CONTENT220.225.196.141 › docs › ECE-MAGAZINE1.pdf · CONTENT S CONTENTs About the Department...
Transcript of CONTENT220.225.196.141 › docs › ECE-MAGAZINE1.pdf · CONTENT S CONTENTs About the Department...
CONTENTS
CONTENTs
About the Department
Vision , Mission,PEOs,POs and PSOs
Technology Catchment Area
ECE Events
Students Achievements
Placement Corner
Faculty Achievements
Test Your Aptitude
Editorial Board
Inspirational Quotes
ABOUT THE DEPARTMENT
The Department of Electronics and Communication
Engineering is established in the year 1998. In 2011
, the department started Post Graduate program,
M.E. degree in Communication and Networking.
The Department has 22 highly qualified and well
experienced faculty members. It is well equipped
with fully air conditioned laboratories in the areas
of Microprocessors and Microcontrollers, VLSI,
Digital Signal/Image Processing, Microwave and
Optical Communication to cater the present academ
ic and industry requirements. The Department is
recognized as Research Center by Anna University,
Chennai. The Department is conducting various
workshops and seminars to update students and
faculty members with the knowledge of emerging
fields towards industrial applications.
VISION AND MISSION
“To make the Department of Electronics
and Communication Engineering of this
Institution the unique of its kind in the
field of Research and Development
activities in this part of world”.
VISION
“To impart highly innovative and technical
knowledge in the field of Electronics and
Communication Engineering to the urban
and unreachable rural student folks through
Total Quality Education”.
MISSION
PEO1:To establish a strong foundation in
Electronics and Communication Engineering
necessary to formulate, model, analyze and
solve real time problems.
PEO2. To inculcate professional skills and life
skills for placement or to pursue higher
studies in the relevant fields.
PEO3. To promote research and development
activities and solve industrial problems with
creative ideas.
PROGRAM EDUCATIONAL
OBJECTIVES
PEOs
Pos & PSOs
PO/
PSO
Statement Learning Level
PO 1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering f
undamentals and an engineering specialization for the solution of complex engineering
problems.
K3
APPLY
PO 2 Problem analysis: Identify, formulate, research literature and analyze complex engine
ering problems reaching substantiated conclusions using first principles of mathematics
, natural sciences and engineering sciences.
K4
ANALYZE
PO 3 Design/development of solutions: Design solutions for complex engineering problem
s and design system components or processes that meet the specified needs with appro
priate consideration for public health and safety, and cultural, societal, and environmen
tal considerations.
K5
EVALUATE
PO 4 Conduct investigations of complex problems: Use research-based knowledge and res
earch methods including design of experiments, analysis and interpretation of data, and
synthesis of the information to provide valid conclusions.
K5
EVALUATE
PO 5 Modern tool usage: Create, select and apply appropriate techniques, resources
and modern engineering and IT tools, including prediction and modeling to complex e
ngineering activities, with an understanding of the limitations.
K6
CREATE
PO 6 The engineer and society: Apply reasoning informed by the contextual knowledge to
assess societal, health, safety, legal and cultural issues and the consequent responsibiliti
es relevant to the professional engineering practice.
K3
APPLY
PO 7 Environment and sustainability: Understand the impact of the professional engineeri
ng solutions in societal and environmental contexts, and demonstrate the knowledge of
, and need for sustainable development.
K2
UNDERS TAND
PO 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities
and norms of the engineering practice.
K3
APPLY
PO 9 Individual and team work: Function effectively as an individual, and as a member or
leader in diverse teams, and in multidisciplinary settings.
A3
VALUE
PO 10 Communication: Communicate effectively on complex engineering activities with the
engineering community and with the society at large, such as, being able to comprehen
d and write effective reports and design documentation, make effective presentations, a
nd give and receive clear instructions.
A3
VALUE
PO 11 Project management and finance: Demonstrate knowledge and understanding of the
engineering and management principles and apply these to one’s own work, as a memb
er and leader in a team, to manage projects and in multidisciplinary environments.
K3
APPLY
PO 12 Life-long learning: Recognize the need for, and have the preparation and ability to en
gage in independent and life-long learning in the broadest context of technological cha
nge.
A5
CHARACTERIZE
PSO 1 Ability to design and solve problems in the field of Electronics & Communication Engi
neering by applying the knowledge acquired from Electronic Devices and Circuits, VL
SI Design, Embedded systems, Analog & Digital Communication and other allied topi
cs.
K4
ANALYZE
PSO 2 Ability to identify, formulate and solve the industrial problems using efficient technical
approaches and ability to function in any multi-disciplinary work group for technical c
ontribution as well as independent lifelong learner to adapt to changing engineering tec
hnology.
