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Computer Network
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Neural Network based Cognitive-eNodeB Deployment in LTE Uplink
Rajat Babanrao Urade, Dr. Manish Sharma
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
This paper presents a random neural network (RNN) based novel framework to improve ICIC and radio
resource management (RRM) in LTE system. In order to reduce inter-cell interference (ICI), the RNN
based cognitive engine (CE) is embedded within the eNodeB which allocates optimal radio parameters to
attached users and also suggests acceptable transmit power to users served by adjacent cells.. The three
CE design features long-term learning, fast decision making, and less computational complexity essential
for the development and practical deployment of any real-time cognitive communication system and most
of the existing AI/ML based cognitive solutions in literature lack them. The performance of RNN based
optimization framework is compared with artificial neural network (ANN) and state-of-the-art fractional
power control (FPC) scheme. The result is verified and concludes with a better performance compare to
traditional.
Performance Evolution of Cooperative Massive MIMO Downlink 5G Cellular
System
Jayashree Pradip Rithe, Dr. Dilip Khairnar
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
In this Paper, Massive MIMO(multiple input multiple output) technology is proposed to 5G cellular
system which improves throughput and spectral efficiency. The system performance based on LTE
system. Cooperative Massive MIMO system contains multiple base station antennas for multiple users.
Cooperative Massive MIMO improved the system performance of Cell edge users by using Matched
Filter (MF) Pre-coding. For 5G system Massive MIMO uses a large number of antennas with an order for
magnitude more antennas than current LTE systems. MF (matched filter) Pre-coding is used at the
eNodeBs to reduce inter user interference by using asymptotical Orthogonality among users. Cooperative
Massive MIMO is used to eliminate to inter cell interference, pilot Contamination by using large number
of base station antennas used.
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Dynamic Spectrum Allocation for Hybrid Access Cognitive Femtocell
Network
Sanjyot Dattatraya Godase, Trupti Wagh
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
The cognitive femtocell is an inspiring technology that solves the indoor coverage problem in future
cellular networks also Cognitive radio (CR) support dynamic spectrum access. In this paper, a new
dynamic spectrum allocation method for hybrid access cognitive femtocell is proposed. In the proposed
method, the macro base station (BS) allocates a portion of subchannels to the femto access point (FAP) to
serve the macro users (MUs). Then, the FAP allocates the subchannels and power to maximize the
femtocell network utility, whereas the throughput of the served MUs is guaranteed.
Improvement of NFCA an Energy efficient Routing protocol by combining
ModLEACH and PEGASIS in WSN
Ruts Ajay Kale, Mrs. Sayali N. Mane
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
The objective of reducing energy consumption at the sensor nodes has become a key research area for
wireless sensor networks (WSNs) in recent years. With the steady increase in the cost of energy, the
existing algorithms and protocols need to be redeveloped. In this paper, a combination of 3 different
energy-efficient routing protocols, ModLEACH (Modified Low energy adaptive clustering hierarchy),
PEGASIS (Power-Efficient Gathering in Sensor Information Systems) and NFCA (Nearest Fixed
Clustering Algorithm) which forms fixed clusters is proposed to boast the performance even more,
considering metrics of throughput, network life and cluster head replacements. Energy consumption,
average packet delivery ratio, throughput for ModLEACH, PEGASIS, NFCA are measured
independently, and NFCA by combining ModLEACH and PEGASIS in WSN with more number of
nodes to transmit the packets from source to destination are implemented and outputs are shown using
graphs, with parameters like Energy consumption, Average packet delivery ratio, Throughput for NFCA
are measured and outputs are shown using graphs.
SELF-COHERENT OFDM WITH UNDERSAMPLING DOWN-
CONVERSION FOR WIRELESS COMMUNICATION
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Kadri Abbas Yasin, Dr. Mukund Wani
Dr. D Y Patil School of Engineering and Technology via Lohgaon, Charholi [103]
ABSTRACT
Orthogonal frequency-division multiplexing (OFDM) is a technique for encoding digital information on
numerous carrier frequencies. OFDM has formed into a well-known plan for wideband digital
communication, utilized in applications such as digital television and audio broadcasting, DSL Internet
access, wireless networks, power line networks, and 4G mobile communications. OFDM is a frequency-
division multiplexing (FDM) scheme utilized as a digital multi-carrier modulation technique. A large
number of closely spaced orthogonal sub-carrier signals are utilized to convey information on a few
parallel information streams or channels. Each sub-carrier is modulated with a conventional modulation
scheme (such as quadrature amplitude modulation or phase-shift keying) at a low symbol rate, keeping up
aggregate information rates similar to conventional single-carrier modulation schemes in the same
bandwidth. We adopt a under sampling down-conversion strategy in conjunction with self-intelligible
OFDM. We demonstrate that with the self-intelligent demodulation, the extra PN presented by under
inspecting down-change can be essentially lessened. We think about diagnostically the framework
execution of self-coherent OFDM utilizing under sampling down-conversion with two other conventional
OFDM frameworks: one with super-heterodyne recipient and the other with under sampling down-
conversion. We demonstrate theoretically and by simulations that both in AWGN and frequency selective
fading channels, self-coherent OFDM with under sampling down conversion outperforms the two
conventional OFDM frameworks notwithstanding when intermarried interference (ICI) compensation
schemes are applied.
Peak cancellation scheme for reducing PAPR in OFDM
Kamble Damayanti Dattatraya, Prof. Vishal Katekar
Dr. D Y Patil School of Engineering and Technology via Lohgaon, Charholi [103]
ABSTRACT
In every wireless communication system in the power amplifier (PA) is use for transmitting and receiving
the signal as long as. If we design the PA using different hardware it’s required more component and time
.PA is the most power-hungry component in a wireless base station transmitter, and reducing the peak-to-
average power ratio (PAPR) of wireless signals is an important issue for its effective use. In this paper,
we focus on implementation of the peak cancellation (PC) technique for multiple signal, which is known
as the simplest method for PAPR reduction. Peak cancellation (PC) is known as one of the simplest peak-
to-average power ratio (PAPR) reduction techniques that are applicable to various communications
standards. The basic advantage of PC is its easy for hardware implementation, but it induces in-band
distortion and out-of-band radiation. In order to restrict the amount of distortion within an acceptable
level, it is critical to carefully design the cancelling pulses as well as the envelope threshold over which
PC is applied.
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Implementation of Share Based Image Encryption Method
Rozario Fiona Francis, Dr. Mukund G Wani
Dr. D Y Patil School of Engineering and Technology via Lohgaon, Charholi [103]
ABSTRACT
Encryption being an integral part of any
communication today, it is important that the encryption
algorithm be simple, convenient and yet effective without
demanding overheads of storage and large computational times.
This paper presents the results of implementing the share-based
method of image encryption, which fulfills the said requirements.
Resource Allocation For Cognitive Radio-Enabled Femtocell Networks
Ashtekar Mahadev Chandrakant, Dr. Mukund Wani
Dr. D Y Patil School of Engineering and Technology via Lohgaon, Charholi [103]
ABSTRACT
Conveying femtocells underlying macrocells is a promising approach to enhance the limit and improve
the scope of the cell frameworks. Be that as it may, such a two-level system too offers ascend to cross-
level and intra-level obstruction issue that ought to be tended to appropriately so as to obtain the potential
execution pick up. In this paper, we concentrate the Resource Allocation (RA) issue in a two-level
Orthogonal Frequency Division Multiplexing Get to (OFDM)- based heterogeneous cell arrange, where
the femtocells that utilize shut get to procedure are prepared with Cognitive Radio (CR) capacity to
recognize radio environment so they can impart subchannels to the macrocells without producing
unreasonable impedance to the Macrocell Users (MUs) which fall into the scope of the femtocells. Here,
define an enhancement undertaking to amplify the whole throughput of the Femtocell Users (FUs) under
the thought of blemished range detecting and channel vulnerability, while controlling the impedance to
the MUs beneath their tolerable limits in the feeling of likelihood. We introduce a conservative convex
approximation to the formulated problem and develop a fast algorithm to solve it by exploiting its
structure. Simulation results show our proposal can improve the throughput of the FUs without almost no
changes of the infrastructure of the cellular network.
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System for Detecting and Monitoring Harmful Emissions
Sneha Nagarkar, Dr.Bhavna Ambudkar
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Today, Information and Communication Technology (ICT) devices are being used in almost
every field and have become an important part of our lives. The versatility these devices has not only
changed our way of thinking but has also accelerated the rate development many times.
Electromagnetic field radiations and carbon footprints from the ICT devices and pollution creating
entities in the surroundings are becoming ubiquitous within the environment which further is causing
various health problems to the device users. So, there is a need to control and reduce these harmful
emissions. Green communication does have the potential to significantly reduce these
harmful
emissions worldwide. In this paper, we are presenting the research done and proposed system for
radiation detection and monitoring from ICT devices and green communication technologies to help
control and the effects of emissions
Performance Enhancement in Coginitive Radio using Artificial Neural
Network
Nilambika Jawalkote, Prof.Mahua Bhowmik
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
The cognitive Radio is becoming popular in communication systems due to its dynamic spectrum sensing
technology. Due to its dynamic spectrum sensing it allow effective use of vacant spaces that are not fully
utilized for the communication. As any change in one of Quality Of Service (QOS) parameter affect the
performance of total system due to inter-dependability of parameters we have to carefully determine the
parameters value like threshold, transmission power. After determining these values carefully we can use
artificial neural network to enhance performance of system. Artificial Neural Network can be
implemented with actor- critic structure which provide methods for learning optimal control solutions
using its training data.
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Wireless Sensor Networks Application for Human Safety In Disaster
Management using 5G Network
Pankaj Kolhe, Prof. S.D. Chavan
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
To increase road and area awareness to public /human safety in case of accident happen with hazard’s
substance carrying vehicle, gas or fuel tanker on road. Accident may create different issue on road
because oil spared on road other vehicle may skid or Gas leakage or fire in vehicle may crate problem to
nearby residents people and travelling people.
So our aim to detect such accident and inform respective authority and aware this information to nearby
people and resident people by wireless using speed of 5G Network.
This network can give actual location of victim vehicle , inform to respective authority vehicle speed is
crossing its limit, driver may drunk while driving to avoid such accident, due to accident this Information
can be given to people over mobile or internet who are in that area of cell.
TSS: An Energy Efficient Communication Scheme For Wireless Sensor
Networks
Archana Kumbhar, Dr.Lalit Wadhwa
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
WSN consist of large number of self organized sensor nodes with sensing, computation and wireless
communication capabilities. These sensor node are distributed in monitored area used to collect, transmit
and process data. In WSN it is very difficult to charge or replace the batteries, thus energy efficient
communication is important part in WSN. Such a wireless sensor networks typically require low cost
devices and low power operations. Hence, this networks usually employ radios with only simple
modulation techniques such as ASK, OOK and FSK . In this paper, we proposed anenergy efficient
communication scheme for wireless sensor networks that is based on the ternary number system encoding
of data called as Ternary with Silent Symbol (TSS). In this system silent symbol technique is used to
convert data from binary to ternary.TSS savse the energy simultaneously both at transmitter and receiver.
Interference Mitigation Approach in Massive MIMO Towards 5G Networks
Ekta Srivastava, Dr.A.V.Kulkarni
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Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
During the recent years, the requirement of higher data rates has been increasingly growing to gratify
consumer’s desire for quicker and smarter wireless network. Existing wireless system has crunch in
spectrum resources in turn making is difficult to increase the performance in limited bandwidth. 5G
technology has solution to this problem. Large network capacity, ultra-low latency and heterogeneous
device support are the important features in 5G Technology. 5G Technology is built on multi-tier
architecture using several low power Base Stations (BSs) inside small cell. Simultaneous usage of the
same spectrum causes interference which further reduces the system throughput and network capacity.
Using resource management in 5G interference between devices can be minimized. In this work we
introduce feedback on cell association and antenna allocation algorithms based on the evolutionary game
theory for interference mitigation.
Localization Based Energy Improvement of WSN in Disaster Condition
Niharika Sharna, Prof.S.D.Chavan
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Wireless sensor network is a network of many sensor nodes, having wireless channel to communicate
with each other without any centralized control and predefined communication link by which it can
transfer signal to the exterior world. One of the major usages of WSN is in Disaster Management. WSN
utilize the technologies which can cause an alert and the immediate rescue operation can be triggered
whenever the disaster occurs. Sensor nodes are tiny device which sense the surrounding environment and
send the processed data to main station using routing protocol. The main challenge of WSN is energy
efficient routing to save the energy of nodes as these tiny devices are limited battery operated. In this
project, for efficient disaster management we propose localization based energy improvement - Ant
colony optimization (ACO) algorithm which utilizes RSSI localization technique to locate the sensor
node and energy improvement is done by estimating distance value through RSSI i.e. transmission power
is adjusted according to the distance parameter of each node. This approach is implemented into ACO
algorithm which is highly suitable for finding the adaptive routing for network
Design and Simulation of ABC Algorithm using RSSI in WSNs
Ankit P. Datey, Prof. S.D. Chavan
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Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Wireless Sensor Network (WSN) is a self organized and self managed network. WSN is decentralized by
a collection of mobile nodes. The major problem in WSN is fast changing nature due to the random
movement of the nodes. Routing is the process of moving information across the network from a source
to a destination. In case of disaster, routing becomes challenging in this type of networks. For the disaster
management, there is no direct method presented so far in WSN. However there are different optimization
techniques such as PSO (Particle Swarm Optimization), GA (Genetic Algorithm) etc. are designed for
nodes localization and corrections. In this project, we are designing the novel ABC (Artificial Bee
Colony) based routing protocol for efficient disaster management. The proposed approach is based on two
new contributions in existing ABC method such as clustering and RSSI (Received Signal Strength
Interface) to achieve optimum routing performance.
Environmental and dynamic assessment of electronic products as per
automotive standard and technique to improve reliability
Sreekumar U, Dr.Shreenivas Jog
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
This paper presents the work done in the area of assessment of electronic product reliability and the
methods of reliability prediction. GPS based system used as a model to predict reliability. Simulation soft
wares are used to predict the system reliability. This will identify dominant failure affecting the reliability
of automotive electronics and the mitigation technique used to increase the reliability.
EMI / EMC assessment of Automotive Electronics Products & Proposing
mitigation techniques for improvement in compatibility of equipments as per
Automotive EMI /EMC Standard AIS 004
Dere Amol Kailas, Dr.Shreenivas Jog
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
The Main objective of the paper is to investigate Radiated and Conducted Emission fromGPS coordinates
transmission systemand to make the system compatible with AIS004 Part 3 EMI/EMC standard. This
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board consists of WIFI, BLUETOOTH and GSM technology. The Emission from GSM Board,GPS
Receiver Board ,Bluetooth board and WIFIBoard had been measured with HAMEG make Line
Impedance Stabilization Network (LISN) and Agilent Spectrum analyzer E-4411B. Conducted Emission
levels were measured with and without RFI filter used in power supply section of the system. The
Conducted Emission level was found to be around 50 dBV. With addition of RFI Filter, the Conducted
Emission level found to be reduced by around 15 dB to 20 dB. These levels are compared with MIL-
461E, FCC and CISPR Standards for Conducted Emission. GPS coordinates transmission system with
RFI Filter could meet compatibility requirements with AIS 004 part3 EMI/ EMC Standards.
To maximize Energy Efficiency in WSN using ACO
Dhanashri V. Kadam, Prof.P.H.Kulkarni
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
The use of wireless sensor networks (WSNs) is very common and frequently required for diverse set of
applications such remote monitoring, forecasting, security etc. Since from the last two decades, the most
widely studied research problem in WSNs is network lifetime performance due to the limitations on
battery of sensor nodes. There are some recent techniques presented to solve problem of maximizing the
WSNs lifetime under the different domains. However, energy efficiency is still the open research problem
for WSNs. The optimization method called ant colony optimization (ACO) shown the promising
performance for improving the energy efficiency in WSNs recently. With this motivation, in this paper,
we are presenting the modified ACO based routing method with goal of maximizing network lifetime of
WSNs and energy efficiency. The proposed application is based on technique of two contributions, first is
searching maximum disjoint connective covers in order to satisfy the requirement of network connectivity
as well as sensing coverage. This solves the problem of searching and network connectivity and hence
improves the energy efficiency using ACO. Secondly, we contributed by using optimum path selection
for data transmission by considering the energy constraints of sensor nodes based on set of pre-defined
rules. This helps to improve the network lifetime of WSNs. The results show that performance of
proposed ACO method is better as compared to previous variants of ACO.
Applications of Wavelet transform Curvelet transform and their combination
in Image De-noising
Madhuri Manohar Pawar, Dr.Deepali Sale
Dr. D. Y. PATIL IoET, PUNE [024]
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ABSTRACT
Medical images are captured with different techniques such as Computed Tomography, Magnetic
Resonance Imaging (MRI), Ultrasound and X-ray. Noise is added in these images during image capturing
and transmitting process. It reduces the image quality. Medical image contains various types of noise such
as Gaussian noise, random noise etc. Image de-noising techniques are used to remove the noise or
distortion from the images while preserving the important features of the image. In this paper, we first
added different noise such as Gaussian and Random noise in the medical images. Then we applied
Wavelet Transform and Curvelet transform on noisy images to de-noise the images. A quantitative
analysis of these de-noised images is performed using the parameters like Peak signal to noise ratio,
Universal Image Quality index and Structural Similarity Index Measure (SSIM).
Predictive learning model in Cognitive Radio using Reinforcement Learning
Sharada Tubachi, Dr.Mithra V.
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Drastic change in the technology of wireless devices and application increases the demand of wireless
spectrum. Conventional fixed spectrum allocation method is unable to satisfy tremendous spectrum needs
resulting in bottleneck condition. To overcome from this problem Cognitive Radio is comes into the
picture. Cognitive Radio is a wireless radio that can detect available unused channels in a wireless
spectrum automatically and share the unused channels to secondary users and also improve radio
operating behavior without interfering with primary users. In this paper we studied a reinforcement
learning technique to predict the throughput using the CACLA algorithm. The performance metrics of
learning such as execution time, average throughput predicted and the variance of throughput predicted
has been observed using MATLAB simulator.
Design and Performance Evaluation of an Energy Efﬕcient Routing
Protocol for Wireless Sensor Networks
Archana Ashok Patil, Prof.P.H.Kulkarni
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
In recent years, the advancements in wireless Communications and electronics have enabled the
development of lowcost,low-power and multi-functional Wireless Sensor Networks (WSNs). As nodes in
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sensor networks are equipped with a limited power source, efficient utilization of power is a very
important issue in order to extend the network lifetime. In this paper, a routing protocol namely GAICH
(Genetic Algorithm Inspired Clustering Hierarchy) that provide efficient energy management for WSNs is
proposed. This protocol makes use of Genetic Algorithm(GA) to create optimum clusters in terms of
energy consumption. Using a standard radio energy dissipation model that is used for the simulation of
WSNs, the performance of this algorithm is simulated and compared with an already existing LEACH
routing protocol for WSNs.
INTEREFERENCE MINIMIZATION APPROACHES IN 5G NETWORK
Mayuri Jundhare, Dr.A.V.Kulkarni
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
The Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS)
project is laying the foundations of Fifth Generation (5G) mobile and wireless communication system
putting together the point of view of vendors, operators, vertical players, and academia. Femtocells are an
effective method for decreasing foundation costs while giving better information rates and scope. High
entrance is normal in the up and coming ultra-thick 5G systems, expanding the likelihood of femtocells'
bunches. Solid coming about obstruction for close-by non-subscribed clients will require obstruction
relief systems. In this paper we introduce a system where different femtocells arrange their transmission
to serve numerous non-subscribed clients through crossover get to. To start with, the range portion of
non-subscribed clients by femtocells is resolved. At that point, we present a power control calculation that
depends on two components. The requirement for pay for the subscribed clients, because of lessened
range, furthermore, the impact that any adjustment in power transmission will have on neighboring
femtocells. We assess the viability of the calculation through reproductions on individual throughput and
general accomplished limit.
Enhancing Security through Multimodal Biometric System
Priyanka Tekade, Prof.Priti Shende
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Personal identification is a critical issue for various applications such as access control, electronic
commerce, banking, communications etc. Multi biometric based recognition technique is more secure
than the conventional password based technique. When two or more biometrics used for identification of
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person then the system called as Multimodal Biometric system. In this paper, we are going to propose a
robust security system for personal identification using multimodal biometric system. Three modalities
are used in this system face, fingerprint and palm vein. Feature extraction is done with different algorithm
of each modality. Local Binary Pattern (LBP) algorithm is used for face feature extraction. Discrete
Wavelet transform (DWT) is used for Palm vein feature extraction. And minutiae algorithm is used for
finger print feature extraction. Then feature level fusion is done. The proposed method is carried on self
generated database images. Finally the more accurate results are achieved. In future, we can further
enhance the security adding some encrypted key after fusion.
Simulation of Energy-Efficient Transmission Scheme inn WSNs by using CNS
Pooja Nile, Dr.Lalit Wadhwa
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
Wireless Sensor Networks (WSNs) are resource constrained in terms of limited battery energy,
bandwidth, memory, and processing performance. The energy consumption is the major research issues
due to limited battery power while designing the algorithms and routing protocols for WSNs. At every
level of WSN operations such as computing, routing, sensing etc. efficiency in energy is required. The
consumption of energy in radio communication is majorly depends on number of bits of data which is to
be transmitted between sensor nodes. The bits are then encoded into the packets during the transmission
process through the routing protocol. The consumption of energy can be reduced by compressing the bits
before transmitting at transmitter. Compression helps to reduce the total number of bits to be transmitted
and hence resulted into energy consumption reduction and improves the network lifetime. In this paper,
we are presenting the Compression with Null Symbol (CNS) method and the modified CNS (MCNS)
compression methods while transmitting data from transceiver to receiver in WSNs. MCNS is based on
existing CNS technique by using the adaptive fuzzy based encoding algorithm with CNS technique. The
CNS and MCNS are designed as WSNs routing protocols and compare their performance in terms of
energy efficiency, network lifetime and data rate performance using NS2
Driver Safety Approach Using Efficient Image Processing Algorithms for
Driver Distraction Detection and Alerting
Omar Wathiq, Dr.Bhavna Ambudkar
Dr. D. Y. PATIL IoET, PUNE [024]
ABSTRACT
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Now days there is increasing road accidents due to different reasons. Road accidents are prone to number
human deaths. There are different reasons leads to road accidents, but drivers fatigue or distraction is
main threat in major accidental cases. Therefore, recently various methods explained by many authors for
early detection of driver drowsiness in order to prevent accidents on road. In this paper we are presenting
the novel approach called hybrid method in which automatic care of driver safety and hospitality
management services. Our approach aims at determining first if a driver is distracted or not based yawing,
eye position, head position, mouth position etc., second if driver is detected as distracted instance
alarming will perform on both driver side and near hospital services in order to be available in case of
accident happen. Based on computer vision techniques, we propose four different modules for features
extraction, focusing on arm position, face orientation, facial expression and eye behaviour and then the
outputs of all this phases combined together and feed to the classifier feed forward neural network
(FFNN) for alarming the distraction detection and type of distraction. The outcome of this paper is
efficient driver safety approach by considering the RGB-D sensor and image processing algorithms.
Wearable Technology - Implementing the physical web using bluetooth low
energy
Ankita Singh, Prof. A.M. Patki
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
BluetoothLow Energy: a new low power sensor network technology was introduced in this paper. It’s not
that BLE wireless communication is not only very low power consumption but it can be very easy to co-
operate with smart terminators like smart phones and tablet PCs.We have estimated power consumption
of BLE and reported some BLE applications we are developing, including a wearable health thermometer
smart manufacturing over BLE (SMoB) technology for industrial 4.0 within this paper.
FACEBOOK BASED HOME APPLIANCES SECURITY CONTROL AND
MONITORING USING MICROCONTROLLER
Vineet Pratap Singh, Prof. Urmila Deshmukh
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
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The real-time home appliance status is currently created in various fields. New innovation is important to
prepare the extensive measure of status data that is gotten each day. A creative technology that has as of
late been utilized to process a lot of information is cloud computing. Thusly, a model to control and
monitor home apparatuses utilizing Facebook in a smart home environment is proposed in this paper. In
the proposed strategy, the Facebook verified and preloaded Ethernet device collects and stores home
appliance information and sends the information to the Facebook user page. This information can be
shared to approved client or user via social networking sites to fulfill home automation. Flexible
embedded processor and with the support of open source packages the required camera framework and
systems for Facebook administration and one time password management are implemented. The
framework created gives easy to use automation for security of home utilizing Facebook and can be
enhanced in future utilizing bio metric validation. The user can control the appliances of smart home by
sending commands from their Facebook account.
SMART HUMAN BODY MONITORING AND MANAGEMENT USING
IOT, BASED ON MATLAB AND ARM11
Pallavi Gajbhiye, Prof A.M.Patki
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
Abstract —Each With the multiplication of Internet of Things (IOT) gadgets, for example,
Smartphone's, sensors, cameras, it is conceivable to gather enormous measure of information for
confinement and following of Health of the patient. This venture portrays the outline of a straightforward,
ease controller based patient wellbeing checking framework. This instrument utilizes a basic Opto
electronic sensor, helpfully strapped on the finger, to give nonstop sign of the beat digits. The Pulse
screen works both on battery or mains supply. It is perfect for nonstop observing in operation theaters,
I.C. units, biomedical/human designing studies and games pharmaceutical. This project utilizes managed
5V, 750mA power supply. 7805 three terminal voltage controller is utilized for voltage direction. Connect
sort full wave rectifier is used to redress the ac yield of auxiliary of 230/12V stage down transformer.
Lung Health analyzer will be shown on the LCD show which is associated with the Micro controller.
Protocol Implementation of Secured Wireless Sensor Networks in Chemical
industry
Rushikesh Bhapkar, Prof. Anjali Patki (Hod E&Tc)
INDIRA COE & MANAGEMENT, PUNE [052]
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ABSTRACT
This project propose a bandwidth-efficient authentication scheme in Wireless sensor network. In Wireless
sensor network any node can be compromised by inserting incorrect data into the wireless node because
of that anyone can gain unauthorized control over that node. In this project we are
proposing/demonstrating the algorithm which will filter the incorrect the data by adding secured
authentication mechanism within the node while transferring the data.
Reflective Optical Programmable Encoder
Hanumant Nawale, Bhagwat D.S
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
Control on motion system can be derived
by various way, To achieve this control and perfection
in the work and less losses to get higher efficiency and
more production various transducers are used being
different technology biased are available but here
technology explained is integration of reflective
photodiode with inbuilt Blue led with interpolation
techniques for achieving higher Resolutions in
arrangement of x2and x4 .Reflective optical with
interpolation is the correct solution for motion control
applications ,In addition of Blue led technology
provides product design is very compact
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Highly Secured IoT based HealthCare System for Elderly People using Body
Sensor Network
Snehal Sanjay Kale, Dheeraj S Bhagwat
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
Advances in information and communication technologies have led to the emergence of Internet of
Things (IoT). In the advanced medicinal service environment, the utilization of IoT technologies brings
convenience of physicians and patients since they are applied to different medical areas (for example,
real-time monitoring, patient information management, and healthcare management). The body sensor
network (BSN) technology is one of the core technologies of IoT developments in healthcare system,
where a patient can be monitored utilizing a collection of tiny-powered and lightweight wireless sensor
nodes. This paper presents a low cost and flexible body sensor network system using an embedded micro-
web server, with IP connectivity for getting and controlling the remotely using Android based Smart
phone app. To demonstrate the feasibility and viability of this system, devices such as light switches,
power plug, temperature sensor and current sensor have been integrated to design propose a secure IoT
based healthcare system using BSN, called BSN-Care, which can effectively fulfill those requirements. It
is very important to monitor various medical parameters and post operational data. To get the patient’s
medical parameters in local and remote area, healthcare communication using Internet of Things (IoT)
method is adapted. The main objective of this paper is to transmitting the patient’s health monitoring
parameters through wireless communication. These input data are uploaded in cloud server and
transmitted to the computer and mobile for family and specialist's reference.
COTS Based Low Energy Multiprocessor Embedded System- A Hardware
Platform COTS Based Low Energy Multiprocessor Embedded System- A
Hardware Platform
Utpal Manna, Shweta Banait
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
In this paper we proposed a framework which can enhance the wellbeing and security in vehicle.Uniting
the Global Positioning system innovation this article plans and acknowledges one sort of embedded
wireless system named intelligent vehicle control for critical remote location application utilizing ARM 7
microcontroller from the hardware and software. Regarding the hardware finished the design and
connection of ARM embedded framework, GPS module, different parameter monitoring sensor modules
and the GSM module. To design complex embedded systems while diminishing the improvement time
and cost, there is an awesome propensity to utilize commercial off-the-shelf (“COTS―) devices. At
system level, dynamic voltage and frequency scaling (DVFS) is amongst the best systems for energy
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diminished. Regardless, widely utilized COTS processors either don't have DVFS or apply DVFS just to
processor cores. To accomplish energy saving, DVFS is obliged the whole microcontroller (including
core, phase-locked loop, memory, and I/O). Besides, facilities are given for testing with fault-tolerance
methods. Despite the fact that the stage is intended for ARM-based embedded frameworks, our approach
is general and can be connected to different sorts of frameworks.
FACE RECOGNITION AND AUTHENTICATION USING LBP AND BSIF
Amrata Patil, Miss. Meenakshi Patil
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
In this paper, a face recognition and authentication method that can detect and eliminate the presence of
the mask is proposed. The proposed method utilizes facial features, which are captured locally and
globally to distinguish between a mask and a real face. The features employed here are extracted from the
whole face as well as the eye and nose regions that are expected to provide a clue on the presence of the
mask. Here, Local binary pattern (LBP) and Binarized Statistical Image Features (BSIF) are utilized to
extract the texture features of the face for recognition. Then for classification Euclidean distance classifier
is used whose scores are fused using the weighted sum rule for making the decision about a real face or a
mask attack. 3D mask database 3DMAD is used for testing the algorithm
Protocol Implementation of Secured Wireless Sensor Networks in Chemical
industry
Rushikesh Bhapkar, Prof. Anjali Patk
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
This project propose a bandwidth-efficient authentication scheme in Wireless sensor network. In Wireless
sensor network any node can be compromised by inserting incorrect data into the wireless node because
of that anyone can gain unauthorised control over that node. In this project we are
proposing/demonstrating the algorithm which will filter the incorrect the data by adding secured
authentication mechanism within the node while transferring the data.
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Performance analysis of resource scheduling in LTE Femtocell network
Truptisharadjakkulwa, Meenakshipatil
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
The long term evolution -
advanced(LTE-A)basedheterogeneous
networkshasstartedfocusontheFemto
basedcelldeployment.TheseFemtocells
arelowpoweredintelligentdevices,which
are placed in the random passion at
home and office premises. Such
arrangement has benefited the
customersandserviceprovidersinterm
of network coverage and spectraefficiency.In this paper,the resource
allocationstrategyisimproved.Thenthe
scheduling algorithm makes use of
adaptive modulation and coding
techniquebyreferringtheCQIparameter.
Convolutional Neural Network For Detection and Classification of Interstitial
Lung Diseases
Namrata Bondfale, Shweta Banait
INDIRA COE & MANAGEMENT, PUNE [052]
ABSTRACT
Automated tissue characterization is standout amongst the
most essential parts of computer aided diagnosis (CAD) system for
interstitial lung diseases (ILDs).Deep learning strategies provides
impressive results in variety of computer vision problems such as
medicinal picture investigation. In this paper, we plan and evaluate a
convolutional neural network (CNN) for the classification of ILD
patterns. The proposed system comprises of 5 convolutional layers with
2X2 bits and LeakyReLU activations, trailed by normal pooling with
size similar to the span of the last component maps and three thick
layers. The last thick layer has 7 defer, equivalent to the classes
considered solid, ground glass opacity (GGO), micro nodules,
consolidation, reticulation, honeycombing and a combination of
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GGO/reticulation. Future work incorporates extending CNN to
three-dimensional data (information) gave by CT volume scans and
integrating the proposed method into CAD framework that intends
differential diagnosis for ILDs as a strong device for radiologists.
RECONFIGURABLE ARCHITECTURE BASED ON FPGA FOR OFDM
TRANSMITTER
Swami Shephali Vijaykumar, Prof. V.B Raskar
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
OFDM is a special case of multi-carrier modulations, which is of great use in various wireless
communications, such as DAB, DVB, HDTV, CMMB, TMMB, 802.11a. The OFDM frame structure is
similar to each other. Nowadays, wireless mobile communications have expanded dramatically all over
the world, leading to a need to increase their bandwidth capacity. One way to increase the capacity of a
wireless mobile communication system is to improve the communication technology. Orthogonal
Frequency Division Multiplexing (OFDM) is considered the technology for the next-generation
broadband wireless systems. Therefore, the main communication blocks must be designed with high
capability in terms of configurability. This paper presents the architecture and implementation of a
reconfigurable Orthogonal Frequency Division Multiplexing transmitter with such capabilities. This
transmitter supports 4/16/64-QAM (Quadrature Amplitude Modulation) modulation in superimposed
training (ST) and data-dependent superimposed training (DDST). The proposed architecture is capable of
generating frames for the Long Term Evolution standard and with minimal modifications can also
generate frames for IEEE 802.11a and 802.11g standards. Results have shown a moderate good SQNR
performance of 50 dB average.
Invisible Video Watermarking For Secure Transmission Based On Dwt And
Pca.
Narute Ratnagouri Balasaheb, Prof. Siddhasen R Patil
MIT PUNE [002]
ABSTRACT
We present a new invisible robust non blind watermarking scheme. In this proposed algorithm cover
video is divided into frames and watermark is inserted into selected frames. For selected video frames
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two-dimensional single level discrete wavelet transform is carried out on luminance component. The
proposed scheme embeds the monochrome (logo) watermark into the high and middle {HL, LH, HH}
frequency bands of luminance channel of the video. The Red (R), Green (G) and Blue (B) channels of
video are transformed into YUV Channels, the Luminance channel of video is decomposed using Discrete
Wavelet Transformation (DWT), and then the high and middle frequency components of this Luminance
are used to select the area of embedding the watermark in frame. High rigidity or effectiveness of
watermark is preserved by using the Principal component analysis as one of the imp step in the
embedding the watermark so that it will preserve the watermark more efficiently in the video. The
performance of the algorithm is proved by calculating the PSNR after extraction process also by applying
the attack on the video to prove the improvement in the algorithm than previous.
Underwater video transmission using OFDM
Durgade Seema Dilip, Prof. Siddhasen R Patil
MIT PUNE [002]
ABSTRACT
UWA channels display time-differing multipath characteristics... To this end, OFDM is notable for its
heartiness against multipath channels however is inclined to ICI prompted by time variety. All the more
as of late, motivated by spatial adjustment, the alleged IM-OFDM has likewise been proposed to give
higher framework throughput than plain OFDM under specific conditions. A key component of IM-
OFDM is that fractional subcarriers are kept idle. This could conceivably enhance framework execution
within the sight of ICI. Utilizing on this, we are the f irst to propose IM-OFDM for UWA interchanges.
Then again, notwithstanding, we understand that ICI could possibly prompt to vitality spillage from
dynamic subcarriers to idle ones, and disable the demodulation of IM-OFDM. In this article, we present
IM-OFDM for UWA interchanges and propose a half breed IM-OFDM plot with enhanced ghastly
proficiency. Then survey existing ICI self-cancelation strategies for nonspecific OFDM, and propose
another ICI cancelation technique for IM-OFDM.
Automatic Root Cause Analysis of Call Drops for LTE Network with
Unsupervised Techniques
Tejas Chandrakant Bothe, Dr. Rajendra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
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Automatic root cause analysis is a part of self-healing network, which is basically focusing on
identification of problems at user level. In a mobile network, when a call is disconnected abnormally, the
service provider is not able to understand the actual cause of call disconnection, which might affect the
service provided by network operator. Traditionally Service provider send his team to physical site to
gather statistics and data , however as the network size and complexity increases this operation and
maintenance task becomes more problematic. The proposed system provides a method to determine root
cause of a problem without additional cost to make the system more accurate.
Automation of WSN based on Time Synchronizing Technique using CoAP
Protocol
Sukanya Balkrishna Padave, Prof. Gayatri S. Ambadkar
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
The Internet of Things is nothing but a mechanism that has built-in sensors to alert the destination or
client. Also IoT(Internet of Things) is any other natural or man-made object that can be assigned an IP
address and provided with the ability to transfer data over a network. The IoT enables wide range of
applications from the micro to Critical. Major challenge in WSN is nothing but the ability to estimate,
with high accuracy, and to respond more quickly. Hence, for automation accurate time synchronization
between nodes is very important factor to be considered. In this project, time synchronization of wireless
sensor networks based CoAP protocol using Network simulator software has been evaluated. The CoAP
option field and a shim header are used to include time-stamps in the home automation system. The
proposed scheme can thus be applied to both IP-based and non-IP-based home automation systems,
EECoAP is evaluated to focus on problem of energy consumption in WSN.
Keywords- IoT (Internet of Things), Automation, Time Synchronization, WSN, CoAP(Constrained
Application Protocol), EECoAP (Energy Efficient CoAP)
SDN Guided Structure of Mapreduce Function for WSN
Richa Pare, Dr. Rajendra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
In this paper we propose a cost effective map reduce solution guided by SDN for processing of Big data
for a WSN network. The data can be used by multiple authorities or destination based on the requirements
and applications. The execution of map reduce function is guided by software defined networking
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principles. By implementing the SDN WISE protocol not only at sensor nodes but also at controller, Map
and reduce is achieved in wireless sensor network. In this paper we have evaluated the behavior of WSN
network by implementing map reduce function based on SDN wise principle. Then we escalate the map
reduce a step further by electing cluster head in last achieved map and reduce functions. In order to
observe the consequence on various network performance criteria viz. bandwidth, cost of transmission,
throughput etc. a comparative graphical study is plotted. The election algorithm also helps to optimize
utilization of energy of WSN. Which plays a vital role for optimal utilization of a wireless sensor node.
The above study is conducted considering star network topology.
Early Hand off and Mobile Relays for Load Balancing in Wireless Cellular
Networks
Shraddha Suryabhan Kute, Dr. Rajendra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
Remote correspondence is tolerating a fundamental part in our customary life since it offers adaptability
and conveyability. New sight and sound association's requesting information rates of up to various Mbps
and thusly higher rehash social occasions are being investigated to bolster these new high information rate
associations. This study is a pile of fast handoff the plot that huge remote cell system using spread
between base stations for others in a base station connects with a touch of exchange created to modify.
Handoff makes the problem structure present in generous and makes the framework along these lines. The
proposed course of action decreases the another call is blocking likelihood (CBP) & the handoff call
connections is dropping likelihood (CDP) and despite production the point of interest use of remote
systems. Since the game plan is incited by an alliance demand got by the base station, it in a brief moment
showing the stacking with the base station. The current proposed load quick adjustment stop hand
philosophy can be encouraged to confirm control unstable calls organized. During the operation of fast
changing hands heap DMTBR increase with calls to extend the range control is affirmation came. The
proposed course of action makes sense from a remote system, use the asset and can increase the
performance of repair repeat displays the results.
Genetic Algorithm Application for Optimization of Clustering & Node
Placement in Wireless Sensor Network
Pooja Ashok Chavan, Dr. Rajendra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
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ABSTRACT
Wireless sensor networks (WSN) are used in various applications therefore it creates the necessity for the
enhancement of the presently existing protocols and parameters. The operational stages of WSN
comprises of clustering, node placement, network coverage and data aggregation. In this article we have
focused on the cluster-ing and node placement of WSN. In the clustering of wire-less sensor networks the
simulation and analysis of the Ge-netic algorithm based clustering and Low energy adaptive clustering
hierarchy (LEACH) is done for numeric com-parison of energy consumption and no. of alive nodes using
NS2. In the node placement of wireless sensor networks the simulation and analysis of node placement
based on Genetic algorithm and HEAL existing node placement strategy is done for numeric comparison
of no. of move-ments and distance travelled using NS2.
Search of Data Using Opportunistic Network in Digital Pockets
Anushree Siddhesh Dhore, Prof. Gayatri S. Ambadkar
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
There is huge increment in use of mobile devices in recent couple of years. As the number of clients of
smart phones are increasing , the traffic contents generated are also expanding. Huge mass of information
is generated and shared between many users. Along with the network, there comes various parameters
like overhead, delay, throughput, jitter, dropping ratio, energy, packet delay ratio (PDR), etc. These
parameters decide the flexibility and lifetime of the network. Opportunistic network is unconstrained
communication between the clients of digital pockets (Mobile gadgets). We propose the solution of
making this opportunistic network better by increasing or decreasing the discussed parameters as per
requirement by dividing the particular area into dense and sparse network. We select a particular node
which will broadcast the message according to type of network.
Performance Enhancement of Multipath TCP for Wireless Communication
with Multiple Interfaces
Pranali Anurath Ghadge, Prof. Gayatri S. Ambadkar
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
Multipath-TCP is an algorithm with a lot of importance
to improve the quality of service. The algorithm is useful
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for private and commercial users as well for quality
improvement. It leverages the multiple available paths
and sends packets through all the available paths. The
growing of Multipath TCP has received a growing interest
from both researchers who publish a growing number
of articles on the topic and the vendors since Apple
has decided to use Multipath TCP on its smartphones
and tablets. Apple uses this algorithm to support the
Siri voice recognition application.
Multipath transmission control protocol (MPTCP) works
such that TCP connection operates across multiple
paths at the same time without affecting any other
connection. It has become highly attractive to support
the emerging mobile devices with various radio interfaces
and to improve resource utilization as well as
connection robustness. The existing multipath congestion
control algorithms are mainly loss-based. These
algorithms prefer the paths with lower drop rates, leading
to severe performance degradation in wireless
communication systems, where random packet losses
occur frequently.
Automated Framework for Skull Damage Detection and Repair Using KNN
and Template Matching Methods
Nilesh Tukaram Gonjare, Dr, Rajendra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
In 3D computer vision domain of medical applications, geometric data completion of person body parts is
key research problem since from last decade. Human skull damage detection and repairing is one such
application. The current machines used for scanning first collects the fragments of skull and then
automatically assemble them to form the original skull image from such fragments.But the machines
generating the automated assemble skull images having possibility of losing data or having damage in
certain areas of skull images.Automated skull damage detection and repair is vital requirement for
medical researchers and groups to save their time and focus on accurate analysis. In this paper we
proposed the automated framework for skull damage detection and repair using two different approaches.
First goal of our framework is to detect whether input skull is damage or not before proceeding to medical
analysis. The damage detection is done by using machine learning approach in which first features are
extracted and then fed to k-nearest neighbours (KNN) algorithm for detection of skull damage. If the skull
is normal then it should not go for skull repair process, else damage skull is given input to skull repair
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process. The skull repairs are done by using reliable symmetry detection algorithm and template based
method on damaged models, and use it to repair the skull.For performance evaluation we used neural
network classifier to estimate the accuracy of detection and repair.
Resource Allocation using Task Scheduling in Cloud Environment
Subhash Shankrrao Lokahnde, Dr. Rajedra D. Kanphade
Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune
ABSTRACT
Today Cloud environment is in very much demand due to it dynamically allocating resources, by
providing reliable services to end users. One can pay as per usage. In order to satisfy customer
requirement, one has to make provision of accessible assets efficiently to requesting customers as per
their need. Service Level Agreements (SLA) plays very important role during resource provisioning.
Recent works consider single parameter from SLA. Considering numerous SLA parameters and as set
allocation using preemption mechanism for execution high priority tasks for improving asset usage in
cloud. In this paper we proposed an algorithm which considers. Preemptable tasks execution and multiple
parameters such as memory, CPU time, and network bandwidth. Test result appear situations contention
in resources and how algorithm provides better utilization.
Wavelet transforme based OFDM system using turbo code
Vishal Jamdar, Prof. M. M. Jadhav
SINHGAD COE, PUNE [023]
ABSTRACT
Multiple access techniques provide access to multiple users simultaneously. Orthogonal frequency
division multiplexing (OFDM) is one of the type of this technique. In this method the available spectrum
is divided into number of parallel subcarriers forms. Modulation done at each subcarrier by low data rate
stream at different carrier frequency. It suffers from the problems of high PAPR (Peak to average power
ratio), CFO (carrier frequency offset) and inter carrier interference. In this paper Wavelet transform based
OFDM system is proposed for mobile application. The performance of BER is improved by controlling
the effect of PAPR and CFO. The channel coding used for error detection and correction is Turbo code.
The encoding and decoding algorithm is implemented on Raspberry pi with Wi-Fi and ADC with
conversion rate of 2 MSPS is used to cater voice application. The modulation technique used is BPSK for
simulation purpose.
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Polar Coded Modem
Pushkar Gulkari, Prof. M. M. Jadhav
SINHGAD COE, PUNE [023]
ABSTRACT
Presently Turbo Codes are used for voice and data transmission in real world. Prior to them, Polar Codes
were used for same purpose. Polar Codes are the first capacity achieving codes that are used for better
error performance and power utilization. Complexity being low, it is favorable for high rate of
transmission. This project proposes Polar Code based Modem to improve the Bit-Error-Rate (BER)
performance and power consumption. The experimentation will be carried on BPSK/QPSK modulated
signal. The communication will be through Wi-Fi transmission Technique. It uses principle of channel
polarization for encoding and Successive Cancellation (SC) Decoder for decoding. We are using
raspberry pi as processor and ADC that will support the Voice/Data conversion rate of 2 MSPS speed.
The range of communication is nearly 100 m. This will be suitable for 4G Hot-Spot applications.
Development & Implimenting of custom connectivity protocol for
Identification & Tracking of public transit vehicles using portable and station
nodes
Erabathini Chetan Laxmirajam, Dr. R. S. Kawitkar
SINHGAD COE, PUNE [023]
ABSTRACT
Now a day’s tracking of mobile vehicles in a large area outdoor environment based on the Global
positioning system (GPS) and Global system for mobile communication (GSM). Focusing on current
traffic situation in city area and user requirements, we are trying to implement custom protocol based
vehicle tracking system which can help user as well as traffic management. RFID can be useful, but it
has some limitation, hence we are making custom, short range protocol in portable as well as station node
which can be installed in buses and bus stop. Considering today’s fast moving life requirements we are
implementing this solution with efficient lightweight MQTT protocol with required Quality of service and
AWS services.
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MQTT based smart warehouse system for climacteric fruits and vegetables
Priyanka Ramesh Deshmukh, Dr. Deepashree M. Bhalerao
SINHGAD COE, PUNE [023]
ABSTRACT
IOT is playing important role in our day to day life from last few years and brought about a huge
technological development. Message Queuing Telemetry Transport Protocol(MQTT) has emerged as an
extremely lightweight publish/subscribe messaging protocol which is mainly designed for IOT and to be
used in bandwidth constraint environment. Considering its importance this paper discusses the study of
MQTT protocol through the application of smart warehouse system. The designed system makes use of
Raspberry pi model B which acts as a network gateway to update the information on the internet for
remote monitoring and controlling of storage condition of warehouse through the application of IOT. The
user can access the system using the web page on which the storage condition of warehouse along with
the box IDs stored are updated periodically which makes it easy to monitor and control the system
remotely.
Dynamic routing in wireless sensor network under black hole attack
Charulata C. Girsawale, Prof. S.A.Shirsat
SINHGAD COE, PUNE [023]
ABSTRACT
Wireless sensor networks (WSNs) are increasingly being deployed in security-critical applications.
Because of their inherent resource characteristics, they are prone to various security attacks, and a black
hole attack is a type of attack that seriously affects data collection. To prevent that an active detection-
based security and trust routing scheme named dynamic routing is proposed for WSN. The most
important innovation of dynamic routing is that it avoids black holes through the active creation of a
number of detection routes to quickly detect and obtain nodal trust and thus improve the data route
security. The generation and distribution of detection routes are given in the dynamic routing scheme, it
uses the energy to create as many detection routes as needed to achieve the desired security and energy
efficiency. Dynamic routing can significantly improve ability against black hole attacks and can optimize
network lifetime.
Capacity improvement for multi- tier 5G network
Kadum Haitham Al Fatli, Prof. M.N. Kakatkar
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SINHGAD COE, PUNE [023]
ABSTRACT
Recently, there is a significant need of fastest wireless networks and hence their many research works
going on recent wireless technique called 5G. The 5G wireless networks are expected to be a mixture of
network tiers of different sizes, transmit powers, backhaul connections, different radio access
technologies (RATs) that are accessed by an unprecedented number of smart and heterogeneous wireless
devices. Radio resource and interference management will be a key research challenge in multi-tier and
heterogeneous 5G cellular networks. The traditional methods for radio resource and interference
management (e.g., channel allocation, power control, cell association or load balancing) in single-tier
networks (even some of those developed for two-tier networks) may not be efficient in this environment
and a new look into the interference management problem will be required. In this project, our aim is to
enhance the capacity of 5G network along with energy efficiency through the novel resource and
interference management technique. We proposed optimized joint distributed cell association and power
control (CAPC) methods that satisfy objectives such as maximizing system throughput, less energy
consumption, less delay, less latency and balance traffic load subject to a minimum SIR for high priority
users. To address these multiple objectives, resource aware user association can be combined with
conventional cell association methods to satisfy the required objectives. The hybrid cell association
methods combined with prioritized power control will be among the key enablers for evolving 5G cellular
networks.
Automation And monitoring for windows of smart home using internet of
things (IoT)
Pravin Sunil Killare, Dr. Deepashree M. Bhalerao
SINHGAD COE, PUNE [023]
ABSTRACT
Automation and monitoring for windows of smart home using internet of things(IoT). Internet of
things(IoT) or web of things (WoT) is a wireless network between smart products or smart things
connected to the internet. IoT is a new and past developing market which not only connects objects and
people but also billions of gadgets and smart devices. The growing number of applications based on
Internet of Things (IoT) technologies are pushing towards standardised protocol stacks for machine-to-
machine (M2M) communication. Smart home is the terminology of handling and controlling of the
household appliances automatically through microcontroller and android applications. The sole purpose
of this project is to develope a system that will provide remote control of home appliances and also
provide security against the mishaps when the home host is not present, to assist the handicapped/old
aged people at house through the use of internet, using raspberry pi module for the interface and
controlling of the household appliances.
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Queue based secure data transmission for cluster based wireless sensor
networks
Durga Sadashiv Nikam, Prof. M.M.Wankhade
SINHGAD COE, PUNE [023]
ABSTRACT
Secure data transmission in wireless sensor network is challenging task. Clustering is a novel approach
and practical solution to boost the system performance of WSNs. Proposed system presents a secure data
transmission for cluster-based WSNs (CWSNs), in which the clusters are designed dynamically and
periodically. Proposed work present two secure and efficient data transmission (SET) protocols for
CWSNs, called SET-IBS and SET-IBOOS, by using the identity-based digital signature (IBS) technique
and the identity-based online/offline digital signature (IBOOS) scheme, respectively. In SET-IBS,
network security depends on the use of the Diffie-Hellman problem in the pairing domain. SET-IBOOS
further reduces the computational overhead for protocol security, which is important for WSNs, while its
security depends on the wireless network design. Proposed system show the feasibility of the SET-IBS
and SET-IBOOS protocols with use of security requirements and security analysis against various attacks.
The calculations and simulations are provided to explore the need of the proposed protocols
OFDM with steering sinusoids for under water acoustic communication
Amey Rajendra Kulkarni, Dr. V. V. Dixit
SINHGAD COE, PUNE [023]
ABSTRACT
The underwater channel poses various challenges for the wireless information exchange as it offers
complex communication design. OFDM, being a best viable solution for high rate and efficient
underwater communication scheme, also faces signal degradation problems due to the dynamics nature of
sea. These non-uniform dynamics due to the wind or the platform motion are critical for the acoustic
subcarriers and may cause inter-carrier interference which results distortion of the entire signal. In order
to avoid these erratic distortions, proper tracking of relative change in terms of Doppler factor have to be
incorporated in the design. The communication design must be capable enough to track aquatic variations
and compensate the effects in an efficient way. To achieve this, a novel OFDM approach based on
Steering Sinusoids has been presented which may be able to trace and rectify the fast oceanic variations
incurred with in a symbol length. The Steering Sinusoids are used to check the dynamic effects imposed
by the channel and the recorded variations are further utilized to mitigate the Doppler spread. The
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placement of the appended sinusoids among subcarriers is depended upon the measure of relative motion
and the level of precise tracking must be considered.
Performance comparision of Q-LEACH & GABEEC in WSN
Mayuri Mokale, Dr. A. M. Deshmukh
SINHGAD COE, PUNE [023]
ABSTRACT
This project compares a genetic algorithm based method (GABEEC) and Q-LEACH method to optimize
the lifetime of wireless sensor networks. GABEEC approach the proposed method is a cluster based
approach like LEACH. Genetic algorithm is used to maximize the lifetime of the network by means of
rounds. The method has 2 phases which are Set-up and Steady-state phase. In the set-up phase, the
clusters are created and are not changed throughout the network. In Q-LEACH approach Wireless Sensor
Networks (WSNs) with their dynamic applications gained a tremendous attention of researchers. Constant
monitoring of critical situations attracted researchers to utilize WSNs at vast platforms. The main focus in
WSNs is to enhance network life-time as much as one could, for efficient and optimal utilization of
resources. Different approaches based upon clustering are proposed for optimum functionality. Network
life-time is always related with energy of sensor nodes deployed at remote areas for constant and fault
tolerant monitoring. This project proposes Quadrature-LEACH (Q-LEACH) for homogenous networks
which enhances stability period, network life-time and throughput quiet significantly.
Secure and Efficient routing approach for airborne mesh network with
adaptive channel mechanism
Manjusha Anil Mane, Dr. A. M. Deshmukh
SINHGAD COE, PUNE [023]
ABSTRACT
Existing solutions faces security issues as WMN’s are prone to routing attacks. Contemporary security
standards, such as IEEE 802.11i and IEEE 802.11s mesh standard, are vulnerable to routing attacks. So
that, a secure routing protocol is indispensable for making feasible deployment of UAV-WMN. Here,
presenting the position-aware, secure, and efficient mesh routing approach(PASER). The proposal
prevents more attacks than the IEEE802.11s/i security mechanisms and the well-known, secure routing
protocol ARAN, without making restrictive assumptions. In realistic UAV-WMN scenarios, PASER
achieves similar performance results like, routing protocol HWMP combined with the IEEE 802.11s
security mechanisms. the additional contribution concept is to propose a Channel-aware Reputation
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System with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. The
CRS-A evaluates the data forwarding behaviours of sensor nodes, according to the deviation of the
monitored packet loss and the estimated normal loss. To optimize the detection accuracy of CRS-A,
theoretically deriving the optimal threshold for forwarding evaluation takes place, which is adaptive to the
time varied channel condition and the estimated attack probabilities of compromised nodes.
IOT based Mobile blood bank system
Niraj Rustumrao Chavan, Prof. M. M. Jadhav
SINHGAD COE, PUNE [023]
ABSTRACT
Blood is an integral part of all existing lives. In present scenario, direct interaction of donor and recipient
is lacking. Recipient needs to physically visit donor to get blood. The proposed blood bank system is
designed with Raspberry pi and GPS. This has facilitated centralized mechanism to connect multiple
blood banks. An android application is provided on user mobile system. With the help of this, he or she
can trace the available nearest blood bank in the city. This will ultimately save the life of patient has he
gets blood immediately. The minimum internet speed required at the transmitter to send data is 100KBps.
The pay off needed to implement this concept includes charges for making blood banks available and
charges to use internet.
Monitoring of Toxic Gases and Land Slide Prevention using IOT
Gunjan Shailesh Joshi, Dr. A. M. Deshmukh
SINHGAD COE, PUNE [023]
ABSTRACT
Mining activities release harmful and toxic gases in turn exposing the associated workers into the danger
of survival. This puts a lot of pressure on the mining industry. To increase the productivity and reduce the
cost of mining along with consideration of the safety of workers, an innovative approach is required. A
real time monitoring system using wireless sensor network, which includes multiple sensors. This system
monitors surrounding environmental parameters such as temperature, humidity, multiple toxic gases and
land sliding with the help of two wireless sensors nodes using IOT. This system will display the
parameters on the LCD at the underground section where sensor unit will install as well as on the
monitoring unit; it will be helpful to all miners present inside the mine to save their life before any
casualty occurs. Alarm triggers when sensor values crosses the threshold level. This system also stores all
the data in the computer for future inspection.
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An Ant Colony Optimization based Routing Algorithm in Wireless Sensor
Network for Network Lifetime Enhancement
Amruta G. Wadhai, Prof. S. B. Takale
SINHGAD COE, PUNE [023]
ABSTRACT
Selecting an optimal path in wireless sensor networks (WSNs) is one of the challenging tasks. Many
protocols have been developed for Wireless Sensor Networks to overcome the constraints that
characterize this type of networks. However, these networks have some limitations as well low data rates
and security threats are few to list. Wireless sensor networks (WSN), are also known as Wireless Sensor
and Actuator Networks (WSAN), are spatially distributed autonomous sensors to monitor physical or
environmental conditions like the temperature, sound, humidity etc. Wireless Sensor Networks have
enormous applicability. An Ant based routing protocols can create a significant contribution for the
enhancement of the network life-time, but it is possible only by means of an balanced and adaptable
algorithm which takes Wireless Sensor Networks main restrictions into account. The paper shows another
Wireless Sensor Network routing protocol, which depends on the Ant Colony Optimization metaheuristic,
a higher level procedure. The protocol was studied by simulation for several Wireless Sensor Network
scenarios and the results obtained clearly shows that it is useful in minimizing the communication load
and maximizes energy savings.
An efficient tree based power saving schemes for WSN with mobile sink
Maheshwari Shinde, Prof. M.M.Wankhade
SINHGAD COE, PUNE [023]
ABSTRACT
Energy saving becomes one of the most important features of the sensor notes to extend their lifetime in
WSN. Tree based power saving scheme to reduce the energy consumption in WSN with mobile sink. The
important goal of the scheme is to reduce the data transmission distance of the sensor node by employing
the tree structure based on the location of mobile sim the distance between the sensor node and the energy
of each sensor node. During the recent year many energy efficient rounting protocold have been proposed
for WSN. Energy efficient rounting protocols can be classified into four main schemes network structure,
communication model, topolgy based, reliable rounting. An energy efficient rounting protocol play's a
important role in data transmission to be efficient for WSN the most feature of a rounting protocol is the
energy consumption and the extension of the network life time.
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Enhancing the Energy Efficiency and Power Allocation of Cognitive OFDM
Aishwarya Dilip Ingawale, Prof. S.B Mule
SINHGAD COE, PUNE [023]
ABSTRACT
The proposed system investigates an energy efficiency optimization problem in cognitive orthogonal
frequency division multiplexing (OFDM) systems. The goal is to maximize the energy efficiency by
adapting the sensing duration, detection threshold, and transmit power to the constraints of the energy
consumption of the secondary network and the interference to the primary network in a statistical manner.
Firstly, the case of identical detection threshold for all sub carriers is considered. To circumvent the
intractability of the resulting problem, an alternate iteration framework is proposed to iteratively solve the
three decoupled sub-problems: sensing duration optimization, detection threshold optimization, and
power allocation optimization. By exploiting the characteristics of each sub-problem, the proposed
framework is proved to be convergent. Then, the case with individual detection threshold for each sub
carrier is explored. By proving that the optimal detection threshold is the root of a quadratic equation with
one unknown variable, the proposed framework can be applied with minor modification.
Hybrid Approach of Spectrum-Energy Efficiency Optimization for
Heterogeneous Networks
Mohammed Luay Abdulmunem, Prof. Y. D. Chincholkar
SINHGAD COE, PUNE [023]
ABSTRACT
The 4G methodologies like LTE, LTE-A cellular network has been developed. Such technologies are
considered to improving the network capacity and end user throughput. To improve the profitability,
WANs should use the energy and spectral efficient design. The goal of this project is to present the design
of novel hybrid approach to improving the spectrum and energy efficiency. we presented the optimal
policies by designing the methods of cell size zooming, migration of user and sleep mode for various
types of base stations. The spectrum and energy efficiency problem is formulated as the quasiconvex
optimization and then it is converted into similar form of problem of MILP. The quasiconvex
optimization problem is solved by bisection method and MILP solved by software tools. Finally, we
contributed with third algorithm of improving the spectrum and energy efficiency in this project. The
practical work and simulation of proposed approach conducted using NS2.
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Digital System
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Moving Object Tracking Using Kalman Filter
Gunjal Bhagyashri Ramchandra, Er. Sheetal S. Gundal
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract— There are many Problems are occurring in moving target tracking are being proposed and it is
applied widely currently along with the maturity of computer technology and the fast advancement of
computer vision. In daily life, it is very necessary for tracking the moving object. In Kalman filter is
highly efficient as compare to recursive filter, as well as it is the common video method to track moving
object in video or images.
The moving object is estimation process of location of the moving target. The decomposition is nothing
but tracking video into frames in the initialization period and every frame is made up of a piece of picture;
then next step is the targets in each frame are identified by means of color recognition; next position is the
moving target and to identify the center coordinates and next another last step the coordinate of the
previous and current frames is inputted and find out the location of the moving target which is present
frame. And this frame is estimated by filter.
Now’s day, tracking, detection and identify are very important for different object. The objects are
tracked with the help of Kalman filter. The features of centroid are motion. The motions of moving
objects are tracked in a single fixed camera. This information is obtained by using the detection of the
target. The cost function can be find out the calculation for solve the problems. These are correspondence
to the split. This is finding out after split. So, this algorithm is useful for the validated-on human as well
as also used for the vehicle and any free-falling object such as a ball, image sequence.
Keywords—Object Detection, kalman filter, tracking object.
DWT IDWT Based Barcode modulation method for Verification
Rathod Gajanan Gulabrao, Er. Vilas S. Ubale
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract—There are several wireless data transmission techniques in which barcodes are of great
relevance. In this new approach 2D barcode is forward and its performance is compared to other standard
methods for example exploiting the low-pass characteristic of a camera phone channel and is presented as
a means of facilitating wireless optical communication with mobile phones. In this method, orthogonal
frequency-division multiplexing (OFDM) modulation is used together with differential phase shift keying
(DPSK) over adjacent frequency domain elements. The aim is to study and establish a system that is
proven tolerant to camera movements, picture blur, and light leakage within neighboring pixels of an
LCD,
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Keywords—2D barcode, OFDM, DPSK, LCD.
An Innovative Transient Free Adaptive SVC For Reactive Power
Compensation and PF Correction using ARM Controller
Shinde Kavita Sopan, Er. Shraddha S. Katariya
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract-
In this paper active power factor corrector (active PFC) is use to controls the amount of reactive power
drowns by the load. Active power factor corrector method is used to improve the stability and
transmission efficiency of distribution lines as well as to reduce the power losses. The single phase SCR
based static VAR compensator for reactive power compensation and power factor correction using ARM.
This system specially focuses on not only reduction of reactive power losses but also on active power
factor correction.
Keywords— reactive power, ARM, power factor.
Speech Compression in GNU radio
Mahesh Haridas Chitale, Er. Sheetal S. Gundal
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract—Speech is nothing but a typical way of human interaction and Speech processing is the most
popular growing area of the signal processing. In wavelet,speech compression is important applications.
In general, For human communication audio files need more space for storage. So we need audio
compression of such files and it is a important subject for research. We have worked in several analysis
tools of speech processing, wavelet transform is one of the most modern and interesting tools of speech
processing. Applications of wavelet transform are not only to signal processing, but it is also used in
different fields such as image processing, communications technology, mathematics calculations and
computers. Wavelet transforms, due to their different appearances, we have to be accept that a group of
tools are useful for many applications. In this experiment we are using different wavelets such as Coiflet
wavelet coefficients, Daubechies wavelet coefficients. By using such type of wavelet coefficients we first
decompose the speech signal and then applied brige-massmart technique to make irrelevant wavelet
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coefficients to zero. After this we use run length encoding techniques for encoding the remaining
coefficients. Performance analysis of such experiments can be done by using different term such as Signal
to Noise Ratio, Peak Signal to Noise Ratio, Retained Signal Energy, and Compression Ratio.By using this
experiments we can successfully compress the speech signal and then reconstruct it with good quality of
audio signal.
HSI Classification using of Computational Intelligence
Deshmukh Priya Gulabrao, Er. Vilas S. Ubale
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract:
For the classification of Hyper spectral Image (HSI) image spatial features are extracted. For this features
are extracted with the help of Local Binary Pattern (LBP), then two different fusions are applied like
feature level & decision fusion including Gabor filter. Extreme learning machine (ELM) a type of
classifier is added to get classification output. ELM is much more efficient & faster than Support Vector
Machine (SVM).
Gate Diffusion Input Full Subtractor Circuit using 130nm Technology
Korade Tushar Tukaram, Er. Sandip B. Rahane
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract-
A full subtractor circuit based on Gate Diffusion Input (GDI) technique has been presented in this paper.
The circuit has been realized with lesser transistor count and achieves low power consumption. The
circuit design is performed in 130nm technology and performance is compared with CMOS, transmission
gate (TG) and Complementary Pass Transistor Logic (CPL). The proposed circuit achieves a benifit of 72
%, 63 % and 59 % in terms of semiconductor device count respectively for CMOS, TG and CPL.
Average power consumed is as low as 589.68µW. The circuit exhibits a delay of 100ns. The proposed
GDI substractor design is simulated in a Mentor Graphics EDA tool environment.
Keywords— low power, power delay product, semiconductor device count, GDI technique, high speed.
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Gait Phases In Above Knee Prosthesis using ARM7
Vaishali Bhausaheb Shirsath, Er. Manjusha T. Kanawade
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Abstract : Two gait phase estimation method to control the above knee prosthesis is
discussed in this paper. A rule base quantization and an ANN based system is preferred for controlling
various parameters such as motion, torque required in walking with the help of prosthetic leg.
Microcontroller based semiactive knee prosthesis in order to respond patients demands and adapt
environmental conditions such as whether are considered. A design is suggested to measure experimental
environment in which gait data is collected for both inertial as well as image based measurement systems.
The inertial measurement system consists of MEM accelerometers as well as gyroscopes to identify direct
motion measurement of controlling parameter using microcontroller. The image based measurement
system is used to verify the above measured data from the prosthetic leg. Various advantages of proposed
system is discussed in this paper.
Keywords: MEM; Gait Phase; Prosthesis.
A High Efficient C-less ASK Demodulator with Digital Calibration for
Bioimplantable Devices
Zope Aarti Sunil, Prof. Rashmi Mahajan
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
An all-MOS ASK demodulator with a wide bandwidth for medical applications will be presented. The
chip area will get reduced as the use of passive element is avoided. It is very compact to be integrated in a
system-on-chip for wireless biomedical applications, particularly in biomedical implants. Because of low
area, cost and low power consumption, the design is also easy to integrate in other mobile medical
devices. Modulation index, modulation rate, and power consumption could be improved. The designed
circuit will be implemented with nanometer regime CMOS technology.
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Enhancing security issue in Iot based Smart Retail using Blowfish Algorithm
Kamble Sudhanshu Siddharth, Dr. S. S. Sonavane
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
Now a days internet of thing is widely used in many area, but security of Iot is one one of the most
important factor. If a hacker manages to enter the network, he may access confidential data. So for IoT, a
data transmission security component is fundamental notwithstanding the confirmation system. Starting
with the idea of IoT, its design and security issues, this paper breaks down different security components
for IoT and the importance of cryptography in IoT. An efficient cryptographic algorithm
“Blowfish� is selected based on the literature survey an cryptographic algorithm “Blowfish�
is selected to enhanced the security.
Seamless Vertical Handover of Video in 4G Heterogeneous Wireless Networks
Raut Anand Bharat, Dr. S. M. Koli
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
4G empowers the combination and interworking of every single remote framework. The clients
dependably consider consistent gushing of media over different systems. The proposed method
concentrate on giving "non-ending" video gushing for versatile clients while moving over different
systems, the versatile portable spilling over portable systems gives spilling of video. The spilling deferrals
can be decreased by building private operators utilizing cloud to give versatile video gushing to cell
phones, some calculation like SVC H.264f is utilized to lessen buffering amid gushing and furthermore in
exchanging more than one system to another system. Vertical Handover is done to decrease handoff by
developing MDP based calculations utilizing the QoS parameters, for example, data transmission, delay,
jitter, bit mistake rate and cost.
Simulation and performance evaluation of AODV Protocol with QoS using
Network Simulator 3( NS3 ).
Chavan Madhavi Mohan, Prof. N A Dawande
D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]
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ABSTRACT
Abstract - The Ad hoc mobile networking is a current active research area. It is type of adhoc network in
which nodes are mobile and connected with each other via wireless connection. Mobile Adhoc Network
in which every node share data with another node without using fixed infrastructure. So it is
infrastructure-less and self configuring network. But it is very difficult to maintain all the devices over the
Network. There are so many protocols which are being developed for maintaining the devices over the
Network. In this research we evaluate performance of one routing protocols AODV(Ad hoc On-Demand
Distance Vector Routing).They can be used in agriculture for monitoring and control of environmental
parameters in the form of wireless sensor networks. The aim of that paper is achievement evaluation of
protocol of these Ad hoc networks that is QoS-enabled AODV protocol. The performance evaluation is
completed by means of its distinguish with normal AODV protocol. QoS stands for the Quality of
Service. That paper proposed some enhancements to the AODV protocol to through or consist QoS by the
adding extensions to Route Discovery messages, related to bandwidth estimation. This paper focused on
three of the parameters namely Speed of nodes, Traffic Rate & Pause Time of mobile nodes. For
evaluation purpose the performance metrics used are Throughput, Bandwidth, Average end-to end Delay,
Packet Delivery Ratio (PDR), Normalized Overhead Load (NOL). The simulation is performed through
the simulation tool NS-3(Network Simulator- 3) due to its open source simplicity and free availability.
flight simulation using matlab
Shrikant Adinath Narute, Monali Chinchmalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Flight simulation is kind of the technique of virtual reality. Flight simulation can be used for training
either civilian or military pilots without using any real aircrafts but sophisticated computer system - Flight
simulation.
Some Studies on Image Resolution Enhancement and Quality Assessment
Pallavi Dilip Sawant, Prof. Mrs. H. H. Kulkarni
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Image resolution enhancement is to process a given input low resolution image to improve its resolution.
There are several image processing applications which require high resolution images for processing and
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analysis. Interpolation is one of the commonly used method for image resolution enhancement.
Interpolation has been widely used in many image processing applications such as facial reconstruction,
in medical field, multiple descriptions coding. In this paper, scheme of super resolution is used to
reconstruct high resolution images from low resolution images using different interpolation
techniques.Quality assessment parameters like PSNR, Mean, Variance, Entropy and Standard deviation
are calculated to assess the quality.
Handwritten Character Recognition using OCR and Writer Identification
Shweta Anant Shevgekar, Prof. Mrs. M. S. Deole
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Handwritten character recognition is a demanding task in the image processing because handwriting style
varies from writer to writer. Recognition of handwritten characters using a scanned document, or direct
image using various Mat lab toolboxes like image processing to process the scanned or acquired image.
Here from OCR we can get characters recognition. Many feature-based algorithms are well-suited for
feature extraction like like SIFT, Language Independent Text-Line Extraction, ORB (oriented fast &
rotated brief), SURF. But Oriented FAST and Rotated BRIEF (ORB) is a very speedy binary descriptor
which is faster than Scale-invariant feature transform (SIFT), it can be verified through experiments. And
it gives best performance and reasonable cost. Scale invariant feature transform (SIFT) is very useful for
feature extraction but it is computationally difficult due to its weighty workload required in local feature
extraction and matching operation. Therefore for best performance and less complexity, ORB is the best
solution. Recently there is a growing trend among worldwide researchers to recognize handwritten
characters of many languages and scripts. As the work on Indian scripts is in initial phase Marathi
language is used for recognition and identification.
Implementation of Digital Current Sensorless Control for dual boost half
bridge PFC converter with natural capacitor voltage balancing
Charushila Kashinath Gangurde, Prof. S. P. Agnihotri
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
The Power Factor Correction (PFC) converters of bridgeless category are often used to improve the
efficiency of the conventional boost-type power factor correction (PFC) converters with the diode bridge
circuit. The short circuit problems are not occurred due to non inability of series connected switches for
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improving PFC Dual boost Half-bridge circuit is used. The DBHB PFC converter model is developed in
added to simplified the conventional two loop Control scheme and reduce the number of current sensors.
Then, the current Sensor-less control for DBHB PFC converter is proposed to achieve voltage regulation
and yield sinusoidal input current in phase with the input voltage without sensing any current. In addition,
the proposed method is able to balance capacitor voltages naturally without adding any voltage balancing
control loop. The above maintain method we proposed for observing the performance of the DBHB PFC
planning to design in Matlab / Simulation and planning for experimental setup.
Speech Recognition Using PNCC
Prachi P. Dani, Prof. Mrs. M. S. Deole
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
There are several approaches of feature extraction algorithms in speech recognition, e.g. Mel frequency
cepstral coefficients (MFCC) [1], perceptual linear prediction (PLP) [2] and power-normalized cepstral
coefficients (PNCC) [3]. PNCC a new feature extraction algorithm based on auditory processing is
described in this paper. The new features of PNCC processing include the use of a power-law nonlinearity
that has been replaced by the traditional log nonlinearity used in MFCC coefficients. There is use of
medium-time power analysis, in which environmental parameters are estimated over a longer duration
than is commonly used for speech, as well as frequency smoothing. PNCC is basically used for the
improvement in recognition accuracy in noisy conditions. Paper shows the recognition accuracy using
MFCC and Features extracted using PNCC.
Some studies on Removal of Rain Streaks from Images
Holkar Pooja Sanjat, Prof. Mrs. H. H. Kulkarni
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Rain streaks removal falls into the category of image noise reduction. It is one of the types of bad weather
condition and it decreases the quality as well as the performance of outdoor vision system. Hence removal
of rain streaks from any image and quality assessment of rain removed image is mandatory task. There
are two sub-problems in rain image recovery i.e. how to identify rain in images and how to remove visual
effects caused by rain from images. In this paper detection and removal of rain streaks in an image is done
by image decomposition technique which depends on Morphological Component Analysis (MCA) by
performing dictionary learning and sparse coding. Before applying the rainy image to a conventional
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Image decomposition technique, the proposed method uses bilateral filter to reduce universal noise. After
removing rain, quality assessment of rain removed image is performed. After measuring quality, Rain
removed image is again passes through circular averaging filter to improve its quality metrics. After
expulsion of rain streaks we can easily identify features in the image.
Adaptive Estimation of Three Phase Grid Voltage Parameters under
Unbalanced Faults and Harmonic Disturbances
Abhaya N. Pande, Prof.Dr.Mrs.A.P.Khedkar
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
The aspect of power quality issues has become serious with more and more penetration of renewable
sources i.e. (weak grid) with the conventional utility grid i.e. (stiff grid). At PCC (Point of common
coupling) it has become mandatory to provide an adaptive scheme as comprehensive solution to address
control, protection and power quality issues. It is closed loop feedback method to estimate three-phase
grid voltage signal. Here a unified control strategy is presented that enables both islanded and grid-tied
operations of three-phase inverter in distributed generation.The three-phase grid voltage signal is treated
as a solution of a parameterized dynamic system involving the unknown parameters the fundamental and
harmonic frequencies.The proposed control strategy consists of an inner inductor current loop,and a novel
voltage loop in the synchronous reference frame. The three-phase inverter would be regulated as a current
sourcevia the inner inductor current loop in grid-tied mode, and the voltage controller is activated
automatically to regulate and control the load voltage once the islanding is occurred. This control strategy
is validated by simulation results carried out in MATLAB for grid connected and islanding mode and the
results for improved power quality including three phase fault creation element will be completed.Further
the system will be tested against faults to maintain grid stability.
Indian Leaf Recognition Using PHOG and COA-LBP features
Navale Sonali Balasaheb, Prof.Dr.H.Y.Patil
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Leaf can be characterized by its color, texture, vein
structure, and shape. The type of the vein is an important
morphological characteristic of the leaf. Plants can be seen in
many places, including roads, mountain paths, and fields, which
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have many different kinds where recognizing them can be useful
in various applications. In this paper, a feature level fusion
scheme is proposed using PHOG and COA-LBP features. It
yields 80.95% rank one recognition rate on Indian leaf database.
Keypoint Level Fusion Scheme For Traffic Sign Detection
Mogare Savita B., Prof.Dr.H.Y.Patil
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Automatic traffic sign detection is a challenging
research area which attracts many researchers. It is helpful to
the community in terms of machine assisted driving, sign
maintenance applications etc. This paper presents a keypoint
fusion approach for traffic point detection using Gabor filter
bank and BRISK keypoint features. After experimentation on
publically available databases it is evident that the proposed
descriptor works effectively for traffic sign detection.
Design of Dual Band Circular Microstrip Patch Antenna For RFID
Application
Swapnali Dattatray Hingmire, Prof.M.P.Joshi
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
In this paper, A dual band circular microstrip patch antenna (CMPA) ,with coaxial probe feeding,is
proposed. The proposed antenna operates in the frequencies of ISM (Industrial, scientific and medical),
0.92-2.45 GHz bands to satisfy the RFID applications. Proposed antenna is fabricated on a double-layered
printed circuit board (PCB). The antenna is fabricated on FR4 substrate with size of 100mm × 100mm
× 1.6mm.The proposed antenna is simulated using the method of moment's software CAD FEKO.
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Abandoned Object Detection In Surveillance Videos
Mahale Mandakini Ashok, Prof.Mrs.H.H.Kulkarni
GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]
ABSTRACT
Abandoned object detection is an effective approach for detecting abandoned luggage in surveillance
videos. The short- and long-term background models are combined to extract foreground objects.
Subsequently, a framework is introduced to identify static foreground regions based on the temporal
transition of code patterns, and to determine whether the candidate regions contain abandoned objects by
analyzing the back-traced trajectories of luggage owners. In back trajectory by using kalman filter to
improve accuracy of system. The experimental results obtained based on video frames by capturing in
real time and also using surveillance databases shows that the proposed approach is effective for detecting
abandoned luggage.
Development of Methodology For Tracking Human Motion in Video
Surveillance System
Rajshree Balasaheb Lande, Prof.R.M.Mulajkar
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
The project presents tracking of human motion in video surveillance system using background subtraction
algorithm and bounding box concept. In computer vision system object can be detected by separating
foreground object which is moving from background object. The main goal of this paper is to design a
bounding box concept for the human detection system in the presence of crowd. Each moving object is
detected by creating bounding box around it.Using bounding box we can detect crowd and estimation of
crowd. For object edge smoothness image processing morphological operations such as erosion and
dilation will be used.This system requires less processing time and better accuracy than other existing
systems according to the simulated result.
Finger Knuckle base identification of person
Arti B.Waghode, Prof.C.A.Manjare
JSPM COE, PUNE [040]
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ABSTRACT
Finger Knuckle recognition system and finger back surface is one of the recent biometric methods used to
identify people. The finger knuckle print is highly rich in textures and can be used to identify a person.
In this paper we propose finger knuckle based biometric person identification using subspace methods
such as Gabor filter, PCA and LDA. These methods firstly capture the test image and then crop the
image. The cropped images are changed to black and white image, then preprocessing with gabor filter to
enhance the FKP image. After using gabor filter, feature extraction is employed by using PCA. The
features of test image and train image are compared by using LDA and knn classifier. Then the output
will be displayed the identification of known user else unknown user. Comparatively it improves the
efficiency and accuracy of the Finger Knuckle recognition technique.
Image Stitching Based On Corner Detection
Mind Poonam Dattatray, Prof. P P Gumaste
JSPM COE, PUNE [040]
ABSTRACT
Panoramic image mosaic is a technology which matches the series of images of same scene which are
integrated with each other. Panoramic image mosaics can be used for the different type of applications.
Image mosaic has important values in various applications such as photogrammetry, computer vision,
remote sensing in image processing, analysis of the medical image and computer graphics.
Image mosaics also can be used in moving object detection with a dynamic camera. After getting the
panoramic background of the video for detection, then first compare every frame in the video with the
panoramic background, and finally detect the moving object.
An Automatic Detection of Landing sites for emergency Landing of Aircraft
Supriya Laxman Thorat, Dr.S.B Mohite
JSPM COE, PUNE [040]
ABSTRACT
An automatic computer-aided detection (CAD) system is proposed to assist aircraft pilots to find safe
emergency landing sites where no runway is available. Conventionally, pilots are trained to identify safe
landing sites by looking to the ground with raw eyes. But human vision can be significantly affected by
weather conditions. Also the crucial decision greatly depends on the pilot’s flight experience. In addition;
the pilot will be under the huge pressure in such extremely urgent situations. Time is another vital factor
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of the survival of passengers and the pilot himself. Therefore, a robust, reliable and efficient algorithm of
selecting candidate landing sites is strongly desired. By applying image processing and analysis
techniques we proposed an automatic CAD system and preliminary results show the feasibility of the
proposed algorithm. An efficient process for emergency landing site selection is greatly desirable in order
to compensate for the natural inadequacies of human vision
Musical Instrument Classification Using MIR Toolbox
Patil Ashwini Ramesh, Prof V.M. Sardar
JSPM COE, PUNE [040]
ABSTRACT
Everyone listening music, is in this music contains the various sound of instrument, this sound is classify
using Mir toolbox, which is music information retrieval toolbox. In this paper we propose Mir toolbox
based classification of musical instrument, we build a system that will listen to musical sound and identify
which instrument is being played using Mir toolbox. In This instrument classification can be done on the
basis of feature extraction process. This system use manymethod toextract the audio feature ex. Timber,
Tonality, Rhythm, Pitch, Energy,etc. in the MIR toolbox. This feature extraction value is evaluated using
KNN and C4.5 decision trees classifier. System will classified which instrument is being played using
classifier and feature extraction process and identification result will be displayed on GUI
Experiment of Enhancement of Efficiency of Solar cell to Drive Load
Pooja Ramdas Tandale, Dr.S.B Mohite
JSPM COE, PUNE [040]
ABSTRACT
The main purpose of this new project is to introduce andesign of Enhancement of efficiency of solar cell
to drive load. In that we use optic lenses such as parabolic lenses or simple mirror to enhance the
efficiency of solar cell. With enhancement we use the boost converter to generate regular output voltage.
After generation of regular output voltage we store that energy using battery of input 12V. Output of
battery is DC voltage, to drive AC load we use inverter for DC-AC volt converter. Inverter produces AC
output voltage by using that we drive AC load. Experimental works were carried out with the designed
boost conversion software which has an electric power rating of 40 Watt and 12 V outcome voltage
operated in constant conduction mode at 20 kHz switching frequency. The test results show that the
proposed design displays a good performance.
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5827
Bokil Geeta Anil, Design Of Robust Active Suspension Systems
JSPM COE, PUNE [040]
ABSTRACT
In this paper an active two suspension systems are designed. In first design using inertial delay control
(IDC) is used for estimating the effect of uncertainties in suspension parameters, sprung mass variation
and unknown road profile and the second design same
is estimated by Disturbance Observer (DO). The proposed controls are designed with the objective of
improving the ride comfort without having to use sensors for measuring the road profile or sensing the
displacement and velocity of the unsprung mass. The designs are validated by simulation for two road
profiles and the performance is compared with passive suspension systems.
Seed Quality Analysis Using Image Processing and Artificial Neural Network
Shivpriya Ram Desai, Dr. A. P. Rao
JSPM COE, PUNE [040]
ABSTRACT
Good quality seed is important for the satisfactory production of a good quality crop and is essential for
export markets. Quality control is very important in food industry, based on quality parameters food
products are classified and graded into different grades. Grain quality evaluation is done manually but it is
relative, time consuming, may be varying results and costly. Digital image processing can be used for
quality evaluation and grading of agriculture food in industry. One of the major step in quality assessment
of grains is grading of grains, which normally accomplished either manually or using expensive
commercial equipments. We propose a simple method based on image processing and using ANN for
grading of rice granules Here grading will be performed by calculating rice seed major axis length ,minor
axis length, area ,eccentricity and perimeter. This method requires minimum time , it is low in cost and
we get accurate result.
Performance analysis of underwater image enhancement techniques
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Pallavi N. Nawale, Prof. Pange S M
JSPM COE, PUNE [040]
ABSTRACT
There are two major sources of distortion namely Light scattering and color change for underwater
photography. Light scattering is caused by light incident on objects reflected and deflected several times
by particles present under the water before reaching the camera. This degrades the visibility and contrast
of the image captured. Color change depends on varying degrees of attenuation encountered by light
traveling in the water with different wavelengths, underwater environments dominated by a bluish tone.
No existing underwater processing techniques can handle light scattering and color change distortions
suffered by underwater images, and the possible presence of artificial lighting simultaneously. This paper
proposes a novel systematic approach to enhance underwater images by a dehazing algorithm, to
compensate the attenuation discrepancy along the propagation path, and to take the influence of the
possible presence of an artificial light source into consideration. Once the depth map,i.e., distances
between the objects and the camera, is estimated, the foreground and background within a scene are
segmented. Based on the amount of attenuation corresponding to each light wavelength, color change
compensation is conducted to restore color balance. The performance of the proposed algorithm for
wavelength compensation and image dehazing (WCID) is evaluated both objectively and subjectively by
utilizing ground-truth color patches and video downloaded from the YouTube website. Both results
demonstrate that images with significantly enhanced visibility and superior color fidelity are obtained by
the WCID proposed.
Texture analysis of Brain tumor in digitized MRI using Gleason and
Menhinick Diversity Indexes
Shradha Suresh Chavan, Prof. P.P. Gumaste
JSPM COE, PUNE [040]
ABSTRACT
Tumor is swelling of the body part, due to this abnormal growth of cells in that place of the body. If it is
in brain called brain tumor brain tumor diagnosed by the magnetic resonance imaging (MRI). In the prose
methodology firstly detect and extract tumor using watershed segmentation ,For texture analysis to
describe features of Brain tumor , to increase the efficiency of texture feature extraction, the diversity
index’s capability to detect patterns of tumor . For this purpose, the Gleason and Menhinick indexes are
used. Finally, the extracted texture is classified using the Support Vector Machine, looking to differentiate
the malignant and benign class of tumor .
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Automatic Cradle System for Infant care
Vedant Krishna Sambhar, Prof. M. B. Tadwalkar
JSPM COE, PUNE [040]
ABSTRACT
Some sensors can apperceive the movement of baby and other information such as baby cry. The
algorithm can be applied for adjusting the bassinet extent. There is a need to develop a new low cost
indigenous electronic cradle because the existing cradles are imported and costly. The speed of the cradle
can be controlled. This system helps parents and nurses to take care of babies without physical attention.
Now-a -days we see both the husband and the wife are working .So it becomes quite difficult to take care
of their infant. It may lead to improper attention towards her infant. It is found that when the baby is in
cradle he feels comfortable. The system designed, helps the mother in giving fair attention towards her
child along with managing of other household activities. This system is also beneficial for the babies as
we have used fluid sensor which helps to avoid diseases.
Visible Light Communication for Visually Impaired people using sustainable
LEDs
Pradnya P Kulkarni, Prof M. B. Tadwalkar
JSPM COE, PUNE [040]
ABSTRACT
We developed navigation system prototype for the visually impaired using LED lights. Where LED lights
emit visible light with location data and a smartphone or blind person’s stick with a visible light receiver
receives the data. The controller with receiver calculates the optimal path to a designation and speaks to
the visually impaired through a headphone or turns stick left or right with the help of motor. The
prototype is able to navigate the visually impaired users fairly well with speech guidance. We believe that
the application of visible light communication belongs to location-based services and new graphical user
interfaces that combine visual imagery with visible light communication. For this application, users are
able to know the information associated with a transmitter. If a transmitter is attached to a building or a
fixed place, location information will be obtained. Indoor navigation is convenient for everyone,
especially useful for visually impaired
Hydroponics Farming
Rahul Dilip Nalwade, Prof. T.S.Mote
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JSPM COE, PUNE [040]
ABSTRACT
The present agricultural system is a mix of outstanding achievements and missed opportunities in India. If
India want to become powerful economically in the world, our agricultural productivity should be equal
to those countries, which are currently rated as economic power of the world. We need a new and
emerging technology which can improve continuously the productivity, profitability, quality of our major
farming systems. One such technology used in India is the greenhouse technology. Although it is
centuries old, it is new to India.
In India, dependence on agricultural productivity and geographical conditions contribute majors to
underdevelopment and poverty. These can be achieved by alternative new and latest technology of
farming such as hydroponics. The goal of this project is to design and construct a hydroponic system
which is fully automatic that can be integrated into the agricultural curriculum while introducing business
skills.
Raspberry Pi Based Industrial Process Monitoring and Detection of Defects in
Industrial Pipe Using Image Processing
Gharge Aditi Rajendra, Prof. Varsha Lembhe
JSPM COE, PUNE [040]
ABSTRACT
This paper proposes an effective algorithm for detecting and classifying defects which are presents in
industrial pipe. Presence of holes and cracks in pipe are an important indicator in manufacturing process
to avoid environmental destruction and high cost. Because of the small diameter of pipes, human cannot
examine these pipes directly. Therefore to overcome these problems an algorithm has been introduced to
detect the defects in industrial pipes. The proposed algorithm can identify defects from background and
the types of defects present in pipe can be distinguished in the estimation stage.
This paper also focuses on monitoring various parameters like temperature, water level, and light
intensity. Our system is designed with different sensors and raspberry pi. The design includes interfacing
of various sensors with PIC controller and LCD display. The gathered information will displays on LCD.
Thus our system is designed for multiple input and output arrangements for industrial applications.
No reference quality assessment of stereoscopic 3D image using histogram
shape analysis.
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Priyanka Ashok Khairnar, Prof.S.M.Hambarde
JSPM COE, PUNE [040]
ABSTRACT
Multiview videos plus depth(MVD) is a popular 3D representation. The 2D quality metric are not suitable
for MVD. In this paper we are work on depth quality assessment of stereoscopic 3D image which is some
modification of 2D image and present the novel algorithm to determine the distortion present in depth
videos induced by compression. Stereoscopic 3D is an attempt to reproduce the process by which we see
with our eyes in order to produce a feeling of depth. The proposed method is based solely on the
statistical analysis of the compression sensitive pixels of depth images. The experimental result is the
‘Blind depth quality metric’ (BDQM), a no-reference algorithm to assess the quality of compressed
depth images
Smart Watering System for home garden
Sheetal N. Kabra, Prof.C.A. Manjare
JSPM COE, PUNE [040]
ABSTRACT
Internet of things (IoT) uses local low power wireless connection and high power internet connections to
connect billions of things. Among many low power wireless technologies Bluetooth low energy (BLE),
which consumes less power supports communication between devices very well in local personal area
network. This paper suggests home automation application where BLE can be used. Previously BLE is
used in health applications and in vehicles infotainment system, automated industries. In this paper smart
watering system using Bluetooth low energy (BLE) is proposed. This system is solution for household
chores. BLE has been proved to be best because to its low cost, low power, fast connection and
interoperability features.
Data Loss Prevention In Congestion Prone Wireless Sensor Network Using
VCLR model
Poonam Shinde, Prof.V.M. Sardar
JSPM COE, PUNE [040]
ABSTRACT
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In wireless sensor networks data, which get generated is not always same, some data may be important
than others and having different priorities. As deployment size and data rates grow, congestion becomes
major problem in these network. The congestion results in arbitrary dropping of data packets that reduce
the overall network throughput. In wireless sensor network when several sensor detect an event within the
cluster at this time their aim is to transmit this collected information towards the sink node via cluster
head periodically. As the cluster head is the intermediate node between sensor node and sink node. The
congestion may occur at cluster head and this leads to packet drop (Data loss) also affects the reliability of
the network. In this paper with the help of virtual cluster loss recovery model we can increase the loss
recovery ratio and enhance the reliability of wireless sensor network
Depth based Hand Gesture regognition
Patil Chetana Balasaheb, R R Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Hand Gesture recognition for Indian sign languages. The gesture recognition basically is designed for
human machine interaction. The system consists of components such as pre-processors, feature
extraction& recognition for static gesture recognition. In the first component background subtraction&
detection of hand is obtained. Depth camera is used to extract the hand gesture recognition. In second
component features such as contour & convex are computed & gesture is recognized for sign languages
identifiably. The features of hand are extracted and the static hand posture is classified using the support
vector machine (SVM). The result of convexity shows that there white regions which the convex hull
comprises but not contained in the contour. These areas are the defects relative to the outers. The
beginning point & end point are the points on the hull where the defect begins & ends. The distant point
indicates the point on the defect which is the at longer distance from the edge of the hull. The depth of
defect is the distance between long distance point & edge of the hull. Otherwise, the beginning and the
end point are used to determine the fingertips positions. The marks of fingertips are then used for hand
posture differentiation and gesture recognition.
Implementing image compression using tranform based approach
Limaye Mugdha Vyanktesh, Dr.A.N.Paithane
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Nowadays there is an increased need to store images
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in all the fields such as medicine, engineering, industries.Mostly
techniques like wavelet and discrete cosine transform have been
implemented. Wavelet transform has increased the compression
rate. Increasing the compression rate with other parameters by
minimizing the amount of image data in the medical images is a
critical task. . Several techniques have been developed for lossy
and lossless image compression, several techniques were
developed. Image edges have limitations in capturing them if we
make use 1-D wavelet transform simultaneously in 2 dimensions.
This is because wavelet transform cannot effectively represent
straight line discontinuities and be reconstructed in a proper
manner like that of curvelet transform . The Curvelet Transform
is more suitable for compressing medical images, which has more
curved portions. Fast discrete curvelet transform is implemented
is used that is implemented using stationary wavelet transform.
The proposed method is tested on various medical images and the
result shows better performance parameters like Peak Signal to
Noise Ratio (PSNR) and Compression Ratio (CR) and Mean
Square Error.
Music Mood Detection and tracking of music audio signals
Chawda Ankita, Dr.D.G.Bhalke
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Music is defined in terms of tones, rhythms and harmonic vibrations. Music helps
shiftperspective, to see things differently. It can induce emotions such as hope, courage, fear, joy
etc.Music mood recognition helps extract these emotions from music audio data. It is helpful inmusic
understanding, music retrieval, and numerous other music-related applications. Here,music is
expressed in form of a mathematical language which allows us to model differentemotions either in
form of moods or in terms of dimensions thereby identifying the emotionsassociated with any given
music. In this paper the dimensional approach is used to studyemotions in terms of arousal
(how exciting or calming) and valence (how positive or negative) ofthe music sample. A framework is
presented to automate the task of emotion recognition fromacoustic music data using features such as
pitch, rhythm, timbre, intensity, harmony etc.Training of model for emotion recognition is done using
music database taken from the ACM1000 song dataset which has annotated music clips with their arousal
and valence values to avery fine granularity. For identifying the these dimensions each music clip is first
processed anddivided into fine grained frames and then their acoustic features are extracted.
An SVRregression model is trained based on the extracted features for approximately 600
songs.Furthermore, since mood is usually changeable as time progresses, we also discuss the approachto
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continuous tracking of such emotions for a music piece.We also discuss how global features can help
improve the accuracy of frame level emotions. Weintroduce several novel ideas to improve the accuracy
of music emotion recognition. Finallydetailed experimental results are presented to demonstrate the
findings.
Robust Part-based Hand Gesture Recognition using Fingure-Earth Mover's
Distance
Ashwini Ashish Kolhe, Prof. R. R. Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Hand gesture recognition is of great importance for human-computer interaction (HCI), because of its
extensive applications in virtual reality, sign language recognition, and computer games. Also hand
gesture recognition for real-life applications is very challenging because of its requirements on the
robustness, accuracy and efficiency. Despite lots of previous work, traditional vision-based hand gesture
recognition methods are still far from satisfactory for real-life applications. Because of the nature of
optical sensing, the quality of the captured images is sensitive to lighting conditions and cluttered
backgrounds, thus optical sensor based methods are usually unable to detect and track the hands robustly,
which largely affects the performance of hand gesture recognition. To enable a more robust hand gesture
recognition, one effective way is to use other sensors to capture the hand gesture and motion, e.g., through
the data glove. Unlike optical sensors, such sensors are usually more reliable and are not affected by
lighting conditions or cluttered backgrounds. However, as it requires the user to wear a data glove and
sometimes requires calibration, it is inconvenient to use and may hinder the natural articulation of hand
gesture. Also, such data gloves are usually more expensive than optical sensors, e.g., cameras. As a result,
Compared to the entire human body, the hand is a smaller object with more complex articulations and
more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand
gestures. This work focuses on building a robust part-based hand gesture recognition system using
camera. To handle the noisy hand shapes obtained from the camera, we propose a novel distance metric,
Finger-Earth Mover’s Distance (FEMD), to measure the dissimilarity between hand shapes. As it only
matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight
differences.
Automatic measurement of joint space narrowing and erosion in Rheumatoid
arthritis patient
Gadhave Sunita Nilesh, Prof. S. A. Bhisikar
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JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Rheumatoid arthritis (RA) is a chronic disease that leads to a degradation of cartilage and toerosive
destructions (erosions) of the bone. The disease is progressive and results in pain,stiffness,
and swelling of joints, which show deformity and alkalosis in the late stages of thedisease and can occur
in the majority of people aged around 65. Manual scoring methods aredepends upon the expertise person
and has high variability, less accuracy.In this paper an automatic joint space width measurement
is proposed using digital imageprocessing techniques. For the removal of noise and image
enhancement we used Gaussianfiltering. Initial joint locations are obtained by Local Linear Mapping
based on texture features.Thinning algorithm is used for getting axis of finger bones and Active Shape
Model is used toget shape of bone. Joint space width is measured between two bones. The Active Shape
Model isused to get erosion of bone. The erosion of bone contour classify into classes pre-erosion,
erosionand non-erosion. Template matching/ Neural Network Classifier is used to classify
therheumatoid arthritis and non-rheumatoid arthritis person
Gesture to Speech Conversion For Recognition of Indian Sign Language.
Shubhangi Gajanan Shinde, Prof. R. R. Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Human computer interaction plays vital role in daily life and in automation industry and we are always
looking for more convenient ways of interaction to transfer data to the machines or commanding them
faster and easier. This work presents real time Hand Posture Recognition Using K-NN and Support
Vector Machine Classifiers consists of three major steps: image preprocessing, feature extraction and
gesture classification. Noise is removed using, morphological closing operation with Gaussian filtering
and background Subtraction by Histogram. Feature extraction consists of normalization and scaling. For
the classification KNN and SVM with linear and nonlinear kernel function is used and performance
analysis of classification algorithm is carried out on the basis of cross validation accuracy. The system is
implemented with a dataset of 500 images of 10 different hand postures which are 10 non-motion-based
Indian Sign Language
Two level QR code
Dipti Suresh Sawarkar, Prof.C.V.Rane
JSPM'S R. SHAHU COLLEGE [037]
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ABSTRACT
QR codes are similar to two dimensional barcodes but having userfriendly appearance .In proposed
system we are going to implement the concept ofQR images, in which we can hide the secrete message
into image and the image isthen encoded with QR codes so that it will be difficult for third
person tounderstand that secret information. We are going to encrypt the numeric
andalphanumeric characters in the QR code. In the proposed method we are going touse the 2 levels or
new rich QR code to carry the secret message mainly to increasethe information security, storage capacity
and high-speed reading applications. The2 level QR codes will have two storage levels, known as Public
level and PrivateLevel. In normal QR codes, the information encoded is always accessible
thoughit is ciphered text and also is very difficult to distinguish between the original andthe copy of the
document. To overcome these disadvantages, 2 level QR codesmainly called as new rich QR codes has
been introduced which will be having thetwo levels. The first level i.e. public level is same as the
standard QR code which isaccessible to any QR code reader and that’s why it has the characteristics of
the QRcodes. In the second level i.e. private level, the black modules are replaced by thetextured pattern
that’s why it invisible to standard QR code reader. This leads toimprove the error correction capability as
it is encoded with q-ary code and can beused for private message sharing and for document
authentication. As application perspective, 2LQR code can be suggested as private
messagesharing scenario and authentication scenario. Private message sharing has to followthe rule of
invisible storage and private message transmission into QR code. Inauthentication scenario, the main aim
to verify if the document is original or a copyand the authentication has to be given only to the original
document
Automatic Emergency safe landing site detection system
Ajinkya Kadam, Prof. P.M Ghate
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
An automatic emergency safe landing site detection system is proposed for aircraft emergency landing
based on visible information acquired by aircraft monted camers. Emergency landing is an unplanned
event in response to emergency situations. The top negative leading factors of unplanned landing which is
also called as emergency landing are engine failure, running out of fuel etc.So finding a safe landing site
is critical to the survival of passengers and crew.The pilot chooses the landing site visually by looking at
the terrain through the cockpit but environment factors like fog rain may give some problem to this
mannual method used by pilot.In addition visual anagle is limited for human eye. Considering all above
factors this Automatic emergency safe landing site detection system is inroduced which will take
paneroma images and do image processing which will provide different options for safe landing sites and
pilot can choose any site from them which are having less problems and suitable and clean as per images
provided by system.
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RFID based ID detection for Library system
Patil Aarti Bhinakrao, Prof.P.M.Ghate
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
There has been rising demand for secure system. This paper describes the RFID based ID detection for
Library system .In the long-ago the barcode’s are more preferable as compared to RFID because of their
cost but now a day’s RFID are easily available and are more convenient to use. Here we use the Lpc2148
for interfacing and decoding .these makes the circuit and programming a lot easier to understand. We
exhibit the outline and usage of a framework get to control utilizing radio frequency identification proof
(RFID) controlled by Lpc2148 stage. The proposed framework consists the RFID reader, RFID tag
(distinguishing proof cards), microcontroller Arm7 LPC2148, and graphical UI (GUI) executed in
Matlab®. Through a GUI, it is conceivable to take control of access to the building and check the
help.if tag is matched to stored database then it access, otherwise it denied. Utilizing distinguishing proof
cards, the Students can get to data of approved individual
2D to 3D Image and Video Conversion Methods
Shital Uttam Gaikwad, Prof. R. R. Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
In this modern era 3D hardware popularity is increased but, 3D contents are still dominated by its 2D
counterpart. Until now many researchers have proposed different methods to close this gap. Mainly, these
conversion methods are categorized in an automatic method and semi-automatic method. In an automatic
method human intervention is not involved, where as in semi-automatic method human operator is
involved. There are distinct attributes that can be considered during conversion, like for video conversion
motion is mostly considered parameter; while for image conversion local attributes of images were
considered. The stored images in database with depth images are paired using k nearest-neighbor (kNN)
search algorithm k image + depth pairs that are matched with 2D query left image are searched. By using
Euclidean norm of the difference between histograms of oriented gradients. Median filtering is used for
depth fusion of k images is generated. So this method is a simplified and computational efficient data-
driven 2D-to-3D conversion method and has insured its performance against state-of-the-art Make3D
algorithm.
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“Feature Selection For Hidden Markov Models―
Shinde Priyanka, P. M. Ghate
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Language is man's most important means of communication and speech its primary medium. Speech
provides an international forum for communication among researchers in the disciplines that contribute to
our understanding of the production, perception, processing, learning and use. Spoken interaction both
between human interlocutors and between humans and machines is inescapably embedded in the laws and
conditions of Communication, which comprise the encoding and decoding of meaning as well as the mere
transmission of messages over an acoustical channel. Here we deal with this interaction between the man
and machine through synthesis and recognition applications. These two taken together allow computers to
work with spoken language. In speech recognition; database creation (training) and recognition processes
are involved. Database creation describes the collection of speaker’s voice samples and extraction of
features for selected words. Recognition is a process to identify the spoken word by comparing current
voice features to pre stored features of voice. In real time, the recognition first it finds the likelihood of
the unknown spoken word to the pre stored database of known words and then it make decision of word
with the selection of maximum likelihood word. The goal of speech recognition is to determine which
speech is present based on spoken information. The system uses MFCC for feature extraction and HMM
for pattern training. The success of MFCC is, it is robust and cost-effective computation. HMM provides
a highly reliable way of recognizing speech. The purpose of this project is to study feature selection and
parameter estimation algorithm for HMM. A feature selection algorithm is presented for hidden Markov
models (HMMs). New parameters, feature saliencies, are introduced to the model and used to select
features that distinguish between states. An expectation maximization algorithm is used to calculate
maximum a posteriori estimates for model parameters. An exponential prior on the feature saliencies is
compared with a beta prior. These priors can be used to include cost in the model estimation and feature
selection process. The literature on feature selection specifically for HMMs is sparse. This project fills a
gap in the literature concerning simultaneous feature selection and parameter estimation for HMMs using
the EM algorithm and introduces the notion of selecting features with respect to cost for HMMs.
Environmental quality monitoring system by using sensor array
Deshmukh Kaustubh Satish, Prof. S. P. Deshmukh
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
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For most couple of years, recent difficulties of checking and control of far off natural parameters
precisely has developed as new field of research. The idea of Internet of Things (IOT) is additionally
developing quick where everything around us accompanies a web availability for observing and control.
Monitoring the environmental parameters and initiating a control action from internet is also part of this
concept. In proposed work, design an environment monitoring system, capable of monitoring and control
of environmental parameters like temperature, pressure and humidity. Also, focuses on design of a low
cost system that is capable. Which is not just remotely observing the earth factors like temperature,
Pressure and humidity additionally starts some control activity like exchanging devices ON/OFF from the
web. This framework utilizes Wireless sensor Networks for detecting nature parameters in the zone under
supervision. Sensors Node has been intended to gauge the temperature, weight and mugginess.. The
Control node has been designed to initiate the control action. The Central Monitoring is depends on
ARM11 raspberry pi board.
Wavelet Domain Image Resolution Enhancement
Miss Dipali D. Buchade, Mrs. Prof. L.K. Chouthmol
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
The aim of an image resolution enhancement technique is procedure of interpolation of the high
frequency subband images obtained by discrete wavelet transform intermediate stage by using stationary
wavelet transform. Discrete wavelet transformer is used to decompose an input image into different
subbands. The high frequency subbands as well as the input image are interpolated. The high frequency
subbands produced by stationary wavelet transformer. All subbands are combined to create a new high
resolution image by using inverse Descrete wavelet transformer. Interpolation technique mostly used in
image processing applications such as facial reconstruction, in super resolution, medical field, multiple
descriptions coding. Discrete wavelet transform is used to decompose low resolution image and stationary
wavelet transform is used to preserve edges
#NAME?
Bhamare Mayur Sahebrao, Prof.Kavita J Mahajan
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Advanced robotics is the future of technology. In the paramount ways that it can be implemented, there
are some devices that can make their use very simple and active entertaining .This paper presents one
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such device, that is, the leap motion technology and augmented and virtual reality and its implementation
in a new age robot. The robotic system developed till now, either needs a google cardboard and
smartphone and gesture control sensors to be operated.This paper defines a robot that needs such extra
help from external devices and runs solely on human command and display the immersive view.This
robot can assist a lot in search and shopping mall and industrial application for making human life simple
operations entertainment and inquiry based learning . In the tough world where it is not possible for
humans to reach everywhere and what stuff going on there, especially in the case of natural disarters and
difficult tasks,technology like this can come to grid aid.
Abandoned object detection based on statistics for labeled regions
Snehal Bhausaheb Dahivelkar, Prof.S.B.Borse
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Abandoned object detection is an indispensable requirement in many video surveillance contexts. with the
rising concern about the security in public places abandoned object detection become very useful system
to detect and recognize the suspicious activities that might endanger public safety, especially in crowded
places like airports, railway stations, shopping malls, movie theatres and the like. The major steps in the
proposed work involves background subtraction, abandoned object detection, and post processing to both
thermal and optical image data sets to extract the abandoned object from the scene.
Keywords—visual surveillance, background subtraction, abandoned object detection, post processing.
Iris Recognition System: A Novel Approach For Biometric Authentication
Rohini Subhash Shelke, Dr. Prof. S. B. Bagal
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
The main issue of this decade is security. Nowadays, there are different authentication systems based on a
password, card and biometric are present. Password and card based systems are the failure due to humans'
poor judgment. The researchers suggest that the biometric is most secure and prominent solution for
systems security. Among the biometric systems, iris-based biometric systems are more secured. In this
proposed system, segmentation technique utilized shape, intensity and localization of the pupil and iris.
The segmented region is converted into the rectangular region by normalization process. The use of Gray
Level Cooccurrence Matrix (GLCM) and Hausdorff Dimension (HD) extracts the texture based features.
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The extracted features were classified by supervised SVM machine learning algorithm. The performance
of the proposed system shows the robustness of the system
Internet of things
Sumit Bendre, Prof. Sunil Kumar
MIT PUNE [002]
ABSTRACT
Considerable effort has been put towards developing intelligent and natural interfaces between users and
computer systems. This is done by means of variety of modes in information (visual, audio, pen, etc.)
either used individually or in combination. The use of gestures as means to convey information is an
important part of human communication. The automatic recognition of the gestures enriches the Human-
Computer Interaction by offering a natural and intuitive method of data input for the Human-Computer
Interaction (HCI) based on shape analysis. The objective of this effort was to explore the utility of a
neural network-based approach to the recognition of the hand gestures. The proposed system used the
hand contour as a geometry feature. The overall model is designed to be a simple and robust gestural
interface prototype for various PC applications. Artificial Neural networks are flexible in a changing
environment. In this approach, we have taken snap shot of different hand gesture as input database
through Web-Cam connected to system and Feed Forward neural network based Error Back Propagation
Training Algorithm (EBPTA) used for classification and recognition purpose.
Attendance System Based On Face Recognition Using DRLBP Algorithm
Nilofer Tamboli, Dr.M.M Sardeshmukh
MIT PUNE [002]
ABSTRACT
we have proposed a conceptual model for automated attendance marking system using facial recognition
for high efficient signal transfer system application. With advances in telecommunications and computing
technologies, video and digital images are playing important roles in this information era. Human being
face is an essential biometric object in image and video databases of examination systems. Detecting and
locating human faces and facial features in an image or image sequence are important tasks in dynamic
environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can
vary significantly from frame to frame. An system for human face recognition in real time background for
a college to mark the attendance of their employees and students therefore using Real Smart Attendance
for Face Recognition is a solution for real world that comes with day to day activities of handling
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students. Here multiple user faces are detected and recognised with the data base trained multiple texture
based features.
IDENTIFICATION OF ABNORMALITIES IN MAMMOGRAMS USING
CUDA PLATFORM
Asad Parvez, Dr. Anuradha C. Phadke
MIT PUNE [002]
ABSTRACT
One of the most effective techniques for early breast cancer detection is Digital mammography. In this
technique, the electronic images of breast are taken and stored in the computer. Abnormalities in these
images can be found by Gray-Level Co-occurrence Matrix (GLCM) and its textural features. The
calculation of GLCM and it's textural features is a time consuming process. The affordable solution is
Graphical Processing Unit (GPU) based Compute Unified Device Architecture (CUDA) framework
where the calculations can be made parallel. The sequential program on CPU as well as parallel program
on GPU of GLCM and textural feature calculation have been implemented. The results of optimized
parallel implementation on GPU show up to 12 times faster calculation over sequential implementation on
CPU.
Implementation of Auditory Filter Bank for Denoising Speech Signal using
Simulink.
Priya Saboo, Prof. Vanita Raj Tank
MIT PUNE [002]
ABSTRACT
Audio is corrupted by different types of noise during acquisition of audio. The aim of noise removal from
audio is to attenuate the noise without modifying the original signal. Recently signal processing technique
for audio applications are incorporating features of human auditory system. Impulse response of basilar
membrane in the cochlea is basis for auditory filter bank. The proposed work deals with the
implementation of auditory filter bank in MATLAB Simulink to investigate its feasibility for noise
reduction in audio signal processing technique. Significant applications are in the area of speech and
music synthesis, speech feature extraction, audio coding, hearing aid, etc.
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Multi-focus Image Fusion using Deep Belief Network
Sana Shaikh, Dr. Arti Khaparde
MIT PUNE [002]
ABSTRACT
Multi-focus images may be fused to get the relevant information of a particular scene. Due to the limited
depth of field of a convex lens of a camera, some objects in the image may not be focused. These images
are fused to get the all-in-focus image. This paper proposes an innovative way to fuse multi-focus images.
The proposed algorithm calculates weights indicating the sharp regions of input images with the help of
Deep Belief Network (DBN) and then fuses input images using weighted superimposition fusion rule.
The proposed algorithm is analyzed and examined using various parameters like entropy, mutual
information, SSIM, IQI etc.
Dual Rate Hybrid DAC Architecture
Akbani Yahya Mohammadyasin, Dr. Prasad Khandekar
MIT PUNE [002]
ABSTRACT
This paper presents a dual rate architecture which includes a conventional Nyquist DAC (Digital to
Analog Converter) and a Delta-Sigma DAC. Tanner EDA tool is used to implement the architecture. The
conventional DACs which give high speed have limited linearity and the sigma delta DACs have higher
linearity but they are slower in comparison. Therefore, the dual rate hybrid architecture was proposed to
achieve both. The implementation of the hybrid architecture is achievable in CMOS. In this paper, the
design is fractioned into different blocks and those blocks are implemented using CMOS technology in
Tanner tool.
Different Segmentaion Algorithms For Bone Age Assessment
Pradnya A Birade, Dr. Arti Khaprde
MIT PUNE [002]
ABSTRACT
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Over some decades image processing has been widely used in medical research. Estimation of bone age is
one of the emerging topic in medical imaging. Bone age assessment (BAA) is an automated process to
evaluating the skeletal maturation level in children. The bone age is assessed by radiological examination
of skeletal development of left-hand wrist with database and then compared with the chronological age
(CA) which is the actual age from the birth date. A difference between these two values indicates
abnormalities in the skeletal development. Manual methods of BAA are time consuming. This paper deals
with the implementation and analysis of different segmentation techniques that can be used to extract
different bones in the wrist like distal, middle, proximal, radius and ulna.
Noise Reduction Using Fractional Calculus
Pramodini Shrihari Talware, Vanita Raj Tank
MIT PUNE [002]
ABSTRACT
In this paper, noise reduction utilizing fractional calculus is proposed. Different strategies are available
for commotion diminishment. Fractional calculus has been recently applied in various zones like
designing, science, bio-building. It has numerous applications, for example, use in separation, integral
equations, signal processing, fluid mechanics, and electrochemistry. In this work speech processing signal
application where Discrete Fractional Fourier Transform (DFRFT) is used which is an essential tool for
signal processing. It is a generalization of Discrete Fourier Transform. DFRFT has DFT Hermite
eigenvectors and retains the eigenvalue-Eigen function relation as a Fractional Fourier Transform that
reconstructs the signal. For the purpose of noise reduction Blind Source Separation has been utilize which
does not have prior knowledge of the original signal. By using this algorithm, we get better results and
SNR for enhanced signal as compare to noisy signal.
Retina Based Biometric Identification Using Feature Descriptors
Shalaka Haware, Prof. Alka Barhatte
MIT PUNE [002]
ABSTRACT
In this paper, another method for biometric identification using retina with the help of feature descriptor is
developed. Biometrics the term is normally connected with the utilization of extraordinary physiological
attributes to recognize a person. Various biometric recognizable proof techniques have been formed for
acknowledgment, but retina identification is the finest. In this, the Speeded Up Robust Feature (SURF)
and Oriented Rotated and BRIEF (ORB) are utilized as a feature descriptor. The retinal images often
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experience ill effects of defects like affine transformations i.e. translation and rotation, scale changes,
intensity changes. These imperfections can truly influence the feature extraction process regarding
execution time and quality. Hence to cope with these problems, SURF is used. This process gives robust
and fast image matching for feature matching process. ORB is very fast and based on binary descriptors,
which is rotation invariant and impervious to noise and performs faster than SURF. The VARIA database
is used for the estimation of SURF and ORB. For this system, the true acceptance rate for SURF is 96.296
percent and for ORB is 98.148 percent.
Arrhythmia Classification Using Neuro-Fuzzy Approach
Sayali Bhupendra Tandale, Prof. Alka S.Barhatte
MIT PUNE [002]
ABSTRACT
Electrocardiogram (ECG) is a non-stationary signal which constitutes a lineal recording that provides an
insight into heart’s electrical activity. Because cardiovascular diseases (CVD) are the number one cause
of mortality globally, detection of these abnormalities in ECG at an early stage is crucial for diagnosis and
treatment of CVDs. Analysis of ECG components with the help of advanced signal processing and data
analysis techniques provides useful information required for diagnosis of heart diseases. With the help of
available database of ECG signals, a system can help the cardiologists in detecting the type of arrhythmia
present in a patient. The proposed system learns fuzzy logic using an Adaptive Neuro-Fuzzy Inference
System (ANFIS) with the input preprocessed with subtractive clustering algorithm for removal of
undesirable high frequency noise etc. For classification, four classes of ECG, Left Bundle Branch Block
(LBBB), normal sinus rhythm, Atrial Premature Contraction (APC) and paced beats are considered.
Our goal is to extract those features of an ECG signal which can accurately determine if the patient’s
heartbeats are normal or irregular and classify them accordingly. We have applied Principal Component
Analysis (PCA) to reduce the sample values while extracting the statistical features. The results give an
average accuracy of 99.50%.
Keywords—ECG;CVD;ANFIS;features;LBBB;APC;Paced
Energy Efficient Street Light Controller for Smart Cities
Khatavkar Nikhil Ajit, Prof. Mrs.A.A.Naik
MIT PUNE [002]
ABSTRACT
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Smart city-based electronic product applications are gaining importance nowadays. It includes efficient
urban mobility, efficient public transportation, e-governance, safety and security, smart lighting system,
etc. The focus of this work is on designing street light control system providing reduction in power
consumption and wireless control. This kind of street lighting states to open street lighting that adapts to
movement by cars, walkers or cyclists. The system will work as adaptive street lighting. It will be blurred
when no activity is detected and will brighten when some movement is detected. In this case, the lighting
system is different from old-fashioned, fixed illumination, or dimmable street lighting that dims at pre-
determined times. Excessive lighting can be banned by targeted dimming of zones of the city, roads or
individual luminaires. According to traffic and crowd, light intensity will be controlled. This paper also
incorporates light sensors which will be useful in a rainy environment. Number of street lights will be
controlled by the user at a remote place. The complete system will work on RTC where lights will be
running at 100% intensity in peak traffic time and with reduced intensity after peak traffic time.
Heart Disease Classification using Convolutional neural network
Gawande Nikhil Prabhakar, Alka Barhatte
MIT PUNE [002]
ABSTRACT
Heart disease is canopy term for any disorder that distress health of an individual. There are heart diseases
like Ischemic heart disease, arrhythmia etc. These diseases can be classified using
Electrocardiography(ECG) signal. ECG is preferred to the display condition of the patient and for the
diagnosis and treatment of various types of cardiac diseases. The variations in P-wave, QRS complex and
T-wave parameters in ECG are used to identify the type of illness of the human heart. some heart diseases
are not serve though other may prove fatal. Thus, there is need of classification of different heart diseases.
To classify various heart diseases, it is intended to implement 1D CNN algorithm in the proposed work.
Comparison of Different Feature Extraction Techniques for Character
Recognition of Handwritten Devanagari Script
Sneha Rajendra Shitole, S.N. Jadhav
MIT PUNE [002]
ABSTRACT
Handwritten character recognition of Devanagari script is an area of research in the field of pattern
recognition. Feature extraction is crucially significant step in recognition system. The most important step
in Optical Character Recognition (OCR) is to select good feature extraction method. . In this paper, three
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feature extraction methods: chain coding, edge detection using gradient features and direction feature
techniques are compared using Support vector machine (SVM).
Implementation of Spectral Subtraction for Audio processing in Simulink
Ravina Jain, Vanita Raj Tank
MIT PUNE [002]
ABSTRACT
Spectral subtraction is one of the classical methods for audio de-noising in speech enhancement field,
whose purpose is to improve the quality and perspicuity of speech without any artifact. Spectral
subtraction is basically used for background noise suppression. Different algorithms have been proposed
for speech enhancement, among which the spectral subtraction give the best results. This paper describes
the implementation of spectral subtraction in MATLAB(SIMULINK), using Ideal Binary Masking(IBM),
which improves the for automatic speech recognition. In this paper different types of noisy audio signals
are analyzed like station noise, street noise, and restaurant noise, SNR is calculated and compared it with
local SNR i.e IBM to estimate the noise and subtracted from the noisy signal which results into de-noised
signal.
Implementation of CAN communication in PLC
Thoke Anusha Sunil, Prof. A. A. Naik
MIT PUNE [002]
ABSTRACT
This paper deals with the hardware simulation and CAN communication between the Expansion module
and Base module of the PLC (Programmable Logic Controller ). The microcontroller STM32F103C8Tx
will be used for simulation of the development of expansion module.and the results will be displayed on
the Display
Model Based Embedded Control System Design for Smart Home
Neelam Agarwal, Prof Varsha S. Bendre
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MIT PUNE [002]
ABSTRACT
The notion of a smart home with integrated sensors, actuators, wireless network and a graphical user
interface is very enticing. The proposed system presents the design and implementation of reliable,
flexible, secure and economical sensor network for transforming traditional home into a smart home. The
heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed in the
home environment. Hardware proposed, is going to control all home appliances in home along with
exchange of data for energy and performance Analysis. All devices are connected through wireless
protocols, to provide seamless data transfer between control module and appliances. Complete home
environment and control system modeled in Matlab Simulink before implementation, model based control
approach is the key to develop this application, and control model will be embedded in the
microcontroller board to realize the actual application. With system model and control model, will be able
to perform model in loop, software in loop, hardware in loop testing. On successful testing, the actual
implementation will be demonstrated with wireless network, actual loads and central processing control
unit which control the home environment, using Model Based Control Design.
A new and efficient alogorithm for removal of high density salt and pepper
noise in image and vedios
Chaitali Kadam, Prof.S.B.Borse
MIT PUNE [002]
ABSTRACT
In medical image processing the quality of the image is degraded in the presence of noise especially in
ultra sound imaging and Magnetic resonance imaging the data was corrupted by signal dependent noise
known as salt and pepper noise. Removal of noise from the medical images is a critical issue for analysis
and interpretation. In this work a new technique called Spatial Adaptive Mask Filter is proposed. The
proposed filter improves the quality of MRI and ultra sound images.Experimental results show that the
proposed filter outperforms than the mean, median, and adaptive median filters in terms of mean square
error (MSE) and peak signal to noise ratio (PSNR).
Secure & Energy Efficient Reconfigurable Cryptosystem Architecture for
Video Applications.
Shelke Babasaheb Sabaji, Dr. G. U. Kharat
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SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
Use of cryptosystem architecture in video application reduces wide complexity. To enhance the security
the combined work of public key cryptography and private key cryptography referred. The basic aim
behind this all is to generate a stream ciphers which ensures the privacy within communication channel.
When we move towards Long Term Evolution and Mobile applications the size and method for
generation of stream ciphers have extent importance. Stream ciphers can be generated simply from
pseudorandom sequence generator. An efficient way to produce stream cipher is its implementation in
hardware environment such as FPGA (Field Programmable Gate Array). In this paper we are mainly
interested in LTE systems and the different architecture and algorithms are used for their implementation.
The architectures used in LTE mainly follow the 3GPP confidentiality algorithm 128-EEA3 and the
3GPP integrity algorithm 128-EIA3. On above which SNOW3G and ZUC stream ciphers are dependent.
Since all are above mainly consider in beyond 3G applications. Here we are implementing ZUC
architecture in which the algorithm is designed in VHDL code and implemented on FPGA.
9785
Pardhi Seema Namdev, Dr. G. U. Kharat
SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
In previous years, the documents were made on papers, but papers are degrades due to chemical reaction
and may results in the important information lost. To solve this problem degraded documents are
binarized with image processing and computer vision algorithms. To obtain the cleared binary document
from the degraded document, it has to process with different image processing methods such as
preprocessing, contrast enhancement, binarization, edge detection, text stroke detection and post
processing.
In this paper, adaptive image binarization method using the combination of local image contrast and local
image gradient has been proposed. Firstly the contrast map of degraded document is constructed,
binarized it and text edge stroke are extracted by combining the binarized image with the canny edge
map. Finally, the text stroke edges within local window are obtained by applying local thresholding. The
proposed algorithm is tested on the DIBCO database and gives promising results.
ALTERNATIVE PRODUCT LABEL READING AND SPEECH
CONVERSION: AN AID FOR BLIND PERSON
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Rajendrasing Pratapsing Rajput, Dr.Rushikesh Borse
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
An aid to help handicap people is proposed in this paper for reading text labels in their day to day life
which can be executed by isolating the objects through cluttered backgrounds or either surrounding
objects in the camera view. This paper establishes a productive and efficient motion based technique for
defining a region of interest (ROI) in the video by shaking the object in the image. Gaussian based
background subtraction method is used for extracting region of movement of an object. Text localization
and recognition is done by using extracted ROI; since it is useful for retrieving text information. Learning
gradient features based algorithm is used for text localization in an Adaboost model. Optical Character
recognition technique is used for recognizing text characters in localized text regions. These text codes
are then recognized and then converted into speech signal as output for visually impaired people.
Red Lesion Detection In Fundus Image Affected By Diabetic retinopathy
Sarika Ekatpure, Ruchi Jain
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Diabetic Retinopathy is disease found in eye’s retina. In this disease red lesions due to blood leakage can
be seen on surface of retina. Diabetic Retinopathy is observed in a patient suffering from diabetes.
Ophthalmologists by manual inspection of fundus image diagnoses the disease. This takes a lot of time.
So there is a need of computer automated system for detection of red lesions. This paper present the
methodology to detect red lesions in the fundus image automatically. This proposed methodology uses
match filter extraction of vasculatures in retina and detection of red lesion. Support Vector Machine is
used for classification of disease. Extracted features of red lesions are used to train Support Vector
Machine. Diabetic Retinopathy can be classified as red lesion detected or red lesion not detected
Emotion recognition analysis based on EEG signals
Vaishali Khirodkar, R.P.Borse
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
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Emotion recognition is a procedure of distinguishing human feelings utilizing facial expressions, speech,
physiological signals, etc. EEG signal has a low noise ratio, as they originate from brain and are not prone
to social masking. We have chosen the physiological EEG signal to perceive human feelings. The
obtained EEG signal is processed, and different prominent features have been extracted on the basis of
which the emotions are classified using the minimum distance classifier into four quadrants of valence
and arousal. From the analysis, we have discussed how these different feature combinations and the
different distances which are applied for emotion classification have been selected. From the analysis
Manhattan distance is proved as the best for feature classification as it gives the accuracy of 97.5%,and
channel 10 is the most efficient channel.
Data Transmission Using Low Power Red LASER Beam With Voice
Announcement Facility.
Ashlesha Wankhede, Dr.J.P. Shinde
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
The use of LED-based visible light communication (VLC) for short range and low data rate application
has become area of focus for research and development communities.The paper addresses a
microcontroller based communication framework utilizing laser light to transmit information. The
microcontroller is interfaced with PC with the end goal of giving input parameters, for example text
content and sound to transmit with the assistance of laser medium. Here we transfer data in the form of
character or sound signal from one PC to another PC or Mobile to PC with the help of laser medium
wirelessly. In this investigation we found that the information transmission utilizing laser light is better in
many regards than the conventional communication system. Laser light has higher power, effectiveness,
and additionally better visibility and execution quality. It gives a significantly more straightforward
communication framework and lessening the perplexing wiring.
Hardware Implementation of Emotion Recognition System using EEG signals
Ratna Saha, Dr. M.M. Sardeshmukh
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Recognizing human emotion is a technique used to read the human emotions using facial expressions,
speech, physiological signals, etc. EEG signal are not prone to social masking. The acquired EEG signal
is processed and various prominent features have been extracted on the basis of which the emotions are
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classified using the minimum distance classifier into four quadrants of valence and arousal. From the
analysis, we have discussed how these different feature combinations and the different distances which
are applied for emotion classification have been selected. From the main analysis Manhattan distance is
proved as the best for feature classification as it gives the accuracy of 97.5%. The hardware
implementation of the signal is done on Raspberry Pi 3 Model B to show the emotion plotting and also
the supporting screen of Raspberry Pi is used for display. The software platform is based on the octave.
The furthermost result is shown on the screen with the supportive octave platform.
Effect of slot parameters on square patch antenna
Priyanka Dabrase, Dr. P.N. Shinde
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
This paper presents an impact of slots on square shape patch antenna The square microstrip antenna
comprises a thin sheet of FR4 having dielectric constant 4.3 substrate with conductive pure copper film
coating for radiating patch and ground plane and is feed through a coaxial probe feeding technique. The
square shaped patch is modified by inserting diagonally perpendicular slots. The antenna is radiated at
frequency of 4.72GHz. The impedance bandwidth of proposed antenna is 0.2719 GHz (4.6616GHz -
4.9335GHz), while the radiation efficiency is 43%. The peak gain over the operating bandwidth is 3.8 dB.
The antenna is circular polarization in nature with axial ratio bandwidth of 0.024462GHz .The proposed
antennas were simulated using CST microwave studio in the 0 to 6 GHz operating frequency range.
Simulation results were presented and discussed.
Reversible Data Hiding Using Histogram Modification Technique for
Contrast Enrichment
Kshirsagar Aparna, Dr. M.M.Sardeshmukh
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
This paper aims at proposing an encryption method by reserving quality of image. Some of previous
methods, embedding of data using different algorithms which may subjected to formation of error after
data extraction.The proposed scheme is achieved in real reversibility, data extraction and image
restoration are free from errors.Usual algorithms keeps PSNR values high for better quality but this
system just enhances the contrast of host image to achieve better visual quality using Reversible Data
Hiding. Highest two bins in the histogram are selected for data embedding so histogram equalization is
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performed by repeating the process.The original image can be completely recovered by embedding side
information along with message bits into host image.Implementation of algorithm is on two sets of
images to define its efficiency.The assessment results shows that visual quality can be restored after
embedding considerable amount of bits.This system gives better results than three specific MATLAB
functions
Emotion Recognition using Deep Neural Networks
Vibha V Salunke, Dr. C.G. Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
The Recognition of human emotions has been a challenging topic in field of human-computer interaction.
In order that there is a more natural interaction between human and computer, the computer must be able
to recognize, distinguish and respond to human emotions. Also the Automated Face Expression
Recognition (FER) is still continuing to be a challenging and concerning problem in Computer Vision. In
spite of all the efforts being made in the evolution of various methods for FER, the present methods lack
the popularity when it comes to unseen images or pictures captured in wild setting.
In this project we tend to design an artificially intelligent system capable of emotion recognition through
facial expressions. The network in this paper consists of three convolutional layers each followed by max
pooling and ReLu. The network is trained on FARC dataset and tested on RaFd dataset thus giving our
network a wide range of training images so that it can overcome the basic problem of recognition of
unknown faces.
Performance Analysis of DS CDMA System with Nakagami and Rayleigh
Fading channel
Patel Neha Shashikant, Prof. R. G. Zope
SRES COE, KOPARGAON [012]
ABSTRACT
In this proposed system, we analyze the system performance of DS CDMA System using Rayleigh and
Nakagami-m fading channel. The analysis is also extended to Rake receiver with Maximal Ratio
Combining (MRC) technique with multiple receiving antenna. The results are presented in terms of BER,
SNR and improvement of receiver sensitivity due to diversity. In Proposed work we will work on the
relationship between MRC diversity and Nakagami-m fading is investigated. The error performances of
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several modulation schemes with diversity over Rayleigh fading and without diversity over Nakagami-m
fading is analyzed and compared under rake receiver environment. The analysis is further extended to
diversity over Nakagami-m fading channel. An attempt has been made to find the physical interpretation
of Nakagami-m with MRC diversity over Rayleigh fading channel. A novel equivalence is obtained
between diversity orders over Rayleigh fading and Nakagami parameter m.
Keywords— MAI, SINR, MRC
Adaptive Traffic Light Control System
Shinde Swapnil Manohar, Prof. M. A. Sayyad
SRES COE, KOPARGAON [012]
ABSTRACT
Conventional traffic light control systems are based on fixed time
intervals of the traffic lights. These conventional systems have
limitations as they lack adaptation on real time basis. Thus due to
fixed time intervals of signals there is excess waiting time on roads.
Also these conventional systems do not have any provisions to provide
information on traffic densities, which lead to traffic congestions.
Thus, to make traffic light controlling more efficient we exploit the
emergence of Adaptive Traffic Light Control System (ATLCS). ATLCS
makes use of sensors for sensing the traffic. On categorising this
sensed traffic the timings of signals at crossing are varied to keep
waiting time minimum. Thus, optimization of the traffic light
switching increases road capacity and prevents traffic congestions.
The system also aims at incorporating special provisions for making
immediate way for the emergency vehicles. GSM cell phone interface
provides traffic information to drivers on demand.
Automatic Number Plate Recognition for Vehicle Identification using OCR
Miss. Aher Suvarna Ramchandra, Prof. N. D. Kapale
SRES COE, KOPARGAON [012]
ABSTRACT
Number plate recognition is a form of automatic vehicle identification. It is an image processing
technology used to identify vehicles by their own number plates. Automatic Number plate recognition is
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designed to identify and recognize the number plate.Automatic number plate recognition has three major
parts: vehicle number plate extraction, character segmentation and Optical Character Recognition (OCR).
In this system, Automatic Number Plate Recognition (ANPR) is a special form of Optical Character
Recognition (OCR). OCR is used to recognize an optically processed printed character number plate
which is based on template matching. The resulting data is then used to compare with the records on a
database with the specific information like the vehicle’s owner, place of registration, address etc .The
system is implemented and simulated in Matlab and its performance is tested on real images. The
developed system successfully detects and recognize the vehicle number plate.
A Person Identification Framework Based On Palmprint And Fingerprint
Biometrics.
Gaikwad Prajakta Prabhakar, Prof. N D Kapale
SRES COE, KOPARGAON [012]
ABSTRACT
The survey on palm print and fingerprint has been investigated over many years. Fingerprint is a
popular biometric identification technology and studies are still going on in the palm print identification.
But researches based on the multimodal biometric that combines palm print and fingerprint technology,
which will provide better security and robustness comparing to the stand alone model have not been that
much expanded. This paper provide an overview of current palm print and fingerprint technologies
describing in particular the different pre-processing techniques, feature extraction, fusion techniques and
varieties of matching algorithms. The training database consists of finger and palm print images. Principal
Component Analysis method is used to extract the features from finger and palm prints separately. The
feature normalization take placed. The normalized match (distance) scores generated by respective palm
and finger features before fusion, are used to form fused match score. The Euclidean distance and the
feature distance are calculated after fusion. All three distances are used to arrive at final decision. The
feature extraction and the matching modules of the biometric system can lead to substantial improvement
in multimodal matching performance.
Psoriasis detection using texture analysis
Vrushali Vasudev Muradare, Dr. D. N. Kyatanavar
SRES COE, KOPARGAON [012]
ABSTRACT
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Psoriasis is a chronic inflammatory skin infection that effectsmore than 3% of the population. Different
strategies are at present used to assess psoriasis seriousness and to screen restorative reaction. Thesystem
of scoring is generally utilized for assessing psoriasis seriousness. It uses a visual simple scale to improve
the performance of psoriasis sores. In any case, system scores are subjective and experience the ill effects
of poor bury and intra-eyewitness concordance. As a fundamental piece of building up a solid assessment
technique for psoriasis, a calculation is exhibited for fragmenting scaling incapture images. The
calculation is accepted to be the first to restrict scaling specifically in computerized images. The scaling
division issue is dealt with as an order and parameter estimation issue. A MRF is utilized to smooth a
pixel-wise characterization from SVM that uses a component space got from image shading and scaling
surface. The preparation sets for the SVM are gathered straightforwardly from the picture being broke
down giving the calculation more flexibility to varieties in lighting and skin sort. Utilizing the algorithms
the out is to give solid division yield when assessed with pictures with various distinctive lighting
conditions, skin sorts, and psoriasis sorts.
solar energy based sine wave inverter
Varsha Laxman Admane, Prof. R G Zope
SRES COE, KOPARGAON [012]
ABSTRACT
Energy crisis are of special attention now-a-days. A need
for reasonable power rating inverter is required to smoothly operate
electrical and electronic appliances. Most of the commercially
available uninterruptible power supply ( UPS) are actually
square wave inverters or quasi sine wave inverters. Lights and fans
can only be switched with the help of them and other electronic
devices cannot be plugged into them as they damage them. Available
sine wave inverters are very expensive and by examining the output
wave, it is observed that it is not of good quality. Quality of output
waveform of an inverter is determined by the harmonic contents present
in it. An ideal inverter should only have a fundamental harmonic
component at the designed frequency. Square wave contains odd
harmonics from which fundamental harmonic component can be extracted
by applying higher order filter. Higher order filters in terms of
inductors and capacitors are physically unrealizable, its mathematical
analysis becomes complex and gain of the system decreases
drastically.There are different topologies for implementing sine wave
inverter. Sine wave inverter is widely used in many commercial
and industrial applications including uninterruptable power
supplies, induction heating, variable frequency drives, electrical
vehicle drives and high voltage direct current (HVDC) links.A control
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circuit based advanced technique of generating sine wave with
minimized harmonics is implemented in this project. The proposed
technique aims to design and implement a voltage regulated inverter
with ripple free and glitch free output sine wave that can operate
electronic devices efficiently. The design is essentially focused upon
low power electronic appliances such as personal
computers, chargers, television sets. The inverter output is regulated
from 16-volt rms to 230-volt rms . The design is mathematically model
which will be simulated using software Matlab, Proteus and the
results will be verified .
Digital Audio Implant in a Image for Information Protection.
Bhagyashree Arun Aher, Dr. B. S. Agarkar
SRES COE, KOPARGAON [012]
ABSTRACT
In recent times, communication through the internet has tremendously facilitated the distribution of
multimedia data. Although this is indubitably a boon, one of its repercussions is that it has also given
impetus to the notorious issue of online music piracy. Unethical attempts can also be made to deliberately
alter such copyrighted data and thus, misuse it. Copyright violation by means of unauthorized
distribution, as well as unauthorized tampering of copyrighted audio data is an important technological
and research issue. Digital audio implant is a solution to tackle this issue.
The main purpose of digital audio implant is to protect against possible threats to the audio data and in
case of copyright violation or unauthorized tampering, authenticity of such data can be disputed by virtue
of audio implant. This method is also called as watermarking. For this we are going to see an Integer
transform called as RCM i.e. Reversible contrast mapping.
pH neutralization using hybrid Fuzzy PID controller
Gadekar Chhaya Balasaheb, Prof. S George
SRES COE, KOPARGAON [012]
ABSTRACT
The interest for utilization of cutting edge control systems for process ventures is expanding quickly due
to complex nature of modern procedures. The request too increments to accomplish change of the item
quality and ecological components. One such case of complex process is the pH balance prepare. This
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paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and
PID) design along with practical implementation and validation of pH neutralization pilot plant. The
accuracy of the proposed system is greater than the earlier techniques
A Reconfigurable Smart Sensor Interface in IoT Environment
Taware Krushnali A., Dr. (Mrs.) Doshi N.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
In wireless sensor network (WSN) a sensor interface device is very important. On the Internet of Thing
(IoT) environment, every sensor is associated with the device is required to write a complex & long data
collection program code. Also, different users have different requirements and need different types of
sensors for are required for different applications. This paper deals with smart sensor interface: a portable
STIM block is obtained using a VHDL model of IEEE1451.2. Hence compact solutions allowing low-
cost, small, smart, large- scale production is possible. To evaluate the performances of proposed model,
the parameters like temperature and light intensity is measured in the case of a smart city.
Automatic Detection of Sleep Apnea Using Physiological Signals
Dhale Prachi R., Prof. Borate S.P.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
We established and tested a sleep apnea monitoring method using analysis of ECG and SpO2 signals for
continuous and accurate monitoring of apneic events occurred during sleep. Two signals ECG and SpO2
are investigated, to extract a physiological indicator that determines sleep apnea. The pulse oximetry
signals divided into signal segments and features from SpO2 are extracted in the time and frequency
domain. It uses the support vector classifier (SVC) to detect apnea episodes. The work presented in this
paper was tested using downloaded polysomnographic ECG and SpO2 data from the Physionet database.
SVC model complexity is reduced by reducing the dimension of feature set from ECG. Also reduction in
ECG-derived respiration signals and the number of support vectors play important role to reduce SVC
model complexity.
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Design And Implementation Of Aging-Aware Reliable Super Multiplier
Design With Adaptive Hold Logic
Atole Shital T., Dr. (Mrs.) Doshi N.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
- In VLSI to reduce the power dissipation, scaling methods plays an important role. Advanced digital
multipliers are among the most worrisome arithmetic units. The overall performance of these multipliers
depends on throughput as well as latency. There ar
Identification of Brain Tumor Using Gray Level co-occurrence matrix
Technique
Bhagat Jayali V., Prof. Dhaigude N.B.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
Brain tumor is abnormal growth of mass within the brain. This is very serious problem for physicians. To
solve this problem an automated system is needed to identify and classify the brain tumor. This paper
shows the comparison of three different intensity based feature extraction method. Four main classes of
brain tumor are bronchogenic carcinoma, Astrocytoma, Meningioma, sarcoma. The main aim of this
paper is to extract the various intensity based features and for this calculation MATLAB tool is used.
Experimental result shows that GLCM (Gray Level Co- Occurrence Matrix) method gives good results in
terms of accuracy.
Hybrid Automation Framework For Embedded System
Burungale Rutuja C., Prof. Borate S.P.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
This paper presents the tool that tests recurring behavior, i.e., UI Patterns, on mobile applications. The
tool is implemented in Java and makes use of Android’s APIs UIAutomator. It automatically explores a
mobile application in order to automatically identify and test UI Patterns. Each UI Pattern has a test
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strategy, Test Patterns, associated, which are applied when an UI Pattern is found. The approach works
with catalogue of UI Patterns, which tells us among the many patterns enlisted in catalogue which UI
Patterns are to be tested, and what should their correct behavior be, and they can be used for any
application. The paper proposed an automatic test framework to fulfill workflow testing requirements.
DFT Based IRIS Recognition System
Chandgude Pranita M., Dr. Patil A.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
As in today’s information technology world, systems security is becoming more and more essential. The
number of systems that have been compromised is ever increasing and authentication plays a major role
as a first line of defence against intruders. So , Biometrics applications are becoming more & more trendy
for verification & authentication of the living person based on its psychological & behavioral
characteristics in the recent years. Iris recognition system is reliable for purpose of authentication
because of its unique patterns of iris. Previous biometric identities involves fingerprint, palm , voice,
signature & gait style etc. but if the age of human being increases they will suffer from various problems
with this previous biometric identities. Whereas iris will have less problems as it is internal & more
secure organ of the eye & the patterns of iris will be stable throughout our life. So iris recognition will
one of the new & innovative biometric application.
Battery management system in electric vehicle
Dhaigude Rohit S., Prof. Shaikh J.H.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
A battery management system (BMS) is an electronic regulator that monitors and controls the charging
and discharging of rechargeable batteries. The BMS is monitors the charging and discharging such as
voltages, currents and the battery internal and ambient temperature. The monitoring circuits would
normally provide inputs to protection devices which would generate alarms or disconnect the battery from
the internal load,charging circuitary and it should any of the parameters become out of limits.
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Prostate Cancer Detection using Multiatlas Selection
Jagtap Vaibhavi N., Prof. Kale S.D.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
Recently prostate cancer is the second reason of death in American people. Many American peoples
suffer from the prostate cancer. In the field of image segmentation, multi-atlas method is more commonly
used for medical image segmentation. Now a day the manifold ranking method is becoming popular.
Within the raw images, it is not an easy to achieve accurate selection of atlas results due to the complex
structure of prostate by only measuring the distance within raw images on the manifold. This paper tries
to reduce the effect of surrounding structure by proposing the manifold projection on raw images which
are constrained by label images. We propose a novel automatic segmentation method for prostate cancer
detection.
Super-pixel based automatic Retinal Area Detection For Diagnosing Retinal
Diseases.
Kadam Sarika S., Prof. Kale S. D.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
In the computer-aided disease diagnosis the first important step is to distinguish the exact retinal area
from artifact’s and it is a more challenging task. Retinal diseases are serious and if not detected and
treated during the early stages itself then it results in the loss of eyesight. Hence we discover whether a
retina is healthy or not for the detection of retinal diseases. Scanning Laser Ophthalmoscope (SLO) is
used for capturing retinal image but in this imaging technique artifacts are also imaged with retinal area.
In this paper we focuses on automatically extract out true retinal area from an SLO and further we classify
the retinal diseases based on machine learning approaches using ANN classifier.
Identify text and product label from handheld objects with audio output for
blind person.
Kalbhor Komal M., Prof. Kale S.D.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
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ABSTRACT
For blind person new approach a identify text name and product labels and product packaging from hand-
held objects in their daily life. To seperate the object from cluttered backgrounds or other surrounding
objects in the camera view, first developed an efficient and effective motion based method to define a
region of interest (ROI) in the video basking the user to shake the object. The work consists of three
stages. First stage is image capturing -by using a camera, the text which the user want to read will get
captured as an image and have to transfer to the image processing platform. Second stage is text
recognition -by using pre-processing method and feature extraction method extract various feature of text
image and given to ANN for training and classification . Third is speech output - the filtered text will be
recorded to get an audio speech output. This work will be useful for blind persons in their daily life. The
all process is done with the help of MATLAB software.
Low Complexity HEVC Intra Coding
Kaniche Yogita R., Prof. Borate S.P.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
INTRA video coding technique is essential for high-quality mobile video communication; it boosts video
quality and prevents error propagation. The new high-efficiency video coding standard has an advantage
of structure complex angular INTRA prediction and flexible quad-tree-based block to get better result of
the coding efficiency, however these technologies can increase the complexity of coding and it will
consume large computation time as well as power cost. It is the barrier for real-time video application. To
diminish the coding complexity and to save the power cost, we have proposed a fast INTRA coding unit
depth decision method based on correlation analyses and statistical modeling.
We observe the spatial coding unit depth correlation by way of the different textures and present
effective techniques to predict the most likely depth range which is based on the relationship among CUs.
Occasionally the spatial correspondence may fail for transitional areas and image boundary between
smooth areas and textural. We present a statistical model-based CU decision approach. In this adaptive
early termination thresholds are determined and afterward updated based on the quantization parameters
(QPs) and rate-distortion (RD) cost distribution. An extensive experiment shows that the proposed overall
algorithm can reduce the coding complexity up to 55.61%.
Smart vanet system with accident detection traffic alert system
Kate Komal S., Prof. Shaikh J.H.
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SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
New communication technological advancements incorporated into cutting edge vehicles offer an
opportunity for better help to people injured in traffic accidents. Recent studies show that how the
communication capabilities should be supported by Artificial Intelligence systems equipped for atomizing
large portions of the choices to be taken by emergency services, in this manner adapting the rescue
resources to the severity of the accident and reducing assistance time. To enhance the general rescue
process, a quick and exact estimation of the seriousness of the accident represent a key point to help the
emergency administrations to better estimate the required assets. Our framework considers the most
important factors that can describe the severity of accidents (factors, for example, the vehicle speed, the
type of vehicles involved, the impact speed, and the status of the airbag). Results demonstrate that an
entire Knowledge Discovery in Databases (KDD) process, with adequate selection of relevant features,
permits generating estimation models ready to anticipate the seriousness of new accidents. We build up a
prototype of our system based on off-the-shelfdevice. Oursystem can eminently decrease the time
expected to alert and deploy the emergencyservices after accident happens.
Content Based Image Retrieval By Using Hybrid Techniques
Phalke Tejashri N., Dr. Patil A.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
An effectiveness of Content-Based Image Retrieval (CBIR) system is based on an efficient feature
extraction and accuracy of images retrieved from the database. Based on visual contents images are
retrieved in any CBIR system. This paper combines colour, texture & shape features to obtain better
retrieval efficiency. We have used Colour Descriptor (CN)for extracting colour features, while Gray
Level Co-occurrence Matrix(GLCM) has been used for extracting texture feature and shape is extracted
using geometrical features present in an image. Visually similar images from the huge database are
obtained using those feature vectors. It has been observed that each approach has its results which are
differing from individual approaches. Human decision decides which approach is suitable for the image to
search similar image from database.
Image Super-Resolution For Distance Aware
Mane Shital D., Dr. Patil A.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
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ABSTRACT
A technique for enlarging low resolution images into high resolution format so as to maintain perceptual
constancy has evolved. It models the relationship between a viewer and a display by considering two
main facts of visual perception. It considers scaling factor and blur radius of perception .An image is
enlarged by considering its blur level and viewer’s distance .There should be proportion between the
viewer’s distance and scaling factor towards display. The focal length of the viewer defines blur level.
Parallel Spectrum Sensing In Cognitive Radio Network
Nale Aniket K., Prof. Dhaigude N.B.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
In this paper, we can consider the multiple group-based cognitive radio network, the secondary users
having heterogeneous sensing ability in terms of high accuracy for sensing it can be multiple channels are
used. We can use that cognitive radio network CSS scheme is used for SU while in a case of absent PU, it
allocates various group in SU for using different sensing round. The group-base CSS use in work group
we share channel in same cooperating users is in multiple rounds. In this work, we propose adaptively
assigning that the heterogeneous co-operating secondary users to different groups to maximise the
throughput efficiency while maintaining a predefined sensing accuracy. In Cognitive Radio Network is
detected by channel are use or not. In case it will be not detect then possible sometimes a lots of
constraints & challenge and may be a possible busy server. In heterogeneous group based channel shares
CSS scheme, the PU users get not possible to provide network then use SU smartly. It provides the
network to various group with the help of different sensing round. Adaptive Secondary User solves the
problem about Heterogeneous Group user and achieve that the maximise throughput efficiency & low
computational complexity significantly with the help of non-adaptive assignment and sequential CSS
scheme.
Detection and Classification of Indian Traffic Sign
Nikam Priyanka A., Prof. Dhaigude N.B.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
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traffic sign recognition plays an important role in driver assistant systems and intelligent autonomous
vehicles. In today’s world, as road conditions are improved due to which the speed of a vehicle is also
increased, there might be a chance of neglecting road sign (prohibitory, mandatory, danger, informatory).
The proposed system helps driver about detecting road sign which automatically increases driving safety
and comfort. This paper proposes a novel system for traffic sign detection and classification. Detection
module segments input colour image into YCbCr colour space. And further classification is done by using
PCA (Principal Component Analysis).
Non-invasive Blood Glucose Level Prediction Using Near-Infrared
Spectroscopy
Ranaware Sagar B., Dr. (Mrs.) Doshi N.A.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
This paper describes review on Non-invasive method of blood glucose level predictions using Near-
Infrared sensor. This research work provides three major contributions to the society. First, it provides
unique solution for diabetic patient to monitor blood glucose level without pricking the blood. Second, it
describes NIR spectroscopy technique to reduce healthcare cost and accurate results. Third, it gives
different research approach towards non-invasive blood glucose measurement and monitoring.
IMAGE PROCESSING BASED GRAIN SORTING SYSTEM USING
RASPBERRY-PI
Garud Supriya D., Prof. Shaikh J.H.
SVPM's College of Engineering, Malegaon (BK), Baramati[19]
ABSTRACT
In India, agriculture production is important for income of people because more than 50% population
depend on agriculture field. When peoples are export or buying their production then grains value depend
on its quality. If quality is increases, automatically value is increases. Quality control is very important in
agriculture production because after harvesting, based on quality parameters grains product are classified
and graded into different grades. .Grain quality evaluation by human eye is not accurate and time
consuming, may be varying results and costly. To overcome these limitations, we implement this paper
using image processing technique with embedded solution for grain quality wise sorting system. An
automated system is introduced which is used for analysis of rice quality and grade (i.e. grade A, grade B,
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and grade C) using Probabilistic Distribution. The testing parameter of rice is size, shape and physical
defects etc.
Design of MIMO Antenna for UWB Band application
Mandar Rajendra Jadhav, Vivek Kamble
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
In this paper compact antennas have been designed in a Multiple-Input Multiple-Output (MIMO) system.
The antennas are rectangular shape microstrip patch antennas and fed by a microstrip line designed for a
frequency band of 3.1 GHz to 10.6 GHz used for WLAN and Wi-Max band applications. The antennas
are designed on High Frequency Structure Simulator software with return loss less than -10dB. The
MIMO system is designed for centre frequency 6.8GHz antennas which yields better result in terms of
return loss (S11 and S22) and mutual coupling (S12 and S21).
Speech recognition using HTK toolkit for English Language
Supriya Sanjay Chavan, Prof.S.M.Handore
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
Abstract: This project is based on SR system. In the speech recognition, process computer takes a voice
signal, which is recorded using a microphone and converted into words in real-time. This SR system has
been developed using different feature extraction techniques, which include MFCC, HMM.ASR i.e.
speech recognition is program or called it as machine, and it has ability to recognize the voice signal
(speech signal or voice commands) or take dictation, which involves the ability to match a voice pattern
opposite to a given vocabulary. HTK i.e. The Hidden Markov model Toolkit is used to develop the SR
System. HMM consist of the Acoustic word model, which is used to recognize the isolated word. In this
project, we collect English database, with a vocabulary size a bit extended. HMM has been implemented
using the HTK Toolkit.
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Bit Error Rate evaluation for CPM MIMO System over Rayleigh Fading
channel using Matlab
Reshma Ram Wattamwar, Prof. Vaibhav Hendre
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
Multiple Input Multiple Output (MIMO) systems are integral part of current wireless network. These
MIMO systems uses more than one antenna at transmitter side and receiver side also, so transmission
reliability of the system is improved. These systems increases channel capacity and provides diversity
gain without additional transmit power. MIMO system enhances capacity and reliability of system. In this
proposed system we use CPM modulation for signal transmission. CPM gives constant envelope and
phase continuity. Its constant envelope makes it more suitable for low cost nonlinear instead of linear
modulation, such as PSK. In this paper, we evaluated bit error rate based on Maximal Ratio Combining
(MRC). The Bit Error Rate (BER) analysis is performed for both SISO system and MIMO system
theoretically and empirically. For SISO system we obtained the BER for different modulation order by
using PAM modulation technique.. As the modulation order increases the BER performance also
increases. For MIMO system we used CPM modulation technique. We obtained the BER for 2x2, 4x4
transmitting and receiving antennas. As we increases the number of transmitting and receiving antennas
BER performance increases.
MME based signal detection for spectrum sensing in TV band and
transmission of TVWS information
Thingbaijam Geetpriya, Madhukar Mohanrao Deshmukh
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
The use of wireless communication has been increasing recently as a part of the development, and thus
making it the most popular communication. So, new wireless services when launch, spectrum scarcity
problems are being encountered. To overcome this problem Cognitive Radio (CR) can be better solution.
Spectrum sensing is the main function of the CR to find the unused spectrum in licensed band. In this
paper, spectrum sensing based on Eigen-value and covariance matrix is implemented. The algorithm
Maximum-Minimum Eigen value (MME) detection is used to detect the primary signal existence. This
method can be used without the prior knowledge of signal, the channel and noise power. And after
detection algorithm, the secondary user (SU) can use the unused spectrum, if available to transmit
information.
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Traffic Control Using Cognitive Video Transmission on TVWS: A Case Study
Kiranrani Thokchom, Madhukar Mohanrao Deshmukh
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
As the number of vehicles is increasing day by day, traffic congestion becomes a serious issue nowadays.
In order to overcome the congestion problem we need to develop an intelligent traffic control system that
is based on the measurement of the traffic density and video transmission and image processing for real
time traffic density analysis. Reducing traffic congestion will help reducing in consumption of fuels,
waiting time and lower the number of accidents. Video is transmitted using GMSK modulation on SDR.
Here, frame difference method of object detection is used to detect vehicles on the road. Traffic density is
calculated based on the pixels belongs to vehicles on the road in terms of total amount of pixels in a video
frame .In this paper, the focus is on MME detection, and image processing of the received video of traffic
thereby controlling the traffic dynamically and adaptively. To evaluate the performance, the MATLAB
simulation is carried out.
Traffic Control Using Cognitive Video Transmission on TVWS: A Case Study
Kiranrani Thokchom, Madhukar Mohanrao Deshmukh
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
As the number of vehicles is increasing day by day, traffic congestion becomes a serious issue nowadays.
In order to overcome the congestion problem we need to develop an intelligent traffic control system that
is based on the measurement of the traffic density and video transmission and image processing for real
time traffic density analysis. Reducing traffic congestion will help reducing in consumption of fuels,
waiting time and lower the number of accidents. Video is transmitted using GMSK modulation on SDR.
Here, frame difference method of object detection is used to detect vehicles on the road. Traffic density is
calculated based on the pixels belongs to vehicles on the road in terms of total amount of pixels in a video
frame .In this paper, the focus is on image processing of the received video of traffic thereby controlling
the traffic dynamically and adaptively. To evaluate the performance, the MATLAB simulation is carried
out.
Design of MIMO Antenna for UWB Band application
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Mandar Rajendra Jadhav, Prof. Vivek D. Kamble
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
In this design 2x2 antennas have designed in a Multiple-Input Multiple-Output (MIMO) system. The
antennas is rectangular shape patch antenna and fed technique is microstrip line designed for a frequency
band of 3.1 GHz to 10.6 GHz used for WLAN and Wi-Max band applications. The antennas is simulated
by using High Frequency Structure Simulator software with return loss less than -10dB. 2x2 MIMO
antenna is designed at center frequency 6.8GHz antennas with better result of
Retinal blood vessel and optic disc segmentation for classification of retina
diseases
Pradnya Yuvaraj Patil, Prof. S. M. Handore
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
Blood vessels in the retina serves to supply blood and oxygen to the blood vessel of the retina. If the
blood and oxygen supplies are not smooth, then this may be a reference to detect whether there are health
problems (hypertension, cardiovascular, stroke or diabetes). Different changes in retinal blood vessel
features like shape, colour and tortuosity are precursors of serious diseases such as diabetic retinopathy,
hypertension, glaucoma, hemorrhages, vein occlusion, and neovascularization etc. Therefore, morphology
of retinal vascular features and optic disk can assist in detecting these changes and allow the patient to
take action while the disease is still in its early stages. For evaluating and imaging patients with retinal
diseases, clinical photographers usually capture color images of the retina using a specialized fundus
camera. Among different retinal analysis tasks, retinal blood vessel extraction plays an extremely
important role as it is the first essential step before any measurement can be made. Detection of optic disc
area is complex because it is in an area that is considered as pathological blood vessels when in
segmentation and thus require a method to detect the area of the optic disc, the proposed method is very
simple, K - means clustering method used to detect the optic disc area with perfected using adaptive
morphology. This also uses a gray level based features method for segmenting the blood vessels from the
optic disk.
Retrieving of High Resolution Image by using Fusion of Local and Global
Features
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Ashwini Mahadev Bhujbal, Prof. S. M. Handore
TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
Abstract -
The project proposes the image retrieval technique based on GLCM (Gray level co-occurrence matrix)
and LBP (Local binary pattern) features. The main target of CBIR (Content-based Image Retrieval) is to
get accurate results with lower computational time. The need for efficient content-based image retrieval
has increased tremendously in many application areas such as biomedicine, military, commerce,
education, and web image classification and searching. CBIR technology overcomes the defects of
traditional text-based image retrieval technology, such as heavy workload and strong subjectivity LBP is
an effective method for texture analysis, being appreciated for accuracy and computing power.
The LBP operator is invariant to illumination and contrast changes in the image. Intensity Histogram is a
simple method used to compare images with the advantage of being insensitive to small changes of
camera position. It makes full use of image content features (color, texture, shape, etc.), which are
analyzed and extracted automatically by computer to achieve the effective retrieval Using a single feature
for image retrieval cannot be a good solution for the accuracy and efficiency. Using Euclidean distance,
similarity between queried image and the candidate images are calculated. Future work will be made to
add more features that are famous in CBIR which are texture, color, and shape features in order to get
better results.
Introduction -
For content based image retrieving , the features of images like color, texture and shape of image is
retrieved by using LBP and wavelet transform. LBP involve color, texture and shape. GLCM and wavelet
is useful since it can contain three major elements, texture information, histogram information and edge
information.
Block Diagram-
Objectives-
1. Converting query image (RGB) to HSV plane and calculating LBP Features
2. Converting query image (RGB) to Gray scale image and applying wavelet and GLCM on image
for calculation of major element, texture information and histogram information.
3. Combination of LBP, Wavelet and GLCM features.
4. Similarity measurement between database image features and combined features of query image
by using Euclidean distance for retrieving of image.
Image Transmission Using Feature Extraction Technique
Ruchi Rajendra Gaikwad, Prof. S. M. Handore
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TRINITY COE & RESEARCH,PUNE [065]
ABSTRACT
Abstract -
The project proposes the image feature extraction technique based on GLCM (Gray level co-occurrence
matrix) features and wavelet transform. Statistical texture features is obtained by formulation of Gray
level co-occurrence matrix. Statistical method of examining texture that considers the spatial relationship
of pixels is the gray-level co-occurrence matrix (GLCM), known as the gray-level spatial dependence
matrix. The texture of an image is characterized by GLCM functions by calculating how often pairs of
pixel with specific values and in a specified spatial relationship occur in an image, thus creating a GLCM,
and then statistical measures from this matrix are extracted . GLCM can be used to extract number of
texture features. Texture features are computed from the statistical distribution of observed combinations
of intensities at specified positions relative to each other in the image in statistical analysis. Statistics are
further divided into first-order, second order and higher-order statistics based on the number of intensity
points (pixels) in each combination.
In Discrete Wavelet Transform, signal energy concentrates to specific wavelet coefficients. A 2D DWT
can be seen as a 1D wavelet method in which transformation takes place along the rows and then a 1D
wavelet transformation is performed along the columns. The 2D DWT inserts array transposition between
the two 1D DWT. First rows of the array are processed with only one level of decomposition. The array is
separated into two vertical halves, in which the first half contains the average coefficients and the second
vertical half contains the detail coefficients. This process is again carried out with the columns and this
eventually results in four sub-bands within the array which are defined by the filter output.
Introduction -
For transmission of image features , GLCM and wavelet is useful since it can contain three major
elements, texture information, histogram information and edge information.
Block Diagram-
Objectives-
1. Converting input image (RGB) to B plane image.
2. Obtaining wavelet transformation of input image.
3. Feature extraction using GLCM technique.
4. Entering the key for security purpose
Performance Analysis of MIMO Systems with Antenna Selection over
Generalized κ − μ Fading Channels
Itnare Minal Narhari, Prof. Hendre Vaibhav
TRINITY COE & RESEARCH,PUNE [065]
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ABSTRACT
Abstract— Multiple-input and multiple-output, or "MIMO" referred to the use of multiple antennas at
the transmitter and the receiver for simultaneous sending and receiving more than one data signal over
the same radio channel by exploiting multipath propagation and beamforming. Transmit Antenna
Selection (TAS) is most important part of future wireless systems to reduce the complexity of multiple
antenna techniques and to satisfy the need of higher data rates. In this paper, the performance of MIMO
scheme is analyzed under k-µ fading channel and also Nakagami-m fading channels using Maximum
Ratio Combining (MRC) and or selection combining (SC) at receiver. The analysis of these combining
methods is done on the basis of two major factors, Signal to Noise Ratio (SNR), Bit Error Rate (BER) and
Ergodic capacity performance using 4-QAM and BPSK modulation techniques. MIMO indeed takes
advantage of random fading, and possibly delay spread, to multiply transfer rates.
Microstrip fed broadband circularly polarized monopole antenna
Gauri Kailas Kirve, P. K. Kadbe
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
A microstrip-fed broadband circularly polarized (CP) monopole antenna studied. Impedance bandwidth
and large axial ratio bandwidth (AR-BW) obtained at a time. This antenna used a monopole architecture,
except for it ground plane and asymmetric feeding.The asymmetric-feeding used to provide an orthogonal
component different from its linearly polarized wave. Also, by adding a rectangular slit and a stub on the
ground plane of antenna produce CP wave and to obtain an impedance bandwidth. As per the measured
results, the impedance bandwidth was 6.72 GHz with a return loss of a 10 dB, which covered a range of
2.07-8.79 GHz. The AR-BW was 1 GHz for a 3 dB AR, which covered a range of 4.5-5.5 GHz.The
measured return loss which consists of wide impedance bandwidth of 2.23 GHz to 8.42 GHz.
Design of a Coplanar Integrated Microstrip Antenna for ITS Applications
Divya Ajitrao Jagtap, Vikas U. Deshmukh
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
This paper presents a novel low-profile coplanar microstrip antenna for intelligent transportation system
applications (ITS). Technology has made its way into Intelligent Transportation Systems (ITS) as the
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) paradigms.The geometry consists of
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Square-ring patch antenna and a center-fed square-ring loaded patch antenna. A coplanar simple coaxial-
fed method used in the directional coupled square-ring patch antenna; the square-ring used to load the
center-fed square patch antenna with a vertical linear polarization used for ITS application.
Compact Slot Antenna for Dual-band WLAN Application
Nilima Limbajirao Asabe, Mr.Vikas U. Deshmukh
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
The design of a simple two patch slotted antenna with an offset microstrip feed line is presented as a
candidate for use in 2.4/5.2 GHz wireless local area network, WLAN applications. The first patch has
been designed as a rectangular shape and the other has been designed as an inverted L shape with a
protruding stub. The proposed antenna has been supposed to be printed on an FR4 substrate with a
thickness of 0.8 mm and relative permittivity of 4.6. The resulting antenna has been found to have a
compact size of 25.75x22 mm2. This dual-band resonant behavior makes the proposed antenna covering
many communication services such as ISM, RFID, WLAN and WiFi applications. Modeling and
performance evaluation of the proposed antenna have been carried out using a method of finite integration
technique (FIT) based EM simulator, the CST MICROWAVE STUDIO.
Design of Integrated GSM, Bluetooth UWB Printed Monopole Antenna
Malshikare Barish Balaso, M. M. Jadhav
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
A compact ultra-wideband (UWB) printed monopole antenna with two other bands is presented. The
small size antenna of an Elliptical shaped patch with modified ground plane is designed for covering the
UWB band (3.1-10.6 GHz). To obtain the relatively lower frequency bands, resonating strips called
CLLR (Capacitive Laded Line Resonators) of different lengths for different frequency are embedded on a
ground plane. The proposed antenna is simulated using Computer Simulation Technology (CST) studio
suite. The proposed antenna is fabricated on the FR-4 dielectric substrate. The antenna covers the three
bands of operation i.e. GSM (1.8GHz), Bluetooth (2.4 GHz) and UWB with reflection coefficient < -
10dB. Simulated results are presented, which shows that the antenna has a stable radiation pattern both at
the double and the whole of the UWB bands. The size of the proposed antenna is 30x31 mm. A good
agreement is achieved between simulated and measured results.
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Design of Acoustic Recorder System For Measuring Underwater Signals
Mohite Yuvraj Chandrakant, Mr. Parashuram Arotale
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
As industrial actions continue to grow on the beach, underwater sound measurements are becoming of
abundant scientific importance as they are vital to evaluate the impact of these activities on local
ecologies. In this paper, the use of commercial underwater recorder systems is not always the most
feasible substitute, due to their high cost and lack of elasticity. Design and construction of more
affordable substitutes from scratch can become complex because it requires profound knowledge in areas
such as electronics and low-level programming. With the aim of providing a solution, low-cost alternative
to commercial recorder systems is proposed to build. A properly working prototype will be assembled
and it will be demonstrating adequate performance levels. The underwater recording system can be
successfully deploying at selected locations along the beach, where it adequately recorded animal and
manmade acoustic events, among others
Design of a Coplanar Integrated Microstrip Antenna for ITS Applications
Divya Ajitrao Jagtap, Prof.V.U.Deshmukh
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
This paper presents a novel low-profile co-planar microstrip antenna for intelligent transportation system
applications (ITS). Technology has made its way into Intelligent Transportation Systems (ITS) as the
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) paradigms.The geometry consists of
Square-ring patch antenna and a center-fed square-ring loaded patch antenna. A co-planar simple coaxial-
fed method used in the directional coupled square-ring patch antenna; the square-ring used to load the
center-fed square patch antenna with a vertical linear polarization used for ITS application.
Comparison of Wiener and Kalman Filters for Filtering of Dolphin Signals
Karishma Sopanrao Atole, Dr. Rajveer K. Shastri
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VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
Filtering of signals is highly required in the field of marine acoustics to retain the necessary acoustic
signatures for further analysis. This paper describes applications of Wiener and Kalman filtering for
ambient noise cancellation maintaining dolphin clicks of Irrawaddy fresh water Dolphins. Like any other
deterministic filters, Wiener filter based on the statistical approach of Least Mean Square Error (LMSE)
technique for stationary linear signal and noise. Kalman filter uses time series analysis using Linear
Quadratic Estimation (LQE) algorithm. Comparison of Wiener and Kalman filtering is presented using
the signal to noise ratio (SNR).
Design and analysis of small UWB antenna with band notch characteristics
Pallavi Banshilal Pawar, S.B.Lands,P.K.Kadbe
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
Small, printed rectangular slot antenna for ultra-wideband (UWB) applications is proposed in this article.
In this proposed antenna, inverted T-shaped conductor backed plane used to achieve the UWB coverage
by increasing the impedance bandwidth of the rectangular slot antenna. Then frequency band notched
performance can be achieved by using rotated C-shaped conductor backed plane around the inverted T-
shaped conductor backed plane. Then band width can be controlled by etching inverted T-shape in the
square radiating patch on the top layer. The proposed antenna has a very small size which is 21 mm x
26.8 mm. The antenna has VSWR < 2 for the UWB from 3.0811 to 10.737 GHz except for the band notch
from 5.1429 to 5.9523 GHz for this VSWR > 5.
Evaluation of Daubechies Wavelet For Denoising of Dolphin Clicks
Wable Komal Balaso, Dr. Rajveer Shastri
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
The aim of the paper is to remove of noise from the sound data recorded at Chilika lake to separate
Dolphin clicks. The dynamic underwater channel fluctuations of the shallow tropical waters make the
design of filters extremely complicated for any SNR (Signal to Noise Ratio) enhancement initiative.
Tropical shallow waters typically present poor SNR for any underwater system. It is unable to track the
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changes of signal and noise using the fixed coefficient filter in such applications. DWT (Discrete Wavelet
Transform) is evaluated on ambient noise data recorded at Chilka lake and results of denoising are
calculated by comparing the performance parameters such as SNR and MSE (Mean Square Error).
Beam Formation for Noise Reduction in Acoustic Application
Kashid Pranali Balkrishna, B.H.Patil
VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]
ABSTRACT
It is always important to a noise free communication during the conferences and meetings. Sound Source
Localization and the audio beam formation are the acoustic signal processing techniques implemented for
this purpose. Both these methods deal with the microphone array signal processing to reduce the impact
of noise on the output of receivers and to deliver a clean signal. Audio beam formation along with the
appropriate geometry of microphones in the array combines the incoming signal into a noise free beam of
a signal. The beam formation changes the response pattern of the array so that it provides maximum gain
only in one angular direction which is previously calculated by the sound source localizing part. Thus the
combination of these two techniques can be used to capture the maximum from the speaker and ignoring
the noise in the conference rooms. All this work will be done by using microphone array and MATLAB.
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Microwave Communication
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image enhancement using dual tree complex wavelet transform based image
fusion method
Yadav Alokranjan Sohan, Prof. S.P. Bhosale
A.I.S.S.M.S' COE, PUNE [21]
ABSTRACT
The image fusion technique in image processing is
one of the important applications where many slightly changed
input images are combined and fused image is an improved form
of the applied input images which has improved visual quality
and contains more information content. Wavelet based fusion
technique have been reasonably effective technique in combining
the perceptual important image features. Shift invariance
property of the wavelet transform is important in ensuring the
robust band fusion. The image fusion mechanism for improving
the image quality of medical images using dual tree complex
wavelet transform and NLM filter has been presented.
Index Terms—Image Fusion, Dual tree complex wavelet
transform, shift invariance, multiresolution analysis.
DSRC-Based Vehicle Tracking With Relative Positioning Using Kalman
Filter
Kulkarni Prachi Sunil, Dr.Ms.R.P.Labade
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Kalman sifting was extremely well known in the examination field of route and avionics as a result of its
radiant exact estimation trademark. From that point forward, electrical designers control its focal points to
helpful reason in target following frameworks. Situating and following a vehicle turns out to be
increasingly vital to empower inescapable and setting mindful administration. The broad research has
been performed in physical confinement and legitimate restriction for satellite, GSM and Wi-Fi
correspondence systems where settled reference focuses are thickly conveyed, the situating and following
methods in a thick system have not been all around tended to. That GPS, IMU, and LIDAR information
can beused to produce a high-determination infrared settlement ground delineate can be along these lines
utilized for confinement This venture builds up a technique for vehicular situating. The fundamental
kinematics factors refreshed in each progression are the introduction and relative position of the vehicle.
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A discrete stretched out Kalman channel is utilized to foresee and refresh the conditions of the vehicle
and their instabilities. A few techniques are talked about to refine the area estimation in which the vehicle
utilizes a direct corresponding route law to track the objective. Reproduction of the movement kinematics
of vehicle and the position is performed utilizing MATLAB. It is indicated utilizing numerous
reproduction situations that the vehicle can track and achieve the moving objective effectively.
Peak-To-Average Power Ratio and Bit Error Reduction In OFDM System
Hase Jyoti Gorakhanath, Prof.S.R.Gagare
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Orthogonal frequency division multiplexing (OFDM) is a promising modulation radio access scheme for
next generation wireless communication systems because of its inherent immunity to multipath
interference due to a low symbol rate, the use of a cyclic prefix, and its affinity to different transmission
bandwidth arrangements. OFDM has already been adopted as a radio access scheme for several of the
latest cellular system specifications such as the long-term evolution (LTE) system in the 3GPP (3rd
Generation Partnership Project). Nevertheless, peak-to-average power ratio (PAPR) of OFDM signal is a
significant drawback since it restricts the efficiency of the transmitter. A number of promising approaches
have been proposed & implemented to reduce PAPR with the expense of increase transmit signal power,
bit error rate (BER) & computational complexity and data rate loss, etc. In this paper, a relatively better
scheme of amplitude clipping & filtering operation (ACF) is proposed and implemented which shows the
significant improvement in case of PAPR reduction while increasing slight BER compare to an present
method.
GSM Operated Wireless Sensor Based Mine Security and Safety Approach
Borhade Ganesh Lahanu, Prof.M.B.Kadu
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
As of late, the incessant coal mine security mischances have brought on genuine obstructions and huge
monetary misfortunes. It has given high essentials to avoid the underground complications within the
mines with better improved in the mine security aspects. In this paper, GSM operated Wireless Sensor
(WS) based mine security and safety methodology is presented. Different conditions within the mine have
been considered including mine temperature, humidity, Oxygen monitoring, smoke and CO2 levels and
so on with control actions. All these conditions are monitored and controlled with the use of WS grids.
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Remote hubs are allotted for every sensor so that wireless data transmission alongside telemetry
applications has been carried out.
Vehicle Accident Spotting and Monitoring by Utilizing MEMS Accelerometer
and GPS Tracing
Aher Snehal Arvind, Prof.S.R.Gagare
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Traffic congestion and tidal flow management were recognized as major problems in modern urban areas,
which have caused much uncomfortable for the ambulance. Moreover road accidents in the city have been
nonstop and to bar the loss of life due to the accidents is even more crucial. The main theme behind this
scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying
the expiration. The idea behind this scheme is to implement a ITS which would control mechanically the
traffic lights in the path of the ambulance. The ambulance is controlled by the central unit which furnishes
the most scant route to the ambulance and also controls the traffic light according to the ambulance
location and thus reaching the hospital safely. The server also determines the location of the accident spot
through the sensor systems in the vehicle which encountered the accident and thus the server walks
through the ambulance to the spot. This scheme is fully automated, thus it finds the accident spot, controls
the traffic lights, helping to reach the hospital in time.
Design of Multi Band Rectangular Printed Antenna for GSM, Bluetooth, Wi-
Max and WLAN Applications
Mokal Varsharani H, Prof.S.R.Gagare
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
A multiband rectangular printed antenna fed by coaxial feeding technique is proposed. This design of
antenna is realized by cutting two rectangular shaped slots at appropriate positions at corners of the patch
and also by using optimization of width of the patch, length of the patch and finding the proper position
of coaxial feed point, for getting multiband behavior of antenna. The Proposed antenna is designed using
FR-4 dielectric substrate which has a dielectric constant of 4.4 and loss tangent of 0.02 with dimensions
of 46x38x1.64mm3.The proposed antenna calculations are done for the frequency 2.4GHz.The proposed
antenna simulated and studied using EM simulation software CAD FEKO suite (7.0).This antenna covers
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four bands of operation which includes GSM (1.827 -1.845 GHz ),Bluetooth (2.405-2.469GHz) ,Wi-Max
(3.484-3.541GHz) and WLAN (5.1362 to5.3079GHz) with Return loss≤ -10 dB.The overall
simulation results shows that the antenna gives good impedance matching at desired frequencies with
VSWR
Design of Encrypted SDR and Analysis of Noise in High Level System
Architecture using MATLAB
Shrikant J. Upase, Dr.R.P.Labade
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Software defined radio (SDR) allows the unparalleled levels of flexibility by transitioning the radio
communication system from hardware platform to a more user-friendly software model. The aim of this
project is to design and implement a software defined radio based wireless communication system using
MATLAB. Software defined radio is a feasible solution for reconfigurable radios, which can carry out
distinctive functions at different times on the same hardware. The baseband area of a remote
communication system is first simulated and then implemented in program. The implementation of the
baseband transmitter is analyzed utilizing constellation and eye diagrams for different modulation
techniques and different signal-to noise ratios, while considering an additive white Guassian noise
channel. The execution of the receiver is analyzed by comparing the input and yield waveforms. The
performance of the system in real time is also analyzed by implementing the system in MATLAB. The
simulation results with the results obtained from adding Gaussian Noise in the channel of the system in
the form of system error rate are calculated. It is expected that the simulation results of the system error
rate will be minimum in High Level system architecture. Apart from this the parameters like encoder and
decoder will make an optimum solution with minimum noise in transmission for software define radio.
To avoid the noise, we have to adjust various parameter like frequency, width, delay, bandwidth etc.
accordingly we will compare the result with existing system and proposed system with encoder. We
expect the minimum noise level as compared to normal.
DESIGN AND ANALYSIS OF OPEN LOOP MIMO COMMUNICATON
FOR TEMPORARY CORRELATED CHANNELS USING MATLAB
Swati Vaidya, Prof.M.B.Kadu
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
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MIMO has been discovering its way into quickly developing markets, for example, proficient
communicate video, law authorization, and government segments because of more current eras of littler,
better performing radio arrangements and reception apparatus plans that bolster MIMO innovation. With
the transmission capacity prerequisites that today's video, sound, and information frameworks request,
MIMO is frequently a perfect answer for correspondence particularly urban conditions where clear line-of
- site is harder to accomplish and the plenitude RF/microwave frameworks that can posture impedance
issues. It gives a multi-layer transmission of correspondence signs.
Presently codebooks are gotten by this technique and their execution is appeared to outflank past
condition of-workmanship arrangements. Truth be told, for some specific arrangements, these new star
groupings achieve the Rankin bound and are hence provably ideal. The proposal additionally contains
new hypothetical outcomes on the limit (common data) of numerous radio wire remote connections in the
low SNR administration. The effect of channel and clamor relationship on the common data is acquired
for the on and Gaussian flagging. The primary conclusion is that common data is boosted when both the
transmit and get recieving wires are completely corresponded. The examination of correspondence in
various information diverse yield (MIMO) for open circle transmission remote systems .The sensible and
testing non-clear setup (channel state information is truant at the beneficiary) is considered. A summed up
likelihood extent test (GLRT)- like discoverer is normal at the gatherer and contrary to most existing
procedures, a subjective relationship structure is considered the additional substance Gaussian
discernment hullabaloo. A theoretical examination of the probability of error is surmised, for both the
high and low banner to-bustle extent (SNR). The purpose of this wander is to focus the understandable
and non sensible area methodology, MIMO, some non clarity disclosure technique as grassmannian signs,
STBC, Temporal association et cetera by think the various procedures like discoverer at authority side
and a self-emphatic relationship structure is for evaluating included substance Gaussian clatter,
probability of mix up for both anomalous state SNR, low level SNR. Moreover we evaluate how to
register and survey parameters, for instance, SNR, FER, FRR, JITTER, DELAY, association amongst
channels etc.
Design of Multiband Antenna for Wireless Communication Applications
Yogesh Nawale, Dr.R.P.Labade
AMRUTVAHINI COE, SANGAMNER - [010]
ABSTRACT
Design and investigation of Micrrotrip antenna for multiband operation has been suggested. Designed
multiband monopole antenna working over GSM 800 MHz, Digital Communication System (DCS) 1800
MHz, 3G-2100 MHz and 4G-2300 MHz band applications has been represented. Designed antenna has
size of 121mm x 111 mm and has been simulated over the CADFEKO EM Simulation tool. Proposed
antenna has been simulated against frequency range of 0.5 GHz to 2.5 GHz operating region. Simulated
antenna shows
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Energy Harvesting in cognitive radio network for secure communication
Manoj G. Aher, Dr. S. K. Moon
P.I.C.T. PUNE 43 [5]
ABSTRACT
In this paper, we propose multiuser communication system for cognitive radio network. In this network,
secondary users are capable to collect energy from radio frequencies when they are inactive. In proposed
multiuser communication system design, we focus on system objective such as maximization of
efficiency in energy harvesting. Numerical results demonstrate excellent performance of the proposed
multiuser communication design system in terms of total harvested power.
Index Terms : Cognitive radio (CR), Energy Harvesting(EH)
Design of circular shaped fractal antenna for cellular communication
Rutuja Chopade, D.M.Shinde
P.I.C.T. PUNE 43 [5]
ABSTRACT
Fractal structures are used by the antenna designers so as to obtain the compactness with better efficiency.
In this paper, fractal antenna is designed based on Sierpinski model. The number of iterations carried out
are three. With the increase in iterations the performance parameters obtained were enhanced. The
antenna has been developed to target the application as of mobile phones. For designing antenna, FR4
substrate is used which have dielectric constant of value 4.4. The position of coaxial feed is optimized to
get proper impedance which is nearly about 50 ohm. The designed fractal antenna is low profile, compact
in size and it can be used in cellular communication.
Study and modeling behaviour of smart material
Sweta Anil Javalekar, Dr. M.V. Munot
P.I.C.T. PUNE 43 [5]
ABSTRACT
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Shape Memory Alloys (SMA) are serving seamlessly to various domains of science and engineering since
1965. Few of the most popular applications are as actuators in robotics, adaptive nozzle of aircraft in
aerospace and stents, braces, etc in biomedical. In all of these applications, the type of excitation and
excitation duration plays a very crucial role, in proper expected functioning of the material and system.
As the material is excited, temperature profile of the material changes and behavior of the material is
highly temperature dependent. Hence, the thermal behavior of the Nickel-Titanium (NiTi) shape memory
alloy wire is mathematically modeled in Matlab and its response to various excitations such as triangular,
square and sine wave is observed. Due to variations in responses to different excitations, the results of this
model can be used to decide the type of excitation, to obtain a desired response according to the
application.
Design of circularly polarized slot patch antenna for c-band applications
Jyoti Singhal, M. P Turuk
P.I.C.T. PUNE 43 [5]
ABSTRACT
The construction of the Circularly Polarized (CP) antenna becoming more and more popular. This paper
describes design and simulation aspects of circularly polarized slot patch antenna with micro-strip feed-
line for C-band applications. C-band have frequency ranges (4-8) GHz that are used for many satellite
communications transmissions, some Wi-Fi devices, and cordless telephone. The 3dB axial ratio (AR)
can be produced by introducing a rectangular stub from the ground plane towards the square shaped slot.
Results from simulation are observed by An-soft HFSS version13 software in terms of Return loss,
VSWR, Axial ratio and radiation patterns. Simulated results show that the antenna attains an S11
Energy efficient Power allocation in Cognitive Radio Network
Diksha R. Lad, P. S. Varade
P.I.C.T. PUNE 43 [5]
ABSTRACT
Due to vigorous increasing demands of high-data rate cause large energy consumption in wireless
network. But due to limited energy resource there is problem to fulfill the demands of high data rate.
Therefore it is necessary to do energy effective communications. The raising generation demands
regarding wireless services have made insufficient radio-frequency spectrum more cramped. To solve this
problem, cognitive radio becomes a bright solution to do effective utilization of radio frequency spectrum
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because it has capability to sense surrounding environment and change transmission parameters
accordingly.
Main objective of this paper is to study and implement energy effective power allocation strategies in
cognitive radio networks under quality of service requirements. In this paper, first introduction of co-
operative spectrum sharing network and framework is given. Then greedy algorithm for joint power
allocation and relay selection problem is proposed.
Implementation of Energy Efficient Multiple antenna System and Its
Performance Evaluation
Payal A. Mangale, Dr. Y. Ravinder
P.I.C.T. PUNE 43 [5]
ABSTRACT
Multiple-Input-Multiple-Output Antenna (MIMO) systems have attracted more exploration since it has
the capability to improve System performance in terms of higher data rates and lower Bit-error-rates. It
also consists of more Transmitting and receiving antennas with a large number of RF chains for signal
processing consuming more power. In this context, with reference to the Implemented 2x2 MIMO system
using LABVIEW and USRP, we analyze the overall energy consumption required to transmit a bit over
transmission distance. The overall energy consumed by the system is a function of two parameters such as
transmission energy consumption and circuit energy consumption. Thus, we have shown that energy
consumption for QAM system is minimized by reducing the transmission time at maximum system
bandwidth. The Performance of the system in terms of probability of error bound, energy efficiency, the
spectral efficiency with reference to the conventional system has been observed using MATLAB.
Robust watermarking Technique for content protection in Video data
Mohd Ziviquar Rehman, M.A.Gangarde
P.I.C.T. PUNE 43 [5]
ABSTRACT
In recent years, popularity has been much grown among the multimedia based application and there is a
need to protect the video data against the copyright. Video watermarking techniques plays vital role in the
protection and the security of multimedia which is prone to different noise and various attacks. Various
watermarking schemes are developed to ensure the security of the data in spatial as well as transform
domain. A watermarking scheme based on spatial domain is introduced. The method includes the use
location of the pixels of watermark relating to the video information in order to improve the robustness of
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video data. The proposed scheme is highly imperceptible and the performance is tested under different
attacks.