K5
EVALUATE
TECHNOLOGY CATCHMENT AREA
OBJECTIVE
• To automate the MBRT process.
• The second objective is to update the results
of the test to the dairy plant manager’s
mobile.
METHODOLOGY:
The block diagram of the proposed system is
given in the figure 1. The raw milks are
procured from the various farmers of the
nearby geographical region and are kept in the
container. The test samples are collected from
the containers and the MBRT process is carried
out. This MBRT process is monitored by the
camera module and the video footages are give
n to the raspberrypi3 with open cv. Using color
detection machine learning algorithms, the
time taken for the decolorization of the dye is
detected. Based upon the decolorization time,
the milk samples are classified.
INTRODUCTION:
The Methylene Dye Reduction Test commonly
known as MBRT has widely been practiced in
the dairy industries for assessing the
microbiological quality of raw and pasteurized
milk. This test is based on the fact that the blue
color of the dye solution added to the milk get
decolorized when the oxygen present in the
milk get exhausted due to microbial activity.
The sooner the decolorization, worse is the
bacteriological quality of milk assumed to be.
This entire process is being carried out by
human inspection. Now-a-days the milk
industries have automated the entire dairy
process. But the inspection for assuring the
quality of raw milk (MBRT) has not been
automated. Still the inspection process is
dependent on human laborers. Due to the
non-automated MBRT,
Laborers have to conduct the test and inspect
them frequently over the duration of more than
8 hours. Humans are affected by fatigue.
Humans are not accurate as the machines. If the
process is automated, unwanted human
inspection can be avoided.
Automated Methylene Dye Reduction Test (MBRT) for assuring the qu
ality of Raw Milk.
TECHNOLOGY CATCHMENT AREA
Block diagram of the Proposed Method
Class 1. Excellent quality, not decolorized in 8 hours.
Class 2. Good quality, decolorized in less than 8 hours but not less than 6 hours.
Class 3. Fair quality, decolorized in less than 6 hours but not less than 2 hours.
Class 4. Poor quality, decolorized in less than 2 hours.
The results are collected and it is stored in the cloud database. And also, the results are n
otified to the dairy plant manager through his/her mobile.
Prepared by
I. Anbusuriya
P. Hariprasanth
Final year ECE B
Figure 1: The block diagram of the proposed system
TECHNOLOGY CATCHMENT AREA
Breakthrough Technologies in 2019
Last year has proven the designation of The Year of Intelligence since it brought us
a lot of achievements and changes. As the technologies are constantly improving and the prospects
look exciting, some unexpected trends arise, while old-timers merge with each other expanding hor
izons of their impact. The list of the modern trends is long, so we will focus on those that really too
k off at the end of 2018.
This year we expect exponential changes in every technology direction. Machine learning and artif
icial intelligence will transform the entire industries, making way for virtual helpers and myriad ca
ses for automatization. There will be a potential for smart homes and smart cities, with the Internet
of Things (IoT) becoming intelligent.
1.Artificial intelligence will reshape business strategies
2. Block chain will reveal new opportunities in different industries
3. New approaches to privacy and security are coming
4. The Internet of Things will become intelligent
5. Deep learning will be faster and data collection better
6. AI will refine auto constructing and tuning of models
7. The CDO role will grow extensively
8. Self-teaching AI will be more confident without the human data
To conclude, the year 2019 is very promising for technological innovations. We will witness fa
ster and more accurate Machine Learning and AI applications and some new exciting develo
pments. The exponential improvement of technologies will give the ability for the Internet of
Things, NLP, and self-teaching AI to change not only every business industry but also our eve
ryday life.
References:
https://www.forbes.com/sites/louiscolumbus/2015/12/08/10-advanced-technologies-shaping-the-fu
ture-of-manufacturing-predictive-analytics- leads-the-way/#51e459e562b2
ECE Events
Sl.
NoDate Event Resource Person Participants
1. 29/11/2019-30
/11/2019&1/1
2/2019
PCB Design Mr.J.Mathavan,The proprietor,
Green circuit, Chennai
II year ECE
students
2. 26/11/2019&
27/11/2019
Workshop on IOT Mr.Subash,
Techsubha company,
Virudhunagr
II year Elite
students
3. 8/11/2019 hands on Training on E-boxs
tool
Praveen team lead &development
Engineer,Amphisoft technologies
ECE,EIE and
EEE Faculties
4. 12/10/2019 Guest Lecture on
“Introduction to Machine
Learning”
Dr.V.Sathieshkumar,
Asst.Prof,MIT
Third year EC
E A & B
5. 12/10/2019 Guest Lecture on “Current
Issues in Industries”
M.Chinnathambi,
Viasat Pvt Ltd,Chennai
Final year
ECE A &B
6. 12/10/2019 Program Assessment Commit
tee meeting
Dr.V.Sathieshkumar,
Asst.Prof,MIT.