Noninvasive technique for evaluation of fruit using microwave technique
Vishal Ganesh Padwal, Dr. S. V. Gaikwad
P.I.C.T. PUNE 43 [5]
ABSTRACT
Fruits are the most important part of human’s diet. Quality testing of the fruit is also critical task in
commercial market. It is more preferred to check quality of the fruit by non-invasive method using
microwave technique. In this paper, quality checking of the fruit is considered in terms of ripened or
rotten. In this proposed method, transmitting and receiving antennas are used. Fruit is kept in the far field
of transmitter antenna and near field of receiving antenna. Both transmitter and receiver antennas are
designed and simulated for 2.45GHz frequency and are passed through the fruit. The variations in
received power observed due to changes in ϵ´ (permittivity) and ϵ´´ (loss factor) of the respective
fruit material kept for evaluation. A simulated result shows that microwave technique is useful to check
the quality of the fruit by non-invasive method.
Analysis and Reduction of specific absorption rate of microstrip patch
antenna
Pallak Gupta, V.Y Deo
P.I.C.T. PUNE 43 [5]
ABSTRACT
Analysis of Specific Absorption Rate for microstrip patch antennas (rectangular and circular) which can
be used for mobile application is given in this paper. For the given antennas one uses FR4 substrate
(height 1.6mm and ε 4.3) and the other uses RT Duroid 5880(height 2.56 and ε 2.2). The microstrip
patch antenna (rectangular) is designed with a rectangular slot and microstrip patch antenna (circular) is
designed with circular slot. The return loss of antenna is calculated with and without head model. Head
model is used to calculate the SAR at different frequencies. The calculation of SAR is done by placing
antenna next to ear of head model. The SAR is calculated for 1g of tissue and for 10g of tissue.
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Robust Signal Classification in Cognitive Radio Networks based on Machine
Learning Technique
Sanjog S. Shah, R. G. Yelalwar
P.I.C.T. PUNE 43 [5]
ABSTRACT
In wireless communication, spectrum occupancy is one of the major challenge. To perform all the task in
wireless communication intelligently, Cognitive Radio (CR) is used. With the help of machine learning
techniques, performance of CR will increased. In this paper, implementation of spectrum sensing (SS) in
cognitive radio network (CRN) is presented. To check the availability of spectrum, the supervised
machine learning (ML) is used. Support Vector Machine (SVM) is one of the powerful ML technique for
classification as well as data mining. So the SVM method with its kernel function is proposed. The
system is simulated in matlab. The Additive White Gaussian Noise (AWGN) is consider throughout the
paper.
Manned Maneuvering Unit Simulator (Reduced Gravity Simulator)
Sharma Sumeet Sunil, Dr. A. P. Dhande
P.I.C.T. PUNE 43 [5]
ABSTRACT
Space research is taking boom in developed and developing countries at a greater pace. Many astronauts
are being trained in International space centre for carrying out various space activities. Prior to
International space centers astronauts are trained on ground using space gravity simulators. Countries like
India lack these space simulators due to their high cost. In this paper a novel approach to reduced gravity
simulator is given which can be used by to train students. It is a low cost simulator which uses counter
weight forces and Electric motor drives for operation.
Design of Slit Loaded Textile Microstrip Antenna
Sulakhe Shamali Mukund, Dr. R. Sreemathy
P.I.C.T. PUNE 43 [5]
ABSTRACT
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The growth of wireless body area networks has introduced wearable antennas and devices. Textile
antenna is a type of wearable antenna which uses textile material for its substrate and/or patch. It is used
in body worn applications such as in healthcare, military and space communication. In case of wearable
antennas, circularly polarized radiation is required as the orientation of antenna gets changed due to
movement of body. This can be achieved by inserting slits in the periphery of the patch. The project deals
with introduction of slits on textile antennas and compares their performance. Four types of textile
antennas: without slits, with truncated corners, V-shaped slits and square shaped slits are designed using
FEM based software HFSS 13.0. It is observed that insertion of slits changes the resonant frequency of
the antenna and achieves circular polarization. The designed antennas give optimum performance in terms
of return loss, VSWR and gain.
Design and Simulation of a Power Efficient High speed Analog to Digital
Converter using Carbon Nano tube Field Effect Transister
Aonkar Taklikar, Dr. S. S. Narkhade
P.I.C.T. PUNE 43 [5]
ABSTRACT
A power efficient 4 bit sample-and-hold less pipelined ADC is presented for high speed applications. The
architecture is designed using 32nm CNFET model in Hspice and simulation is carried out at 10 GSPS
sampling rate. From the simulation results, the SNDR is found out to be 25.3dB at nyquist frequency and
the ENOB lies between 3.6 and 3.9 from 0.25GHz to 5GHz. The power consumed is 1.76 mW for a
supply voltage of 1.4V and FoM is 26.16 fJ/step.
Design and Implementation of Slot Patch antenna with dual band and dual
polaraization for ISM band
Ankita Turkel, A.M. Kulkarni
P.I.C.T. PUNE 43 [5]
ABSTRACT
Wireless technology is booming extensively, which has fuelled a new dimension to this field. Antennas
are an indispensable part of wireless communication and modern society. The paper will be categorized in
three main antenna designs. The first is the design of circular patch antenna which resonates at the
frequency of 2.45 GHz and the second antenna is the design of circular patch antenna which is operates at
5.8 GHz. The third sub-part is to design a dual band patch antenna operating simultaneously at both 2.45
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and 5.8 GHz. Modeling, designing and simulation of all three antenna design with coaxial feeding
technique with FR-4 as the substrate having dielectric constant of 4.4. The application includes Wi-Fi at
2.45 GHz and WLAN at 5.8 GHz center frequency.
Capacity Enhancement of Cognitive Relay Network with Interference
Management
Akanksha Baban Wabale, Dr.R.C.Jaiswal
P.I.C.T. PUNE 43 [5]
ABSTRACT
This paper considers resource allocation in cognitive relay network for an orthogonal frequency-division
multiplexing (OFDM) environment. The objective is to maximize the capacity of the cognitive relay
system by increasing transmission rate of the secondary users but with the constraint that the interference
introduced to primary users must be less than predefined threshold, so that primary can work
satisfactorily. To maximize transmission rate both the important parameters such as power allocation and
subcarrier pairing are considered jointly. Genetic algorithm (GA) approach for proper maximum power
and subcarrier pairing is adopted which deals jointly with power allocation and subcarrier pairing in order
to improve the overall transmission rate of the system. Simulation shows that this algorithm works more
effectively compared to some previous representative works.
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Signal Processing
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Moving Object Surveillance and Analysis of Camera based security systems
Deshmukh Gauri Arvind, Prof. Manasi Pathade
CUMMINS COE, PUNE [20]
ABSTRACT
Surveillance systems help in detecting suspicious activities and extend the perception and reasoning
capabilities. Automated surveillance is of pivotal importance in public places which has large extent of
dynamics to be addressed. This paper attempts to propose an algorithm to analyze and classify the type of
motion in situation of moving objects. The analysis is based on computation of mid level features of
optical flow and corners and texture analysis of video sequence. Nearest neighbor classification is used to
classify the motion into predefined classes. The algorithm is tested on standard PETS database.
Performance of the algorithm is evaluated by computing sensitivity.
Human emotion recognition from EEG signals using multiclass support vector
machine
Behele Ketaki Dattatray, Dr. Anita Patil
CUMMINS COE, PUNE [20]
ABSTRACT
Emotion recognition plays a very important role in establishing brain computer interface. Emotion
recognition can be done by analyzing speech signal or facial expressions. The main drawback of these
modes is that they are not reliable indicators of emotion, because it is possible to fake these modes. In this
paper Electroencephalography (EEG) is used. EEG proves to be more reliable method as it cannot be
altered by the user. EEG signal is generated from the central nervous system and cannot be faked. The
proposed method consists of four steps, viz., data acquisition, pre-processing, feature extraction and
classification. Emotions are invoked by using audio visual stimuli. EEG signal is captured for four
emotions viz. happy, sad, angry and neutral using power lab instrument by ADInsruments. The recorded
EEG signal is then filtered using band pass filter with cutoff frequencies of 3Hz and 30Hz. Discrete
Wavelet Transform is applied to the filtered data and then statistical features are extracted. Multiclass
Support Vector Machine is employed to classify EEG signals into different emotion classes.
Applying BCO algorithm to cognitive cellular network for evaluating SINR
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Tupe Komal Sanjay, Dr.Sharada Ohatkar
CUMMINS COE, PUNE [20]
ABSTRACT
To complete the requirement of cellular user request and to improve the channel allocation, cognitive
cellular network (CCN) is taken into consideration. CCN involves the primary (cellular) and secondary
(cognitive) users in which secondary users try to put up in primary user band which causes interference
,and which causes the reduction in signal to noise plus interference ratio(SINR). Bacterial colony
optimization algorithm is the population based optimization techniques that are applied in CCN to
evaluate the SINR .
Object detection, tracking and classification in thermal video sequences
Tambe Ruchi Kailas, Supriya Mangale
CUMMINS COE, PUNE [20]
ABSTRACT
This paper gives new way to perform target detection as well as tracking for single and multiple moving
objects in thermal video sequences. The extracted regions are used for performing the segmentation of
targets in thermal videos. In projected method first, Directed Acyclic Graph (DAG) in the form of layers
is used for segmentation in thermal videos. Second, to enlarge the set of target proposals, DAG is
initialized with an incremented object proposal set in which, from adjacent frames motion based
predictions are used. Last, in this paper for selection of the specific object motion scoring function is
used, which is having high optical flow gradient between the edges of the object and background is
presented. After segmentation of object, centroid based object tracking is performed to track the objects in
thermal videos.
License plate identification of fast moving vehicles
Bolaj Namrata Sanjay, Prof. G. R. Padalkar
CUMMINS COE, PUNE [20]
ABSTRACT
License plate number is the unique character of the vehicle identification. In the case of hit and run, the
license plate recognition is the key measure. The snapshot of the license plate captured by the surveillance
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cameras are suffering from the blurring effect and it cannot be easily recognized by the human eye. Such
license plates have low resolution and have lost the edge information hence it is difficult to recognize and
it becomes the challenging task for the researcher to deblurring the images.
In this work, the novel kernel parameter estimation algorithm has been proposed for deblurring the license
plate of the fast moving vehicle. Firstly, the image is estimated by sparse representation. On the sparse
representation, the angle is calculated based on the genuine motion angle and length of the motion kernel
is calculated by radon transform in the frequency domain
Soft Computing Based Intrusion Detection System
Ukarande Rajashwini Bhanudas, Dr. Mrudul Dixit
CUMMINS COE, PUNE [20]
ABSTRACT
Intrusion Detection System (IDS) are actively used to identify any unusual activities in a network. To
improve the effectiveness of IDS, security experts have embedded their extensive knowledge with the use
of fuzzy logic, neuro-fuzzy, neural network and other such AI techniques. This article presents an
intrusion detection system in network, based on fuzzy logic, neural network and neuro-fuzzy techniques.
The proposed system is evaluated using the KDD Cup 99 dataset. The fuzzy system detects the intrusion
behavior of the network using the defined set of rules. The neural network trains the network based on the
input and uses the trained system to predict the output. Whereas, neuro-fuzzy uses a combination of both
the above methods to detect the incoming data as normal or an attack. For the system to work with
maximum accuracy, the True Positive Rate and True Negative Rate should be as high as possible, with
good precision in attack detection.
Implementation of a video stabilization algorithm for surveillance system
Kawade Harshada Dilip, Dr. Ashwini Deshpande
CUMMINS COE, PUNE [20]
ABSTRACT
Aerial video surveillance plays important role in gathering the information for the public as well as
military applications. Now a day's cameras used for the capturing video are of high quality, but because of
the unintentional movement of cameras, the video gets unstabilized. The unstabilization produces
shakiness in the video. The main aim of the video stabilization is to remove the unintentional motion and
shakiness in the videos and preserve the desired motion.
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In this approach, speeded up robust features (SURF) and scale-invariant feature transform (SIFT)
methods are used to detect and match the interested features points. The outliers and noise are removed by
using RANSAC, while affine transform is used to estimate the motion of the interested points. Finally, the
video gets stabilized by compensating the global motion points obtained by the affine transform. This
approach for video stabilization shows promising results using SURF and SIFTS algorithms.
Return Loss, Bandwidth, Gain and VSWR Enhancement of Microstrip Patch
Antenna using DGS
Belekar Vrishali Mahesh, Dr. Prachi Mukherji
CUMMINS COE, PUNE [20]
ABSTRACT
Microstrip Patch Antenna (MPA) is used on a wide scale due to its physical simplicity and low cost but a
drawback of this kind of antenna is its narrow bandwidth which sometimes confines its use in different
applications. As a solution, two designs of an improved rectangular MPA with enhanced parameters are
proposed in this paper. One of the proposed designs has a simple rectangular slot on ground surface while
the other design has polygonal slots/defects. These slots on the ground surface are nothing but the
Defected Ground Structure (DGS). To improve the working efficiency of the proposed antennas,
optimization of the antenna design parameters has been carried out using High Frequency Structural
Simulator (HFSS) software.
Person detection in indoor environment using Deep Convolutional Neural
Network
Jadhav Jayshree Shivaji, Sandhya Potadar
CUMMINS COE, PUNE [20]
ABSTRACT
Person detection is a popular research topic due to its huge importance in computer vision research and
artificial intelligence. It is very important in modern world for fast video surveillance. It has number of
practical applications, in the fields of robotics, video surveillance, autonomous driving, and automotive
safety. Despite the significant improvements, human detection is still a challenging problem due to the
tremendous variations in illumination, clothing, color, scale, and pose. In the recent years, deep learning
and convolutional neural networks have come out as the state of the art in terms of accuracy for a number
of tasks in computer vision such as image classification, segmentation and object detection. Human
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detection can be considered as a classification problem involving only two classes that is a person and
background. In this paper, we propose a person detection system based on deep learning, adapting a
general purpose deep convolutional neural network (DCNN) to the task at hand. Openly available
PIROPO dataset is used for evaluating the results using caffe framework for CNN.
Performance analysis of Index-Modulation based OFDM system for
multipath channel
Dugad Payal Pravin, Prof. A. R. Khedkar
CUMMINS COE, PUNE [20]
ABSTRACT
Wireless communication is one of the important, reliable and fast growing fields of the communication
domain. Among them, mobile communication is one of the widely used technique, but this there are many
disadvantages which is to be overcome like interference, shadowing, loss in propagation path etc. The
demand for large capacity with good quality services, well define OFDM plays the important role as it is
the precious option for large bandwidth data transmission capability by converting wideband to
narrowband signal transmission. But this technique produces orthogonal carrier along with narrow band
signal and required more transmission power. The OFDM techniques also having the problem of inter
Carrier Interference (ICI) and Inter Symbol Interference (ISI) and Doppler shift.
Speech seperation using deep stacking network
Rajkunthwar Pooja Pandharinath, Prof. J. A. Mokashi
CUMMINS COE, PUNE [20]
ABSTRACT
In audio processing ,the algorithm which work very robustly in presence of noise gaining
more importance. Speech segregation in noisy medium is considered critical difficulty to solve. If pitch
information is available, then it will be easier to extract clean data from distorted background. This
paper will provide machine learning approach for segregation process. This technique is based on deep
Stacking Architecture which is used as classifier .DSN consist of number of modules and for each
module input is frame-level elements and previous module output and output based is ideal binary
mask. Framelevel elements are combination of element based on pitch and spectral elements. During
testing stage, pitch based elements are modified using segregation output for next module. The pitch
and IBM updated several times to obtain speech segregation results. To obtain high quality segregation
results estimated binary mask and pitch evaluation must be performed accurately.
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Keywords— IBM; DSN; frame-level elements
Integrated information mining for image retrieval in remote sensing
Patil Shivani Uttam, Dr.Reena Kulshrestha
CUMMINS COE, PUNE [20]
ABSTRACT
With different type of satellite and sensors, high resolution remote sensing images are generated in high
volume. There is a requirement of effective computer system to manage scanning, searching and
retrieving images. This paper suggests a three layered image retrieval approach. In the first layer, image
features are extracted by using local and holistic feature extraction method. In the second layer from two
lists of local and holistic features top ranked and common images are used to find out graph anchors. By
using these graph anchors, reranking process is done to obtain new image lists. Last, third layer regression
based SVR fusion method is used to retrieve images similar to a query image. Accuracy of image
retrieved is calculated which shows that images similar to query image are retrieved with great precision.
EEG Signal Classification using Frequency Band Analysis towards Epileptic
Seizure Detection.
Ranade Pooja Ulhas, Prof.Ratnaprabha Borhade
CUMMINS COE, PUNE [20]
ABSTRACT
Electroencephalogram (EEG) is recording of electrical action of the brain which can be utilized to
identify Epileptic Seizures. Gathering of Neurons when failing produce abnormal electrical release which
produces seizure. Epilepsy is propensity to have recurrent and unjustifiable seizure. It is normal brain
issue that affects around 1% of the total populace. A wavelet based fluffy approximate entropy (fApEn)
technique is exhibited for the grouping of electroencephalogram (EEG) signs into healthy /interictal
versus ictal EEGs. Discrete wavelet transform is utilized to deteriorate the EEG signals into various sub
groups. The fuzzy approximate entropy of various sub-groups is utilized as highlight vector for the
classifier. In this work it is watched that the quantitative estimation of fuzzy approximate entropy drops
amid the ictal period which demonstrates that the epileptic EEG signal is more requested than the EEG
signal of a typical subject. The fApEn estimations of various sub-groups of the considerable number of
informational indexes are utilized to shape highlight vectors and these vectors are utilized as contributions
to Convolutional Neural Network (CNN) classifier. The fApEn highlight of various sub-groups (D1-D5,
A5) and classifiers is wanted to effectively separate between three sorts of EEGs. It is uncovered that the
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most elevated arrangement than before results distributed. The outcomes are talked about very in detail
towards the last segment of the present paper.
No entry Vehicle detection and moving object tracking by mean shift
algorithm
Mahajan Priya Kisan, Prof.Mugdha Dewasthale
CUMMINS COE, PUNE [20]
ABSTRACT
Mean-Shift algorithm is the popular approach to track the objects. In standard object tracking algorithm
based on Mean Shift, tracking window is fixed due to which object tracking fails if object is changed in
the size. To overcome this problem, this paper proposes the robust approach to increase tracking potential
of the standard Mean-Shift algorithm. Firstly, this algorithm check the change in size of object then finds
the size of kernel-bandwidth (tracking window). Accordingly adjusts the kernel-bandwidth of the Mean
Shift. At the end, an object can be located accurately with proper kernel-bandwidth. The experimental
results show the proposed algorithm can improve the tracking ability of the standard Mean Shift
algorithm robustly when there is change in the size of object and it is capable of adapting to the changing
size of the tracking object.
Recognition of emotion in music using SVR based double-scale regression
Gaikwad Yogita Sadashiv, Dr.Bageshree Pathak
CUMMINS COE, PUNE [20]
ABSTRACT
Dynamic music feeling prediction is to perceive the continuous feeling contained in music, and has
different applications. As of late, dynamic music feeling recognition is broadly contemplated, while
within structure of the feeling in music stays unclear. We lead an information observation in light of the
database which we generated manually, and find that feeling dynamic shows diverse properties under
various scales. As indicated by the information perception, we propose another strategy, Double-scale
Support Vector Regression (DS-SVR), to powerfully perceive the music feeling. The new strategy
decouples two sizes of feeling flow separated, and remembers them independently. We apply the DS-
SVR to Emotion in Music database, and accomplish an out-standing execution, altogether superior to
anything.
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Analysis of signal Processing of GPR for Soil Parameters Measurement
Oimbe Prakash Sonal, Prof. S. L. Sahare
CUMMINS COE, PUNE [20]
ABSTRACT
Ground Penetrating Radar (GPR) is a geo-sensor, which is used for detecting, locating, identifying and
3D imaging of the buried target inside the shallow surface. It is very difficult to detect and locate the
target when limited amount of information is delivered by geo-sensor. On the basis of scattering
parameter we try to extract information (related to feature of surface and target) as many as possible.
Geometrical modeling of ground and target, as well as mathematical modeling for transmitting and
receiving signal are the key factor in the field of GPR research.
Receiving signal is nothing but the scaled version of transmitting signal which is affected by noise.
So for mathematical modeling of receiving signal scaling parameter and noise plays a vital role. Where as
in signal processing domain time and frequency are the observation parameter. In signal processing cross
correlation, windowing technique and time domain gating are the excellent features, which help in delay
measurement, for suppression of an unwanted frequency and for extracting the time domain information
of GPR signal at any specified duration. SFCW technique is a modern technique which is more applicable
in GPR comparison to conventional FMCW technique. This technique can be operated at low power and
license free band (ISM band).
Detection of any materialistic things becomes difficult if it has dielectric nature. If electrical
parameter like permittivity, Permeability, Conductivity of target has similar value like environment then it
becomes too difficult to detect the target. Shallow surface analysis has become an emerging field of an
area of research because installed materialistic things, surface under the railway track, landmines are not
placed at very high depth. To study the shallow surface and for locating, identifying and 3D imaging of
the buried target, a technique came called as ground penetration radar (GPR). Apart from above
application there is also another area, like tunnel detection, dead body detection etc., where GPR is being
utilized. Basically in GPR EM wave strikes to the target and returned back to the receiver, on the basis of
reflected signal we find the various parameter of ground and feature of target. There is another technique
called as bore-hole technique where we find the ground parameter for higher depth but it is a too
expansive method.
Real time Home automation with security using pic microcontroller
Bennur Nalina Nagappa, Dr. V N Nitnaware
D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]
ABSTRACT
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Abstract— With advancement of technology things are becoming simpler and easier for us. Automation
is the use of control systems and information technologies to reduce the need for human work in the
production of goods and services. In the scope of industrialization, automation is a step beyond
mechanization. Whereas mechanization provided human operators with machinery to assist them with the
muscular requirements of work, automation greatly decreases the need for human sensory and mental
requirements as well. Automation plays an increasingly important role in the world economy and in daily
experience. Automatic systems are being preferred over manual system. Through this project we have
tried to show automatic control of a house as a result of which power is saved to some extent. The GSM
module is used to communicate with the owner of the home whenever the sensor senses a fault, a specific
message is sent to the owner in order to take a necessary action.
“A Reconfigurable Smart Sensor Interface for Mass Processing of WSN in
IoT Environment ―
Kinhikar Pratik Gajanan, Dr V N Nitnaware
D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]
ABSTRACT
A sensor interface device is essential for sensor data collection of industrial wireless
sensor networks (WSN) in IoT environments. However, the current connect number,
sampling rate, and signal types of sensors are generally restricted by the device.
Meanwhile, in the Internet of Things (IoT) environment, each sensor connected to the
device is required to write complicated and cumbersome data collection program code. In
this paper, to solve these problems, a new method is proposed to design a reconfigurable
smart sensor interface for industrial WSN in IoT environment, in which Field
Programmable Gate Array (FPGA) is adopted as the core controller. Thus, it can read
data in parallel and in real time with high speed on multiple different sensor data.. It
comprehensively stipulates the smart sensor hardware and software design framework
and relevant interface protocol to realize the intelligent acquisition for common sensors.
A new solution is provided for the traditional sensor data acquisitions. The device is
combined with the newest FPGA programmable technology and the fast and accurate
data acquisition form intelligent sensor specification. Performance of the proposed
system is verified and good effects are achieved in practical application of IoT to water
environment monitoring.
Automatic monitor and control system for mushroom plant using PLC
Watkar Neena Subhash, Prof. N A Dawande
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D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]
ABSTRACT
:Automation and innovation havea close and conjoined relationship with environmental science
development. In a rapidly evolving age, the concept of automation has gained significant importance. For
instance, to improve the conditions and cultivation of crops under Greenhouse many research projects
have been concluded. Some such projects relate to the mass cultivation of mushrooms,and areindependent
of geographic location or time of the year. The performance and productivity of the mushroom-
productionplant, is criticallydependent on the information management infrastructure from the
environment. The key objective of this research paper is to propose the design of sensor-based automated
monitoring and controlling system for a mushroom-production plant,which can manage endto-end input
to output cycle with minimal to no human intervention.The system consists of sensors, and PLC&PID
controller as its fundamental constituents. By using the output signals from various sensors,PLC will help
in maintaining the appropriate conditions conducive to the growth of mushrooms or any other plants. A
PLC-based circuit will play a key role in monitoring and recording the continuously changing values of
various parameters like temperature, humidity, soil moisture, sunlight, etc. The circuit will also control
these parametersto optimize them for better plant growth and maximum yield. The objective of this
design is to tune the control parameters by means of evolutionary computation and to minimize the error.
This makes the complete system an economical, convenient, andlow-maintenancesolution for cultivation
of agricultural products across rural areas in general, and for small scale agriculturists in particular.
Wi MAX Deinter leaver’s Address Generation Unit through FPGA
Implementation
Kulkarni Rasika Ramchandra, Prof Priti Rajput
D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]
ABSTRACT
The IEEE 802.16 standard, commonly known as WiMAX has broadband wirelessaccess over long
distance. WiMAX has evolved from 802.16 to 802.16d for fixedwireless access and IEEE 802.16e
standard is for mobility support. WiMAX Forumcreated the name "WiMAX". The forum describes
WiMAX as "a standards-based technology enabling the delivery of last mile wireless broadband
access as an alternative to cable and DSL". WiMAX is similar to Wi-Fi, but it can enable usage at
much larger scale and at faster speeds [1]. Inorder to minimize the effect of burst error, the channel
interleaver/deinterleaver employed in the WiMAX transreceiver is used. The channel
interleaver/deinterleaver consists of two memory blocks and an address generator. The objective of
this project is to implement an area and delay efficient circuitry for address generator for WiMAX 2-
D Deinterleaver using the Xilinx FPGA for all permissible code rates and modulation schemes. This
project also build up a generalized circuit for all permissible Ncbps without manual computation of
column number.
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Keywords: Digital circuits, error correction, field programmable gate arrays (FPGAs), wireless
systems.
Diagnosis of Diabetic Retinopathy and Detection of Optical Disc in Fundus
Images
Madale Gayatri Malasiddha, Dr. B. R. Jadhwar
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
Presently a days diabetic retinopathy (DR) has turned out to be not kidding dieses among diabetic patients
. It would recognize at the early stage else it will causes to aggregate visual impairment .The paper
proposes to programmed ID of exudates pathologies in retinopathy fundus pictures a novel strategy is
computational insight method. To concentrate components of fundus picture like vessels , red sores and
white sores together with surface element examination utilizes the remarkable execution of morphological
administrators.
Design And Analysis of Miniaturized Half Hexagonal Patch Array Antenna
Lahamge Shital Mangesh, Prof. Dhede V. M.
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
In this paper, a miniaturized half hexagonal patch array antenna is proposed and investigated. A full
hexagonal antenna with microstrip feed is designed as a reference antenna and optimized for its
broadband behavior. First, the miniaturization is investigated by bisecting the reference antenna through
its symmetry plane. The high gain behavior with further miniaturization is achieved by scaling down the
bisected antenna. The proposed antenna is 50%.further to increase the efficiency of the patch antenna
array techniques is used. The antenna has been designed on FR4 substrate dielectric constant 4.4 and
thickness h=1.53 mm & its dimension is 58.0 mm × 57.0 mm × 1.6 mm. The proposed antenna
exhibits 30MHz impedance bandwidth from (2.46-2.49GHz). The proposed antenna has a compact size
and exhibits high gain behavior, good radiation characteristics, and directivity is around 6.0 dBi.The
radiation pattern, return loss, VSWR and gain of the proposed antenna are described and simulated using
the HFSS software package.
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walsh pattern generator using programmable devices
Shinde Navnath Dnyaneshwar, Prof. Dhede Vaishali
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
A circuit to control certain System parameters, through Monitor and Control Modules in the Radio
telescope receiver chain is being developed. This report describes in detail the circuit design and
implementation. An introduction to Walsh functions is given and an efficient method of Walsh pattern
generation has been described. The logic for Walsh pattern generation forms the main part end control
circuit along with various other logic's for noise pattern generation, sequency pattern generation and
control of monitoring signals. The overall architecture for various patterns generation has been
programmed in a CPLD using Xilinx Design Tools 8.2i, so as to develop a SOC. Additional functional
features have been added to this circuit to provide more flexibility to a user while observation. Finally, the
overall circuit has been implemented on a PCB using Altium Design Tools 6.1and the final PCB is under
test. The various results obtained after testing have been compared with the calculated and the simulated
results.
Super-Resolution Reconstruction of Cardiac MRI
Gadage Sonali Sarjerao, Prof.R.M.Mulajkar
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
The accurate measurement of 3D cardiac function is an important task in the analysis of cardiac magnetic
resonance (MR) images. However, short-axis image acquisitions with thick slices are commonly used in
clinical practice due to constraints of acquisition time, signal-to-noise ratio and patient compliance. In this
situation, the estimation of a high-resolution image can provide an approximation of the underlying 3D
measurements.In this project, we develop a novel algorithm for the estimation of high-resolution cardiac
MR images from single short-axis cardiac MR image stacks.
Human Identifiction on the Basis of Finger Dorsal Pattern
Waykar Pratik Kisan, Prof.Mulajkar R.M.
SPPU Pune_Draft Copy for verification only_Souvenir_ePGPex_2017 125
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
Abstract—there are several methods of human identification likewise human fingerprints we can use
finger dorsal pattern and it is unique. High frofile premices huan forencics and different biometrics are the
applications of this innovative biometric method. The surface area of wo different phalanx that is
proximal phalanx joining middle phalanx helps to find the human identity. There were lot of difference in
conventional finger knuckle identification and other is contact based identification with the help of finger
prints. Index terms-biometrics of finger knuckle, proximal phalanges and middle phalanges, finger
knuckle, biometrics of finger dorsal, segmentation of knuckle, biometric fusion.
Index Terms— biometrics of finger knuckle, proximal phalanges and middle phalanges, finger knuckle,
biometrics of finger dorsal, segmentation of knuckle, biometric fusion
Gain Enhancement of Microstrip Patch Antenna Using Artificial Magnetic
Conductor Structure
Abhijeet Tanaji Dhende, Dhede V. M.
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
A small Microstrip patch antenna is designed to function in 2.4GHz wireless radio band. To improve the
gain of microstrip patch antenna Artificial Magnetic Conductor Structure (AMC) is used. The dielectric
substrate used is FR4_epoxy for calculation. The microstrip patch antenna is designed and simulated
using HFSS simulation software. Simulation results are given.
Single Image Superresolution By Using Gradient Profile Sharpness
Abhilasha, Mr. A.S.Bhalerao
JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]
ABSTRACT
Single image superresolution is active image processing problem, which aims to generate a
high-resolution (HR) image from a low-resolution input image. Due to the severely under-determined
nature of this problem, an effective image prior is necessary to make the problem solvable, and to
improve the quality of generated images. In this paper, a novel image superresolution algorithm is
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proposed based on gradient profile sharpness (GPS). GPS is an edge sharpness metric, which is
extracted from two gradient description models, i.e., a triangle model and a Gaussian mixture model
for the description of different kinds of gradient profiles. Then, the trans- formation relationship of
GPSs in different image resolutions is studied statistically, and the parameter of the relationship is
estimated automatically. Based on the estimated GPS transfor- mation relationship, two gradient profile
transformation models are proposed for two profile description models, which can keep profile shape
and profile gradient magnitude sum consistent during profile transformation. Finally, the target
gradient field of HR image is generated from the transformed gradient profiles, which is added as the
image prior in HR image reconstruction model. Extensive experiments are conducted to evaluate the
proposed algorithm in subjective visual effect, objective quality, and computation time. The experimental
results demonstrate that the proposed approach can generate superior HR images with better visual
quality, lower reconstruction error, and acceptable computation efficiency as compared with
state-of-the-art works.
TWO-LEVEL QR CODE FOR DOCUMENT AUTHENTICATION
Madhuri Mohanrao Jagtap, Prof. S. K. Bhatia
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
The quick response (QR) code was designed for storage information and high-speed reading applications.
In this paper, we present a new rich QR code that has two storage levels and can be used for document
authentication. This new rich QR code, named two-level QR code, has public and private storage levels.
The public level is the same as the standard QR code storage level; therefore, it is readable by any
classical QR code application. The private level is constructed by replacing the black modules by specific
textured patterns. It consists of information encoded using q-ary code with an error correction capacity.
This allows us not only to increase the storage capacity of the QR code, but also to distinguish the
original document from a copy. This authentication is due to the sensitivity of the used patterns to the
print-and-scan (P&S) process. The pattern recognition method that we use to read the second-level
information can be used both in a private message sharing and in an authentication scenario. It is based on
maximizing the correlation values between P&S degraded patterns and reference patterns. The storage
capacity can be significantly improved by increasing the code alphabet q or by increasing the textured
pattern size. The experimental results show a perfect restoration of private information. It also highlights
the possibility of using this new rich QR code for document authentication.
An Improved Traffic Signs Recognition and Tracking Method for Driver
Assistance System
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Rupali Pramod Deshpande, Prof. Pravin Badadapure
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Traffic signs recognition is a major issue for a driver assistance system as it has a dual role to control the
road traffic as well as warning and guiding the driver. Such system has to be fast and efficient to detect
traffic signs in real time context and identify them precisely.
An automatic traffic sign recognition system would help reducing the number of traffic accidents and it is
essential for any autonomous vehicle project.
A new method for recognition and tracking of traffic signs dedicated for an automatic traffic assistance
system is thus being introduced. Potential traffic signs regions are detected, then classified using HOG
features and a linear SVM classifier. Afterwards, we keep tracking traffic sign so as to have a continuous
capture of the traffic sign while accelerating the execution time. Also we displayed the alerts on LCD for
driver assistance. Our proposed system has good recognition rate under complex challenging lighting and
weather conditions.
Design of reconfigurable mono pole microstrip patch antenna
Minal Changadeo Sonawane, Prof. Deshpande.A.S
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
With the rapid advancement in wireless communication technologies, the demand for multi-band mobile
devices is increasing. For example, the current wireless transceivers have to support various
communication protocols such as GSM, UMTS, LTE, Wi-Fi and GPS simultaneously. Each of these
technologies operates at a different frequency band. Therefore, instead of using several antennas, it is
more compact and efficient to use one multi-band antenna that accommodates multiple modes. A
reconfigurable antenna is an antenna capable of modifying dynamically its frequency and radiation
properties in a controlled and reversible manner in order to provide a dynamical response. By using
different reconfiguration of patch we got different result of gain, bandwidth and efficiency. So it is
beneficial for compactness. The reconfigurable monopole antenna is proposed by incorporating resonators
to monopole antenna. Electronic switches are mounted across these resonators to serve in activating or
deactivating their resonance frequency, thus leading to reconfigurability.
Frequency Reconfigurable Planar Inverted-F antenna
Arati Madhukar Khade, Prof. A. S. Deshpande
SPPU Pune_Draft Copy for verification only_Souvenir_ePGPex_2017 128
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
A Frequency reconfigurable planar inverted-F antenna for LTE mobile handset application is proposed.
The reconfiguration capability of reconfigurable antenna is used to maximize the antenna performance in
a changing scenario or to satisfy changing operating requirements. The proposed antenna mainly consists
of three switches, In addition the antenna has simple structure with a small size. This antenna operates in
six modes, by changing the switch on off states. The planar inverted-F antenna has two advantages over a
simple monopole antenna is shorter and the impedance matching can be controlled by the designer
without the need for extraneous matching components. Proposed antenna uses the microstrip line feeding,
a conducting strip is connected directly to the edge of the microstrip patch. The conducting strip is smaller
in width as compared to the patch this kind of feed arrangement has the advantages that the feed can be
etched on the same substrate.
Image Dehazing Using Fast Guided Image Filter
Tupe Sachin Gopal, Prof. Raskar V.B
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Imaging in bad weather is frequently tarnished by dispersion due to suspended particles in the troposphere
such as haze, fog and mist. It decreases scene visibility. In this paper we have proposed a haze removal
algorithm using color attenuation prior model. By creating a linear model for modelling the scene depth
of the hazy image under this novel prior and learning the parameters of the model by using a supervised
learning method, the depth information can be well recovered. Once depth information is recovered, it is
used to estimate transmission map. We can easily restore the radiance via the atmospheric scattering
model and thus perfectly remove the haze part from the image. We have implemented this algorithm by
using Guided image filter and Fast Guided Image Filter. The use of Fast Guided Image Filter improves
the speed of execution greatly. The algorithm achieves high quality dehazing. The high SSIM index value
shows that output dehazed image preserves structural similarities of ground truth image.
Circular Aperture slot antenna with Defected Ground Structures
Bhosale Vishal Balasaheb, Prof.P.R.Badadapure
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
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ABSTRACT
Circular Aperture slot antenna with Defected Ground Structures
Abstract— As wireless technology has grown-up between the variety of microwave devices,
differentially fed system are of abundant curiosity. The main advantage of differential system is higher
gain, signal can travel longer distances also it rejects the influence of cross-talk coupling .This system
includes circular aperture slot antenna & the DGS structure.microstrip coupled transmission lines are used
to differentially fed this antenna. Three non-periodical defected ground structures are implemented to
remove CM noise.Fractional BW of 125% is achieved by this system. For the different frequencies
various radiation patterns in E & H planes is obtained.We get 3 bands namely at 1.3 Ghz.,2.3 Ghz and 3.2
Ghz.Which are useful in GSM Applications,LTE Application and wimax Applications. .The system is
used in radio astronomy applications
Abandoned Object Detection Based On Blob Analysis
Tambe Dhanashri Ramakant, Prof. Raskar V. B.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Abandoned object detection is a vital requirement in many video surveillance context. In this paper a new
framework to efficiently detect abandoned object in surveillance videos based on background subtraction
& foreground analysis is presented. The blob analysis technique is applied on the foreground object pixels
represented by binary images. Blob Analysis calculate statistics for labeled regions in a binary image.
The statistical quantities such as the centroid, bounding box, label matrix, and blob count are returned by
the block. On the binary images of the foreground pixels the morphological operations are done.
Computer vision system toolbox is used for object detection. Very small abandoned objects in the low
quality surveillance videos can be detected, Proposed method can even detect the abandoned objects in
the presence of varying illuminations and dynamic background.
Keyword
Unmanned Aerial Vehicle for Mislaid People Discovery Employing the Phased
Array Antenna
Siddharth Achyut Musmade, Dr. S. L. Lahudkar.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
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ABSTRACT
A phased array antenna for locating the missing people using UAV which is able to move rapidly and has
a wide-angle view from the air in the disaster-prone area is proposed. However, an air-plane type UAV
does not necessarily have a stable flight due to harsh wind, rolling, and pitching. In order to locate and to
respond the missing people promptly using the UAV, we propose the system which uses a phased array
antenna and an angle detector. To implement the system, we amass the phased array antenna. The
experiment results show that the projected system increase the received power level by adjusting the
directivity of the antennas with short delay time. The results also validate that the proposed system is
practical in decreasing sufferers of disasters.
Single Human Body Extraction From Still Images
Raja Rajeshwari Mohan Jadhav, Dr. S. L. Lahudkar
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Division of human bodies in pictures may be a difficult task that may facilitate different applications, like
scene understanding and activity recognition. It has found numerous applications like photograph
album making, photo categorization and image recovery. The result can be further applied to various
useful applications like part identification which can be more applied to gesture study in track. We
recommend a simple way for mechanical retrivation of human bodies from static images. The location,
size, and color of the face are used for the localization of the sketch out, creation of the models for the
upper and lower body in keeping with measurement constraints, and assessment of the color. Completely
dissimilar levels of division graininess are combined to extract the cause with highest potential. The
sections that be in the right place to the figure arise through the joint approximation of the foreground and
background throughout the portion examine phases, that alleviates the need for precise form matching.
The performance of our rule is measured victimization forty pictures (43 persons) from the INRIA person
dataset and 163 pictures from the “lab1― dataset, wherever the measured accuracies are eighty
nine.52% and 96.68%, severally. Quantitative and qualitative and experimental consequences exhibit that
our method outperforms progressive interactive.
Dual Ridge Horn Antenna
Shital Pramod Kapade, Prof. Deshpande. A.S
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
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Simple horn antennas have relatively limited bandwidth. In order to increase this bandwidth ridges are
used in horns. Horn antennas are simple to construct, provide very good directional performance, gives
good peak power handling capability. Ridges are inserted to increase bandwidth, cut-off frequency,
surfaces of antenna provided for larger radiation and energy that can be radiated. In this paper, Dual ridge
horn antenna for electromagnetic compatibility testing up to 7 GHz range is proposed.Horn antennas are
characterized using several parameters like gain, voltage standing wave ratio (VSWR), geometry, half-
power beam width, frequency of operation, and polarization. Horn antennas are widely used in various
areas such as EMC testing, standard gain measurement, satellite tracking systems, reflectors feeding,
radars and communication system.
Abandoned Object Detection Based On Blob Analysis
Tambe Dhanashri Ramakant, Prof. Raskar V. B.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Abandoned object detection is a vital requirement in many video surveillance context. In this paper a new
framework to efficiently detect abandoned object in surveillance videos based on background subtraction
& foreground analysis is presented. The blob analysis technique is applied on the foreground object pixels
represented by binary images. Blob Analysis calculate statistics for labeled regions in a binary image.
The statistical quantities such as the centroid, bounding box, label matrix, and blob count are returned by
the block. On the binary images of the foreground pixels the morphological operations are done.
Computer vision system toolbox is used for object detection. Very small abandoned objects in the low
quality surveillance videos can be detected, Proposed method can even detect the abandoned objects in
the presence of varying illuminations and dynamic background.
A New Approach for video denoising and enhancement using optical flow
Estimation
Anagha Arvind Vairale, Prof. Raskar V.B
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
many applications make use of video denoising technique. For example, object detection, medical
imaging, traffic management, remote sensing imaging, digital entertainment and many more. Image
processing investigated the field of video processing. After early 90s, many different techniques were
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placed to maximize the denoising in the video with retaining the legacy of video signal. The suggested
approach uses motion compensation using optical flow. In addition to that, Principal component analysis
(PCA) gives fine details of video. But PCA has a limitation of not eliminating out noise to desired level.
To overcome mentioned issue, implemented method tries to replace PCA with wavelet transformation.
Wavelet transform gives an extra advantage of multi-resolution and sparsity. Wavelet transformation
gives better results in terms of RMSE and PSNR as compare to that of PCA.
Secure Authentication with Video-Object Steganographic Mechanism Over
Wireless Networks
Megha Shamasundar Tade, Prof. Raskar V. B.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
In wireless mode of communication sensitive information is often exchanged, which requires remote
authentication. In Remote authentication data transmitted is encrypted along with visual and audio cues
(facial images/videos, human voice etc.). Robust authentication mechanism based on semantic
segmentation, chaotic encryption and data hiding is proposed by this paper. Considering that user X wants
to be remotely authenticated, initially X’s video object (VO) is automatically segmented, using a head-
and-body detector. One of X’s biometric signals is encrypted with a chaotic cipher. Afterwards the
encrypted signal is inserted to the most significant wavelet coefficients of the VO, using its Qualified
Significant Wavelet Trees (QSWTs). QSWTs provide both invisibility and major resistance against lossy
transmission and compression, circumstances that are typical in wireless networks. At the end, the
Inverse Discrete Wavelet Transform (IDWT) is applied to give the stego-object(SO).
Advanced Approach for city transport tracking using Raspberry Pi platform
Gandre Yadnesh Avinash, Prof. Bhatia. S.K
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Many researches are done for monitoring and alerting system for public transportation. City transport,
checking, continuous monitoring, cautioning framework is actually a testing issue. There are many
difficulties experienced in city transport, observing and alarming because of inadequacy in appropriate
ongoing vehicle area and many other things. Global Positioning System that is GPS is most generally
utilized innovation for city transport and keeps consistent checking of the vehicle. The target of city
transport framework is to oversee and control the vehicle utilizing GPS trans-receiver to know the present
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area of vehicle. In the proposed approach, number of framework, is most generally utilized for alerting
system. Alerting system is fundamental for giving the area and data about vehicle to traveler, proprietor or
client. At last point the data is saved in the cloud spreadsheet. The proposed system gives the more
accuracy than the previous systems.
Reconfigurable smart sensor interface for water monitoring in IoT
environment
Megha Uttamrao Ghorpade, Prof. Bhatia. S.K
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Automatic monitoring of industrial applications involves many kinds of sensors, each sensor connected to
the device is required to write complicated data collection program code. To solve these problems this
paper proposed a new method to design a reconfiguration smart sensor interface for industrial application
in IoT environment in which FPGA is used as core controller. It can read data in parallel , & offers real
time monitoring with high speed. A portable STIM block is obtained using a Verilog model of
IEEE1451.2.It is low cost, powerful technique. Performance of proposed system is verified & good
results are achieved in practical application of IoT to water environment monitoring.
Design of Multiband Antenna for Mobile Wireless Communication
Applications
Musmade Onkar Jagannath, Prof. Deshpande. A.S
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Abstract—In this paper, design and investigation of compact asymmetric coplanar strip (ACS) fed
antenna with slot resonators for tri-band operation is presented. Proposed ACS fed monopole antenna
working over the 4G-2.7 GHz, WiMaX-3.5 GHz and WLAN-5.5GHz bands of wireless applications has
been researched. Designed antenna has total size of 13mm x 33 mm and has been simulated over the
CADFEKO EM Simulation tool. Designed antenna has been simulated against frequency range of 2 GHz
to 6 GHz operating region. Simulated antenna shows
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An Vision-Based Monitoring System For Accurate Vojta Therapy
Vaishali Ashok Nimbalkar, V.B.Raskar
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Vojta-therapy is used for the disorders in nervous and musculoskeletal system,particular stimulation is
given to the sufferers in order to purpose the patient's body to perform certain reflexive pattern moves.
The repetition of this stimulation ultimately unblocks connections among the spinal cord and mind, and
after some classes, sufferers can execute these movements without any outside stimulation. on this paper
we proposed an automated imaginative and prescient-based totally tracking device for accuracy. We
proposed an infant’s detection and popularity of particular moves in his/her various body parts at some
stage in therapy, the use of RGB-D statistics. First, robust template matching based algorithm is
exploited for infant detection using his/her face vicinity. Inside the class level, multi-class vector
machine is used , which ultimately exhibits the correctness of the given remedy. Results show that the
proposed method is beneficial to recognize the proper motion pattern in-home therapy systems.
multiband planar monopol for handheld devices
Ashwini Anil Kadam, Prof. Deshpande. A.S
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
This paper describes the parasitic elements based monopole antenna used for handheld devices such as
mobile phone, tablet, laptops etc. The LTE is (long-term evolution) that can provide mobile broadband
and multimedia services better than the GSM and UMTS systems. Wideband operation and small size
low-profile structure are two attracting points pursued by antenna designers with the rapid development of
new generation mobile communication used for WWAN and LTE mobile phone. The proposed small size
monopole antenna has designed for the LTE, WLAN, and Wi-Max ranges which will be useful for
handheld devices. The parasitic elements based monopole antenna has many advantages such as the size
of monopole antenna is half of the dipole antenna, the directivity of monopole antenna doubles that of its
corresponding dipole, monopole antenna’s input impedance is half of dipole antenna etc.
QoS Aware Geographic Opportunistic Routing protocol for WSN
Ms Pawar Yogita Baban, Dr.S L Lahudkar
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JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
QoS routing is an important research issue in wireless sensor networks (WSNs), especially for mission-
critical monitoring and surveillance systems which requires timely and reliable data delivery Existing job
exploit reaching to television or radio signal that use more than one route from the transmitter to receiver
to guarantee both reliability and delay QoS constraints in WSNs. However, the multipath routing come
near suffers from a major power cost. In this work, we exploit the geographic opportunistic routing
(GOR) for QoS provisioning with both nonstop consistency and setback constraints in WSNs. Existing
GOR protocol are not efficient for QoS supplying of something in WSNs, in terms of the energy
efficiency and addition delay at each hop. To get better the success of QoS routing in WSNs, we define
the difficulty of efficient GOR for multi constrained QoS provisioning in WSNs, which can be formulate
as a multi objective multi constraint enhance effectiveness of something problem. Based on the analysis
and observations of different routing metrics in GOR, we then propose an Efficient QoS-aware GOR
(EQGOR) protocol for QoS provisioning in WSNs. EQGOR selects and prioritizes the forwarding
candidate protocols through ns-2 simulation and evaluate its time complexity through measurement on the
MicaZ node. estimate results display the success of the GOR approach for QoS provisioning in WSNs.
EQGOR significantly improves both the continuous power efficiency and state of situation, and it is
characterize by the low time complexity.
Design and Analysis of Slot Loaded Microstrip Antenna For Tunable and
Dual-Band Operation
Bhapkar Sumit Baban, Prof.P.R.Badadapure
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
This work describes design and analysis of dual-band hexagonal microstrip antenna. It is observed that by
inserting two narrow rectangular slots on a hexagonal patch, a dual-band response can be achieved. The
hexagonal MSA has dimensions of 40×40×1.6 and, excited by using coaxial probe feed technique.
Two distinct resonant frequencies are generated with similar polarization and radiation characteristics.
The parametric study has been conducted for various lengths of slots and spacing between them. Slot
loaded hexagonal MSA is less sensitive to the feed point. It is also noted that frequency ratio is
reciprocally varied to antenna dimensions. The dual-band operation of the hexagonal MSA is tunable at
one frequency only. Finally, hexagonal MSA is tuned in the range 1.20-1.38. The antenna is simulated
using electromagnetic software HFSS v 13.0 based on Finite Element Method.
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Design of Multiband Antenna for Mobile Wireless Communication
Applications
Musmade Onkar Jagannath, Prof Deshpande A.S
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
In this paper, design and investigation of compactasymmetric coplanar strip (ACS) fed antenna with slot
resonators for tri-band operation is presented. Proposed ACS fed monopole antenna working over the4G-
2.7 GHz, WiMaX-3.5 GHz and WLAN-5.5GHz bands ofwireless applications has been researched.
Designed antenna has total size of 13mm x 33 mmand has been simulated over the CADFEKO EM
Simulation tool. Designed antenna has been simulated against frequency range of 2 GHz to 6 GHz
operating region. Simulated antenna shows
INFANT'S CRY DETECTION USING LINEAR FREQUENCY CEPSTRUM
COEFFICIENTS
Rajeshwari Dandage, Prof.P.R Badadapure
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Infant crying can be viewed as an organic alert framework, and it is the principal methods for
correspondence for infants. Newborn child crying signs trouble or needs, requires the consideration of
guardians or parental figures and inspires them to ease the pain. Here, we for the most part centered
around mechanization of Infant's Cry. For this usage we utilize Linear Frequency Cepstrum Coefficient
Cepstrum (LFCC) for highlight extraction and VQ codebook formatching tests utilizing LBG calculation.
The child crying specimens gathered from different cryingbaby having 0-6months age. There are 150
babie's sound as preparing information, each of whichrepresents the 30 hungry baby cries, 30 languid
newborn child cries, 30 needed to burp baby cries, 30 inpain newborn child cries, and 30 awkward
newborn child cries (could be on account of his/her diaper is wet/toohot/icy air or anything else).The
testing information is 40, separately 8 newborn child sobs for each sort ofinfant cry. The distinguishing
proof of newborn child cries based the base separation of Euclidean distance.The, order of the cry in five
classes neh - hunger owh - sluggish, heh - uneasiness ,eair -lower gas, eh - burp.Here for characterization
of the cry our framework is partitioned into two stages. To begin with, in preparing stage, in which LFCC
is connected for highlight extraction, and after that VQ codebooks are created to compressthe include
vectors. Second, is the trying stage in which highlights extraction and codebookgeneration of tests are
rehashed. Here, examination of the codebook format of tests to theall the accessible layouts in the
database are conveyed in view of Euclidian separation between them.LFCC adequately catch the lower
and additionally higher recurrence attributes than MFCC,hence we will get great outcomes over MFCC.
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RESOURCE ALLOCATION FOR COGNITIVE RADIO-ENABLED
FEMTOCELL NETWORKS
Dhumal Shubhangi Suresh, Prof.Bhatia S.K.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
Proposed system is design to monitor Health using ADXL, TEMPERTURE SENSOR, mixed-signal ECG
System-on-Chip (SoC)capable of implementing configurable functionality with low-power consumption
portable ECG monitoring applications. Single channel electrode-tissue-impedance (ETI) measurement
with high signal quality and high performance analog front-end extracts 3-channel ECG signals. It is used
to evaluate the quality of the ECG measurement and to filter motion artifacts.
Temporal Pattern Recognition in Gait Activities Recorded with a Footprint
Imaging Sensor System
Vishakha Vivek Wavare, Mr.V.B.Raskar
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]
ABSTRACT
We evaluate the capacity of an exceptional inconspicuous impression imaging sensor framework, the
"Smart Carpet" in view of plastic optical fiber innovation, to permit proficient stride investigation from
time space sensor information by example acknowledgment procedures. Trial stride arrangement
investigations are executed as 10 conduct of strolling, influencing the abundancy and recurrence attributes
of the transient signs. The information investigation includes the plan of 5 transient components, along
these lines dissected in 14 distinctive machine learning models, speaking to straight, non-direct, outfit and
profound learning models. The model execution is introduced as cross-approved precision scores for the
best model-highlight mixes, alongside the ideal hyper-parameters for each of them.
Secrete Data Hiding In H.264/AVC Video Compressed Bitstreams For
Privacy Data Protection.
Bhagyashri Baburao Raut, Prof V. B . Raskar
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JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
The idea of the project presents the encryption of compressed video streams and data hiding of private
secure information to protect video during transmission and storage on cloud. Digital video when needed
to be stored and processed in an encrypted form to maintain security as well as privacy. Data hiding
approach is essential to evaluate the encrypted video data for the virtue of content notation and tampering
detection. In similar approach, data hiding in encrypted form without decryption process preserves the
confidentiality of the information and private data. In additions, it is more proficient without
unscrambling taken after by information covering up and re-encryption. Here, information stowing away
specifically in the encoded adaptation of H.264/AVC video stream is drawn nearer, which incorporates
the accompanying three sections, i.e., H.264/AVC video encryption, information implanting, and
information extraction. By examining the property of H.264/AVC codec, the code expressions of intra
forecast modes, the code expressions of movement vector contrasts, and the code expressions of lingering
coefficients are scrambled with stream figures. At that point, an information hider may install extra
information in encoded space by utilizing bits substitution system, without knowing first video content.
The crypto framework is utilized here to scramble/unscramble mystery content information before/after
information installing/extraction. So as to adjust to several application situations, information extraction
should be possible either in the scrambled space or in the unscrambled area. The venture recreated comes
about demonstrates that utilized techniques gives better execution as far as calculation productivity ,high
information security and video quality after decoding. The parameters, for example, Mean square blunder,
PSNR, relationship are assessed to quantify its proficiency.
Keywords— Data Hiding, Preserving Info, Encrypted Domain, H.264/AVC codeword substituting
An Efficient Image haze Removal Algorithm using color attenuation Prior
Ruhi Avinash Kolhe, Prof.P.R.Badadapure
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
Abstract— We present a method of recovering high dynamic range radiance maps from photographs
taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken
with different amounts of exposure. Here proposed scheme states that a simple but powerful color
attenuation prior for haze removal from a single input hazy image. Here we create a linear model for
modeling the scene depth of the hazy image under this novel prior and learning a parameters of the model
with a supervised learning process, the depth information can be well recovered. With a depth map of
hazy image, we can easily estimate the transmission and restore the scene radiance via the atmospheric
scattering model, and thus effectively remove a haze from a single image. Experimental results show
that the proposed approach outperforms state-of-the-art haze removal algorithms in terms of both
efficiency and the dehazing effect. We discuss how this work is applicable in many areas such as
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computer graphics we involve digitized photographs, including image-based modeling, image
compositing, and image processing. Finally we demonstrate a few applications which is having high
dynamic range radiance maps, such as synthesizing realistic motion blur and simulating the response of
the human visual system.
Keywords— Dehazing, defog, image restoration, depth restoration.
KNN Based Moving Object Classification For Surveillance Application
Kanakshri Verma, Prof. V.B. Raskar
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
In this paper, a new technique is proposed for classification of four different type of moving objects that
are Pedestrian, motorcycles, cars, and bicycles. These four objects are classified on the basis of their side
view from a set camera. Using background subtraction, a Kalman filter, outline projection, an area ratio,
appearance correlation operations, a moving object is segmented and tracked. Combination of static and
spatiotemporal based on co-occurrence of its segmented objects,. To extract this feature of static
appearance, adaptive gradient intensity and histogram of oriented gradients are projected. The optical
base flow entropy value of instant and short-term actions are proposed for spatiotemporal features. To
take out the small term movement information as of several consecutive frames, the end find the temporal
entropy value of optical flow in various orientation bins. To classify different types of objects, linear
support vector machine with batch incremental learning are proposed.
Efficient technique for intra frame encoding in HEVC
Bandgar Juili Devidas, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
High Efficiency Video Coding (HEVC) is the standard for video coding. It provides more efficient
encoding of a video than previous standards. HEVC uses flexible block partition known as quadtree
partition which results in 50% more compression than previous standards. HEVC allows 35 modes for
intra prediction, which is responsible for highly accurate prediction. These additional computations
resulted in high encoding time. The proposed method of modified selection process for intra modes will
help to reduce the time consumed by traditional HEVC encoding. Out of 35 intra mode prediction only 1
mode is best suitable. Most of the modes can be excluded by proper analysis of reference samples. Here
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classification of a prediction mode into angular mode, DC mode or planar mode is done previously
thereby reducing the intra prediction time.
Efficient bit rate transcoding for HEVC
Dombale Kanchan Laxman, Dr. S K Jagtap
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
High Efficiency Video Coding (HEVC) is the recently developed standard by the ITU-T and Moving
Picture Experts Group (MPEG). It gives higher compression efficiency than previous standards like
H.264 or AVC. HEVC saves nearly 50%bit rate at the equal subjective quality of its previous standards.
Due to flexible quad tree structure in HEVC it increases the coding complexity of the encoder. To use
HEVC in real life applications effective bit rate transcoding is necessary. Transrating is the bit rate
transcoding. In this paper the transcoding technique is proposed which helps to reduce the transcoding
complexity in both coding unit (CU) and prediction unit (PU) optimization levels. The CU can be
estimated in top to bottom or bottom to top sequences at CU level. While estimating CUs the coding
information of the input video stream is used to reduce the number of estimations or to early end the
certain estimations. The given method achieve trade-off between the computational complexity and
coding efficiency.
An integrated computerized cough analysis by using wavelet for pneumonia
diagnosis
Hande Roshan Sharad, P. S. Deshpande
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Respiratory diseases such as pneumonia, bronchitis leading causes of child death in the word .out of this
pneumonia are causing the million children death each year around the word. One of the challenged faced
in consistent diagnosis of childhood pneumonia in secluded area is difficulties arising from field
deployable, laboratory facilities and trained healthcare worker. Such issue we address in this paper and to
categorize the pneumonia using the geometrical analysis of cough sound. We used the wavelet-based
mathematical tool which is a useful work for crackle detection in lung sound analysis. Such feature can be
added among new mathematical feature and to develop the automated classifier to distinguish the
pneumonia with other respiratory diseases. In our project uses feed forward neural network classifier to
increase the classification performance with having sensitivity 90%, specificity 98.7% and accuracy
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97%.Cough and crackle sound are sign of pneumonia. Cough sounds permit us for pneumonia diagnosis
with adequate sensitivity and specificity.
Fraud Dectection of credit card using Iris technique
Jadhav Priti Sunil, S.A.Panwar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Iris Biometric Technique is a very recent concept and it is very useful for decrease frauds over internet.
Often it is used for the security purpose. Biometric technique is widely used for recognition the
authorized person. Now a day, there is increase in credit cards fraud over internet, to avoid that proposed
method is developed. Iris technique is a unique and popular technique for personal identification and
verification. Human iris has distinct pattern of retinal blood vessels. Person to person biometric
identification is in different form. In the proposed work, method is discussed to detect the authorised
person and the fraud. This method uses the hamming distance and other parameters of iris. The goal of
this method is to increase the accuracy and to develop an efficient protection. This paper presents a
feature matching algorithm using hamming distance method based on natural open eyes.
Automatic Face naming System
Machale Sheetal Jayant, P. S. Deshpande
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Face detection and recognition makes possible to use the images of a person face to authenticate him
which allows performing criminal identification, passport verification etc and makes secure system. For
given collection of images or video, which contains several faces, the face naming is done for each face it
contains. In this paper, a face recognition system is analyzed using Principal Component Analysis (PCA)
with Back Propagation Neural Networks (BPNN) and then it is labelled. A neural based algorithm is used
to recognize the frontal views of faces. PCA technique is used to reduce multi-variant data set. For
efficient and robust face recognition BPNN is used for training and learning the data set. Results indicate
that PCA based execution is faster while the recognition accuracy suffers and vice versa for BPNN, thus
suggesting a system incorporating both techniques are preferred. The aim of the current study is to
evaluate the PCA and BPNN algorithms for face recognition in terms of speed and accuracy. The BPNN
classifier consist of parameters like hidden layers , weights and learning rate which increases the
efficiency of the system.
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Vehicular Cloud System
Mane Piyusha Namdeo, S. S. Agrawal
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Vehicular Cloud System includes some parameters such as computing power, data storage and internet
connectivity over the various customers. Vehicular cloud system (VCS) has wide adaptation and it has
security, privacy and social impact also takes place in VCS. There are many numbers of challenges such
as security and privacy challenges in Vehicular Computing. Hence, main goal for VCS is to find security
challenges and scalability in VCS. Data dissemination concept is used in VCS. Prefetching of vehicular
data is delivered to cloud (web page) with the help of some IR sensors given to that particular vehicle.
Continuously monitoring, data storing and updating it at real time using web page. Provide safety to
environment also focusing phenomenon in VCS. The system works on Global Positioning System (GPS).
The proposed system would place inside the vehicle whose position is to be determined on the web page
in real time. Ethernet module is used for internet connectivity. Data fetching is done through web page
which is nothing but cloud. Coding is done with the help of Arduino. Proposed system gives more reliable
results about prefetching of data dissemination in VCS.
Enhancement of Biometric Security by Embedding Iris Image Watermark in
Hand Vein Image
Pavan G Malghan, S. S. Vasekar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Biometric acknowledgment is a noteworthy technique for acknowledgment of individual as of late. Here,
a typical concern is biometric security which is the protection issues gotten from capacity and abuses of
the format information. Two noteworthy ways are Encryption and Watermarking by securing biometric
pictures and layouts. In this paper, watermarking innovation is utilized to enhance the format security in
biometric validation. Here two modalities, for example, iris and hand vein pictures are taken to safeguard
the attributes of vivacity and permanency. The proposed method for implanting of iris information to
hand vein pictures utilizing watermarking innovation to enhance layout security in biometric
acknowledgment is done in view of the accompanying strides, Pre-handling of iris and hand vein pictures,
Iris format extraction, Vein extraction, Embedding of iris example to vein pictures in view of district of
intrigue and putting away installed pictures. A ultimate choice of confirmation is done in light of the item
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lead based score level combination. The usage is done utilizing MATLAB and the execution of the
procedure is investigated with FAR, FRR and precision.
Distributed Source Encoding For Enhancement Of Embedding Payload In
Reversible Data Hiding
Shilimkar Amruta Rohidas, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Reversible data hiding in image encryption is the art and science of imperceptible communication. Due to
fast development of communication network and multimedia technology, security becomes a critical issue
in information trade process over the network. In this paper, we propose a novel scrambling method of
logistic map chaotic theory. This method changes pixel distribution along with pixel position which
reduced the correlation of adjacent pixels to make it troublesome for the intruders to get original data out
of it, such that it will increase security of images and also require less timing. After, data hider
compresses series of selected bits which is slepian wolf encoded using low density parity check code to
generate spare space, and hides additional data into it. The receiver extracts the secret bits using
embedding key and original image can be approximately recovered using encryption key or losslessly
recovered image quality with acceptable peak signal to noise ratio using distributed source decoding.
Application of cascaded linear regression in image super resolution
Shinde Jetashri Jagdish, A.S.Shirsat
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Camera captures the image which is initially low resolution image. Despite of increase in quality of
hardware used for camera, scanner. New application for super resolution will always in demand. Super
resolution is technique which enhances quality of low resolution image and constructs high resolution
image from it. The aim of this paper is to decrease the use of dictionary along with the implementation of
new method. Second order kernel regression is applied on patch processing low resolution image to get
gradient image. Steering matrix decreases the use of dictionary so to patch processed low resolution
image and steering matrix output is up-sampled with kernel regression to get high resolution image.
Computation time is decrease by this new method. Experimentation method shows that implemented
method achieves better result than other method.
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segmentation and Morphological operators detection of human brain tumour
using MRI image
Hajare Yashavanti D., S. S. Agrawal
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
In this paper, Image segmentation plays an role in the processing of medical images. In the field of
Medical Science it is an important and challenging factor It is used for detection of Tumours. Study here
detection of Brain Tumour from MR images of the brain. The brain is an anterior most part of a nervous
system. Tumour is rapid uncontrolled growth cells of brain. Magnetic Resonance Imaging is the device
required to diagnose brain tumour. The Normal MR images are not suitable for particular analysis, so
segmentation is an important required for analyzing the tumour images. Biomedical images segmentation
as it uses unsupervised learning is suitable for clusterig. Current study uses K-Means clustering where
the detected tumour shows some abnormality which is then corrected by the use of morphological
operators along with image processing techniques to meet the goal of separating the abnormal cells from
the normal cells.
Image Retargeting Quality Assessment"; A Backward Registration Approach
Sheikh Samrah Mohammad Naeem, A.S.Shirsat
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
This paper demonstrate the result of a recent large-scale subjective study of image retargeting quality on a
gathering of images produced by several representative image retargeting methods. The image retargeting
operators can be broadly categorized into two types: discrete and continuous approaches. In this paper,
the method explains the image retargeting in a unified system of resampling system period and forward
resampling. This paper creates the impression that the geometric change estimation is a productive
approach to clear up the relationship between the images. This paper gives a unified interpretation of
image retargeting and shows that the geometric change estimation is an efficient way to clarify the
relationship between the original and retargeted images. This paper formulates the geometric change
estimation as a backward registration issue with the MRF and gives a reasonable and viable arrangement.
Under the geometric change guidance this paper develops a novel ARS metric, which is effective method
and outperforms the other existing techniques on freely accessible datasets. Experimental result is the
image fusion.
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Video stabilization based on robust mesh grid warping
Ghorpade Himali Babanrao, Dr. S K Jagtap
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Videos acquired by handheld cameras undergo unwanted motions and also undesirable exposures and
white balance changes between successive frames of videos. This causes degradation of the visual quality
of video. Hence video stabilization is an important technology to remove annoying shaky motions from
handheld videos. Thus a video stabilization method is proposed to get rid of these unwanted camera
motions. Here video stabilization includes extraction and matching of features, tracking features by KLT
tracker and then smoothing the trajectories of the extracted features and finally we apply robust mesh grid
warping algorithm to stabilize the shaky video. Experimental results are provided and stabilization
achieved is validated using quantitative measures Root Mean Square Error (RMSE), Peak Signal to Noise
Ratio (PSNR), Structural Similarity Index(SSIM).These satisfactory experimental results demonstrate the
effectiveness and robustness of proposed method.
digital video denoising using transform domain techniques
Lina Hanumantrao Desale, Prof.S.B. Borse
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Digital images play an important role both in daily life applications such as satellite television, magnetic
resonance imaging, computer tomography as well as in areas of research and technology such as
geographical information systems and astronomy. Data sets collected by image sensors are generally
contaminated by noise. Furthermore, noise can be introduced by transmission errors and compression.
Thus, denoising is often a necessary and the first step to be taken before the images data is analyzed. It is
necessary to apply an efficient denoising technique to compensate for such data corruption.
Image Denoising has remained a fundamental problem in the field of image processing. Wavelets give a
superior performance in image denoising due to properties such as sparsity and multiresolution structure.
With Wavelet Transform gaining popularity in the last two decades various algorithms for denoising in
wavelet domain were introduced. Data adaptive thresholds were introduced to achieve optimum value of
threshold. Later efforts found that substantial improvements in perceptual quality could be obtained by
translation invariant methods based on thresholding of an Undecimated Wavelet Transform. These
thresholding techniques were applied to the nonorthogonal wavelet coefficients to reduce artifacts.
Multiwavelets were also used to achieve similar results. Probabilistic models using the statistical
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properties of the wavelet coefficient seemed to outperform the thresholding techniques and gained
ground. Recently, much effort has been devoted to Bayesian denoising in Wavelet domain. Hidden
Markov Models and Gaussian Scale Mixtures have also become popular and more research continues to
be published. Tree Structures ordering the wavelet coefficients based on their magnitude, scale and spatial
location have been researched. Data adaptive transforms such as Independent Component Analysis (ICA)
have been explored for sparse shrinkage. The trend continues to focus on using different statistical models
to model the statistical properties of the wavelet coefficients and its neighbors. Future trend will be
towards finding more accurate probabilistic models for the distribution of non-orthogonal wavelet
coefficients.
A Deep Learning Model For Image Classification
Aparna R. Rout, Prof. (Dr.) Sahebrao B. Bagal
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
In Image classification we classify image into one of the predefined classes. In conventional way, people
use different computer vision techniques to extract features from images and different machine learning
algorithms use these extracted features to classify the images .It had become very difficult task to classify
the images into interpretative classes. Apart from various learning algorithms the accuracy and
performance of the model mostly depends on the trained dataset and the algorithm used. In this paper we
had proposed a system to classify the scenery images into different groups of sunset, desert, mountains,
trees and sea. In this paper the current approach for image classification make essential use of machine
learning methods. We focus on deep learning techniques for feature extraction and classification of
images. In this project, we propose a model which does not require creating multiple binary models
instead it has single model which predicted the probabilities of different labels and had used these
probabilistic threshold values for respective label to convert those probabilities into presence and absence
of class/label.
Smart visual surveillance system.
Wagh Hemraj Suresh., Prof. Mrs. K. J. Mahajan
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Even though human is arguably the most intelligent creatures in this world, there are still some
shortcomings in the existing solution. In addition, the reason increased adaptationof security cameras to
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survey public areas has caused a digital data explosion that human operators have difficulty to keep up
with. Because of these shortcomings, humans keep inventing new discoveries to make the best of it. In
order to support this surveillance system,a recognition and tracking system is built in this project to detect
an abandoned luggage in the public transportation area such as train stations and airports.
Presenting a new framework for smart threat detection with the help of video surveillance which captures
live streaming from the camera and determine if any abandoned object has been set up. It then raises an
alarm right after the carrier of the bag leaves the scene.The abandoned object is detected with the help of
background subtraction and brought more accuracy on the objects image with the help of morphology.
Every individual person on theframe is being detected by their body with the help of Kalman filter and
brought relation of the body with the bag, so that the alarm is raised only when the body of the abandoned
object carrier leaves the frame.
Electroencephalogram (EEG) based Decision Support System
Miss. Rohini Sudam Darade, Prof. Seema R. Baji
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
The human brain is a multifarious system, and exhibits rich spatiotemporal dynamics. Among the
noninvasive techniques for probing human brain dynamics, electroencephalography (EEG) provides a
direct measure of cortical activity with millisecond temporal resolution. Electroencephalogram is a signal
generated in human brain when there is an information flow among several neurons. Human brain
contains millions of neurons which are responsible for information flow. We have classified the
publically available dataset for testing between normal and epileptic persons. We have achieved accuracy
of 99.88% which is highest accuracy on this dataset.
A Churner Dipole for Wideband Applications
Shrikant S Sonawane, Prof. L.K.Chouthmol
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Abstract- A novel concept of wideband dipole of churner shape with an omnidirectional radiation pattern
is presented. The proposed antenna comprises of four groups of elliptical discs crossed in the center. The
idea is to broaden the working bandwidth by modifying the shape of discs. The antenna achieves a good
impedance match from 2.8 GHz to 28 GHz with S11 lower than -10 dB. The proposed antenna is highly
suitable for various wideband applications.
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SALIENCY DETECTION VIA GRAPH-BASED MANIFOLD RANKING
FOR TRAFFIC SIGN DETECTION
Chavan Namrata Chavan, Prof.M.S.Borse
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
Most bottomup methods measure the foreground saliency of a pixel or region based on its contrast within
local context or entire image,few methods focus on segmenting out background regions and salient
objects. Instead of considering the contrast between salient objects like traffic sign and their surrounding
regions, we consider both foreground and background cues in a different way. We rank the similarity of
image elements with foreground or background cues via graph-based manifold ranking.Saliency of the
image elements is based on their relevances to seeds or queries.Traffic sign image as a close-loop graph
with superpixels as nodes.These nodes are ranked based on similarity to background and foreground
queries, based on affinity matrices. Saliency detection for traffic sign is carried out in a two-stage scheme
to extract background or foreground salient objects efficiently. Experimental demonstrate proposed
method performs well when against state-of-the-art methods in terms of accuracy and speed.
Lung Cancer Cell Detection Using Modified Log-Gabor Filter Based Features
Rupali Raghunath Mali, Mr S.B. Bagal
LATE G. N. SAPKAL COE, NASHIK [076]
ABSTRACT
The early detection of the lung cancer is a challenging problem, due to the structure of the cancer cells.
Lung Cancer can be summarized by evaluating region of interest using maximum entropy and supervised
learning. Now a day lung cancer is the leading cancer among both men and women. Earlier detection of
cancer is the only method to improve the survival rate. Presence of lung cancer can be diagnosed with the
help of a CT image of lung. Doctor analyses the CT image and predicts the presence of cancer. So a
computerized method for cancer detection is needed. Image processing technique can be used for this
purpose. Lung cancer detection system can be developed by using these image processing techniques.
Lung cancer detection system has three steps to detect the presence of cancer nodule in lung. Pre-
processing stage, feature extraction stage and lung cancer cell identification are the steps.
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Elevator Control System Based on IOT
Sakhare Akshay Dattatray, Prof.Dr.P.P.Mane
MES College of Engineering, Pune [032]
ABSTRACT
Abstract — The goods elevators are widely used in industrial areas; so in this system we design elevator
running parameter monitoring system based on Raspberry PI and combining with the concept and features
of IoT. To the best of our knowledge, this technology is first time used for the industrial purpose. In this
system, we have introduced a new concept to design a smart goods lift which can be used to detect
various fault conditions and also to communicate with a lift server to intimate the Lift faults. An android
app which will include the GUI to display the various faults of lift is used here.
Conjuntival vasculature based on Multiscale Multidirectional operator for
Human Recognition
Bhokare Vrushali Pravin, Prof. S. N. Dharwadkar
MES College of Engineering, Pune [032]
ABSTRACT
Abstract—In this paper, there is new part of the eye (sclera part of the eye) exposed as biometric or
physical trait in biometric literature. Here, we deal with study of sclera region recognition by using ocular
biometric modality for security, identification purpose, etc. In this paper, we used Conjunctival
vasculature for authentication purpose. A biometric modality is increase rate of acceptance of visible
white part of eye pattern, which is unique and accessible in visible spectrum. In feature extraction,
multiscale multidirectional shear operator is used. Distance metrics are used for classification. And for
performance of classification, we are used ROC AUC analysis. In this paper, UBIRIS-V2 database and
In-house database are used. Keywords— UBIRIS-V2 Database, Conjunctival vasculature, shearlet
Transform, Ocular biometrics, Distance metrics.
Non-Invasive Diagnostic Device using PPG
Das Sandipa Anup, Prof. R. S. Kadam
MES College of Engineering, Pune [032]
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ABSTRACT
Abstract--This paper deals with the implementation of non-invasive method of measurement of various
parameters to assist a physician in the detection of diseases related to heart or diabetis. This is done by
measuring the pulse count from the blood flow in the finger by using photoplethysmography.
Photoplethysmogram (PPG) is an optically obtained plethysmogram. It uses infrared light to measure the
blood volumetric changes occurring in the various parts of the body. It is non-invasive, inexpensive, and
is one of the the most widely used variety of optical sensors. PPG signal works on the information
obtained from cardio-pulmonary system. This paper describes the various types of plethysmography
signal, the characteristic features of the PPG waveform, and finally the algorithm to measure the various
parameters to diagnose diseases using the PPG signal
Keywords— Photoplethysmography (PPG), PPG signal, diseases, raspberry-pi.
ANALYSIS AND SYNTHESIS OF FLUTE NOTES USING RASPBERRY PI
Gawade Rupa Sampat, Prof. A. A. Dhavlikar
MES College of Engineering, Pune [032]
ABSTRACT
ABSTRACT - Electronics Flute notes can be synthesized with given parameters such as amplitude,
frequency, phase, spectral centroid, spectral flux, and spectral roll-off for each harmonic. In this paper we
present results of Fourier analysis of basic seven notes of Indian flute (Bansuri). Spectral analysis is also
incorporated here for calculation of spectral centroid, roll=off, and flux of these notes. These parameters
can be efficiently used in additive and frequency modulation synthesis method of electronic music
generation using raspberry pi with python scripting.
Keywords— FFT analysis, feature extraction, flute musical notes, Electronic flute
Development of an Algorithm for Image Super Resolution based on Cepstral
Analysis
Jagtap Vallabh Vilas, Prof. P. B. Chopade
MES College of Engineering, Pune [032]
ABSTRACT
Abstract : In this paper, the authors propose an image super resolution algorithm based on cepstral
analysis. The multiple low resolution images are registered by calculating the shifts in the cepstral
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domain. These multiple low resolution images are projected onto a high resolution grid to generate a new
high resolution image. The projection of low resolution image causes blurring and jaggy edges in the high
resolution image. With the help of cepstral analysis the shaken length(N) and shaken angle(θ) are
calculated for the high resolution image. The point spread function is designed using the above
parameters. To deblur and regularise the high resolution image, weiner filtering is done using the
designed PSF. The visual results show the superiority of the proposed algorithm over the conventional
interpolation methods and state of art super resolution techniques.
Keywords— Image super resolution, Cepstrum, Image registration, Image Deblurring and
Regularisation
Recognition of Partial Fingerprints with Parallel Division Method and
Wavelet Transform
Manoli Hrushikesh Girish, Dr. K.S. Tiwari
MES College of Engineering, Pune [032]
ABSTRACT
Abstract— There are many methods available for the recognition of fingerprints. But it is observed that,
at times it becomes necessary to deal with partial fingerprints in cases such as when fingerprints are
overlapped and hence not available completely. Also in case of people who do rigorous work with hands
like carpentry which can swab their fingerprints due to injuries. This may also happen in case if the
fingerprint itself is not properly acquired. Hence, in this paper, a method of ‘Parallel Division’ is
proposed which uses the well known Wavelet Transform method to recognize fingerprint. The method
first trains the system by creating templates of fingerprints in the database. After that the system compares
the fingerprint image under test with these database templates. The algorithm was implemented on FVC
2002 database and found to have an accuracy of 81.87 percent. The average time for execution is found to
be 4.9178 second.
Keywords— Recognition of Partial Fingerprint, Parallel Division, Wavelet Transform.
Heart Rate Measurement And Analysis Using Face And Wrist Video
Pansare Pallavi Genu, Dr. M. P. Dale
MES College of Engineering, Pune [032]
ABSTRACT
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Abstract— A non-contact and less expensive method for heart rate measurement which gives accurate
results need to be developed. One such method can implemented by processing the subject’s face and
wrist video using image processing techniques. Minute movements on the wrist near the radial artery and
slight skin color changes are due to the blood flow variation which are proportional to the heart rate.
These variations are invisible to naked eye. They are captured and made visible through a technique
called Eulerian Video Magnification. Spatial decomposition is applied followed by temporal processing
and amplification to the input video sequence. Output video consists of visible changes of small
amplitude motion and color variations. Heart rate can be extracted from this magnified video by
considering region of interest on the face and wrist. The heart rate value obtained is then compared with
the reading of heart rate measuring device.
Keywords—Eulerian video magnification, spatial decomposition, temporal processing.
Significant Comparative study between Partial Transmit Sequence and
Selected Mapping Scheme for PAPR reduction in OFDM Systems
Thorat Mrunmayee Nandkishor, Prof. P. N. Kota
MES College of Engineering, Pune [032]
ABSTRACT
Abstract— Orthogonal Frequency Division Multiplexing (OFDM) is the important technology in all
communication systems and standards. This technology is favorable for the broadband wireless 4G
communication system. OFDM has popular drawback of peak to average power ratio (PAPR) which
affects multicarrier transmission systems. This study paper gives the significant knowledge about
different techniques which are used to reduce the PAPR from OFDM signal. Selected mapping (SLM)
and Partial Transmit Sequences (PTS) are most influential among all the techniques and are less distortion
techniques for OFDM. Selected Mapping is effective scheme when the large number of subcarriers is
used.
Keywords: Selective Mapping (SLM), Partial Transmit Sequences (PTS), Orthogonal Frequency Division
Multiplexing (OFDM), Peak to Average Power Ratio (PAPR), Bit Error Rate (BER).Keywords—
Recognition of Partial Fingerprint, Parallel Division, Wavelet Transform
Center Symmetric Local Binary Pattern based Signatures for Near Duplicate
Image Identification
Landge Amruta Kaluram, Prof.Dr.P.P.Mane
MES College of Engineering, Pune [032]
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ABSTRACT
Abstract— Ubiquitous distribution of digital data and expansion of digital pictures on account of Internet
has surged issues related with copyright intrusion on digital pictures. Distinguishing close copy pictures
(near duplicate images) plays indispensable part in a few applications, for example, postal mechanization,
computerized library, copyright security and others. Near duplicate image identification is the method of
finding somewhat changed pictures to their original versions. This method aids the location of forged and
redundant pictures. A lot of exertion has been committed to visual applications that require proficient
similitude measurements and image signature. Digital images can be basically edited and altered due to
extensive functionality offered by image processing software. This prompts the test of identification of
modified pictures to their unique forms, which is known as near duplicate image identification. In this
paper close copy pictures are identified with the help of signatures that are framed utilizing center
symmetric local binary pattern i.e. CSLBP. These signatures are extracted from pictures utilizing patch
based approach. Similitude between two pictures is registered by contrasting these signatures with the
help of Earth mover's distance and Chi-square distance. Patch based approach utilize CSLBP visual
descriptor for signature creation. With a specific end goal to register the closeness between signatures of
two pictures, the Earth Mover's Distance is utilized, which emerges for its astounding capability in taking
care of variable-length signatures. Keywords—near duplicate images, near duplicate image retrieval
Parallel Computing to Enhance The Speed of Descriptor Extraction In
Database Application
Pawar Megha Yuvaraj, Prof.Dr.P.P.Mane
MES College of Engineering, Pune [032]
ABSTRACT
Abstract—The idea of "Utilizing more than one calculation implies for taking care of certain tedious
issues" appears to be all the more interesting and viable. Be that as it may, synchronization among
Multiple calculation assets and smart work dissemination among them put significant difficulties on
framework architect. This work introduces various low-level schedules and their information parallel
execution for Image preparing applications. Work varies from their work on information parallel picture
handling, as center is expansive and succinct and not simply constrained to information parallel picture
preparing. Investigation of parallel and circulated picture handling with far reaching subtle elements, so it
turns out to be exceptionally helpful to learners and to the individuals who are new to parallel or
disseminated picture preparing field. Our targets in this venture are as taking after. Investigate the parallel
and dispersed picture handling in succinct and basic way. Use off parallel figuring for the substantial
database include extraction applications.
Keywords—Parallel computing tool, Color coherence vector, Color Histogram, Local binary pattern
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DESIGN AND IMPLEMENTATION OF WIDE BAND-GAP SLOT
FRACTAL UNIPLANAR COMPACT ELECTROMAGNETIC BANDGAP
(UC-EBG) STRUCTURE FOR MICROWAVE APPLICATIONS
Jidnyasa Chetan Patil, Prof.Mrs.M.S.Kanitkar
MIT PUNE [002]
ABSTRACT
A wide bandgap slot fractal uniplanar compact electromagnetic bandgap (UC-EBG) structure is designed
which is based on third iteration of moore space filling geometry(MSF-UC-EBG).By changing the
dimensions of the EBG structure and the substrate materials, two bandgaps of 1.43-214.9MHz-489.5MHz
is achieved. Both EBG structures (FR4_EBG) is simulated using High Frequency structure Simulator
(HFSS) or Computer Simulation Technology (CST), fabricated and measured. Furthermore, the
FR4_EBGs are integrated with a coplanar waveguide (CPW) fed stepped-impedance resonator (SIR)
antenna to research MSF-UC-EBG’s microwave application. After integration, bandwidth performance of
SIR antenna is significantly improved. Also compared measured bandwidth of SIR antenna with and
without FR4_EBG.The proposed MSF-UC-EBG can be easily integrated with low frequency applications
such as GSM, PCS, Bluetooth, Wi-max, and Wi-Fi.
In our project, we are going to design antenna for microwave application and improve the
performance parameters like bandwidth, radiation pattern, gain, directivity and VSWR by using EBG
structure. We will convert this antenna into reconfigurable antenna by using switch (p-i-n diode or RF-
MEMS). We will simulate the antenna by using High Frequency structure Simulator (HFSS) or Computer
Simulation Technology (CST), fabricated and measure the results of antenna structure and see the
performance of the parameters.
Lung cancer cell Detection Using Modified Log-gabor filter based features
Ms.Rupali Raghunath Mali, Mr.S.B.Bagal
MIT PUNE [002]
ABSTRACT
The early detection of the lung cancer is a challenging problem, due to the structure of the cancer cells.Â
Lung Cancer can be summarized by evaluating region of interest using maximum entropy and supervised
learning. Now a day lung cancer is the leading cancer among both men and women. Earlier detection of
cancer is the only method to improve the survival rate. Presence of lung cancer can be diagnosed with the
help of a CT image of lung. Doctor analyses the CT image and predicts the presence of cancer. So a
computerized method for cancer detection is needed. Image processing technique can be used for this
purpose. Lung cancer detection system can be developed by using these image processing techniques.
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Lung cancer detection system has three steps to detect the presence of cancer nodule in lung. Pre-
processing stage, feature extraction stage and lung cancer cell identification are the steps.
Lung cancer cell Detection Using Modified Log-gabor filter based features
Ms.Rupali Raghunath Mali, Mr.S.B.Bagal
MIT PUNE [002]
ABSTRACT
The early detection of the lung cancer is a challenging problem, due to the structure of the cancer
cells. Lung Cancer can be summarized by evaluating region of interest using maximum entropy and
supervised learning. Now a day lung cancer is the leading cancer among both men and women. Earlier
detection of cancer is the only method to improve the survival rate. Presence of lung cancer can be
diagnosed with the help of a CT image of lung. Doctor analyses the CT image and predicts the presence
of cancer. So a computerized method for cancer detection is needed. Image processing technique can be
used for this purpose. Lung cancer detection system can be developed by using these image processing
techniques. Lung cancer detection system has three steps to detect the presence of cancer nodule in lung.
Pre-processing stage, feature extraction stage and lung cancer cell identification are the steps.
Comparative study of different classifiers for Alzheimer’s disease
Namrata Shirish Sasane, Mrs. R.S. Kamathe
PES'S MODERN COE, PUNE [31]
ABSTRACT
Abnormality detection in Magnetic Resonance (MR) brain images is a challenging task. The difficulty in
brain image analysis is mainly due to the requirement of detection techniques with high accuracy within
quick convergence time. An early and accurate detection of Alzheimer’s disease (AD) is an important
stage in the treatment of individuals suffering from AD. For that distinguish between Normal controls
(NC), Mild Cognitive Impairment (MCI) and AD patient is necessary. With manual techniques for
identifying the presence of Alzheimer’s disease through brain MRI is too expensive and time consuming.
Therefore the entire work is towards the development of computer aided diagnostic tool for Alzheimer’s
disease classification. The image classification technique is able to give the information about presence of
abnormality in the input brain image which is used in this project work to detect the Alzheimer’s
disease.The main objective of this project work is to differentiate the different abnormal brain images
based on the optimal feature set. For experimentation Open Access Series Of Imaging Studies (OASIS)
with patient diagnosed with NC, MCI and AD is used. The project has 3 models which classify MRI
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images: 1) AD vs. MCI 2)AD vs. NC 3)MCI vs. NC .Initially optimum features are extracted and selected
with Gray Level Co-Occurrence Matrix(GLCM) and without GLCM.The results are applied to k-NN
classification technique and performance is evaluated. Then performance of this classification is
improved using ADABOOST classifier. This system got 100% classification accuracy using
ADABOOST classifier. The obtained classification results are verified from the Radiologist that assures
the correct classification of various stages of Alzheimer’s disease.
Support vector machine based Intrusion detection System with Hybrid
Swarm Intelligence
Charusheela Pandurang Kamble, Mrs. D.P. Adhaypak
PES'S MODERN COE, PUNE [31]
ABSTRACT
Intrusion Detection System (IDS) takes an important role in network security as it detects various types of
attacks in the network. Intrusion detection is the detecting of actions that attempt to compromise the
integrity, confidentiality or availability of natural resources on the network. In case of an intrusion, an
IDS (Intrusion Detection System) detects it as soon as possible and takes appropriate action. Swarm
intelligence and machine learning techniques (SVM) were used to build different Intrusion Detection
System .The Swarm Intelligence approaches are used to solve complicated problems by multiple simple
agents without centralized control. The Swarm intelligence (Modified Artificial Bee Colony with
Enhanced Particle Swarm Optimization) algorithms can be used for optimizing the parameters of the
SVM classifier. Support vector machine has been employed to provide potential solutions for IDS.
Support vector machines are supervised learning models with associated learning algorithm that analyse
data used for classification. A hybrid algorithm is implemented to integrate Modified Artificial Bee
Colony (MABC) with Enhanced Particle Swarm Optimization (EPSO) to predict the intrusion detection
problem. The performance metrics like accuracy, sensitivity, false alarm rate, and training time are
recorded for the intrusion detection dataset on applying the proposed MABC-PSO classification
algorithm.
: Dynamic Deployment of Sensors using Virtual Forces-directed Co-
Evolutionary Particle Swarm Optimization Method (VFCPSO)
Abha Jain, Mrs. A.P. Laturkar
PES'S MODERN COE, PUNE [31]
ABSTRACT
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Wireless sensor networks (WSN) are the most active research areas due to the bright and promising future
of information technology. This group consists of low-cost, low-power, multifunctional and small size
wireless nodes working together to sense the environment, performing simple data processing and
communicating wirelessly over a short distance. The effectiveness of WSNs depends on coverage and
target detection probability. Many coverage strategies like force based (Virtual Forces Algorithm), Grid-
Based (triangular lattice, hexagon and square grid) and computational geometry based (Voronoi and
Delaunay triangulation) have been proposed. Another method is the Particle Swarm Optimization method
(PSO) which is a class of evolutionary algorithms and is a promising approach to solve complex
constrained optimization problems. The growing demand for coverage optimization forces us to shift the
focus towards hybrid algorithms which combine more than one of the above mentioned approaches. This
project tries to implement Coverage Optimization by using an algorithm called Virtual Force-directed Co-
evolutionary Particle Swarm Optimization (VFCPSO) which follows from the Virtual Forces Algorithm
and the Co-evolutionary PSO. This algorithm offers the flexibility to work with a network having
combination of homogeneous and heterogeneous sensors, as well as stationary and mobile sensors. The
VFCPSO predicts better dynamic deployment with better global searching capabilities and better regional
convergence abilities. The project aims to implement and compare the results of VFA, PSO, VFPSO and
VFCPSO. A significant improvement in effective coverage area and a significant reduction in average
computation time are expected.
Multiple Hypothesis Image Segmentation and Classification in Application
with Dietary Assessment
Akshada Anant Gade, Dr. Mrs. A. J. Vyavahare
PES'S MODERN COE, PUNE [31]
ABSTRACT
The project proposes a method for dietary assessment to automatically identify and locate food in a
variety of images by recognition of food type and volume estimation is done for calorie and nutrition
intake.
Two concepts are combined and used to achieve aim of the project:
1. A set of segmented objects can be partitioned into perceptually similar object classes based on
global and local features in order to provide a complete description of objects and used to assess the
accuracy of image segmentation.
2. By using visual parameters such as texture, colour find out fresh food and provide an accurate
account of daily food intake.
These ideas are implemented by generating multiple segmentations of an image its color features and
texture features extracted using GLCM matrix approach. To select stable segmentations based on the
classifier decision and classiﬕers conﬕdence score assigned to each segmented image region also we
can increase the classiﬕcation rates for each individual classiﬕer. Automatic segmented regions are
classiﬕed using a multichannel feature classiﬕcation system. For each segmented region, multiple
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feature spaces are formed. Feature vectors in each of the feature spaces are individually classiﬕed. The
ﬕnal result is obtained by combining class decisions from individual feature spaces using decision
rules. The project shows improved accuracy of segmenting food images with classiﬕer feedback.
Volume estimation is done to calculate portion of the food and by using the look-up table approach each
food objects is corresponding to a pre-determined amount of food calories, also have incorporated
algorithmic work to calculate precisely the amount of calories based on different variables such as food
size, color, and shape. Overall this method can be integrated into an image-based dietary assessment
system for better assessment of dietary intake for professional dieticians and researchers.
Design Blind spot detecting car with Accident, drowsiness detection & alert
system by using lab view
Tejal Thakre, Mrs. V.P.Kodgirwar
PES'S MODERN COE, PUNE [31]
ABSTRACT
The blind spot detecting is, the vehicle surrounding monitoring system with multiple channel high-
definition (HD) videos, which is embedded in portable navigation devices, is presented. The system
collects three channel video inputs from rear, left, and right side of the vehicle, transforms each inputs
into top-view image, respectively. Finally, the transformed outputs are aligned, and then displayed on the
screen for assisting the driver. Implementation and its results showed that the system provides HD vehicle
surrounding monitoring video which is helpful especially in parking assistance. They have used camera
and doing video processing in which they are checking whether there is vehicle in the vision and then
they are processing on the vehicle speed whether it is going to be problematic if our vehicle is changing
lane and as per that giving alert.
In our project we are going to use Ultrasonic sensors as image processing will take more time for
processing than sensor processing. We are going to check whether there is vehicle in the sensor range or
not. If it’s their immediate alert will be given to the driver that from which side there is chance of crash if
we try to change lane.
In addition we are implementing a safety system in the vehicle which will detect the accident of the
vehicle. And if accident is detected then immediately vehicles location will be sent to the number so that
family members and Ambulance service provider will come to know about accident and both can take
proper action.
We are also implementing a system which gives drowsiness alert. If drivers eyes are closed more than 5
seconds. For this we are going to use image processing by using drives retina. If driver’s eyes closed more
than particular time it will give alert immediately.
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IMPLEMENTATION OF BM3D MRI DENOISING EQUIPPED WITH
NOISE INVALIDATION DENOISING TECHNIQUE USING FPGA
Snehal Shivaji Kothawale, Mrs. V. V. Hanchate
PES'S MODERN COE, PUNE [31]
ABSTRACT
Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance
Imaging (MRI). Magnetic Resonance Images (MRI) are widely used for diagnosis and the treatment of
brain tumours. It is the most powerful imaging technique developed to study the structural features and
the functional characteristics of the internal body parts. In the proposed method, Block matching and 3D
filtering (BM3D) technique is used for MRI denoising. Steps used in BM3D are Nonlocal approach, 3D
wavelet shrinkage and 3D Wiener filtering. BM3D is an improved version of NLM filtering that groups
similar patches in 3D stacks, transforms them in another domain, shrinks the coefficients and returns them
into the original domain by inverse transformation. In this method, Noise Invalidation Denoising (NIDe)
is used instead of hard thresholding. This new approach provides the optimum wavelet threshold
automatically based on the data and noise characteristics and adaptive to the statistical characteristics of
data. Combining BM3D technique with Variance Stabilization Transformation (VST) provided an
efficient MR image denoising approach. Variance Stabilization Transform (VST) removes the
dependency of the noise variance on the MRI image intensities before denoising. Performance metrics
such as peak signal to noise ratio (PSNR), mean square error (MSE) and structural similarity index
(SSIM) are find out for T1, T2 and PD weighted MR images. An algorithm was designed and developed
using verilog HDL language. This algorithm was implemented using FPGA, which can reduce processing
time considerably.
Content based Image Retrieval using Multiview Alignment Hashing
Bhagyodaya Rajendra Jadhav, Prof. M.U. Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
In this paper, content based image retrieval is implemented using multiview hashing techniques. The
implementation consists of three steps preprocessing, features extraction, classification. Preprocessing
step consists of color to gray conversion and histogram equalization, feature extraction consist of
Histogram of Oriented gradients (HOG) for shape detection, Local Binary pattern (LBP) for texture
description and color histogram for color similarity. Hashing is a simple, popular and efficient method for
nearest neighbor search in large-scale data spaces by high-dimensional feature descriptors into a
similarity preserving Hamming space with a low dimension.
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Detection of Particles from Particle Cluster Using Circular Hough Transform
Arora Mayur Gyanswarup, Dr.Mrs. S. S. Lokhande
SINHGAD COE, PUNE [023]
ABSTRACT
Particle size analysis is one of the most demanding tasks in material science and technology. Detection of
size and shape of particles is important for gaining information about better control over the quality of the
product. Particle size is a critical process parameter in pharmaceutical production, which highly affect
physicochemical and biopharmaceutical properties of drug substances and dosage forms. Detection of the
particle present in the agglomerated particle cluster is one of the major challenge in controlling the size of
particle. Image processing techniques provides effective analysis of size and shape features of
pharmaceutical drug particles by segregating occluding particles. This paper presents Circular Hough
Transform based detection technique, which collects the contributions, or votes, from the edge pixels for
an accumulator describing the parameter space (or sometimes called the Hough space) which represents
the circle’s center. Then, circles are extracted by finding the local maxima of the parameter space. In this
paper, the Circular Hough Transform based detection technique is applied on different pharmaceutical
laboratory microscopic images in order to effectively achieve parameters such as particle number, area,
size, roundness and size distribution, etc.
Keyword: Image Processing, Circular Hough Transform, Morphology, Size Analysis, Particles Counting.
Multiple Sensor Fusion and Classification for Moving Object Detection and
Tracking.
Avachar Shubham Vijay, Dr.S.D.Lokhande
SINHGAD COE, PUNE [023]
ABSTRACT
The précised detection and classification of moving objects is a important aspect of advanced driver
assistance systems. By including the object classification from multiple sensor detections as a major
component of the object’s representation and the perception process, we can improve the perceived model
of the environment. At first, we define a composite object representation to include information in the
main object’s description. At Second, we propose a complete perception fusion architecture based on the
framework to solve the detection and tracking of moving objects problem by adding the composite
representation and uncertainty events management. At last, we integrate our fusion approach in a real-
time application inside a vehicle demonstrator which includes main sensors: radar and camera. We test
our fusion system using real data from different driving scenarios and more focusing on four objects of
interest: like pedestrian,truck and other vehicles.
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Patient Monitoring System Using Image Processing
Binu K Nair, Dr. Mrs. S. S.Lokhande
SINHGAD COE, PUNE [023]
ABSTRACT
Respiratory disease is a medical term that encompasses pathological conditions affecting the organs and
tissues which makes gas exchange possible in organism and includes condition of the respiratory tract.
Heart rate is the speed of heartbeat measured by the number of contraction of the heart per
minute(bpm).According to the physical body of a human being, the heart rate may vary person to
person.One of the respiratory disease called severe acute respiratory syndrome(SARS) which spreads
around the world in 2003.Therfore, many interational airport quarantine station launched a system to
detect infected passengers using CMOS-IR camera for preventing global pandemics. A method for non
contact measurement of multiple vital signs i.e respiratory rate & heart rates based on thermal/RGB image
processing with CMOS-IR camera is proposed. Monitoring the periodic temperature changes of thermal
changes at nasal area can calculate respiratory rate .Heart rate is measured by capturing the brightness
variations of RGB facial images by fluctuations in skin blood flow .This non-contact method is assumed
to be essential in preventing and controlling the transmission of infectious disease.
Keywords:- Thermal image processing; non-contact; infection screening; vital signs
Detection of Diabetic Macular Edema in Retinal Images
Snehal Rajendra Gawande, Prof. S. B. Patil
SINHGAD COE, PUNE [023]
ABSTRACT
Macular edema is an advance stage of diabetic retinopathy which affects central vision of diabetes
patients. The main cause of edema is the appearance of exudates near or on macular region in human
retina. Early detection of Diabetic retinopathy is very important for saving vision impairment and for
effective treatment. An automated system for early detection of macular edema is proposed. The method
has been proposed to detect the macula centre which is independent of optic disc location. In this method
search region for detection of macula is adaptive to the size of image. Independency from optic disc
detection to detect the macula is an efficient method because it is unaffected by wrong detection of optic
disc position under the presence of noises and reflections. The proposed method is tested on different
retinal images and achieves probable accuracy.
Keywords : Diabetic macular edema, Macula Detection, Hard exudates, severity of DME.
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Image Processing Applications For Malaria Diagnosis
Chaitanya Godse Laxman, Dr. Mr. V. V. Dixit
SINHGAD COE, PUNE [023]
ABSTRACT
Malaria which is caused by Plasmodium parasite is one of the diseases that can cause death in patients.
Detection of plasmodium parasites on the Red Blood Cell (RBC) image can help diagnose malaria
quickly and accurately, especially in the areas that lacked medical expertise. This research proposes a
detection method of plasmodium parasite at RBC using double thresholding for improving accuracy of
detection. Classification obtained by SVM will achieve better accuracy than conventional methods. Image
segmentation is the process of dividing an image into multiple parts. There are many different ways to
perform image segmentation, including: Thresholding methods such as Otsu’s method, Color-based
Segmentation such as K-means clustering etc. The method detects the blood components such as the Red
Blood Cells (RBCs), White Blood Cells (WBCs), and identifies the parasites in the infected RBCs. The
application also recognizes the different life stages of the parasites and calculates the parasitemia which is
a measure of the extent of infection. The method used by human operators to analyze blood smear image
as well as the corresponding image processing algorithm are summarized.
Keyword: Support Vector Machines(SVM) classification,Detection of plasmodium parasites,Double
thresholding,Image segmentation ,Image processing algorithm
Smartphone based wound assessment system for Diabetes Patient.
Karwa Shubham Ajay, Dr. V.V.Dixit
SINHGAD COE, PUNE [023]
ABSTRACT
Diabetic foot ulcer is regarded as a significant health issue. Nowadays, clinicians and nurses mainly base
their wound assessment on visual examination of wound size and healing status, and the patients
themselves rarely have an opportunity to play an active role. Therefore, a more quantitative and cost-
effective examination method that allows the patients and their carer to take a more active role in daily
wound care potentially can speed up wound healing, save travel time and cost and reduce healthcare
expenses. Assessing wounds by analyzing images of chronic foot ulcers is a very good option with the
prevalence of smartphone with a high resolution digital camera. After that, the wound segmentation is
performed using color segmentation. Specifically, the wound boundary is found using color feature
extraction while the outline of the foot is determined based on skin color. The healing status within the
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wound boundary is next assessed based on red-yellow-black color evaluation model. Here we are using
the Normalized minimum distance classifier for classifying the output to get the best results.
Keyword: Diabetes, segmentation, red-yellow-black color model, Normalised minimum distance
Classifier.
Classification of initial stages of Alzheimer’s disease using structural MRI
images
Kamble Shweta Sukhadeo, Dr. V.V.Dixit
SINHGAD COE, PUNE [023]
ABSTRACT
Alzheimer’s disease (AD) is the most well-known sort of dementia, it is a neurodegenerative disease. The
visible symptoms of the Alzheimer’s disease appear after age of 60. Alzheimer’s disease destroys the
person’s thinking skills, intellectual abilities and memory. This seminar represents the method in which
the early stages of Alzheimer’s disease are classified using the LVQ (Learning Vector Quantiser). The
initial stages are represented as NC (Normal Controls), MCI (Mild Cognitive Impairment) and AD
(Alzheimer’s disease). This classifier classifies the initial stages of Alzheimer’s disease using the
structural phase MRI images. Using the structural MRI phase images the useful features of the MRI scans
ROI (Region of Interest) are extracted using ICA (Independent Component Analysis) technique hence the
classification becomes easier and less time consuming. The results obtained shows the accuracy of this
technique is high.
Keyword: LVQ, Biomedical image processing; Statistical learning; Feature extraction; Classification
algorithms; Independent component analysis; Support vector machines.
Direction of Arrival Estimation for Closely Spaced Signals
Kale Nilesh Bhagwan, Prof. D. G. Ganage
SINHGAD COE, PUNE [023]
ABSTRACT
High resolution direction of arrival estimation algorithms based on the subspace decomposition received
considerable attention while rarely used in the practical applications. The reasons is its difficulty to
resolve closely spaced signals in low signal-to-noise ratio (SNR). For applications of closely spaced
signals within a priori known angle range, we filter the spectrum in direction domain to improve the SNR
of signals on array sensors and reconstruct the covariance matrix with which Multiple signal classification
algorithm is applied. The improvement in the aspects of resolution and accuracy in low SNR is shown by
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Monte-Carlo simulations. The spatial spectrum expresses signal distribution in the space from all
directions to the receiver. Hence, if one can get the signal’s spatial spectrum, then the direction of arrival
can be obtained. Thus, spatial spectrum estimation is also called DOA estimation. DOA technology
research is important in array signal processing, which is an interdisciplinary technology that develops
rapidly in now a days, especially the DOA with multiple signal sources, the estimation of coherent signal
sources, and the Direction of Arrival estimation of broadband signals. Direction of Arrival estimation has
a many application prospect in radar, sonar, communication, seismology measurement and biomedicine.
keywords—Array signal processing, direction-of-arrival (DOA) estimation, direction-domain filtering,
MUSIC
Automatic intrusion recognition and tracking for security systems
Pandhare Girija Rajendra, Dr. Mrs.S. S. Lokhande
SINHGAD COE, PUNE [023]
ABSTRACT
There are some areas where a very tight security is needed. These areas include Line of Control, Airports,
etc. Also, in some areas, it is not possible to appoint human soldiers due to the worst environmental
conditions and high risk of attack by enemies. In such cases, a complete independent system is necessary
which will automatically detect the intruding objects and track them. This is a complete independent
system in which camera, image processing software, supplementary hardware takes care of detection and
tracking of intruding objects automatically. A battery powered computer installed on the system will
analyze images captured from camera. It will detect intrusion and recognize the intruding object by
comparing its features with features of the objects stored in database. If feature match is found, the
intruding object will get tracked. Thus, such a system will ensure tight security without endangering the
precious life of human soldiers.
Keyword:- Object tracking, Object recognition, Shape description, Color Detection.
License plate image estimation of moving vehicle
Sakure Mayuri Vijayrao, Dr.Mrs. S. O.Rajankar
SINHGAD COE, PUNE [023]
ABSTRACT
License plate recognition (LPR) of vehicle is most relevant fields in Intelligent Transportation Systems
(ITS). LPR systems main purpose is to locate, segment and recognize the license plate from the snapshot
of the car. As a remarkable recognizable proof, license plate is a key piece of information to reveal over-
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speed vehicles or the ones included in attempt at manslaughter hit and run accidents. Nevertheless, the
photograph of over-speed vehicle caught by supervision camera is hazy and unclear because of quick
movement, which is even unrecognizable by human. Those observed plate pictures are more often in low
resolution and endure serious loss of edge data, which cast difficulty to existing visually impaired de-
blurring techniques. In license plate picture obscuring is created by quick movement, the obscure bit can
be seen as direct uniform convolution and parametrically demonstrated with edge and length. In this
paper, we studied a novel plan based on sparse representation to recognize the obscure portion. By
examining the sparsely represented coefficients of the recuperated picture, an angle is estimated by
examining the recuperated picture. After that the length of the movement portion with Radon change in
Fourier space is assessed. This scheme can well handle large motion blurs even when the license plate is
unrecognizable by human. The approach is evaluated using real-time images to access the similarities,
difference between two or more number of various popular blind image de-blurring algorithms.
Technical Keyword: Kernel parameter estimation, license plate de-blurring, linear motion blur, sparse
representation
Detection of Fake Biometric Images using Images Quality Assessment:
Application to Face Classification
Nisha S. Shinde, Prof.V.B.Baru
SINHGAD COE, PUNE [023]
ABSTRACT
In biometric authentication signiﬕcant problem is to ensure the actual presence of a real legitimate trait
in contrast to a fake self-manufactured synthetic or reconstructed sample,in this proposed work, a novel
software-based fake detection method is implemented and that can be used in multiple biometric systems
to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance
the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly,
manner, through the use of image quality assessment. The proposed work presents a very low degree of
complexity, which makes it suitable for real-time applications, using 10 general image quality features
extracted from one image to distinguish between legitimate and impostor samples. The experimental
results, obtained on publicly available data sets and real time images of and 2D face, show that proposed
method is highly competitive compared with other state-of-the-art approaches
Convolutional Neural Network For JPEG Artifact Removal
Sima Mukherjee, Prof. B.H. Pansambal
TSSM Bhivarabai Sawant CoE & R, Narhe, Pune [080]
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ABSTRACT
In lot of applications, ranging from radiological image storage to video telephony and multi-media
applications, a huge amount of visual data is to be stored and transmitted. To be able to reduce storage
requirements and increase transmission speed, it is of great importance to compress images and image
sequences. The methods can be lossy or lossless, with the former achieving much higher compression
ratios, still resulting in visually pleasing output. On the other hand, in some environments, like
radiological imaging, lossy compression is not acceptable, both for practical and legal reasons. The two
main issues in image and video compression are removing spatial and/or temporal redundancies by
decorrelating the image (sequence). Image compression standard can be implemented on CNN, resulting
in very fast execution.
Marathi Language Speech Synthesizer Using Concatenative Synthesis
Strategy
Gavane Reshma Rajaram, Mr. S.K. Shinde
TSSM Bhivarabai Sawant CoE & R, Narhe, Pune [080]
ABSTRACT
This reseasrch paper describes the concatenative text-to speech system and discuss the problems linked to
the improvement of a Marathi speech synthesizer using different best of elements: words, phonemes as a
database. Value of the synthesizer with different unit size shows that the word synthesizer achieves better
than the phoneme synthesizer. The best vital qualities of a speech synthesis system are naturalness and
intelligibility. We synthesize the Marathi text and execute the subjective valuations of the synthesized
speech. Speech synthesis runtime was compact for proposed method. The results show the success of the
proposed method.
Keywords-Speech synthesis, concatenation, unit size,
Syllabification
Natural Prosody Generation in TTS For Marathi Speech Signal
Chavan Vidya Laxman, Mr. S.K. Shinde
TSSM Bhivarabai Sawant CoE & R, Narhe, Pune [080]
ABSTRACT
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A Text to Speech synthesizer is a computer based system that should be able to read any text. Optical
character recognition system simply concatenate isolated words. This is applicable for any modern
infrastructure.as is case for the announcement of any information. In the TTS it is impossible to record the
data. And we use the grapheme-to-phoneme transcription. This system is simply concatenate the human
voice system. In this paper, we implemented natural prosody generation in TTS for Marathi Speech
Signal.
Trafic Monitoring System by registration number Identification
Pawar Sangram B., Prof. B.H. Pansambal
TSSM Bhivarabai Sawant CoE & R, Narhe, Pune [080]
ABSTRACT
Traffic monitoring system by registration number identification is being developed as a solution
for traffic monitoring with use of technology. Registration number plate detection and
recognition is an active research topic in image processing domain. The concept of the project is
to detect and recognize vehicle registration number plate of the vehicles those violate the stop
signal. The vehicles jumping the signal will be detected by laser and LDR sensor and their images
will be captured by camera. These images will be processed by Raspberry Pi processor board and
registration number of vehicle will be recognized. For this process, image processing techniques
are used. The recognized registration number of vehicle will be stored. It is a key technique used
in mass surveillance applications like traffic and parking flow surveys, vehicle monitoring through
toll booths, vehicle monitoring through automated alerts for unauthorized / barred /stolen
vehicles, highway / border monitoring system, parking management solutions and many more.
Also we provide SMS alerting system to the monitoring person whenever number of vehicle
exceeds broking signal. .
Sangram Pawar
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Fruit Quality Inspection System Using Machine Vision
Akshay Anantrao Deshpande, J.K.Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
This is a review of the current existing literature about the inspection of fruits and vegetables with the
application of machine vision, where the system mostly used to estimate various properties related to
quality are analyzed using image analysis. In agricultural field the competence and the exact classifying
process is very essential to increase the fruit yield. Every day high quality fruits are exported to other
countries and produce a good income. That is why the grading process of the fruit is important to improve
the quality of fruits. However, fruit classifying by humans in agricultural industry is not adequate,
requires large number of employments and causes human faults. The aims of the classic applications of
such systems include the classification, quality estimation according to the internal and external
characteristics, management of fruit processes during storage or the assessment of new actions. Color,
textural and morphological features are the most commonly used to identify the diseases, maturity and
class of the fruits. In general, machine vision systems do not only replace manual scrutiny, but can also
improve their skills. In conclusion, computer vision systems are powerful tools for the automatic
inspection of fruits and vegetables. In addition, the development of such systems adapted to the food
industry is fundamental to achieve competitive advantages.
Keywords— Machine Vision, Image analysis, Morphological features, Quality inspection. Introduction
Development of e-Nose based on Metal Oxide Thin Films and Nano-
Structures
Komal Maruti Avhad, V. M. Aranke
Vishwakarma Institute of Information Technology, Pune [039]
ABSTRACT
An Electronic-Nose based on Metal-oxide Thin Films and Nano structures for harmful gas detection has
been demonstrated. To implement the design of Electronic-Nose, the multiple sensor array of ZnO
Nanowire film is selectively modified with different sensitizes like Al, Ti, Ag and Au. Data Acquisition
system, testing chamber and a Labview based program is used to simulate a Data Repository System. The
response curves of No2, H2S and NO gases were recorded as a function of gas concentration. Different
types gases were identified using simple bar chart mechanism. Analyzing gases under investigation have
a unique signature pattern.
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Acoustic Emission Signatures Detection and Analysis
Mothe Ganesh Shahurao, Dr. Yogesh H. Dandawate
Vishwakarma Institute of Information Technology, Pune [039]
ABSTRACT
Acquisition of acoustic emission signals are very important for analyzing life of structures and materials.
In this work we have proposed a hardware based signal acquisition system based on DSP processor,
design of acoustic emission sensor and a signal conditioning unit with variable gain amplifier. Different
signal conditioning unit design consideration and wavelet based signal denoising procedure is also
discussed in this work.
Deep Learning in Classification of Low Resolution Astronomical Images
Patil Jyoti Sanjay, Dr. Yogesh H. Dandawate
Vishwakarma Institute of Information Technology, Pune [039]
ABSTRACT
Deep learning is widely adopted machine learning technique by computer vision and signal processing
communities. Deep learning, in particular, Convolutional Neural Networks (CNN), are the most
impressive classifiers widely used for image classification. CNN allows the machine to automatically
learn the features from image representations, minimizing the need for human experts. Such
Representation learning at different layers in CNN, along with their fine-tuned different parameters in
forward and backward propagation paths makes them a more promising model for image classification as
compared to traditional machine learning model. In this paper, one such successful implementation of
CNN is performed with feature extractors designed for classifying low resolution astronomical images
containing objects like ‘Radio Halos and Relics’ and ‘Point Radio Sources’. As these images are with
poorly defined morphological features, feature extraction needed in traditional machine learning is
difficult to obtain. Hence, classification performed with CNN proves to be more efficient.
An Effective Image Resolution Enhancement using Wavelet Transform and
Curvelet Transform
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Shruti Arunrao Shrirao, Milind S. Patil
Vishwakarma Institute of Information Technology, Pune [039]
ABSTRACT
Wavelet based image resolution techniques has been imposed in this work to acquire superior quality of
image. Curvelet transform is being used to enhance the edges fetched from DWT and SWT which is
helpful to retain good resolution of an image. Resolved image is obtained from reconstruction by IDWT.
Input image is interpolated by the factor of á¼€/2 and reconstructed image is then obtained by
decomposition of DWT into different subband followed by interpolation and acquired coefficients are
accurate up to the high frequency subband of SWT. Estimated high frequency coefficients after adding
has been undergone for interpolation with factor á¼€/2 to give enhanced super resolution image.
Depth Estimation Using Stereo Vision On Signal Processing Hardware
Wadne Nitish Jarasandh, Arti Bang
Vishwakarma Institute of Information Technology, Pune [039]
ABSTRACT
The depth information is lost when images are taken from a ccd sensor. Depth estimation has vital
importance in various applications like Advance driver assistance systems, Robot navigation, 3D movies,
etc. This paper proposes the implementation of Semi global block matching algorithm on raspberry pi
using python. The proposed algorithm generates a disparity map by block wise matching and smoothness
constraint. The novel algorithm is compared with other algorithms on the standard dataset. The issues
regarding real time implementation on the system is also discussed.
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VLSI & Embedded System
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IoT based smart parking system
Hainalkar Gayatri Narayan, Prof. Ms. M. S. Vanjale
AISSMSIT, PUNE [025]
ABSTRACT
Moving towards the development of smart city, various smart applications like smart home, smart
healthcare, smart irrigation, Smart street lighting, smart parking system, Smart waste management system
etc are part of it. Out of these applications smart parking system is an important part of so called smart
city. Smart parking system allows reserving the parking spot in advance, which helps in reduction of time
in searching the parking spot, reduction in traffic congestion, reduction in pollution, reduction in
frustration of drivers etc. A smart parking system based on internet of things which not only allows the
drivers to book a particular parking spot but also helps in automatic cashless billing, hacking intimation,
post trip booking is proposed. The proposed system also provides the updates of each parking areas to
traffic police which helps to manage the urban traffic problems. The proposed system provides all the
features essential for upgrading the quality of life of an individual in regards to smart city.
Keywords— internet of things, smart city, smart parking system, smart billing, hacking intimation
Low power CMOS universal gate using Mutithreshold Voltage CMOS
technique
Gajare Milind Pralhad, Prof. Dr. D. K. Shedge
AISSMSIT, PUNE [025]
ABSTRACT
In modern digital integrated circuits, power consumption is one of the major challenges in international
semiconductor road map technology. The technology in VLSI circuits scales down day by day which
reduces the threshold voltage of transistors but increases the subthreshold leakage current. The effective
voltage scaling technique is proposed in this paper to reduce the leakage power of transistors. The main
objective of circuits is to operate the design at low power with high speed. In proposed scheme, the multi
threshold technique is implemented which gives high speed and low power consumption associated to
CMOS transistors in the subthreshold region. The universal gate designed with muti threshold CMOS
technique dissipates low power. The experimental results are performed on Tanner EDA Tool version
14.1. The power dissipation reduced by 30% to 70% in the proposed technique.
Keywords— Dynamic voltage scaling (DVS), mutithreshold CMOS (MTCMOS), low power
dissipation.
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IP based material analysis of particle size/shape detection technique
Rathod Mayuri Dhansing, Dr.V.K.Bairagi
AISSMSIT, PUNE [025]
ABSTRACT
Digital Images are the important part of software. An image fusion is a type of image stitching in which
series of smaller, overlapping images are performed to produce one panoramic image with high
resolution. Stitched images are make effective utilization of panorama images, architectural walk through
and other applications which are related to the 3D modeling environment using images captured from the
real view world. In variety of image processing techniques most of the images are treated as a 2D signal
and standard techniques are applying to it to get the result. So here in this case scale invariant feature
transform (SIFT) algorithm is used to perform the detection and matching key points step because it has
good properties. Second part includes, Grain size is one of the essential parameters in the microstructure
analysis of high strength aluminum alloy. This information is commonly derived based on manual
processes. However, these manual procedures may take long time and errors are prone to occur. These
days, the fast improvement of the digital image processing and the pattern recognition technologies gives
a new methodology for the quantitative metallographic analysis. Artificial intelligence utilized in
realizing automatic metallographic analysis can overcome the drawbacks of the manual processes. In this
paper we presented a new method of digital image processing for determining the grain sizes of the
metallographic images. To derive the grain size determine digital metallographic images, the digital
image processing was applied to extract grain boundary by proposing a new edge detection algorithm
based on fuzzy logic.
Keywords: Edge Detection, Fuzzy Logic, Grain Size, Panoramic Image, Smoothly Stitched Image.
Design of reliable multiplier with adaptive hold logic
Pagar Pradnya Ramrao, Prof. Ms. M. S. Vanjale
AISSMSIT, PUNE [025]
ABSTRACT
Digital multipliers are one of the most critical arithmetic functional units. The overall performance of this
system depends on the throughput of the multiplier. Meanwhile, the NBTI effect occurs when PMOS
transistor is under negative bias (Vgs = - Vdd), increasing the threshold voltage of the PMOS transistor
and reducing transistor speed. A similar phenomenon, positive bias temperature instability occurs when
pMOS transistor is under positive bias. Both temperature effects degrade transistor speed, and in the long
term, the system may fail due to timing violations. Thus, it is important to design reliable high
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performance multipliers. In this paper, we propose an aging-aware multiplier design with the novel
adaptive hold logic (AHL) circuit. The multiplier is able to improve higher throughput through the
variable latency and can adjust the AHL circuits to mitigate performance degradation that is due to the
aging effect. The proposed design can be allied to the column bypass multiplier.
Keywords - Adaptive hold logic(AHL), negative bias temperature instability(NBTI), positive bias
temperature instability(PBTI), reliable multiplier, variable latency.
Accident analysis and protection system using black box
Chandanshive Priyanka Arjun, Prof. Dr. D. K. Shedge
AISSMSIT, PUNE [025]
ABSTRACT
This paper presents an idea of black box which is to be implemented in cars, to ascertain the reason
behind the accident. Whenever one thinks about Black Box the only thing that comes to our mind first is
aeroplanes as they are the ones for whom black box becomes very crucial. With respect to previous work,
this schemehas replaced ARM processor with the newest version of Raspberry Pi 3. With this change the
proposed work tend to achieve high memory capacity, reduction in size of black box and no CAN bus
needed due to inbuilt interfaces. And at the same time an additional feature that is protection system has
been included in the scheme. In protection system there are two parts that is drowsiness detection and
brake fail system. Data collection stops automatically after accident. Coming to accident analysis two
cameras has been which will take videos of Driver’s top view and car’s front view. Accelerometer is used
for denoting steering wheel position, loadcell for the amount of press applied on brake, GPS for location
of accident, IR sensor to detect the drowsiness and alert the driver. Brake fail system to detect failure of
brakes.
Keyword - Raspberry Pi 3 Model B, Accelerometer, ADC, Loadcell, GPS, IR sensor
Android based lightnet for brightness and color temperature control
Hanchate Akshada Arun, Prof.Dr.S.B.Dhonde
AISSMSIT, PUNE [025]
ABSTRACT
Light-emitting diode (LED) with high power has the manifest in benefits of high luminous efficiency,
reduced energy consumption, and potentially longer operating lifetime over conventional fluorescent
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lamps for various lighting applications.The objective is to drive the bi-color LED stripe (warm-white and
color-white LEDs) for precise PWM dimming in the range of 1-10V. The dimming of LED strings is
controlled by using the android phone.In addition, the color temperature and brightness (intensity)of light
is obtained by adjusting the PWM duty cycles for both LEDs. In order to achieve the goal for accurate
dimming and color mixing of two LED strings (warm-white and cool-white LEDs), a closed loop non-
linear feedback control method from the integrated sensors is adopted instead of a linear control method.
Using non-linear method, the accuracy of system is 73% with CCT of 3120K along with luminance
(brightness) of 265 Lux.
Keywords— Bi-color LED stripe; PWM dimming; Color correlated temperature (CCT); luminance;
color mixing; 0-10v range; non linear feedback control; lighting levels.
Human stress measurement
Gaikwad Sanchi Shashikant, Dr.V.K.Bairagi
AISSMSIT, PUNE [025]
ABSTRACT
According to world health organization, stress is a significant problem of our times and affects both
physical as well as the mental health of people. The stress response can be measured and evaluated in
terms of perceptual, behavioral and physical responses. Stress is so harmful that it can/may leads to long-
term diseases. Stress increases the risk of heart diseases by 40%, heart attack by 25%, and stroke by 50%.
A little stress is necessary for us but too much stress brings negative impact. By considering various
physiological features occur in electrical activity of the brain along the scalp. EEG measures voltage
fluctuations resulting from ionic current within the neurons of the brain. EEG is used in more places
because hardware cost of EEG is significantly lower than other techniques. Also EEG has very high
temporal resolution, on the order of milliseconds rather than seconds. Compare to other techniques, EEG
is most preferable because EEG can be recorded near the patient’s bed and used for long-term monitoring
of sleep stages or epilepsy. EEG also is a convenient tool for psycho physiological research when the
subject has to perform some behavioral tasks or is out of laboratory. EEG can track brain changes during
different phases of life without disturbing a patient.
Keywords- EEG NeuroskyHeadset,Stress
VANET System for pollution and traffic control
Shinde Priyanka Vilas, Prof.Dr.S.B.Dhonde
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AISSMSIT, PUNE [025]
ABSTRACT
Vehicular traffic in India is not well organise as they don’t follow the lane discipline in India. Therefore
for proper management we can control the traffic in developed countries. The Intelligent management of
traffic flow can lessen the negative impact of congestion. The issues incorporate direct impacts on
people's prosperity, horrible fiscal effects, antagonistic social impacts, neighbourhood normal damage,
and threat of heartbreaking overall natural change. Overall issues can be minimise by using this VANET
system in which the vehicles can exchange messages which are related to traffic and road conditions, such
as average speed on the road, road gradient, penetration rate, compliance rates and surface condition. Also
we can calculate rate of accident and CO2 level outside the car when considering different road survey
.This information is utilized to save fuel consumption up to 21%, based on which the vehicles are
prescribed to take more efficient routes. By using this system we can reduced the traffic congestion level
and control the pollution in developed countries.
Keywords—Ad Hoc Networks, Routing, Vehicle Communications, Wireless LAN, Road
Traffic.
smart environmental monitoring using WSN
Barate Deepika Sunil, Dr. P. B. Mane
AISSMSIT, PUNE [025]
ABSTRACT
The recent changes in climate have increased the importance of environmental monitoring, making it a
topical and highly active research area. The smart environment monitoring is based on remote sensing and
wireless sensor networks. Clustering is considered as an effective approach to reduce network overhead
and improve scalability. Internet of Things (IoT) makes all objects become interconnected and smart,
which has been recognized as the next technological revolution. A sensor interface device is essential for
sensor information gatheringof industrial Wireless Sensor Networks (WSN) in IoT environments.
However, the various problems like current connect number, sampling rate, and signal types of sensors
are generally restricted by the device. Each sensor associated with the device is required to write
complicated and difficult data collection program code in the Internet of Things (IoT) environment. In
this paper, to solve these issues, a new method is proposed. The method includes design of reconfigurable
smart sensor interface for WSN in IoT environment, in which field programmable gate array (FPGA) is
used as the core controller. The FPGA controller can read data in parallel and in real time with high speed
on multiple different sensor data. The paper presents the smart sensor hardware and software design and
relevant interface protocol to realize the intelligent acquisition for common sensors. The device is
combined with the newest FPGA programmable technology and the fast and accurate data acquisition
form intelligent sensor specification. The gathered data is sent to base station which sends it over internet
and result is displayon web page which can be accessed fromubiquitously.The developed system is
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validated using real time monitoring of CO2 and temperature. The monitoring of the environment
parameter is errorless.
Keywords - FPGA, IEEE1415 protocol, Internet of Things (IoT), sensor data acquisition.
IoT based dynamic traffic management system for smart city
Avadhani Aditi Anand, Prof. Ms. M. S. Vanjale
AISSMSIT, PUNE [025]
ABSTRACT
Smart Cities services ranges from public safety and traffic management to intelligent streetlighting and
water treatment. The main aim is to achieve zero failure infrastructure for the society. The World Health
Organization's (WHO) report on Road Safety (2013) states that the estimated GDP loss due to road traffic
crashes is about 3% for India.Owing to unsafe conditions on roads, the rate of accidents in India has been
high. According to WHO statistics for 2012, out of about 11.8 lakh road accident deaths across the world,
84,674 deaths were reported from India alone. In the year 2014, the number of road accident deaths in
India increased to 92,618. Considering the gravity of the situation, there is consensus that concerted
measures are necessary for reducing this high level of accident deaths and injuries through improved
safety measures and traffic management. The proposed system has been designed to overcome the
shortcoming in the traffic management. The system gives information about road congestion, ability to
control the flow of traffic and also exercise emergency exit for emergency vehicle. Interfacing of Internet
with the actual existing traffic mechanism add-ons the ability of the proposed system to reduce human
intervention and increase the quality of traffic management.
Keyword - internet of things, traffic management, Pune city, Efficiency
Smart Electronic Home Security System
Ghawate Nandan Anil, Dr.P.B.Mane
AISSMSIT, PUNE [025]
ABSTRACT
Home security systems is one of the crucial add-on when it comes to advanced home automation systems.
Since the advancements in the internet of things (IOT) various home security systems have been proposed
and designed. Consumer electronics has seen a wide number of designs on Video door phone, video
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surveillance and intruder alert systems but most of the systems fail to provide a foolproof solution for
everything combined.
In this paper we have proposed a Smart electronic home security system that combines two different
modules that will together act as a video doorbell, a video surveillance system and an intruder alert
system. We have implemented and overcome the shortcomings of traditional video door phones by giving
remote access and adding a surveillance system and proximity trigger as well as providing an intruder
alert system with two layered security. An android based application has been developed for controlling
the system, viewing the feed from video doorbell and receiving notifications from both the devices.Thus
creating a user configurable smart home security system using minimum resources and creating a product
with minimum price.
Index Terms— video door phone system, home security, intruder alert, android notifications.
A VLC based location system for mobile application
Konda Priti Ashok, Prof. Dr. D. K. Shedge
AISSMSIT, PUNE [025]
ABSTRACT
Visible Light Communication (VLC) is demanding wireless communication in upcoming year because of
its higher speed and larger bandwidth with more security. It is the new technology with more benefits
over an existing radio frequency communication system such as high energy, efficiency and long life. The
central requirement of VLC system is illumination and data transmission, where White light is used in
both indoor and outdoor applications for illumination as well as data transmission because colours of
objects as seen closely resemble under both the white light and natural light. The proposed VLC system
enables indoor location based system by including transmitter and receiver part. The transmitter
comprises PC, microcontroller and LED as sends encoded data by flashing the light using On-Off keying
(OOK) modulation technique at a flicker-free frequency with higher speed which undetectable to the
human eye. In order to avoid flickering in lighting, the designated system should work above 200Hz.On
other hand receiver comprises photodiode to convert light rays into electrical signal, microcontroller
receive signal for decoded purpose and its amplification system followed by Bluetooth module to ensure
its connectivity to a smart phone. VLC is the peer to peer communication. Therefore, it is enables for
several other applications such as home, office, airplane etc.
Text independent speaker identification using MFCC and GMM on marathi
database
Deshpande Abhay Anilrao, Prof.Dr.S.B.Dhonde
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AISSMSIT, PUNE [025]
ABSTRACT
In this Project report, we will study the speaker identification using Mel-frequency cepstral coefficients
(MFCC) and Gaussian Mixture Models (GMM) feature extraction methods on Marathi language
database. MFCC is a feature extraction scheme & GMM is a modelling method. Many of the researchers
have used MFCC method for feature extraction and showed their novel techniques & results on
improving the acceptance ratio/recognition rate. We need to select optimum MFCC filters for speaker
identification performance. In the proposed paper, MFCC feature extraction scheme will be used on
Marathi database & will be compared results with Conventional English database. Widely used feature
extraction approach is filter bank-based Mel Frequency Cepstral Coefficients approach. Goal of feature
extraction is to extract features from raw speech that captures the unique characteristics of a particular
individual. MFCC feature extraction scheme used on Marathi language database to improve the
acceptance ratio/recognition Rate. We will compare the results with conventional language (English)
database. By improving acceptance ratio/recognition rate, we can use speaker identification in different
applications.
Speaker recognition application can be used in the automotive domain for user/operator Authentication.
Improved recognition ratio helps in using this feature in critical functions. In this report we covered
implementation of Speaker recognition using above methodology.
Gas Identification & Leakage Detection using Wireless Electronic Nose
Velankar Ashwini Ravindra, Prof.Dr.S.M.Rajbhoj
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Now-a-days, air pollution is the biggest problem faced by the people in our country. Air pollution is
basically caused due to toxic gases like carbon dioxide, nitrogen dioxide, carbon monoxide etc. These
toxic gases mainly cause a large impact of human health & plants. It may cause skin & eye irritation.
Also, the accidents due to LPG leakage may cause a serious damage. Thus, identification of LPG gas is
also important. Thus, the identification of such toxic gases is not possible by human beings. So, for this
purpose, artificial sensing methodology (e-nose) can be used to identify such toxic gases. Artificial
sensing methodology (e-nose) uses sensors like MQ-3, MQ-6 and MQ135 etc. These sensors are used to
sense carbon dioxide, carbon monoxide, nitrogen dioxide, alcohol & LPG etc. The data sensed using
sensors are transmitted wirelessly using RF ZigbeeTx& Rx. Here, the sensors training & learning is done
using Visual Basic 6.0. Back propagation algorithm is used for classification. When the gas is leak the
system identifies the gas & represents the output on screen as well as the output is converted into speech
form.
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WSN based Water Pipeline Leakage Detection
Kendre Saraswati Vasantrao, Prof.Dr.S.M.Rajbhoj
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Water is essential for day to day activities in all area.Fluid (water) transportation systems present a
significant challenge for pipeline health monitoring.Over a country huge area is covered with water
pipeline network, so detection of exact fault is impossible which causes huge amount of loss of water. In
urban and industrial area water leakage problem often occur.The wireless sensornetworks can facilitate
online learning and reliable event monitoring and reporting for distribution pipelines. Asmart wireless
sensor network (WSN) is suitable for leak detection and size estimation inlong range pipelines.Wireless
sensor networks (WSNs) are a target technology for oil and gas pipeline monitoringthey offer benefits of
low cost, ease of deployment and ability to cater for dataacquisition at great spatial and temporal
scales.This system uses wireless communication and machine learning (WML), to learn decisions and
report the critical events like slow, small leakages in water pipeline autonomously.
Vehicle Traffic Monitoring using IoT & Controlling System
Nagmode Varsha Sahadev, Prof.Dr.S.M.Rajbhoj
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Vehicle traffic congestion and monitoring has become one of the critical issues in road transport. With the
help of Intelligent Transportation System (ITS), current information of traffic can be used by control
room to improve the traffic efficiency. Here propose a new context-aware approach to find the current
status and density of traffic and dynamic management of traffic signals along with the environmental
conditions. To facilitate this, our proposed architecture of Vehicle Traffic Congestion Control &
Monitoring System in IoT would perform well. Basically, this architecture is divided into two major
modules i.e. hardware module (Processor, RF Transceiver, Sensors, etc) and software module (Web
Server, Proteus software tool, etc). The system utilizes new technologies for real-time collection,
organization and transmission of information to provide an efficient and accurate estimation of traffic
density which can be exploited by traffic-aware applications.
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Real Time EMG Acquisition & Hand Gesture Recognition System
Patil Nilima Mansing, Prof.Dr.S.R.Patil
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
A large number of impairments and disabilities in human body is increasing day by day. So to improve
the quality of life of disabled people researchers think on the necessity of simple and natural human-
machine control interface. For the human-machine interface various biomedical signals acquired from a
specialized tissue, organ or cell system like the nervous system. Bio signal like EMG signal is used in
various applications including identifying neuromuscular diseases, control signal for prosthetic devices,
controlling machines, robots etc. EMG based hand gesture can help to develop good human-machine
interface. This present an embedded solution for real-time EMG based hand gesture recognition. It
involves acquisition of EMG signal, hand gesture recognition and controlling.EMG based hand gesture
recognition is easy to build and a low cost system.
Structural Health Monitoring System using WSN for Bridges
Patil Pooja Krishnath, Prof.Dr.S.R.Patil
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Nowadays, a natural disaster is happening mostly on the earth. For examples flood, earthquake etc. These
types of disasters like flood, earthquake can cause loss of property damage or life, so the structural health
monitoring system is best solution for these types of problems. Structural health monitoring system is
used to measuring the key parameter of the structural and environmental conditions on a continuous base
at real-time. Purpose of SHM are detect structure damage, safety, disaster mitigation etc. Wireless sensors
to monitor physical or environmental condition like pressure, level of water, acceleration etc. For bridges
and dams application, wireless sensor measures the acceleration, tilting angle of bridge pillar and water
level. The wireless sensor network is used in industry, urban terrain tracking and civil structure
monitoring, security and surveillance, smart buildings etc. The wireless sensor network is consisting of
number of nodes and one or more base stations. The sensor nodes in a sensor network are capable of
collecting bridge or dam information and communicate with other connected nodes in the network. It is
also capable of performing some processing part. Wireless sensor nodes are consisting microcontroller,
transceiver, power management unit (power source), and one or more sensors. For bridge application we
have used accelerometer sensors and ultrasonic sensor. The main aim of this project is to minimize the
structural damages and prevent the life and property.
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Implementation of BIST Technology for Fault Detection & Repair of
Multiported Memory on FPGA
Musle Dipali Baburao, Prof.Dr.S.R.Patil
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Now a day’s embedded memory area and memory density is increasing. Due to this problem of fault is
growing exponentionally.It is necessary to detect and repair those faults. There are different methods to
detect the faults present in memory. Asynchronous P-MBIST method is used to detect the faults.
Simulation result includes asynchronous P-MBIST which detect mismatch of data occurred and it is
shown by high fault pulse. To correct the detected fault redundancy circuit is used. This system is
implemented using FPGA platform.
System of a Solar ECG Monitoring using Mobile Phone
Vispute Deepali Dilip, Prof.S.T.Khot
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Today also there are many areas present in the world where electricity is not present. Such remote areas
are not accessible for the advanced equipments like ECG monitoring device. Also, the tests with these
equipments are so expensive, that poor people cannot afford it. Hence the system proposed here will
provide the solution for this problem, that anyone can observe their own ECG. The system mainly
consists of solar cell and batteries which provides the power to the acquisition system. The system output
has been checked on digital CRO. It gives the ECG signal waveform. Testing of the system is done with
digital CRO later the output can be provide to the mobile phone and further study of the ECG can be done
with that. The initial stages of heart attack or heart problems can be detected with this and accordingly the
help can be provided provide to the mobile phone and further study of the ECG can be done with that.
The initial stages of heart attack or heart problems can be detected with this and accordingly the help can
be provided.
ARM based Integrated Natural Scene Text Localization & Recognition
Kakade Snehal Satwashil, Prof.Dr.V.R.Pawar
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BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Now days reading words from an unconstrained and noisy image is not easy. The objective of this study
is to propose a new method for text localization and recognition in natural scene images with complex
background. In this paper, a hybrid methodology is suggested which extracts text from natural scene
image with chaotic backgrounds. The proposed approach involves embedded system. This combines
software with hardware. First, superimposed text regions in an image are extracted based on character
descriptors features like Area, Bounding box, Perimeter, Euler number, Horizontal crossings. In the
second step, superimposed text regions are tested for text content or non-text using character descriptors
and SVM classifier. In the third step, detection of multiple lines in localized superimposed text regions is
made and line segmentation is performed using horizontal profiles. In the final step, using vertical profiles
each character of the segmented line is extracted. In the system ARM7 (LPC2138) is interface with
Personal Computer. The GPS and GSM are also interface with the ARM7 (LPC2138). The extracted
English text from an image is given to the ARM7 (LPC2138). This will be displayed on LCD. The GPS
will obtain location coordinates of an image. The GSM will send SMS to the local tourist guide company
like (e.g. Just Dial) to update information of natural scene image like (e.g. shop names, hotel names etc.).
The workout has been done using images drawn from ICDAR 2013 and SVT 2010 datasets. The
extracted text and location results will be played with IC (APR33A3). This system will be helpful for
tourist and visually impaired. The results demonstrate the effectiveness of the proposed method, which
can be used as an efficient method for text localization and recognition in natural scene images.
IoT Based Smart Home for Power & Security Management
Deokar Shital Namdeo, Prof.Dr.V.R.Pawar
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
The technology is increasing day by day. Modern technology gives better solution to busy working
people. Now a days, houses are equipped with variety of electronic and electrical appliances. It becomes
difficult to monitor all the appliances at a time. Sometimes if no one present at home & if some
appliances remains on, it will consume large amount of power and result’s more electricity bill also lot of
chances to damage the appliances. This could be achieved by using modern technology like an IoT.
Proposed work uses two sensors. The PIR (Pyro-electric passive infrared) is motion sensor and used for
authentication purpose, and temperature sensor is LM35 used for detecting current temperature of the
room and accordingly operate the appliances present in the home. It makes comfortable life to user.
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Machine Learning Regression Technique for Cotton Leaf Disease Detection &
Controlling using IoT
Adhao Asmita Sharangdhar, Prof.Dr.V.R.Pawar
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Cotton is one of the most important cash crops in India. Every year the production of cotton is reducing
due to the attack of the disease. Plant diseases are generally caused by pest insect and pathogens and
decrease the productivity to large-scale if not controlled within time. This paper presents a system for
detection and controlling of diseases on cotton leaf along with soil quality monitoring. The work proposes
a Support Vector Machine based regression system for identification and classification of five cotton leaf
diseases i.e. Bacterial Blight, Alternaria, Gray Mildew, Cereospra, and Fusarium wilt. After disease
detection, the name of a disease with its remedies will be provided to the farmers using android app. The
Android App is also used to display the soil parameters values such as humidity, moisture and
temperature along with the water level in a tank. By using Android app farmers can ON/OFF the relay to
control the motor and sprinkler assembly according to need. All this leaf disease detection system and
sensors for soil quality monitoring are interfaced using Raspberry Pi which make it independent and cost
effective system. The overall classification accuracy of this proposed system is 83.26%.
To Detect Unhealthy Part of Citrus Leaf using DIP
Shaikh Rukaiyya Pyarelal, Prof.S.A.Dhole
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Citrus is sustenance foods grown from the ground for person. This is one for real trade edit out India. The
different bacterial and microorganisms assault on plant influences different parts like stem, leaves and
organic product. This exploration clarify about execution of picture preparing to determiner anomalies
and illnesses over citrus takes off. This examination demonstrate separated into four sections. In the first
place stage is picture pre-preparing which is including standardization and difference modification. It
improve some imperative component which is useful for further preparing. Second stage is picture
division, it is used the depiction of a picture into something that is more imperative dissent of eagerness
from establishment. For likelihood administration to recognize the haul out and hardness range of cover
leaves the figure tolerating obscure change YCbCr and bi-level thresholding. At last grouping performed
utilizing concealed markov display.
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Emotion Recognition from Speech using MFCC & DWT for Security System
Saste Sonali Tukaram, Prof.S.M.Jagdale
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
In recent years the emotion recognition from speech is area of more interest in human computer
interaction. This paper attempts emotion recognition from speech which is language independent. The
emotional speech tests database is utilized for highlight extraction. For highlight extraction MFCC and
DWT these two unique calculations are utilized. For grouping of various feelings like angry, neutral,
scared and happy state SVM classifier is utilized. The order depends on the component vector shaped by
combination of two calculations. Automated Teller Machine (ATM) is most ordinarily utilized business
application by individuals for their cash exchanges. Throughout the most recent thirty years individuals
are to a great extent utilizing and have been rely on upon ATM. In this paper, a framework is proposed to
enhance the execution in ATM machine security upgrade. Security of client record is ensured by the
Personal Identification Number (PIN). However, PIN can be imparted to others. Here we use emotions for
the authentication.
Fault Resistant Encryption System using High Speed AES Algorithm on
FPGA
Somwanshi Vishakha Anil, Prof.Dr.S.S.Chorage
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Information security is an essential issue in communication system. Advance Encryption Standard (AES)
is utilized as a part of many embedded applications to give data security. Different counter measures are
present in AES against fault injection attacks. Plain text and key of 128-bit is given as an input to the
system and encryption and decryption operations are performed. Flag error shows the status of fault. Fault
is produced randomly during encryption and decryption. For this reason, round transformation is broken
into two sections and a pipeline stage is inserted in between them. After fault detection one operation is
performed that is redundancy check. Detected error or fault is corrected using redundancy check.The
scheme is implemented using FPGA.
TO STUDY DIABETIC RETINOPATHY BY VESSEL EXTRACTION
Khot Sayali Subhash, Prof.Dr.S.S.Chorage
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BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Diagnosis and treatment of several disorders that affects the retina and the choroid behind it require
capturing a sequence of fundus images using the fundus camera. These images are required for diagnosis
of diseases and treatment accordingly. Retinal image segmentation is required to extract various features
like hemorrhages that may help in detection of diseases and its treatment. Diabetic retinopathy is one of
the leading causes of preventable blindness in the world and a leading chronic diseases in retinal tracking.
Detection of lesion helps in early detection of Diabetic Retinopathy
Different encoding schemes to reduce link power consumption and switching
activities in NoC
Mitkari Sneha Uttareshwar, Prof.Dr.S.S.Chorage
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Network-on-Chip (NoC) is basic part of given system. It is substitution for System-on-Chip to decrease
the complexity. Large numbers of different data packets are sent at a time through different links, known
as parallelism. But instead of degrading the performance, NoC keeps on growing in performance and
scalability. In nanometer CMOS technology, interconnection of links dominates both performance and
scalability. Comparison of encoding and decoding operations is done with the help of output waveforms.
Power analysis chart tells about different parameters. Depending on that more efficient and less power
consumed technique, scheme-3 is detected. FPGA and Xilinx are two key points of given system. By
using Xilinx software, power consumption report is calculated from X-power analyzer to compare three
schemes. Also, it will show more efficient technique amongst three.
Solar-Wind Hybrid Energy System Using MPPT
Ligade Gitanjali Vasant, Prof.Dr.V.R.Pawar
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
. Now a day as energy demand is increasing in the world, searching for fossil fuel is done on priority
basis. These fuels are temporary solutions, they emits harmful carbon dioxide to environment. Shortage of
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fossil fuels resources and adverse environment affects made use of Renewable Energy Sources (RES) as
Solar energy and Wind energy essential. Solar energy and Wind energy are natural resources which are
not depleted by use and are more popular. Availability and ease to obtain electric power made Solar and
Wind power as alternative energy sources. Solar energy and Wind energy combined to form Solar-Wind
Hybrid Power System (SWHPS), which will enhance the qualities of each other and another. To reduce
the power demand on the conventional power generation sector, the utilization of these natural resources
is essential to produce power. There are number of methodologies for generation of power using Solar-
Wind Hybrid System with Maximum Power Point Tracking (MPPT). For maximum power transfer
constant voltage method is used. This method to be used should have some key features to increase the
stability and efficiency.
Identification & Monitoring of ALS Patient using EMG Signal
Sonone Archana Bhaskarrao, Prof.Dr.S.S.Chorage
BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]
ABSTRACT
Now a day as energy demand is increasing in the world, searching for fossil fuel is done on priority basis.
These fuels are temporary solutions, they emits harmful carbon dioxide to environment. Shortage of fossil
fuels resources and adverse environment affects made use of Renewable Energy Sources (RES) as Solar
energy and Wind energy essential. Solar energy and Wind energy are natural resources which are not
depleted by use and are more popular. Availability and ease to obtain electric power made Solar and
Wind power as alternative energy sources. Solar energy and Wind energy combined to form Solar-Wind
Hybrid Power System (SWHPS), which will enhance the qualities of each other and another. To reduce
the power demand on the conventional power generation sector, the utilization of these natural resources
is essential to produce power. There are number of methodologies for generation of power using Solar-
Wind Hybrid System with Maximum Power Point Tracking (MPPT). For maximum power transfer
constant voltage method is used. This method to be used should have some key features to increase the
stability and efficiency.
Brain Computer Interface Based Robot Design for Physically Disabled Person
Salunke Shradha Sunil, Prof Riyaj Kazi
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
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There are number of physically handicapped people. Some of them are using different technologies to
move around. Brain-computer interfaces (BCIs) are systems that can bypass conventional channels of
communication to provide direct communication and control between the human brain and physical
devices by translating different patterns of brain activity into commands in real time. With these
commands a robot can be controlled. The intention of the work is to develop a robot that can assist the
disabled people in their daily life to do some work independent of others. Here, brain signals analyzes
using electrode headset that monitors the eye blinks and attention level. All these EEG signals will be
sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth
medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process
the signal using MATLAB platform. According to human attention level robot will move. ARM
controller is used to design robot.
POWER EFFICIENT, HIGH SPEED IMPLEMENTATION OF
TOPOLOGICALLY COMPRESSED FLIP-FLOP (TCFF)
Sathe Kaustubh Vivek, Prof. Rashmi Mahajan
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
The trend of CMOS technology improvement continues to be driven by the need to integrate more
functions into given area of silicon. Underlying this revolution are the advances in device manufacturing
technology that allow for a steady reduction of the minimum feature size such as the minimum transistor
channel length realizable on a chip. A pertinent question is how this continued reduction in feature size
influences the operating characteristics and properties of the MOS transistor, and indirectly the critical
digital design metrics such as switching frequency and power dissipation. The limitations of technology
scaling can be overcome by incorporation of new devices like SiGe PMOS. Implementation of
Topologically compressed flip-flop (TCFF) in association with the SiGe devices will ensure the
enhancement of the circuit performance. TCFF will give the power saving and the use of SiGe devices
will make sure the high speed operation. The strained silicon structure which actually increases the
mobility increasing the current driving capacity of PMOS which in turn reduces the size of PMOS and
ultimately the overall chip size.
Urban Transport: A simplified approach towards public bus monitoring,
tracking and safety system
Shinde Neha Anil, Pro. Saniya Ansari
D Y PATIL COE, LOHGAON, PUNE [88]
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ABSTRACT
A Smart Assistance for Public Transport System is to be designed. The Public transport selected is Public
Bus. The issues related with public transport bus are discussed and taken into consideration such as bus
arrival time, no. of persons available in the bus , accident detection of system and safety, alcohol
detection for driver, bus report to public through online/offline options are available .The basic
methodology used is GPS/GSM is used. The PIR sensors need to be used at front and rear door of the bus
for person counting of in/out from the bus. Also, MQ3 alcohol detection sensor is used to detect alcohol
level of the driver drunk and if alcohol is detected then bus will not get ON and a message will be given
to PMT through GSM system requesting for change of driver. Then an accelerometer is used to detect
accidents and simultaneously message is sent to PMT, registered hospital and registered police station so
that they can give proper assistance to the bus at the time of accident. When the switch is been pressed, a
message will be sent to registered police station containing the data about bus and its location.
Design and Implementation of an Advanced Home Automation System using
WiFi Technology
Yadav Jaspalsinh Prafulsinh, Prof Riyaj Kazi
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
Design and Implementation of an Advanced Home Automation System using Wi-Fi Technology. A
system of remote monitoring and self-auto controlling are very much necessary. Smart home appliances
are one the beneficiary of system equipped with home appliances which we wish to control smartly from
anywhere. Machine-to-Machine and Man-to-Machine are the basic communication platforms that enable
home appliances to communicate with each other to be more efficiently operated. According to the
experimental results, the impact of wireless interference on the proposed smart home control network is
substantially mitigated. Additionally, a smart control algorithm for lighting systems and an analysis of the
illumination of lighting is present. The energy saving of lighting systems relative to those without smart
control is evaluating. Numerical results indicate that the electricity consumption on a sunny or cloudy day
can be reduced by at least 40% under the smart control. This paper presents a comprehensive review of
the smart home automation network communication protocols that are used to enable bidirectional
communication between the home owners, utilities and smart home appliances. Moreover, a prototype for
the proposed smart home control network with the smart control algorithm is implemented.
SMART ELECTRICITY ENERGY METER EMBEDDED IN AN IOT
PLATFORM
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Darade Mangesh Sandipan, Prof. Rashmi Mahajan
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
A smart meter system for office and industrial environment is being designed in this system. Previously
electromechanical meter device which helps in determining billing charges are monthly basis and are
computed in kilowatt-hours. To solve this problem, we propose a detailed architecture and an
implementation of a smart energy meter using the portion of the smart grid on customer premises which is
embedded in an internet-of-things platform. Our approach has four aspects of novelty and advantages
with respect to the state of the art as seamless integration of smart grid with smart home applications in
the same infrastructure, data gathering from heterogeneous sensor communication protocols, secure and
customized data access, univocal sensor and actuator mapping to a common abstraction layer on which
additional concurrent applications can be built which is flexible to user interface. The emerging field of
wireless sensor networks combines sensing, computation, and communication into a single tiny device.
Advanced Healthcare System Using IoT
Dhandare Sanjay Devidas, Dr. S M. Koli
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health
care is a particularly important one. Networked sensors, either worn on the body or embedded in our
living environments, make possible the gathering of rich information indicative of our physical and
mental health. Captured on a continual basis, aggregated, and effectively mined, such information can
bring about a positive transformative change in the health care landscape. In particular, the availability of
data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent
processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post
facto diagnose-andtreat reactive paradigm, to a proactive framework for prognosis of diseases at an
incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b)
enable personalization of treatment and management options targeted particularly to the specific
circumstances and needs of the individual, and (c) help reduce the cost of health care while
simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IoT
in realizing this vision of the future of health care.
Safe Drive Assistance System
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Narwate Dipali Dilip, Prof. Rashmi Mahajan
D Y PATIL COE, LOHGAON, PUNE [88]
ABSTRACT
Motor vehicles have become an essential part of our day to day life. The demand for the vehicles is
increasing at uncontrollable rate. The other rate which is also going beyond control is Road Accident.
Road Accidents happen in case of Rash Driving, Over-speeding, Breaking Lanes, Drivers Drowsiness,
Ignoring Safety Precautions, drink and drive etc. This happens globally and is one of the major causes of
death. WHO claims that in the year of 2010 China and India have registered more than 2 lakhs deaths in
road accidents. It also claims that these fatalities happen more with Middle Income Grade and Lower
Income Grade people. Another report claims that about 40% of Road Accidents happens either due to
over-speeding or negligence in safety precautions. Keeping these facts in the mind, it has been decided to
develop a system which is combination of Alcohol detection circuit, Speed Controlling Circuit and
Seatbelt Detection Circuit and Driver drowsiness system.
Efficient FPGA Realizations of a DA-Based Reconfigurable FIR Digital Filter
Reshma Laxmanrao Ghurde, Mrs. Aparna Shinde
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
This paper present distributed arithmetic (DA)based technique for reconfigurable implementation of
finite-impulse response (FIR) filters whose filter coefficients change during runtime. Conventionally, for
reconfigurable DA-based implementation of FIR filter, the lookup tables (LUTs) are required to be
implemented in RAM; and the RAM-based LUT is found to be costly .Therefore, a shared LUT design is
proposed to realize the DA computation. Instead of using separate registers to store the possible results of
partial inner products for DA processing of different bit positions, registers are shared by the DA units for
bit slices of different weightage. The proposed design has nearly less area-delay product, when compared
to DA-based conventional structure.
A High-Performance FIR Filter Architecture for Fixed and Reconfigurable
Applications
Pallavi Raghunath Yewale, Prof. Aparna Shinde
D.Y.PATIL C.O.E. AKURDI 44 [8]
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ABSTRACT
Transpose form finite impulse response (FIR) filter is naturally a pipelined structure which supports the
multiple constant multiplications (MCM) technique but direct form FIR filter structure does not support
MCM technique. The MCM is more effective in Transpose form when the common operand is multiple
with the set of constant coefficients that reduce the computational delay. The implementation of MCM
technique is easier in fixed coefficient Transpose form FIR filter but complex in reconfigurable
coefficients. In fixed coefficients transpose FIR filter, area and delay are reduced by using MCM
technique. The low-complexity design using the MCM technique is implemented for fixed coefficients
transpose form FIR filters and multiplier-based design is used for reconfigurable transpose form FIR
filter. The implemented transpose form FIR filter structure achieved less area and delay than the direct-
form FIR filter structure. The XILINX software tool is used for simulation.
Area-Efficient High-Speed Hybrid 1-bit Full Adder Circuit Using Modified
XNOR Gate
Kadu Chaitali Pradiproa, Manish Sharma
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
A hybrid 1-bit full adder design is presented here using modified 3T-XNOR gate to improve the area and
speed performance. The design is implemented for 1-bit full adder and then is scaled to 32-bit adder.
Combination of CMOS and transmission gate logic is used to enhance the performance in terms of area,
delay and power. The performance of the proposed design is evaluated through the simulation analysis in
90-nm technology with 1.2v supply voltage. The effect of scaling on the overall performance is also
analyzed through the performance evaluation of 1-bit and 32-bit adder. The performance of proposed
design is also compared with conventional design to verify the effectiveness in terms of area, power,
delay.
Design of Low Power Master Slave Match Line for 8×8 Content
Addressable Memory
Parmar Mitali Yogeshbhai, Dr. P. Malathi
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
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A master-slave match line (MSML) design is presented here using modified XNOR cell for low power
and better performance. Unlike the conventional design, where only one match line (ML) is used, MSML
uses one master MLs (MMLs) and several slave -MLs (SMLs) to perform the search operation. By
sharing MML charge with mismatch SML, the power consumption can be reduced and speed can be
improved. All circuits are simulated in Tanner V13 tools with 90nm standard CMOS technology. The
performance of proposed design is compared with conventional design in 1×4-bit, 4×4-bit, 8×8-
bit word size case.
Area-Delay-Power Efficient Carry-Select Adder
Sareeka Tulshiram Deore, Prof. Dr. (Mrs.) P. Malathi
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
In arithmetic operation, adder is the basic hardware unit. So adder performance affects the overall
Systemperformance. In this brief, the logic operations involved in conventional carry select adder (CSLA)
and binary to excess-1 converter (BEC)-based CSLA are analyzed to study the data dependence and to
identify redundant logic operations. We have eliminated all the redundant logic operations present in the
conventional CSLA which is formed by using RCA and proposed a new logic formulation for CSLA. The
Regular Square root (SQRT) CSLA consumes more area due to the presence of two Ripple Carry Adders
(RCA) in the structure. In the proposed scheme, the carry select (CS) operation is scheduled before the
calculation of finalsum, which is different from the conventional approach. Bit patterns of two
anticipating carry words (corresponding to cin = 0 and 1) and fixed cin bits are used for logic
optimization of CS and generation units. An efficient CSLA design is obtained using optimized logic
units. The proposed CSLA design gives significantly less area and delay than the recently proposed BEC-
based CSLA. Due to the small carry-output delay, the proposed CSLA design is a good solution for
square -root (SQRT) CSLA. A theoretical estimate shows that the proposed SQRT-CSLA involves nearly
35% less area-delay-product (ADP) than the BEC-based SQRT-CSLA, which is best among the existing
SQRT-CSLA designs, on average, for different bit-widths. Carry Select Adder (CSLA) is one of the
fastest adders used in many data-processing processors to perform fast arithmetic functions. The proposed
design is synthesized and simulated in Xilinx ISE design suite 14.2 and is implemented on Spartan 6
XC6SLX16 CSG324 FPGA device.
Low Power, Area Efficient Dynamic Comparator Without Cross Coupled
Inverter
Amol D. Shinde, Dr. Manish Sharma
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D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
In this paper analysis for input stage and output stage of dynamic comparator is presented along with a
new architecture of dynamic comparator is proposed with modified node discharge method and without
cross coupled inverter pair. Also the parameters which affect power consumption are listed and those
parameters are significantly reduced in proposed design. The proposed comparator has reduced activity
factor and hence it consumes much less power as compared to conventional designs. The modified node
discharge method is implemented at input stage and output stage is implemented without cross coupled
inverter pair which helps in reduced active, standby power consumption and transistor count for area
efficiency. All circuit designs are simulated in Tanner tools V16 with 90nm CMOS technology. Post
simulation results shows that modified node discharge method works well for power as well as area
efficiency.
Study and Analysis of Soft Error in Combinational Circuits Using NOR Gate
Poonam Sudam Wankhede, Usha Jadhav
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
As the model technology is being scaled down, physical defects occur.Physical defects are those that can
occur in a circuit. During fabrication of chip many types of imperfection can occur, for example, breaks
in signal lines, lines shorted. Soft Error are not the permanent error’s, they only occur for some time
period in a circuit. The soft error’s can be resolve by using fault detection techniques. Stuck-at-fault is
one of the fault detection technique, the stuck-at-fault is an logical type detection. This paper attempts to
reduce the soft error from circuit. The Proposed technique is based on stuck-at-fault in NOR gate for two
condition’s i.e stuck-at-0 and stuck-at-1 in circuit.
Design of Power & Area optimized 6T Latch for Shift Registers Using Pulsed
Latches
Akshata G. Shete, Arati Gaikwad
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
This paper proposes low power 6T latch for shift registers using pulsed latches. The area and power
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consumption are reduced by replacing flip-flops with pulsed latches. This method solves the timing
problem between pulsed latches through the use of multiple non-overlap delayed pulsed clock signals
instead of the conventional single pulsed clock signal. The latest portable advanced devices require low
power and area efficient designs. The shift register uses a small number of the pulsed clock signals by
grouping the latches to several sub shifter registers and using additional temporary storage latches. A n-bit
shift register using pulsed latches is designed. The simulation results show that the proposed shift register
design with less transistor count is better choice for low power and area efficient applications.
Implementation of Fault Tolerant Embedded Signature Analyzer
Amol Gulab Patil, Usha Jadhav
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
In this paper to test and verify arithmetic and logic operations performed by digital circuits an arithmetic
and algebraic codes are used. Residue generator is an important unit of hardware implementation of
arithmetic code which generates residue of number with respect to check base. The proposed system uses
residue generator with arbitrary check base. It is shown that to reduce the probability of error escape,
when proposed residue generator is used for detecting arithmetic errors. The proposed generator is embed
into a microprogrammable finite state machine to test its operation without adding hardware overhead.
Power Optimized Transmitter for Future Switched Network
Omkar Chandrashekhar Mane, Usha Jadhav
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
Network equipment power consumption is under increased scrutiny. To understand and decompose
transmitter power consumption, we have created a toolkit incorporating a library of transmitter circuits in
45-nm CMOS and MOS current mode logic (MCML) and characterize power consumption using
representative network traffic traces with digital synthesis and SPICE tools. Our toolkit includes all the
components required to construct a library of different transmitters: line coding, frame alignment, channel
bonding, serialization and deserialization, clock-data recovery, and clock generation. For optical
transmitters, we show that photonic components and front end drivers only consume a small fraction (
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An Embedded Real-Time Finger-Vein Recognition System for Security Levels
Sandhyarani Yadav, Mrs. Aparna Shinde
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
In this project, we propose a real-time embedded finger-vein recognition system for
authentication on mobile devices. The system is implemented on an embedded platform and
equipped with a novel finger-vein recognition algorithm. The proposed system consists of three
hardware modules: image acquisition module, embedded main board, and human machine
communication module. The structure diagram of the system is 1. The image acquisition module
is used to collect finger-vein images. The Embedded main board including the Microcontroller
chip, memory (flash), and communication port is used to execute the finger-vein recognition
algorithm and communicate with the peripheral device.
Low Cost, Design and Development of MEMS for Marine Application
Radhika Pratap Jagtap, D. G. Khairnar
D.Y.PATIL C.O.E. AKURDI 44 [8]
ABSTRACT
This paper represents the development of inertial measurement of data acquisition system mainly used in
sailboats. Mainly it detects the location and correct inertial measurement for racing application. The
variables of interest are three-axis acceleration, three-axis rotation, Global positioning system (GPS),
position/velocity, Magnetic compass bearing and wind speed/direction.Inertial measurement unit (IMU) is
a self-contained system that measures linear and angular motion usually with a triad of gyroscopes and
triad of accelerometers. The designs mainly focus on low cost micro electromechanical system based
technology. The proposed design includes novel application of MEMS (micro-electromechanical system)
technology that combines computer with tiny mechanical devices such as accelerometer, gears, valves
and embedded in semiconductor chips.
Design and Implementation of DCT Algorithm using Vedic Mathematics
Ranjana Kumari, Prof. Monali Chinchamalatpure
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DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Digital multipliers are indispensable in the hardware implementation of many important functions such as
DCT, IDCT etc. in Image processing. The project deals with Design and implementation of Vedic
Multiplier in Image Compression using DCT algorithm. The DCT (Discrete Cosine Transform) performs
spatial compression of the data while IDCT performs decompression of the data. Here, matrix
multiplication is one of the important steps in both the transforms. Hence, to perform these computations;
Vedic multiplier is introduced which is based on Urdhava Tiryakbhyam (vertical and crosswise) sutra. In
this project DCT algorithm is designed using Verilog and code is written in Xilinx I.S.E 14.5 version,
synthesized on Xilinx Synthesis Tool (XST).The result of DCT using Vedic Multiplier is implemented
and the proposed Vedic multiplier proves the computational high speed involved in multiplication
operations of the image processing. The demand for high speed processing has been increasing as a result
of expanding computer and signal processing applications. Higher throughput arithmetic operations are
important to achieve the desired performance in many real-time signal and image processing applications.
One of the key arithmetic operations in such applications is multiplication and the development of fast
multiplier circuit has been a subject of interest over decades. Multiplier based on Vedic Mathematics is
one of the fast and low power multiplier. Employing this technique in the computation algorithms will
reduce the complexity, execution time, power etc.
DESIGN HIGH SPEED MULTIPLIER USING VEDIC MATHEMATICS
FOR IIR FILTER.
Dighe Pratibha Punjahari, Prof. Monali Chinchmalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Abstract: Digital signal processing operation utilizing Vedic mathematics which performs the signal
handling operation like convolution, circular convolution, cross correlation, auto-correlation and filter
design. Digital signal processing (DSP) operations are vital part of engineering and medical field.
Outlining of DSP operations have numerous methodologies. This configuration procedure gives the
analysis of signals to enhance the accuracy of the mathematical calculations. It encourages the time
sharing for all signals to process mathematical operations all the while. Vedic mathematics is the ancient
math which has a unique method of mental calculation with the assistance of basic rules and standards
based on sutras. The utilization of multiplier has demonstrated the efficiency of Urdhva-Tiryakbhayam
method for multiplication which conveys a distinction in the real procedure of multiplication itself. The
configuration of IIR filters utilizing Urdhva-Tiryakbhayam sutra. This calculation is performed in Xilinx
and compare with MATLAB operation of IIR filter respectively.
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Keywords: Vedic Mathematics, Multiplier, DSP, IIR Filter, Urdhwa Tiryagbhyam Sutra, MATLAB 8.1,
Xilinx 14.5 ISE.
Energy efficient vehicle with anti theft and accident control system
Tushar Tayade, Prof. Manoj Sonune
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Security, especially the security of vehicle has become a matter of concern. An efficient automotive
security system is proposed for anti-theft using an embedded system integrated containing face
recognition system with Global Positioning System (GPS) and Global System for Mobile Communication
(GSM).This proposed work is an attempt to design and develop a smart anti-theft system that uses face
recognition system to prevent theft and to determine the exact location of the vehicle using GPS. GSM
system is also installed in the vehicle for sending the information to the owner because GPS system can
only receive the vehicle location information from satellites. The owner can lock or unlock his vehicle
with the help of SMS. There is also accident control system which will control speed and not allow the
car to dash on the car or obstacle in front. The minimum distance is maintained between the cars by
matching their speeds. By maintaining the distance vehicle collision can be avoided. Also, the gases from
the exhaust are wasted so the motion of waste gases from the exhaust pipe is used to generate power to
give battery backup for system inside the vehicle.
Aging aware relaible multiplier design using adaptive hold logic technique
Pranali Gunwantrao Gahukar, Prof. Monali Chinchamalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
High speed and low power consumption is one of the most important design objectives in integrated
circuits. Digital multipliers are most critical functional units. The overall performance of this system
depends on the throughput of multiplier design. Aging problem of transistors has a significant effect on
performance of these systems and in long term, the system may fail due to timing violations. Aging effect
can be reduced by using over-design approaches, but these leads to area, power inefficiency. Hence to
reduce the maximum power consumption and delay, variable latency multiplier with adaptive hold logic
is used. The multiplier is able to provide higher throughput through the variable latency and can adjust the
AHL circuit to mitigate performance degradation that is due to the aging effect. The proposed architecture
can be applied to image multiplication. Based on the idea of razor flip flop and adaptive hold logic the
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timing violations are reduced. In the fixed latency usage of clock cycles is increased. The re-execution of
clock cycles is reduced by using variable latency.
Area Efficient Implementation Of FM0/Manchester Encoding Using SOLS
Techniques For DSRC Applications
Prerna Bhimrao Dighule, Prof. Monali Chinchamalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
The dedicated short-range communication (DSRC) is an emerging technique to push the intelligent
transportation system into our daily life. The DSRC standards generally adopt FM0 and Manchester codes
to reach dc-balance, enhancing the signal reliability. Nevertheless, the coding-diversity between the FM0
and Manchester codes seriously limits the potential to design a fully reused VLSI architecture for both. In
this paper, the similarity-oriented logic simpliﬕcation (SOLS) technique is proposed to overcome this
limitation. The SOLS technique improves the hardware utilization rate from 57.14% to 100% for both
FM0 and Manchester encodings. The performance of this paper is evaluated on the post-layout simulation
in Taiwan Semiconductor Manufacturing Company (TSMC) 0.18-µm 1P6M CMOS technology. The
maximum operation frequency is 2 GHz and 900 MHz for Manchester and FM0 encodings, respectively.
The power consumption is 1.58 mW at 2 GHz for Manchester encoding and 1.14 mW at 900 MHz for
FM0 encoding. The core circuit area is 65.98 × 30.43 µm2. The encoding capability of this paper can
fully support the DSRC standards of America, Europe, and Japan. This paper not only develops a fully
reused VLSI architecture, but also exhibits an efficient performance compared with the existing works.
Industrial Automation Using Web Server and IOT
Amruta Bauskar, Prof Kanchan Pujari
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Abstract - The Internet of Things (IoT) is a system of interconnected computing devices, mechanical and
digital machines, objects, animals or people that are provided with unique identifiers and the ability to
transfer data over a network without requiring human to human or human to computer interaction. IOT or
internet of things is a technology that deals with bringing control of physical devices over the internet.
Wireless Industrial Automation system using IoT is a system that uses computers or mobile devices to
control basic functions and features automatically through internet from anywhere around the world. The
efficient industry automation system that allows user to efficiently control industry appliances, machines
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over the internet. The system uses a microcontroller for processing all user commands. A Wi-Fi modem is
used to connect to the internet and receive user commands. On sending commands through the internet
they are first received by our Wi-Fi modem. The modem decodes information and passes it to the
microcontroller for further processing. The microcontroller then switches loads and operates the motors as
per receiver’s commands. Also it displays the system state on an LCD display. Thus we automate entire
industry using web page and graphical user interface. The graphical user interface is a type of user
interface that allows users to interact with electronic devices through graphical icons
EFFICIENT DESIGNS OF MULTIPORTED MEMORY USING FPGA.
Rangari Trupti Yogesh, Dr. Ashok Chandak
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Abstract :
Now a day’s many applications need multi-ported memories to increase the process speed and allow write
and read memory banks from multiple ports at the same time. Most FPGAs only support dual port RAM,
and we must build by ourselves multi-port RAM from available logic elements and RAM building blocks
of FPGAs when the number of port exceeds 2. In these paper the main aim is to buit multi port memory
through bist which helps to accuracy and memory allocation respectively. Embedded memory density and
area on-chip is increasing day by day. speed test technique such as built-in self test (BIST) must be
implemented to test these embedded memories. Memory Built-in Self Test (MBIST) is the popular
approach to test embedded memories. The existing March algorithms consist of as many as four or seven
operations per March element. Therefore, it is essential to define new test algorithms which fulfill the
need of detecting new faults. A new March BLC tests having number of operations per element according
to the today‟s growing needs of embedded memory testing with enhanced fault using Verilog as a
primary language and used Model sim SE 6.5 as simulation tool.
ADVANCING IN INDUSTRIAL FIELD
Gaikwad Pankaj Shivaji, Dr Ashok Chandak
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
A wireless smart sensor platform targeted for instrumentation and predictive maintenance systems is
presented. The generic smart sensor platform with ‘plug-and-play’ capability supports hardware
interface, payload and communications needs of multiple inertial and position sensors, and actuators,
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using a RF link (Wi-Fi, Bluetooth, or RFID) for communications, in a point-to-point topology. The design
also provides means to update operating and monitoring parameters as well as sensor/RF link specific
firmware modules ‘over-the-air’. Sample implementations for industrial applications and system
performance are discussed.
Ethernet Performance Improvement in Multi-port Network System
Nalawade Tanaji Shankar, Prof. Monali Chinchamalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Ethernet network devices have their own space and importance in the network age. The real time
operations demand the network devices with greater networking bandwidth as well as efficient network
data processing. The major concern with the multi-port network devices is the performance. Today’s
resource-intensive engineering and technology applications deals with the server virtualization,
consolidation, high-volume data transactions and real-time technologies such as VoIP and video on
demand. The operations requires the sufficient network bandwidth and CPU processing speed to process
the data at a real time and this demand is continue to grow. The newer multi-port hardware technologies
provide performance improvements in virtualized server environments. But, hardware technologies
having their own limitations in terms of power consumption, CPU utilization levels, latency and more
importantly cost. This thesis will discuss some of the key software designs as well as configuration
decisions, to facilitate multi-port network devices to improve the performance over the existing
infrastructure. This will provides the solutions such as symmetric network and Virtual LAN to overcome
the hardware dependency and cost required to significantly improve the multi-port network system
performance over the current infrastructure. This improved performance includes bandwidth and CPU
utilization under the heavy network loads.
Comparative measurement of performence parameters of AODV & DSDV
Routing Protocols for Wireless Network based on NS2
Mohsin Isak Jamadar, Mr. Shailesh Jadhav
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
To design any wireless network, routing and protocol selection are of important consideration. In Mobile
Ad hoc Networks (MANET), routing protocols should have best throughput with minimum delay. And
also should have good Packet delivery ratio in adverse conditions,So the performance in critical situations
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is the main concern of mobile networks. In this project, wireless network of mobile nodes has been
compared with defined parameters and the relative analysis is carried out on Ad hoc On-demand Distance
Vector (AODV) and Destination Sequenced distance Vector (DSDV) protocols using NS2 simulator. The
Packet delivery ratio, node connections, node mobility are the common parameters used for the
comparison.
Skinput : Appropriating the Human Body as an Input
Pallavi Ramesh Khate, Prof. Manoj Sonawane
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Abstract— In this paper the work has been done on the sensitivity of human skin in such a manner that it
can be used as a touch screen. In this work human skin will be used as a touch screen as in mobiles,
laptops, tablets and all other electronic gadgets. If user find them getting annoyed at the tiny touch screens
on today's mobile devices, they might be interested in a "new" yet overlooked input surface. A new skin-
based interface called Skinput allows users to use their own hands and arms as touch screens by detecting
the various ultralow-frequency sounds produced when tapping different parts of the skin. Latest tools
available are used to simulate the results.
Keywords: Skinput, Bio-acoustics, Pico Projector, Acoustic Detector, Armband Prototype & Audio
Interfaces.
Ethernet Performance Improvement in Multi-port Network System
Nalawade Tanaji Shankar, Prof. Monali Chinchamalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Ethernet network devices have their own space and importance in the network age. The real time
operations demand the network devices with greater networking bandwidth as well as efficient network
data processing. The major concern with the multi-port network devices is the performance. Today’s
resource-intensive engineering and technology applications deals with the server virtualization,
consolidation, high-volume data transactions and real-time technologies such as VoIP and video on
demand. The operations requires the sufficient network bandwidth and CPU processing speed to process
the data at a real time and this demand is continue to grow. The newer multi-port hardware technologies
provide performance improvements in virtualized server environments. But, hardware technologies
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having their own limitations in terms of power consumption, CPU utilization levels, latency and more
importantly cost. This thesis will discuss some of the key software designs as well as configuration
decisions, to facilitate multi-port network devices to improve the performance over the existing
infrastructure. This will provides the solutions such as symmetric network and Virtual LAN to overcome
the hardware dependency and cost required to significantly improve the multi-port network system
performance over the current infrastructure. This improved performance includes bandwidth and CPU
utilization under the heavy network loads.
Detection of Acute Myelogenous Leukemia in Blood Microscopic Images by
Using Neural Network
Shweta Vishnu Awatade, Monali Chinchamalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
Blood cancer is a form of cancer which attacks the blood, bone marrow, or lymphatic system. It is
diagnosed with a blood test in which specific types of blood cells are counted by hematologist. We
considered only acute myelogenous leukemia which is one of the blood cancer types which categories
under acute leukemia and it mostly comes among adults and children. Need for automatic diagnosis of
leukemia arises when doctors recognize cancers under a microscope which has complete manual work
and it’s not good for the patient. The Automatic diagnosis system will help hematologists for easier
identification and early detection of leukemia from blood microscopic images and indirectly improves the
chances of survival for the patient. This Proposed work will mainly have composed of four main stages,
viz. preprocess stage, segmentation stage, feature extraction stage and classification stage respectively.
The condition of a patient will be shown as normal or abnormal status with the help of classifier. The
overall system performance is evaluated using the defined parameters such as sensitivity, specificity, f-
measure, and precision which are used for calculating the accuracy.
2 AXIS CO-ORDINATE MEASURING MACHINE USING PLC FOR
SMALL APPLICATIONS
Bharat Rajendra Ghorpade, Prof. Monali Chinchmalatpure
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
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The essence of this project is the designing & development of a Coordinate Measuring Machine (CMM)
for small and medium scale industries. In coordinate measuring machine (CMM), there is a need to
measure the same feature repeatedly, such machine can be useful for bulk quantities. In this research
work, calculation of dimensions is obtained with a touch probe and the work volume of the machine is
selected as 500 X 500 mm2.
IOT based reconfigurable smart sensor interface for industries using ARM
Pallavi Pandurang Karamkar, Prof Monalli
DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]
ABSTRACT
This project is used to measure and control the various parameters like Temperature, Ph and turbidity of
water in industries in process automation so as to ensure the quality of water . For this purpose various
sensor are used which records the value of Ph turbidity and temperature in real time and it on display on a
LCD. These parameters are sensed by respective sensors and sensor output is amplified and given to ADC
of the ARM Microcontroller and through GSM it is send to the user for calibration.
Along with this, implementation of Ph controlling facility remotely with help of mobile and when the
value goes above predefined set range to control it with the help of dozing pump connected to the system.
The project evolves Design of Ph sensor and amplifier,Temperature transducer design and turbidity
sensor amplifier and IR sensor.
Time Attendance and Access Control System
Neeraj Sanjay Kale, Dr. P. H. Patil
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Attendance recording and management has become very important in today’s world. Attendance is one of
the ethics valued by many employers and educational institutions. Many small scale companies and
colleges are still using the paper based method for recording and maintaining attendance. This register
keeping method is prone to manipulation and impersonation. A fingerprint and RFID based attendance
recording system would be an ideal solution. This paper provides the design method for a time attendance
and access control system based on fingerprint, RFID, WiFi and APIs which will help in designing web
based applications.
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Fault Tolerance System for Combinational Circuits Based on Selective
Transistor Redundancy
Gadekar Jyoti Maruti, Dr. P. H. Patil
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Due to advancement in CMOS technology and shrinking of feature size to nano scale, systems are turning
out to be more susceptible to manufacturing defects and soft errors. This paper is focused on designing
combinational circuits for soft error tolerance with minimal area overhead, which is necessary to
overcome error probability. The idea is based on analysing random pattern testability of faults in a circuit
and protecting sensitive transistors, whose soft error detection probability is relatively high, until desired
circuit reliability is achieved or a given area overhead constraint is met. Protection to transistors is
provided by duplicating and sizing a subset of transistors necessary for providing the protection. The
proposed algorithms are used to protect sensitive transistors whose probability of failure is relatively high
and to compute the circuit failure rate/reliability at the gate level. Simulation results show that the
proposed algorithms achieve better soft error rate reduction than other transistor sizing-based techniques.
Smart Poultry Farm Automation and Monitoring System
Geetanjali A. Choukidar, Prof. N. A. Dawande
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Integration of wireless sensors and GPRS network can be used for efficiently controlling and monitoring
environmental parameters in a poultry farm. The environmental parameters like temperature, humidity,
ammonia gas control etc. Operator can get updates regarding the internal environmental situation of
poultry farm by receiving a message on registered mobile number; he can also access the data using a web
page. System will initiate the action automatically to control the environmental parameters when there is a
sudden change in climate. Sensors are used to control Water level and food dispensing mechanism. All
the sensors are connected with the raspberry pi which can control and monitor all data. The data is
transmitted using GPRS, and detailed record of poultry farm with environmental condition can later be
stored and viewed on a webpage. Thus the system design provides an efficient automated poultry farm
monitoring system to monitor the healthy atmosphere for chickens in poultry farm without human
interference.
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Analysis Of Dynamic Voltage Comparators in Ultra-Low Supply Voltages For
High Speed ADCs
Vaishali Dattatrya Jamalpure, Prof. N. A. Dawande
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
The conventional dynamic comparators have features like high input impedance, no static power
dissipation and good robustness against noise and mismatch. The need for ultra- low power and area
efficient analog -to- digital converters (ADCs) is pushing towards the use of low voltage CMOS dynamic
comparators to maximize the power efficiency and speed. The drawback is that large numbers of
transistors are used to minimize the offset, so the speed of the comparator is degraded. It reduces
drawbacks, But the transconductanceis low for this comparator. In low power double tail comparator,
without complicating the design and by adding few transistors the positive feedback in the regeneration is
strengthened with results in reduced delay time. In this work, I am going to focus on analyzing the delay
of different dynamic comparators with respect to speed and supply voltage. Then based on the delay
analysis results, the conventional dynamic comparator is modified in terms of transistor technology and
architecture results as body driven comparator for fast operation even in ultra low supply voltages in
90nm CMOS technology. The objective is to reduce the delay and increase the speed of transmission. I
will then also modify the proposed design to further reduce the transistor count so as to change area. And
will compared the delay analysis of proposed design with existing systems.
Simulation Analysis of Multimodal Biometric Recognition using Artificial
Neural Network
Satish Babar, Dr. P. H. Patil
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Personnel identification and verification systems are emerging fields in recent years. Biometric
identification is considered as best method for offering security, to avoid unauthorized access.
Multimodal biometrics is used now a days because the previously used unimodal biometric system has
various drawbacks such as unacceptable error rates, noisy data and variations. So a reliable and better
recognition system requires robust multimodal biometric systems. Here, a new multimodal biometric
system is proposed for recognition purpose called Artificial Neural Network (ANN). Face and Ear are the
two traits used here. The benefit of using ANN is that it has got that mush tolerance level that even if
captured image is little bit vary from its original place or position, ANN will not through an error. Paper
presents the simulation results of the human identification using ANN. Error reduction is done by using
haar filters. We have to train the system to identify or match the face and ear. Based on the input image
comparison will be done and system will produce the results accordingly.
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Different Orientation Based Fingerprint Recognition
Kaveri Vilasrao Bhagat, Prof. S. R. Gulhane
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Fingerprint recognition is one of the method to identify between two or more persons. This method is
commonly applicable in many industries, The technology provide higher security than traditional methods
such as signature, pins, smart cards etc. With the help of features which are extracted from human
fingerprints the input image is analyzed and compared with database to find authorized person. Oriented
images are also recognized with the help of different algorithms such as DWT with Gabor filter, haar
wavelet transform. By using these algorithms here we recognized different oriented images such as
0°,45°,90°,etc.
Aging-Aware Reliable Multiplier Design With Adaptive Hold Logic
Sushant Jalindar Sawant, Prof S. S. Badhe
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
Digital multipliers are among the most critical arithmetic functional units. The overall performance of
these systems depends on the throughput of the multiplier. Meanwhile, the negative bias temperature
instability effect occurs when a pMOS transistor is under negative bias (Vgs = −Vdd), increasing the
threshold voltage of the pMOS transistor, and reducing multiplier speed. A similar phenomenon, positive
bias temperature instability, occurs when an nMOS transistor is under positive bias. Both effects degrade
transistor speed, and in the long term, the system may fail due to timing violations. Therefore, it is
important to design reliable high-performance multipliers. In this paper, we propose an aging-aware
multiplier design with a novel adaptive hold logic (AHL) circuit. The multiplier is able to provide higher
throughput through the variable latency and can adjust the AHL circuit to mitigate performance
degradation that is due to the aging effect. Moreover, the proposed architecture can be applied to a
column- or row-bypassing multiplier. The experimental results show that our proposed architecture with
16 ×16 and 32 ×32 column-bypassing multipliers can attain up to 62.88% and 76.28% performance
improvement, respectively, compared with 16×16 and 32×32 fixed-latency column-bypassing
multipliers. Furthermore, our proposed architecture with 16 × 16 and 32 × 32 row-bypassing
multipliers can achieve up to 80.17% and 69.40% performance improvement as compared with 16×16
and 32 × 32 fixed-latency row-bypassing multipliers.
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Speech Emotion Recognition with Gender and Tone Identification
Rushikesh Anand Gade, Prof. S. R. Gulhane
Dr. D. Y. PATIL COE, TALEGAON [067]
ABSTRACT
This paper proposes a system that permits recognizing a person’s emotional state beginning from audio
signal registrations. As of late, studies have been performed on harmony features for speech emotion
recognition with gender and tone features. It is found in our review that the first- and second-order
differences of harmony features also play an important role in speech emotion recognition. Therefore, we
propose a new Fourier parameter model uses the perceptual content of voice quality and the first- and
second-order differences for speaker-independent speech emotion recognition. The newer feature
extraction algorithm called Power Normalized Cepstral Coefficients (PNCC) that is motivated by sound
processing. Major new features of PNCC processing include the utilization of a power-law nonlinearity
that replaces the conventional log nonlinearity utilized as a part of MFCC coefficients, a noise-
suppression algorithm based on asymmetric filtering that suppresses background excitation, and a module
that accomplishes temporal masking. We additionally propose the utilization of medium-time energy
analysis, in which environmental parameters are estimated over a longer duration than is usually used for
speech, as well as frequency smoothing. The obtained results show also that the features selection
adoption assures a satisfying recognition rate and allows diminishing the employed features. Future
improvements of the proposed solution may be include the implementation of this system over mobile
devices such as smartphones.