M.Chinnathambi,
Viasat
Academician,
Industrialist,
Parents,
Alumni ,
Faculty and
Students
7. 18/7/2019 Inaugural function "Institute
of Engineers students chapter
”
The Secretary,IE(I), chapter
Madurai, Station Engineer,
All India Radio, Madurai.
ECE Faculty
members.
ECE Events
Sl.
NoDate Event Resource Person Participants
126.11.2019 &
27.11.2019
ECE Association
organized “Workshop
on Internet of Things”
Mr.Subash,
Managing Director,
TechSubha Innovative Solutions,
Virudhunagar
II year ECE
Elite
students
2 12.10.2019
Guest lecture on
Introduction to
Machine learning
Mr.Sathiesh Kumar,
Assistant Professor,
Madras Institute of Technology,
Anna University Campus,
Chennai
III year
ECE
students
3 30.8.2019Guest lecture on python
programming
Mr.Sasikumar,
Senior Software Engineer,
SSi Education,
Madurai
First year
ECE
students
4 3.8.2019Guest lecture on IOT
Products
V.KalayanaRaman and his team
DesignTech System Ltd, Chennai
Faculty
members
from ECE,
EEE,EIE and
Final year
ECE
students
5 27.07.2019
Guest lecture by
Industrial expert on
“Machine learning and
Artificial Intelligence”
Mr.T.Palaniappan,
Senior Project Manager,
Sree Mookambiga Infotech,
Chennai
II year ECE
students
6 29.06.2019Guest lecture on “Test
Engineering”
Ganesan.S,Somashekar,Shrinivas
Mirji,Director and Senior Technica l
experts ,Tessolve Test Engineering,
Bangalore
Faculty mem
bers and IV
ECE and III
ECE
students
7 25.06.2019
Guest lecture on
“Signal Processing
applications for IoT”
DR.M.Sabarimalai Manikandan,
IIT, Bubaneshwar
Faculty
Members
and III year
ECE
students
ECE Events
INAUGURAL FUNCTION OF INSTITUTE OF ENGINEERS
GUEST LECTURE ON “INTRODUCTION TO MACHINE
LEARNING”
GUEST LECTURE ON “EMPLOYABILITY SKILLS”
Student Achievements
Sl No Name Name of the programme Prizes Organizing Institution
1 S.M.Anna Lakshmi NPTEL-Digital Circuits Elite IIT
2 S.Nagalakshmi NPTEL-Digital Circuits Elite IIT
3 M.Nandhini NPTEL-Digital CircuitsSuccessfully
completed
IIT
4 M.Sudaroli NPTEL-Digital CircuitsSuccessfully
completed
IIT
5 G.Sorna Selvam NPTEL-Digital CircuitsSuccessfully
completed
IIT
6 Madhu Sivani NPTEL-Digital CircuitsSuccessfully
completed
IIT
7 S. Pradeepa NPTEL-Digital CircuitsSuccessfully
completed
IIT
8 R.Pavithra NPTEL-Digital CircuitsSuccessfully
completed
IIT
9 A.AmbikaNPTEL_Digital
Switching - I
Successfully
completed
IIT
10 G.Chithra Devi
NPTEL-Principles of
Communication Systems
– Part II
Successfully
completed
IIT
11 V.R.Gayathri Devi
NPTEL-Principles of
Communication Systems
– Part II
Successfully
completed
IIT
12 K.Hindhuja
NPTEL-Principles of
Communication Systems
– Part II
Successfully
completed
IIT
13 M.Shafreen FarhathNPTEL-Data Base
Management SystemsElite
IIT
14 P. Roopa DharshiniNPTEL-Data Base
Management SystemsElite
IIT
Placement CORNER
SL. NO
.NAME OF THE STUDENT NAME OF THE COMPANY
SALARY/ANNUM
* (Rs.)