Advancement of brain tumor detection using SOM-Clustering and Proximal
Support Vector Machine than using Combination of Fuzzy C-Means and
SVM
Vidhate Ashok Dnyandeo, Prof. S.G. Hate
G. H. RAISONI COE & MANG. AHMEDNAGAR [066]
ABSTRACT
In recent days, image processing is an interesting research field and mainly the medical image processing
is increasingly challenging field to process various medical image types. In this paper we have find out
advanced technique for detection of brain tumor using SOM-clustring for image segmentation & PSVM
is used to automatically detect the tumor from MRI brain image the result is compared with existing a
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hybrid technique based on the support vector machine (SVM) and fuzzy c-means. The result shows the
accuracy comparison result of existing SVM and proposed PSVM algorithm, it is well known that the
proposed system works better than existing SVM system with the high accuracy, high precision rate,
high recall rate as it has less execution time than the SVM algorithm.
Design and Analysis of Frequency Reconfigurable Microstrip Patch Antenna
Kalamkar Sanket Shrikant, Prof. Bhope V.P.
G. H. RAISONI COE & MANG. AHMEDNAGAR [066]
ABSTRACT
Antennas are necessary and vital components of communication and radar systems however their ability
to adjust to new operating scenarios can limit system performance. Recent developments in the field of
radar technology continue to drive the requirements for reconfigurable antennas which can adjust with
changing system requirements or environmental conditions and provide additional levels of functionality
that may result in wider instantaneous frequency bandwidths, more extensive scan volumes, and radiation
patterns with more desirable side lobe distributions. To overcome the challenges of multi-frequency
operation a new scheme of frequency reconfiguration is proposed. In the proposed design a rectangular
patch antenna with inverted ‘U’ shaped slot at the center frequency 9.5 GHz that can be reconfigured in
the frequency range of 5.3- 5.7 GHz . PIN diodes are used for carrying out reconfiguration. The antenna is
designed on FR4 substrate (εr= 4.4) of thickness (H) 0.8 mm. The proposed structure was simulated by
using the High Frequency Structure Software (HFSS). The simulated and experimentally measured return
loss for different configuration are less than -10dB at resonance frequencies. The simulated are very
exciting and show the close agreement with proposed design.
Energy Efficient Storage-Less And Converter-Less Renewable Energy
Harvesting System Using MPPT
Supriya Gaikwad, Ms.Munmun Ghosal
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
Harvesting energy from the renewable resources give many benefits for internet of things, low power
networks like in WSN & also high power indoor apps. Most practical soln. of generating power from
waste or the natural renewable resources such as PV cells, wind turbines etc. when measured in terms of
power density in the available energy harvesting sources. PV power systems mandate the maximum
power point tracking to collect useful & max.Possible solar energy while dc motor help us harvesting
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kinetic energy.In traditional switching mode converters an energy storage element provides power to the
load device, thus increasing the overall cost in terms of volume ,weight, also a significant loss in
energy,typically above 20%.This project will majorly focus on harvesting solar & kinetic energy to
supply directly to the load device & increasing the overall efficiency throughout the day & night for low
power apps, internet of things, & indoor apps.
Data Transmission using an Efficient Tree-Based Self-Organizing Protocol
Arti Ramrao Mandlik, Ms.Bharti Patil
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
The use of Wireless Sensor Network to handle more complex functions is increasing drastically. We
proposed methods and algorithms to implement ETPS (Efficient Tree-Based Self Organizing Protocol) a
new Network model and route algorithms to improve reliability and efficiency of communication. In
ETSP, all Nodes are partitioned into two kind: Network node and non-Network node. For joining the
network we use self organizing process, in that we use different metrics such as child node, hope,
communication distance and residual energy to reach available sink node. With maximum weight we
select the sink node. Tree Network is formed layer by layer when Non-Network node can be transformed
into Network node. These tree network topology is adjusted dynamically to balance energy consumption
and prolong network life time. Simulation results show that our proposed protocol can construct a reliable
tree-based network with higher success rate at very fast timing.
Close Human Interaction Recognition Using Patch Aware Model
Pradhnya Pawar, Ms.Bharti Patil
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
This project identifies close interacting human with close physical contact from recordings. Because of
ambiguities in individual's features, continuous impediments in close interactions, it is difficult to
precisely extract the interacting individuals and their suspicious activities/actions. This impacts the human
recognition model. Here we propose a model which captures temporal dynamics of human actions and
associates an arrangement of hidden variables with spatio-temporal patches and discriminatively interpret
their states. This demonstrates the individual that the patches have a place with. This patch aware-model
records distinguishable supporting regions of people, and overcomes the issue of ambiguities in highlight
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assignments. Utilizing the discriminative supporting areas, our model precisely acknowledges
communicating human and their actions.
DECENTRALISED AUTONOMOUS ENERGY SUPPLY AND
MONITORING SYSTEM FOR RURAL AREAS
Pooja Ahirwar, Ms.Munmun Ghosal
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
Autonomous and decentralized energy with renewable sources present an effective approach for an
economic energy supply to rural areas. Advanced control methods are needed to improve the energy
dispatch, enable a cost efficient operation and guarantee an uninterrupted power supply. A real-time
energy monitoring system for grid tied Photovoltaic installations is to be developed. This system consists
of an advanced control strategy for the optimal microgrid operation. The first optimization layer presents
an optimal control problem, based on real-time predictions of future power profiles, for the calculation of
the optimal energy dispatch. To improve the robustness of the control strategy toward prediction errors, a
boundary value problem is solved to adjust the diesel generator power in the second stage & then at the
other receiving end displays the real-time graph of the generated solar energy and the total energy
consumed by the load, in this case, a residential load.
FPGA Implementation of DWT for ECG Signal Pre-Processing
Ashwini Deshmukh, Ms.Manish Waje
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
In recent years, biosensors (ECG) have played an important role in the determination of pesticides,
because the compounds used in its composition have anticholinergic properties and therefore strongly
inhibit cholinesterase enzymes. Evaluation of cholinesterase activity is the crucial factor in the
construction of biosensors, however, in the case of multi-component samples is absolutely essential
include appropriate data processing tools to find relationships between the biosensor responses and the
measured data. In most cases, it is necessary a first data pretreatment step in order to explore and validate
these obtained information. The presence of interference signals in the biosensor response mainly
contaminated by signals coming for the electrochemical equipment. Wavelet Transform has been widely
employed in signal processing analysis where denoising and compression is an important step in the data
mining process. WT has been proved to be fast and reliable than traditional methods.
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Smart Public Transport System
Anita R.K Vishwakarma, Mrs.Manisha Waje
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
The project has been developed to provide public Smart Assistance in Public Transport System. The
project is to be implemented for public bus .It has entire smart assistance system required for public
security, safety. The smart system includes safety form rash driving as well. It has accident detection and
monitoring facility. It is user friendly application for user to track bus on smart their phones. The smart
system designed has both online and offline for user friendly service. It allows user to save its time by
acknowledging no. of persons present in the bus as well as no. of seats available in the bus along with the
current and next stop acknowledgment with its arrival timings. It also has ramp facility for handicap
people. The system also many additions feature to make public transport system an intelligent and easy to
use system that,It can take smart advantage of it.
Fault Tolerance Technique for FPGA Implementation of Cryptographic
Circuit
Rahul Prakash Karpe, Mrs. Vaishali Raut
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
Reconfigurable devices are the programmable devices used to execute complex capacities in applications
like space missions, correspondence frameworks, atomic frameworks and so forth. They are prominently
known as the field programmable gate array (FPGAs). The FPGA is used in many applications such as
cryptography, reliability of hardware is very much vital. The framework or system should be designed as
a fault tolerant system. Fault tolerant is the capacity of a system to work typically given the state of
defects or in any faults i.e. stuck at 1, stuck at 0. FPGAs have made it possible to consolidate adaptation
to internal failure into frameworks at less expensive cost. In order to design fault tolerance technique the
idea of TMR that is Triple Modular Redundancy is utilized.
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Co-ordinated Beamforming Technique Using MIMO for Underlay Spectrum
Sharing
Tejashree Khanderao Bhosale, Mrs. Tanuja Dhope
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
The beamforming strategies have been as of late
concentrated on as could reasonably be expected empowering
influences for underlay range sharing. The current beamforming
strategies have a few basic impediments: they are generally
framework model particular, cant work with discretionary
number of transmit/get recieving wires, and cant serve
discretionary number of clients. Additionally, the beamforming
methods for underlay range sharing dont consider the obstruction
starting from the officeholder essential framework. This paper
enhances the fundamental underlay sharing model by melding
the impedance beginning from the inhabitant system into insipid
joined beamforming plot that can be associated on impediment,
impart, or diverse get to channels. This hypothesis proposes two
novel multiuser beamforming figurings for aggregate rate and
decency enhancement and aggregate rate help, utilizing as of late
decided angled change issues for transmit and get beamformers
estimation in a recursive progression.
Efficient Utilization of the channels for Multicasting Wireless Multimedia in
Multi- rate Multi- channel Mesh Networks.
Shruti Shinde, Meeta Bakuli
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
The devices that are present in wireless mesh networks (WMN) automatically adjust their transmission
rates for those occupied channels and operates on multiple channels. This paper shows how to enhance
the execution ensured performance oriented multicasting transmission coverage for wireless mesh
networks (WMN) remote by investigating the transmission offered by multiple rates (MR) and multiple
channels (MC). For this, we propose parallel low-rate transmissions (PLT) and alternative rate
transmissions (ART) and then apply these new transmission schemes to enhance the WMN multicast
experience. For the reliable interference-controlled connections, the MRMC multicast algorithm (LC-
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MRMC) is intended to make productive utilization of channel and rate resources to significantly broaden
wireless multicast coverage with greater throughput and short delay performance.
Keywords— Wireless multicast, multi-rate, multi-channel, wireless mesh networks.
The smart bar axle in car
Abhishek Yadav, Dr Ashish Gupta
G.H.RAISONI CEM, WAGHOLI [46]
ABSTRACT
Over the last few years, automotive electronics and wireless technologies have grown by leaps and
bounds.1 Advancement in these technologies, combined with device convergence and changing lifestyle
demands, are enabling the automobile to extend the driving experience beyond traditional vehicle
transport. Vehicles face growing security threats as they become increasingly connected with the external
world. Hackers, researchers, and car hobbyists have compromised security keys used by the electronic
control units (ECUs) on vehicles, modified ECU software, and hacked wireless transmissions from
vehicle key fobs and tire monitoring sensors, using low-cost commercially available tools. However, the
most damaging security threats to vehicles are only emerging. One such threat is malware, which can
infect vehicles in a variety of ways and cause severe consequences. Defending vehicles against malware
attacks must address many unique challenges that have not been well addressed in other types of
networks. This paper identifies those vehicle-specific challenges, discusses existing solutions and their
limitations, and presents a cloud-assisted vehicle malware defense framework that can address these
challenges.
Clothing pattern recognition for visually impaired people
Tejas Prashant Walvekar, Mrs.P.Reddy
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract- Visually impaired people find it very difficult while choosing clothes with complex patterns and
colors. Pattern Recognition techniques can be implemented to carry out automatic clothing pattern
recognition. For last few decades, researchers find Automatic clothing pattern recognition as a
challenging research problem considering the factors of scaling, illumination, rotation and especially large
intra class pattern variations. A camera based system can be used to recognizes the clothing patterns in
different categories and also to identify few basic colors. Features of the captured image can be extracted
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using few special functioned descriptors. After identifying the features, SVM (support vector machine)
classifies the images in order to their categories. Clothing pattern dataset can be used to identify
effectiveness of the system.
Background Subtraction Algorithm Based Abandoned Object Detection
Trupti Mukund Bhumkar, Mr.N.B.Hulle
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract- Abandoned object detection is a basic necessity in numerous video observation settings. Two
background short term and long term are built and refreshed persistently continuously. Change detection
Mean-ratio and Log Ratio operators can be utilized. To accomplish higher exactness combination.
Movement based criteria should be connected for static and moving object detection. Proposed strategy
can distinguish little deserted objects inside low quality observation recordings, and it is additionally
strong to the fluctuating illuminations and dynamic background.
Psoc Hardware of the LSB Image Steganography
Swati Gangadhar Patil, Mr.A.M.Bongale
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract- This paper displays a data concealing procedure that uses lifting plans to adequately shroud data
in shading pictures. A fruitful data covering up ought to bring about the extraction of the concealed
information from the picture with high level of information honesty. Current patterns support utilizing
advanced picture documents as the cover record to conceal another computerized record that contains the
mystery message or data.
Diverse floods of computerized media can be utilized as a cover stream for a mystery message.
Steganography is the specialty of composing mystery messages so that exclusive the sender and the
expected beneficiary know about the concealed message. This paper presents a strategy for mystery
message encoding that makes utilization of wavelets. Wavelets separate the stream into high and low
recurrence segment parts called points of interest and patterns.
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Real time Object Tracking and Detection Using Raspberry Pi
Dhanashri Vijayrao Madhekar, Mrs.M.R.Bachute
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract—Detection and tracking of moving object is a challenging task. In this paper algorithm for real
time detection and tracking of object is proposed. The system consists of camera and Raspberry pi and the
PC. Camera continuously captures the video. It is send to Raspberry pi for further processing. Blob
detection analysis is performed in which objects gets detected based on their shapes. Bounding box
algorithm is applied which continuously tracks the object based on information from the boundary pixels
by using horizontal and vertical scan from left to right and top to the bottom to locate the boundary
points. These boundary points are used to track the object through boundary box.
Implementation and Analysis of Authentication in Wireless Sensor Network
using Zigbee
Smita Shashidhar Kulkarni, Mr. A.D.Bhoi
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Most Wireless Sensor Network (WSN) consist of various sensor nodes deployed at various locations. As
these nodes are deployed at remote locations their security issue gains importance. Algorithms used for
security depends on key size, computational time, power requirement. There are various symmetric and
asymmetric cryptography algorithms like AES, DES, 3DES and RSA, ECC algorithm etc. Symmetric
algorithm have advantages, as same key for encryption and decryption, lower power consumption.
Asymmetric cryptography includes complex computations so hard to decrypt but also require more power
than symmetric cryptographic algorithms. So considering advantages and disadvantages of both
cryptographic techniques, in this proposed system, combining of AES and ECC for Wireless Sensor
Network (WSN) using ZigBee. In this system data gathered from temperature, humidity and smoke
sensor are applied to ECC encryption and then send to ZigBee transmitter. At receiver side data is
decrypted using ECC algorithm and original data is recovered.
Reconfigurable hardware implementation of fused add multiply operator
Mohammed Ilyas Shaikh Khwaja, Mr.V.A.Suryawanshi
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G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract—Arithmetic operations are now a days used in digital signal processing applications.Here we
will focused on implementation of fused add multiply operator. For getting recoding of sum of two
numbers we will implement a technique called sum of two numbers in its modified booth. We introduce
three different types of recoding technique. For using actual recoding technique we will compare with
Fused add multiply designs. Here the technique which will be used that reduced some factors like delay,
complexity ofhardware and power consume of the Fused add multiply unit.
Performance Analysis of Route Discovery Model based on RSS
Sayali Ghogare, Mr.A.D.Bhoi
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Recently wireless communication devices have increased and therefore it has created the need for
developing new technologies. There is an increased user demand to communicate with each other
without relying on any infrastructure. A Wireless Ad-hoc NETwork (WANET) or Mobile Ad-hoc
NETwork (MANET) has no centralized control, no topology and is infrastructure-less. In MANET few
nodes come together to form network. Even if the source and the destination nodes will not be in direct
communication range, still they connected to each other with multi-hop scenarios. In this paper an
efficient route discovery algorithm for finding the shortest path between two nodes which are randomly
moving in the free space are considered. Calculating and analyzing the relationship of RSS with the
changing node distance for different protocols is studied. The focus will be given on the simulation and
analysis of the behavior of routing protocols for MANETS.
Model based design for noise removal by spectral subtraction for hearing Aid
Kuldeep Sudhakar Kapse, Mr.N.B.Hulle
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Abstract—This article deals with the removal of noise signal in the audio signal with the spectral
subtraction of the noise and sub-band amplification for the improving the intelligibility of speech in signal
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for the hearing aid so that the person experiences the good quality of the speech signal over the analog
hearing aid in the market with the less power consumption as compared with analog hearing aid.
yawning detection to prevent road accidents
Amruta Sanjay Kaitake, Mr.V.A.Suryawanshi
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
For the safety purpose of drivers yawning detection is very important. There are many important
applications of yawning in a drivers fatigue detection, humans well behavior, driving behavior and
understanding the language of tongue disability person. It is observed that heavy vehicle drivers keep
going continuously driving without giving a frequent rest period. Considering above applications, an
automatic detection of yawning is one important system component. Uptil now yawning detection system
does not satisfy the real time requirement which is having a high computational complexity and does not
satisfies the challenges like facial obstruction, ease of implementation, accuracy and safety. Uptil now
there is no any idea suggested or presented on vehicle side hardware. In this paper we will be reviewing
hardware of engine start or stop control by using microcontroller.
For yawning detection two different algorithms are used such as for face viola-Jones and mouth detection
contour activation algorithm. Previously presented systems are in position to recognize other persons
faces while finding the biggest face in all of the frame that we are interested and other faces also
considered, hence face search time is not optimized. By studying these disadvantages of traditional
yawning detection method possible improvement algorithm is proposed.
N, P, K Detection & Control for Agriculture Applications using PIC
Controller
Laxmi Gavade, Mr.A.D.Bhoi
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
The main way of this paper is to review different detection of N, P and K contents, humidity of the soil by
using sensors and also monitor the temperature and sunlight in the agricultural field. Computation of N
(Nitrogen), P (Phosphorus), and K (Potassium) accessories of soil is necessary to decide proper
percentage of nutrients is to be added in the soil to increase crop fertility. This civilizes the property of the
soil which in turn yields a good quality crop.
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In the present work fiber optic based color sensor has been dilated to decide N, P, & K values in the soil
sample. The color sensor is based on the principle of absorption of color by solution. It helps in
determining the N, P, K amounts as high, medium, low or none.
The sensor probe along with proper signal conditioning circuits is built to detect the deficient component
of the soil. It is helpful in dispensing only required amount of fertilizers in the soil.
Implimentation of wireless sensor Network with ESP-12E and linux
Raspberry Pi in Heating,Ventilation and Air Conditioning Application.
Khot Prashant Tukaram, Mr.N.B.Hulle
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Internet of Things is an arising technology in this decade. According to market researcher 50 billion
devices will get connected to internet by 2020. The Heating, Ventilation and Air-Conditioning is mainly
distributed sensor network. In which, Air Handling Unit Handles Air as per Temperature Requirement
Zone wise. In Traditional HVAC System, all AHU are connected to Building Management System
(BMS) through MODBUS or RS232. Adopting New technology of IOT in this field is the focus of this
Project. ARM based Raspberry Pi 3 and Low Cost, Low power Wi-Fi module ESP-12E are key Hardware
of this project. Sensors DS18B20 and DHT11 are used for measuring Temperature and Humidity. The
Raspbian OS based Raspberry Pi 3 B with Apache2 is a small and efficient web server used as Central
Unit whereas ESP-12E are used as wireless node which communicate with central unit through Wi-Fi. All
Sensors Data is processed and stored in MySQL database. The Web-UI gives monitoring and controlling
ability of Full System to User from anywhere in world.
Novel Advanced Encryption Standard(AES) Implimentation approach using
Genetic Algorithium
Nevase Amit Madhukar, Mr.N.B.Hulle
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
During the last few years, in the field of electronic data transmissions cryptography has vital importance.
Advanced Encryption Standard (AES) designated by National Institute of Standards and Technology
(NIST), to overcome the disadvantages of Data Encryption Standard (DES). The AES is widely used
encryption algorithm in different security applications. The AES standard uses key size of 128, 192 and
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256 bit to provide more secure data. AES generates keys through the properties of the Rijndael Algorithm
instead of conventional method of the key generation. This project introduces a new encryption technique
where the Genetic Algorithms are used for key generation, this generated key is used for formation of S-
Box. This new approach for AES S-Box to enhance the complexity of the structure of S-Box, making
AES stronger by using Dynamic S-Box. In the hardware aspect, larger key size also means large area and
minimum throughput. This project also introduces the pipelining architecture to increase the throughput.
Advance Encryption algorithm can be relatively efficiently implemented in software on general-purpose
processors, there is still a need for selection of better architecture for implementation of Advanced
Encryption Standard. This project also presents the suitable FPGA architecture to implement Advanced
Encryption Standard.
Face Recognition System based on Principal Component Analysis
Harshada Kardile, Mrs.Varsha Nanaware
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
Face recognition is the bio metric technology for the purpose of authentication of the person for particular
applications. It has wide range of applications such as banking access control, human computer
interaction, information security, database retrieval, virtual reality etc. In proposed system face
recognition system based on Principal Component Analysis is implemented. In this system, face gets
recognized after feature extraction and principal component analysis. System sends one time password to
person’s mobile number through GSM modem. This is the second level authentication of the person. The
whole algorithm is implemented in MATLAB.
Development of Inertial Navigation System based on Accelerometer and
Gyroscope
Sai Prashant Ambildhok, Mr.N.B.Hulle
G.H.RAISONI IET, WAGHOLI [54]
ABSTRACT
The navigation system provides the position and velocity of the object which plays key role in many
applications. It becomes necessary to design and implement inertial navigation systems. In this paper, we
proposed inertial navigation system based on arduino microcontroller in which measurements are
provided by IR sensor and MPU 6050 sensor which is a combination of accelerometers and gyroscopes.
The sensor gives position of the object from its starting point, distance travelled by the object, orientation
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and velocity of an object.IR sensor measures the distance based on the rotation of the vehicle. Based on
the distance and direction of vehicle buzzer gets on indicating that vehicle is going outside the restricted
area. These data is send to PC and its motion results are plotted in MATLAB.
Fault detection for PLC
Alok Shrikant Pawar, Sachin B. Abhang
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Currently, industry are abundant with various automation solutions at various manufacturing system.
These systems are critical for maintenance for operator and the output of automation solution are
expected to provide throughput at its best. The detection of real-time faults and its diagnosis are very
critical operations. As various sensors are interfaced in all types of automobile system that have stretched
the limits for any Programmable Logic Controller (PLCs) and due to this some of the specific PLCs are
only applicable of the automation system. Automation system consists of major part as actuators, MEMS
sensors and along with some complex logic control circuit that has add complexity to the overall system.
This paper discuss the faults detection that is related to timing and its methodology of detection for PLC.
Monitoring Driver Distraction in Real Time using Computer Vision System
Ankita Sadashivrao Kulkarni, Sagar.B.Shinde
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Drivers with a fatigue condition have always become basic problem for many accidents. Driver supposes
required to identify the object in front of the vehicle and need to understand the causes of accidents and
trouble in vehicle control. Now a day with the increasing traffic conditions, possibility for accidents is
increased in a large space because driver is unable to detect themselves the type of fatigue condition they
are suffering while driving. So the reason we are going to develop the system which always monitors
driver’s to avoid accidents in real time. This paper describes dissimilar methods existing for detecting the
crisis of driver vigilance and then with comparison of all also chooses best system out of those accessible.
As of comparison with all existing methods we have implemented a device which always monitors driver
vigilance in real-time using computer vision system which consist of main components as, Raspberry Pi
which is specially designed for hardware platform, video camera, and the alarm system for alerting.
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Design & Analysis MIMO Microstrip Antenna with Improved mutual
coupling For WLAN Application
Jadhav Gauri Krushnat, Sachin Abhang
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Multiple transmit and multiple receive antennas has emerged as one of the most significant
technicalbreakthroughs in next generation wireless communications. MIMO is considered a key
technology for improving the throughput of future wireless broadband data systems; MIMO is the use of
multiple antennas at both the transmitter and receiver to improve Communication performance. MIMO
technology has attracted attention in wireless communications, because it offers Significant increases in
data throughput and link range without requiring additional bandwidth or transmit power, higher spectral
efficiency and reduced fading. Because of these properties, MIMO is an important part of modern
wireless communication standards such as IEEE 802.11n (Wifi), IEEE 802.16e (WiMAX), 3GPP Long
Term Evolution (LTE), 3GPP HSPA+, 4G and 5G systems to come.
MIMO systems employing wideband microstrip patch antenna is the fastest growing field of technology
which has captured the attention of day to day life in the future Wireless Communications due to their
tremendous spectral efficiency.The most pressing problems in Wireless Communications will be spectral
efficiency and interference in the next decade. Wireless Internet, mobile video and data communication
will push the spectrum to its limitations. In the same way interference with other services will be
increased by the increasing use of spectrum. Taking this into the account the most prominent task is to
increase the spectral efficiency and to introduce measures for interference reduction. MIMO systems
promise to reach very large data rates and there with high spectral efficiencies.
Automatic Detection and Segmentation of Nuclei in Brain Tumor Tissue
Images Using Lloyd’s Clustering
Jadhav Lalaso Anandrao, Sagar B. Shinde
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Analysis of preferential localization of certain genes within the cell nuclei is emerging as a new technique
for the diagnosis of brain tumor. Computer-aided methods, which can significantly improve the
objectivity and reproducibility, have attracted a great deal of interest in recent literatures. Computer based
system to analyze nucleus or cell detection and segmentation plays a very important role to describe the
molecular morphological information. In this paper, we provide a comprehensive summary of the recent
state-of-the-art nucleus/cell segmentation on different types of microscopy images of brain tumor. The
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proposed method differs from others in, the simplicity of the developed approach and use of these
algorithms to segment and detect nucleated cells.
ENERGY EFFICIENT CO-GPS WITH REDUCED DUTY CYCLE
ENVIRONMENT MONITORING
Karale Priya Dattatray, Prof. S. B. Shinde
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Advancements in silicon technology, embedded systems, sensors, micro electro mechanical systems and
wireless communications have led to the emergence of embedded wireless sensor networks (EWSNs).
Proposed system is an embedded system which uses ARM & different wireless sensor network. Location
is a fundamental service for mobile computing. Typical widely available GPS receivers consume high
energy, which limits its usefulness in any applications. In many sensing scenarios, preprocessing of
location information is adequate at the time of data uploading to a server, Cloud-Offloaded GPS (CO-
GPS) solution is designed that allows a sensing device to forces to manage duty-cycle its GPS receiver
and log just raw data GPS signal for post processing. Cloud can compute good quality GPS location can
be derived by using publicly available information such as GNSS satellite ephemeris and an Earth
elevation database service, from a few milliseconds of raw data. GPS Module give us the output in terms
of Latitude & Longitude of the location. Using GPRS module at we can collect all the information from
the wireless sensor nodes & we can transmit it to the server. By using webpage, all the status of the
system can be monitored.
Smart ATM access and Security System using Biometric and OTP
Technology
Lakhe Madhura Raju, S.S. Savkare
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
The main aim of this project is to provide security for ATM Centers by using IRIS Recognition. For the
traditional ATM terminal, customer recognition systems rely only on bank cards, passwords and such
identity verification methods which measures are not perfect and functions are too single. For solving the
bugs of traditional ones, there is need to designs new ATM terminal recognition systems to verify the
IRIS or face of the Acc holder of the bank at ATM Center. The use of Biometric ATM’s based on IRIS
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recognition technology providing a safe and paperless banking environment. The iris recognition systems
have recently shown very high accuracies in verifying an individual’s identity. This completely eliminates
the chances of fraud due to theft and duplicity of the ATM cards. This project helps for maximum
security for the ATM users. This project will detect the iris of the user and allows the person to make
transactions, by using matlab it detects the human IRIS and allows person for the transaction and sends
the message automatically. Once we receive the OTP (One Time Password) we need to enter that key and
then it allows the transactions, plus when the attacker try to damage the ATM machine vibration detection
sensors gets activated. A message is passed to the nearby police stations with the help of GSM modem
and door will get lock. We can remotely monitor the user accounts for Authorized or unauthorized Access
by using Internet of Things (IOT).
Obstacle Detector Vehicle System
Nimse Dnyaneshwar Vijay, S.S.Savkare
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
This venture containing dynamic control plan for robotized driving of vision-based
self-ruling vehicles, with an ex-traordinary concentrate on the planned controlling and
braking control in crisis hindrance shirking. A self-governing vehicle is a complex multiinput and multi-
yield (MIMO) framework, which has the elements of parameter
vulnerabilities and solid nonlin-earities, and the coupled marvels of longitudinal and
horizontal progression are clear in a joined cornering and braking move. A viable facilitated
control framework for mechanized driving is proposed to manage these coupled and
nonlinear elements and reject the unsettling influences. Initial, a dream calculation is
developed to recognize the reference way and give the nearby area data amongst vehicles
and reference way continuously. At that point, a novel composed controlling and braking
control methodology is proposed in view of the nonlinear back venturing control hypothesis
and the versatile fluffy sliding-mode control strategy, and the asymptotic merging of the
proposed facilitated control framework is demonstrated by the Lyapunov hypothesis. At long
last, test tests show that the proposed control methodol-ogy has great following execution
and improves the riding solace and solidness of self-sufficient vehicles.
ECU Diagnostics Validator using CANUSB
Sutar Abhijit Dhondiram, Sagar Shinde
JSPM Narhe Technical Campus, Narhe [100]
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ABSTRACT
In automobile an OBD (On Board Diagnostics) enables the ECU (Electronic Control Unit) to detect the
malfunction of vehicle systems and take necessary corrective actions to prevent the accidents and hazards.
Thus the diagnostics enables the driver and passenger safety. Most of the OEMs, Tier-1, and Tier-2 use a
Vector Tool "CANoe" for ECU diagnostics validation during ECU development phase. The CANoe tool
is very costly. Its cost is ~ €10,000.
The project entitled "ECU Diagnostics Validator using CANUSB" is a cost effective tool that can be used
to perform similar functionality of ECU diagnostics validation during ECU development phase. It uses
CANUSB hardware and application software developed in Microsoft C# language. It is the special tool
responsible for transmitting and receiving various CAN messages to/from ECU over single channel.
Using this tool, the diagnostic messages and vehicle simulated messages can be sent and response can be
validated. The tool is having user friendly easy to use GUI, manual as well as cyclic auto transmission
mode with message logging feature. The overall tool cost is ~ ₹35,000.
The tool provides a 'Trace Window'. Using the Trace Window, the user can monitor the CAN
communication occurring on the CAN bus. The Trace Window helps to analyze the Diagnostics Request
Response. Thus enables to perform ECU diagnostics validation and helps to develop safety compliant
robust ECUs, ultimately enabling the driver and passenger safety. The tool can be enhanced further to be
used as 'Vehicle Health Monitoring System'.
Green house automatic control system on wireless sensor network
Tamboli Tausif Mubarak, S.B.Abhang
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Monitoring and control of greenhouse environment play an important role in greenhouse production and
management. To monitor the greenhouse environment parameters effectively, it is necessary to design a
measurement and control system. The objective of this project is to design a simple, easy to install,
microcontroller-based circuit to monitor and record the values of temperature, humidity, soil moisture and
sunlight of the natural environment that are continuously modified and controlled in order optimize them
to achieve maximum plant growth and yield. The controller used is a low power, cost efficient chip
manufactured by ATMEL having 8K bytes of on-chip flash memory. It communicates with the various
sensor modules in real-time in order to control the light, aeration and drainage process efficiently inside a
greenhouse by actuating a cooler, fogger, dripper and lights respectively according to the necessary
condition of the crops. An integrated Liquid crystal display (LCD) is also used for real time display of
data acquired from the various sensors and the status of the various devices. Also, the use of easily
available components reduces the manufacturing and maintenance costs. The design is quite flexible as
the software can be changed any time. It can thus be tailor-made to the specific requirements of the user.
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This makes the proposed system to be an economical, portable and a low maintenance solution for
greenhouse applications, especially in rural areas and for small scale agriculturists.
PERSONAL IDENTIFICATION AND VERIFICATION USING HAND
BASED BIOMETRIC FEATURES
Tondare Neha Shivajirao, S.S.Savkare
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Biometric system becomes more reliable source for identification and verification of person. Different
industry and organizations widely use unimodal biometric system for person authentication purpose .Even
though, unimodal systems are well developed, has its own limitations. Unimodal system is capable of
handling middle level of security features. To fulfill requirement of better performed biometric system, it
become essential to build such system which uses combination of two or more biometric traits.
Multimodal biometric system has all the characteristics of a unimodal system. The objective of proposed
system is to build such multimodal biometric system which has high accuracy, reliable recognition and
robust in nature to identify and verify person. It uses palm print, finger geometry and finger knuckles as
its biometric input. In preprocessing stage hand image is used to get ROI of palm and finger. Finger
knuckles and finger geometry features of little, ring, middle and index fingers are extracted in feature
extraction stage. Keypoint and local descriptors which represent palm print features are extracted from
ROI of palm print. To boost speed of matching a coarse-to-fine hierarchical method is used. To enhance
accuracy of matching of features AND rule fusion is used. Aliveness detection system gives proof of
aliveness of person. For that purpose PIR and thermal sensors are used. It detects person who is going to
identify or verify whether alive or not .This avoids spoofing in biometric which results as system becomes
more trust worthy.
Intelligent vehicle control for vehicle tracking and accident prevention using
GPS and GSM
Sandur Jyoti Mahadev, S.S.Savkare
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Intelligent vehicle control by embedded system is the system which uses various analog sensors for
measuring parameters. This paper presents vehicle tracking and positioning by using (GPS) Global
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Positioning System and (GSM) Global system for mobile communication in an embedded system. The
vehicle is continuously under monitoring of the design and it will report the status of the vehicle to driver
or owner. The network of GPS and GSM using software and hardware were developed. The proposed
GPS and GSM based system has the two parts, first is a mobile unit and another is controlling station. The
system processes, interfaces the provided data. Transmission and reception of data among the mobile unit
and control stations are working successfully. This also includes the vehicle anti-theft system with the
help of vehicle ignition controlling or locking technique. Whenever car owner removes key from the
ignition lock at that time this system will turn on. We have provided vibration sensor with this project,
which is similar to piezoelectric sensor. When vibrations are detected, SMS is sent to the owner of the
car. When car owner sends back SMS to the system then the engine gets locked. We have provided a
Relay for vehicle engine control system.
Intelligent Robot using hand gestures recognition
Charuta Ravindra Sutar, S.S.Savkare
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
This project presents the embedded system, used to discuss work done in the area of hand gestures
recognition where focus is on intelligent approaches including soft computing based methods like
artificial neural network,fuzzy logic, genetic algorithms etc. Hand gestures recognition (HGR) is one the
main areas of research for the engineers, scientists and bioinformatics HGR is the natural way of human
machine interaction and today many researchers in the academia and industry are working on different
application to make interactions more easy, natural and convenient without wearing any extra device
.HGR can be applied from games control to vision enabled robot control from virtual reality to smart
home systems. The methods in the preprocessing image for image segmentation and hand image
construction also taken into study. Most researchers used fingertips for hand detection in appearance
based modeling .Finally the comparison of results given by different researchers is the comparison. Hand
gesture recognition system received great attention in the recent few years because of its manifoldness
applications and the ability to interact with machine efficiently through human computer interaction. In
this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture
recognition system are presented with challenges of gesture system.
The most prevalent use of robots today involves industrial robots in manufacturing lines. These
robots are programmed through teach pendants to traverse through a pre-taught set of points to execute
repetitive tasks . Industrial robots allow limited feedback from sensors, such as vision or force/torque
sensors, through command trajectory modification (e.g., external alter in the val robot programming
language) but they are not designed for human interaction. Even when external sensors are used, they are
tailored for specific tasks, e.g., welding , filament winding , grinding , or drilling, and tied to specific
platforms, e.g., val or rapid .these systems typically involve a single robot arm equipped with an end
effect or dedicated to a specific class of tasks multi-arm industrial robots and tele-robots are not common
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due to their mechanical and system level complexity. When multiple arms jointly hold a load, in addition
to the motion of the load, the internal force within the load needs to be regulated for stable grasping while
avoiding damaging the part in the case of force-reflecting tele-operation, synchronization and stability
issues are even more severe, since the human operator needs to regulate both the force of interaction
between the load and the environment and the internal squeeze force in the load.
An Integrated Online-Based Smart Home Management System with
Community Hierarchy
Jadhav Shradha Shrirang, Sachin Abhang
JSPM Narhe Technical Campus, Narhe [100]
ABSTRACT
Smart Home automation system is the main important part in day to day life for the security, safety and
comfort purpose. Twentieth century is the era of automation majorly in the entire field for the elimination
of human error, effort and time. There are numerous technologies available today for smart home that can
enable communication between user and appliances for controlling and monitoring the particular
application of home appliance from any remote location.The available technologies presented along with
uses, advantages and disadvantages of each technology.
In a smart home management system a community or society broker is used for integrating community
services. It reduces the workload of community management staff, providing electronic information
services, and deepening the community’s integration with the surrounding environment. The various
sensors and devices for example security functions are connected to this home control system. At society
or community terminal there is a society controller system. The various building automation devices are
connected to the society controller system. At watchman terminal there is a personal computer or server
from which we can monitor the various activities in flats as well as in society. If there is an emergency in
flat, for example fire detection then it can be detected easily.
This study also determined the WSN Protocol. Here we are reconfiguring the WSN using CC2550. By
using different types of Protocol the master will find the shortest path to destination.In addition we can
design an android application through which we can monitor the WSN sensor data on the android mobile.
The android device is connected to the WSN via Bluetooth modem. Once the connection is established
the android app will display all the data on the GUI of App.
Agricultural Robot For Early Crop Disease Detection Using Image Processing
Patil Anjali Rajendra, Sachin Abhang
JSPM Narhe Technical Campus, Narhe [100]
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ABSTRACT
this robot is used to do management of crops,it is basically ground based and used for agricultural
purpose.to identify and monitor the plant diseases,nutrient deficiency,controlled irrigation and controlled
use of fertilizers and pesticides one can use this robot.it provides small platform to identify diseases.in
40% cases use of overdose pesticides happens. Due to overdose it will totally damage the crop and due to
damage reduction in both quality and quantity occur.if chemical and fertilizer are used in proportion then
it will reduce cost and enable better management. Agricultural robot is quick,automatic and less
expensive method to identify the disease. Their are many types of diseases and their rate of spread is
different and due to which the the pesticides are also different. Image processing is used to recognize the
disease.
VARIABLE LATENCY SPECULATIVE HAN-CARLSON ADDER
Ghawate Manoj Dnyandeo, Prof.A. Meenakshi
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
Variable latency adders have been as of late proposed in writing. A variable latency adder utilizes
speculation: the correct math function is supplanted with an approximated one that is speedier and gives
the right outcome more often than not, however not generally. The approximated adder is enlarged with a
mistake discovery network that asserts a blunder flag when speculation falls flat. Speculative variable
latency adders have pulled in solid interest thanks on account of their ability to lessen normal postpone
contrasted with conventional structures. This paper proposes a novel variable speculative theoretical
snake in light of HanCarlson parallel-prefix topology that came about more successful than variable
inertness KoggeStone topology. The paper describes the phases in which variable idleness theoretical
prefix adders can be subdivided and displays a novel mistake recognition organize that lessens blunder
likelihood contrasted with past methodologies. A few variable idleness theoretical adders, for different
operand lengths, utilizing both Han-Carlson and Kogge-Stone topology, have been blended utilizing the
UMC 65 nm library. Acquired outcomes demonstrate that proposed variable inactivity Han-Carlson viper
outflanks both already proposed theoretical Kogge-Stone designs and nonspeculative adders, when rapid
is required. It is likewise demonstrated that non-speculative adders remain the best decision when the
speed constraint is casual.
Index Terms—Addition, digital arithmetic, parallel-prefix adders, speculative adders, speculative
functional units, variable latency adders.
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Detection of salient Structure by contour Guided Ocular Exploration
Ruchi Jaysingrao Pawar., Dr. Y. S.Angal
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
The task of Salient Structure (SS) detection to bind together the saliency-related undertakings, for
example, ﬕxation prediction, salient object detection, and discovery of different structures of
enthusiasm for jumbled situations. To fathom such SS identification assignments, a unified structure
enlivened by the two-pathway-based inquiry technique of natural vision is proposed. Initial, a Contour-
Based Spatial Prior (CBSP) is extricated in view of the format of edges in the given scene along a quick
non-particular pathway, which gives an unpleasant, assignment unessential, and strong estimation of the
areas where the potential SSs are available. It is invariant to the size and features of objects. The test
comes about on six huge datasets (three fixation forecast datasets and three notable protest datasets)
exhibit that our framework accomplishes focused execution for SS location (i.e. both the errands of
fixation expectation and striking item identification) contrasted and the cutting edge techniques. What's
more, framework likewise performs well for notable protest development from saliency maps and can be
effortlessly reached out for remarkable edge identification.
IoT Based Smart Public Transport System
Parag Dattatraya Gawade, Prof. Meenakshi A
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
Internet of Things (IoT) joins the objects of this present reality to the virtual world, and empowers at
whatever time, anyplace network for anything that has a turn ON and turn OFF switch. It constitutes to a
world where physical things and humans and other living things, and virtual information and situations,
collaborate with each other. Substantial measure of information is created as expansive number of gadgets
is associated with the web. So this expansive measure of information must be controlled and changed
over to helpful data keeping in mind the end goal to create productive frameworks. In this paper, we
concentrate on to a urban IoT framework that is utilized to construct Intelligent Transportation System
(ITS). IoT based intelligent transportation systems are intended to bolster the Smart City vision, which
intends to utilize the progressed and capable communication systems for the organization of the city and
the residents. Keywords: IoT, ITS, NFC, WSN.
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Development of System using Six sense technology for gesture detection and
computer applications
Kumbhar Kishoree Bhanudas, Dr. Y.S. Angal
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
Sixth Sense Technology is a gestural interface device that use to provide direct communication between
physical world around and digital word. It consist of two main devices like camera and laptop .Basically
it is working on the image processing. As this project is act as link between human sense and physical
world around it’s name as sixth sense technology. This technique here is used in computation and day to
day work. automation. Images capture by camera are used to gather digital information used to
communicate with physical world
EEG Based Brain Controlled Pick and Place Robot
Dipali Eknath Pansare, Prof. Puranik V.G.
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
BCIs are systems that can bypass conventional channels of communication to provide direct
communication and control between the human brain and physical devices by translating different
patterns of brain activity into commands in real time. This system describes about EEG based brain
controlled pick and place robot. The robotic arm is controlled through egg sensor. The key lies in the
mapping of the EEG signal to the robotic arm to achieve the objective. This system demonstrates the
application for disabled people and Industry automation.
Energy Meters using Internet Of Things Platform
Shraddha Vijay Kadu, Prof. D.S.Bhosale
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
In smart grid, typical applications are distributorcentric rather than customer-centric. These applications
typically have issues of scalability and user acceptance. To address this we propose architecture and
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implementation of energy meter with internet-of-things platform. Energy meter is the closest interface to
end users as part of smart grid where energy is consumed. Our approach has four facets of novelty: 1)
Integration of smart grid and home application using common infrastructure. 2) Data collection from
heterogeneous sensor communication protocols 3) Secure and tailored data access and 4) Sensor and
actuator mapping to common abstraction layer which can be leveraged to build concurrent applications.
For demonstration kit has been built and validated with specific ZigBee meters and gateways, IoT server
and custom user interface.
Fire Detection Based on Color ,Shape and Motion
Monika Gopal Waghmare, Prof. Meenakshi Annamalai
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
The system proposes a method able to detect fires by analyzing the videos acquired by surveillance
cameras. Two main novelties have been introduced: first, complementary information, respectively based
on color, shape variation and motion analysis, are combined by a multi expert system. The main
advantage deriving from this approach lies in the fact that the overall performance of the system
significantly increases with a relatively small effort made by designer. Second, a novel descriptor based
on a bag-of-words approach has been proposed for representing motion.
SCENE TEXT RECOGINATION USING MULTISCALE STROKELETS
Kumari Manoj Dalbir Singh, Dr. Y.S.Angal
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
Text detection and localization from a photograph is a challenging problem that has received a significant
amount of attention. The investigation of problem from the perspective of representation is studied
propose a novel multiscale representation, for scene text detection. This representation consist of a set of
detectable primitives termed as strokelets, which capture the underlying substructures of characters at
different granularities. Strokelets possess four distinctive advantages as
Useability,Robustnes,Generality,Expressivity.
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LAN Based Secured E-Voting using Biometric
Mandawade Darshana Hansraj, Dr. Y.S. Angal
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
The objective of this project is to develop Biometric based E-voting. Democracy is based on elections, but
it is not possible for citizens every time to go to polling stations to vote on election days. Option is to
provide e-voting via the Internet where voter can vote from own computer or mobile device, but it is
susceptible to common attacks, which affects the election results. The user can access cast his vote from
his home PC, internet cafe, his office pc. For this we are connecting the user PC with the voting server via
Local Area Network (LAN).The user has to log on to the voting server via his own PC. He will be asked
for the authentication of identity. The user can then authenticate his id using either Voice recognition or
Fingerprint recognition or both. The voter is enabled to vote without actually going there.Moreover to
stop fordge voting voter is given identification hardware which will prevent any hacker from giving false
votes.
SCADA SYSTEM FOR WORKERS SAFETY IN COAL MINES USING
WSN
Naikwade Anil Madhukarrao, Prof. V.G. Puranik
JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [073]
ABSTRACT
This paper presents a wireless detection of explosive atmosphere in underground coal mines that can be
implementation of safety jacket for coal mine workers, this jacket is equipped with methane gas, fire,
smoke, temperature, and heart beat sensor and emergency key. This sensors sense the data and which is
transmitted to master node through zigbee. The WSN sensor is connected at both end for transmission and
reception of data. The threshold value is set at master end, if sensor value reaches beyond the threshold
level, the master will trigger on the buzzer and keep the coal mines workers safe from upcoming accident.
IOT based flow metering with data logging system
Pravin . R. Anjikar, Dr. Shailaja Patil
JSPM'S R. SHAHU COLLEGE [037]
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ABSTRACT
A sensor interface device is essential for sensor data collection from wireless sensor networks(WSN) in
IoT environments. However, the current connect number, sampling rate, and signaltypes of sensors are
generally restricted by the device. Meanwhile, in the Internet of Things(IoT) environment, each sensor
connected to the device is required to write complicated andcumbersome data collection program code. A
flow meter is a device used to measure the flowrate or quantity of a gas or liquid moving through a pipe.
Measurement of the flow of a fluid,either liquid or gas, is commonly a critical parameter in many
processes. In most operations thiscan be linked to the basic “recipe― of the process - knowing that
the right fluid is at the rightplace and the right time. Equally, it can be linked to asset management,
keeping the fluid inmotion or even simple tank balancing.Internet of Things (IoT) is a new
revolution of theInternet. It provides a platform for communication between objects where objects can
organizeand manage themselves. In this project, IoT technology is use for building data logging systemof
liquid or gas flowing through pipe. Such prototype is useful in an industries or smart cities.This system
consists of smart flow meter, central node for data capturing, monitoring andprocessing, and log
data to discrimination to the end user.
smart museum based on IOT
Nishigandha Kale, Prof.R R Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Smart cities are a trading topic in both the academic literature and industrial world. The capability to
provide the users with added value services through low-power and low-cost smart objects is very
attractive in many fields. Art and Cultural have constantly assumed a critical part in human being lives.
Museums are nowadays a tool for entertainment such cinemas/theaters and museums and art galleries
usually provide with paper booklet or human guides. A smart museum based on IOT relies on a wearable
device that acts as guides of museum. This wearable device will capture the video of users movements
and has the capability to do image processing and sends only the matched images to the processing centre
to increase the performance of the whole system and localization information is obtained .Moreover, the
system interacts with the server to store multimedia contents produced by the user. Finally, everyone can
easily access the arts profile and history through smart device by using mobile application
Design and develop an algorithm for a diabetic detection using ECG signal
Rina Musale, Dr.A.N.Paithane
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JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Huge number of individuals are influenced by Diabetes Mellitus (DM) which is hard to cure because of
its endless nature and hereditary connection. The uncontrolled diabetes may prompt heart related issues.
Along these lines, the diagnosis and checking of diabetes is of extraordinary significance. The automatic
detection of diabetes can be performed utilizing RR-interval signals. The RR-interval signals are
nonlinear and non-stationary in nature. Subsequently linear strategies will be unable to catch the hidden
data introduce in the signal. Empirical Mode Decomposition (EMD) is recently used in a broad range of
applications for extracting signals from data generated in nonlinear and non-stationary processes.
However, it has a Intrinsic Mode Function (IMF) consisting of signals of widely disparate scales. In this
paper, a new nonlinear method based on empirical mode decomposition (EMD) is proposed to
discriminate between diabetic and normal RR-interval signals. Then four parameters are extracted from
IMFs of RR-interval signals namely, the mean frequency parameter using Fourier -Bessel series
expansion MF_FB, amplitude modulation bandwidth B_AM, frequency modulation bandwidth B_FM
and area computed from second order difference plot A_SODP. SVM (support vector machine) classifier
is utilized to measure the discrimination ability of the proposed features for detection of diabetic RR
interval signals. Results obtained from proposed methodology indicate that these features provide the
significant difference between diabetic and normal classes.
COAP based healthcare monitoring system
Savita U. Dharmkare, Mr.P.M.Ghate
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
The Internet of Things (IoT) is the network of physical objects or things embedded with electronics,
software, sensors, and network connectivity, which enables these objects to collect and exchange data. In
this paper the Constrained Application Protocol (CoAP) has been used as a technology enabler to allow
applications to interact with physical objects. We are using CoAPthon, an open-source Python-based
CoAP library, which aims at improving the development of CoAP-enabled IoT healthare monitoring
application. Healthcare monitoring is applicable in various situations when a patient is in the abnormal or
critical conditions like in unstable physiological regulatory systems, in the case of overdose of
anesthesia., in a life threatening condition when there is an indication of heart attack in a patient. This
situation leading to the developing of a risky life threatening condition. To avoid this type of situation we
are presenting this paper.The aim of this paper is to send messages during emergency situations especially
when a patient is alone at home or while the patient is travelling. This is an efficient way of hospital
management system where a doctor sends control signals from his wireless terminal to the patient
terminal. In the same way, the patient health condition can be sent to his or her family members in the
form of SMS through mobile phones.
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Data hiding in encrypted images using TRRBE
Smita Borse, Dr.D.G.Bhalke
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Data hiding in encrypted images has theadvantage of good privacy and security. In thispaper we are
using the DWT method. TheDiscrete Wavelet Transform gives the excellentpeak signal to
noise ratio (PSNR) and lesscomputation time. (DWT) is any wavelettransform which is
discretely sampled whichcaptures both frequency and location information.The main advantage of
using DWT transform isthat the whole image would be processed as asingle unit. This technique
will be used for hidinga secret image inside a cover image using secretkeys. It shows high robustness
against many ofimage processing operations such as lossycompression, blurring, cropping,
median filter,sharpen, and addition of noise. The embeddedsecret image can be extracted
with high visualquality. The patch can be used which results inlarge hiding room. Thus we use
sparse coding,which is an approximation solution, the leadingresidual errors are encoded and
self-embeddedwithin the cover image. Hence no loss of data isobserved, because the learned dictionary
is alsoembedded into the encrypted image and a largevacated room can be achieved and thus the
datahider can embed more secret messages in theencrypted imag
Automatic detection text levels of handheld objects for blind person
Sonali Munde, Dr.D.G.Bhalke
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
Self-Dependency for disabled persons is of prime importance. The ability of people who are blind or have
significant visual impairments to read printed labels and product packages will enhance independent
living and foster economic and social self-sufficiency. This paper presents a cost effective prototype
system to help blind persons to shop independently. A camera based assistive text reading framework is
proposed to help blind persons read text labels and product packaging from hand-held objects in their
daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera
view, a region of interest (ROI) in the image is defined. In the extracted ROI, text localization and text
recognition will be done to acquire text information. Text characters in the localized text regions are then
converted into binary format and recognized by trained optical character recognition software. The
recognized text codes are output to blind users in speech. The images are stored in database then
Adaboost classifiers are used to read the framework of any product.
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Secret Fragment Visible Mosaic Image Technique for Image Hiding
Manisha Ghortale, Prof.R.R.Itkarkar
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
A new information hiding technique is developed for covert communication or secure keeping of secret
images. The technique is based on secret-fragment-visible mosaic image which is created automatically
by composing small fragments of a given image to become a target image in a mosaic form, achieving an
effect of embedding the given image visibly but secretly in the resulting mosaic image. The 3-D color
space of the secret colour image is transformed into a new 1-D color scale, based on which a new image
similarity measure is proposed for selecting from a database a target image that is the most similar to the
given secret image. The secret image is fitted into similar tile image; for finding the similar tile a greedy
search algorithm is used.
The information of the tile image fitting sequence is embedded into randomly-selected pixels in the
created mosaic image by a lossless LSB replacement scheme using a secret key; without the key, the
secret image cannot be recovered.
Electrostatic Discharge Protected User Interface for X-ray System
Balu D. Waghchaure, Dr. B. D. Jadhav
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
High-speed low-power mobile devices are sensitive to electrostatic discharge (ESD)-induced soft errors,
such as unwanted reset, lock up, loss of user interface, disturbed displays, etc. ESD can couple via current
and fields into the internal cabling, printed circuit board traces but also directly into the integrated
circuits. It can lead to serious problem in the life saving medical products. Under IEC definitions, loss of
data is never allowed when testing a product.Keyboard and Graphical LCD is used as a User Interface
(UI) for the X-ray System. By using proper shielding, PCB layout and TVS diodes; UI is made ESD
proof.
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Stress Management using EEG signal
Pallavi Gaikwad, Dr.A N Pithane
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
To monitor stress, different methods can be used. In this work, real time stress level recognition from
Electroencephalogram (EEG) signal is proposed. Stress is amental condition that effects the brain
electrical activity to be different from the normal state. An algorithm is designed to classify stress levels.
EEG signals are collected using EEG electrodes, which are placed on forehead scalp during the
experiment. Signals captured are given to EEG amplifier for removing noise or interference. Further these
collected signals are continually given to algorithm to verify stress level. Signals are pre-processed and
different feature combinations and classifiers are used and analyzed. Discrete Wavelet Transform (DWT)
is used for pre-processing, and then we are taking Power Spectral density (PSD) of signal before giving it
classifiers.We are using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as the
classifier, three levels of stresscan be recognized. Stress levels of the person under test are visualized on
the meter in real time.
"
Texture based /interstitial lung disease detection using CNN
Pratiksha Hattikatti, Dr. D. G. Bhalkle
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
In CT scan images there are large range of lung texture patterns of disease .Whatever patterns Radiologist
see in that for every disease there is some intermix, thus to detect each pattern and diagnosis it is very
difficult. Convolutional Neural Networks (CNN) are often used in image recognition systems. They have
achieved less error on the database, image classification using CNN was surprisingly fast. Interstitial lung
disease is a general category that includes many different lung conditions. All interstitial lung diseases
affect the interstitium i.e. the part of the lung’s anatomic structure. Automated tissue characterization is
standout amongst the most essential parts of a computer aided diagnosis (CAD) system for interstitial
lung diseases (ILDs). Thus using CNN interstitial lung disease become more accurate also it takes less
time for detection. The proposed network consists of 7 convolutional layers with and Leaky ReLU
activations, followed by average pooling with size comparable to the size of the final feature. The
classification execution exhibited the capability of CNNs in analysing lung patterns. The collected
database are official CT scan images verified by radiologist.
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Speech bandwidth extension for improvement in speech quality
Komal N Ranaware, Mr. P. M. Ghate
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
The expansion of the Internet has frequently increased the availability of digital data such as audio,
images and videos to the public. Digital watermarking is a technology being developed to ensure and
facilitate data authentication, security and copyright protection of digital media. Audio watermarking is a
technique providing a promising solution to copyrights protection for digital audio and multimedia
products. Using this technique, hidden information called watermark containing copyrights information is
imperceptibly embedded into the audio track of a host media. This watermark may be extracted later on
from a suspected media to verify the authenticity. To function as an effective tool to enforce ownership
rights, the audio watermarking scheme must satisfy the imperceptibility, robustness, security, data
payload, and computational complexity requirements. Throughout this report, we will be illustrating in a
simple way the concept of Digital Watermarking and a simple approach of audio watermarking called
‘LSB coding’ for copyrights protection and the various possible attacks on the watermarks. Keywords:
watermark, imperceptibility, robustness, security, data payload.
socket based IoT node home automation system with smart plug
Ghadge Krutika, Dr. B D Jadhav
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
The customer domain of the smart grid naturally blends with smart home and smartbuilding systems,
but typical proposed approaches are “distributor-centric� rather than“customer-
centric,― undermining user acceptance, and are often poorly scalable. To solve thisproblem, we
propose a detailed architecture and an implementation of a “last-meter� smart grid—the portion of
the smart grid on customer premises—embedded in an internet-of-things (IoT)platform. Our approach
has four aspects of novelty and advantages with respect to the state ofthe art: first approach of our
system is seamless integration of smart grid with smart homeapplications in the same infrastructure.
Second system gathers data from heterogeneous sensorcommunication protocols with secure and
customized data access. Fourth approach is univocalsensor and actuator mapping to a common
abstraction layer on which additional concurrentapplications can be built. A demonstrator has been built
and tested with purposely-developed Wi-Fi smart meters and gateways, a distributed IoT server, and a
flexible user interface.The strong coupling of Information and Communication (ICT) technologies -
especiallyvia the usage of networked embedded devices with the energy domain, is leading
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to asophisticated dynamic ecosystem referred to as the Internet of Energy. In the last mile of theSmart
Grid i.e. the future smart home, heterogeneous devices will be able to measure and sharetheir energy
consumption, and actively participate in house-wide or building wide energymanagement
systems. The customer domain of the smart grid naturally blends with smart homeand smart building
systems, but typical proposed approaches are “distributor-centric� rather than“customer-
centric,― undermining user acceptance, and are often poorly scalable. To solve thisproblem, we
propose a detailed architecture and an implementation of a “last-meter― smart gridthe portion of the
smart grid on customer premises embedded in an internet-of-things (IoT)platform. A demonstrator has
been built and tested with purposely developed ZigBee smartmeters and gateways, a distributed IoT
server, and a flexible user interface
smart traffic system for stolen and traffic control with Auto fine
Bhagyashri Shinde, Dr. A N Paithane
JSPM'S R. SHAHU COLLEGE [037]
ABSTRACT
This project presents an intelligent traffic control system to pass emergency vehicles smoothly.Each
individual vehicle is equipped with special radio frequency identification (RFID) tag(placed at
a strategic location), which makes it impossible to remove or destroy. We use RFIDreader and
microcontroller based system-on-chip to read the RFID tags attached to the vehicle. Itcounts number of
vehicles that passes on a particular path during a specified duration. It alsodetermines the network
congestion, and hence the green light duration for that path. If the RFID-tag-read belongs to the stolen
vehicle, then a message is sent using application to the policecontrol room. In addition, when an
ambulance is approaching the junction, it will communicateto the traffic controller in the junction to turn
ON the green light. We used microcontroller basedsystem on chip for wireless communications between
the ambulance and traffic controller. Thissystem also detects the signal break and charges the fine for the
given vehicles
Poka yoka for filter pin detection in nozel holder body
Pingle Arati Sanjay, Prof.Dr.S.P.Ugale
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Every manufacturing industry in the world is focused to produce high quality ,defect free product. The
success of any industry depends on quality of their product. During actual manufacturing of any product
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different operations are carried out by operators .The whole production depends on operator mentality and
its interest in work which ultimately causes silly mistake or errors by operator. Rejection of manufactured
product cannot be ignored now a days in manufacturing industry due to worldwide competition. To avoid
mistake in assembly line, poka yoka mechanism plays an important role in manufacturing industry. In this
project poka yoka mechanism is applied to find missing part in product. A Programmable logic controller
(PLC) is used which control the whole system .It continuously monitors the state of input devices and
according to that state of output devices is control.
Maintain Boiler Temperature and Level Detection in Dairy Industry
Dherange Pritika Nivrutti, Prof.Dr.S.S.Morade
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
In dairy industries Boiler temperature level detection and ammonia gas level detection is the major things,
so by this project we doing the same things. At the same time both this concepts can be implemented
using IOT concepts. Remote monitoring and intelligent intervention of machines are essentials in smart
industrial environment. This work aims to describe how to provide smart industrial environments using
IOT concepts or cloud computing. Using IOT, it is not necessary to continuously observation taken or
doing by the observer or the operator. If any problem or difficulties are occurs automatically boiler
machine will stop and alarm gets ON and message will be display on operators mobile. Same things
happen with the ammonia level detection. Also operator cautiously observe the machines working such as
liquid flow or different operations from anywhere from the industry through mobile phone, laptop or any
desktop system. So by this project we study the different sensor, like RTD, pressure sensor, level sensor
and also IOT/CLOUD base system. And for demo I am using Raspberry pi module.
Boiler is one of the most important equipment in any industrial plants which require continuous
monitoring and inspection at frequent intervals. There are possibilities of errors at measuring and various
stages involved with human workers. So a reliable monitoring system is necessary to avoid catastrophic
failure, which is achieved by Programmable Logic Controller & Supervisory Control and Data
Acquisition system. But this systems are very expensive, so we can reduce the coast by using
microcontroller as RPi.
Designing of USB Device Driver for CNC System Using Dual Core DSP
Processor
Gosavi Nisha Ramakant, Prof.Dr.S.S.Morade
K. K. WAGH COE & R NASHIK [013]
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ABSTRACT
Computer Numeric Control (CNC) is specialized form of soft automation and it has wide range of various
applications. End to end component design is highly automated using DSP processor in the modern CNC
systems. The problem with the existing system is that PC system needs to connect to the CNC system as
communication take place through the RS232 protocol. RS232 communication is very slow in terms of
speed, so use of it is very inefficient for the latest CNC systems. This experiment replaces the RS232
communication by USB communication and can increase the speed from 115.2 Kbps to 480 Mbps. This
experiment is concentrated on designing the device driver of USB 2.0 for CNC system using the control
card of TMS320F28377D processor. TMS320F28377D is a dual core DSP processor by Texas
Instruments with c28xx core and feature of flash programming. This processor is mainly designed for
high end and real time applications such as industrial drives and motor control applications. The control
card of this processor has USB interfacing facility so we can design the USB driver and can do the USB
flash programming for CNC system to increase the processing speed. In USB communication we can
connect number of devices at a time using USB hubs which is not possible in the case of RS232. This
experiment is also concentrated on designing the FAT32 file management system for CNC machine using
dual core processor and USB flash drive.
FAT file management system for the DSP based CNC machine using SD Card
Shendge Harshali Jagannath, Prof.Dr.S.S.Morade
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Computer Numeric Control (CNC ) is the automation of machine tools that are operated by precisely
programmed commands encoded on a storage medium. In modern CNC systems, end-to-end component
design is highly automated using DSP processor. The programs produce a computer file that is interpreted
to extract the commands needed to operate a particular machine by use of a post processor, and then
loaded into the CNC machines for production. This project presents a cost effective solution to implement
three dimensional computerized numerical control (CNC) machines for Industrial application using DSP
TI LaunchXL F28379D Launchpad. The main objective is to implement file management system for
CNC machine using the SD card and hence the increase memory size to hold the large data of .NC and
.CNC file. The system employ Dual core C28x DSP processor (TMS320F28379D) for file handling and
file management system as well as performs various operations of CNC machine. This paper will mainly
focus on the hardware structure and software program of File handling and file management system
implement on the SD card as well as Stepper motor interfacing with Launchpad f28379D for multi axis
operation of CNC machine. The objective to devise a Low cost CNC machine from increasing demand
for flexibility and cutting with respect to edge quality. The system has Dual core C28x microcontroller
based embedded system to achieve cost effectiveness and also maintains the required accuracy and
reliability for complex shapes. The backbone of the system is a cleverly designed mechanical system
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along with the embedded system resulting in accuracy. The system uses embedded C software such as
Code composer studio.
Road Sign Identification and Analysis of Augmented Reality using Image
Processing Technique
Mali Nikita Subhash, Prof,Dr.M.P.Satone
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
In past decades, India is rapidly developing country in the world. Therefore, almost every peoples in India
has demanded own vehicles. Roads were developed in every area and many new vehicles entering on the
roads. India is growing population country and people uses transportation method and is increased day by
day. But ,road accidents are increased especially in highways. Many peoples are injured and lost their life
because they do not aware about meaning road sign board. Road accident is national problem in the
country .A lack of knowledge about road signs and rules has main reason behind road accidents.
With the help of Augmented Reality(AR) technology can provide surrounding traffic information on the
users view and keep drivers view on roads. Using Augmented Reality (AR) technology and on-board
camera-based driver alert system can improve driving safety. Suppose camera can be mounted on top of
vehicle. When camera captures road sign image through image processing technology. It will be checking
which stored image matched with capture image. If capture image and stored image matched then driver
hears sound that name of road sign board.
Integration of deburring unit with FANUC CNC
Bhangare Swati Nivrutti, Prof.Dr.D.M.Chandwadkar
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Bosch limited has to manufacture oil injector with high quality, defect free products at optimum cost. The
new culture of total quality management, total productive management in the manufacturing as well as
service sector gave birth to new ways to improve quality of products. Manufacturing defects are always
the key concerns of any industry. The success of any manufacturing industries depends on the quality of
product especially right product produced.
In order to ensure the error free product the quality needs to be monitor in real time. Some time in
manufactured product defects are occur .In this project design and development of a deburring unit with
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FANUC CNC for supfina in this system which remove the defect in injector body with the help of
different sensors. CNC FANUC not only monitors all operation but also remove all defects
Modelling and performance analysis of microgrid using fuzzy logic controller
Sonawane Tanvi Ravindra, Prof.Dr.D.M.Chandwadkar
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Fuzzy logic based voltage controller is proposed for hybrid generation scheme. It uses solar and wind
energy for isolated applications. Microgrid involves different energy systems or energy sources. Here we
are using solar energy system and wind energy system. To improve the generating performance &
implementation of power utilization, we are using the hybrid PV-wind system. It gives better result as
compare to individual sources. On the contrary side, PV-wind hybrid system has environmental benefits
such as reduction of carbon emission due to use of renewable energy resources. Fuzzy logic control based
maximum power point tracking(MPPT) approach is used to improve the efficiency and robustness of the
solar photovoltaic (PV) power generation and establishes a model of grid-connected PV system by
Matlab/Simulink environment which reflect the characteristics of the system accurately. We are using
battery for energy storage purpose.
It gives continuous power, compelling use of renewable energy resources. It enhances life time of
battery, minimized utilization of diesel and reduces the emission of CO2.
POWER QUALITY IMPROVEMENT BY SVC USING PIC18F4620
Gadakh Vijay Sopan, Prof.Dr.D.M.Chandwadkar
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Power quality improvement for non linear loads is the point of interest for researchers in recent years.
Power factor plays an effective role in efficiency of electrical system. In power system the voltage level at
different system changes with the change in load. The voltage level at the load must be maintained within
required range irrespective of the type & magnitude of the load. For maintaining voltage fixed within
limits, it is necessary to maintain the balance of reactive power in the system as reactive power is related
with voltage directly .i.e. reactive power generation and absorption must be equal. Any mismatch occurs
in the reactive power balance affects the bus voltage magnitude.
A static VAR compensator include capacitor bank in different binary sequential steps in
conjunction with a thyristor controlled reactor of minimum step size is used in the investigative work. The
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work related with the performance evaluation through analytical studies and practical implementation on
an existing system consisting of a distribution transformer of 1 PH phase 50 Hz, 1KV/230V capacity. The
switching characteristics achieved are transient free, practically no need to provide inrush current limiting
reactors, TCR size minimum providing minimum percentages of nontriplen harmonics, facilitates step
less variation of reactive power depending on load requirement , thus maintain power factor near always
unity .
Abandoned Object Detection using backtracing Verification
Parmar Pavankumar Kailas, Prof,Dr.M.P.Satone
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
Detecting static objects in video sequences has a high relevance in many surveillance scenarios like
airports and railway stations. In this paper we propose a system for the detection of static objects in
crowded scenes that, based on the detection of two background models learning at different rates,
classiffes pixels with the help of a finite-state machine. The background is modelled by two mixtures of
Gaussians with identical parameters except for the learning rate. The state machine provides the meaning
for the interpretation of the results obtained from background subtraction and can be used to incorporate
additional information cues, obtaining thus a flexible system especially suitable for real-life applications.
The system was built in our surveillance application and successfully validated with several public
datasets.The experimental results obtained based on video images from Evaluation of Tracking and
Surveillance and Advanced Video and Signal-based Surveillance databases show that the proposed
approach is effective for detecting abandoned luggage, and that it outperforms previous methods.
Modelling ,Designing And Analysis Of Phase Locked Loop Using Pyxis tool of
Mentor Graphics
Chandramore Rasika Madhukar, Prof.Dr.S.P.Ugale
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
The Phase Locked Loop system has been around since 1932. The versatility of the PLL systems and
where it can apply makes it very useful. It can be applied to automobiles as well as cellular chips. This
seminar work presents the design and analysis of a Phase Locked Loop for various technologies. The All
blocks of the Phase Locked Loop were designed independently and then integrated together.
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The Phase Frequency Detector, Charge Pump, Low Pass Filter, VCO, Frequency Divider and Level
Shifter topologies and circuits are described in detail along with some major design tradeoffs and critical
issues. The uses and implementation of the kinds of frequency divider are demonstrated. Their design
tradeoffs are utilized to make the design effective and robust.
Autonomous Wearable System for Health Monitoring
Mali Vivek Vijay, Prof.Dr.D.M.Chandwadkar
K. K. WAGH COE & R NASHIK [013]
ABSTRACT
There is a growing demand for wearable devices among people as it has the ability to monitor in real-time
situations in the different areas of daily life. In wearable devices, power is the important factor. One of the
aspect is the power supply with batteries that introduces weight, the overall dimensions, and the disposal
of the batteries. A solution to overcome these limitations of battery as power supply is to extract energy to
power the devices directly from the sun. In this paper, a proposed wearable device is designed for health
monitoring of a person to measure his/her health parameters. If the condition of the person is unwell then
a signal is send to his/her near ones and to the doctor. This paper describes the proposed autonomous T-
shirt powered by flexible solar panel mounted directly on the T-shirt. The wearable device is capable of
measuring heart beat and temperature of the body. The device would be very useful for health monitoring
of elderly people and heart patients. In alarming situation appropriate help and necessary actions can be
taken which can save life.
Smart Edge IOT based Industrial Automation
Shivani.J.Soni, Mrs. S.A.Paithane
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Using internet of things (IoT) to connect things, service, and people forintelligent operations
has been discussed and deployed in many industry domains such as smartcity, smart energy, healthcare,
food and water tracking, logistics and retail, and transportation.However, scarce information is
available for IoT usage in industrial automation domain forreliable and collaborative automation
with respect to e.g., enabling scalable collaborationbetween heterogeneous devices and
systems, offering predictable and fault-tolerant real-timeclosed-loop control, and inclusion of
intelligent service features from edge devices to the cloud.In this paper, we will clarify the specific quality
attribute constraints within industrial automation,present specific industrial IoT challenges due to these
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constraints, and discuss the potentials ofutilizing some technical solutions to cope with these
challenges. Industrial automation is adomain in which Internet-of-things can bring with many
benefits. For instance, remote location ofplants would benefit from technologies that support
remote operation and maintenance;autonomous collaboration between devices so that devices
are aware of each other forinformation exchange, in this way to reduce engineering costs in terms
of manual configurationsof all involved devices; the real-time data collected from a large number of these
interconnectedphysical hardware units can be used for developing new intelligent applications
IOT based energy efficient networking for building automation
Bharti Tushar Shivaji, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
DALI (Digital Addressable Lighting Interface) is data exchange protocol which explains digital
communication between terminal and one or more light devices. In malls, hospitals there are more
number of luminous devices are present. It is hard to handle all devices as increase in lighting devices; the
time required for bi-directional data communication also increases. Also as number of devices increases,
length of DALI bus also increases which required more power. It is essential to handle all devices by
increasing speed of bi-directional data exchange with minimum power consumption. There is need of a
new technique which will increase the speed of communication as well as number of device load. To
increase the speed of communication DALI wire line bus will be exchange by wireless transceivers using
wireless sensor network (WSN). It reduces the transmission delay as well as energy consumption cost. It
will work 10 times faster than conventional wired DALI bus. By giving online (IOT) web interface it will
be very flexible to use.
Security Application For Android Based Devices
Chintawar Priya Dilip, Dr. S. S. Agrawal
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
This paper presents a system to enhance stolen or lost android cell phones by utilizing diverse services
like SMS and email. As the use of android mobile phone is expanding for internet banking, sparing some
critical data documents and photographs. In the event that somebody steals our android mobile phone, he
can abuse our financial balance and our own information, and it will be extremely unsafe for us. To keep
this we set forward another plan, to get the cheat by his photograph, name and area. The situation
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proposed in this work is absolutely reliant on the equipment of your cell phone like camera (front) and
GPS. When this product is introduced, it will work out of sight, stores the current SIM number in a
variable and continues checking ceaselessly for SIM change, at whatever point SIM gets changed from
portable, it will take photo of thief by front camera, trace the location and get the IMSI number of new
SIM i.e., without taking user permission and after that it will send a SMS, to our alternate mobile number
and an email id, which was given at the time of application instalment. The benefit of this application is
that it is very easy to use, freely available and it continues running in background without interrupting the
user. To some degree it helps the user to catch the thief, and get our stolen mobile back.
Structure Modulated Sparse Representation for Image Enhancement
Deshpande Prajakta Prashant, Prof. R. P. Patil
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Super resolution (SR) deals with enhancing the quality of Low Resolution (LR) to make them High
Resolution (HR). It is needed to design the system based on programmable logic for SR using sparse
representation method. Sparsity-based SR techniques deal with spacing the pixels of LR image and filling
them by estimating new pixels. SR based on sparsity concept, collective with structure modulated
technique, upgrades its modeling adequacy. The technique can be beneficial to favor the pursuance of
image super-resolution based on sparsity. Patch wise each LR image is divided and processed
iteratively for better results. The strained development issue of HR image recovery can be drafted by this
technique. Firstly the introductory assessment of expected HR image is brought by magnification based
on multi-scale level with back projection. Subsequently, by exploiting a regularization scheme sparse
modeling of single image SR is drafted. Sparsity scheme abolishes the aliasing effects and gives sharper
edges. It is ambitious to the state-of-the-art methods, both visually and quantitatively.
A self-oscillating mixer using 130-nm CMOS process
Dhuppe Kavita Atmaram, Dr. S. S. Agrawal
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
A self-oscillating mixer implement both the oscillation and mixing functionalities into a single device. It
works with injection locking phenomenon. A very low-power self-oscillating(SOM) is proposed. The
proposed technique is demonstrated in a 2.7-3GHz(s-band) with 130-nm CMOS process. It combines the
functionalities of mixer and oscillator under single bias current. The proposed SOM works with 800mV
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power supply. It has power consumption of 0.33mW. The given design shows the noise figure of -
109.8dBc. Combining two devices into single reduces the chip size and cost of design. The proposed
SOM can be used in variety of applications like in the RF receiver section.
A Multi- Frame Image Super Resolution and Enhancement
Garade Aniket Prakash, Prof. R. P. Patil
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Multi frame image super resolution aims to utilize information from a set of low resolution images to
compose a high resolution (HR) one. In order to meet requirement of high definition to reduce visual
uncomfortableness the low resolution video needs to be super resolved to full resolution (FR) size using
super resolution (SR). The missing high resolution (HR) pixels can be estimated by interpolation based
super resolution algorithm. A new high resolution provides super resolution (SR) and enhancement
algorithm. The high resolution has exploration of high resolution information and interpolated frames has
two benefits, i.e. 1) high frequency information contained in full resolution (FR) views can properly
utilized to super resolve low resolution (LR) view; 2) The original low resolution (LR) pixels in super
resolved views and compensate the luminance difference between views are improved by using the
interview redundancy. Thus, the proposed method can have recollected the details in regions with edges
while maintaining good quality at smooth areas.
Brain tumor detection using deep neural network
Gawande Suraj Sunil, Prof. W. M. Mendre
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
In this paper, A brain tumor detection and classification has been design & developed. The computer
based method is used to detect the tumor. Deep Neural Network (DNN) using stack autoencoders has
been implemented for classification of tumor. The MRI images of different patients with three kinds of
brain tumor: Meningioma, Glioma and Pituitary are used for classification. The Image processing
techniques such as image segmentation, feature extraction have been developed for detection of tumor in
MRI images. The watershed transform technique is used for segmentation. The texture based features and
intensity based features are extracted with help of Gray Level Co-occurrence Matrix (GLCM) & Discrete
Wavelet Transform (DWT). Finally a DNN using stack autoencoders has been developed to identify type
of brain tumor. Our network has stack autoencoders which consist of two autoencoders for feature
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learning and one softmax layer for classification. We have obtained a good result with 92.3% accuracy.
Finally a Graphical User Interface (GUI) has been created to show the classifier output.
Broadband CMOS RF Power Amplifier Using Reconfigurable Interstage
Network
Kashiwar Neha Arvind, Dr. S. S. Agrawal
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
A two-stage broadband CMOS stacked FET RF power amplifier with a reconfigurable interstage
matching network is designed. The objective is to design a broadband power amplifier fallowed by a
reconfigurable switch to separate out the signals to desired band. Efficiency and bandwidth limitation
problem of power amplifier has become more serious with introduction of fourth generation long term
evolution standard. To overcome the bandwidth limitation from the high-Q interstage impedance, a
reconfigurable interstage matching network based on double frequency mode of operation is proposed.
The reconfigurable interstage network is composed of distributed RF switch. This reconfigurable network
based on class-J mode of operation used to get increased output power with high efficiency. The output
matching is realized with low pass matching network. The proposed RF power amplifier is designed
using 0.13 um silicon-on-insulator CMOS and covers frequency band from 0.65 to 1.20 GHz. This power
amplifier represents increased Power Added Efficiency (PAE) of 67.66 and bandwidth (BW) of 550MHz.
Hybride Combination Of Admission & Modulation Decision For Wireless
Embedded System
Komawar Abhinay Raju, Prof.M.S.Navale
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Wirelesscommunication is among innovation's greatest commitments to humanity. Wireless
communication includes the transmission of data over a separation without help of wires, links or some
other types of electrical conduits. The transmitted separation can be anyplace between a couple meters
(for instance, a TV's remote control) and a large number of kilometers (for instance, radio
correspondence). A portion of the gadgets utilized for remote correspondence are cordless phones,
mobiles, GPS units, remote PC parts, and satellite TV.Wireless communication is progressively being
utilized to unify implanted gadgets in an assortment of dispersed frameworks application spaces, running
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from remote sensor systems to the rising Since such implanted gadgets are firmly coupled both with their
surroundings and with each other through their remote correspondence channels, both varieties in their
surroundings and the frame-works have to react (infrequently quickly) to those varieties may deliver (1)
the need for such devices to communicate and (2) with it the potential for channel dispute to emerge,
progressively at run-time. In this manner, how remote channels among the installed gadgets are assigned
what's more, overseen in these frameworks may fundamentally impact both correspondence particular
nature of-administration (QoS) properties (such as message throughput) and more extensive QoS
properties, (for example, convenience of framework responsiveness) that rely on upon them. Now days
the researchers are mainly focused on the wireless communication to overcome the drawbacks. This paper
proposes a novel method in which the formal Markov decision process (MDP) model can generate value-
optimal policies for combined admission and modulation decisions
Motion Blur Estimation with Blind Super Resolution
Kore Swapnali Chandrakant, Prof. R. P. Patil
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Today human is depends so much on the visual information for that image processing is an important
component. Super resolution (SR) is computation process of high resolution (HR) image from low
resolution (LR) image in order to increase the spatial and / or temporal resolutions. Video super resolution
is process of estimating high resolution (HR) video from low resolution (LR) video in order to increase
the spatial and / or temporal resolutions. Frame is upsampled using non uniform interpolation (NUI) super
resolution method. The blur estimation process is initially performed on few emphasized edges as
iteration continues. For the faster convergence the blur is estimated in filter domain rather than pixel
domain. The cost function used for frame de-blurring during the blur estimation process has fidelity and
regularization terms both of type Huber- Markov Random field (HMRF). Then the blur are determined
iteratively from some enhanced edges in upsampled frames. After blur estimation, the reconstructed
frames are discarded and a non- blind iterative super resolution process is performed to obtain the final
reconstructed frames using the estimated blurs. A masking operation is applied during each iteration of
final frame reconstruction to successively suppress artifacts by inaccurate motion estimation.
Underwater Positioning Sytem Based On GPS and Acoustic Signals
Mankari Ashish Ashokrao, Prof Mahesh Navale
KASHIBAI NAVALE COE, PUNE [036]
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ABSTRACT
Underwater positioning systems are commonly used in a wide variety of underwater work, including oil
and gas exploration, ocean sciences, salvage operations, marine archaeology, law enforcement and
military activities. This paper displays a portrayal of a submerged situating framework in view of surface
hubs furnished with GPS and acoustic transducers. The position framework computes the directions of a
submerged vehicle in one of the surface hubs or reference points, by the discharge, recognition, and
answer of acoustic encoded signals. The characterization of the framework has been performed by
method for a factual study, considering Different quantities of guides, signals' position, for example such
as noise, multipath, and Doppler spread. The mistake spread brought on by these wonders and the
geometrical arrangement of the framework has been quantitatively surveyed in various situating
calculations, in view of trilateration also, iterative methodology. The outcomes demonstrate how the
diverse wonders influence the vehicle assessed position blunders for the distinctive situating algorithm.
Content based image retrieval with relevance feedback for remte sensing
images
Patange Prajakta Bhaskarrao, Prof.P. S Deshpande
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
This concentrates on the first (S1) and second (S2) heart sound attestation construct simply concerning
acoustic properties; the suppositions of the individual scopes of S1 and S2 also, time breaks of S1-S2 and
S2-S1 are prohibited in the assertion handle. The urgent target is to dissect whether attempted and
genuine S1 and S2 assertion execution can even now be proficient under conditions where the term and
interim data won't not be available. A noteworthy neural system (DNN) method is utilized for seeing S1
and S2 heart sounds. In this framework, heart sound signs are at first changed over into a game-plan of
Mel-rehash Cepstrum coefficients (MFCCs).Along with MFCC few more spectral features are also taken
into consideration .The K-derives Count is related with pack MFCC highlights and spectral features into
two get-togethers to refine their depiction and discriminative limit. The refined segments are then asked to
a SVM and DNN classifier to perform S1 and S2 attestation. The DNN classifier gives higher assessment
scores accuracy of above 97% and SVM of 94% accuracy. The DNN-based framework can complete
reliable S1 and S2 attestation execution in context of acoustic qualities without utilizing an ECG
reference or joining the suppositions of the individual terms of S1 and S2 in like manner, time between
times of S1-S2 and S2-S1.
FPGA implementation of real time image stabilization
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Sarang Shirole, Asst. Prof. A. B. Deshmukh
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Digital integument establishment is an momentous video restitution technology rove aims to remove
unwanted camera vibrations outlandish coating sequences. Aegis stay away from between
accommodation bit and real-time tools production practicability, this layout open-handedness a detail-
based full border fog affirmation movement and a odd unmixed decidedly pipelined architectural design
to implement it on field programmable gate array (FPGA). In the self-styled make a proposal to, feature
low down are consummate extracted about the oriented countenance from unrestrainedly second over and
rotated binary robust independent elementary features algorithm and couple between consecutive frames.
Make inquiries, the matched purpose pairs are no great shakes to the affine alternative chisel usefulness a
random-sample consensus-based approach to estimate inter frame deportment robustly. Attack, the verge
on close-fisted are accumulated to assess the cumulative movement parameters between the verifiable and
relevance frames, and the translational capacity are smoothed by a Kalman filter representing intentional
camera movement. Clearly, a mosaicked icon is constructed based on cumulative motion parameters
privilege consumption and configuration mosaicking come close to, and stalwart a declare related to
goggles is created all over the on request frame ground according to the computed intentional camera
movement to get a full motion compensated frame. Usability pipelining and measure against processing
strategies, the thorough fight has been suited utilize a novel complete fully pipelined making and
implemented on FPGA to build a real-time stabilization regulations. The avant grade prudent shot at
shown stroll the nominal system tushie administrate apropos momentous Stripling video input except
for change interpretation and rotation and can generate full-frame stabilized output providing a better
viewing experience at 22.37 ms/frame, history achieving real-time processing performance.
A new approach of tracking human movements in laege view cases
Sontakke Vaishnavi Dipak, Prof. S.S Vasekar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Object tracking is an important task in the field of computer vision. In which the camera tracking have
become a common requirement in today’s society. The inexpensive video camera and the high quality
lens generates a great interest in the object tracking field. Generally, it is not easy to track human behavior
in an environment with a large view. So the project aims to solve the big problems which is associated
with the large view camera system to track the people in the large area which is single targets in nonlinear
motion, handle occlusion & to reduce the processing time. In this paper a new algorithm is used to solve
the problems which is by using a GbLN-BCO & model based particle filter. The proposed algorithm is
tested on the several set of video data. The accuracy of the tracking perform is greater than the previous
techniques i.e. unscented Kalman filter & Parzen Particle Filter.
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FIR Fiter Implementation on FPGA Using MCM Design Technique
Trimale Manish Bhimashankar, Asst. Prof. P. G. Chilveri
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Finite Impulse Response Filter is filter whose impulse response is of finite duration. Higher order of FIR
filter is required for meeting precise frequency specification in several digital signal processing
applications. But number of additions and multiplications increase linearly with filter length leading to
computational complexity. So a less complex Multiple Constant Multiplication design technique is used
for designing FIR filter in which given input is multiplied with set of constants. It basically reduces
number of additions required for realization of multiplication. Thus it is suitable for large order FIR filter
with fixed coefficients. Block processing along with transpose form of FIR filter is used to support
pipelining and higher sampling rate. Power efficient Spartan-3 FPGA logic family is used for hardware
implementation. Thus proposed structure provides an area and power efficient high performance design of
FIR filter with reduced computational complexity for both fixed and reconfigurable application.
Automation Using Power Line Communication
Utpat Kalyani Anand, Prof.P. S Deshpande
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
The main purpose of power line communication is digital data transmission /reception via power lines.
The power line communication uses existing power line infrastructure for communication purpose. This
concept provides comprehensive overview to the use of power line for communication purpose ranging
from channel characterization. A power line modem is all in one devise which consist of an encoder ,
decoder, modulator & Demodulator . Modem provide bidirectional half duplex communication over the
mains of any voltage up to 230V AC & for frequency 50Hz or 60Hz. Duplex communication suggest that
it will either transmit or receive information at a time however not each at a same time. Normally module
is in reception approach all the time listening to incoming communication on the power line. Once an
application gives serial data to transmit on its RXin pin it alternation over to communicate &
communicate the data though power line. Power line communication is used in this work to implement a
control network . The goals are to reduce the impact of wireless interference on smart home control
network and unnecessary energy consumption of a smart home. The Home automation will have master
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unit that will control all the slave unit across power line medium. While designing the network it is
necessary to develop a system that integrate all electric apparatus in Home or Office.
PERSON RE-IDENTIFICATION AND SUMMARIZATION
Waykole Kajal Pradip, Prof. S. S. Vasekar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Tracking and re-identification in wide-region camera systems is a challenging issue because of non-
covering visual fields, differing imaging conditions, and appearance changes. In this project color drift
and clothing context-aware person search and re-identification method is utilized for a wide-area camera
network with an emphasis on summarization. A hypergraph representation is used to connect related
objects for search and re-identification. A diverse hypergraph ranking technique is proposed for person-
focused network summarization. Samples of Annotated are used to learn color drift patterns in a non-
parametric manner using the random forest distance (RFD) function.
CATARACT DETECTION
Yadav Mayur Rajendra, Prof. N. M. Wagdarikar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
The percentage of blindness in today’s world above the age of 65 is 78% out of which more than 55% of
people are blind because they are suffering from cataract. The lens in the human eye enables one to see. It
is made up of water and some proteins. It is normally transparent. But when a person is suffering from
cataract, the lens losses its transparency and is formed when the protein clumps together and clouds the
lens due to which the lens loses its transparency and the person is not able to see as the light cannot reach
the eye. Cataract is the leading cause of blindness all over the world especially in senior citizens. Its initial
symptoms are watering of eyes, blurred view, white spot can be seen in the eye.
A Four-way Lossless RF Power Amplification
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Bhagat Nikita Ranjeet, Prof. A. A. Yadav
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
A primary drawbacks of conventional outphasing power amplifier are the requirement of both a Radio
Frequency (RF) carrier input and a separate baseband input to synthesize a modulated RF output. This
work focuses on RF power amplifier with avoiding the need for multiple costly IQ modulators and
baseband signal component separation. An RF signal decomposition network directly synthesizes the
amplitude and phase-modulated signals used to drive the branch power amplifiers (PAs). The proposed
technique is demonstrated at a frequency range of 2.4 - 2.45 GHz power amplifier which is a four-way
lossless power amplifier with transmission line power combiner. The proposed technique overcomes the
loss and provides ideally lossless power combining. A transmission line resistive compression network is
used to implement RF decomposition network. The resulting four-way lossless RF power amplifier gives
1 dB drain efficiency of 77.31 % and output power of 95.45 - 99.83 W along with 11.79 dB gain.
Multiple sensor fusion and classification for moving object detection and
tracking
Bhanse Ankita Arun, Prof. S. S. Vasekar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
The precise detection and order of moving objects is a basic part of advanced driver assistance systems.
This framework trusts that by including the object arrangement from different sensor detection as a key
part of the object's portrayal and the observation procedure. In this paper we improve the perceived model
of environment. First, we define the object representation along with the classification and second, we
gives a complete fusion framework to solve the detection and tracking of moving object. Vehicle
recognition is made out of two primary undertakings: simultaneous localization and mapping (SLAM)
which produces a guide of the environment while all the other restricting the vehicle inside the guide
given every one of the measurements from sensors; and DATMO which identifies and tracks the moving
objects surrounding the vehicle and evaluations their future conduct.
Personal Authentication Using Knuckle Patterns of Palm-Dorsa Vein
Chavan Pooja Ram, Prof.S.A.Panwar
KASHIBAI NAVALE COE, PUNE [036]
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ABSTRACT
We introduce a method of personal authentication based on well-known vein biometric which uses finger-
vein patterns. The biometric identification using finger vein has increasingly generated interest from both
academic and industry because of its accuracy, robustness and anti-spoofing characteristics. Anterior
research that are documented in the finger vein biometric literature have only look into ventral vein
pattern that is formed on the lower part of the finger underneath the skin surface. This paper investigate a
new approach of personal authentication using knuckle patterns of palm-dorsa vein .Thus this
beneficial for recognition of the target subject. We exhibited a complete automated approach with the key
steps for processing captured vein images such as, Region of Interest (ROI), pre-processing to enhance
vein pattern, feature extraction and matching .In this work we have used two types of feature extraction
techniques namely local feature extraction and global feature extraction which extracts vein patterns and
vein structures (lines, texture feature) respectively. Finally we have adopted separate comparator to
compare the results for both techniques of feature extraction
Disease detection by using image processing
Rupali Sampat Misal, Prof. V. S. Kulkarni
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
This paper illustrates the automated diagnosis of
Malaria and dengue are a mosquito-borne infectious diseases affecting humans .Malaria with help of
malaria parasite in microscopic images of thin blood films. And dengue analysis with help of counting the
platelets. This two diseases can be tested and validated in MATLAB. Those technique faculties the blood
parts for example, those red platelets (RBCs), White platelets (WBCs), and identifies those parasites in
the contaminated RBCs. The provision also Investigation those separate parasites and calculates those
parasitemia which may be a measure of the level from claiming spoiling. Dengue fever is a viral ailment
Furthermore it may be a primary issue done a significant number generating countries, including India.
Dengue Haemorrhagic fever this might be dissection by pathologist utilize the manual system because of
which there is quite a few likelihood for identification of sickness constantly made regarding illness. This
paper lessens work intensive, duration of the time and expense. Additionally help will number detects
those red blood cells (RBCs), White Blood cells (WBCs), Also identifies the parasites Additionally those
contaminated RBCs Furthermore WBCs. In those consequence we will get those effective analysis from
claiming intestinal sickness.
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High Performance 60GHz LNA Design for Variable Gain Amplifier by using
150-nm GaAs Technology
Gade Abhishek Govardhan, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
The use of broad bandwidth for multi-gigabit data transmission has been increased widely. The VGA
which is nothing but variable gain amplifier has high bandwidth. The 60 GHz band used into transceiver
for various high speed communication activities. LNAs are essential building blocks for wireless
receivers. The LNA designed with 150 nm GaAs FET technology. LNA designed with IR rejection filter
gives 24.964 dB gain and 2.701 dB minimum Noise Figure. The LNA consists of four stages into a
cascaded form of common source. 1 V voltage supply requires for circuit operation.
Brain Tumor Detection Using Segmentation and Classification Technique
Gore Ashish Vyankatesh, Mrs. R. K. Kulkarni
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
the large data set demands a highly productive segmentation and classification system. This system shows
brain tumor classification in the form of different classes. This system depends on segmentation scheme.
The segmentation stage partitioning a digital image to number of regions and extracting useful regions.
Tumor tissues are differentiated in segmentation. The segmentation processes composed with the help of
level set region based methodology. The segmented part is get ahead to feature extraction stage. At the
finally stage outcome as a classification of segmented tumor images with the help of extracted features.
Classification done with the help of support vector machine classifier. Support vector machine recuperate
the classification over different classification techniques. The classification sureness achieved by the
actualized method is better as compare to another’s.
Automated Glaucoma Screening based on CDR Assessment
Swapnali Ashok Bhapkar, Prof. V. S. Kulkarni
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
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Glaucoma is a disease that damages the optic nerve. It causes irremediable blindness if it is left untreated.
This has made glaucoma detection as the main research topic in the field of medicine. Currently, there is
no effective method that can be used for low cost population-based glaucoma detection or screening.
Recent studies have shown that automated optic nerve head assessment from 2D retinal fundus images is
capable of low cost population-based glaucoma screening.
The proposed system explains a method for cup to disc ratio (CDR) assessment using 2D retinal fundus
images. In the proposed system, the optic disc is first segmented and cup to disc ratio is calculated. In this
paper, the disc is located using earlier brightness based method, which performs well in our data sets for
glaucoma. The segmentation estimates the disc boundary, but pathological changes around disc, blood
vessel occlusions, and variable imaging conditions makes it a challenging task. Here, the disc is
segmented using the self-assessed disc segmentation method, which is a combination of three approaches.
It has been shown that the self-assessed method achieves more accurate disc segmentation than the
individual methods.
Resolution enhancement on multi frame and quality assessment strategy
Khatpe Vrushali Ganpat, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Multi-frame image super-resolution is a procedure which takes several noisy low resolution images of the
same scene, acquired under different conditions, and processes them together to synthesize one or more
high-quality super-resolution images, with higher spatial frequency and less noise and image blur than
any of the original images. The inputs can take the form of medical images, surveillance footage, digital
video, satellite terrain imagery, or images from many other sources. So, proposed system presents a multi-
frame super resolution approach to reconstruct a high-resolution image from several low-resolution video
frames. The proposed algorithm find out the motion between the frames using motion vectors that data is
use for the super resolution of the frame. As a result, the proposed algorithm can remove interpolation
artifacts. A super resolution method which is generate high-resolution (HR) image from one or more low
resolution images and lastly different image quality metrics going to measure. The propose algorithm will
be suitable for consumer imaging devices including ultra-high-definition (UHD) digital televisions,
surveillance systems and medical imaging systems for image restoration and enhancement.
A Wideband Variable-Gain Amplifier for High Frequency Applications
Sourabh B Waghmode, Prof. V. S. Kulkarni
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KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
A VGA is used to provide a variable gain for input signals of varying strength. Hence VGAs have
become crucial blocks in wireless transceiver sections. The ability of VGA to amplify signals of varying
strength increases the dynamic range of the receiver. The effect of cascading on the parameters of
variable gain amplifier (VGA) has been presented. The single stage VGA block is termed as "basic unit
cell". The basic unit cell is a simple structure which can be cascaded to achieve more gain. The designed
cascaded VGA has a large Bandwidth and low noise. Bandwidth of 3 GHz and a Noise Figure of 4 are
measured. The cascaded VGA not only has a large gain but also a large linear gain range and very small
gain error. A maximum gain of around 38 dB and a gain range of around 26 dB are achieved. Moreover
the cascaded VGA only consumes few milli-amperes of current from a 1.2V supply. The robustness of the
design is verified by means of ADS simulation.
FPGA-Based Railway Safety By using Ultrasonic and Infrared sensors
Ingle Akash Shrikrishna, Mrs. R. K. Kulkarni
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Presently railroad assume imperative part in individual for transportation. Because of persistent
development of railroad in key division, for example, rail route speed, flagging framework,
correspondence framework and so on and development of programmed framework, it is more vital to
introduce security gadgets. One of these gadgets is snag fall finder on the track. It uses to distinguish
sudden appearance of protest in wellbeing zone. Gadget comprise of a multisensory framework, it is in
charge of identifying items on tracks. Ultrasonic (US) and infrared (IR) are for the most part utilized on
FPGA (field programmable gate array) board keeping in mind the end goal to process information from
sensors. These framework are isolated into two sections, initial segment is detection of signal. second part
is observing system. Initial segment relates to producing and accepting acoustic and optical signals, which
are put at inverse side of railroad track, individually. In first stage FPGA is utilized to encode motion
from sensors and identifying object on the track or not. As worries about security such gadgets are
imperative.
Traffic sign recognition using SVM
Jayateerth S Pandhari, Prof. N. M. Wagdharikar
KASHIBAI NAVALE COE, PUNE [036]
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ABSTRACT
A few applications require data about road furniture. Some portion of the assignment is to study all
trafﬕc signs. This must be accomplished for a large number of km of street, and the activity should be
rehashed occasionally. The paper proposes a pipeline for the efﬕcient location and acknowledgment of
trafﬕc signs from such pictures. The errand is trying, as enlightenment conditions change consistently,
impediments are visit, sign positions and introductions fluctuate considerably, and the genuine signs are
far less comparable among equivalent sorts than one may anticipate. Here one can see blend of 2D and
3D strategies to enhance comes about past the cutting edge, which is still particularly engrossed with
single view examination. For the underlying location in single edges, an arrangement of shading and
shape-based criteria is utilized. They yield an arrangement of competitor sign examples. The choice of
such competitors considers a noteworthy accelerate over a sliding window approach while keeping
comparative execution. A speedup is additionally accomplished through a proposed efﬕcient limited
assessment of AdaBoost locators. The 2D discoveries in different perspectives are in this manner joined
to create 3D theories. A Minimum Description Length definition yields the arrangement of 3D trafﬕc
signs that best clarifies the 2D recognitions.
pre encoded multipliers using NR4SD algorithm
Shrish Managuli, Prof.N.M.Wagdarikar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
I exhibit a building of pre-encoded multipliers for Digital Signal Processing applications in light of
separated encoding of coefficients.
To this build up, the Non-Redundant radix-4 Signed-Digit (NR4SD) encoding strategy, which uses the
digit values{-1,0,+1,+2}or{-2,- 1,0,+1} , is proposed inciting a multiplier layout with less personality
boggling midway things use. Wide trial examination affirms that the proposed pre-encoded NR4SD
multipliers, including the coefficients memory, are more domain and power compelling than the common
Modified Booth plot.
Enhancement of Image Quality by using Super-Interpolation
Kumbhar Sudarshan Fulchand, Prof. R. P. Patil
KASHIBAI NAVALE COE, PUNE [036]
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ABSTRACT
In most digital imaging applications, high resolution images are usually desired for later image processing
and analysis. The goal of Image Super-resolution (SR) is to build a high resolution image from a low
resolution (LR) images. The SR is a classic and active image processing problem which aims to create a
high resolution (HR) image from low resolution input image. The main aim of SR is to generate the HR
image with good visual quality. The proposed work presents fast SR method, called Super-Interpolation
(SI), by using a quality-enhancement step. The proposed SI method utilizes edge-orientation-based
kernels, which inherits the simplicity of interpolation and the quality enhancement of SR. This SI method
involves two phases off-line training phase and on-line up-scaling phase. In the off-line training phase,
training LR image patches are grouped into different edge-orientation (EO) classes based on their edge
orientations. For each EO class, a class-dependent linear mapping function is learned between training LR
and HR image patch pairs. In up-scaling phase, an HR output image patch is generated for each LR input
image patch, by applying an appropriate linear mapping function. The proposed SI method has a unified
structure of simple interpolation and elaborate quality enhancement with low complexity.
Patch based single image super-resolution
Saurabh Babarao Lakade, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
In this paper we propose a resolution enhancement approach using patch based learning method. The
patches in natural image are occurred repeatedly many time inside the image. The tendency of occurring
is within the same scale, as well as across different scales. Hence the present method estimates a function
to predict the pixels of a High Resolution patch using its corresponding Low Resolution pixel and their
spatial neighbourhood. This method gives best results in terms of reconstruction accuracy of output High
Resolution patch size when given input Low Resolution patch size is increased. The patch based single
image super-resolution is more efficient than methods which uses convolutional neural networks in terms
of input-output patch sizes and a computationally expensive learning algorithm.
Heart sound recognition using deep neural network
Kumbhare Prerna Ramdas, Prof. A. A. Yadav
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
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This concentrates on the first (S1) and second (S2) heart sound attestation construct simply concerning
acoustic properties; the suppositions of the individual scopes of S1 and S2 also, time breaks of S1-S2 and
S2-S1 are prohibited in the assertion handle. The urgent target is to dissect whether attempted and
genuine S1 and S2 assertion execution can even now be proficient under conditions where the term and
interim data won't not be available. A noteworthy neural system (DNN) method is utilized for seeing S1
and S2 heart sounds. In this framework, heart sound signs are at first changed over into a game-plan of
Mel-rehash Cepstrum coefficients (MFCCs).Along with MFCC few more spectral features are also taken
into consideration .The K-derives Count is related with pack MFCC highlights and spectral features into
two get-togethers to refine their depiction and discriminative limit. The refined segments are then asked to
a SVM and DNN classifier to perform S1 and S2 attestation. The DNN classifier gives higher assessment
scores accuracy of above 97% and SVM of 94% accuracy. The DNN-based framework can complete
reliable S1 and S2 attestation execution in context of acoustic qualities without utilizing an ECG
reference or joining the suppositions of the individual terms of S1 and S2 in like manner, time between
times of S1-S2 and S2-S1.
Analysis and detection of obstractive sleep apnea during sleep
Lungare Pallavi Pralhad, Prof.S.P.Deshmukh
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
This paper exhibits another procedure to detect and analysis of obstructive sleep apnea (OSA) in people.
We identified class of the individual, such as normal class, abnormal-medium and abnormal high. The
merits of the proposed approach is that it requires less mathematical calculation and does not require any
manual adjustments and does not depend on the patient posture. The proposed of region growing
segmentation technique is acquire great exactness. It is a quick technique to help for good outcome. Our
contribution is to extract the different features of detected by people. Exploratory outcomes on genuine
rest apnea information demonstrate the precision of the proposed display. We acquire stepwise outcome.
forgery image detection in forensics
Sarkate Pravinkumar Vishnu, Prof.N.M.Wagdarikar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Images have become a powerful tool for communication nowadays as they are used every day in
newspapers, magazines, websites and advertisements and provide various information. Images can save
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the moments very easily. There are also a lot of powerful editing software. As result, the trustworthiness
and genuineness of advanced pictures is lost. The proposed framework investigating changed spaces,
spoken to by picture illuminant maps, to propose a philosophy for choosing reciprocal types of describing
visual properties for a compelling and computerized identification of picture fabrications and join factual
telltales given by various picture descriptors that investigate shading, shape and surface components.
Additionally concentrate on identifying picture fabrications containing individuals and present a
technique for finding the fraud, particularly the substance of a man in a picture.
Heart sound detection based on Nonlinear signal decomposition
Pujari Amruta Sahadev, Prof. A. A. Yadav
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
To reduce the probability of heart attack and improves effectiveness and efficiency of the heart sound
analysis, it is necessary to detect the presence of third heart sound which is main cause of heart failure.
Third heart sound (S3) is a low amplitude and low frequency signal as compared to first (S1) and second
(S2) heart sound, so it is difficult to observe presence of it. Many systems developed for detecting S3 but
they had some issues such as spline problem and cross term effects. The presented methods overcome
these problems. The heart sound signals are nonlinear and non-stationary. Thus, in the presented system
Nonlinear Decomposition Method i.e. Hilbert Vibration Decomposition (HVD) method decomposes
signal into certain no. of subcomponents and provides slowly varying lowest frequency components.
Then, nonlinear Time Frequency Representation (TFR) followed by reassignment method i.e. Smoothed
Pseudo Wigner Ville Distribution (SPWVD) is applied on these signals. Higher energy portions of signal
and actual positions of S1, S2 and S3 determines by SPWVD. Then, calculate time difference between S2
and S3 to avoid confusion with fixed S2 split. Thus, by using the system, presence of third heart sound S3
can detected accurately.
Object Tracking and Analysis Based Smart Video Surceillance Security
System
Mane Shruti Subhash, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Video surveillance security system is process of automatic recognition and evaluation of critical situations
in LC environments in order to object tracking and analysis. Videos are essentially successions of
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pictures, each of which is known as a frame, shown in sufficiently quick recurrence with the goal that
human eyes can percept the continuity of its content. However the contents of two continuous frames are
firmly related. Consequently two adjoining frames can be utilized to track status of items in the scene as
moving or still. Clearly all image processing procedures can be connected to individual frames
performing video examination. Object is tracked when there are enough detected pixels belonging to
moving objects. Safety and security are the most valuable concepts in the road and railway transportation
field. Various systems are designed for tracking of linear motion of objects at level crossing. In this
project smart video surveillance security system is proposed. The first step contains detection of object by
using background subtraction method. Second step is tracking of linear as well as non-linear motion of
object by using ensemble kalman filter. Last step is analysis of various situations such as object is
crossing the field, object is in safe zone and object is in danger zone.
Underwater Image Enhancement using Dark Channel Prior & Gamma
Correction
Powar Onkar Ganpat, Prof.N.M.Wagdarikar
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Underwater images are usually degraded due to the effects of absorption and scattering. Underwater
imaging is very important in present technology for detecting object like fishes, algae, minor particles etc.
Light scattering and color change are two dominant sources of distortion for underwater imaging that
lowers the visibility and contrast of the captured images, affects ambient underwater environment
dominated by a bluish tone. Hence, the presented system demonstrates a novel approach to enhance
underwater images by distance factor estimation along with a dehazing algorithm and histogram
equalization. The noise particles are removed before dehazing by implementing distance factor based on
intensities of different color channels with gamma correction improving the brightness of dimmed
images. The dark channel prior removes haze and noise effect, providing better visual quality with
adaptive exposure map estimation for adjusting too dark and too bright regions of underwater image. At
the final stage, the contrast and brightness of dehazed image is recovered by using contrast limited
adaptive histogram equalization. The enhanced haze-free, natural appealing output can be used for display
and analysis purpose.
Secured Video Using Reversible Texture Synthesis
Patil Komal Mansing, Prof.S.P.Deshmukh
KASHIBAI NAVALE COE, PUNE [036]
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ABSTRACT
A steganography is the technology and skill which is useful for hiding the data, accordingly
steganographic framework covers contents in unexceptional media so no one arouse eavesdropper’s
suspicion. This paper proposes novel approach for steganography utilizing a reversible texture synthesis.
A texture combination prepare re-tests a smaller surface picture which mixes another surface picture with
a similar adjacent appearance and subjective size. To cover secret messages the texture synthesis process
interconnects into steganography.The proposed method is very efficient than other existed method our
approach offers that the embedding capacity is quite proportional to the size of the stego texture image.
Second, a steganalytic calculation is not prone to crush our steganographic approach Our approach offers
three particular focal points. To initiate with our plan offers the inserting limit which is corresponding to
measure stego surface picture. Secondly a calculation of a steganalytic is not prone to crush our approach
towards steganographic. Third, the plan of the reversible ability provides a functionality which permits
recovery of a source texture. The experimental results show the accuracy of the proposed system.
Object detection and separation based smart video surveillance system
Pawar Asmita Ravindra, Dr. S. K. Shah
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Safety and security are the most important points in the transportation field. Installation of Smart video
surveillance system is the effective way to have safety protection on roads. Vision-based surround
perception has progressed from its infancy into maturity. This work includes the video surveillance
system for railway transportation system at Level Crossing (LC) environments. Latest security initiatives
in the field of railway transportation propose to implement video surveillance at level crossing (LC)
environments. This work additionally proposes that lane detection to be implemented to increase the
accuracy of the system to detect the moving objects. This system is tuned for detecting & evaluating
abnormal situations induced by users (pedestrians, vehicle drivers, and unattended objects) in LCs. This
system firstly detects and then separates the moving objects shot in LC. The method starts by detecting
pixels affected by motion as a pre-treatment phase. Once the targets are extracted from the current frame,
the objective is to track them. The proposed analysis allows for also recognizing hazard scenarios. Four
hazardous situations are detected & evaluated with different real video image sequences: presence of the
obstacle in the LC, presence of the stopped vehicles line, vehicle zigzagging between two closed half
barriers, and pedestrian crossing the LC area.
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Design and Implementation of automation system in manufacturing plant of
Gas spring assemblies
Priti Giridharrao Kulkarni, Prof. S. K. Jagtap
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Industrial automation programming and design is largely based on PLCs .Following 40 years of their
presentation, they are as yet the most predominant execution stage for robotization frameworks in
numerous enterprises. This venture incorporates planning and usage of robotized framework for
assembling of gas spring congregations utilizing Mitsubishi Electric Q PLC arrangement PLC and servo
engines in help with GOT Human Machine Interface. Offered spring is comprehensively used as a piece
of the autos for a smooth movements of engine compartment .This spring is made at our all around
prepared assembling unit by using quality affirmed segments and spearheading innovation. By
Synchronizing Servo Motors, which are controlled utilizing PLC. At present, synchronisation is achieved
using DSP. As Cost of DSP is more, it is proposed to implement design using PLC. The outcomes, which
will get with PLC, need to contrast and the outcomes that have acquired with existing technique for
Synchronization by utilizing DSP. This robotization arrangement incorporates the mechanization between
various assembling stages, for example, Rod Insertion station, Grooving station, shutting station, Gas
charging station, Rod Pullout station.
Asymmetric stereoscopic video super resolution and depth estimation
Mahadik Ashwini Kundalik, Prof. R. P. Patil
KASHIBAI NAVALE COE, PUNE [036]
ABSTRACT
Recreation of full-resolution stereoscopic video from a asymmetric stereoscopic video is a challenging
assignment. The existing techniques accept that the depth information is available, which forces an
additional challenge in data acquisition. In this paper, we propose a novel plan that is fit for acquiring
super- resolution and depth estimation at the same time from an asymmetric stereoscopic video. The
proposed plot models the video super-resolution and stereo matching with a unified energy function. At
that point, we apply alternating optimization technique to minimize this energy function, which can be
implemented with a two- step algorithm. In the initial step, initial depth map is calculated using region
based co-operative optimization technique to minimize this energy function, which can be implemented
with two step function. In the second step, the super-resolution issue under the direction of the depth
information is resolved. It is powerful on the grounds that each step provides extra benefit over the past
step. These two steps are iteratively updated until stable depth and super- resolution results are acquired.
Series of experiments are conducted on open stereoscopic video arrangements to assess the performance
of the proposed technique. Based on comparison of objective indices and subjective visual results, it
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confirms that proposed scheme can achieve satisfactory super-resolution results and high-quality depth
map simultaneously. Specifically, the subjective assessment experiment on 3D screen shows that this
technique outperforms others and accomplishes the best visual sharpness.
Industrial Automation using IOT with Raspberry Pi
Merchant Hussain K, Ahire D.D
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
Industrial Automation using IoT with Raspberry Pi.
Abstract: Internet of Things (IoT) is propagating and blooming technology,
in previous years. IoT is the collection of the sensors data through embedded
system and this embedded system upload the data on internet. There are
many challenges to IoT and Industrial Automation for example Data and
service security, Trust, data integrity, information privacy, scalability and
interoperability Automation Domain Constrains. This paper combines the
concept of Raspberry Pi Industrial workstation and Industrial Automation
using IoT. The system uses the raspberry pi as controller and server, the
programing is done in the python language. The webpage is designed in
HTML, JQuery, ajax and Flask as framework for rendering the HTML
template in python. All sensor data are collected through raspberry pi. All
the use full data are access remotely through internet of thing platform. Here
the blade ageing system of cutter tool is taken to as industrial example and
current is monitored to the webpage using raspberry pi as server. This
system demonstrates successful measurement of current consumption of
cutting tool and indicate to change the blade if it damaged. It also senses the
Brain Wave Generator Using dsPIC Digital Signal Controller
Hale Laleeta S, Ahire D.D
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
Depending on brain’s current levels of relaxation, focus, and other mental states, brain will
produced variable proportions of brain wave types. Each category of
EEG(electroencephalography). Generally people’s brain waves will respond to lights and sounds
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thuding at brain wave frequencies, and it will impact the change in state of brain— this activity
called “entrainment.―
We can plan our brain to follow any brain wave experience as we like by toggling sequences of
pulses into eyes and ears. So here we are going to program various frequencies which are
correlated to brain modes like Alfa, Beta, Gamma, Theta, & Delta by implementing Brain wave
generator (BWG) using dsPIC Digital Signal Controller. In this paper, we are generating the
above frequencies using the two separate frequencies to produce binaural bits in the brain
according to the state which we want. This technique is using for the audio signal. For The visual
signal we are going to program the ON/OFF of LED lights.
This will be very useful in medical field for psychiatrist and many more applications.
Complete Industrial Solution for Automation in Temperature and Humidity
Monitoring and controlling using LabVIEW
More Urmila R, Dighe Dd
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
Complete Industrial Solution for Automation in Temperature and Humidity
Monitoring and controlling using LabVIEW
ABSTRACT
Industries like biomedical, agricultural and pharmaceutical which forms backbone of
countries economy. The monitoring of humidity and temperature is important part in such
industries [1]. The controlled environment forms a foremost criteria in all of the above industries.
Small deviation in the environmental conditions can cause heavy financial losses because of
alterations in productivity in the pharmaceutical and agricultural industries. The technological
advancements in various field including instrumentation is kept in mind and care was taken to
utilize it. This improves the functionality of the device proposed.
The proposed system provide a solution for similar problem. The system can remotely
monitor the temperature and humidity levels of different parts and is supported by labView
software platform. Also it has the functionalities such as secured access for user login, easy
reconfiguration of user data, alarm facility in case of over limit and data logging capability for
further analysis. All these make it ideal for industrial applications.
DEVELOPMENT OF PLC BASED TRANSDERMAL PATCH
EVALUATION SYSTEM
Dabhade Supriya K, Dighe Dd
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MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
DEVELOPMENT OF PLC BASED TRANSDERMAL PATCH EVALUATION SYSTEM
Abstract
The paper describes the basic adhesion which signify combination of all interfacial
intermolecular interactions where “practical adhesion “present forces & work need to be
disrupted of interfacial region to adhere the system .there are many factors which influence
practical adhesion and basic adhesion is discussed. Basically thickness of adhesion cannot be
determined by common techniques for that ideal practical adhesion test is outlined. Some of the
adhesion measurement techniques thin films, thick films, and coasting are discussed briefly, and
references are made to the recent reviews on this topic.
For the adherence all techniques are different while measuring the adhesion. While measuring
the adhesion involved difficulties are highlighted, and the unresolved problems are brought into
sharper focus. Examination of failure surfaces carried out using analytical tools to ascertain the
locus at failure is important to understand mechanism.
ROBUST performance of CNTFET based Inverter in nanometer regime
Bhavar Somali R, R.S.Khule
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
this paper the performance analysis of CNTFET inverter under the PVT variation presented
.the influence of variation of parameters of CNTFET inverter is simulated and analyzed using H-
SPICE tool and Stanford Nano model-39 of CNTFET. PVT variations of Ion=Ioff ratio,
transconductance subthreshold swing and threshold voltage of the device are studied. It’s been
observed that the temperature increases Ion=Ioff depreciates even though Ion increases. Thus
increasing the temperature is not good for the device because SS increases. As diameter
increases, the Ion=Ioff increases but the SS increases too. Thus the net effect is almost same.
Same is the case with respect to the supply voltage.
Tomato leaves disease detection using Image processing
Verbal Sagar V, Khule R S
MATOSHRI COE&RC, NASHIK [58]
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ABSTRACT
Title: Tomato plant disease detection using Image processing
Agriculture is the major sector in India. About 58% of the rural livelihood influenced by in
agriculture. Out of which tomato is one of the common food crops in India. Due to which detection
of disease on tomato plant becomes important because less susceptibility. The plants productivity
gets affected if proper care is not taken. Image processing is one of upbringing technology which
is helping to resolve such issues with various algorithms and techniques. Most of the diseases of
tomato plant detected at initial stages as they affects leaves first. By detecting the diseases at initial
stage on leaves will surely avoid impending loss. In this paper four key diseases are identified
using image segmentation and Multi-class SVM algorithm. For parting of damaged area on leaves
image segmentation is used and for classification of accurate disease Multi-class SVM algorithm
is used. In last stage symptoms and treatment to detected diseases recommended
Low Cost Monitoring station busy Raspberry Pi
Baste Marvin A, Dighe Dd
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
Abstract— In this paper we have designed , developed and tested a low cost weather monitoring station
using raspberry pi, which monitor the weather data including wind speed, wind direction, air
temperature, humidity, atmospheric pressure , rain , and solar radiation .Weather data are send via Wi-
Fi network to an database server as well as it stored in memory card. On other hand, an web application
which presents acquired weather data at remote location. This system is provides real-time data
acquisition and transfer of measured parameter like other high cost commercial weather station. It is
very low cost, small size , easy use and reliable which can be easily use in various application.
Smart Pollution Monitoring using IOT
Bhagwat Ashwini G, Khule R S
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
ABSTRACT- In recent decades, the science and engineering have been heavily influenced by their
responsibilities to the society. This responsibility has been directed towards the protection of
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public health and welfare. In devising controls for emission of pollutants, scientists and engineers
have developed strategies for monitoring the environmental pollution problems. Environmental
monitoring describes the processes and activities that need to take place to monitor the quality of
the environment. All monitoring strategies and techniques have reasons and justifications which
are often designed to establish the current status of an environment or to establish trends in
environmental parameters. In this paper, we have proposed an idea to monitor pollution using IoT
Techniques. The extent to which the environment gets affected is noted and corresponding
control and prevention practises are implemented. The Higher Officials in that area gets notified
about the pollution range and the necessary steps
RFID based Attendance sydtem
Baviskar Snehal V, Dighe Dd
MATOSHRI COE&RC, NASHIK [58]
ABSTRACT
RFID means Radio Frequency Identification. It is a wireless identification technique which has become
very popular these days. It is used for smart system that can be used to identify, monitor secure and do
object inventory by the use of radio frequency. This technology is also used in Library Management
System, Bank locker security system etc. This technique is safe, secure, faster and easy to use with lower
overheads in contrast with the other conventional techniques such as bar code, biometrics etc. It has two
components i.e. RFID tag and RFID reader. RFID reader is the device capable of reading and retrieving
information stored inside the RFID tags. This paper presents a design of an Automatic Attendance System
for both students and professor with parent notification sent via GSM.
Today in most institution professors take attendance by calling out names or passing a sheet of
paper. Both way have respective drawbacks. For this reason college needs to create a system to monitor
students attendance and report it to their parents automatically and it also gives report about their test
marks through SMS process. This project is to simplify attendance recorder system by using RFID.
Smart Printing Error Detection for Printed Circuit Boards
Pratiksha Ramrao Masalkar, Prof. Prabha S. Kasliwal
MIT ACADAMY OF ENGG. PUNE [028]
ABSTRACT
Nowadays, the use of printed circuit boards (PCB) has been increased to the great extent. A bare Printed
Circuit Board is nothing but a PCB without any components mounted on it. A PCB plays a vital role in
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many electronic devices. There are different defects that are introduced during the manufacturing process
which can affect on circuit's performance. The proposed paper presents some of the latest work carried
out in detecting defects on bare PCB. The proposed paper introduces three main algorithms namely
template matching, image subtraction, and image morphology. Template matching is used to find the
regions of a source image that is similar to the template image. Using image subtraction algorithm, we
compare an image of a PCB which is to be inspected with a reference image of a PCB to give defects.
Image morphology is an algorithm which compares features between an inspected image and template
image.
Keywords—printed circuit boards; template matching; image subtraction; image morphology
An Enhanced Video Summarization System using Musical Features
Shweta Dnyaneshwar Kherde, Prof.D.Y.Sakhare
MIT ACADAMY OF ENGG. PUNE [028]
ABSTRACT
Abstract— Today, large amount of multimedia storage location make the browsing, accessing and
delivery of video contents very gradual and even very difficult for the handling. To increase faster
browsing of large video collections and extra efficient content indexing and accessing,video
summarization has been projected.In this paper, I aims to provide a largely approach by using musical
features for video summarization system. Paper focuses on the segmentation of a particular group of
multimedia content, audio-visual musical streams, into small music pieces. Current approaches consist in
direct clustering in a few audio classes (music,speech,noise) and to my knowledge in the case of audio-
visual musical streams no consistent evaluation has been performed yet.Detailed studies by experienced
users have been conducted to determine the quality of summarization. I presented different techniques for
feature extraction and classification such as MFCC and SVM .My aim is to reduce the database required
for the video by video summarization.The experiments on various genres of musical video and
comparisons with the summaries only based on music track and video track shows that the results of
summarization using proposed method are very useful and effective to help realize user’s expectation.
Keywords—MFCC; SVM; Segmentation; video summarization; features.
Indoor target tracking using improved RSSI in WSN
Anuradha Rajendra Lohar, Prof.S.A.Khandekar
MIT ACADAMY OF ENGG. PUNE [028]
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ABSTRACT
ABSTRACT-Localization of wireless nodes is one of the basic aspects of wireless sensor networks. For
Indoor localization the RSSI (Received signal strength indicator) based target tracking is mostly used
because it is very economical, no any additional hardware required, and it is very easy to understand. But
the problem with pure RSSI scheme is the RSSI value get fluctuated by the environmental conditions and
also due any other physical disturbances. So to improve the accuracy of system we use the kalman filter
and unscented kalman filter. This paper presents the results of all these filters implementation for target
tracking.
Bridging Communication Protocol
Ashish, Dr. Debashis Adhikari
MIT ACADAMY OF ENGG. PUNE [028]
ABSTRACT
Abstract— Directly LIN Protocol is not compatible with CAN protocol, it can be thought that the two
will operate in concurrence with one another. For communication throughout the car CAN might be used,
while within a small section of the car LIN Protocol would only be used, say for passenger comfort and
driver assistance. To connect the two protocols CAN-LIN Bridge would be necessary.
Keywords— CAN, LIN, CAN-LIN Bridge
An approach to detect indoor outdoor scene for effective video summarization
Reenal Sanjay Sanghavi, Prof. S.A. Pangaonkar
MIT ACADAMY OF ENGG. PUNE [028]
ABSTRACT
Abstract—With the exponential growth in digitization, the operations such as organization, browsing and
searching of digital images and videos is becoming an looming issue. Such a huge collected works of data
takes a extensive amount of time to go through all the videos with respect to the query. In various kinds of
video summarization, the classification of indoor and outdoor video is fundamental.
In my paper, I have proposed an effective approach to detect indoor/outdoor scene in a video that can
achieve better accuracy without slowing down the computation speed. The detection and classification is
based on the acoustic scenes and events in the video. The operation of database training and scene
classification are done with the information of audio signals in the video which can be obtained in two
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stages 1) feature extraction and 2)classification. Experimental results show that the proposed scheme
using spectral feature extraction technique and SOM (Self Organizing Maps) classifier is capable of
classifying indoor/outdoor videos with better accuracy at a reasonable speed.
Keywords—video summarization; image classification; feature extraction; spectral features; SOM
classifier (key words)
Smart Tank
Aanchal Pande, Dr. Krishna K. Warhade
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Water is an important natural resource
for human survival. Without freshwater of adequate
quantity and quality sustainable development will not
be possible. Water needs have risen exponentially
to an unusual scale in India during the past decade.
Urbanization, climatic changes and wasteful usage
has further depleted the resource. Ensuring access to
safe and clean water is another issue that requires
attention. This paper investigates IOT based low
cost system for real time monitoring water quality.
The system consists of several sensors immersed in
water to infer the quality of water. The parameter
considered are temperature,turbidity,pH and level
of water to be measured. The measured value is
processed by wemos d1 mini microcontroller and send
the data to raspberry pi. Finally,the sensor data can
be viewed on internet using cloud computing.
Fingerprint liveness Detection using Deep Stacking Network
Akshata Shet, Prof. Charudatta V. Kulkarni
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
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Fingerprints have been most generally utilized for diverse security systems due to the high-level accuracy
and users convenience. Since fingerprints begin to be broadly used in the smartphones and tablets for
payment as well as security, high-performed algorithms have been explored in literature. At the same
time, such mobile systems are highly required to detect spoofing attacks by fabricated fingerprints with
malicious intends. In this paper, we propose a static software approach for detection of fingerprint
liveness. We combine Speeded-Up Robust Features (SURF), Histograms of Oriented Gradient (HOG)
and texture features from Gabor filter and deep stacking network as classifer of the system. As deep
learning recently adapting success in machine learning and pattern recognition area for its ability in deep
feature extraction and representations.
MODBUS Protocol Implementation for Microcontroller(cortex M3)
Devanshi N. Patel, Prof. Sunil B. Somani
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
With the evolution from the distributed
communication to centralized communication and now
need for the busfield communication has come into existence.
So the system communicating with the various
devices at one time for the data acquisition and
in various other fields like automation,is needed this
and prove to be reliable and have a fast communication
system.The paper presents the design of the system
that can implement a master-slave communication.
The communication is not restricted to the particular
network devices only.This system can have twoway
communication.Master asks for the status and in
return slave responds to the request and sends its result’s
which can control the further process of communication.
The system got Cortex controller(Cortex
M3),32-bits ARM processor,that provides speed to the
system.This system implements MODBUS protocol,an
application layer protocol for the communication between
master and slave through RS485 for communication
interface between devices.Here RTUmode of
coomunication is used in MODBUS.In this paper RTU
mode is implemented as it is faster than the ASCII
mode.
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Detection of Cataract, Conjunctivitis and Stye Disease Using Histogram of
Oriented Gradient
Mrunalini Manchalwar, Krishna Warhade
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
The eye is a standout amongst the most critical tangible organs in the human body which comprise of
pupil, iris and sclera. Eye disease is a typical medical problem around the globe. Considering the most
widely recognized eye illnesses like cataract, conjunctivitis. Cataract causes a kind of blurring on the
focal point prompting to diminished vision and if kept untreated for long prompts to lasting visual
impairment. Conjunctivitis or pink eye is a condition where the conjunctiva of the eye is aggravated by an
infection or by an allergic reaction. There are different automatic cataract, conjunctivitis recognition and
order strategies accessible today. In this paper, preprocessing is done for specified eye disease images
which is followed by feature extraction and classification. The image is classified as cataract disease,
conjunctivitis disease and normal eye using minimum distance classifier.
Integration of LIDAR Data and Aerial Images for Building and Tree
Detection
Pavan Malbhage1, Dr. Suchitra Khoje
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Building detection and tree detection are vital in numerous applications, including map updating, city
displaying, and urban development examination. By using Satellite images and LiDAR data, we can
detect building and trees. By proper processing data noise is removed and images are enhanced. Color and
texture are features are extracted from images. These extracted features are given to Support Vector
Machine (SVM) for classification. After classification these results are evaluated manually.
Obstacle Detection, Classification and Tracking using Deep Learning
Framework
Pritam S. Kore, Dr. Suchitra Khoje
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MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
This paper details about a framework for preceding obstacle detection, classification, and tracking.
Obstacles classifies as vehicles and pedestrians, based on a deep learning approach. The given framework
uses deep learning approach to reliably detect, classify and track on-road vehicle and pedestrian. The
system is first detects obstacle, which are appearing along the road, using Gaussian Mixture Model
method. Second, the output of an obstacle detection stage is input to classification system based on
Convolutional Neural Network (CNN) i.e. a deep learning model. Finally, the detected obstacles are
tracked by using Kalman Filter. The proposed framework we are going train by using several datasets in
various driving conditions. This framework provides better accuracy and meets real time requirements.
Cost E cient Virtual Laboratory: A teaching aid
Rajita Dak,, Dr. Suchitra Khoje
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Recent developments in ICT paved a new
way in engineering disciplines by including the concept of
Virtual Labortory. Laboratories are essential place where
students practice and learn experiments by physically do-
ing it. Due to the invent of this new idea of Virtual lab-
oratory students can practice anytime and at anyplace,
open new horizon of the learning experience and widen
participation. In this paper we have proposed a scheme
to implement two communication modulation techniques
i.e BPSK and QPSK on System Generator using MAT-
LAB/ Simulink software. Simulated results of both the
techniques is presented in this paper.
Non invasive techniques for induction motor fault detection
Sayli A. Deshmukh, Prof. A.R.Askhedkar
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
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Induction motors have applications in the field of transportation, manufacturing, mining, and
petrochemical and in almost every other fields dealing with electrical power. So, condition monitoring
and fault diagnosis become necessary to monitor the health of the machine. The present paper discusses
the fundamentals of Motor Current Signature Analysis and fault detection of the induction motor using
MCSA. The objective of the proposed system is to detect broken rotor faults and vibrations of the motor.
MCSA technique is used for the detection of broken rotor fault based on the current through the
transformer. For vibrations of the motor, ADXL 335 vibration sensor is used. For the analysis of faults,
Fast Fourier Transform is performed by using MATLAB.
Performance evaluation of Ripplet transform as texture characterization for
iris recognition
Sonali Tunga1, Dr. Suchitra Khoje
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
The iris is considered as the most reliable authentication technique as compared to the other biometrics
for authorization; since every individual possesses unique iris features although they might have similar
DNA. The proposed system uses hough transform for segmentation, Daugman’s rubber sheet model for
normalization, ripplet transform for feature extraction and finally svm for classification
SMART AUTOMATIC RATIONING FOR PUBLIC DISTRIBUTION
Surbhi A. Surkar, Prof. S.B. Somani
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Now a day ration card is extremely vital for every home and used for various field such as family
members details, it perform as address proof for various purposes etc. All the people uses a ration card to
obtain the various materials (sugar, rice, oil, kerosene, etc) from the ration shops. The present ration
distribution framework has downsides like wrong amount of products, low processing speed, and large
wait in time, material theft in ration shop. The proposed framework replaces the manual work in ration
shop. The principle goal of the planned framework is the robotization of ration shop to give
straightforwardness. The proposed automatic ration shop for public distribution framework is based on
Smart Card innovation that replaces ordinary ration cards. Aadhar cards are used instead of conventional
ration cards where each user is provided with unique barcode. Smart card based automatic ration shop is
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novel approach in public distribution framework (PDS) valuable for more productive, precise, and
automated strategy of ration conveyance. Open dissemination framework additionally called rationing
distribution framework is one of the generally disputable issues that include malpractices.
Design and Development of Web server for Industrial Air Pollutants
Santosh G. Bhandarakawathe, Prof. S. B. Somani
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
For last few years, challenges of monitoring
and control of distant environmental parameters
accurately has emerged as new field of research. The
concept of Internet of Things (IOT) is also emerging
very fast where everything around us comes with an
internet connectivity for monitoring and control.
Monitoring the environmental parameters and
initiating a control action from internet is also part of
this concept. In our proposed work, we design an
environment monitoring system, capable of monitoring
and control of environmental parameters like
temperature, CO, NO2, SO2, PM2.5 &10. Also, we
focus on design of a low cost system that is capable of
not only remotely monitoring the environment variables
like temperature and industrial pollutants but also
initiates some control action like switching devices
ON/OFF from the internet. This system uses Wireless
sensor Networks for sensing the environment
parameters in the area under supervision. Sensors Node
has been designed to measure the temperature, CO,
SO2, NO2, PM2.5&10. The Control node has been
designed to initiate the control action. The Central
Monitoring is based on ARM11 raspberry pi board.
IoT enabled Environmental Monitoring & Flood Prediction
Swapnil Bande, Prof. Dr. V. V. Shete
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MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Floods are natural disasters that cause huge devastation of natural life, property and infrastructure every
year.Flooding is influenced by various hydrological & meteorological factors. Researches in direction of
flood prediction have shifted from mathematical models or hydrological models to algorithmic based
approaches. IoT is an emerging field that is a combination of embedded system hardware and wireless
communication network which further transfers sensed data to computing device for analysis in real-time.
ANN has been proven to be best for non-linear time-series prediction. So in this paper, we present an IoT
enabled flood monitoring and ANN based flood prediction integrated approach with the aim of enhancing
the reliability and making it scalable.
SECURITY SYSTEM BASED ON VOICE AUTHENTICATION
Rohit Waykole, Prof. C. V. Kulkarni
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Biometrics is a physical characteristic unique to each individual & more popular to identify people and
authenticate them for access to secure areas and systems. This paper presents the security systems based
on the voice biometrics. It describes the methods and algorithms used in the existing systems. The paper
contains the architecture of the system, its functionality and method used to verify the speaker also the
performance optimization methods of the implementation. Accuracy and the speed are two of the biggest
factors taken into consideration while implementing the algorithms, so this paper summarizes the current
efforts to overcome these problems and provide better accuracy and speed.
Upgradation Of Data Acquisition System At Engine Test Cell
Sailee Pawar, Prof. Dr. V. V. Shete
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
In this study it is intended to design and implement a data acquisition system for the testing of a diesel
engine at Cummins India Ltd. In this regard, required data acquisition software and hardware, personal
computer, instrumentation components including sensors, thermocouples and related elements are
selected, procured and installed to the test center. Voltage readings are made through information
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obtaining equipment and those are changed over to designing units and remedied to standard qualities
(weights, temperatures, speeds, and so on) by software application to calculate Diesel engine performance
parameters. Compared to manual testing, manual recording and manual calculations in old system, new
data acquisition system provided significant reduction in test times (more than 50%) and similar
reductions in fuel and labour costs are obtained. Improved test reliability, repeatability and more
consistency between engines are also achieved.
Data are also checked for the range of acceptable limits to trigger necessary alarm messages or sounds
where applicable. Test data are stored and archived for future analysis.The proposed system is intended to
set up a low cost, fast and configurable data acquisition system consisting of sensors, Data acquisition
hardware and software package for acquisition and processing. The sensors are used to measure Dyno
torque, different types of temperature (oil, inlet and outlet water temperature), crank angle and engines
RPM. The processing includes test cycles to prepare the acquired data for analysis. This system gives
improved methods of collecting, recording, and reducing test data for increased test cell utilization in an
engine test cell. This system provides better data, faster, and
at a lower cost.
Wireless water flow measurment
Pragya Jain, Prof. Dr. V.V. Shete
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Water auditing is an emerging method of increasing accountability for water utility systems. Auditing
simply means keeping the record of how much you have and how much you have used out of it. Our
system will able to keep record of how much amount of water has been used from the tank and also it is
able to show the time. At what time how much Quantity of water has been used by the other tank which is
a household tank in our system we consider. The data can be viewed remotely with the help of iot using
the cloud platform. We does not have to present physically near the whole setup .It is an application of
IoT.
Internet Of Things (Iot) Based Monitoring Of The Pharmacy Store
Trupti Kapse, Mrs. S.M. Kulkarni
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
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For as far back as a long time since its appearance, Internet of Things (IoT) advancement has been driving
the planet towards a splendid world where all contraptions and physical things, alluded to as things, will
be associated by means of electronic sensors through the Internet. The transport of solution to patients at a
drug store in particular regions is still greatly standard and out of date. Patients sit tight for quite a while
in lines to get their pharmaceuticals; this is generally a result of the nonappearance of a compelling
apportionment system. Also, the refrigeration temperature inside a few drug stores is an enormous issue,
as prescriptions must be kept at a reliable temperature for perfect results. In this we propose an essential
and strong approach to manage to regulate a drug store, the technique relies on upon electronic sensors
related with Raspberry Pi, to play out a pharmaceutical interest and moreover to control the refrigeration
temperature inside drug store racks. The execution cost of such structures is fundamentally more
affordable than programming based framework; this makes such systems fitting for underprivileged
zones. This system was created and worked for a drug store however it can be summed up for various
purposes.
INDUSTRIAL WASTE WATER ONLINE MONITORING SYSTEM
Mangesh Mundhe, Prof. S.B.Somani
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
The significance of mechanical waste water screening is undoubted in this age. Industrial squander water
checking is basic to knowing whether the nature of our water is improving or more awful. Data
accumulated through mechanical waste water checking is imperative to a wide range of leaders. So it is
important to build up a framework that screens the mechanical waste water conditions.
Mechanical waste water checking is an arrangement of gadgets gathers information continuously and
exchanges it through a Remote Sensor Organize (WSN) to the specific organization site or ecological
division for investigation. Framework by and large joins inserted framework equipment strategies that are
valuable for web based observing modern waste water and send this data to organization site.
Detection of breast cancer at an early stage using local binary pattern
Abhijeet Sansare, Prof. S.R. Kinge
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
This paper presents the computer aided detection
system for breast cancer using Local Binary pattern for feature
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extraction and support vector machine for further classification.
The mammograms obtained from MIAS, are used for this
research. The MIAS database consist of 322Detection of breast
cancer at an early stage is an effective way to cure it.
Dynamic Time Warping for Music Conducting Gestures Evaluation
Snehal Kshirsagar, Prof. Mrunal Annadate
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Musical performer depends upon physical sign its necessary musical conductor. Conductor is art of
musical performance. Its main used to make sure right entry for multiple shape performed by different
member. In musical school teaching music by sign perform by basic. In proposed system, we implement
automatic recognized of hand gesture with different musical metric. Musical metric or sign performed by
hand and it detect to RGB-D camera for capturing system. We implemented dynamic Time Warping
algorithm for pattern recognized. The DTW Framework are converted into different pattern Duple, Triple
and quad triple. Experimental results specify
that the classification system represents development over
other existing related approaches.
Design and Development of Electric Wheelchair for differently abled person
Ankit Kumar Mishra, Prof. (Dr.) K. K. Warhade
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
In this paper, development of Electric wheelchair for helping the people who are physically handicapped
has been proposed, a person who cannot feel or move his or her legs can easily use the electric wheelchair
using joystick or by some other ways but there are people who suffer from several sicknesses or diseases
and they can not use the wheelchair using ways of interacting like joystick, such people can only drive the
wheelchair using eye blinking, brain signals or some other communication and providing complete and
total control to such wheelchair is main work to do, setup of these wheelchair is discussed in this
proposed system. Using different useful things to build cost efficient system, showing how sensors and
drivers are being communicated with the Microcontroller and their complete and total working to drive
the wheelchair according to the signal or inputs either from joystick interacting or some other
communication. Obstacle avoidance, Heart beat monitoring, temperature and humidity sensing is added to
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the wheelchair to provide the patient better way of living and to manage the risk of getting any medical
illness, the wheelchair can also be traced by using Global Positioning System.
Segmentation of Coloured images
Rohan Taksande, Prof. S.R. Kinge
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Image segmentation is a challenging task for the computer perception and their application which divide
the image into consequential regions. Obtaining the consequential region and applying the successive
processing(e.g., scene understanding) is a tough job.
In this paper, the proposed system uses different types of algorithm for the colour image segmentation.
The segmentation methods proposed is based on watershed segmentation, region adjacency graph(RAG),
region k-means.
Interpreting BCI signals for wheelchair maneuverability
Pallavi Kohli, Prof. (Dr.) K. K. Warhade
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Brain Computer Interface(BCI) provides an opportunity that allows us to convey the thoughts of the brain
without actual communication. BCI is of great advantage for people who suffer from degenerative
disorders. Some of its examples are paralysis, Alzheimers or Parkinson’s disease. In these diseases, the
patient loses his memory and communication ability in the later stages of the disease. BCI is of great help
for such people whose life has become dependent on their family members and friends. This technology
allows them to become independent by providing them an alternative means of communication.
IOT BASED SMART E-CARE SYSTEM
Jaimini Shah, Prof. S. R. Danve
MIT COLLEGE OF ENGG. PUNE [38]
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ABSTRACT
Devotion towards own body is one of the important factor considered in this era. The equipment’s which
provide results at run time and also accuracy maintained are provided by the electronic engineers .To
detect the relative electrocardiogram (ECG) signal of the user, a multi-thread method is proposed with the
objective of enhancing the accuracy and the response time of detection With the help of new technology
of Raspberry Pi, E-care system . In this type of technology same area network is shared by multiple users
which help in monitoring. Wireless communication is done through Wi-Fi which provides flexibility and
extendibility. In this paper the ECG signal is used for the detection of the normal and abnormal RR-
interval signals. It’s an efficient system to detect the patient’s heart activity using ECG sensor. ECG
signal classification done by EMB (empirical mode decomposition) method for accurate ECG signal
using MATLAB for accuracy.
Solar inverter with grid power generation
Wanje Govind Marotrao, Prof R. Y. Mali
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Power demand of any country depends on the Eco friendly plant which can generate huge amount of
Power. Power generation using photovoltaic design is very important in terms of power generation with
huge amount from KWs to MWs and help to great extent increasing the installed capacity and help
electric utility companies in meeting increasing load demand along with minimizing the distribution
losses. The proposed sun powered vitality transformation unit comprises of a sun oriented exhibit,
Bidirectional DC-DC converter, single stage inverter and AC. As we know the main work of inverter is to
invert the DC voltage of solar cell into AC voltage. The photovoltaic sun powered vitality (PV) is the
most direct approach to change over sunlight based radiation into power and depends on the photovoltaic
impact. This Paper Presents the New Design; Development and Performance Analysis of a Grid
Connected PV Inverter. Demonstrate that the proposed framework can lessen the Energy Consumption
radically from the power board and give a solid support to the Grid.
ABNORMALITY EXTRACTION USING STATISTICAL HYPOTHESIS
DETECTOR IN CROWD
Payal Purushottam Likhar, Prof. P. P. Gundewar
MIT COLLEGE OF ENGG. PUNE [38]
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ABSTRACT
Abnormal activity detection is complex method. For man force finding abnormality is risky and
difficult work. Many existing techniques are used to detect abnormality in crowd but not work properly .
To address these problems, in this paper, a various techniques are used. Super Vector Machine(SVM) for
simplification, wavelet transform for feature extraction. VIDEO surveillance equipment has been used
for security purpose.
Power Efficient System For Smart Campus
Snehal Dixit, Prof. S. M. Kulkarni
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Today is a new era of computing technology
i.e. Internet of Things (IoT). IOT can be
termed as a âoeuniversal global neural networkâ in the
cloud which connects various things. Internet is a revolutionary
invention, it has always been transforming
itself into some or other new kind of hardware
and software which makes it irresistible for anyone.
Nowadays the communication is in the form of humanhuman
or human-device. But the future of internet i.e.
IoT promises a machine-machine type of communication.
The IoT is a system comprising various devices
or systems which are intelligently connected which interacts
and communicates with other machines, environments,
objects and infrastructures. With the areas
like business, transportation, medicine, energy, agriculture
and others, the Internet of Things also finds a
major implication in education. A university campus
can be considered as the ideal place for the creation of a
smart environment. The aim of the hereby paper is to
describe a new concept called Smart University by providing
a comprehensive overview of the IoT scenario
and reviews its enabling technologies and the sensor
networks.
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Three Dimensional Surround View system
Shashikant Chavan, Dr. V. V. Shete
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
The evolving automotive ADAS (Advanced Driver Assistance System ) technology is consist of
automotive surround view camera system on vehicle . The automotive surround view camera system
assists the driver during drive the vehicle. The system is providing 360 0 view around the vehicle by
using four (fish eye lens) cameras attached around the vehicle, each covering a different direction .The
camera calibration method use to produce inverse prospective mapping of undistorted images onto 3D
bowl model, stitched those images on bowl geometry ,and then rendered those images as third person
point of view selected by the driver. This system is use to remove blind spot problem during the drive the
vehicle. The system runs real time on DSP C66x producing surround view around vehicle.
Personal Security System
Sujata Punait, Prof. A.R. Askhedkar
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
—In current era, official statistics depicts that
there has been a dramatic increase in the number of
reported crimes against women. Especially, molestation
and kidnapping cases are on rise and apart from this many
cases are not even reported to the police. No girl feels safe
while stepping out from their house alone. This arises the
urgent need to have solutions to this problem, many
solutions in form of different security devices are available
in the market. But all have certain drawbacks, which
makes the security device useless as when user is unable to
trigger the device, device gets broken/lost , internet is not
available .This paper, recommends another point of view
to utilize innovation to ensure ladies safety. This presents a
personal security system that overcomes the drawback of
already available solution in the market.
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Overlapped fingerprint separation for fingerprint authentication
Neha, Prof. P. P. Gundewar
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Fingerprints are considered to be the best and fastest method for biometric identification. They are secure
to use, unique for every person and do not change in one’s lifetime. Human fingerprints are rich in details
called minutiae, which can be used as identification marks for security purposes. This paper is a study and
implementation of a fingerprint recognition using image processing tool in Matlab. The approach mainly
involves extraction of minutiae points from sample fingerprint images and then performing matching
based on the number of minutiae pairing among two fingerprints in question. For each task, some
classical and up-to-date methods in literatures are analyzed. Based on the analysis, an integrated solution
for fingerprint recognition is developed for demonstration. It finally generates a percentage score which
tells whether two fingerprints match or not.[1]
Automatic head light controlling using CAN and LIN network.
Kalyani R. Gaikwad, Prof. R. Y. Mali
MIT COLLEGE OF ENGG. PUNE [38]
ABSTRACT
Sensor networks are dense wireless networks of small, low-cost sensors, which collect and
disseminateenvironmental data. Wireless sensor networks facilitate monitoring and controlling of
physical environmentsfrom remote locations with better accuracy.A sensor network is an infrastructure
comprised of sensing (measuring), computing, and communication elements that gives an administrator
the ability to instrument, observe, and react to events and phenomena in a specified environment. CAN is
a multi-master serial bus standard for connecting Electronic Control Units [ECUs] also known as nodes.
Two or more nodes are required on the CAN network to communicate. The complexity of the node can
range from a simple I/O device up to an embedded computer with a CAN interface and sophisticated
software. The node may also be a gateway allowing a standard computer to communicate over a USB or
Ethernet port to the devices on a CAN network.
All nodes are connected to each other through a two wire bus. The wires are 120 Ω nominal twisted pair.
CAN data transmission uses a lossless bitwise arbitration method of contention resolution. This
arbitration method requires all nodes on the CAN network to be synchronized to sample every bit on the
CAN network at the same time. This is why some call CAN synchronous. Unfortunately the term
synchronous is imprecise since the data is transmitted without a clock signal in an asynchronous format.
The CAN specifications use the terms "dominant" bits and "recessive" bits where dominant is a logical 0
(actively driven to a voltage by the transmitter) and recessive is a logical 1 (passively returned to a
voltage by a resistor). The idle state is represented by the recessive level (Logical 1). If one node
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transmits a dominant bit and another node transmits a recessive bit then there is a collision and the
dominant bit "wins". This means there is no delay to the higher-priority message, and the node
transmitting the lower priority message automatically attempts to re-transmit six bit clocks after the end
of the dominant message. This makes CAN very suitable as a real time prioritized communications
system.
Design and Implementation of Truncated Multiplier technique for DSP
Vandana Rathi, Dr. D.G. Khairnar
MIT PUNE [002]
ABSTRACT
The interest for electronic compact gadgets is increasing more consideration in late decades. Versatile
devices are requesting for low power and area. Multiplier is the basic piece of any math operation in
numerous DSP applications. So it is basic to plan multipliers that use less power and give rapid operation.
We require both sources of info and yields to have a similar bit width. A fixed width
multiplier can be acquired by truncating the least significant results of the multiplier. One primary
part of low power configuration is to limit changing activities to decrease dynamic power. So the
proposed bypassing will diminish Dynamic power and area dissipation. So Column bypass multiplier
is used in proposed methodology which is used for significant reduction in power and area. The
switching action ought not happen pointlessly and it ought to be kept away from by bypassing. These
elements make the proposed outline more reasonable for DSP applications like sifting, filtering. The
proposed work is depicted utilizing VERILOG Hardware Descriptive Language and executed
utilizing XILINX ISE 14.1 instrument.
WSN based Automatic Attendance Monitoring System
Aditya .D. Jogiji, Mr P M Ghate
MIT PUNE [002]
ABSTRACT
A sensor interface device is essential for sensor data collection of industrial wireless sensornetworks
(WSN) in IoT environments. However, the current connect number, sampling rate, andsignal types of
sensors are generally restricted by the device. Meanwhile, in the Internet ofThings (IoT) environment,
each sensor connected to the device is required to write complicatedand cumbersome data collection
program code. Attendance is one of the important factors thatdetermine the students rendering. An
effective information system needs to support a set ofactivities, which enable human beings to achieve
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effectively the objectives of the organization,supported by computer-based information(CBI)
technology. Traditional styles of attendancemanagement include hand-written signatures,
magnetic card etc. Apart from traditionalattendance systems or paper based attendance system,
there is a necessity to build a smart systemthat decrease load in managing the attendance and
improves the performance of colleges,universities and any educational institute. The most common
actions in educational organizationsinvolve identification of student, maintenance of student attendance,
security of attendance andelectrical power conservation at the place where the attendance is taken.
In this report, thementioned topics are covered and it represents how evolving technologies of radio
frequencyidentification (RFID) and wireless sensor network (WSN) can be used for building a
smartuniversity. Prototype is developed considering main concerns of a smart university. The
systemprovides effectiveness and efficiency in administering and managing the attendance
procedure,hence improving productivity and staff developmen
Design of PCT insensitive low power SRAM cell
Handge Somali R, Khule R S
MIT PUNE [002]
ABSTRACT
Abstract- 6T SRAM has high read current disturbance, 8T SRAM has leakage in read
path, 9T SRAM increases read access time. 10T differential Schmitt trigger SRAM cell
suffered from read write conflict and it is vulnerable to noise. Write assist circuits, boosted
supply, gated feedback write assist, cross point data aware are the techniques of power
optimization. Single ended topologies reduce the leakage and half of the active switching
power and saves chip area. This paper presents the review of 6T, 7T, 8T, 9T and 10T
SRAM cell and presents process, voltage and temperature variation (PVT) insensitive low
power cell using single ended Schmitt trigger for high stability.
A smart Reader for Blind People
Vaibhav Vijay Govekar, Prof. A. Meenakshi
MIT PUNE [002]
ABSTRACT
This work proposes the novel implementation of smart book reader with raspberry MATLAB. In olden
days more no of people are suffered with visually impaired. In particular, there is a need for a text reader
that is affordable and readily available to the blind community. Inclusion of the specially enabled in the
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IT revolution is both a social obligation as well as a computational challenge in the rapidly advancing
digital world today. This work proposes a smart reader for visually challenged people using MATLAB.
This work addresses the integration of a complete Text Read-out system designed for the visually
challenged. The system consists of a webcam interfaced with computer which accepts a page of printed
text. The proposed system is simulated under MATLAB software. In this MATLAB with the help of
image processing toolbox OCR (Optical Character Recognition) is performed with text to speech
algorithm. A sample image converted with each pixel by pixel and pixels are converted with binary
“0� and “1� conversion, segmentation and labeling, Synthesizer, the sample image text
document converted into speech which is heard by headset or speakers.
The audio output is obtained after the captured image is converted to text. The image captured by the
camera is converted to text and displayed in the form window and then the text is obtained as audio
output. Computer has the audio port where the output can be heard through the headphone or the speaker.
Once the image is converted to text MATLAB takes few milli seconds to convert it as a voice output. The
proposed system is under validated with both simulation and experimental verification it achieves the text
document is converted with speech for the use of visually impaired people.
NEW METHODOLOGIES FOR VEHICLE ELECTRICAL SYSTEM
MODEL SIMULATION
Mahesh Shrikant Dhavale, Prof.M.U.Inamdar
MIT PUNE [002]
ABSTRACT
Stringent emission norms being enforced in near future and a steep increase in the fuel prices, have
resulted in an increasing effort to optimize the fuel consumption and reduce greenhous gas emissions in
vehicles with conventional Internal Combustion Engines. A reduction in fuel consumption, will always
result in a reduction in toxic gas emissions. Micro and Mild Hybrid Systems, are the primary options to
achieve the required target of reduction in fuel consumption. Micro and Mild Hybrid systems include
functions like Engine Stop/Start, Intelligent Alternator Control, and Load Management, in which the
engine output is optimized and wasteful running of the engine is prevented to improve the fuel efficiency.
Intelligent Alternator Control is a function under Micro Hybrid Systems, in which the electrical energy
generation, storage, and distribution is optimized, with the functions like battery SOC control, energy
recuperation, and passive torque boost. The Alternator is controlled by a Electronic Control Unit, which
sets the output voltage of the Altrnator, based on the control algorithm decisions.
Development of such system functions is a complicated project. Particularly, the validation activities
demand lot of effort and investment, due to time involved, specific test conditions, and specialized
resources required. In such a scenario, Simulation of the vehicle performance promises to be a primary
solution, as the approach helps in advancing the assessment, and even without the need for the
implementation on a vehicle and physical tests on the same. Varius commercial tools are available for
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simulating the vehicle performance, and some tools even offer turnkey solutions. However, development
of a custom simulation model is preferred, in order to address the special features of Micro Hybrid
System Functions.
In this project, an attempt is made to develop a physical system simulation model, VESSiM, in the
physical modeling toolbox of Simscape®. Simulation model is targetted at simulating the performance
of vehicle’s electrical system and estimating the fuel consumption of vehicle. Modeling scopes covers the
physical modeling the of the vehicle under its longitudinal dynamics (including the entire power train
modeling and accessory drives of the engine), complete electrical system, and associated control system
and its tunning.
The project follows the systems engineering approach for the development, and starts from the
requirement analysis, and closes with the validation of the model. Although the model would be designed
to have the flexibility to simulate different vehicle platforms with different specifications, scope for this
submission is limited to configuring it for one vehicle platform, and validating the performance, on one
specified drive cycle, for the simulation of Battery Charge Balance only. Micro Hybrid Functions are kept
out of scope from this academic submission due to confidential information and time contraints as well.
Parameter identification will be limited to requirements in the respective Simscape blocks. Comparison of
the results of simulation with the actual vehicle performance will be carried out with the availabe test
data, and there would be no scope for any physical tests being carried out to validate the model.
Key Words: Modeling, Simulation, Simscape, Simulink, Fuel Consumption, Emission Control,
Automotive Electrical System, Vehicle Performance, and Advanced Product Quality Planning
Fingerprint liveness Detection using Deep Stacking Network
Akshata Shet, Prof. Charudatta V. Kulkarni
MIT PUNE [002]
ABSTRACT
Abstract-Fingerprints have been most generally utilized for diverse security systems due to the high-level
accuracy and users convenience. Since fingerprints begin to be broadly used in the smartphones and
tablets for payment as well as security, high-performed algorithms have been explored in literature. At the
same time, such mobile systems are highly required to detect spoofing attacks by fabricated fingerprints
with malicious intends. In this paper, we propose a static software approach for detection of fingerprint
liveness. We combine Speeded-Up Robust Features (SURF), Histograms of Oriented Gradient (HOG)
and texture features from Gabor filter and deep stacking network as classifer of the system. As deep
learning recently adapting success in machine learning and pattern recognition area for its ability in deep
feature extraction and representations.
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VERILOG NETLIST OPTIMIZATION FOR CMOS & ROUTE IN
MICROWIND
Mahesh Jaiswal, Prof. V. S. Bendre
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Microwind is a software tool which is used for CMOS IC layout design. The gate level design is created
in schematic editor and simulator tool DSCH. The transistor size in the last few decades is shrinking
drastically with the rapid advancement of VLSI technology to integrate more number of transistors on a
single IC chip. This will indirectly affect the complexity in the placement and routing of the logic devices.
And for any tool it is always a challenging task to make an efficient placement and routing of the cells.
One of the EDA tool for CMOS design is MICROWIND, which uses a verilog net list generated by a
schematic editor DSCH. This paper focuses on improvement in Microwind tool by implementing a logic
optimization method for rearranging verilog net list according to interconnect wire nodes and number of
logic cells like CMOS inverter, AND, OR etc. gates using MOS at 120nm technology and using FINFETs
at 14nm technology. Our algorithm will rearrange net list and cells without reducing the actual transistors
count. Therefore only the total numbers of metal layers, area of chip and interconnect delay etc. will get
reduced to produce an optimum design.
Model Based Embedded Control System Design for Smart Home
Neelam Agarwal, Prof Varsha S. Bendre
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
The notion of a smart home with integrated sensors, actuators, wireless network and a graphical user
interface is very enticing. The proposed system presents the design and implementation of reliable,
flexible, secure and economical sensor network for transforming traditional home into a smart home. The
heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed in the
home environment. Hardware proposed, is going to control all home appliances in home along with
exchange of data for energy and performance Analysis. All devices are connected through wireless
protocols, to provide seamless data transfer between control module and appliances. Complete home
environment and control system modeled in Matlab Simulink before implementation, model based control
approach is the key to develop this application, and control model will be embedded in the
microcontroller board to realize the actual application. With system model and control model, will be able
to perform model in loop, software in loop, hardware in loop testing. On successful testing, the actual
implementation will be demonstrated with wireless network, actual loads and central processing control
unit which control the home environment, using Model Based Control Design.
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Automatic compact metal routing algorithm in MICROWIND
Pratik Kulkarni, Prof. Deepti Khurge
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Trend of CMOS technology improvement continues to be driven by the need to integrate more functions
within a given silicon area. Today’s miniaturisation of devices and many of foundries are fabricating the
IC’s in 20nm and 14nm technology like INTEL, TSMC. 20nm and 14nm is a drastic shrinking in silicon
size called deep submicron technology (DSM) which are driving most of the today’s products like mobile
phones, laptops. With the introduction of DSM technologies there is a huge impact on routing because of
increased numbers of transistor and eventually space of routing. There are various CMOS design tools
which can convert a design into a layout and efficient routing. One of such program is MICROWIND
which has inbuilt placement and routing tool and algorithms to place and interconnect transistors using
various metal layers in DSM technologies. To increase the performance for such routing, higher number
of metal layers can be used in physical design layout and such features should be introduced in a EDA
tool in accordance with technology rules. This paper focuses on optimizing routing algorithm used by
MICROWIND to efficiently perform routing, reducing load on routing space. By using this feature we
can reduce the delays, interconnect length, routing pitch and area on chip.
Modeling and Implementation of 10-GHz FMCW Radar Height
Measurement Device (30m Range)
Poonam Gawande, Prof. G. R. Rahate
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
The demand for high accuracy radar systems is continuously growing, especially in automation industry.
In general, a radar system uses modulated waveforms and directive antennas to transmit electromagnetic
energy to search for targets. Objects (targets) will reflects portions of this energy (radar returns or echoes)
back to the radar. These echoes are then processed by the radar receiver to extract target information such
as range, velocity, angular position, and other target identifying characteristics. Early radar development
was driven by military necessity. Radar now enjoys an increasing range of applications. Most of radar can
be classified as detection, tracking, or imaging. Radar is better choice than camera or an accelerometer
because it does not need complex algorithm or moving parts.
FM-CW radar (Frequency-Modulated Continuous Wave radar = FM-CW radar) is a special type
radar (CW-Radar). FMCW radar is simple in design, small in size and weight and uses low transmitting
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power. In FMCW the transmission signal is modulated in frequency (or in phase). Simple continuous
wave radar devices without frequency modulation have the disadvantage that it cannot determine target
range because it lacks the timing mark necessary to allow the system to time accurately the transmit and
receive cycle and to convert this into range. In this project we have done Modeling and Implementation of
10-GHz FMCW Height Measurement Device in MATLAB Simulink, find different parameters such as
distance between the target and antenna (Range), SNR, noise figure, output power, noise power, beat
frequency, bandwidth, Doppler frequency etc. operating at 10 GHz. We have also done high speed ADC
interfacing and signal processing on received signal called as beat frequency to estimate range.
The Automatic Blower Logic For Trapped Occupant Inside Vehicle Cabinet
Shirish Kalbhor, Prof. Varsha K. Harpale
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Considering the accidents due to suffocation of trapped occupant inside the vehicle cabinet, no such
system is develop which can detect the trapped occupant inside the vehicle and hence in some cases
results to occupant death. Therefore the system needs to design which can detect the occupant inside the
cabin irrespective of vehicle condition. There are various methods are design and developed by different
authors for various security and safety features. The selection of camera module and the supporting
sensor, the algorithm used for detection and classification of living and non living things, the position of
the camera and supplementary sensors inside the vehicle cabin these were the key challenges for
designing the system. The designed system is able to detect occupant inside the cabin and take preventive
action to avoid the suffocation of the trapped occupant.
Touch Screen Based User Interface
Nikita Ranadive, Prof A.R. Suryawanshi
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
The touch screens technology based UI (User Interface) are the best. The UI interfaces user with the
machine. When user gives command the operation is selected and the machine gives response by turning
the LED on for the given selection and the operation is started. UI gives complete control of the machine
to user. UI should be easy to understand and less response time. Different types of touch screen
technology are studied and compared. User interface of different types are compared. Working of a
refrigerator is studied. UI for a refrigerator is developed. Hardware is designed and software is
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implemented to perform operation like increasing/decreasing temperature of refrigerator. UI is developed
for a refrigerator so that the user does not have to open the refrigerator for getting ice/water, increasing
the temperature, to lock the UI and other.
Digital Signal Processing of FMCW Radar for 30m Range Estimation
Priyanka Bhise, Dr. N.B.Chopade
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Frequency Modulated Continuous Wave (FMCW) radar system are gaining importance in many fields as
they measure objects and acquires information by changing the transmitting signal frequency along with
the time and by measuring the receiving signal's frequency with respect to the transmitting signals. So, a
practical FMCW radar signal processing method mainly used for eliminating noise interference from the
sampled signal, checking out the objective signal, and extracting the data as the processing results is
needed. FMCW radar is simple in design, small in size and weight and uses low transmitting power. This
project mainly includes the digital signal processing that is to be performed on the signals obtained during
range estimation of the FMCW radar which is obtained after modelling and simulation. Further a digital
signal processing using FFT algorithm will be done for extracting and isolating targets in the return signal
of FMCW radar.
Dispenses of Multiple Beverages and Soft Drinks
Asmita Bodhale, Prof. J. S. Kulkarni
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
The scope of this paper is to design entire control of Beverage Machine. This machine is able to dispense
natural water, cool water, cold water, hot water and aerated water. Also capable to produce many
beverages like juice and soft drinks using capsules. Dispenser machine operates with customer
interaction. Whenever customers press the main dispenser button and option key to select natural water,
cool water, cold water, hot water or other beverages like juice and soft drinks through UI like pantry
Control. For dispenses, the beverages done after capsule identification with barcode, mounted on
beverage capsule. The user interface board will contain the illuminated display, microcontroller and
drivers to drive the display. Theory of operation is the user will interact through commands. The
command will be interpreted and sent to the microcontroller at the appliance control unit (ACU) for
processing. The user interface should handle the entire user interaction. The user interface will interpret
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the commands and determine what beverage dispense mode, temperature and time length for a mode then
send it to the appliance manager (appliance control unit) to perform operation like handling of water
filling and dispensing also beverage preparation and dispensing in the system.
Automatic Demographic Feature Estimation For Face Image Using Boosting
Algorithm.
Akshaya Pisal, Dr.K.S.Kinage
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
In the digital revolution identifying the attributes of human population has become necessity for social
economic benefit distribution, security and surveillance. Age estimation is one of the interesting and
challenging research problem from last several years. Estimation of Age is defined as determine
particular person age or age group from given face image. Feature extraction is most important focusing
area, were pixel level feature, global feature ,local feature are extracted from face image. Feature
extraction converts pixel data into a higher-level representation of shape, motion, color, texture, and
spatial configuration of the face or its components. The extracted representation is used for subsequent
age group categorization.Person’s age is determine based on biometric features. We first perform Pre-
processing using HSV Color space model and Gaussian filter from given face image then Boosting
algorithm are used to extract Biologically Inspired features(BIF).Boosting algorithm developed with
Hierarchical MAX (HMAX) method. Then compared our feature extraction approach with standard
HMAX algorithm for better classification. The experimental result shows that our proposed feature
extraction method extract more feature and increase response time compared to standard HMAX method.
Finally Feed Forward Algorithm are used for Classification and better age estimation. Image databases
required is MORPH II (75K images) FG-NET(1K images),PCSO(100K images).
MODEL BASED DESIGN AND TESTING APPROACH FOR HOME
APPLIANCE SOFTWARE DEVELOPMENT
Pranoti Joshi, Dr.N.B.Chopade
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Increasing demand in high quality consumer products with high safety requirements and reduced time-to-
market are the challenges faced during the development of these products. Many of the consumer
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products incorporate multi-disciplinary (electrical, mechanical, electronic) systems as a part of hardware
along with complex software that controls the hardware. Late integration of these multi-disciplinary
systems in the development cycle followed by the software verification and validation may lead to
expensive redesigns and delayed time-to-market. Model based design (MBD) approach can be used to
overcome these challenges. Plant/system modeling is the crucial part of model based design as the entire
product development process depends on the fidelity and robustness of the plant model. The main focus
of the work will be to formulate and implement a dynamic system model of dishwasher for automated
Hardware-in-loop verification and validation of the embedded software.
Digital Timing Path Analyzer for DSCH Program
Vishal Khulape, Dr. Vijay N. Patil
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Timing, is the most important factor from all field and analysis of timing measurement is also essential
before actual implementation. In Deep Sub Micron (DSM) era miniaturization of transistor size comprises
in increasing the complexity of digital circuit design. As we know that in VLSI domain there is always
trade-off among power, area, speed and cost but the performance of a design depends on the execution
speed of the designed circuit. The trade-off between power, area can be compromised but no compromise
in timing. So successful development of ASIC depends on accurate modeling of its operation. Designing
a circuit to be logically correct is simple whereas producing an accurate timing model is critical. IC’s are
computer representation of the physical device so the designer’s role is to design models characteristics
with precise accuracy as actual silicon behaves. CAD tools are designed to offer an automation of
process, as the designer is still a human being who controls how the tool will perform. Therefore CAD
tools are also susceptible to GIGO: Garbage In Garbage Out, Phenomenon. Timing analysis is an integral
part of ASIC design flow. As there are number of EDA tools that supports timing analysis. DSCH is a
subpart of microwind chip design EDA tool, specialized in schematic digital circuit design that also
supports timing analysis. This paper describes the theory of static timing analysis (STA) and its design
and implementation in DSCH tool.
Implementation of robust video stabilization algorithm on DSP processor
Dipali Umrikar, Prof. S. L. Tade
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
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Videos recorded by handheld or moving cameras are always suffer from video instability due to
vibrations and unintentional camera shake caused by road bumps or wind blow. Such weakness causes
visual unpleasantness and interference for subsequent experiments. Video stabilization is the process to
remove unwanted shakes and jitters to give a visually pleasant video. This paper presents the digital video
stabilization algorithm to satisfy the need to remove unwanted jitters, shakes and create stable video based
on Block based method. Motion Estimation and Motion Compensation are the two major steps for Video
Stabilization. In the entire motion based video stabilization process Motion Estimation is the most
computationally expensive and time consuming process. The camera Motion derived visually by tracking
features such as corners in the video feed and fitting them to an affine model. In this paper, we present a
video stabilization algorithm using Block based method to rotational translational and camera motions.
Motion Estimation estimates the motion between frames and Motion Compensation warps the current
frame using the filtered global transformation information and generates the stabilized video sequence.
This algorithm works efficiently and good performance obtained experimentally.
Implementation of epileptic seizures prediction using hybrid model of mRMR
and genetic algorithm
Pradip Thorbole, Prof. V. K. Harpale
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Millions of people living with epilepsy in the world and most of them are from developing countries.
Epilepsy occurs mainly due to epileptic seizures and mainly observed in child and adults. It shows
symptoms like violent shaking and loss of control. Seizure detection and prediction is done by using
analytical methods applied to features which are extracted from Electroencephalographic (EEG)
recordings. Seizure forecasting would significantly improve the quality of life of epileptic patients.
Predictive algorithms use high dimensionality data to evaluate the likelihood of an impending seizure.
Seizure detection algorithms involve two main steps. First one is EEG, which is the representation of
electrical activity produced by firing of neuron within the brain and second is a threshold or model-based
criteria must be applied to that huge data to determine the presence or absence of a seizure (GA). Seizure
classification is done by combining a minimum redundancy maximum relevance (mRMR) approach for
seizures feature selection and a genetic algorithm (GA) for seizure classification. Result shows seizure
feature selection and implementation of genetic algorithm on FPGA.
IMPLEMENTATION OF BARREL DISTORTION CORRECTION ON
FPGA
Smita Darvatkar, Dr. Sheetal Bhandari
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PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
The present era of Engineering has brought tremendous automation in industry as well as in day-to-day
standards. Vision based system is playing major role in bringing this automation. It provides capability to
visualize things and objects beyond human vision and to extract and analyze all necessary information
from it like the X-ray system, automated parking lot or traffic control system, automotive industry; video
surveillance for military and security applications etc. Wide angle lens used in these vision based system
is powerful tool for magnifying the details and relative size of objects captured using cameras in these
systems and display the larger field of view. Unfortunately, the increase in the Field of view with wide
angle lenses comes at a price of more pronounced geometric distortion causing straight lines from the
scene to appear as curves in the image plane (Radial Distortion). Such distortion produces less realistic
images and affects objects relative sizes, depending on their position in the image. It is therefore desirable
to correct fisheye distorted images into their approximately rectilinear versions before presenting to the
end viewer. The Distortion correction algorithm includes complex mathematical functions and hence
requires large time to execute. Benefitting from hardware accelerators and softcore processors along with
design flexibility FPGA seems to be good choice as hardware architecture for implementing Distortion
Correction algorithm for real time video capturing systems with minimum distortion. This paper thus
aims in implementing a Perspective model for Lens distortion correction on Virtex-5 FPGA board capable
faster processing and reduced logical resources.
Video Error Concealment using Moment Invariance
Aditi Ghuge, Prof Rajani P. K.
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
Video error concealment is error hiding Technique. Recently there is need of Error Concealment in video
applications. Video applications are widely used in many domains such security, entertainment,
advertisement, media. In this paper, performing “Video Error Concealment― on an error video, by
doing simulation on MATLAB using Moment Invariance to produce an error concealed video. Error is
detected and corrected by using moment invariance and block matching algorithm. In moment invariance
method, dividing the current image frame from video into macroblocks and compare each of the
macroblocks with a macroblock of corresponding frame. Calculation of motion estimation is done then
feature extraction of one error frames and feature extraction error free frame is done. Subtraction of
features between those error and error free frame determines error in that video. Matrix of ‘macro-
blocks’ that are compared with corresponding block and its adjacent neighbors in the previous frame and
error concealment is achieved.
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Adaptive Thresholding For Target Detection Using Ordered Statistical
Methods
Snehal Hiwase, Prof. V.A.Kulkarni
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
In radar system, constant false alarm rate (CFAR) is algorithm used to detect target when the return
signal consist of noise, clutter and interference.Constant false alarm rate (CFAR) is a property
of threshold or gain control devices that maintain an approximately constant rate of false target
detections.“Cell average―(CA-CFAR) performance degraded in presence of interfering target or
change in background clutter noise. “ Greatest Of ―(GO-CFAR) has been designed to control false
alarms during reverberation edges or clutter power transition fails to detect closely spaced targets.
“Smallest Of ―(SO-CFAR) perform well in the presence of multiple targets. But none of them
perform well in all three background environment such as homogeneous , reverberation edges and
multiple target.“Variability Index― (VI-CFAR) composed of CA-CFAR, SO-CFAR and GO-CFAR
preform well in presence of homogeneous, reverberation edges and multiple target environment
respectively.
Mathematical modelling, Simulation and Implementation of Compensator for
dynamical system
Saroja Chavan, Prof.A.B.Patil
PIMPRY CHINCHWAD COE, PUNE [033]
ABSTRACT
As the technology is growing the new applications are coming out which need both speed as well as
position control for better and efficient performance. Brushless DC motor find an various applications in
control system due to its advantages over conventional DC motor. But there are different problems in
work operation due to fast dynamics and instability. Therefore in dynamical system, controller plays an
important role to achieve stability and to get desired results. To meet this requirement, the response of
brushless dc drive system need to be improved. The performance of the typical brushless drive system
found to be sluggish. So it is necessary to improve the performance of such system to expected level as
this system find an application in most of the guided missiles with movable control surfaces or fins. To
overcome the shortcomings of conventional method, this system gives compensator design used to
improve steady state response and transient response of the system to accommodate required application.
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BRIDGE HEALTHMONITORING SYSTEM USING ARM AND GSM
Shaikh Saddamhusen S, Prof. A.H. Ansari
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Structures, including pipelines, aircraft, ships and civilinfrastructures, such as bridges, buildings, dams,
among others,are major parts of society’s economic and industrial success.Bridges are one of the critical
cross points of a country’stransport network but they are expensive to build and maintain.It is basically
imperative to keep connect harms from regular debacles, for example, hurricane surge, seismic tremor,
and so on. As needs be, the consideration on water powered brought about scaffold disappointment has
been gotten because of scour issues. In any case, in-situ connect scour observing is still one of the rough
works for analysts in their field applications. It is important to guarantee that the scaffold checking
framework under normal fiascos can work well. By sending cautioning signals, the ongoing data can give
designers to settle on right choice and take fitting activities in time while the extension harm happens.
This review connected the inventive scour observing procedures which have been outlined and created in
the research facility, and can be introduced and tried in the field.
Performance Optimization of VEDIC Multipliers using Reversible Gate With
proposed BCD Addition Algorithm
Pokale Pallavi D., Turakane Satish M.
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Knowing the growing attractiveness and huge acceptance decimal computer arithmetic in medical,
technological, methodical, commercial, financial and internet based applications, hardware realization of
decimal arithmetic algorithms is attaining more importance. Hardware decimal arithmetic models now
provide as a fundamental element of some recently commercialized general purpose processors, where
intricate decimal arithmetic procedures, such as multiplication, have been realized by somewhat poor
speed iterative hardware algorithms. However, with the fast advances in very large scale integration
(VLSI) technology, semi- and completely parallel hardware decimal multiplication models are anticipated
to develop soon. Vedic multiplier is one particular encouraging solution. Its simple structures in
conjunction with increased speed varieties an unparalleled blend for serving any complicated
multiplication computations. Observing these, applying this with reversible logic further reduces
dissipation of power as well as area. Also using pre-correction technique before final result of
multiplication, increases speed further. This paper presents Vedic multiplication technique known as
“Urdhva-Tiryagbyham― meaning (vertically and crosswise).Technique is implemented using
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reversible gate and preprocessing correction BCD addition algorithm. This result is compared with
previous various BCD multipliers.
Performance Optimization of Counter Using Pulsed Latches
Bobade Pranjali S., Turakane Satish M.
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Paper proposes a ring counter using pulsed latches to increase performance parameter of previous ring
counter. To reduce area flip flops are replaced by pulsed latches. A latch keeps checking its inputs and
changes its outputs respectively. The latches are only sending and receiving the data if switch is on.
Pulsed latches are smaller than flip flops, therefore they requires small area thereby in many applications
latches are used in place of flip-flops. Number of flip-flops connected in series for design a counter.
Counters are a very popularly used component in digital circuits. Counters can be built very easily using
register type circuits such as the flip-flop. A ring counter is a type of counter devised of a type of circular
shift register. The output of the last shift register is given to the input of the first register. In counter
design area reduced by replacing flip flop with pulsed latches.
Intelligent Office Area Monitoring and Control System Using Voice
Commands, Android Mobile Phone and IoT
Aparna S. Kapare, Prof.S.A.Shaikh
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Today the technology is getting enhanced so as to improve routine work. The life is getting automated for
the simplicity, security, saving electricity and time. The proposed system of office automation includes
central control of electrical appliances and its monitoring using android application and IoT.The
connection between the controller and the smartphone is established via Bluetooth, a wireless technology
used for sharing information. The intelligent office is referred to as a wireless automation system that can
be supposed to be executed in existing office area environments, without making any changes in the
infrastructure. The proposed system is envisioned to control and monitor electrical appliances using a
smartphone via Bluetooth as communication protocol and also raspberry pi as server system. It employs
IoT technology that uses computers or mobile devices to control basic office functions and features
automatically through internet. It is easy to communicate, manage and control without human
interferences.
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Drip Irrigation monitoring using wireless sensors for different field
Vrushali Gite,, Prof. S.G. Galande
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
In agriculture field, there is necessity of automated water management system to make effective
utilization of water resources due to lack of rainfall. This paper presents the drip irrigation system using
wireless sensor with wireless RF module for different fields. The proposed system includes soil moisture
sensor, pressure sensor , temperature sensor , level sensor and wireless RF module for irrigation
operation. The sensor nodes collect information such as water content, temperature, water level data etc is
transmitted to controlling unit through wireless RF communication module. Also, we use pressure sensor
in the case where a system do not work correctly, as when the pipes burst or the emitters block. The
system monitors and displays all parameters information time to time on LCD screen. The proposed
system has ability to monitor large agricultural fields.
Ecludian Distance based Partial Face Recognition
Mr. Aher Pravin D., Prof. S.G. Galande
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Various approaches have been proposed to recognize complete faces. However, few have dealt with the
problem of recognizing an arbitrary partial face. In real-world scenarios, human faces might easily be
occluded by other objects. This made traditional face recognition algorithms, which heavily rely on face
alignment and face normalization, infeasible. In this paper, we propose a partial face recognition approach
based on feature set matching, which is able to align partial face patches to gallery faces automatically
and is robust to occlusions as well as illumination changes.Then, we propose arobust point set matching
method to discriminatively match thesetwo extracted local feature sets, where both the textural
informationand geometrical information of local features are explicitlyused for matching simultaneously.
Finally, the similarity of two faces is been extracted and distance is been calculated based on Euclidian
distance formula.
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Intelligent Robotic Disease Detection in agriculture system Using Raspberry
Pi
Mr.Prakash S. Jadhav, Prof.S.G. Galande
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
In agricultural field is modifying echonomical and social environment.Many of the farmers , agro help
center use the various advance technology to increases the agriculture production.
Plants are most important source of power or energy of human. There are various diseases that
effects on plants with the likely to cause socially &echonomically losses. India is agriculture country
where in about 65% population depends on agriculture. It must be noted that agriculture alone constitute
almost 22% of Gross Domestic product (GDP). Even though agriculture is of great importance, there are
various challenges face by farmer. Out of these the important problem are losses in agriculture product
due to disease on crop and in proper management of pesticides.The above problem of losses of crop due
to various diseases can be solved by disease detection technique . This technique can be implemented by
designing “Agri-Robo―. With the help of these agri-robo farmer are able to continuous monitoring
of crop by controlling these 1 with the help of PC.
The Agri-robo automatically detect the disease on crop and after detection of disease, it spray the
corresponding pesticides in necessary amount and avoid the overdose of pesticides.Agriculture is very
labor intensive field and only field where the robots are not involved. Now-a- days many industries are
trying to reduce this human labor by making robots and machines. Here we are designing a autonomous
intelligent robot which indicates the plant health by observing the color of their leaves. The robot has also
pesticide spraying mechanism it will spray the plants according to their needs
NATURAL DISASTERS ALERT SYSTEM USING WIRELESS SENSOR
NETWORK
Mr. Yogesh B. Thete, Prof.S.G. Galande
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Wireless Sensornetworks (WSN) provide to access sensors, controls, distributed network, and embedded
processors in palliation,appliances or equipment, and surrounding. The sensor network provided new
applications in area such as environment, industrial purpose and health care, for monitoring and control
for determination of safety and security.WSN technology is useful to provide effective or intented
solution natural disaster management. The current systems for TWS are bulky, very costly and difficult
to maintain.A Embedded controlled wireless sensor network is used for monitoring the impact of
earthquake and tsunami damage.The sensor nodes are custom-developed float sensors and acceleration
sensors and a low power readout ASIC circuit for a long life.The accelerometers are mostlyuseful for
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measures the seismic response of an earthquake.They detect vibrations during an earthquake event and
send data to remotebase station where multiple sensors data across the town is collected. TheRF(Radio
Frequency) module provide less powernetwork architecture is implemented onto an 802.15.4.
Implementing Smart City Concept With Various Application Using IoT Based
Technique
Suvarna Sonawane, Prof.S.A.Shaikh,
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Nowadays, population is increasing rapidly, which results in lack of public awareness of hygienic
environment. This has been creating a health issues all over the world .The world is increasingly getting
smarter and looking for secure, intelligent and smart solutions of resource optimization to improve quality
of life. This necessity has led to the development of smart and safe cities connecting the virtual world to
the physical, delivering real-time services that adapt to real-time situations based on IoT technology.
Internet of Things defined "the infrastructure of the information society". This system uses various
sensors for monitoring of infrastructural facility in a city. This sensor connected ATmega16
microcontroller using wireless communication technique. Controller collect the information from sensors
transfer to the servers through Zigbee module, SMS will be send to control room, it will indicate on GUI.
By monitoring proper management of waste materials, water and electric resource to maintain healthy
environment and better economy.
Design And Analysis Of 1-Bit Full Adder And Logic Gates
M.K.Musale, Prof. S.M.Turkane
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
The scaling of Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) are commonly used in
high speed integrated circuits, yield smaller and faster more functions at lower cost. Various problems
exist with scaling of MOSFET devices i.e. short channel effects (SCE), drain induced barrier lowering,
velocity saturation which limits the performance of MOSFETs. Scaling limitations of MOSFET devices
leads to lower ON to OFF current ratio limited by 60mV/dec sub threshold slope. A new type of device
called “Tunnel FET― is used to overcome these difficulties. TFET can beat 60mV/dec sub-threshold
swing of MOSFETs. In Tunnel FET the carrier are generated by band-to-band tunneling and OFF current
is low. Tunnel FET have energy barrier in OFF state, which avoids application where leakage is concern
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of interest. In this Project sub-threshold swing and low OFF current is simulated and its power is
analyzed. Basically in VLSI circuit like design of IC we have to simulate all the parameters of the devices
& circuit regarding of that IC or any devices like FET, MOSFET, CMOS etc. In device simulation we are
most widely use software named as “HSPICE―. We are doing analysis of full bit adder. We are
going to compare different characteristics.
Co-operative Eigenvalue Based Spectrum Sensing in Cognitive Radio by using
Bayesian Approach
B.A.Pangavhane, Prof.A.H.Ansari
PRAVARA EDU SOCIETY, PRAVARANAGAR [011]
ABSTRACT
Unused portions of allocated fixed spectrum are called spectrum holes or white spaces. These spectrum
holes or white spacesare used by cognitive radio technology in an opportunistic manner. It will solve the
global problem of spectrum scarcity. Cognitive radioassigns spectrum or radio resources in a manner to
keep interference between CR devices and licensed users within limit. The scope ofthis paper is to
achieve higher spectrum utilization in cognitive radio networks, using an optimal Bayesian Detector. If
the primary useris highly inactive and the primary signals are digitally modulated, we will derive the
optimal detector structure. And further suboptimal detectors in high and low Signal to Noise Ratio
scenario. The Bayesian Detector has better performance than the Energy Detector in high signal to noise
ratio and same performance as ED in low SNR for spectrum utilization. We provide false alarm
probability and Detection probability analysis
Multiframe Super Resolution in Image Processing
Pallavi Balkrishna Kulkarni, Prof. B.S.Patil
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Super Resolution is evolving technique in image processing domain which constructs high resolution
image from one or many input frames of low resolution. Its usage is increasing widely in post image
analysis. Information obtained from a set of low resolution images is used by Multi-frame super
resolution and high resolution image is constructed. It aims at estimating the originally absent high
resolution factor from given low resolution images. Algorithms used in Multi frame super resolution
frequently use a linear observation model and build a relation between input Low Resolution images and
to be reconstructed HR image. This paper proposes ways to improve the quality of the output high
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resolution image using regularization factors which will help in sharpening the edges and managing the
smooth regions using bilateral total variation which is locally adapted and consistency of gradients. The
combination of proposed regularization provides superior results as seen in experimental results.
E- NOSE SYSTEM USING ARTIFICIAL NEURAL NETWORKS (ANN) TO
DETECT POLLUTANT GASES
Shriram Gurunath Gadre, Dr. S. D. Joshi
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
In electronic nose multiple sensors are integrated to form a sensor array inn order to differentiate multiple
odor with the help of constant sensor heating voltage. In this project e-nose system is use to recognize and
analyze pollutant gases using artificial neural network algorithm. This is real time system in which
sensing node is monitoring the real time pollutant gases which will be wirelessly transmitted to parent
node to recognize and generate real time graph. Artificial neural network algorithm is consider to put
intelligence in system while recognizing pollutant gases in real time. Gases like methanol, LPG, ammonia
are pollutant gases and can harm environment and human body. This system will help to recognize the
pollutant gases in real time.
Lossless records trouncing for image based on reversible mapping transform
Komal Sunil Barde, Prof P.V.Mulmule
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Data hiding is still an important research topic due to the design complexities involved. Steganography is
the technique of hiding confidential information within any media. Steganography is often confused with
cryptography because the two are similar in the way that they both are used to protect confidential
information. But because of loss in quality of original image we propose a Reversible Contrast Mapping
(RCM) is a simple integer transform that applies to pairs of pixels. For some pairs of pixels, RCM is
invertible, even if the least significant bits (LSBs) of the transformed pixels are lost. The data space
occupied by the LSBs is suitable for data hiding. The embedded information bit-rates of the proposed
spatial domain reversible watermarking scheme are close to the highest bit-rates reported so far. The
scheme does not need additional data compression, and, in terms of mathematical complexity, it appears
to be the lowest complexity one proposed up to now.