1 BALA ARUNA M SmartDV2,16,000
2 VARSHA.N Data Pattern, Chennai 2,16,000
3 GAYATHRI R Data Pattern, Chennai 2,16,000
4 NANTHITHAA SHREE R Data Pattern, Chennai 2,16,000
5 SASIKARAN M Infosys 3,60,000
6 BALAARUNA M Infosys 3,60,000
7 PIRAKASH S A Clustrex,Chennai 2,50,000
8 YUVA SHREE S Sri Moogambigai InfoTech 1,80,000
9 SHANMUHAPRIYA.L Sri Moogambigai InfoTech 1,80,000
10 FATHIMA NILOFER.M Sri Moogambigai InfoTech1,80,000
11 Hariharan TCS,Chennai 3,368,75
12 Bharathi.M TCS,Chennai 3,36,875
13 Vijayalakshmi.B TCS,Chennai 3,36,875
14 Pirakash TCS,Chennai 3,36,875
15 Devarajan Just dial 2,40,000
16 Karthikeyan.C Just dial 2,04,000
17 Mukeshsiddarth Just dial 2,04,000
18 Sriram.A CTS4,00,000
HEARTY CONGRATULATIONS!!!
Placement CORNER
SL. NO. NAME OF THE STUDENT Name of the Company SALARY/ANNUM
* (Rs.)
19 DEEPASRI William Wonders 72,000
20 SANTHOSHRAJA TVS, Madurai1,44,000
21 SHANMUHAPPRIYA.L Tessolve Semiconductor Pvt.Ltd 3,36,564
22 DANEL HILTON.WTessolve Semiconductor Pvt.Ltd 3,36,564
23 RAGESHWARI.DTessolve Semiconductor Pvt.Ltd 3,36,564
24 MANOJ RAJ K Indian Navy 2,16,000
HEARTY CONGRATULATIONS!!!
Mr. M.Aarif Hussain, IV ECE
Best Student, ISTE Chapter
Faculty Achievements
Guest Lecturer Delivered/Acted as Resource person
Sl.No Name of the FacultyName of the
Program Organizing Institution
Resource
Person
1 P.AravindATAL Tinkering
Lab-
PKN girls higher secondary
school
Resource
person
2 Mrs.Vidya P Janaki
Implementing
Latest technologi-
es on health care-
using arduino uno
-ATAl Tinkering
Lab
PKN girls higher secondary
school
Resource
person
3Mr.Wesley Moses
Samdoss
ATAl Tinkering
LabPKN girls higher secondary
school
Resource
person
4 Mrs.Vidya P Janaki
Hands training on
working and
application of
sound sensor,color
recognition sensor
and metal touch se
nsor-
ATAl Tinkering
Lab
PKN girls higher secondary
school
Resource
person
5Mr.Wesley Moses
Samdoss
Hands training on
working and
application of
sound sensor, colo
r recognition sens
or and metal touch
sensor-
ATALTinkering
Lab
PKN girls higher secondary
school
Resource
Person
Faculty Achievements
FDP/Seminar/Workshop Attended by Faculty
Sl No Name of the Faculty Name of the Programme Organizing Institution
1 Mrs.Nisharani5G-technologies massive MIMO, millimet
er wave mimo, NOMA,full duplex,NB-Iot
IIT Kanpur held at
Ramaiah institute of
Technology, Bengaluru
2 Mr. P. AravindInternational association of professional c
oaches, therapist and counselors NLP
3 Mrs. T. PrathibaHigh Intense Course on Machine
Learning using matlab
Coimbatore Institute of
Technology, Coimbatore
4 Mr. M. RameshNational Seminar on Antenna
Design 5G test beds
Velammal College of
Engineering and technology,
Madurai
5 Mrs. Vidhya P janakiAdvanced Antenna Pattern Synthesis and
Beam forming with Computation IIT Varangal
6 Dr. C. Geetha Priya
Intensive Training Programme on Comm
unication System design using NI SDR
USRP Platform
Thiagarajar College of
Enginnering, Madurai
7 Mr. P. Aravind
Intensive Training Programme on Comm
unication System design using NI SDR
USRP Platform
Thiagarajar College of
Engineering, Madurai
Test your Aptitudes
Gate Questions
•A metal sphere with 1 m radius and surface charge density of 10 Co
ulombs / m2 is enclosed in a cube of 10 m side. The total outward el
ectric displacement normal to the surface of the cube is
(a) 40 π Coulombs (b)10 π Coulombs (c) 5 π Coulombs (d)No
ne of the above
Soln.
The sphere is enclosed in a cube of side = 10m. using Gaus
s’s law, the net electric flux flowing out through a closed surface is e
qual to charge enclosed.
Apptitude Question
1. A shopkeeper sold an article for Rs. 2500. If the cost price of the a
rticle is 2000, find the profit percent.
1.23%
2.25%
3.27%
4.29%
The Correct answer is (B)
Answer with explanation:
C.P. = Rs. 2000
S.P. = Rs. 2500
Profit or Gain = S.P. -C.P.
= 2500 - 2000 = 500
Editorial Board
1
9
Mr.R.Ashok, AP/ECE
Mr.Alwyn Rajiv, AP/ECE
Inspirational Quotes