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A Decision Tree Based Denoising Method for Removal of Impulse Noise in
Image Processing.
Swapna Bhapkar, Prof.Babasaheb Pawar
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
A Decision Tree Based Denoising Method for Removal of Impulse Noise in Image Processing.
Swapna Bhapkar
Department of E & TC Engineering, PVPIT, Bavdhan, Pune, Maharashtra, India
Abstract- The noise in images are added during image transmission. Images are corrupted because they
are transmitting through channels. Noise influences the image quality. It causes images to be blurred at
receiver side. Therefore it is necessary to removal the noise from images. This paper uses a decision
method for noise reduction. In addition to this adaptive method are also used such as median filter,
adaptive median filter. Noise detector and filter is main parts in this method. The performance of any
filter which is used for noise is dependent on the detection technique. Hence decision tree has detector
which detects noise in pixels and edge preserving filter to reconstruct intensity values of noisy pixel.
PSNR is calculated to check the quality of reconstructed image. So result obtain from this method are
suitable for removal of impulse noise.
Keywords—Impulse noise, detector, edge preserving filter.
Video Stabilization Technique And Performance Assesment
Snehal Joshi, Prof. S.M. Kulkarni
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Abstract
“Video Stabilization Technique and Performance Assessment―
Snehal Joshi
VLSI and EMBEDDED SYSTEM
PVPIT, BAVDHAN, PUNE, INDIA
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Abstract— The objective of video stabilization is to remove the unwanted camera motion and obtain
stable versions. In this paper we present video stabilization algorithm by using only L1 optimization
method and mixed L1-L2 optimization method. After applying both methods we compared results of both
method. Mixed L1-L2 optimization algorithm used for removing unwanted camera movements as well as
keeping original video information at greatest extent.
Keywords—video stabilization, mixed L1-L2 optimization
Carrier Aggrigation for LTE-A
More Anuradha Kiran, Anil Walke
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Carrier Aggregation for LTE-A
Anuradha More
E & TC Department
SavitribaiPhule Pune University
Pune India
Anil Walke
Abstract—To satisfy requirement of data rate up to 1 Gb/s peak e in future Advanced mobile systems,
carrier aggregation technology is introduced by the 3GPP to support very-high-data-rate transmissions
over wide frequency bandwidths (e.g., up to 100 MHz) in its new LTE-Advanced standards. It is one the
key feature of LTE-A.It allow user equipment’s (UEs) to simultaneously aggregate multiple component
carriers (CCs).The Bandwidth of the system may contiguous or non contiguous . In the CA many time we
face the problem for downlink transmission for the component carrier assignment & packet scheduling.
The throughput can be fairly increased by using the greedy based scheme
Interference control and radio resource management in femtocell
Rajesh Zagade, Anil Walke
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
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Abstract
Embedding pico/femto base-stations and relay nodes in a macro-cellular network is a promising method
for achieving substantial gains in coverage and capacity compared to macro only networks. These new
types of base-stations can operate on the same wireless channel as the macro-cellular network, providing
higher spatial reuse via cell splitting. However, these base-stations are deployed in an unplanned manner,
can have very different transmit powers, and may not have traffic aggregation among many users. This
could potentially result in much higher interference magnitude and variability. Hence, such deployments
require the use of innovative cell association and inter-cell interference coordination techniques in order
to realize the promised capacity and coverage gains. In this project, we describe new paradigms for design
and operation of such heterogeneous cellular networks. Specifically, we focus on cell splitting, range
expansion, semi-static resource negotiation on third-party backhaul connections, and fast dynamic
interference management for QoS via over-the-air signalling. Notably, our methodologies and algorithms
are simple, lightweight, and incur extremely low overhead. Numerical studies show that they provide
large gains over currently used methods for cellular networks.Femtocell self-organization including self-
configuration and self-optimization is proposed to manage the large femtocell networks. We formulate the
optimization problem for PRB assignments where multiple QoS classes for different services can be
supported, and interference between femtocells can be completely avoided. The proposed formulation
pursues the maximization of PRB efficiency. A greedy algorithm is developed to solve the resource
allocation formulation. In the simulations, the proposed approach is observed to increase the system
throughput by over 13% without femtocell interference.
However, major concern with respect to the Femto deployment is its resource allocations along with
Marco and mobility of Home evolved NodeB (HeNodeB) at the building premises. In this paper, we
formulate the resource allocation problem as a utility optimization and develop a distributed algorithm for
joint power control and user scheduling.
License Plate Detection and Recognition
Smrati Kankane, Prof. A. S. Patil
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
License Plate Detection and Recognition
ABSTRACT
SMRATI KANKANE
PVPIT, Electronics & telecommunication Department
Automatic License Plate Recognition (LPR) is a technique involving image processing which is used to
identify a vehicle by reading its license plate. In our project we propose a system which is capable of
extracting the license plate region from the vehicle's image taken from its rear end. The system consists of
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a digital camera, software to interface the camera with the software module and the software module
which extracts and recognizes the license plate number. The camera captures the image of pre-defined
resolution and passes it to the software module. The software module forms the heart of the entire system.
It analyzes the input image, identifies the location of the license plate, segments the characters on it and
recognizes the characters. The plate region is extracted by using different methods like VEDA with
morphological approach, MSER , SIFT approach etc. The characters in the license plate were segmented
using digital image labeling and character recognition was done using template matching. The algorithm
was implemented in MATLAB and the results obtained agreed with theoretical predictions.
Keywords -License Plate Recognition, LPR, morphological operation, number plate extraction, VEDA,
ULEA, MSER , SIFT, character segmentation.
Text Recognition by using svm classifier
Priyanka Y. Patil, S. I. Nipanikar
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Abstract — Generally the images captured by Camera has many different shapes, sizes, colors, text, non-
text etc regions which very complex the Camera-based scene images usually have background which is
very complex. The existing system is very sensitive to font scale changes and background interference
with low accuracy. The most important aim of this system is based on character recognition method.
Separating text or characters from captured scene images or videos is a very difficult task because of
different text styles, fonts, patterns and variable background image interferences. We are proposing in this
paper that a process of natural scene text recognition from selected text regions from a natural image. In
text detection, we detect text from any natural image by using MSER (Maximally Stable Extremal
Region) algorithm. MSER contains the text region from an image; for text recognition and the proposed
system uses character descriptor which is very effective in extracting image. The local features descriptor
HOG is suitable and compatible with all main points’ detectors from interested region. Our method of text
recognition from detected text regions is very compatible with an application of mobile devices. The
demo system which developed is completely based on Android operating system. The Proposed system
exactly extracts text from any natural scene image with background interference. The demo system gives
us details of algorithm design and performance improvements of scene text extraction.
VHDL based convolution encoder using vedic mathematics and veterbi
decoder
Prathamesh Arun Lendghar, Prof N.N.Thune
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PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Abstract—As in mathematics, multiplication is the most commonly used operation. An ancient vedic
sutra named ‘urdhav triyagbhyam’ is used for multiplication which gives a difference in actual process
of multiplication itself. It enables parallel generation of partial products and eliminates unwanted
multiplication steps. This paper presents the design of convolution encoder using vedic mathematics and
Viterbi decoder using parallel processing. The coding follows a fast multiplication process and achieves a
less computational complexity over its conventional multiplier resulting in less number of devices
utilization. Convolution encoding with Viterbi decoding is a good forward error correction technique
suitable for channels affected by noise degradation. The simulation and synthesis of proposed design are
done through XILINX 14.2i ISE simulator tool and coding is in verilog with Spartan 3A as the target
FPGA.
Keywords—Convolution encoder, Vedic mathematics, Urdhav triyagbhyam, Viterbi decoder.
Finger-Braille Interface For Navigation Of Bilnd People In All Over Barrier
Free Space
Amol Anil Supekar, Prof.V. M. Joshi
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Abstract— This paper discusses the development of Finger Braille interface for navigation of blind
people in all over barrier free space. Blind people can use several methods of communication. Finger
Braille is one of tactual communication media of blind people. In this index finger, middle finger and ring
finger of both hands are placed on keys of a Braille typewriter. A sender dots Braille code on the fingers
of a receiver like whether he does the type of the Braille typewriter. Then the receiver recognizes the
Braille code. Because there are small non-disabled people who are skilled in Finger Braille, blind people
communicate only with interpreters. In this project, a Finger Braille interface System with its design,
implementation and audio support system are presented for navigation of Blind people. A prototype
capable of deploying physically Braille characters is developed. Device is connected to a wearable
computer, so that Blind people can use it in their daily life. In order to support the wearable computers
equipped with the Finger-Braille device and audio support, a ubiquitous prototype environment is
designed and developed. This environment consists of wireless networks, floor-embedded active Radio
Frequency Identification tags (RFID), audio support etc. In the environment, blind people can be guided
through Finger-Braille device which will output location based information obtain from various wireless
nodes. Blind people depend on information and feedback means, about what is around them. Hence it is
difficult for these people to access information, if they don’t get the right support.
Keywords— Finger Braille; Blind; wearable computer; Radio Frequency Identification;
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FPGA IMPLEMENTATION OF HIGH THROUGHPUT SUPERSCALAR
RISC PROCESSOR
Yogesh Gopal Torvi, Prof.V. M. Joshi
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
A superscalar processor is a type of processor having a parallel processing architecture, integrated a single
processor. It provides usgreater throughput (instructionsper unit of time). This paper proposes a
superscalar RISC processor based on DLX architecture, which would combine the individual architectural
concepts of superscalar RISC processor and DLX architecture, to deliver a high throughput processor.The
plan is to implement the superscalar RISC DLX processor architecture using Verilog Hardware
Description language (HDL) and target the Xilinx Field Programmable Gate Array (FPGA). The
superscalar processor would be implemented as a standalone IP core on the FPGA.[3][9][15][16]
Keywords - RISC, DLX, Superscalar, Verilog, FPGA, High Throughput
A Novel Approach for Contrast Enhancement-Based Forensics in Digital
Images
Kalyani Ravindra Chintawar, Prof. N. N. Thune
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
The contrast enhancement technique is specifically used to adjust the global brightness and contrast of
images. Malicious users may perform local contrast enhancement for creating realistic composite images.
In project, novel Approach for Contrast Enhancement Detection is used to detect the contrast
enhancement in the images for verifying the originality and authenticity of the images. The new
methodology involves two novel algorithms to detect the manipulations of contrast enhancement in
digital images. One of the algorithms focuses on the detection of global contrast enhancement applied to
the JPEG-compressed images, as these are widespread in real applications. The histogram artifacts
incurred by the JPEG compression and also the pixel value mappings are analyzed theoretically and then
distinguished by identifying the zero-height gap bins. Another algorithm helps to identify the composite
image which is made by enforcing contrast adjustment on either single source region or both source
regions. Then the positions of detected block wise peak/gap bins are clustered to recognize the contrast
enhancement mappings which are applied to different source regions. At last, the consistency between
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regional artifacts is checked for discovering the image forgeries and also for locating the composition
boundary. Matlab tool is used for evaluating the performance of these two algorithms on various images.
The extensive experiment also verified the effectiveness and efficacy of the new methodology.
An Efficient Data Hiding in Digital Color Image by Sparse Representation
More Pratibha Mohanrao, Prof.R.S.Nipanikar
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Abstract-Steganography is one form of cryptography where we hide data within images. Reversible data
hiding is a form of steganography in which we hide data within images, audio, video form. In reversible
data hiding the original cover can be recovered without loss after the embedded messages are extracted.
The project proposes the improvement of security system for secret data communication through multi
plane image data embedding in Color images or gray-scale images. A given input image is converted to
any one plane of RGB color image. After completion of plane separation, the data hider will hide the
secret data into the image pixels. The data hiding technique uses the LSB algorithm for hiding the secret
message bits into the input cover image. In the data extraction, the secret data will be extracted by using
relevant key for choosing the image pixels STEGO image to get the information about the data. Finally
the performance of this proposal in Color Image and data hiding will be analyzed based on image and
data. This paper presents a result of LSB method with sparse representation and chaos algorithm.
Keywords: RDH, LSB, chaos algorithm
Implementation of MATLAB Based Smart Grid Sysyem using Prims
Algorithm
Ashok Dattatray Patil, Mr. Nipanikar S. I.
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
The MATLAB based self-healing grid system using Prims algorithm is proposed to be used in developing
countries like India, Bangladesh, Pakistan where there is no availability of automatic switchover of
electricity user node when electricity link failure is occurred. This causes the labor inefficiencies due to
power failure in industrial area and minor load shading problem in residential area.To handle such type of
situation some practices had been taken into account to minimize the effect of grid failing.To overcome
this problem of grid failing, here we proposed one system algorithm which basically works on the
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principle of redistributing the power flow of contingency transmission line to other lines with Flow
Control Relay. To implement the control strategy, The Minimum Spanning tree network and Prims
analysis method instead of the iteration algorithm and optimization method, is applied to redistribute the
power flow.The MATLAB is used to support in simulation and Prims algorithm used to handle the
overall performance and the recovery time of the system.
Embedded PLC bASED Industrial Automaton Process with Augmented
SCADA technology
Amitrao Subhash Patil, Dr. S. D. Joshi
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
Automation is basic delegation of control function for human to technical gazettes. It is the use of control
systems such as Microcontrollers, PLCs, computers to control machine and processes to reduce the need
for human sensory and mental requirements as well. This paper concentrates on an intelligent and
innovative control and monitoring system for color combination generation Plant by using "Raspberry Pi"
as an effective option to PLCs for the automation of color generation plants. However, we are going to
implement the same process for the all type of the industrial process that are going in the automation
industries only considering parameter are going to change so we have the mode selection for the different
type the process. We have the better result than the ordinary human eye. This work is going to be Product
implement for the different Process industries or quality testing department for the manufacturing
industry.
Implementation of the Agumented Reality Based Human Interaction Robot
for the Industry
Jayant Ravindra Memane, Mr. Walke A. V.
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
In this paper a concept and its implementation of Augmented Reality based human interaction robot
system for supporting human workers at industrial environments and for institutes is introduced. Different
aspects of Augmented Reality were analyzed and evaluated with respect to industrial requirements:
tracking methods, interaction devices, accuracy, cost etc.
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This proposed method supported to the embedded solution with the help of image processing and
augmented reality where real life interaction is possible. Quality is busted by using simultaneously taking
frame and applying image processing and AR algorithm for that frame and gets result as the quality of the
AR process.
Host Based Card Emulation Implementation on Android Smart Phone
Dhanashri Manohar Shinde, Prof.V. M. Joshi
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
With the evolution of smart phones, we see that more and more manufacturers are moving toward Radio
Frequency capabilities. One such technology is Near Field Communication i.e. NFC. This is based on
RFID. In the modern world, we see the need of carrying multiple smart cards with us. The smart cards are
used for payment, security access purposes. With Android OS version 4.4 (KitKat) and above, Host
Based Card Emulation Mode is supported. We can emulate the Smartphone as card. This eliminates the
need of carrying multiple smartcards as a single Smartphone can emulate multiple cards.
This paper talks about analysis and implementation of NFC Reader as well as NFC Smart card with Host
based card emulation. Host based card emulation eliminates the need for physical Secure Element in the
hardware. The secure data is maintained in the application itself.
With Host Based card cost for Secure Element can be reduced but on the other hand more security
considerations shall be taken into account.
IOT based smart grid to remotely monitor & control Renewable energy
source
Priyanka Bhausaheb Deshmukh, Prof.H.N.Patil
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
The customer domain of the smart grid naturally blends with smart home and smart building systems, but
typical proposed approaches are “distributor-centric� rather than “customer-centric,―
undermining user acceptance, and are often poorly scalable. To solve this problem, we propose a detailed
architecture and an implementation of a “last-meter� smart grid—the portion of the smart grid on
customer premises—embedded in an internet-of-things (IoT) platform. Web of Things is a new
information processing and acquisition method, that is been widely used in
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intelligent transportation, environmental monitoring and other fields. The WoT is an important technical
mean to the development of smart grid and security smart grid. WoT technology can effectively combine
the infrastructure resources in increase the level of power system information, and improve the utilization
efficiency of infrastructures in the existing power system. The urgency of its applications in smart grid are
pointed out by concept of smart grid and WoT are described. The construction of smart grid which is
based on Web of things are made, and implementation in typical application including Solar power
prediction, condition monitoring of overhead transmission lines, power monitoring, smart home and asset
management.
SPARSE REPRESENTATION BASED STEGANOGRAPHY FOR SPEECH
SIGNAL
Nikita Sunil Kulkarni, Prof. S I Nipanikar
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
With the rapid growth in interactive media environment, the security of highly confidential data is at
stake, which makes the security itself a major concern. High security of the data can be achieved by
steganography, the art and science of secret communication, where the secret message is hidden under a
cover message so that it seems as if there is no existence of the secret message. Image steganography uses
image as the cover for hiding secrete data as a speech. The best location for embedding on the cover can
be helpful in achieving the major objectives of steganography such as high security and imperceptibility.
The proposed method uses cost function which calculates edge, entropy and intensity, helps to find the
better location for embedding. The sparse representation is applied on the speech signal. When checked
for PSNR and MSE, PSNR of the proposed method is found to be high and MSE is found to be as low as
0.00.
TECHNIQUES OF VIDEO STABILIZATION
Reshma Mohan Waghmare, Prof. S. M. Kulkarni
PVPIT, BAVDHAN, PUNE [048]
ABSTRACT
This paper describes the Video Stabilization also a new approach to low level image processing, in
particular edge and corner detection. In the last decade utilization of handheld video cameras have
become quite popular however the videos captured by unprofessional users or by fixed and vehicle
mounted cameras have resulted in shaky and unclear videos. In this work we aim to use a video
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stabilization algorithm using point feature matching technique to reduce the vibrations in acquired video
sequences. The paper presents motion estimation techniques, motion models, feature detection
techniques, robust sampling consensus and mainly the RANSAC paradigm. Implementation of the feature
points matching based stabilization algorithm was done using the MATLAB platform and applied to three
different videos with jitter.
Spectrum Sensing Optimization by Sensing Threshold and Duration for
Cognitive Radio Networks
Vinayak Rajendra Barbole, Anant More
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
The spectrum sensing problem is one of the challenging issues in cognitive radio systems. In this paper,
Spectrum Sensing Optimization of cognitive radio networks by joint optimization of sensing Threshold
and Duration is presented. High network utilization by secondary users can be achieved with fast and
reliable spectrum sensing. Maximizing Throughput for secondary users by considering both parameter
variable to sensing 1.Sensing Threshold and 2.Sensing Duration. Joint optimization can be achieved by
two performance criteria minimizing time for detection of spectrum hole and Joint optimization of the
opportunistic throughput.
OVERVIEW OF ARTERY AND VEIN CLASSIFICATION IN RETINAL
IMAGES USING GRAPH BASED APPROACH
Ritesh Rajshekhar Khatakalle, Prof. R. U. Shekokar
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
To investigate whether retinal vessel caliber measurements on optical retinal Photography are
affected by light and dark exposure prior to photography. Whether the vessel caliber changes
during an imaging sequence ,Digital optical retinal photographs which is obtained from 32
healthy Adults in two separate image sequences of six images during 1 min; one sequence with
of dark exposure and one with of light exposure for 10 min each of prior to imaging. Retinal
arteriolar and venular calibers were measured computer-assisted and summarized as central
retinal artery and vein equivalents (CRAE and CRVE).from that Outcome measures were
difference in calibers after prior light versus prior dark exposure also difference in calibre during
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each of the two imaging sequences. We also present a 3D reconstruction of retinal blood vessel
trees using two views of fundus images.
Bayesian Approach For Spectrum Sensing In Cognitive Radio
Pravin Baburao Kamble, Anant More
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Cognitive radio (CR) is one of the best concept for increasing the utilization of spectrum. With previous
knowledge that the primary user is idle and primary signals are digitally modulated, we discussed
Bayesian approach for maximum spectrum utilization. We described optimal detector structure for MPSK
modulated primary signal. We also described its suboptimal detector in both low and high SNR regime.
Through approximations, in low SNR regime, for MPSK signals, the suboptimal detector is that the
energy detector as well as for BPSK signals, the suboptimal detector is that the energy detector on the real
part. In high SNR regime, for BPSK signals, the test statistic is that the sum of signal magnitudes,
however uses the real part of the phase-shifted signals as the input. The performance analysis of the
suboptimal detector in terms of probabilities of detection, false alarm, selection of detection threshold and
number of samples.
IPsec the Realm for Secure Communication in Internet of Things
Aishwarya Ashok Akul, Prof. Mrs. Snehal Bhosale
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Internet of Things (IoT) provides many services in Industrial, Medical, commercial areas etc. Therefore,
implementing secured communication in the IoT is essential among many other issues. An IPv6 network
interconnects multiple computers and a large number of smart devices. IPsec is secured network therefore
it is reasonable to explore the option of using IPsec as a security mechanism for the IoT. Smart devices
are generally added to the Internet using IPv6 over Low-power Wireless Personal Area Networks
(6LoWPAN). Therefore, to provide security for the IoT IPsec mechanism and IPsec extension of
6LoWPAN is important.
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IMPROVEMENT IN KEY MANAGEMENT SYSTEM USING ECC
Sanket Dilip Patil, Prof. Mrs. Snehal Bhosale
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
In recent years, wireless sensor networks (WSNs) have been deployed for a wide variety of applications,
including military sensing and tracking, patient status monitoring, traffic flow monitoring, where sensory
devices often move between different locations. Securing data and communications requires suitable
encryption key protocols.Dynamic wireless sensor networks (WSNs), which enablemobility of sensor
nodes, facilitate wider network coverage and more accurate service than static WSNs. Therefore, dynamic
WSNs are being rapidly adopted in monitoring applications, such as target tracking in battlefield
surveillance, healthcare systems, traffic flow and vehicle status monitoring, dairy cattle health monitoring
In this paper, we propose a certificateless effective key management protocol (CL-EKM) for secure
communication in dynamic wireless sensor networks characterized by node mobility. CL-EKM supports
efficient key updates when a node leaves or joins a cluster and ensures forward and backward key
secrecy. The protocol also supports efficient key revocation for compromised nodes and minimizes the
impact of a node compromise on the security of other communication links. A security analysis of our
scheme shows that our protocol is effective in defending against various attacks. We implement CL-EKM
in windows and simulate it using self designedjava simulator to assess its time, energy, communication
and memory performance.
Aquatic Debris Monitoring & Detection using Raspberry Pi based
‘AQUABOT’
Prajakta Ghorpade, R. Shekokar
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Monitoring aquatic debris is of great interest to the ecosystems, marine life, human health, and water
transport. This paper presents the design and implementation of AQUABOT - a vision-based surveillance
robot system
that integrates raspberry pi, robotic fish model along with camera and other sensors for debris monitoring
in relatively
calm waters. AQUABOT features real-time debris detection and coverage-based rotation scheduling
algorithms. The
image processing algorithms for debris detection are specifically designed to address the unique
challenges in aquatic
environments. The rotation scheduling algorithm provides effective coverage for sporadic debris arrivals
despite
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camera's limited angular view. In this paper, we focus on the design of debris detection and mobility
scheduling
algorithms running on a single RASP node. The sensing results of multiple nodes can be sent back to a
central server
via the long-range communication interface for fusion and human inspection.
Project Aims are -
1) Develop several lightweight CV algorithms to address the inherent dynamics in aquatic debris
detection, which
include an image registration algorithm for extracting the horizon line above water and using it to register
the images to
mitigate the impact of camera shaking, and an adaptive background subtraction algorithm for reliable
detection of
debris objects.
2) Propose a novel approach to dynamically offloading the compute-intensive CV tasks to the cloud. The
offloading
decisions are made to minimize the system energy consumption based on in situ measurements of
wireless link speed
and robot acceleration.
3) Analyze the coverage for sporadic and uncertain debris arrivals based on geometric models. Using the
analytical
debris arriving probability, we design a robot rotation scheduling algorithm that minimizes the movement
energy
consumption while maintaining a desired level of debris coverage performance.
4) Implement a prototype of AQUABOT and evaluate it through extensive test bed experiments and
trace-driven
simulations. The results show that AQUABOT can accurately detect debris in the presence of various
dynamics and
maintain a satisfactory level of debris arrival coverage while reducing the energy consumption of robot
movement
significantly.
Real implementation on embedded sensing platforms shows that our method is more accurate, and
consumes less
hardware resources than the conventional approaches. Finally, an initial deployment of aquatic sensor
nodes will show that
the proposed method provides robust debris detection performance,& will meet the real-time requirement
on embedded
sensing platforms. Our future work will focus on the implementation of aquatic mobile platforms and
collaboration
schemes between multiple nodes for debris detection.
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6LoWPAN compression extension for HIP header to ensure end-to-end
security in Internet of Things.
Tejas Manohar Mehare, Prof. Mrs. Snehal Bhosale
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
The Internet of Things (IoT) is an emerging and promising paradigm that can be considered as an
extension of the Internet to interconnect all kinds of smart objects around us to provide a pervasive
information access. Wireless sensor networks (WSNs), as a requisite component o the IOT, allow the
representation of the dynamic characteristics of the real world in the Internets virtual world. The maturity
of the Internet of things is arguably related to communications security and end user privacy protection.
The material and technological heterogeneity also the symmetric nature of the communications between
the sensor nodes and internet hosts are making secure is a challenging problem. In this paper we propose
a 6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks) compression for the header of
HIP (Host Identity Protocol) packets as well as security computational load in HIP Base Exchange (HIP-
BEX) to achieve lightweight end-to-end security .
ANALYSIS OF THE POWER AMPLIFIER NONLINEARITY IN CRN
Rushikesh Bhairav Nale, Prof. A. R. More
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
The interference to the primary receiver (PR) is a critical issue in the resource allocation of cognitive
radio (CR) networks. For instance, the nonlinearity of the power amplifier (PA) causes nonlinear
interference to the PRs. This paper studies the power allocation in cognitive radio networks by
considering the nonlinear effects of the PA on the received signal-to- noise ratio (SNR) at the secondary
receiver (SR) and the adjacent channel interference (ACI) to the PRs. A nonlinear PA with limited
dynamic range and a lower limit on the transmit power is assumed for the secondary transmitter (ST). To
control the resulting ACI from the ST to the PRs, the PA needs to be turned off in some fading blocks. To
investigate the throughput, an analytical expression for the probability of data transmission between the
secondary users is derived as a function of the interference temperature limits of the PRs. All analyses are
performed for both peak and average ACI power constraints. Through theoretical analysis and simulation
studies, maximum achievable average SNR at the SR is investigated. Moreover, the throughput
degradation is studied and it is observed that the average ACI power constraints result in the better
performance than the peak ones.
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Feature Extraction and Classification in ECG Biometric Signal
Kalyani Umesh Girde, Mrs Nandini Dhole
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
This Customary biometric recognition frameworks regularly utilize physiological attributes, for example,
unique mark, confront, iris, and so forth. Later a long time have seen a developing enthusiasm for
electrocardiogram (ECG) based biometric acknowledgment procedures, particularly in the field of clinical
prescription. In existing ECG based biometric recognition techniques, feature extraction and classifier
configuration are as a rule performed independently. In this paper, multitask learning approach is
proposed in which highlight extraction and classifier configuration are completed all the while. Weights
are allocated to the features inside the kernel of each task. We break down the network comprising of all
the feature weights into sparse and low rank components. The meagre part decides the highlights that are
important to distinguish every person, and the low rank segment decides the normal component subspace
that is pertinent to distinguish every one of the subjects. The execution of the proposed approach is
shown through tests utilizing the MIT-BIH Normal Sinus Rhythm database.
Iris Based Access System Using Stabilized Iris Encoding and Zernike
Moments Phase Features
Payal Deepak Mahajan, Mrs. Nandini Dhole
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Iris recognition is a technique for biometric identification. Biometric identification gives programmed
acknowledgment of an individual based on the unique feature of physiological characteristics or
behavioral characteristic. Iris acknowledgment is a technique for perceiving a man by examining the iris
design. The standardized area is proposed, which essentially contains the Zernike moment (ZM) phase.
An exact and vigorous estimation of the rotation angle between a pair of normalized regions is then
described and used to measure the comparability between two coordinating areas. Exact iris
acknowledgment from the indirectly gained face or eye pictures requires improvement of powerful
systems, which can represent for significant variations in the segmented iris image quality. This variations
can be highly correlated with the consistency of encoded information and information iris elements that
such delicate bits can be misused to enhance coordinating exactness
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Secret-Besed Encryption Scheme for Smart Gride Wireless Communication
Rashmi Suresh Khamankar, Nandini Dhole
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Security in the smart grid is challenging. Smart Grid is perceived as two way correspondence i.e.
communication technology. There are various communication, intelligent, monitoring and electrical
elements utilized in power matrix that makes it keen. These components consistently creates cum genuine
opportune talks the basic data like observing information, client vitality utilization, network status,
request reaction and so forth among the smart grid devices. So, security attacks on such a system
threatens. The security of smart grid, results in severe consequences. In this paper, the idea of dynamic
secret is applied to design an encryption scheme for smart grid wireless communication. Between two
parties of communication, the previous packets are coded as retransmission sequence, where retransmitted
packet is marked as “1� and the other is marked as “0.�During the communication, the
retransmission succession is produced at both sides to refresh the dynamic encryption key. In our
experiments, a smart grid platform is built, employing the ZigBee protocol for wireless communication.
And a dynamic secret based encryption demo system is designed based on this platform.
Remotely Sensed Image Approximation using Tetrolet Transform
Sonali Shantaram Bandal, Prof. Kalpana Amrutkar
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
On expansion, to the remote detecting image, it is troublesome with secure an extraordinary pitiful
achieve shortages whether it holds an impressive measure about inconspicuous components. Watched the
two issues, a novel blend framework that is about a percentage sweeping statement will be recommended.
The methodology abuses those purposes of enthusiasm of the tensor outcome wavelet change over to
representational from claiming smooth birch pictures and the capability of the tetrolet change on speak to
composition furthermore edge suitably at a similar period. Besides, two specific procedures for not
require help composed, which help growing those essentialness concentrate further what's additionally
protecting the information of the focuses to the extent that conceivable. The arrangement of the suggested
blend framework might be as takes after: to An accommodated remote detecting image, In those normal
tensor thing wavelet change will be utilized, then those overabundance around coterminous wavelet
coefficients is removed. Eventually Tom's examining settling on a polyphase decay should each subband
for a p-fold filter, What's more than a while later that, those nearby estimation of the low repeat picture
cam wood an opportunity to be got by reproducing the people protected coefficients. Second, to the point
by point image, the meagre decay might be passed on insane toward that tetrolet change. For those high
back subbands, an adaptable decay will make accomplished for expanding the vitality amassed.
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Following that, the close estimation of the point by point picture could a chance to be acquired byre
constructing the individual’s safeguarded coefficients.
Adaptive Image Registration Based Nonuniformity Correction Algorithm for
Image Filtration
Shweta Wanmali, Prof. Rajesh Shekokar
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
In this paper, adaptive nonuniformity correction algorithm for image filtration is presented. The basic
function of this method is to eliminate the ghost artifacts. A ghost artifact is produced when refraction of
an ultrasound beam occurs in one part of a scanning plane also image duplication or triplication occurs.
With respect to real time continuous image sequence, we first calculate displacement vectors on the basis
of row and column projections. And then by bidirectional image registration the overlapped area matrices
of two frames are obtained. Then we set the variance threshold to judge the scene classification. After that
the displacement revising taken to decrease stripe noise. This feature based method helps to find
displacement in keypoints instead of intensity. The gain and offset coefficients of the overlapped area is
updated in real time with the image sequence by using the least-mean-square-error iteration algorithm.
The benefits of this calculation lie in its high productivity of picture preparing, low computational many-
sided quality. A clean infrared image sequence and two real infrared datasets with nonuniformity are used
to compare the ability and correction performance of different algorithms. The output of the algorithm
gives the precise output than other methods.
SUPERPIXEL-BASED HAND GESTURE RECOGNITION USING REAL
TIME CAMERA
Ankita P Thakur, Prof. Sachin Magadum
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Hand gesture recognition framework got incredible consideration in the current couple of years in light of
its complexness applications and the capacity to connect with machine productively through human
computer interaction. With the large use of computers Human computer Interaction has become an
important part of our daily life. The hardware devices like keyboard, mouse are used for the Human
Computer Interaction.This paper exhibits another superpixel-based hand gesture recognition system based
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on a novel superpixel earth mover’s distance metric, together with images taken from Kinect depth
camera. The profundity and skeleton data from Kinect are successfully used to deliver marker less hand
extraction. The hand shapes, surfaces and profundities are spoken to as superpixels, which successfully
hold the general shapes of the signals to be perceived. In view of this portrayal, a novel separate metric,
superpixel earth mover’s distance is proposed to quantify the disparity between the hand motions.
human action recognition using spatio temporal & SVM Approach
Upadhye Ketakee Vidyadhar, Mr.Rajesh Shekokar
RMD SINHGAD SCHOOL OF ENGINEERING [102]
ABSTRACT
Local space-time features capture local events in video
and can be adapted to the size, the frequency and the velocity
of moving patterns. In this paper we demonstrate how
such features can be used for recognizing complex motion
patterns. We construct video representations in terms of local
space-time features and integrate such representations
with SVM classification schemes for recognition. For the
purpose of evaluation we introduce a new video database
containing 2391 sequences of six human actions performed
by 25 people in four different scenarios. The presented results
of action recognition justify the proposed method and
demonstrate its advantage compared to other relative approaches
for action recognition.
ARM-7 Based Semi Autonomous Vehicle
Sayali S.Pawar, R.G.Dabhade
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
In every day there are millions of vehicles are passing on the roads due to urbanization. Transportation
Department plays an important role in the features like Time, safety and efficiency but due to the lack of
awareness Accidents occurs as usual and the consecutive things will be delayed then it gives the lose of
the life also. Here the proposed paper describes the process for avoiding the above mentioned issues. It is
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ARM7 based system the core hardware has modules such as RFID READER, GPS, GSM wireless
transmission will try to compensate the new transport related issues. Applications such as accident alert,
traffic rule violation control and special zone are explained in this paper. An efficient utilization of
communication link between RF Modems over a wireless channel to provides the information regarding
vehicle monitoring, vehicle authentication. The implemented system is a more convenient to
automatically sending information to above such applications.
ARRIVAL TIME AND SEAT AVAILABILITY PREDICTION SYSTEM
FOR PUBLIC TRANSIT
Magar Sonali Bhausaheb, R.G.Dabhade
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
The proposed system focuses on enhancing the usability and productivity of existing bus transportation
system in Indiancities. In this technology has a role to play for completion of the goal by means of
providing an effective solution by establishing a wirelesscommunication network in the city.This
introduces a framework as an improvement to the existing city bus public transport system in India -
Arrival Time Prediction of bus and approximate Seat Availability in the bus. Zigbee and GSM/GPRS
Technologies can be utilized to establish a wireless networkamong Buses, Bus Stops and Central Bus
Stand in order to establish this interconnection.ZigBee modules used for short-range communication and
Long-range communication is established using GSM messaging. Theimprovements in the system are
expected to encourage more people to use public transport in order to overcome the problem oftraffic.
Excessive fuel consumption is also problem in many aspect this also get reduced.
ATM Vault authentication and security using finger print biometric with
GSM technology
Deshmukh Reena Haribhau, Prof. R.K. Navandar
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
Automated Teller Machine (ATM) is the best approach for accessing bank’s Account from anywhere at
any time. Being an electronic telecommunication device, it helps customer to perform
transactions/withdraw cash, make deposits & transfer funds by simply touching few buttons on screen
without need for a cashier or bank teller. There are no proper authentication methods applied for security
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during ATM transactions. In this paper, security approaches of ATM have been focused on, and have
been improved using biometric based authentication technique i.e.
Wireless Real Time Bus Location Tracking & Time predicting System
Bhad Pooja Ramdas, Navandar R. K.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
The main purpose of this project is to develop a real time bus tracking system to enhance current bus
service system and reduce the workload of bus management team. The poor services provided by bus
service providers are because majority of them are still implementing manual work. Moreover, passengers
are impatient while they are waiting in bus stop because they are not able to know exactly how long to
wait and where the next coming bus is. Excessively long waiting time at bus stops often discourages the
travelers and makes them reluctant to take buses.
Global Positioning System (GPS) is the main technology implemented behind the system. A GPS receiver
is used to track on real time bus coordination by continuously receiving the position data which are
latitude and longitude values from GPS satellite, then send the position data to Microcontroller and
process the raw position data into real time information for users. From that we can find the location of
bus and to reduce workload performed by bus management team.
The Use of Graphene-Based Earphones in Wireless Communication
Wable Yogita Balnath, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
Graphene-based materials have attracted much attention in recent years. Many researchers have
demonstrated prototypes using graphene-based materials, but few specific applications have appeared.
Graphene based acoustic devices have become a popular topic. This paper describes a novel method to
fabricate graphene based earphones by laser scribing. The earphones have been used in wireless
communication systems.
A wireless communication system was built based on an ARM board. Voice from a mobile phone was
transmitted to a graphene-based earphone. The output sound had a similar wave envelope to that of the
input; some differences were introduced by the DC bias added to the driving circuit of the graphene-based
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earphone. The graphene-based earphone was demonstrated to have a great potential in wireless
communication.
Face recognition based attendance monitoring system
Sonawane Pramod Dasharath, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
In this seminar report we will discuss speaker recognition. Speaker recognition can be performed by
recognizing the utterance of a speaker. This systems can be classified into text dependent systems and
text-independent systems. In this report we will also discuss the types of text dependent and text
independent system. The types of text dependent systems are viz. Dynamic Time Warping, Hidden
Markov Model. The types of text independent systems are viz. Artificial Neural Network, Vector
Quantization Method, Gaussian Mixture Model, Support Vector Machine. Based on literature survey I
have observed that Support Vector Machine performs better as compared to other systems. It is a
generalized linear classifier with maximum-margin fitting functions. This fitting function provides
regularization which helps the classifier generalized better. By using the combination of Support Vector
Machine and Hidden Markov Model, We can assessing the video and audio modalities through an RGB
camera and a microphone array. By analyzing the individual speakers spatio-temporal activities and
mouth movements, a mid-fusion approach to perform both Voice Activity Detection(VAD) and Sound
Source Localization (SSL) for multiple active and inactive speakers.
Signal Analyzer Using SDR-RTL Dongle
Kale Rupali M, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
In this paper the implementation of FM signal flow graph using GNU radio software and Noo-Elec RTL-
SDR dongle is explained. It also explains how install the dependencies of GNU radio and RTL-SDR
drivers on Windows. RTL-SDR dongle can demodulate FM signal in the frequency range from 25 MHz
to 1.75 GHz. It can perform spectral analysis of FM signal, ISM (Industrial Scientific and Medical) band
signal of 433MHz, GSM signal which is in UHF (Ultra High Frequency) band, etc.
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Plant protection and pest control using Linux based embedded system
Kardile Monali Balasaheb, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
The main objective of this work is to predict the occurrence of risk factor in apple caused by apple scab in
Himalayan regions. Firstly, we obtained the readings of the necessary environmental parameters like
temperature, humidity and leaf wetness duration, which leads to the growth of disease and pests by
interfacing sensors with the Raspberry Pi board and calculation of the infection index of the disease of
apple. As a prediction model, the Beta regression model was used as a standard equation from which the
severity index was derived and then in the prediction subsystem, the Python programming language was
used to predict the severity of apple scab disease to apple caused by ascomycete fungus,
Venturiainaequalis. Using Python and by analyzing pest surveillance data set of apple scab, we developed
a model for the prediction of pests. Further, we used the database connectivity, to send the data and the
required outputs to the server where the authorized officials could access the data. The result showed that
Raspberry Pi and Python successfully predicted the pest attack in advance. In this way it is a novel, easy
to handle, economical system for the apple growers and farmers.
Smart Farm Monitoring Using Raspberry Pi And Arduino
Korade Sarika Raosaheb, Prof.Navandar R.K
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
This study aimed to investigate an establishment using an Intelligent System which employed an
Embedded System and Smart Phone for chicken farming management and problem solving using
Raspberry Pi and Arduino Uno. An experiment and comparative analysis of the intelligent system was
applied in a sample chicken farm in this study. The findings of this study found that the system could
monitor surrounding weather conditions including humidity, temperature, climate quality, and also the
filter fan switch control in the chicken farm. The system was found to be comfortable for farmers to use
as they could effectively control the farm anywhere at any time, resulting in cost reduction, asset saving,
and productive management in chicken farming.
Real Time Detection and Assessment of water parameters using GSM
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Kulkarni Ganesh Mukund, Navandar R.K
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
Proposed model presents efficient and economical system to assess and detect the water parameters
deciding quality of water like PH, Turbidity, water temperature and conductivity using sensor network.
This system uses two different modules namely sensor station and assessment station .Sensor station
contains sensor array containing various sensors namely PH senor, Conductivity sensor, water
temperature sensor, turbidity sensor which collects real time readings of these parameters and send it to
the Assessment room where we can observe the readings using VB based front end & if we
found anything exceeding predefined limit then corrective action can be taken. So this model proposes
quite useful and holistic model for water quality measurement.
IOT Based Solar Field Monitoring And Control
Jawale Kanchan Bhivraj, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
The Internet of Things (IoT) is the system network of physical object devices, vehicles, buildings and
other items embedded with sensors, electronics, software and network connectivity that enables these
objects to collect and exchange data. IoT is expected to generate large amounts of data from diverse
locations. IoT is one of the platforms for today’s smart city and smart energy management systems. In
this paper, we are interested in Photovoltaic systems (PV) which generate electricity from solar radiation.
More precisely, our contribution consists in the implementation of a remote monitoring and control PV
system for standalone applications located in an open environment. The novelty of our approach relies on
the fact that it is operational even in the case of a huge spread deployment of PV system. Monitoring
systems provide 24/7 data log of the system, which maximizes the benefits of early-warning systems,
trending and performance reporting as a part of their routine of monitoring. In addition, they use systems
for monitoring news, weather and spot-market pricing to ensure all issues are included in the monitoring
process. Our solution aims to be a good replacement of manually module checking which is not
recommended because of time-consuming, less accuracy and potentially dangerous to the operator.. Then,
we introduce, as a communication technology, a full duplex digital system using the infrastructure of the
following system. The result of our demonstration shows that the system can monitor and control the
remote communication between the monitoring center and the PV station. Thus, the remote monitoring
functions are realized in real-time.
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Health Companion Device using IoT and Wearable Computing
Garud Priyanka Ramdas, Dabhade R. G
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
Remote Health monitoring means to monitor people’s health outside the clinical settings. Our approach is
to develop a wearable device that will monitor the temperature and pulse rate of the person on a regular
basis and enable early detection of deterioration. If the person's temperature or pulse rate crosses the
critical level, the device will alert the person's relatives his/her deteriorating condition with the person's
current location. It also includes generation of a daily analysis report
helping the doctors to get a better understanding of the person’s condition and thus helps in better
diagnosis. It continuously uploads data on cloud which helps doctor to create monthly report of particular
person. Insights derived from the collected data, help the users to better monitor their health as well as
fitness and also helps the doctor to study the details of variations
in the user’s health conditions.
Active Power Filter based Power Factor Correction using Embedded System
Aher Tejas Revaji, Prof. Navandar R K
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
According to last few years, the power quality of the AC system has become a great concern due to the
rapidly increased numbers of inductive loads, electronic equipment, power electronics and high voltage
power system. In order to reduce line losses and improve the transmission efficiency, power factor
correction research became a hot topic. Many control methods for the Power Factor Correction (PFC)
were proposed. This paper describes the design and development of a single-phase power factor
correction using PIC (Programmable Interface Circuit) micro-controlling chip. This paper presents a
technique for single phase power factor correction of non-linear loads employing an active power filter.
The current control strategy is the same used in the boost pre-regulator, which is the average current mode
technique. It will focus on the design methodology and the analysis of the control strategy which allows
the compensation of harmonics and phase displacement of the input current, for single and multiple non-
linear and linear loads.
Web Based Automatic Irrigation System Using Embedded Linux Board
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Barse Vaishali Satish, Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
Automation is need of life and in farm sites also. In many small scale as well as large scale field it require
automation of processes. Such system management using dynamic IP based Embedded Web-server
(EWS) is presented in this project. In current era of networking, to maintain EWS with static Internet
Protocol (IP) is costly and difficult to manage. Novel approach of assign dynamic IP to board is
developed and tested for different dynamic IPs. Dynamic IP is obtained for embedded board by enabling
internet on things (IOT). The embedded system consists of raspberry-pi processor running on Linux
operating system. Embedded board (EB) having dynamic IP contains different inputs from sensors for
automation as well as web page designed in .php . With this web page any authorized person can monitor
irrigation automation parameters as well as can control irrigation applications.
Surveying Robot (Scorpion Robot).
Kadam Monali Shravan., Dabhade R. G.
S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]
ABSTRACT
In recent years, robots have been applied at different domains to co-ordinate collaborative behavior in
distributed systems and providing a powerful basis for proactive applications of complex nature,
especially in large scale disasters requiring complex tasks to be performed by groups under extreme time
and resource constraints. Now a day’s robotics technology is became very popular in all fields of human
life. A robot is a machine designed to execute one or more tasks repeatedly, with speed and precision. An
important aspect of robotics security systems is surveillance of specified area. All of these tasks are
performed mostly by human and trained dogs, often in very dangerous and risky situations. This is why
since some years mobile robots have been proposed to help them and to perform tasks that neither
humans, dogs nor existing tools can do.
Finally, the paper provides new avenues for effective utilization of automation and robotics through we
try to introduce the arduino based interesting application of robotics in disaster surveying and as well as
for security purpose. The robot is serially connected to PC.
IOT Based Industrial Monitoring and Fault Detection Using Android
Bhagyashree Dattatray Daware, Prof. Archana A Hatkar
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S. VISVESVARAYA IOT, NASHIK [027]
ABSTRACT
Now a days Automation plays major role in the industry. Human efforts are reduced using automation
system which monitors and indicates any fault in the system. In this paper IOT concept is implemented.
IOT is nothing but network of physical object or things embedded with electronics, software, sensors and
network connectivity which use this object to collect and exchange data. Here the system is developed,
which will automatically monitor the industrial applications and generates alerts and alarms and take
intelligent decisions using IOT concept. Here automation system is developed which can be used in
industry for monitoring various parameters such as temperature, humidity, gas and fire.
Voice Recognition Home Automation System Based On ARM 11
Atul Madhukar Borade, Prof.U.V.Patil
S. VISVESVARAYA IOT, NASHIK [027]
ABSTRACT
In the recent years, the Home Automation systems has seen a rapid changes due to introduction of various
wireless technologies. The explosion in the wireless technology has seen the emergence of many
standards, especially in the industrial, scientific and medical (ISM) radio band. ZigBee is an IEEE
802.15.4 standard for data communications with business and consumer devices. Zigbee is targeted at
applications that requires low data rate, long battery life, and secure networking. Zigbee has a defined
rate of 250 kbits/s, best suited for periodic or intermittent data or a single signal transmission from a
sensor or input device. The wireless home Automation systems is supposed to be implemented in existing
home environments, without any changes in the infrastructure. The automation centers on recognition of
voice commands and uses low-power ZigBee wireless communication modules along with
microcontroller. This system is most suitable for the elderly and the disabled persons especially those
who live alone and since recognize voice so it is secure. The home automation system is intended to
control all lights and electrical appliances in a home or office using voice commands. A voice recognition
wireless ZigBee based home automation system.
Smart Lab Using Android Phone
Abhijit Rajan Matade, Prof.Archana A Hatkar
S. VISVESVARAYA IOT, NASHIK [027]
ABSTRACT
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Oscilloscopes which are available may be CRO or DSO is not handy, user-friendly, not portable, and
requires
more power consumption. If we are doing any analysis regarding any circuit, then to see its synthesis we
move towards oscilloscope. So, if oscilloscope can be handy with the help of android as an operating
system, whenever we want to see our desirable waveform, it is in our hand. We are developing the real
time application of android oscilloscope. This paper presents the design and implementation of a low cost,
portable, light-weight; low power, single-channel oscilloscope, consisting of a hardware device and a
software application. The device is equipped with a Bluetooth module to provide connectivity to a device
with Bluetooth, running the Android operating system (OS), in order to display the waveforms. This
device also operates relays which provides different power supplies at the output.
SMART SPECTRUM SENSING AND ALLOCATION WITH
CYCLOSTATIONARY TECHNIQUE
Samruddhi Manoj Muttha, Mr. Manoj Kumar
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
Spectrum is main part of wireless
communication. Today spectrum security is a big problem due
to advanced growth of users. Spectrum is basically of two
types. The user that doesn’t need any license to operate is
called as Secondary user. In contrast, the user that needs
license to operate for wireless communication is called primary
user. It operates in fix geographical area for fixed time.
Spectrum frequencies cannot be increased because it has
limited range. We can try to improve spectrum efficiency with
the help of various technologies or methods like Cognitive
radio, Software defined Radio and Spectrum sharing
technique. Spectrum sensing is a method to obtain the
spectrum use characteristics across multiple dimensions such
as time, space, frequency, and code and finding which type of
signals are present in the spectrum. Here, Spectrum Sensing
method namely Cyclo-stationary is thought to be implemented.
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REAL TIME EFFICIENT FOREGROUND EXTRACTION WITH VIDEO
PROCESSING
Pawan Arun Gawade, Mr. Manoj Kumar
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
Video analysis is large source of unstructured
information today. Introduction to HEVC that is high-
efficiency video coding standard has tremendous potential to
lower the cost of data transfer and storage. HEVC provides
forty percent or more than that of reduction in bit rate at the
same visual quality. Looking over problem of limited
bandwidth it became necessary to compress video data. to
compress the data spatial and de correlated data is removed.
This causes compressed data to serve as a vital resource for
machine learning with significantly fewer samples for training.
In this project, an effective approach to foreground extraction/
segmentation is expected using novel spatio-temporal de-
correlated block features taken directly from the HEVC
compressed video [1]. Most of techniques, in contrast, work on
uncompressed images providing significant storage and
computational resources not only for the decoding process
prior to initialization but also in order to feature
selection/extraction and background modeling stage following
it. The proposed approach has been qualitatively and
quantitatively evaluated against Gaussian mixture model.
AN EFFICIENT IMPLEMENTATION OF ENHANCED KEY
GENERATION TECHNIQUE IN DATA ENCRYPTION STANDARD (DES)
USING VHDL
Chabukswar Punam Milind, Mr. P. Balaramudu
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
Cryptography is the process of protecting message
to avoid an unauthorized access of data. Secured Key plays
important role in cryptography. For increasing the level of
security in any communication system this project proposed an
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Enhanced key generation unit. The system proposed here three
other that direct keys generation ways to make key generation
stronger are user generated key, second one by using LFSR which
is good key stream generator, third is by using chaotic encryption
and fourth is 2’s complement. Another part is DES algorithm and
control unit is also designed for controlling the 16 round of DES
for encryption and decryption. In the implementation of DES
algorithm, a multiplexer-based architecture is used to implement
the substitution operations (SBoxes). These proposed architecture
is modeled in the VHDL design language and synthesized in the
Xilinx Virtex-xc6vlx75t-3ff484 field-programmable gate array
(FPGA) device.
A BROADBAND MIRCROSTRIP ANTENNA WITH CAPACITIVE
COUPLING FOR C-BAND APPLICATIONS
Bandari Hanumanthrao Sriramulu, Mr. Manoj Kumar
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
This paper presents the design and simulation of co-axial fed microstrip antenna for C-Band (4-8 GHz)
application with capacitive coupling technique. The antenna designed from antenna theory (manual
calculation) for centre frequency 5.6 GHz and later optimized for broadband using HFSS (High
Frequency Structural Simulator) software. Dielectric substrate FR-4 epoxy with dielectric constant 4.4 is
used. The proposed antenna exhibits a much higher impedance bandwidth 53% (S11
IMPLEMENTATION OF AES ALGORITHM USING VHDL
Kumar Amit Bindeshwar, Mr. Manoj Kumar
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
The Advanced Encryption Standard (AES)postulates a cryptographic procedure approved by FIPS to
safeguard data in electronic form. AES algorithm is a symmetric block cipher that can be used for
encrypting (encipher) and decrypting (decipher) data. The Advanced Encryption Standard was accepted
as an up gradation after the previously used Data Encryption Standard (DES) was found to be weak due to
its small
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key size and technical advances in processor power. Out of the fifteen algorithms in contention Rijndael
was selected as the new standard for encryption. Two Belgian inventors, Joan Daemen and Vincent
Rijmen collaborated to establish the name of Rijindael. It being a block cipher, its mechanism is on
permanent
length group of bits, called blocks. An input block of a assured size, usually 128 bits, is taken and an
equivalent output block of the same size is produced. A secret key acts as second input of
lengths of 128, 192 or 256 bits. Basically AES adopts a substitution-permutation set-up, which
concatenates a series of mathematical operations that use substitutions with known values and
combination of transformation in a permuted iteration in such a way that each input bit manipulates every
output bit. Here
we explore the steps in AES and its implementation on FPGA using VHDL.FPGA is the best platform
which specializes in fast iterative process using least devices.
GREEN HOUSE IMPLEMENTATION USING WEB SERVER
Priyanka Narayan Dhirde, Mr. P. Balaramudu
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
The Proposed system provides a technique and
new optimization fashions of greenhouses,which may be
effortlessly, included into power hub management systems
in the context of clever grids to optimize the operation in
their strength structures. In greenhouses, synthetic lighting
fixtures, CO2 monitoring, and weather control structures
control extensive electricity;as a result, a version of
greenhouses appropriate for his or her foremost operation
,in order that it is able to be applied as a supervisory
control in current greenhouse manage systems. The goal is
to minimize general electricity intake specifically, inside
temperature and humidity, CO2 awareness, and lights
ranges have to be saved within precise levels. consequently,
this model carries the quit-user preferences to optimally
function current manage systems in greenhouses. IoT
allows price powerful wireless sensor community system
with high effectiveness. It enables give up user real time
facts monitoring within a blink of eye. To avoid manual
mistakes and high guy electricity price for long time
monitoring utility it turns into vital to implement IoT
application for green house power automation.
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analysis of texture and classification based on wavelet transform with diffrent
linear model
Vikash Kumar Rajendra Prasad, Mr. Manoj Kumar
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
The Wavelet Transform is a multiresolution analysis tool commonly applied to texture analysis and
classification and also Wavelet based pre-processing is a very successful method providing proper Image
Enhancement and remove noise without considerable change in overall intensity level. The Wavelet
Transform mostly used for contrast enhancement in noisy environments. In this paper we propose a
texture analysis with the linear regression model based on the wavelet transform. This method is
motivated by the observation that there exists a distinctive correlation between the samples images,
belonging to the same kind of texture, at different frequency regions obtained by 2-D wavelet transform.
Experimentally, it was observed that this correlation varies from texture to texture. The linear regression
model is employed to analyze this correlation and extract texture features that characterize the samples.
Our method considers not only the frequency regions but also the correlation between these regions. In
contrast the tree structured wavelet transform (TSWT) do not consider the correlation between different
frequency regions. Experiments show that our method significantly improves the texture classification
rate in comparison with the,
TSWT, Gabor Transform and GLCM with Gabor and some recently proposed methods derived from
these.
Differential Latency Hypothetical Han Carlson Adder
Shekade Suvarna Dilip, Mr. P. Balaramudu
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
In this paper we have proposed hypothetical Han-
Carlson adder. The proposed adder employs hypothecation:
the exact arithmetic function is replaced with an approximated
one that is faster and gives the correct result most of the time,
but not for all time. The approximated adder is augmented
with an error detection network that asserts an error signal
when speculation fails. The hypothetical adder to reduce delay
and power consumption compared to non-hypothetical adders.
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The paper describe the stages in which differential latency
hypothetical prefix adder can be subdivided and presents a
novel error detection network that reduces error probability
compared to previous approaches .
Bank Security System using multispectral palm print images
Phalke Ulhas, Mr. P. Balaramudu
S.V.'S ENGG. COLG, RAJURI [99]
ABSTRACT
Abstract - Biometric identification is an emerging technology that can solve security problems in our
networked society. A new approach for the personalidentification using hand images is presented. This
paper attempts to improve the performance of palm print based verification system by integrating hand
geometry features. Unlike other bimodal biometric systems, the users do not have to undergo the
inconvenience of using two different sensors since the palm print and hand geometry features can be
acquired from the same image, using a digital camera, at the same time. These features are then examined
for theirindividual and combined performances. A new method of extracting palm print features is
presented. Since palm print images have many creases which are organized like ridges, ordinary
Fingerprint feature extraction algorithms are unable to extract ridges. Consequently, the goal of this paper
is to construct a new feature extraction method which can extract ridges under these conditions. This
technology actually processes on lines and points are extracted from palms for personal identification.
This paper presents a novel biometric technique to automatic personal identification system using
multispectral palm print technology. The Palm print recognizes a person based on theprincipal lines,
wrinkles and ridges on the surface of the palm. The recognition process consists of image acquisition, pre-
processing, feature extraction, matching and result. The different techniques are used for the pre-
processing,
Structural Health Monitoring of Bridge Using WSN
Ankush Sanjay Pawar, Prof.Y.R.Risodkar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Bridges play important role while considering the transport infrastructure. They represent a major
investment for society and an important part of that investment goes to inspection and maintenance.
Bridges often assign as bottlenecks in transport system with few practical alternative routes. As such,
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closing them for repair, inspection or replacement entails large costs for the users. Furthermore, safety
levels in bridges are expected to be higher than other parts of the transport system. This comes naturally
due to the fact that failure of a bridge could have severe consequences in material damage and human
lives. Introducing monitoring techniques in its different forms i.e. damage detection, traffic monitoring,
reliability assessment, etc. can save wealth by improving the understanding of the structure, thus reducing
the need of overly safe assumptions and by granting the possibility to get early warnings of problems that
develop. Now-a-days rapid development in the field of monitoring going on. Advances in sensor
technologies, different data communication devices and algorithms of data processing all explains the
possibilities of SHM, damage detection, traffic monitoring along with the other implementations of
monitoring systems. Bridges are crucial part in country’s infrastructure, as they are requiring huge amount
to build and maintain. As such, need to focus onto bridges for monitoring. Monitoring can enhance the
life of bridge. It can directly impact on avoiding or postponing any type of replacement, repair onto that
bridge. Many bridges establish bottleneck in the transport network as they serve with few or no
alternative routes. The amount of resources saved, by the both owner as well as user due to reducing the
amount of non-operational time can easily justify the extra investment in monitoring.
Under Vehicle Monitoring System for High Security Application
Janhavi Sanjay Soni, Dr. S. T. Gandhe
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Today the world is facing the biggest issue of crime, terrorism and vandalism. More than a billion of
motor vehicle travelling in the world allowing millions of people to move freely from one place to
another place. Terrorist and criminal’s organization use this freedom every day to smuggle arms and
weapon, traffic drugs border crossing and highly sensitive locations with bombs and weapons. The under
chassis is the only place of the vehicle which is very convenient to hide the drugs, weapons and
contrabands because it cannot be locked and always open. In this paper we proposed an under vehicle
monitoring system (UVMS) for high security application to provide the security against such dangerous
threats. Although such type of system is already available in the market, but the existed system is handled
manually and it is highly expensive as well so it cannot be affordable for every firm or person. The main
objective of this paper is to make the UVMS atomized and find a cost effective solution over the existing
system.
CAN Based Fault Finding System For Vehicle Using I2C Bus
Madhuri Govind Gadkari, Dr.G.M.Phade
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SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Now a days automotive electronics is rapidly advancing in driver assistance system. Current vehicles
generally use different networking protocols to integrate these driver assistance systems into vehicle, like
RS 232, RS 422 and RS 485. These protocols are only used to transport the message. It is required to find
the faults which occur in vehicles. Existing protocol does not meet this requirement. CAN(controller area
network) is an attractive solution for it with the embedded control systems due to its low cost, light
protocol management, the deterministic resolution of the contention and built-in features for error
detection and retransmission. Fault confinement is a major benefit of CAN. This paper explains design
and development of CAN bus protocol using I2C bus for monitoring the vehicle’s parameters like blown
fuse indication, temperature and controlling.
Anomaly Detection in Hyperspetral Images Using Improved LRASR
Meghana Sanjay Pagare, Prof.Y.R.Risodkar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
A novel method for detecting anomaly in hyper spectral images will be (ILRASR) using K-nearest
neighbor (KNN). Intensity is used for obtaining information and in Feature based methods, physical
features are used for obtaining information. Physical features like points and lines are obtained by various
methods. Eigen values is one of the features extraction techniques for registering an image and we are
also applying KNN which is a method used for classification and regression. And lastly optimization
problem will be solved to check whether it’s anomaly or non-anomaly (i.e. to check expect maximization
or minimization). In this project, optical and SAR images are used for registration, we will be taken two
input images and perform feature extraction between these two images. Key points will be matched and
displayed here. An essential preferred standpoint of the proposed algorithm is that it consolidates the
worldwide and nearby structure in the SAR images. Exploratory outcomes have been led utilizing both
recreated and genuine informational collections. These tests show that indicate that our algorithm
achieves very promising anomaly detection performance.
IoT Driven Healthcare System for Remote Monitoring of Patients
Rasika Ramanlal Nerkar, Prof. P.G.Salunke
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
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ABSTRACT
Improving the efficiency of healthcare infrastructures andbiomedical system is one of the most
challenging goals of modern-day society. The IoT revolution is re-designing modern health care with
promising technological, economic, and social prospects. The IoT allows objects to be sensed and
controlled remotely across existing network infrastructure. Wearable sensors play an important role in
remote health monitoring systems for long term recording, management and clinical access to patient’s
physiological information. IoT-based healthcare services are expected to reduce costs, increase the quality
of life, and enrich the user's experience. According to WHO standard, 60% population of India is affected
by chronic and cardiovascular diseases. The proposed system reduces the headache of patient to visit to
doctor every time he/she needs to check pulse oxygen in blood, body temperature and ECG. Doctor could
make use of real-time data collected on the cloud platform/ server to provide fast and efficient solution.
Image Deblurring via Enhanced Low Rank Prior using Modified LRMA
Shweta Suresh Gunjal, Prof.S.J.Pawar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Low rank network estimation has been achievement completely connected to various vision issues lately.
In this paper, we propose a novel low rank earlier for blind image deblurring. Our key perception is that
straightforwardly applying a straightforward low rank model to a hazy information picture essentially
diminishes obscure even without utilizing any bit data, while safeguarding imperative edge data. A
similar model can be utilized to diminish obscure in the inclination guide of a blurry information. Based
on these properties, we present an upgraded earlier for image deblurring by joining the low rank prior of
comparable patches from both the foggy picture and its angle delineate. We utilize a weighted atomic
standard minimization strategy to additionally improve the adequacy of low rank earlier for picture
deblurring also we employ a curvelet transform method to further enhance the effectiveness of low rank
prior for image deblurring, by retaining the dominant edges and eliminating fine texture and slight edges
in intermediate images, allowing for better kernel estimation.What's more, we assess the proposed
improved low rank earlier for both uniform and non-uniform deblurring. Quantitative and subjective
exploratory assessments show that the proposed calculation performs positively against the cutting edge
deblurring strategies.
Hydro-Monitor and Quality Analysis Using FPGA
Ammar Ahmad Mahvi Ghulam Rasool, Prof. Sushant J. Pawar
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SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Hydro-Monitor is an innovative system that check the water and its physio-chemical properties in an
electronically automated manner. This is not just testing the water properties and its features, rather it also
provides an automated system. Various physio-chemical properties of water in the automated system,
such as measurements of temperature, conductivity, Water flow, water level in the tanks, etc. also
included. Along with, this system is also designed for filling the water for homes or the societies in an
automated manner, without any human intervention. Through this system, in a bungalow or the entire
society, automatically checking of the status of tanks i.e. either they are empty of full, filling them on
priority basis, and the physio-chemical properties and quality of the water supplied to the common people
is to be measured, the data is collected on regular basis and mailed to the destination provided in a
modern style. In this era of lack of time, the author designed a new style of technical, time saving as well
as surprisingly labor-saving system.
Stabilizing Control Equipment for Survival of Isolated Mid-city Power
System
Atul Laxman Suryawanshi, Dr. Gayatri M. Phade
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
In view of the global scenario, electricity has become a prime need of human
being, ranging from household to industrial needs. The plexus of electricity from
generation to distribution is enormous. One of the most complex disciplines in electrical
engineering is power system protection which not only requires proper understanding of
the different components of a power system but also a good knowledge and analysis of
the abnormal circumstances and failures that can occur in any element of a power system.
The research of load flow analysis, fault level calculations and figuring out the
maintenance and repairs is very intricate because one has to mull over the line routes and
relay settings are to be decided based on the worst case in the fault prone area. It also
becomes obligatory to conduct several trials so as to calculate the time multiplier scale of
numerical protection relays which ensures that the minimum differentiation margin is
found between main protection relay and its backup relays. This can only be possible by
implementing a protection algorithm using an embedded system. This paper sheds light
on development of a numerical relay with integrated protection, control and monitoring
features o combat such situations by considering different fault conditions.
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Abandoned Object Detection
Nilesh Ramesh Ghuge, Prof.P.A.Dhulekar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Recently, security cameras have been installed at a high rate in places where there are extensive grounds
and many humans gather. The number of installed security cameras has been increasing year by year. The
main reason is security enhancement including the prevention of incidences of terrorism.Therefore, we
propose a method which detects abandoned objects and algorithms can be used to assist security officers
monitoring live surveillance video by directing their attention to a potential area of interest.
High Speed and Low Power Flash ADC
Prajakta Ravindra More, Prof.P.A.Dhulekar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
The Analog to Digital converters play an important role in today’s world of electronic systems. Present
applications demands High Speed and Low Power ADC. Out of the available ADCs, Flash ADC is most
popular not only for its highest conversion rate but also for its use in other types of ADCs and its wide
applications.Traditional N-bit flash ADC requires 2N-1 comparator and same number of preamplifier. if
we use multiplexer to design FLASH ADC number of Comparator and Preamplifier get reduced also use
of mux in Thermometer to binary encoder will reduce delay which will ultimately reduce overall power
consumption ,area and will rise the speed of operation.
Augmentation of RGB satellite imagery by means of vector field method
Sagar Kute, Prof. S.J.Pawar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
A Multispectral image is modeled as vector field with a number of dimensions equal to the number of
bands in the image. In this model pixel is defined as vector formed by a number of elements equal to the
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number of bands. It is often necessary to enhance multispectral radiance or reflectance data to create an
image that is suitable for visual interpretation.
A general method is needed that works for any number of bands, with no parameters and a reasonable
computing time. To fulfill such goal contrast stretch models a multispectral image by means of vector
field. The dimension of this filed equals the number of bands of the image. Such a evaluation includes
qualitative and quantitative analysis which will show clear improvements compared to state-of-art
methods.
Real time handwritten character segmentation using embedded platform.
Snehal S Dholi, Dr. Sanjay Gandhe
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Segmentation of handwritten file into text lines and words is vitally important for optical character
recognition i.e. OCR. The attribute of handwritten fileisuneven and depending on the person to person
therefore it is considered a stimulating problem. In order to address the problem, we formulate the word
segmentation problem as a binary quadratic assignment problem that considers pair wise correlations
between the gaps as well as the likelihoods of individual gaps. We estimate all parameters based on the
Structured SVM (Support Vector Machine) framework and embedded platform (using raspberry pi) so
that the proposed method works well irrespective of writing styles and written languages without user-
defined parameters. Proposed method achieves the state-of-the-art performance on Latin-based and Indian
languages ICDAR 2009/2013 handwriting segmentation databases which are experimentally proven.
Object Capturing In Cluttered Scene Using Point Feature Matching
Vimal Shudhakar Bodke, Prof. P.A.Dhulekar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Algorithm for detecting a specific object based on finding point correspondences between the reference
and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to
small amount of out-of- plane rotation and occlusion. This method of object detection works for objects
that exhibit non-repeating texture patterns,which give rise to unique feature matches. This technique is
also works well for uniformly-colored objects, or for objects containing repeating patterns. Note that this
algorithm is designed for detecting a specific object.
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Intensification of Content Based Image Retrieval Using Color, Texture And
Edge Features
Yogen Mahesh Lohite, Prof. S. J. Pawar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Content Based Image Retrieval (CBIR) systems are used to find images that are visually similar to a
query image. The application of CBIR systems can be found in many areas such as a web-based product
search, surveillance, and visual place identification. A common technique used to implement a CBIR
system is bag of visual words, also known as bag of features. Bag of features is a technique adapted to
image retrieval from the world of document retrieval. Instead of using actual words as in document
retrieval, bag of features uses image features as the visual words that describe an image.
Image features are an important part of CBIR systems. These image features are used to gauge similarity
between images and can include global image features such as color, texture, and shape. Image features
can also be local image features such as speeded up robust features, histogram of gradients, or local
binary patterns. The benefit of the bag-of-features approach is that the type of features used to create the
visual word vocabulary can be customized to fit the application. This work is a promising step towards
much larger, “web-scale― image corpora.
Implementation of Remote Server using Raspberry PI for Traffic Detection
and Alert System
Ghanshyam Talele, Prof.Y.R.Risodkar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
The embedded web server technology is the permutation of implanted device and Internet technology,
which allows a flexible remote device monitoring and management function based on Internet browser
and it has become an advanced movement of embedded technology. Through this server based on
embedded system client can monitor their equipments remotely. The monitoring mentioned here could be
traffic monitoring. This development is focused on implementation of ARM embedded web server based
on Raspberry Pi which will be able to serve the purpose of traffic detection and alert system.
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SCADA monitoring using arduino platform
Vihang Ajay Sangamnerkar, Prof. Sushant J. Pawar
SANDIP IoT & RESEARCH CENTER, NASHIK [061]
ABSTRACT
Wireless networks (WSAN) constitute an emerging technology with multiple applications. Due to the
features of WSAN (dynamism, redundancy, fault tolerance, and self-organization),this technology can be
used as a supporting technology. The reach of the SCADA system has been hampered by deployment
flexibility of the sensors that feed it with monitoring data.The integration WSAN with SCADA is
economical. However, there are challenges which have to be addressed in order to comprehensively take
advantage of the WSAN features. Keywords- Critical infrastructure monitoring; Arduino platform;
(SCADA); Security & Surveillance; Human Machine Interface. I Introduction SCADA is centralized
system and often, are used with applications where security and safety are vital factors.
Identification,detection & classification of plant leaf diseases by using Image
Processing
Gawali Priyanka Dilipkumar, Dr. G. U. Kharat
SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
This offered work makes open to, a advance computing technology that has been undergone growth to
help the farmer to take higher decision about many aspects of the years produce development process.
Due to increased production, exact evaluation & diagnosis is being difficult. There is an production,
economic losses as well as reduction in quality and quantity of agricultural products. Now a day’s plant
diseases discovery has received increasing attention in looking at greatly sized field of the years produce.
In this paper we need of simple plant Leaves disease discovery system that would help moves-forward in
farming. Early information on the years produce being healthy and disease discovery can help the control
of diseases through right business manager’s designs. This way of doing will gets better amount
production of the years produce. This research work also makes a comparison the benefits and limiting
conditions of these possible & unused quality ways of doing. It includes several steps viz. image
acquisition, image pre-processing, features extraction and normalized minimum distance classifier for
classification.
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Reduction of energy consumption in NoC
Hande Bhagyashri Jaysing, Dr. G. U. Kharat
SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
As technology trends advances workstation chips converted increasingly parallel, an effective
communication substrate is crucial for gathering presentation and energy goals, also as nanometre
technology shrinks day by day work station chips migrated to SOIC - System On Integrated Chip which
leads to too many challenges in the design era, and is more serious for communication applications such
as Network On Chip (NoC) and also as technology contracts, the power supply of NoC links starts to
struggle with that of NoC routers.
A major challenge to the competence of multi-core chips is the energy used for communication among
cores over a Network on Chip (NoC). As the number of cores growths, this energy likewise growths,
striking serious limitations on design and performance of both applications and architectures. So,
understanding the influence of different design choices on NoC power and energy consumption is central
to the success of the multi- and many-core designs.
In this project work, we propose the use of efficient data encoding techniques as a real-world technique to
shrink both power dissipation and energy consumption of NoC links. We mark the core reason of network
energy consumption through techniques that shrink link and router-level switching commotion. The
proposed encoding techniques are simulated and verified by Xilinx tools.
Gesture Recognition of Handwritten Digit Using MEMS Accelerometer Based
Digital Pen
Bhore Prashant Prakash, Dr. G. U. Kharat
SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
There are different technologies used in computer vision which helps to recognize a hand written
character more effectively and yields a reliable output with the advancement of electronics. On-line hand
writing character recognition using accelerometers is the basic proto-type for all the latest technologies.
Here this project work present a 3-D input medium based on inertial sensors for on-line character
recognition and an ensemble classification scheme for the recognition task. The system allows user to
write a character in the air as a gesture, with a sensor-embedded device held in hand. This project work
based on a 3D input digital pen which works on triaxial accelerometer to sense human gesture. This
digital pen embedded with triaxial accelerometer, microcontroller, RF wireless transmitter module. The
triaxial accelerometer measure acceleration signal along all the 3 axis. Accelerated signal process through
microcontroller and serially transmitted through RF transmitter which can be received at remote place RF
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receiver. With the help of MATLAB tool feature vector are generated from received accelerated signal to
recognize handwritten numeric digit and PNN classifier technique for the best accuracy purpose.
Voltage Source Invert er with Three Phase Prevent er and Selector for
Industrial Application
Bhandare Vilas Baburao, Dr. G. U. Kharat
SGMSPM'S S. PAWAR COE ,OTUR [68]
ABSTRACT
In this competing world where efficient and effective production takes place, industries uses 3 phase
supply that cannot afford a failure of even a single phase. Failures of any phases make appliances prone to
erratic functioning and may even lead to failure of that appliance. Phase absence is a very common
problem in any industry. Many times one or two phases may not be live in three phase supply. Because of
this, many times some electrical appliances will be “ON� in one block and “OFF� in another
block. This creates a big disturbance in industry. In the agriculture area different motors are used that is
also depends on three phase supply if any phase lost then motor stop working & some time it get damage.
Three phase Induction Motors are very sensitive and get damaged, when they are subjected to single-
phasing. The motor will operate within its rating when the voltages are balanced. When the voltages
become unbalanced, excessive heating will occur, and the motor will have to be dated. Goal is to build a
system that can support one of the phase supplies with the help of existing phase supply. The
development of this system will be achieved by using microcontroller which can be programmed by using
embedded. Microcontroller 89c51 is then coupled with inverter by using driver circuitry. With the help of
this system load is instantly disconnect from mains under single phasing condition. The advantage of
using this protective approach over the previous one that made the use of four pole two way switch which
has high sensitivity to voltage unbalance. If we go to have a three-phase inverter, which is available in
market the cost of it is more. So, here is an attempt made to have single phase to three phase inverter with
appliance protection and live phase selection, which saves money up to great extent.
Parameter Monitoring and Control of Bank Record Room using Embedded
System
Joshi Dharini Damodar, Prof. K. Sujatha
SHREE RAMACHANDRA COE [096]
ABSTRACT
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Bank is a one of the example of institute that using information technology in its daily task to fulfill the
organization and customers need. Thus bank has its own system to insure their transaction works the way
it is and prevent any activity that could cause lost to the organization and its clients and all customers.
System used sensors which are used in daily applications in order to reduce the human need in banks. In
our paper some sensors are used to satisfy the human needs. Bank record room weather monitoring plays
an essential role, so the collection of information about the temporal dynamics of weather changes is very
essential. In any bank record room during certain hazards it is very essential to monitor weather. This
paper proposes a GSM module; it is a very effective and accurate technique to transmit useful
information. That Information contains the parameters such as temperature and humidity of the medium.
The system use wireless sensor network.
A Novel Technique to design low energy consuming 9T SRAM cell
Sawant Varsha Tanaji, Prof. (Dr.) K. Sujatha
SHREE RAMACHANDRA COE [096]
ABSTRACT
This paper proposes a novel SRAM cell with 9T that uses a read-decoupled access buffer and power-
gating transistors which helps in efficient read and write operations. The error immunity is achieve by bit
interleaving for SRAM cell having 9 transistors and also uses column based virtual VSS signal to
eliminate bit line discharges to reduce the energy consumption in the unselected columns. This SRAM
can be used in 45 nm to achieve read stability yield. Here the cell acquires 40 % & 20 % less energy per
read & write operation at minimum operating voltage.
Hybrid single Bit Low - Power High Speed Full Adder
Gaikwad Sachin Pandurang, Prof. (Dr.) K. Sujatha
SHREE RAMACHANDRA COE [096]
ABSTRACT
We present high speed low power full adder cells that lead to have a reduced power-delay product
(PDP).We carried out a comparison against other full-adder structure as having low PDP, in terms of
speed, power consumption and area of cells. This paper contains, a hybrid 1-bit full adder design
employing both complementary metal-oxide semiconductor (CMOS) and transmission gate logic styles.
First we implemented design for 1 bit then extended it for 32 bit also. The circuit is implemented using
Tanner EDA tools in 125nm technology. The circuit parameters such as power, delay, and layout area
were compared with the technology and compared with the existing designs such as complementary pass-
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transistor logic, transmission gate adder, transmission function adder, hybrid pass-logic with static CMOS
output drive full adder, and so on. In comparison with the existing full adder designs, the present
implementation more significant improvement in terms of power and speed.
Implementation of a High-Speed and low complexity FPGA using RSD Based
ECC Processor
Koparde Abhay Arvind, Prof. (Dr.) K. Sujatha
SHREE RAMACHANDRA COE [096]
ABSTRACT
In this paper, an exportable application-specific instruction-set elliptic curve cryptography processor
based on redundant signed digit representation is proposed. The processor employs extensive pipelining
techniques for Karatsuba-Ofman method to achieve high throughput multiplication. Furthermore, an
efficient modular adder without comparison and a high throughput addition/subtraction, which results in a
short data path for maximized frequency, are implemented. We have proposed a novel recursive
decomposition algorithm for addition to obtain high-throughput digit-serial implementation. The
synthesis results for field programmable gate array (FPGA) and application specific integrated circuit
(ASIC) realization of the proposed designs and competing existing designs are compared. The processor
supports the recommended NIST curve P256 and is based on an extended NIST reduction scheme. The
proposed processor performs single point multiplication employing points in affine coordinates in 2.26
ms and runs at a maximum frequency of 160 MHz in Xilinx Virtex 5 field-programmable gate array.
Remotely operated pesticide sprayer robot in Agricultural field
Shubhangi Balasaheb Londhe, Prof. (Dr.) K. Sujatha
SHREE RAMACHANDRA COE [096]
ABSTRACT
Despite the focus on industrialization, agriculture remains a dominant sector of the Indian economy both
in terms of contribution to gross domestic product (GDP) as well as a source of employment
to millions across the country. Agriculture plays a vital role in the Indian economy. Over 70 per cent of
the rural households depend on agriculture as their principal means of livelihood. But an attack of pest in
crops is one of the major problems to reduce the production growth in agriculture field. To deal with this
kind of problem diagnosis of crop disease is very essential. This paper presents an engineering solution to
tackle this kind of problem in which an automatic pesticide sprayer is involved to spray the pesticide to
the localized area of the affected crops. This system is based on sprayer filled with pesticides. The
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Sprayer movement is controlled by DC motor at low velocity, up & down direction according to plant
height. The design deals with three modules image capturing, processing and automatic pesticide
spraying. The proposed system can remotely operate through any electronic device like mobile, laptop
etc.
Patterned Fabric Defect Detection Using Regular Band And Distance
Matching Function
Sarojini Ganapati Naik, Prof.M.S.Biradar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
In traditional fabric defect detection System, Visual inspection of by human being was time consuming,
inefficient and costly method. So in order to overcome this drawback, the fast and cost efficient automatic
pattern fabric inspection method are introduced. Also, researchers encountered difficulties in the
inspection of pattern fabric because the fabric has repetitive units on its design and texture complexity. In
this paper, a patterned fabric defect detection method using distance matching function and the Regular
band is proposed. The distance matching function is used to find a horizontal and vertical period of a
repetitive unit of a patterned fabric. The regular band method is used for the regularity analysis of the
patterned texture. Regularity analysis is spatial relationship between intensity values.The results obtained
from the regular band are compared with direct threshold and Bollinger band method and the performance
analysis shows that Regular band + distance matching function performs better than previous methods.
Synthetic Speech Spoofing Detection using MFCC and SVM
Sonawane Anagha Vasant, Prof.M.U.Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
In the recent times synthetic voice is used to deceive a speaker recognition based biometric access
systems. This paper presents synthetic speech detection in automatic speaker verification system (ASV)
for spoof detection. Canonical Mel Frequency Cepstral Coefficients (MFCC) algorithm is used for feature
extraction and Support Vector Machine (SVM) is used for classification of natural and synthetic voice.
Several experiments are carried out on ASVspoof 2015 database, showing that nonlinear SVM performs
better than linear SVM.
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Automatic Glaucoma Screening Using Superpixel Segmentation
Joshi Manisha Ramakantrao, Prof.V.S.Bhatlawande
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
Glaucoma is an irreversible chronic eye disease that leads to vision loss. As it can be slowed down
through treatment, detecting the disease in time is important. However, many patients are unaware of the
disease because it progresses slowly without easily noticeable symptoms. Currently, there is no effective
method for low cost population-based glaucoma detection or screening. Scanning laser ophthalmoscopes
(SLOs) can be used for early detection of retinal diseases. With the advent of latest screening technology,
the advantage of using SLO is its wide field of view, which can image a large part of the retina for better
diagnosis of the retinal diseases. On the other hand, during the imaging process, artefacts such as
eyelashes and eyelids are also imaged along with the retinal area. This brings a big challenge on how to
exclude these artefacts. In this paper, we propose a novel approach to automatically extract out true retinal
area from an SLO image based on image processing and machine learning approaches. To reduce the
complexity of image processing tasks and provide a convenient primitive image pattern, we have grouped
pixels into different regions based on the regional size and compactness, called superpixels. The
framework then calculates image based features reflecting textural and structural information and
classifies between retinal area and artefacts.
Homogeneity Analysis For Defect Detection in Fabric
Kure Namita Uttam, Prof.M.S.Biradar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
Surface defect detection algorithm based on local neighborhood. A local neighborhood window slides
over the entire inspection image, and the coefficient of variation is used as a homogeneity measure. When
LHM value of a pixel is above the threshold, judging it belongs to the defective region. If local
homogeneity measure (LHM) value is less than the threshold value, it is determined that it is defect-free
region. Choosing control variable threshold is very important. If you select a smaller, may generate
pseudo defects and noise in the segmented defect image. If you select a larger, it may be cause defect
detection incomplete, and even defect missed detection.
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Unidirectional Visible Light Communication for Internet-of-Things Devices
Harsh P Gandhi, Prof. M.U.Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
Visible light communication has attracted interests in many fields partly due to widespread commercial
availability of LED lights and partly due to limited bandwidth available on radio communication. It is
even more effective for Internet-of-Things(IoT) devices which require very less bandwidth but still need
to remain connected all the time. In this paper, we propose a method for implementing a unidirectional
Visible light based communication using commercial LED bulbs and at the same time, providing flicker-
free illumination. In this paper, we go through the range of with respect to the distance between
transmitter and receiver.
Design and Implementation of Voice and Motion controlled Autonomous
Drone
Pritesh Metha, Prof. M.U.Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
Voice and Motion controlled Autonomous Drone controlled by Radio frequency communication. The
purpose of this project to explore the available technologies to control drones and distinctive means in
which they are used to support enhanced voice command and control of drones. Voice command and
Motion Sensor Data are mapped to both significantly increase the Human and drone interface. Algorithm
written inside flight controller allows to receive voice command and motion sensor data through Radio
Receiver and concerted to achieve an aim or deal with respective command. This project is broken in to 2
task: Implementation of Voice Recognition and Motion detection and Design of Autonomous Drone.
EEG-Based Attention Tracking during Distracted Driving
Tambat Vilobh Vilas, Prof. M. U. Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
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The key work of the project is analyzing the brain signals. Human brain consists of millions of
interconnected neurons. This neuron pattern will change according to the human thoughts. At each pattern
formation unique electric brain signal will form. If a person is took alcohol with abnormal condition then
the attention level brain signal will get changed than the normal condition. This project work uses a brain
wave sensor which can collect EEG based brain signals of different frequency and amplitude and it will
convert these signals into packets and transmit through Bluetooth medium in to the level splitter section
to check the alcoholic level of the person. Level splitter section (LSS) analyze the level and gives the
abnormal driving alert and keeps the vehicle to be in self controlled function until awaken state and sends
the information to the control section through mobile communication .
Real Time Wireless Sensor Network for Landslide detection Using ARM 9
Controller
Ramesh Vasantrao Sutar, Prof. M. U. Inamdar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
Wireless Sensor Network is one of the most promising fields and has innumerable applications in the real-
time systems. Implementation of WSN in real-time system for landslide detection and warning system is
discussed in this paper. Sliding of rocks and soil is called landslide. It is triggered mostly because of
heavy rainfall or melting of snow and can cause loss of lives and property. Using real-time monitoring the
landslide can be detected and with the help of suitable warning system people can be warned. The system
monitors the changing geo-technical condition using various geo-technical sensors like soil moisture
sensors, weight sensor, and tilt meter. This paper also touches upon the aspects of data transmission over
Global System for Mobile Communication (GSM) to a remote data center.For this system we proposed
the use of LPC1768 ARM microcontroller, Zigbee & Bluetooth for warning system.
Automated Fabric Defect Detection Based on Multiple Gabor Filters and
KPCA
Bhilare Sushant Balasaheb, Mrs. M.S. Biradar
SIDDHANT COE, SUDUMBARE [044]
ABSTRACT
A new detection approach is proposed to detect various uniform and structured fabric
defects based on the multiple Gabor filters and Kernel Principal Component Analysis.
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First of all, images are filtered by multiple Gabor filters with six scales and four
orientations to extract feature vectors. After that, the sub-blocks divided from the feature
vectors have been fused and the high-dimension data can be reduced by using Kernel
Principal Component Analysis. Finally, the similarity matrix is calculated by Euclidean
norm and segmented with OTSU threshold method. The experiment has been done by
integrating hardware and NI LabVIEW graphical programming language. Experimental
results show that proposed algorithm improves feature extraction capability significantly
and has high recognition rate
Spectrum Occupancy Measurement Modeling and Comparison
Suryawanshi Snehal A, Dr.K.P.Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Present wireless communication methods allow limited choice of operating frequency of the wireless
devices. Cognitive radio is the answer to the problem of underutilization in the spectrum. Researches have
proved that a large part of current licensed spectrum is inefficiently used. In this paper we have conducted
spectrum measurements and analysis for indoor and outdoor locations in urban area of Pune city for the
frequency band of 700 MHz to 2.7 GHz. These measurements provide an effective evidence that
occupancy is very low in some bands which can be used by the spectrum regulators while implementing
the Cognitive allotments methods
Detection of Red Lesions from the Retina of Diabetic patients
Geeta Govind Unhale, R.P.Borse
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
For the detection of retinal lesions in fundus images automation is necessary. The method included in this
paper is very useful for detection of microaneurysms and hemorrhages in fundus images. In this method
the dynamic shape features are used for detection of red lesions in the fundus images in which
segmentation is not needed [7]. During image flooding shape features are evolved and differentiated
between red lesions and vessel segments. Diabetic retinopathy is very common disease seen in the
diabetic patients and as the number of diabetic patients may increase day by day, so regular examination
of eyes of diabetic patients is necessary. Automation helps ophthalmologist in detection of the retinal
lesions and thus it automatically reduces the burden on ophthalmologist .The databases used are Messidor
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,Erlangen, CARA 143,CARA1006,ROCh etc. It also consist of Bright lesions like exudates and cotton
wool spots[1]. The method included in this paper does not include segmentation so that it reduces false
dection of lesions ,so that accuracy get increased.
Clinical depression detection in adolescent by face
Prajakta Kulkarni, M.M.Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Showing emotions is a habit of every human. The emotions may be happy, sad or any other. Sometimes
due to stress person become sad and when that state of stress prolong more than a week , person may
cause a depression. If that depression state remains undetected ,It may give some serious effect on human
health. Hence due to stressful day to day routine, stress become a cause of depression and the detection of
depression becomes an important part. According to the World Health Organization (WHO), 350 million
people worldwide suffer from depression. It is a leading cause of disability. Hence detection of depression
in its early stage is important.
We implement the method for detection of depression in adolescent. By applying Fisher vector encoding
and local tetra pattern the method of detection of depression is implemented. With the help of this
algorithm depression can be detected without physical presence of doctors. This algorithm not only gives
the severity of depression but also gives the result of ‘depressed’ or ‘not depressed’. The database is
used from AVEC 2014. For feature extraction Local tetra pattern(LTrP) algorithm is used. After
extracting the features of face, fisher encoding is computed. Which will give a classification result ,that is
‘Depressed’ or ‘Non depressed’.
CLINICAL DEPRESSION DETECTION FOR ADOLESCENCT BY
SPEECH FEATURES
Pallavi Parekh, M.M.Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Depression is a common mental illness with a prevalence of 10-15% in general population. It is a
debilitating condition which can cause physical and psychological symptoms and lead to social and
functional impartment. Depression affects a persons psychosocial function and can eventually lead to
family problems,problems in social life and loss of job.The increase in the prevalence of clinical
depression in adolescents (i.e., those aged 13-20 years) has been connected to a scope of genuine results,
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especially an expansion in the quantity of suicide endeavors and passing’s, making it a general wellbeing
concern. Indications of depression often first appear during adolescence at a time when the voice is
changing, in both males and females, recommending that particular investigations of these marvels in pre-
adult populaces are justified. The TEO-based features clearly outperformed all other features and feature
combinations, giving characterization precision going between 81%-87% for guys and 72%-79% for
females. Clinical depression belongs to the group of affective (mood) disorders in which emotional
disturbances consist of prolonged periods of excessive sadness marked by decreased passionate
expression and physical drive. Results were gotten by joining TEO features with glottal features (81%-
87%)). These discoveries demonstrate the significance of nonlinear instruments related with the glottal
stream arrangement as signals for clinical depression.
Recommendation Based Advance Driver Assistance System: using Raspberry
Pi
Pathan Kamran Ahmed, Minakshee M. Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
This paper presents a Recommendation Based Advance Diver Assistance System that helps to reduce
shockwave formation which cause traffic jams on highways. Due to the reduction of shock wave
travelling upstream there will bedecrease in pollution caused by traffic jams in-turn fuel efficiency of the
vehicle will increase. This also reduce fatigue level of thedriver as an added benefit. The system consists
of Raspberry Pi 3 Model B kit with Wi-Fi and Bluetooth enabled. Serial GPSreceiver to get the current
location of the vehicle. For demopurpose a dummy vehicle has been created, it is controlled viaBluetooth
LE enabled smart phone. It has Hall Effect sensorto calculate the speed, Optoisolator and motor driver
circuit todrive the demo vehicle. This system will recommend the drivera speed range which he needs to
maintain so that he does notfaces traffic jam ahead. This speed recommendation is generatedbased on the
traffic scenario ahead that is communicated byvehicles equipped with such systems ahead of it. The
systemuses Macroscopic and Microscopic traffic models to calculate thespeed recommendations based on
the density gradient betweenthe two communicating vehicles.
Emotion Recognition of Optimized Features by using various distances in
KNN Classification and customized SVM Classification of Facial Expressions
Madhuri Thakare, V. D.Bharate
SINHGAD ACADEMY OF ENGG., PUNE [043]
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ABSTRACT
This research aim at developing the humanoid soft-ware technology which can interface with human
intellectual system. The main objective of the research is to generate the more accurate automated system
for the emotion recognition by using the still images. The five basic emotions such as happy, sad,
surprise, fear, neutral has been recognized in this researched. Firstly the three techniques are used for the
feature extraction from facial expression, that are Histogram of Oriented Gradient, Gabor Filter, Discrete
Cosine Transform for obtaining more accurate features from the still images stored in database. Secondly
the paper aim at the customized classification of the features by using the KNN classification with
comparison of various distances such as Euclidean, cosine, city-block, correlation distance for more
accurate and optimal results which are used in KNN classification and SVM classification .The accuracy
obtained with KNN classification is 68% where as with the more advanced technique SVM classification
we obtain 78% of accuracy.
High efficiency electrical power supply system for satellite
Rameez Mulla, Dr. P.N. Shinde
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
The temperature & isolation level is inversely proportional with PV voltage and directly with PV open
circuit voltage. The voltage factor depends on cell material and manufacturing but is usually fixed for
temperature and isolation. This remarkable property is used to achieve temperature and insolation
independent MPPT of satellite’s solar cells with a simple and reliable technique. Microcontroller
continuously measures the open circuit voltage and also calculates maximum power operating point of the
system. The MPPT is designed and constructed with the solar array as input and the boost converter. The
battery weight and solar array is downsized as the efficiency of the power supply is increased which is an
important designing factor for satellite. The control schemes are integrated and the efficiency is validated
by testing itwith various Resistive load. In hardware Open Loop Multilevel Inverter based on PIC16F77A
output results are showed in the CRO/DSO.
Body Composition Analysis Using Various Anthropometric Equations
Archana Pawar, D. K Kamat
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
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Bioimpedance measurement is non-invasive method used for body composition measurement. In order to
measure impedance of human body constant amplitude of current is injected into tissues. AFE4300 is a
low cost impedance spectrometer, developed by Texas Instrument. It contains two chains one is used for
weight scale measurement and other for body composition measurement. Only one chain is activated at
same time and other remains in off state. With the help of this impedance spectrometer it is possible to
perform FWR and I/Q demodulator. Single frequency measurement is done using FWR and Multi-
frequency measurement is done using I/Q demodulator. Single frequency measurement is done at 50
KHz, multi-frequency measurement is done at 8 KHz, 16 KHz, 32 KHz, 64 KHz and 128 KHz etc.
AFE4300 is new impedance spectrometer used to perform body composition, allow foot-to-foot
impedance measurement. With the help of AFE4300 EVM-PDK kit we can measure the various body
compositions parameters after that body composition analysis is done through various anthropometric
equations.
EYE GAZE TRACKING SYSTEM
Anita Pilaji Ghode, R.U.Yawale
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
Eye Gaze tracking and Detection is most important area in past years is research field and very useful in
variety of applications. Eye gaze tracking method is useful for physically disable people with loco-motor
disabilities who can not able to do their day to day activities due to their disability. Primary goal of
project is to find out the gaze point, then communicate this gaze point for motion of an object. Here we
use wheelchair as an object to be controlled by the eye gaze movement.
In Proposed system eye movement detection is take place by head mounted camera, output of
camera will be process to find gaze point the corresponding control signal send to motor driving circuit
which control the movement of wheelchair according to eye movement of person.
Performance evaluation of wireless communication system over different
fading channels.
Shreyasee Chougule, Dr.K.P.Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
In wireless communications, fading is variation of the attenuation of a signal with various variables. This
paper presents Bit Error Rate (BER) performance of Orthogonal Frequency Division Multiplexed signal
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under different fading channels in 16 QAM modulation scheme. OFDM is a method of encoding digital
data on multiple carrier frequencies. QAM is a signal in which two carriers shifted in phase by 90º are
modulated. A comparative study is carried out to obtain the BER performance for OFDM under various
fading channel condition to identify that which channel gives the best BER performance.
Simulation and Implementation of MIMO-OFDM System with STBC using
GNU Radio and USRP
Gauri Pandit, Dr. K.P. Patil
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
The combination of two technologies Multiple input multiple output (MIMO) and orthogonal frequency
division multiplexing (OFDM) can cater very high rate data transmission. MIMO provides increased
diversity gain without increasing the transmitting power whereas OFDM provides high data rates as it is a
solution for Inter Symbol Interference (ISI) caused in dispersive channels. Here, in this paper the system
performance of MIMO OFDM with Space time block coding (STBC) system is simulated using GNU
radio software, plotting diagrams of received symbols with and without noise, the FFT and waterfall
diagram. BER of the 2X2 MIMO OFDM system is measured and compared with theoretical BER results.
Also, OFDM system is implemented on USRP bus series using GNU Radio software and the results are
evaluated
Analysis and classification of EMG signal for controlled multifunctional
prosthetic hand.
Shinde Nikhil G, R.B.Kakkari
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
The main aim of the project is to create a cost effective prosthetic arm controlled by the surface EMG
signals which would facilitate the differently able with arms that they would love to get. To serve
differently able fellow beings by harnessing technology is our motto. The designed prosthesis is based on
the real-time learning method and the proposed real-time scheme consists of four basic units. They are
signal acquisition and pre-processing unit, feature vector extraction Unit, Pattern classifier unit and the
real-time trainer unit. The SEMG signals which originate from the residual muscles have low amplitude
of 100 μv for moderately contracted muscles. The SEMG signals are amplified and then band limited to
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bring it in the amplitude range of 1-10v, the signals are finally rectified to convert it into a dc signal. The
process of acquisition and processing is done by the pre-processing unit. The Feature vector unit
processes the signal and the feature vectors are extracted. Once the feature vector set is formed, it is fed to
the pattern classifier unit, where the neural network is employed for the non-linear mapping of the feature
vector to a control command. For learning the user characteristics, neural network uses the back
propagation algorithm. In order to get the exact mappings, the weights of the neural networks are
modified by real-time trainer unit which employs real-time learning. The process is repeated until the
control command generated is similar to the teacher vector from the user or the RMS value of the error is
reduced below the threshold value. Once the neural network is trained, it outputs the control command;
normally binary values are used to control the Prosthesis. The arm is driven through a set of motors
(either stepper or servo motors). The control commands are fed from the processing unit which controls
the motors which in-turn control the movement of the arm. Our design of prosthetic arm has one degree
of freedom and hence two actions can be carried out the former grabbing an object and the latter releasing
the object. The clockwise rotation of the motor will perform an action and the anti-clockwise rotation will
perform the second action. In this work, one degree of freedom is considered. This design will serve the
amputees and the same design can be extended to higher degrees of freedom similar to the human hand.
Design and Development of Vehicle Tracking and Monitoring System
Snehal Uttam Mahamulkar, R.U.Yawale
SINHGAD ACADEMY OF ENGG., PUNE [043]
ABSTRACT
India is the second most populous Country in the World and is a fast growing economy. It is seeing
terrible road congestion problems in its cities. Infrastructure growth is slow as compared to the growth in
number of vehicles, due to space and cost constraints. Nowadays, people expect more than vehicle quality
and reliability. With the rapid development of information and communication technologies (ICT),
equipping automobiles with wireless communication capabilities is expected to be the next frontier for
automotive revolution.
An advanced vehicle monitoring and tracking system is designed for monitoring the vehicle from any
location A to location B at real time and provide safety environment to the traveler. The proposed system
would make good use of new technology that based on Embedded Linux board namely Raspberry Pi and
its advanced feature of storing database at real time.
The proposed system works on Global Positioning System (GPS) and Global System for Mobile
Communication (GSM) which is used for vehicle tracking and monitoring mechanism. The GPS gives
current location of the vehicle and the GSM is used for sending alert message to vehicle’s owner mobile.
The proposed system would place inside the vehicle whose position is to be determined on the web page
and monitored at real time. Also if the vehicle’s speed goes beyond the specified value of the speed, then
also the warning message will be sent from system to the owner mobile. All this information is stored on
the web page at client or owner side.
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This system also features main attractive part that is automatic upper dipper system. System also uses
anti-theft system, it provides security before someone tries to steal it.
Main objective is to design a system that can be easily installed and to provide platform for further
enhancement.
Efficient Multiplier Desgin For DSP Application
Poonam Popatrao Kokate, Prof. V.G.Raut
SINHGAD COE, PUNE [023]
ABSTRACT
To propose a reliable low-power multiplier design by adopting algorithmic noise tolerant (ANT)
architecture with the fixed-width multiplier to build the reduced precision replica redundancy block
(RPR). The proposed ANT architecture can meet the demand of high precision, low power consumption,
and area efficiency. To design the fixed-width RPR with error compensation circuit via analysing of
probability and statistics. Using the partial product terms of input correction vector and minor input
correction vector to lower the truncation errors, the hardware complexity of error compensation circuit
can be simplified. In a 12 × 12 bit ANT multiplier, circuit area in our fixed-width RPR can be lowered
and power consumption in our ANT design can be saved as compared with the state-of-art ANT design.
High Performance VLSI Design Of Variable Latency and Aging Aware
Multiplier Using Adapative Hold Logic
Pratik Gurudas Chunarkar, Dr. M.B.Mali
SINHGAD COE, PUNE [023]
ABSTRACT
High speed and low power consumption is one of the most important design objectives in integrated
circuits. Digital multipliers can be categorized into critical functional units. Throughput of multiplier
design provides the overall performance of these system. Aging problem of transistors of these systems
has a significant effect on performance and in long term, the system may fail due to violations of timing.
Hence in this paper for reduction in maximum delay and power consumption, technique as design of
variable latency multiplier with adaptive hold logic is used. With proposed design of variable latency, the
multiplier gives higher throughput and can adjust the AHL circuit to diminish degradation of
performance that is due to the aging effect. Based on the idea of adaptive hold logic and razor flip flop,
the timing violations are reduced. With variable latency , clock cycles re-execution has been reduced.
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Autonomous Indoor Robot Using Vision And Simultaneous Localization And
Mapping
Amrutha Dilip Salunkhe, Prof. M.N.Kakatkar
SINHGAD COE, PUNE [023]
ABSTRACT
The problem of Simultaneous Localization and Mapping (SLAM) has attracted many researchers in the
field of indoor wireless mobile robotics. Localization, map building and wireless communication are
essential tasks for an autonomous mobile robot's in unknown environments. In general, SLAM algorithms
use odometers information and measurements from sensors of robots. The accuracy of these
measurements and the performance of the corresponding SLAM algorithm directly affect the overall
success of the system. Simultaneous Localization and Mapping is a strategy that utilized for making a 2D,
3D map of an unfamiliar environment from the sensor's information which will make the task of knowing
the position of the robot and the position of the different obstacle. Robot Mapping includes producing a
profile of obstacles around the robot. Through mapping, the robot will have a vision of the surroundings.
Localization is the process of estimating a pose of the robot relative to the map we build .Simultaneous
update of robot pose and linear feature estimates is performed through hybrid algorithm and this can be
achieved by comparing the most important solutions in position. Vision based features extraction
algorithm applies a rejection technique to concentrate on a reduced set of distinguishable, stable features
to make the data association easier and furthermore to reduce the number of landmarks to increase
computational speed and accuracy. It is intended to implement the proposed SLAM by hybrid algorithm
and vision based feature extraction algorithm using low cost Microsoft Kinect sensor, Arduino
microcontroller as embedded system, IMU, Laptop and Robot operating system to verify the feasibility of
the proposed methods as a indoor wireless mobile robot communicating with various indoor devices.
RSD Based Elliptical Curve Cryptography
Ashish Shrimant Yadav, Prof. M.M.Jadhav
SINHGAD COE, PUNE [023]
ABSTRACT
Cryptography is the practice and study of hiding information. The present challenges in the field of
cryptography are information security, confidentiality and data integrity. Elliptic Curve Cryptography is
based on the algebraic structure of elliptical curves over finite field. Redundant signed digits reduce the
overhead due to computations. A Karatsuba-Ofman algorithm is used for multiplication. An efficient
modular adder without comparison and a high throughput modular divider, which results in a short
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datapath for maximum frequency, are implemented. The architecture consists of control unit, instruction
set and ROM are the basic elements. This helps in increasing speed and reduces the computational
overhead. The encryption-decryption algorithm consists of 256 bits. The result is compared with NIST
databases. The ZYBO board is used for the implementation purpose as it is feature-rich and efficient for
real time application.
Real Time Image Stablization For FPGA Driven Mobile Robot
Snehal Annasaheb Shimpukade, Prof. S.C.Badwaik
SINHGAD COE, PUNE [023]
ABSTRACT
Mobile robots are used in crisis to get important informatics. The robots commonly convey a dream
framework to assemble data about the earth and pass on to remotely found protect groups. At the point
when the robot moves, in perspective of the uneven way of the territory, the camera is subjected to
vibrations and therefore, the transmitted recordings have a tendency to be hazy. Further, continuous
information gathering and preparing are basic for fast activity by protect faculty. In this project work, we
will investigate a strong and elite approach for video adjustment. Specifically, we build up a systolic
exhibit for intrigue point recognition and depiction, enter stages in the speeded-up strong components
(SURF) approach for discovering point correspondences between two pictures of a scene. The systolic
exhibit is then utilized as a major aspect of a pipelined engineering for video adjustment. The whole
engineering will be deployed on to a field-programmable gate array (FPGA) for constant video
adjustment on a versatile robot.
Learning Human Emotion From Body Gesture During Social Human Robot
Interaction
Diksha Arvind Shende, Dr. R.S.Kawitkar
SINHGAD COE, PUNE [023]
ABSTRACT
For social robots to be successfully integrated and accepted within society, they need to be able to
interpret human social cues that are displayed through natural modes of communication. In particular, a
key challenge in the design of social robots is developing the robot’s ability to recognize a person’s
affective states (emotions, moods, and attitudes) in order to respond appropriately during social human-
robot interactions (HRIs). It present and discuss social HRI experiments is conducted to investigate the
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development of an accessibility aware social robot able to autonomously determine a person’s degree of
accessibility (rapport, openness) toward the robot based on the person’s natural static body language.
Design and implementation of microcontroller for IoT application
Anuradha Murlidhar Nimase, Dr.D.M. Bhalerao
SINHGAD COE, PUNE [023]
ABSTRACT
One of the buzz word in the Information Technology is Internet of Things (IoT). In future IoT will
transform the real world objects into intelligent virtual objects. IoT aims to unify everything in our world
under a common infrastructure, giving us not only control of things around us, but also keep us informed
of the state of the things. Sensor node comprises of sensor, microcontroller and RF transceiver. A
microcontroller is a computer present in a single integrated circuit which is dedicated to perform one task
and execute one specific application. It contains memory, programmable input/output peripherals as well
a processor. Microcontrollers are mostly designed for embedded applications and are used in
automatically controlled electronic devices. Microcontrollers and field programmable gate arrays
(FPGAs) both are widely used in digital system design. Microcontroller based devices are becoming
increasingly widespread. On one hand, high speed, power and falling prices make them an obvious choice
whereas fast growing popularity of FPGAs, the availability of powerful development tools and the
increase in speed and high density have made FPGA-based systems an alternative choice Sensor node
controller is going to develop using VHDL with behavioral modeling which is an abstract model of
controller and break down of the system into subcomponents and functional blocks.
Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing
For Advance Communication Network Using MARKOV Chain Technique
Gauri Babanrao Maske, Prof. S.B.Mule
SINHGAD COE, PUNE [023]
ABSTRACT
On increasing demand of better communication Multiple Input Multiple Output Orthogonal Frequency
Division Multiplexing (MIMO-OFDM) is a novel multicarrier transmission technique which has been
proposed recently as an alternative to classical MIMO-OFDM. In this scheme, OFDM concept is
combined with MIMO transmission to take advantage of the benefits of these two techniques. Maximum
likelihood (ML), Minimum Mean Square Error (MMSE) of MIMO-OFDM are proposed and their
theoretical performance is presented for the implementation of 5G wireless networks. Knowing the
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possible channels that can be present in a transmission channel and applying Markov chains, it is possible
to implement a more realistic channel. This paper, based on project presents different scenarios in
suburban areas using Markov chain Technique.
High Performance CMOS Operational Transconductance Amplifier Using
Adaptive Bias
Aniruddha Narendra Bhokare, Dr. M.B.Mali
SINHGAD COE, PUNE [023]
ABSTRACT
The trend for battery-operated electronic equipment increased the importance of low-power circuit
design.Transistors operating in sub-threshold region consume less power and implementation of
operational amplifier using these transistors is crucial task. Full rail to rail input operation is achieved by
differential pair with complementary input configurations. A Class AB stage is employed to provide high
DC gain with very low power consumption. Adaptive bias circuitry of two level shifter is used to
increase the slew rate. All the transistors in the circuitry are biased in sub-threshold region Common
mode feed forward (CMFF) circuit is used to enhance the CMRR of operational transconductance
amplifier. This paper based on project presents operational transconductance amplifier (OTA) designed in
LTSPICE using 90nm DSM technology operating at low voltage 0.4V.
Last Meter Smart Grid Embedded In An Internet-Of-Things Platform
Narendra Kumar Rajwade, Dr. S.D.Lokhnde
SINHGAD COE, PUNE [023]
ABSTRACT
THE LAST-METER smart grid is the portion of the smart grid closer to the home, and the one with
which customers interact. It allows a two-way data flow between customers and electric utilities,
transforming the traditionally passive end-users into active players in the energy market. For working of
this project microcontroller, current sensor, RF module and raspberry pi has been used. The sensor will
collect the data form supply and send it to the microcontroller after that RF module will send the data to
the raspberry pi and through of it control the home appliances. Nontechnical customers need a simple way
to control energy consumption and production, and to exchange power usage data at the proper level of
granularity with energy providers or distributors.
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Comparison Of Classifiers Performance For Lesion Detection In Retina
Payal Bhujungrao Nimbhorkar, Prof. S.B.Patil
SINHGAD COE, PUNE [023]
ABSTRACT
Diabetic retinopathy is complication of diabetic that can lead to vision loss or blindness. So early
detection is important for saving patient vision. An automated screening system for computer aided
screening and grading for diabetic retinopathy can help to reduce the chance of complete blindness.
Fundus images with DR exhibits red lesion such as microneurysm, hemorrages, exdurates and cotton woll
spot. However various schemes for lesion detection appers but the report many false positives. detection.
They report some lesion as non lesion and also system are time consuming. Praposed system focused
exclusively on MA detection which is earliest sign of DR. Classifier such as Asoboost and SVM are
analyzed for classifying retinopathy lesion from non lesion.The main contribution of proposed work is
comparison of classifier with accuracy,sensitivity,specificity.
Graphene Based Component Design
Anant Hari Gambhir, Dr.D.M. Bhalerao
SINHGAD COE, PUNE [023]
ABSTRACT
Graphene is two-dimensional honeycomb lattice of carbon rings. Graphene is the emerging material in the
field of electronics and nanotechnology. After studying various properties of graphene, researchers
identified that this material would replace Silicon and make devices faster and easier to manufacture.
Generally graphene remains highly stable and conductive even when it is cut into devices one nanometer
wide. In this paper, MOSFET gets introduce in which graphene material is used. The goal behind this is
to compare current-voltage characteristics of graphene MOSFET with generalized MOSFET i.e Silicon
MOSFET. Also study and analysis of various parameters will be done, so that benefits of grapheme over
silicon will come to know.
IOT Based Health Care System
Sneha Narendra Malokar, Prof. S. D. Mali
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SINHGAD COE, PUNE [023]
ABSTRACT
Generally in critical case patients are supposed to be monitored continuously for their Heart Rate, oxygen
saturation level and temperature as well. In the previous methods, the doctors need to be present
physically on sight or in several cases SMS will be sent using GSM. In the earlier case only current data
is displayed, the history of the patient cannot be displayed. In the current paper, with the help of
Raspberry Pi we developed the system and technique used for health care monitoring system where
doctor can continuously monitor the patient's physical parameters like temperature, blood pressure, pulse
oximetery and oxygen saturation level on his smart phone. For the secure data transformation, AES
Algorithm is used. Also the patient history will store on the web server, doctor can access the information
whenever needed from anywhere.
Grain Condition Monitoring And Controlling System
Anita Machhindra Jadhav, Prof. M.N.Kakatkar
SINHGAD COE, PUNE [023]
ABSTRACT
Today, India ranks second worldwide in agriculture.There is production like rice, sugar, wheat, Bajara
Etc. So we have to monitor and control their quality according to their size, color and chalkiness for the
packaging section. Product value of agriculture product depends on its quality and value. So quality
become dominant factor in the agricultural production. There is system that measure the quality of
product as the testing is done by human, so it is not reliable at the all-time of its working hour because of
the human limits. so we have developed the embedded solution with the help of image processing to do
sorting of grains.Here we can estimate their quality using the simultaneously taking frame and applying
the image processing algorithm for that frame and get results as the quality of the grains.Raspberry PI is
suitable for adaptive technology. For the testing purpose we have selected the rice as the testing product
and testing parameter are the whiteness, size, physical defect and color defect.
Breast Cancer Detection Using Mammographic Images
Amruta Balasaheb Jadhav, Dr. S. R. Ganorakar
SINHGAD COE, PUNE [023]
ABSTRACT
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Cancer is the second leading cause of death in developed countries and the third leading cause of death in
developing countries. One in every eight deaths worldwide is caused by cancer. There is no effective way
to prevent the occurrence of breast cancer. Therefore, as it is well known, early detection is the first
crucial step towards breast cancer diagnosis and treatment.
In terms of medical diagnosis, X-ray mammography is currently the most common technique used in
clinical practice due to its low cost and accessibility. it provides high sensitivity on fatty breast and
excellent performance on micro calcification detection. X- rays are used as diagnostic tool in
mammography for the examination of human breast. These examinations are recorded as specialized
images which are then observed by radiologists for any possible abnormality. It consists of two methods.
One is K-Mean Clustering Algorithm and other one is Fuzzy C-Mean Algorithm.
Data Transmission Using Mobile to Mobile Communication
Jitesh Rajendra Sharma, Prof. M.M.Jadhav
SINHGAD COE, PUNE [023]
ABSTRACT
Mobile-to-Mobile communication is used for information sharing between end user without involvement
of base station network. The various challenges found in M2M communication is to increase the spectral
efficiency and reduce the communication delay. In this paper an Android base (Tool kit 4.0) application
on Java platform is developed to share information between M2M pairs. This will help to share the user
information using wi-fi or Bluetooth. Further, intelligent user selective resource allocation algorithm is
implemented to avoid interferences between pairs. Finally the result are compared with existing LTE
links. The result obtained shows that total achievable capacity of LTE network is significantly enhanced
by proposed M2M communication.
Interface for Industrial WSN in IoT Environment using A Reconfigurable
Smart Sensor
Akshay Awachar, Prof.P. R. Dike
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
A sensor interface contraption is fundamental for sensor data collection of present day remote sensor
frameworks (WSN) in IoT conditions. In this paper, to handle these issues, another technique is proposed
to diagram a reconfigurable quick sensor interface for mechanical WSN in IoT condition, in which
complex programmable reason contraption (CPLD) is held onto as the enter controller. The contraption is
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merged with the most a la mode CPLD programmable development and the standard of IEEE1451.2
adroit sensor specific. Execution of the proposed framework is confirmed and great impacts are
accomplished in practical utilization of IoT to water condition checking.
Analysis and Simulation Model for Edge Detection on FPGA
Girija Anuse, Prof.S. V. Shinde
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
Edge detection is one of the important stages in image processing. The Sobel edge detection algorithm is
the most widely used edge detection algorithm due to Characteristics. In this Project we extract the shape
analysis by using the Edge detection operators like Prewitt, Sobel and Canny operators.
The software is implemented using MATLAB, also the Sobel edge detection algorithm is implemented
and presented on Spartan3E (XC3S1600E) FPGA by ISE12.1. This paper mainly used the Sobel operator
method to do edge detection processing on the color images. It has been proven by the results we have
obtained that the edge detection mathematical method using MATLAB software and FPGA is very good
in the analysing the image and the results reach to 99%. A 256×256 Gray Scale input image is used in
this work. We demonstrate synthesis benefits using a Sobel Edge Detection algorithm and target a
heterogeneous architecture of Blackfin processor and Spartan3E FPGA. The synthesized solution is 2.68x
faster (and energy efficient) over pure SWexecution. In this project we extract the shape analysis by using
the Edge detection operators like Prewitt, Sobel and Canny operators.
Hardware Employment of an IR-UWB Coordinator Node for WBAN
Applications
Ananta Wawge, Dr. D. D. Chaudhary
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
IR-UWB correspondence frameworks have affected toward turning into documented for Wireless Body
space Network (WBAN) applications as recently. This paper exhibits the advance associate degreed
testing of associate degree IR-UWB organizer hub that comes with an IR-UWB beneficiary front-end and
a Field Programmable Gate Array (FPGA) based mostly controller. The IR-UWB beneficiary front-end
down changes over the high repetition (3.5-4.5 GHz) IR-UWB beats utilizing a liquidizer and a Voltage
Controlled generator (VCO) into effortlessly discernible base band beats. IR-UWB beat synchronization
is actual utilizing the FPGA. The execution of the recipient hub is tentatively assessed by leading Bit
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Error Rate (BER) examination for associate degree on-body to off-body correspondence state of affairs.
The BER comes concerning demonstrate that a BER of 10-4 is doable for a variety separation of 1m
utilizing the IR-UWB organizer hub represented during this paper.
Implementation of ARM Processor using FPGA
Shefa Butt, Prof. Pravin Latane
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
These days application particular delicate processor centers are picking up significance for FPGA based
installed application in which client can design the processor according to necessity. The structural
straightforwardness of ARM processors makes them reasonable for low power applications. Equipment
depiction dialects (HDLs) are generally used to develop equipment framework. FPGA gives
reconfigurable stage, so reuse of the outline is a typical practice to enhance the efficiency these days. In
this paper the information handling guidelines of ARM processor areactualized utilizing Very rapid
coordinated circuit Hardware Description Language (VHDL) dialect and confirmed by applying test seat
on Xilinx's Spartan III based FPGA.
Implementation of Digital Filter Application With Lns Mac Unit
Sachin Thakur, Dr. M.S. Gaikwad
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
The logarithmic number structure (LNS) is a viable way to deal with address data in VLSI processors
since its round-off misstep direct takes after that of floating point calculating. LNS diminish the power
spread in banner planning related application, for instance, listening gadget devices, video dealing with
and botch control. This paper presents methodology for low power extension/subtraction in the LNS and
assesses their impact on cutting edge channel VLSI execution. The proposed frameworks can be
connected with co-change based circuits that use interpolators. The results are appeared by evaluating the
power dissipating, eccentrics and execution of a couple FIR channel game plans containing one, two or
four MAC units. Xilinx ISE is used for the multiplication of put and directed VLSI LNS-based
automated.
Keywords -- LNS, MAC, Addition, Subtraction, Field programmable gate array (FPGA).
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ECG Signal Noise Reduction Using FPGA
Dipeeka Kalamkar, Prof. S.S. Patil
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
Abstract- Electrocardiogram (ECG) flag is utilized as a part of medicinal and social insurance field to
check the heart beat rate of patient to analyze different sorts of sicknesses. This work expects to execute
choice that fulfills the prerequisite about framework adaptability, versatility, speed upgrade and lower
equipment cost. Already some work is done utilizing MATLAB device yet this work proposes ECG flag
sifting utilizing VHDL. It is seen to have created better sifting outcomes with change in the style of
middle channel. Memory prerequisite is additionally diminished by lessening channel window measure.
Additionally, middle channel is exceptionally productive in evacuating motivations.
Keywords- ECG, QRS, VHDL, Median filter, Savitzky-Golay filter, Averaging filter.
IMPLEMENTATION OF MQTT PROTOCOL USING WIRELESS
SENSOR NETWORK
Gauri Swami, Prof..D.K.Shende
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
The Internet of Things (IoT) is between frameworks organization of various devices like vehicles,
structures and can be embedded with equipment, programming and sensors. The central target is to have
sensors work helpfully without human intercession to pass on new applications, which can accumulate
and trade data over framework. This paper starts giving an audit of IoT and execution of MQTT tradition.
MQTT is a machine-to-machine (M2M)/"Web of Things" system tradition. It was arranged as a to an
awesome degree lightweight appropriate/subscribe illuminating transport. It is open source, clear, and can
be illustrated in such way that, we can without a doubt realize it in introduced contraption based
applications. It is useful for relationship with remote ranges where a little code impression is required and
also framework information transmission is at a premium. Here we have used the sensors like gas sensors
and load sensors for distinguishing proof.
Keywords: IoT, MQTT, M2M, WSN, TCP.
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FPGA Implementation of Discrete Wavelet Transform Using Distributed
Arithmetic Architecture For Image Compression
Shruti Mhaske, Prof.P.C.Latane
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
Discrete Wavelet Transform (DWT) is utilized as a part of flag pressure and improvement applications.
DWT could be executed utilizing recursive Finite Impulse Response (FIR) sifting. DWT is an
exceptionally viable investigation device for some pragmatic applications. Because of computational
serious nature as a result of duplicate operations being a piece of, ongoing handling of signs is being an
intense undertaking, as the usage are not advanced. This paper portrays execution of DWT utilizing
Distributed Arithmetic Architecture (DAA) on FPGA gadget and an original thought for usage of
Decimator capacity. The Low Pass FIR channels (LPF) and High Pass FIR channels (HPF) utilized as a
part of DWT are executed utilizing DAA. Reproductions and blends are finished with Spartan 6 FPGA
gadget condition.DAA based DWT framework makes utilization of just LUT cuts. DAA based
framework gives a throughput of 301.761Mbit/s, a metric which limits DAA based DWT to low speed
applications.
Implementation on Garbage Collection System in Smart City using Wireless
Sensor Network
Pushpanjali Singh, Prof. S.S Bhardwaj
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
Fast increment in populace and industrialization has prompted an expansion in every day era of waste in
urban focuses of a few nations which was evaluated to be a large number of tones. This waste is
additionally grabbed by the metropolitan enterprises to at long last dump it in dumping regions and
landfills. Be that as it may, because of absence of assets, insufficient preparation, some waste is not
gathered which postures genuine wellbeing peril to the encompassing condition. The arrangement is the
Garbage gathering framework in savvy city and solid security framework utilizing remote sensor
organize. This paper is an introduction of the outline and execution of an incorporated strong waste
administration framework. The framework expects to adroitly deal with the waste gathering which will in
the long run enhance the territory and have a sound encompassing to live. It remotely screens and controls
the gathering of civil strong waste giving continuous criticism, connecting the district with the group.
Likewise examinations the information and creates enhanced course to gather all the refuse on time and
also spare fuel and cost. Web of Thing will help for legitimate handling of rubbish.
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Key words: ARM7 Processor, Ultrasonic Sensor, PIR Sensors, Buzzer.
Single Image Super Resolution using an FPGA
Priya Nachan, Prof. A.A.Labade
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
There is a developing interest from various business and military applications for pictures with regularly
enhancing spatial determination. Nonetheless, there are determination restricting variables inalienable in
all imaging frameworks. Diminishing pixel sizes as well as expanding sensor exhibits are not generally
suitable. Super-Resolution (SR) Image Reconstruction is a picture handling strategy that reestablishes a
high-determination (HR) picture by adding pixel in neighboring network to low-determination picture. As
of late, there has been broad research on powerful SR calculations utilized for post - handling. The
objective of this proposition is to investigate the momentum SR research and plan computationally
proficient SR calculations for ongoing preparing in view of a non-uniform extra approach.
SATELLITE IMAGE COMPRESSION USING CDF BASED LIFTING
SCHEME
Mohini Raut, Prof. Rajendra V Babar
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
Two Dimensional discrete wavelet change (DWT) is utilized as a part of picture and video pressure. The
info picture is required to be decayed into multilevel DWT to accomplish higher pressure proportion. The
multilevel 2-D DWT is being exceedingly calculation serious and memory-escalated, is actualized in
extensive scale incorporation (VLSI) framework to meet the worldly necessity of ongoing applications.
Because of its steadily increasing utilization in high information rate correspondence and capacity,
through convenient and hand-held gadgets, VLSI execution of 2-D DWT is subjected to an arrangement
of inconsistent limitations,the silicon region and power utilization alongside its base handling speed for
constant calculation. A few models have, thusly, been proposed over the most recent couple of years for
imperative driven VLSI execution of 2-D DWT. The outcomes are introduced for the satellite picture.
The proposed technique steps are talked about before. This strategy is technique takes after the wavelet
based JPEG2000 standard. The best PSNR is accomplished is 29.81dB. Itemized investigation of pressure
and the recreation is displayed in this work. The strategy is actualized utilizing Xilinx FPGA.
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FPGA Based Impulse Noise Suppression with Reconfigurable Architecture of
Adaptive Median Filter
Shital Nikam, Prof. R. V. Babar
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
The reconfigurable architecture of adaptive median filter with low complex hardware is proposed and the
analysis of results of adaptive median filter and median filter is presented. It is required for removal of
impulse noise mainly salt & pepper noise from digital Images with an efficient development of median &
adaptive median filter. Performance is measured using mean square error (MSE) and peak signal-to-noise
ratio (PSNR) followed by comparisons. The hardware implementation is highly required for real time
execution. For the implementation of AMF Field Programmable Gate Arrays (FPGAs) are widely used
for real time processing where the requirements of time, speed, area, power become strict. The algorithms
of Median and AMF filters are discussed in detail which is followed by FPGA based solutions.
Simulation is done using XILINX platform studio where the implementations utilize on FPGA 3EDK
Board.
64 Bit Multiplier using Vedic Mathematics for DSP Application
Bhagyashree Parkale, Prof. V.V.Deotare
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
In modern days Digital Signal processors are one of the fastest growing segments as it has many
applications in the various fields of engineering disciplines like Audio Signal Processing, Image
Processing, wireless application etc. Like all other processors, a successful DSP processor should have
maximum speed, higher code density and low power. For many DSP application specific processors
speed is the major concerned parameter compared with other useful parameters like area and power. In
the frequently used functions like Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT),
multiplication is the important function carried out internally. When we consider the speed of execution
of these functions, the easiest way for the improvement is to enhance the performance of the multiplier
units. T hus the implementation of fast multiplier will improve the performance of the current processors.
Vedic mathematics based on ancestral Indian Vedas gives a different multiplication algorithm to carry out
fast multiplication. In emerging technological world the data handling capacity is an important factor. So
the implementation of a high end processor can make significant impact in the technological world. T his
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paper proposes a new architecture for high end processor which gives better performance than existing
architectures. In this work digital coding is done in Verilog HDL, synthesis of the design is done by using
Xilinx ISE 14.7 and Cadence encounter RTL Compiler. Analysis of implemented digital system is done
by using powerful cadence tool Encounter. Finally in this paper we analyse how speed and area changes
when the number of bits increases.
REAL TIME PARKING GUIDANCE SYSTEM
Pooja Powar, Prof. Rajendra V Babar
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
The objective of this project is to design a real time parking guidance system based on Raspberry pi
microcontroller which also enables use of Internet of things for additional applications. Basic goal of the
system is to detect incoming vehicles in parking area and to upload the information of the same on server
created. The system provides real time information of vacant slots so that the efforts of drivers for finding
empty parking slots are reduced. A raspberry pi board is a heart of the system. IR sensor is used to detect
the vehicles and the information is send to raspberry pi controller and later it is uploaded to a server.
Users will be given a user ID and password and they can access the information through server. This logic
can be extending to display the information of vacant parking slots on a display board at the entrance of
parking area. The system also contains two more security measures which are fire alarm and safety
switch. Fire alarm will sense the change in temperature and after certain point if fire is detected then
buzzer will start and alert message will display on server. For safety switch, if someone in parking area is
in trouble especially any women then they will press the switch and buzzer will start and EMERGENCY
message will display on the server so that related staff will take care of the situation. Also when it will get
dark in parking premises, lights will automatically get turn ON. So basically it is advanced and real time
system with security measures which not only is a parking guidance system but also acts as a basic
security system for parking areas.
DESIGN AND DEVELOPMENT OF ANDROID APP BASED SMART
HOME
Prashant Pawar, Dr. D.S.Mantri
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
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Now a days the automation in every field is becoming necessary. The service provider for energy still
uses conventional methods for getting the energy consumed by individual customer. The proposed system
automatically reads the energy consumed and sends it to the service provider using the GPRS with
Internet.
In this paper, we discuss Automatic Meter Reading system using GSM/GPRS. This system is used with
32-bit LPC2148 ARM microcontroller used for reading power consumption and communicates this data
to the central server. In utility center power data processing is done. The communication between central
server and an ARM based embedded system is done with the help of GSM/GPRS. Measurement of static
parameters such as current, voltage and power, bill management are done with the help of power data.
The control system includes relay circuit which are used for disconnection or resume the power supply.
SECURE ONLINE PAYMENT WITH ARM TRUST ZONE
Neha Uday Patil, Prof. P.A.Kamble
SINHGAD I.T. LONAVALA, PUNE [42]
ABSTRACT
A fast development in E-Commerce market is found in late time all through the world. With always
expanding prevalence of web based shopping, Debit or Credit card extortion and individual data security
are significant worries for clients, shippers and banks particularly on account of CNP (Card Not Present).
This paper introduces another approach for giving restricted data just that is essential for reserve
exchange amid internet shopping utilizing arrangement of cloud framework with the assistance of
Raspberry Pi ,accordingly protecting client information and expanding client certainty and avoiding
wholesale fraud. The strategy utilizes consolidated use of steganography and visual cryptography for this
reason. The issue with cloud-based arrangements is that servers are profoundly open through the Internet
and hence extensively presented to programmers and malware. In this paper, we outline and execute
Darkroom, a protected picture preparing administration for the cloud utilizing ARM TrustZone
innovation. Our framework empowers clients to safely handle picture information in a protected domain
that anticipates presentation of delicate.
Detection of pothoes and humps on roads to aid drivers
Patil Tushar Dattatraya, A.B. Kanawade
SINHGAD IoTS,NARHE, PUNE [057]
ABSTRACT
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The maintenance of the road is one of the major problems in the developing countries. Well maintained
roads contribute a major portion to the country’s economy. Identification of pavement distress such as
potholes and humps not only helps drivers to avoid accidents or vehicle damages, but also helps
authorities to maintain roads. Pothole detection methods have been developed to provide a cost-effective
solution to identify the potholes and humps on roads. It provides timely alerts to a driver which helps
them in avoiding accidents or vehicle damages. Ultrasonic sensors are used to identify the potholes and
humps and also to measure their depth and height, respectively. The proposed system captures the
geographical location coordinates of the potholes and humps using a Global Positioning System (GPS).
The sensed-data includes pothole, hump, and geographic location, which is stored in the Google spread
sheet. This serves as a accurate source of information to the Government Authorities and vehicle drivers.
An Android application is used to alert drivers so that precautionary measures can be taken to evade
accidents. Automatic detection of potholes and hums is done using Raspberry Pi - 3. Alcohol sensor,
temperature sensor, fuel sensor data is in analog form. It is converted into digital value by using MCP
3204 ADC. These sensor values are display in web page of Raspberry Pi.
Wireless Power Transfer surpassing Efficiency
Ruta Dilip Shewale, Upasani D.E.
SINHGAD IoTS,NARHE, PUNE [057]
ABSTRACT
Wireless Power Transfer (WPT) is nowadays visible to us in many different areas of technology and in
many different forms and types. The technological areas vary from the crucial biomedical technology to
commercial products such as wireless electric vehicle, wireless charging units and many more. Wireless
transmission is useful in cases where instantaneous or continuous energy transfer is needed but
interconnecting wires are inconvenient, hazardous, or impossible. The wireless energy transfer gets
unique in its area of technology because of its efficiency which is the most important parameter under
consideration. This makes the wireless energy transfer different from other information transfer methods.
Wireless power systems for near field energy transfer, are typically classified as either inductive or
resonant. The wireless power transfer surpassing efficiency is the optimum technique to transfer the
power wirelessly and power up the low power devices such as Mobile phones, small fans, and any micro
controller unit. The wireless power transfer method includes a transmitter unit with an output coil which
transfers energy wirelessly to the receiver which will charge the low power devices.
Smart Grid in Internet of Thing Platform
Shaikh Asif Ismail Shaikh, S.P. Dhanure
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SINHGAD IoTS,NARHE, PUNE [057]
ABSTRACT
An electricity meter, electric meter, or energy meter is a device that measures the amount of electric
energy. Accurate metering, detection of energy theft, implementation of proper tariff, energy management
as well as automatic billing systems are the major objectives of the project. These objectives can be
achieved by using Smart Meters. Considering this, a microcontroller based Smart Meter using wireless
communication and IoT is proposed. These electric metering systems are more accurate measuring
devices as compared with the conventional one. Automatic Meter Reading (AMR) has a capability to
automatically transmit data in real time. This increases the reliability of the metering system. The
Wireless Automatic Meter Reading (WAMRS) is the networked meter-reading system that consists of
terminal measure meters. Proposed Work includes a small light weight web server designed on
Raspberry-Pi board, which will make the system to work much faster. AMR allows easy saving of energy
through meter reading, priority scheduling of loads when it crosses the given threshold, greater data
accuracy; improved billing speed and many more consumer services. The PIC microcontroller and
ZigBee are used to transfer the meter reading wirelessly. At the receiver side, Raspberry is used to send
the value of power consumption from meter to PC. LCD displays the value of meter reading
TRIAC/DIAC control current at the load side.
Two wired Electromagnetic Flowmeter
Kulkarni Pradnya Mahesh, Dr.S.N. Mali
SINHGAD IoTS,NARHE, PUNE [057]
ABSTRACT
A study of flow measurement of electromagnetic flow meter is proposed in this project. Electromagnetic
flowmeter is one of the velocity type flowmeters. These flowmeters are said to be the best solution in
many applications, because they measure the average velocity even when the filling of the channel varies
and the local streams fluctuate. The liquids from the flow meter must be conductive liquids from chemical
or petrochemical industries (Slurries). This project presents a quantitative comparison of a trial that
modifies the inner product. The presented methods will be tested using simulators. Excitation of coil
phenomenon is used in the project. Positive displacement on display indicates flow of liquid in forward
direction while negative displacement on display indicates flow of liquid in reverse direction. It is a kind
of flow detection system which works on Faraday’s law of Electromagnetic induction.
Detect Data Dissemination in Vehicular Cloud System
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Priyanka Shankar Mane, Dr.S.N. Mali
SINHGAD IoTS,NARHE, PUNE [057]
ABSTRACT
Worldwide, vehicles have become a very significant means of transport in which results into a huge
number of cars that are owned in various cities, in turn traffic congestion and pollution leads.In particular,
vehicular cloud systems have received abundant interest for the ability to offer a variety of vehicle
information services. This project puts an eye on various techniques as far as the Smart Parking System
(SPS) is concerned which are already implemented. In looking after this parking issue, big number of
authors contributed a lot in monitoring SPS and management of SPS with the help of various technologies
including wireless sensor network, Bluetooth, ZigBee, Radio Frequency Identification (RFID), Global
System for Mobile Communication (GSM), Cameras, Image processing, Internet of Things (IoT)
accompanied by a number of software solutions based on mobile application. In this project, we devise a
vehicle route-based data prefetching scheme, which maximizes data dissemination success probability in
an average sense when the size of local data storage is limited and wireless connectivity is stochastically
unknown. The proposed algorithms can achieve efficient data dissemination in a variety of vehicular
scenarios.
IoT based Traffic Light Control System using Raspberry Pi
Elizabeth Basil, Prof. S. D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Congestion in traffic is a serious issue. In existing system signal timings are fixed and they are
independent of traffic density. Large red light delays leads to traffic congestion. In this paper, IoT based
traffic control system is implemented in which signal timings are updated based on the vehicle counting.
This system consists of WI-FI transceiver module which transmits the vehicle count of the current system
to the next traffic signal. Based on traffic density of previous signal it controls the signals of the next
signal. The system is based on raspberry-pi and Arduino. Image processing of traffic video is done in
MATLAB with simulink support. The whole vehicle counting is performed by raspberry pi.
Grain Quality Detection by using image processing for public distribution
Deepika Sharma, Prof. Sharad D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
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ABSTRACT
In our life food is necessary for nourishment and sustenance. There are some additional
impurities present in the food such as stones, damaged seeds, broken granules which affects
the composition and the quality of food. Determining the quality of grains is a big challenge.
Wheat and rice are used by most of the population across the world. In this paper, we have
proposed a system that determines the quality of food. Initially, the grain samples run on the
conveyor belt and then random images of grains are captured by the camera. The image
processing algorithm is applied on the grain samples through MATLAB. The classification has
been done according to colour, shape and size. It results good, bad and medium quality by
using Neural Network (NN) classifier. The final output id displayed on the LCD also the message
will be sent to the higher authority through GSM module. This system can be implemented in
food industries at later stage for grading purpose which will make the task of classification of
the grains simpler for the public.
FPGA Based Implementation of ECG Data Compression
Sagar Balabhau Kale, Prof. D. H. Gawali
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Even today, after the duration of century past over to the invention of electrocardiogram (ECG), it is still
the primary choice of physician for diagnosis of cardiac diseases patients. Variety of portable ECG
telemonitoring solutions are now available in market those allow ECG monitoring when patient is on his
daily routine. But long-term continuous monitoring generates large amount of data which leads to large
storage requirement and ECG data transmission became power hungry. Hence ECG data compression
plays important role in portable ECG telemonitoring solutions for reducing the storage requirements and
power efficient transmission of ECG data. In this paper Field Programmable Gate Array (FPGA)
implementation of ECG data compression is presented. Verilog is used as hardware description language
(HDL) to describe dynamic bit allocation based real-time ECG data compression algorithm during
implementation. Vertex-5 FPGA is used as hardware platform during synthesis and implementation. To
analyze ECG data compression efficiency and reconstructed signal quality, decompression is done in
MATLAB.
Smart Shopping Cart With Energy Harvesting
Prasiddhi Kauitk Khairnar, Prof. D. H. Gawali
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Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
An unconventional novel product which is accepted by the society is the one that
brings contentment, satisfaction with benefits and coherence in day to day life of a common
man. Features incorporated in proposed system are Product Detection (PD); Product
Recommendation (PR); Budget Setting (BS); Automatic Billing (AB) and Energy Harvesting
(EH). PD is used to detect the product placed in shopping cart using RFID technology,
meanwhile PR facilitates providing relevant product information and ongoing offers.BS helps
to set the budget if purchase cost reaches the budget value a buzzer buzzes. AB generates the
bill as soon as the cart reaches the billing counter server through RF communication. EH is the
technique which makes use of human efforts applied for moving a cart to generate electric
energy, were the rotational motion of wheels of a cart is converted to electrical energy and a
battery is charged.
Travolution- System for road safety
Subodh Babasaheb Kharat, Prof. S. D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Numbers of vehicles on the road are continuously increasing since few decades. The boost in
the vehicles causes the increase in the road crashes in the developing countries like India. The safety
on the road has become a vital issue as it direct affects the human life. Several times the people are
facing the severe injuries due to the accidents and hence it is really important to develop the system
to avoid the road accidents. In India every day more than 1200 accidents are recorded which causes
more than 375 deaths every day. Every 3 minutes a person is losing life in India. These statistics gives
a complete idea about the severity of the problem and hence the need of time to implement the
system to avoid such accidents. Thus the system have designed and implemented for the road safety
in order to avoid accidents. The features that are proposed in this work are: automatic collision
notification that gives notification about accident to the victim’s relative, Red light traffic control
makes sure vehicle doesn’t break signal, Speed control alters speed in different zones and prevent
vehicle from entering no entry zones, Horn control prevents no honking in horn prohibited zone and
Alcohol detection detects drunk driving.
FPGA Based Implementation of Blowfish Algorithm
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Shraphalya Balu Nalawade, Prof. D. H. Gawali
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Security is important issue during communication and data transmission. There are many ways to
provide. One method to ensure security is the use of cryptographic algorithms like DES, AES, RC5,
Blowfish etc. Cryptography is a method used for encoding the data which is being hacked by the
unauthorized person. In this paper Blowfish algorithm is designed using VHDL (Very High Speed
Integrated Circuit Hardware Description Language) programming language and simulated using Xilinx
ISE 14.5 design suite. The purpose of this system is to improve performance of Blowfish algorithm. The
Virtex-5 XC5VLX50T FPGA device used for synthesis of Blowfish algorithm. The simulation results
show the minimum utilization of device resources which results in better performance and provide better
range of security than other existing security algorithms.
Circuit board defect detection using image processing and microcontroller
Priyanka Ashok Nikam, Prof. S. D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Printed circuit board (PCB) plays an important role in various electronics products. Errors are the
unavoidable quantities which must be resolved in order to achieve an efficient result and best quality.
This paper suggests a basic and simplest method to quickly locate and detect the defects on printed circuit
board which is termed as subtraction method. In this method, live image acquisition and inspection of
circuit board is designed. The digital image preprocessing method is carried out on images. Subtraction
method is used for comparison and matching of reference image and defect image of circuit board.
Missing holes and missing paths can be detected and classified accordingly, to ensure quality and security
Printed circuit board defect must be identified, the aim is to examine these quality issues timely.
Abnormal Activity Detection for Security Purpose by using image processing
Sharayu Sadashiv Phule, Prof. S. D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
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The detection of unusual activity in different crowded surroundings is crucial intended for personal safety
of the in localities like shopping centers, airports and many others. The document reveals to recognize one
of the unfamiliar actions in a place with group of people. The action of identification of unusual object
detection may also be used for several people programs such as the crime investigation, security practices
and anti terrorist supervision. In almost all monitoring devices, the digital camera is fitted with track
record these kinds of that the foreground objects could possibly be plucked from digital camera
subtraction method. This system is designed for the detection of abnormal activity. As the people should
take possible actions for the prevention of dangerous events. Here, input will be a video and output by
system would be the classification of abnormal activity/object. This object can be a bag or a parcel with
specifications of dimensions. For classification of object support vector machine is used for accurate
results.
Smart Farm Monitoring and Controlling System Using IoT and Android
Phone
Shweta Bhaskar Saraf, Prof. D. H. Gawali
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Natural water resources are precious for human welfare. Internet of things (IoT) is an attractive solution
for better management of natural resources. The proposed system is arduino based smart farm irrigation
system which uses the android phone for remote control and monitoring of the drips via wireless sensor
network. The data from a sensor node is sent through Zigbee wireless communication modules to base
station. The data from base station is stored on the cloud server via Apache Tomcat web hosting
application. The controlling decision is taken by server using irrigation algorithm to control irrigation.
Real time sensed data handling and demonstration on the server is accomplished using web based java
graphical user interface. Wireless monitoring of field irrigation system allows user to reduce human
intervention. This method has the ability to be incorporated into an automated drip-irrigation scheme,
precision agriculture in conjunction with de-centralized water control.
FPGA Based Design and Implementation of FIR Filter For ECG Signal
Processing.
Harshal Bhagwanrao Shingne, Prof. D. H. Gawali
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
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A clean ECG (Electrocardiogram) is very important to detect many diseases. ECG signal can corrupt by
various noises in real time situations. Mainly ECG is corrupted by Baseline wander, Powerline
Interference, and High frequency noise. These types of noise are present at different frequency range of
ECG signal. There are various filtering techniques available for removing these noises. This paper
proposes cascading of Kaiser Window based FIR filter which can remove Baseline wander noise,
Powerline Interference and EMG (Electromyogram) effectively. The ECG database has been taken from
Physio.net. The proposed FIR filter has been implemented in Xilinx ISE by using VHDL.
FPGA-based beat detection of ECG signal using Histogram approach
Akanksha Agrawal, Prof. D. H. Gawali
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
Heart is the most vital organ of the human body. Its proper functioning determines the status of the person
and analyzes the patient’s disease. This diagnosis is done by a very old-school method called
Electrocardiogram (ECG). An ECG signal comprises of PQRST peaks. This paper proposes a method to
detect and identify these peaks from a noise free ECG signal and it’s achieved with the help of histogram
based algorithm. MIT-BIH noise stress test database from physio.net has been used for testing. This is a
very simple method. The method is chosen as it can analyze ECG signal without using any complex
mathematical model. The algorithm has been implemented and tested in MATLAB and further Field-
programmable gate array (FPGA), SPARTAN-6 is utilized as hardware platform with VHDL RTL coding
on Xilinx 14.7 ISE design suite for peak detection purpose.
Animatronics Hand using wireless module
Sanket Brahmadev Patil, Prof. S. D. Sawant
Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]
ABSTRACT
This paper discusses the layout and implementation of a wireless animatronics hand using NRF module
and Arduino UNO board. The main aim of this paper is to present an acquisition method that
comprehensively looks for the mimic configurations of the human hand.We can use it as shadow hand of
ours which is of various uses.In many applications instead of using actual human hand, we can replace it
by this wireless robotic hand. We may allow this robotic hand to complete the harmfull task so that the
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risk will be avoided.The gadget/ digital product turned into applied the usage of control glove, micro
servo motors, NRF module and Arduino-UNO board having on-board Atmega-328.
Adaptive Weiner Filter for Speech Enhancement Under Various Noisy
Conditions
Akash A. Salmuthe, Agrawal R K
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
The performance of a noisy speech enhancement algorithm depends on the estimation of the priori signal-
to-noise ratio (SNR). The most commonly used approach to estimate the priori SNR parameter uses
Decision-Directed (DD), Two Step Noise Reduction (TSNR), Harmonic Regeneration Noise Reduction
(HRNR) method in Adaptive Weiner filter. A method called two-step noise reduction (TSNR) technique
which solves this problem while maintaining the beneﬕts of the decision-directed approach. The
problem of harmonic distortion that introduced in traditional short time noise suppression methods,
especially in low signal-to-noise ratio (SNR) noisy environments. A simple but effective harmonic
regeneration method called Harmonic Regeneration Noise Reduction (HRNR) is used to solve this
problem.
Abandoned Object Detection Via Temporal Consistency Modeling And Back-
Tracking Verification For Visual Surveillance
Dhananjay J. Pawar, Dr. Vishal A. Wankhede
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
This paper introduces a successful approach for distinguishing Abandoned luggage in surveillance
recordings. We join short-and long term foundation models to concentrate closer view objects, where
every pixel in an information picture is named a 2-bit code. In this manner, we acquaint a structure with
recognize static frontal area areas in light of the worldly move of code designs, and to figure out if the
applicant districts contain surrendered protests by breaking down the back-followed directions of
baggage proprietors. The trial comes about acquired in light of video pictures from 2006 Performance
Evaluation of Tracking and Surveillance and 2007 Advanced Video and Signal-based Observation
databases demonstrate that the proposed approach is successful for identifying relinquished gear, and that
it outflanks past techniques.
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SMART HELMET
Jadhav Tejaswini S., Dr. Vishal A. Wankhede
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
In India most of the people prefer two wheelers compared to other vehicle due to simplicity and its low
cost .A smart helmet is a type of protective headgear used by the rider which makes bike driving safer
than before. The main aim of this smart helmet to provide safety for rider. This implement by using
advance feature like alcohol detection, accident identification, location tracking. This makes not only
smart helmet but feature of smart bike. Its compulsory to wear helmet without helmet ignition switch
cannot ON. If rider getting drunk it get automatically ignition switch is locked and send message
automatically to their register number with their current location. So when accident occurs, it will send
message by GSM to register numbers with their current location by GPS module.
Health Monitoring System Using Wireless Body Area Network & ANDROID
supported PDA
Ankush S. Joshi, Thakre S S
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
Late remote sensor frameworks have engaged the design of insignificant exertion, shrewd, little, and
lightweight remedial sensor centers that can be intentionally put on human body, make a remote body
district framework called Wireless Body Area Network (WBAN) to screen distinctive physiological
crucial signs for a drawn out extend of time and giving progressing contribution to the customer and
restorative staff. In this paper, therapeutic sensors were used to accumulate physiological data from
patients and transmit it to individual computerized right hand (PDA) using Bluetooth standard and to
helpful server using 3G correspondences. In this paper, we exhibit new patterns, different developments,
for example, we are utilizing Bluetooth innovation which is not utilized before. Likewise we will create
android application for PDA so as to catch the information from sensors and also it can give office of
putting away and sharing the patient’s results to specialists, doctors and so forth through web.
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Multilevel inverter fed induction motor using PWM technique
Handge Madhuri Madhukar, Tated K S
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
This paper makes a humble attempt to design and implement a variable frequency control of three phase
induction motor using PWM technique for three phases MOSFET based inverter using three phase
induction motor drive. PWM is employed in wide verity of applications like power control and
conversion. To handle high voltage, high power and increase levels of inverter diode clamped multilevel
inverter is designed here. It fulfills higher torque requirement and reduced total harmonic distortion which
are advantageous part of paper. This could be extended to higher levels of voltage waveform and can be
used in photovoltaic cell.
Red Lesion Detection using Dynamic Shape Features for Diabetic Retinopathy
Screening
Ashwini Dattatray Sonawane, Tated K S
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
In this paper a Diabetic Retinopathy (DR) is the deterioration ofhuman eye its result is increase in the
blood glucose level.If the patient has DR, then higher the chance to developpurblind. The robust detection
of lesions in digital color fundusimages is an important step in the development of automatedscreening
system for diabetic retinopathy. In this work a novelmethod is introduced for automatic detection of red
lesions in thefundus image. A new set of shape features extracted from thedetected red lesion called the
dynamic shape features thatdifferentiate between the lesions and vessel segments. Thedetected lesion
candidates are classified using dynamic shapefeatures based on the medical values. The simulation
analysisindicates that the proposed work is better than the previousworks in terms of accuracy, sensitivity,
precision and specificity.
Human Emotion Recognition
Renuka Lodha, Agrawal R K
SNJB's COE, CHANDWAD, NSK [041]
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ABSTRACT
The aim of study of “Human Emotion Recognition― is to make language interfaces in human
computer interaction applications more efficient. This study deals with the six emotions like anger,
boredom, disgust, fear, happiness, sadness. Energy, MFCC(14), LPC(12),ZCR, Pitch ,First three formant
these six different features were extracted. Here Artificial Neural Network is used as classifier.
Human Identification Method: SCLERA
Karade Poonam Nivrutti, Dr.Wankhede V.A.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
The vein structure of the sclera is unique for each person and stable over time and can be used for
identifying human. Therefore, the sclera vein pattern can be used for a useful biometric feature. In this
paper we propose a new concept for human identification i.e. Sclera Recognition. Sclera vein pattern
recognition can face a several challenges like: the vein structure moves as the eye moves, low image
quality, multilayered structure and thickness of the sclera vein changes with the excitement level of the
human body. There are several contribution. First we Propose the new approach for human ID i.e. Sclera
Recognition. Second we developed segmentation method for both the grayscale and color images. Third
we design the Gabor wavelet based sclera pattern enhancement method and finally, we proposed Line
descriptor based feature extraction, registration, and matching method.
Electronics Solid State Voltage Regulating Relay for on Load Tap Changer
Distribution Transformer for AVR (Automatic Voltage regulation)
Thakare Pralhad Babaji, Prof.Mechkul M.A.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
This paper presents a system, specially designed for the Distribution transformer tap changer with the
continuous operation of tap changing and control of the secondary voltage brings a remarkable
improvement in power supply quality, keeping voltage in the net constant. Design and practical
evaluation of the electronic tap changer for three-phase 1000KVA distribution power transformer. The
on-load tap changing (OLTC) regulators have been widely used since the introduction of electric energy.
They ensure a good regulation of the output voltage in presence of large variations of the input voltage
with typical response time from 100 ms to several seconds. The continuous growth of power semi-
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conductor devices, such as the insulated gate bipolar transistor, allows the development of fast OLTC
regulators being able to fix other problems in the ac mains, like sags and flicker. The suitable condition of
an on-load tap-changer (OLTC) is essential for the operation of converter transformer due to its frequent
switch for the voltage regulation of power system. This can be applicable to tap changers and release
commutation from the zero-current crossing, thus allowing a faster voltage regulation.
Image Mosaching Using Harries Corner Detector
Patil Rohi Shivaji, Prof.Thakare S.S.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
Since the breathe few decades, conception mosaicing in real foreshadow applications has been a
challenging field for conception processing experts. It has copious applications in the trade of register
conferencing, 3D image modification, pumpkin imaging and all medical as with a free hand as computer
delusion fields. It can further be hand me down for mosaic-based localization, outline detection &
tracking, augmented survival, resolution enhancement, generating rich FOV etc.
In this research trade, centerpiece based theory mosaicing technique per theory integration have been
proposed. The theory mosaicing algorithms bouncecel be categorized directed toward two universal
horizons. The first is the behave method and the moment one is based on perception features. The behave
methods prefer an ambient initialization whereas, centerpiece based methods does not move initialization
during registration. The feature-based techniques are mostly followed individually four steps: feature
detection, dish fit for a king matching, transformation exemplar estimation, image resampling and
transformation. SIFT and SURF are one algorithms which are based on the achievement detection for the
ending of brain wave mosaicing, nonetheless both the algorithms has their put a lock on limitations as
well as advantages by the applications concerned. The proposed rule of thumb employs this two feature
based theory mosaicing techniques to prompt a product theory that works inaccurate the limitations of the
both in grain of salt of theory quality. Further to move up in the world this duty, the theory fusion
technique has been employed. Image building a whole for multi-sensor images at an altering sentence can
be fruitfully implemented by rule of thumb of wavelet based Multi Resolution hit or miss (MRA).Hence
in this how things stack up Harr based wavelet resolve technique has been hand me down for achieving
image fusion. The developed competent algorithm takes gift of the combined end of rotation,
illumination, noise variation and other few and far between variations. From the ground up, the input
images are stitched together via the popular stitching algorithms i.e. gat to one feet Invariant achievement
restore (SIFT) and Speeded-Up Robust Features (SURF). To get the marvelous features from the stitching
results, the blending process is done by rule of thumb of all manner of wavelet Transform (DWT) by the
agency of the restriction selection rule for both mirror as with a free handas detail-components. The
search provides rocket as cleanly as rotational invariance property. The SURF provides outstrip
computation hasten and illumination invariance. The robustness and case of the after mosaicing
techniques are tested by way of doing thing of three-dimensional rotational images.
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Speech Enhancement Using An Efficient Adaptive Filtering Technique
Bacchav Shubhangi Sudhakar, Prof.Mechkul M.A.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
In this paper, it gives the concept of speech enhancement in a practical approach, using different speech
enhancement algorithms. The Least Mean Square (LMS) algorithm is a basic adaptive algorithm has been
extensively used in many applications as a consequence of its simplicity and robustness. In this paper we
present a novel adaptive filter for de-noising the speech signals based on unbiased and normalized
adaptive noise reduction (UNANR) algorithm. To measure the ability of the proposed implementation,
signal
to noise ratio improvement (SNRI) is calculated.
Image Mosaching Using Harries Corner Detector
Rohit Shivaji Patil, Thakre S S
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
Since the breathe few decades, conception mosaicing in real foreshadow applications has been a
challenging field for conception processing experts. It has copious applications in the trade of register
conferencing, 3D image modification, pumpkin imaging and all medical as with a free hand as computer
delusion fields. It can further be hand me down for mosaic-based localization, outline detection &
tracking, augmented survival, resolution enhancement, generating rich FOV etc.
In this research trade, centerpiece based theory mosaicing technique per theory integration have been
proposed. The theory mosaicing algorithms bouncecel be categorized directed toward two universal
horizons. The first is the behave method and the moment one is based on perception features. The behave
methods prefer an ambient initialization whereas, centerpiece based methods does not move initialization
during registration. The feature-based techniques are mostly followed individually four steps: feature
detection, dish fit for a king matching, transformation exemplar estimation, image resampling and
transformation. SIFT and SURF are one algorithms which are based on the achievement detection for the
ending of brain wave mosaicing, nonetheless both the algorithms has their put a lock on limitations as
well as advantages by the applications concerned. The proposed rule of thumb employs this two feature
based theory mosaicing techniques to prompt a product theory that works inaccurate the limitations of the
both in grain of salt of theory quality. Further to move up in the world this duty, the theory fusion
technique has been employed. Image building a whole for multi-sensor images at an altering sentence can
SPPU Pune_Draft Copy for verification only_Souvenir_ePGPex_2017 396
be fruitfully implemented by rule of thumb of wavelet based Multi Resolution hit or miss (MRA).Hence
in this how things stack up Harr based wavelet resolve technique has been hand me down for achieving
image fusion. The developed competent algorithm takes gift of the combined end of rotation,
illumination, noise variation and other few and far between variations. From the ground up, the input
images are stitched together via the popular stitching algorithms i.e. gat to one feet Invariant achievement
restore (SIFT) and Speeded-Up Robust Features (SURF). To get the marvelous features from the stitching
results, the blending process is done by rule of thumb of all manner of wavelet Transform (DWT) by the
agency of the restriction selection rule for both mirror as with a free hand as detail-components. The
search provides rocket as cleanly as rotational invariance property. The SURF provides outstrip
computation hasten and illumination invariance. The robustness and case of the after mosaicing
techniques are tested by way of doing thing of three-dimensional rotational images.
Voice And Face Emotion Detection Robot
Shewale Prerana Gangadhar, Prof.Hon Y.S.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
This paper introduces a human emotion according to face and voice .We express our feeling according to
emotion .It improve the overall human computer interaction. The work present an approach toward the
face emotion. and speech recognition. In this paper emotion can be detected according to Robot . Robot is
the reduce the human efforts by the emotion. So the emotion can intimated by the process of feature
extraction ,classification and detection to give the proper output according to Robot
Multiple Sensor Fusion and Classification for Moving Object Detection and
Tracking
Khan Rabiya Yunus, Prof.Mechkul M.A.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
This paper introduces a successful approach for Moving Object Detection and Tracking. It is an
important part of advanced driver assistance system for moving object detection and classification. By
using multiple sensor for object detection we can improve the perceived model of environment. In first
step we describe the combined object representation. In second step we suggest a complete observation
mixture design based on evidential structure to solve the detection and tracking problem by integrating
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the multiple image and doubt organization. Finally we add our mixture approach in real time application
inside a vehicle.
Plant Disease Detection Using Image Processing
Shaikh Saddamhusain Jauddin, Prof.Agrawal R.K.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
Diseases in plants cause major production and economic losses as well as reduction. Detection of plant
disease through some automatic technique is beneficial as itreduces a large work of monitoring in big
farms of crops, and at very early stage itself it detectsthe symptoms of diseases.Detection on plant is very
critical for sustainable agriculture. It is very difficult to monitor the plant diseasesmanually. It requires
tremendous amount of work, expertize in theplant diseases, and also require the excessive processing
time.Hence, image processing is used for the detection of plant diseases.Process involves the steps like
image acquisition, imagepre-processing, image segmentation, feature extraction andclassification. This
paper discussed the methods used for thedetection of plant diseases using their leaves images. This
paperalso discussed segmentation and feature extraction techniqueused in the plant disease detection.This
method is simulatedin MATLAB environment and is examined on image of kind of tiles such as
simple,color and designed that lead to good result to gradation and sharp defect detection oftiles.Feature
extraction is done using k-means algorithm and selection is texture based. Classification is done using
SVM.
SMART PARKING SYSTEM
Bachhav Jayakshei Dadaji, Prof.Mechkul M.A.
SNJB's COE, CHANDWAD, NSK [041]
ABSTRACT
In today’s life the concept of smart city had become an area of interest in the world of technology.
Concern to parking became imminent in the urban area. The parking space problem could be turn into a
new opportunity brought by the recent trends to meet the world’s connected continuum. In this paper, I
am presenting the IoT based Smart Parking System. This paper makes easy for the user to find
automatically a free space at the low cost and without consuming time and fuel. The whole system is
based on Wi-fi. The android application is also provided to the user to check the availability of free space
for parking and book that slot accordingly.
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Underwater Image Enhancement using Discrete Wavelet Transform and KL
Transform
Badgujar Prashant Narayan, Mr. J. K. Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Color change and light scattering are two major sources of distortion for underwater image processing.
Light scattering is caused due to light incident on objects reflected and deflected multiple times by sand
particles present in the water before reaching the camera. This lowers the contrast and visibility of the
captured image. Color change corresponds to the varying degrees of attenuation encountered by light
traveling in the water with different wavelengths of different colors, rendering ambient underwater
environments dominated by a bluish tone. No existing underwater processing techniques can handle color
change distortions and light scattering suffered by underwater images, and the possible presence of
artificial lighting simultaneously. This paper proposes an efficient systematic approach to enhance
underwater images using discrete wavelet transform, KL transform and adaptive histogram equalization.
Keywords—Discrete Wavelet Transform, Underwater Image Enhancement, KL Transform.
Smart Waste Management System Using Zig-Bee
Vedant Nitin Agnihotri, Atul Srivastava
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Nowadays, Indian government’s purpose is to create smart cities. For that, most challenging problem is
waste management for municipals, which are facing serious pollution problem due to the huge quantities
of waste. If solid waste is not handled properly it may create lots many problems related to human health
and environment. Therefore, there is a necessity of a system which provides information about filling of
garbage level or the bin. So that, municipality can collects the waste from bin before overflowing and
helps to maintain the environment clean. This paper presents brief review on technology like Zigbee,
GSM etc. which enables to monitor of garbage bin in real time and will inform to authorized person when
the garbage bin is about to fill. Practically, for solid waste collection and transportation monitoring and
management these technologies are good enough to ensure for greener environment.
Keywords—Smart garbage Bin; solid waste management.
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infrastructure health monitoring
Solat Sonali Machhindra, Mr.Atul Srivastava
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
This paper presents a measurement system for measuring dynamic acceleration of infrastructure remotely
using wi-fi environment. This measurement is critical to the vibration-based method for infrastructure
health monitoring. Design considerations of accelerometer integrated with embedded system is
implemented. Measurement results of the system for a structural specimen have shown that it is capable
of acquiring data which provides the information of natural frequency of the structural specimen.
Moreover, the system can distinctively identify the state changes of the structural specimen using MEMs ,
Temperature, Humidity sensors.
plant protection and pest control using low cost sensor based embedded
system
Shinde Shital Sopan, Mr.Atul Srivastava
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
This Paper aimed to investigate an establishment using an Intelligent System which employed an
Embedded System and for plant protection and pest control especially of apple using beta regression
model. this beta regression model is based on mainly humidity and temperature values. using temperature
sensor and humidity sensors real time values in the environment are sensed these values are analyzed and
monitored by Raspberry Pi ,With the use of python language beta regression model is implemented in
raspberry pi for further action. The result shows that Raspberry Pi and Python successfully predicted the
pest attack in advance. In this way it is a novel, easy to handle, economical system for the apple growers
and farmers. The system was found to be comfortable for farmers to use as they could effectively control
the farm, resulting in cost reduction, asset saving, and productive management in farming.
Linux webserver based smart farm monitoring
Mahajan Priyanka Rajendra, J.K.Singh
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VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
This Paper is aimed to implement Intelligent System that used anLinux based webserver with Embedded
System for smart farm monitoring using Raspberry Pi and Arduino Uno. Relative experiment and
comparative analysis of the smart system was applied during a test farm during this study. The findings of
this study found that the system may monitor Combinely climate as well as wetness, temperature, climate
quality, The system was found to be impactful for farmers to use as they may effectively management the
farm at remote area as well, leading to price reduction, quality saving, and productive management in
target farming
Keywords—Raspberry Pi ; Arduino Uno; Webserver ; DHT11; LM35;
Digital Notice Board using raspberry pi
Abhimanyu Bhanudas Sabale, J.K.Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Notice Board is an essential thing in any public
utility or institution places like bus stations, railway stations,
colleges, malls, etc. But sticking various notices day to day is a
difficult process. A special person is needed to take care of this
notices display. This project is about advanced wireless notice
board. The project is built around ARM controller raspberry-pi
which is heart of the system. Display is obtained on project tor. A
Wi-Fi is using for Data transmission. At any time we can add or
re- move or alter the text according to our requirement. At
transmitter authorized PC is used for sending a notices. At
Receiver side end Wi-Fi is connected to raspberry pi. When an
authorized user sends a notice from his system, it is received by
receiver. Wireless is a most popular technology that permits an
electronic device to exchange and transfer data wirelessly over a
computer network, including high speed wireless connections.
The data is received from authenticated user. Then it sends to
arm 11 that is raspberry pi.
Keywords—Rpi- Raspberri Pi ; IOT-Internet of things; Wi-
Fi; GSM;
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Online Agricultural data acquisition system powered with GPS & sensing
technology with Enhancement of water irrigation system
Kulkarni Sayali Satishchandra, Prof.J.K.Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Abstract: This paper presents online agricultural data acquisition system in order to supervise the farm
with robotic movement and multiple sensors used to measure different agricultural parameters such as soil
moisture, temperature, soil humidity, soil pH and water level. The proposed scheme consists of water
irrigation system which is useful to supply controlled amount of water to the farm. Robot includes sensor
sub system, planning subsystem. Main focus of the system is online availability of information related to
Agricultural parameters with the help of GPRS and data acquisition system.ASP is an HTML page used
for web development. Online data monitoring is helpful to observe parametrical information such as
water level, temperature, light intensity, soil pH etc. from anywhere.
Keywords—Soil pH, Soil humidity, Soil moisture, Water irrigation system, GPRS module.
U Shaped Multiband Monopole Antenna For Spacecraft,WLAN And Satellite
Communication Application
Lokhande Manojkumar, Mr.Atul Srivastava
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
In these paper an novel U shape Monopole antenna for multiband application has been designed. The
designed antenna resonant at three frequency of 2.8 GHz, 5.8 GHz and 10.8 GHz with an impedance
bandwidth of 880 MHz, 2500MHz and 3000MHz respectively. The antenna is highly efficient with an
efficiency of more than 80% over the desired resonating bands. Moreover it has omnidirectional radiation
pattern with an good directivity. The gain of more than 4dBi is obtained over the desired resonating
bands. The VSWR less than 2 dB obtained over the entire band. The designed antenna is suitable
candidate for Spacecraft, WLAN and Satellite communication (X bands)applications.
IoT Based Industrial Automation Using Web page
Tambe Bhagyashri Shivaji, J.K.Singh
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VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Automation is need of life and industries. In many
small scale as well as large scale industries it requires automation
of processes. Such system management using dynamic IP based
Embedded Web-server (EWS) is presented in this project. In
current era of networking, to maintain EWS with static Internet
Protocol (IP) is difficult and costly to manage. Novel approach of
assign dynamic IP to board is developed and tested for different
dynamic IPs. Dynamic IP is obtained for embedded board by
enabling (IOT) internet on things. The embedded system consists of
raspberry-pi processor running on Linux operating system.
Embedded board (EB) having dynamic IP contains different inputs
from sensors for automation as well as web page designed in PHP
with this web page any authorized person can monitor industrial
automation parameters as well as can control industrial
applications.
Keywords— Raspberry Pi ; Realys; Webserver ; LDR; LM35;
IOT-Internet of Things.
Embedded based Potholes and humps mapping using Android application
Shazia Shaikh, Mr. J. K Singh,
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Potholes and humps have been known to be a major nuisance in roadside transportation, especially in
India. Due to the significant weather fluctuations we experience, these potholes evidently are more
severe. Identification of these potholes and humps not only helps drivers to avoid accidents or vehicle
damages, but also helps authorities to maintain roads. This paper discusses the mapping of Potholes and
humps which assists the driver in avoiding potholes on the roads, by giving him prior warnings. If the
driver is approaching a pothole or hump or driver may be warned in advanced regarding what road has
how many potholes. Ultrasonic sensors are used to identify the potholes and humps and also to measure
their depth and height, respectively. The proposed system captures the geographical location coordinates
of the potholes and humps using a global positioning system receiver. The sensed-data includes pothole
depth, height of hump, and geographic location, which is stored in the database
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Fingerprint Biometric with Movement Enhanced Technique
Sujit Wakchaure, Mr. J. K. Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
A system protecting confidential information, or items of value, puts strong security demands on the
identification Even though Fingerprint Biometrics has made a great impact in security issue and identity
factor as well. All currently available fingerprint scanners can be fooled by dummies that are created with
very limited means and skills. In this paper we have solved this problem by enhancing the finger
movement technology along with fingerprint biometrics. In the proposed system, the movement of the
finger is being identified by using sensors, which are placed at different positions in a flat surface
accordingly. The perspective finger is being moved along the surface, thus for each entry of the finger, the
finger impression has been scanned out to identify whether the person is authorized either .Hence through
this paper we focus on design and modelling, which is a successive factor for the implementation of
Fingerprint Biometrics with Movement Enhanced technique(FBMET).
Intelligent Contactor Coil Drive Design for Low Power Consumption & Soft
Switching of Heavy Load
Rakhunde Prashant Anandrao, Prof. J. K. Singh
VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]
ABSTRACT
Optimized contactor coil drive design and its intelligent realization with AC 110-240VAC input voltage
is introduced in this project, the hardware and software design are emphasized especially around the
commonly used 8 bit PIC microcontroller with IDE MPLAB. The use of power electronic switching
device i.e MOSFET to control and adjust the voltage on the contactor’s coil with PWM (Pulse Width
Modulation) phenomenon, such that contactor works reliable and stable with a wide range AC
(AC80~270V) in the controlled fashion. This way contactor can be used in all the voltage class which
solves the problem of voltage variation & exceed voltage case with less power consumed for the coil
operation. The hardware design consists of a microcontroller PIC18F2520 with following module:
1. Power supply and Voltage measuring circuit with coil.
2. PWM control circuit
3. RS232/RS485 communication interface etc. (As future improvement part)
These function conforms contactor as a energy saving, silent operation, less arc or no arc break,
communication, remote operation and so on in case of implementation of communication protocol. The
partial test results at the end of this paper show that the design of this contactor is accurate and effective,
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however need of implementation of communication protocol is still under the design feasibility check
phase.
Looking at the test results as of now, the performance and characteristic of the contactor would be
enhanced considerably and the types of power would be reduced greatly as well. Meanwhile, it is easy to
foresee that this kind of new AC contactor would have a large market and broad application prospect in
industrial application like Steel plant, Arc Furnace, Ball Mill, Cement Plant like areas as easy & more
power saving option.
Healthcare and security system for elderly and disabled people
Abhishek Birajdar, Prof. P. A. More
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
An embedded system is a special-purpose computer system designed to perform a dedicated function.
Since the system is dedicated to specific tasks, design engineers can optimize it, reducing the size and
cost of the product. Embedded system is fast growing technology in various fields like industrial
automation, home appliances, automobiles, aeronautics etc. Embedded technology uses PC or a controller
to do the specified task and the programming is done using assembly language programming or
embedded C.
As we all know life for any disabled/elderly person can become very miserable since they are
constantly dependent on others to reduce their dependability we have come up with the idea of GPS based
disabled/elderly assistant
.
The idea is to guide the disabled/elderly in a busy traffic area. He/She will be informed about the
name of place he is standing. Also he can get directions for the destination he wants to go. Also we have
put obstacle detectors which will warn the blind person of any collision. Also we have attached
biomedical sensors which will give his/her health status body temperature and pulse rate to the concerned
authorities via SMS/Android Application.
A Co-operative Collision Warning using WSN in a Vehicular Network
Asmita Anil Potdar, Prof. S. A. Ghodake
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
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A road accident is a drastic issue for the driver and passengers in a danger conditions while travelling in a
vehicle. The driver’s negligence and the lack of safety features in a vehicle is the major cause of such
issue. The paper presents a prototype of a Safe Vehicle to avoid an accident in front and back scenarios
and the logic used for such system. The accident avoidance is obtained by detecting objects, using real
time data monitoring system. The system includes Ultrasonic sensor for front object detection and IR
sensor for back obstacle detection. The distance is measured by the microcontroller; the system stops the
vehicle for 50 cm to maintain a safe distance. The ARM 7 microcontroller is used to control the system.
Advanced wireless medical alert system
Dipak Mahadeo Kerkal, Prof. More Prajakta A.
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Over past few years, there has been a huge growth of biomedical industry. In Parallel, another industry is
growing which is low power and wireless embedded systems. Embedded systems and networks are major
components of biomedical devices and applications. The system which used to call nurse is plays major
roll in medical emergency.
In this system we propose a system, which is wireless. For wireless radio selection initially we have
studied number of modules that are available in market.
The major concerns with wireless modules are power and price. Our system will have touch switches that
can be used to call nurse, cancel the call etc. out target customers are in developing countries where
affording costly system is not possible.
Ultimate aim of this product is to design a low cost, low power consuming and high performance device
which will be used in low budget hospitals.
Energy Efficient LED-Based Lighting of Multipurpose Outdoor
Environments With Power Factor & Efficiency Correction
Jayant Premnath Dalvi, Prof. A. N. Kulkarni
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Nowadays, street lighting accounts for 53% of outdoor lighting use, and the market is continuously
increasing. In the context of rising energy prices and growing environmental awareness, energy efficiency
is becoming one of the most important criteria for street lighting systems design.This describes an
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outdoor lighting solution aimed at energy-efficient performance in the context of multipurpose outdoor
environments, where control is crucial in achieving efficiency and power factor improvements.
This addresses efficiency at the component level, by optimizing the performance of LED drivers, and at
the system level, by defining the control strategy and associated hardware infrastructure. The approach
designed was tested in a real environment.
Water Monitoring System For Hydroponics Agriculture
Jyoti Vilas Gosavi, Prof. Mrs. Anushri Kulkarni
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Hydroponics is a subset of hydroculture. It is a method of growing plants using mineral nutrient solutions.
The plants are grow only in water, without soil. Hydro means ‘water’ and the Ponics means the
‘work’, that means hydroponics plants means water working plants. The nutrients in hydroponics can
be from fish waste, normal nutrients, or duck manure.
Hydroponics is a technique to grow the plant without using the soil. This technique take cares the
plant gets all nutrients needed from the water solution. There are many types of hydroponics technique.
The Water Culture (WC) is one of the hydroponics technique types. WC is a technique that grows the
plant by supplying the nutrient direct to the root of the plant until the plant can be harvested. By using this
technique, the plant root will be always submerged into the water that contains nutrient and oxygen.
In this research, the pH level in water solution , water conductivity and the water luminosity which
gives bad effect on growing of the plants will be automatically maintained by microcontroller and
measured by sensor.
THE SMART HOSPITAL BED
Kiran Deepak Sonawane, Prof. S.A.Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
In today’s world with an expanding life expectancy with continuous rising cardiovascular disorders, it is
almost impossible for people to be at home or become available for their near ones who might need them
while they are suffering from any disease or physical disorder; especially in case of post-operative
patients since they can develop complications once they get discharged from the hospital. Hence, it is a
prime requirement for them is to monitor their cardiac health frequently whether they are indoors or
outdoors so that emergency treatment can be made possible. So With the help of SMART BED Care
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givers can receive timely alerts at the nurse’s station anywhere in the hospital regarding signal trends,
body movement, and bed presence. Since most health monitoring occurs while a person is in bed so smart
bed is the ideal platform for improving health and better care.
Automatic Pay and Park Ticketing and Allocating Machine Prototype using
Linux and OpenCV
Nagesh R Sonwane, Prof. S S Palnitkar
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
With increase of vehicles in the city comes the need of automation to existing manual pay and park
system functionality. This will not only save the time but can also help in, digitization, security
enhancement, convenient parkingetc to mention few. Vehicle classified as two or four wheeler is
considered for separate allocation of vehicle.
The project uses open source component which includes operating system, kernel and open
computer vision library etc with open hardware as well to reduce the overall cost. This yields in less or no
licensing fees with no NRE cost except application development.
The prototype proposed can be used for real time application and is embedded device. Image
processing as we know is high computation task and needs time for processing data for image processing
algorithm on processor or device in concern. This makes real time application development difficult to
implement in embedded or small scale devices with needed efficiency or performance. The project uses
OpenCV computer vision library and can be used for real time application developed due to efficiency.
Design & Prototype Implementation of Modified IVR System with Bluetooth
Technology for Home Automation & Security System
Nayan Rajendra Shinde., Prof.S.S.Palnitkar.
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
This research aims to design Modified Interactive voice Response System with changes in previous
existing IVR system by making it digital from analog one. Paper presents design & prototype
implementation of home automation system based on IVR Technology for remote controlling &
monitoring of home appliances. Proposed system implements IVR System by replacing existing Analog
APR voice module by Digital SD card module & also provide additional security system via IVR
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response. Proposed system combines Bluetooth technology with Modified IVR System to reduce the cost
incurred in making call when user is inside home & make system more cost-effective. in this paper, two
prototype namely Bluetooth based automation in indoor environment & IVR based automation in indoor
& outdoor environment are presented. with IVR Based system user can access his home appliances from
anywhere & at anytime as per the requirement. The paper also calculates the latency involved in turning
on/off load based on experimental observations & have shown results graphically.
Automated Fare collection system for passenger journey destination
estimation with stop announcement
Neha Shailendra Mandage, Prof. S. A. Ghodke
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
A methodology for passenger journeys destination estimation from automated fare collection (AFC) and
stop announcement system data is described. It introduces the new assessmentfeatures to increase the
accuracy of journey results. Theprocedure applies to distance-based tollstructures and it goals to
developunderdone AFC system data with the assessmentof individual journeys. This paper describes
asystem developed to implement the methodology and the results from its application to bus service data
from starting point of journey to the stopping point of journey. The data relate to an AFC system unified
with an automatic vehicle location system by using GPS that records transaction for each passenger
entering a bus, containing features regarding the route, the vehicle, and the travel token used, along with
the time and the location where the journey began. The results led to the conclusion that the methodology
is effective for assessing journey destinations.
Iris Recognition Using Wavelet Transform
Pooja Shantikar Meshram, Prof. N. P. Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Iris recognition is considered to be the most reliable and accurate biometric identification system. Iris
recognition system captures an image of an individual’s eye, the iris in the image is then meant for the
further segmentation and normalization for extracting its features. The performance of iris recognition
systems depends on the process of segmentation. Segmentation is used for localization of the correct iris
region in the particular portion of an eye and it should be done accurately and correctly to remove the
eyelids, eyelashes, reflection and pupil noises present in iris region. Daughman’s algorithm is used for
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segmentationfor Iris Recognition. Iris images are selected from the IITD Database, iris and pupil
boundary are detected from rest of the eye image after removing the noises. The segmented iris region
will be normalized to minimize the dimensional inconsistencies between iris regions by using
Daughman’s Rubber Sheet Model. Then the features of the iris will be encoded by using Gabor
filter.Different classification algorithms will be used to calculate how many bits disagreed between the
templates of the iris and their results are compared to get best performance.
Design and implementation of on board AC to DC battery charger using
flyback converter
Prajakta Dilip Kumbhar, Prof P.A. More
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Lead Acid battery is one of the major source of energy available in developing countries .
They are widely used in number of domestic and industrial applications as a primary and backup power
source. The objective is to design a cheap, versatile and efficent lead acid battery charger which will
interest and appeal cost minded customer .Chargable batteries are produced and used extensively today
for different applications. However without a battery charger these batteries can become quite worthless.
Charging of lead acid batteries becomes an challenge when we need to consider the battery life . For
complete battery utilisation, the charger circuit must charge the battery to its full capacity, while
minimising overcharging for extending the battery life. Simple constant current, constant voltage chargers
can charge the batteries, but the battery life can degrade if not charged considering their charging
characteristic. For this purpose we require smart chargers that monitor battery charging curve. This paper
propose a three stage battery charging system. A three stage charger enhances battery life as compared to
conventional charger. It is based on flyback power conversion topology that operates at higher switching
frequency , thus reducing the size and cost. It monitors the battery voltage levels and based on that it
charges the battery in either float, boost or absorption mode.
Deep sea fishermen safety system for border intruder positioning
Prakash Kumar, Ms. Palnitkar S. S.
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
The paper proposes a GPS and GPRS tracking system for offshore fisherman. The main objective of the
proposed device is to help the new demand in the world especially in European countries to import fish
products only from sustainable sources. The developed system provides safety, security, lifesaving, law
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enforcement, environmental security and fisheries in marine. The propose device is a low cost GPS
tracking with functionalities. Our setup with GPSand GPRS tracking and the concept of GSM-assisted
community patrolling will become successful in India and everywhere in the world. The safety being
carried out by this system will create fame for the Indian fisherman and Coastguard. They can easily
come out the problems that they are facing in coastal region and international sea boundary.Everyone
fingering Indian coastguard and fisherman whenever any problems happen near coastal region. Hence
without any harm, to protect and overcome problems of fisherman and community in international issues,
setup is very helpful.
Portable Roadside Sensor For Vehicle Classification And Speed Measurement
Rajshri Balasaheb Pawar, Prof. V.B.Shere
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
The paper focuses on the enhanced automated system consist of a portable roadside sensor system for
vehicle counting, classification, and speed measurement. The sensor system consists of wireless devices
that do not require to be embedded in the roadway—the devices are placed next to the roadway and
measure traffic in the immediately adjacent lane. An algorithm and image processing system based on
controller model helps to make the system robust to the errors and fully automated to classify larger
vehicles driving in the nonadjacent lane as well as in the same lane. The proposed system can make these
traffic measurements reliably for traffic in the lane adjacent to the sensors. Signal processing algorithms
based on an analysis of the magnetic field around a car are used to enable the sensor estimates.
Vehicle classification is done based on the magnetic length and an estimate of the average
vertical magnetic height of the vehicle considering all physical parameters of the vehicle. Vehicle length
is estimated from the product of occupancy and estimated speed with the help of IR sensors along the
roadside. Data are presented from a large number of vehicles on a regular busy urban road and can also be
applicable for toll applications and smart city projects
Design of Co-ordinate Measuring System with vision inspection for Quality
Control
Shraddha Dubal, Prof. Smita A. Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
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In today’s life, image and video processing applications are becoming widely used in many domains
including industrials, medical imaging, manufacturing, and security systems. Real time video processing
is a very demanding task as it needs to perform high computations for a big amount of data represented by
the image, and the complex operations, which may need to be performed on the image. We are going to
design a system in which the dimensions are checked and compared of a connector according to the
program given as input to the system.
The distance, angle, area and irregular shape measurement can be done to do the quality analysis on large
scale and avoid customer problems and make it more feasible to use without procrastinating the quality
measures.
Automatic Traffic Sign Detection for Driver Assistance
Shweta Nandkishor Thakre, Prof.N.P.Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Traffic sign detection and recognition has been studied thoroughly for a long time. The detection and
recognition of traffic panel is a challenging task because of its wild variety of the information contain in
the and the different types of traffic sign such as warning sign, regulatory sign, guide sign, construction
sign, recreational sign, service sign, stop sign. In this paper a system is used which will automatically
detect the sign board and recognize the information contain in the sign board, as an application of
intelligent transportation system (ITS). The main purpose of this system is to assist the driver with
different sign boards which will automatically reduce the road accidents. The main cause of road
accidents occurs because of improper or incorrect information about the traffic sign boards. This paper is
divided into two parts: as detection and recognition of symbol and text. The symbol detection is done by
using the Surf feature and text detection is done by using artificial neural network. The detected symbol
and text will be announced through speaker.
Adaptive Neural Prediction System for Classification of Sediments
Snehal Ganesh Bhegade, Prof. S. S. Palnitkar
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Sediments classification is required to have the detailed knowledge about sedimentation on the seafloor,
river bed, canals, near dam walls etc. Most commonly used approach in sediments classification on
seafloor or on riverbed are very expensive as this requires dedicated ships, lengthy measurements,
dedicated equipment and a labour intensive analysis afterwards. Presently used two technologies are
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under development are based on acoustic and electrical. This system is based on electrical resistivity
technique. It uses electrical impedances as input and adaptive neural prediction system for identifying the
type of sediment. The sediments can be classified based on their electrical resistivity into different
categories such as mud, sand, gravel. This system uses physical properties for classification this makes
adaptive algorithm easier to learn and reduces processing time.
Healthcare Monitoring System Using Body Sensor Network
Sonali Suresh Shelke, Prof. Smita A. Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
From last few years, in the field of research new idea has emerged associated to challenges of monitoring
and control of health parameters accurately. Nowadays there is major issue to monitor health problems of
elderly peoples or patients. It becomes important to monitor their medical parameters and post operational
data without disturbing their routine. Hence the concept of health care communication using Internet of
Things (IOT) is adapted to monitor and control patient’s medical parameters in local and remote area.
This system includes a central supervisory control over patient and access to health care professional
databases for assigning suitable health care professionals to the patient and for performing task planning.
The main goal of this project is transmission of health parameters of patient through wireless
communication. All medical data are uploaded in cloud server and then it is transmitted to computer and
mobile of family members and doctor. Thus, in this paper we discuss how to build healthcare monitoring
system using Internet of things technology as communication platform.
Implementing IoT for SMART local bus transport management system
Vishal Kamalakar Pawar, Prof. N. P. Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
The poor state of local Public transport Management in India has shown need to build SMART local bus
transport management system. Current management system for local Public transport has no way to track
vehicle in real time. Transport Managers lack information in real time. The status data is compiled and
reported monthly or weekly bases. The analyses of frequency routes, Footfall of Passengers on routes,
fuel Level and Mechanical status of vehicles are not available in real time. These parameters determine
the profitability of Public transport organization. Even Passengers don’t have adequate information on the
Vehicle and route. Here, the paper discuss Internet of thing (IoT) based model to solve this problem.
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Use of Artificial Neural Network for the prediction of performance of Diesel
Engine using Biodiesel.
Suryavanshi Rakhi Shankarlal, Prof. N. P. Bhosale
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
The experimental investigation of performance of the Diesel engine using Biodiesel is very time
consuming and costly. This project aims at use of Artificial Neural Network (ANN) to predict the
performance of Diesel engine using Biodiesel. For proposed ANN model, the data required for training
and testing was collected from single cylinder four stroke Diesel engine blended with biodiesel fuel and
operated at different loads. Engine loads, Biodiesel blends and compression ratio were used as input
parameters and break thermal efficiency and specific fuel consumption were used as performance
parameters. Using some of the experimental data for training and testing, based on the back propagation
algorithm ANN model was developed to predict the performance. ANN predictions results were
compared with the experimental results. ANN results showed a good correlation between the predicted
values and experimental values. This shows that ANN can be used as an alternative to classical modeling
techniques.
Image Stegnography Using Adaptive LSB Substitution
Satish Chandrakant Chikhale, Prof. Bhosale S.A
ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]
ABSTRACT
Steganography is the art and science of hiding the secret data into an image so that it can be securely
transmitted over a network. Any digital file such as image, video, audio, text or IP packets can be used to
hide secret message. Generally the file used to hide data is referred to as cover object, and the term stego-
object is used for the file containing secret message. Among all digital file formats available nowadays
image files are the most popular cover objects because they are easy to find. Steganography has many
technical challenges such as high hiding capacity and imperceptibility. This paper proposes a novel
steganography scheme based on Least significant bit. And we create a four digit password while hiding
and extraction. The optimal pixel adjustment process is applied after embedding the message. We use
LSB for hiding secret data.