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    Prof. Dr. Stefan Heiss

    Master-IT: Project work WS 2011/2012

    Integration of a Trusted Platform Module (TPM) into a

    NIOS II system

    Area: IT Security / SW Development

    Description

    Trusted Platform Modules (TPM) are mainly integrated in Office PCs. The interface used with

    a PC (LPC) is not suited for use in small embedded devices like the NIOS II platform. But there

    also exists TPMs with an I2C interface which might be a good option to be used with

    embedded platforms.

    Assignment of tasks

    The goal of this Project is to connect a TPM with an I2C-Interface with a NIOS II development

    board. In particular, in carrying out this project work you should

    learn TPM basics,

    integrate an I2C IP-core in Alteras NIOS II system,

    develop a basic software module to test the communication with the TPM.

    Prerequisites: Programming knowhow in VHDL / C

    Contact: Prof. Dr. Stefan Heiss [email protected](Supervisor)

    M.Sc. Stefan Hausmann [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Heiss

    Master-IT: Project work WS2011/2012

    Tunneling layer 2 protocols over IPSec

    Area: Network Security

    Description

    With IPSec there exists a layer 3 protocol to secure IP traffic. To secure protocols which are

    defined on layer 2 of the ISO/OSI model (like Ethernet based protocols to be used in

    industrial automation application) the usage of IPSec with a tunneling protocol might be an

    option.

    Assignment of tasks

    The goal of this project work is to evaluate layer 2 tunneling protocols. In particular, in

    carrying out this project work you should

    identify tunneling protocols which are suitable to be used with IPSec,

    build up a test system to evaluate the operation of these protocols,

    measure the performance overhead introduced by the application of tunneling

    protocols.

    Prerequisites: Good knowledge about network protocols

    Contact: Prof. Dr. Stefan Heiss [email protected](Supervisor)

    M.Sc. Stefan Hausmann [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Heiss

    Master-IT: Project work WS2011/2012

    Vulnerability tests of industrial automation

    components

    Area: Network Security

    DescriptionThis project work will be carried out in the context of the research project VuTAT (Vulnerabi-

    lity Tests of AT-Components). The main target of VuTAT is the development of a framework

    to analyze and identify vulnerabilities of different components used in the field of

    automation (AT), which are using Ethernet based communication protocols. The framework

    shall allow an easy application by a non IT security specialist, in particular by developers and

    quality assurance personnel during the product development and testing phases. Finally, a

    PC based test environment has to be developed, which allows an almost automated

    application of the framework.

    Within the VuTAT project a document describing known vulnerabilities or weaknesses of

    Ethernet based protocols and their implementations has been compiled. This document will

    be called VuTAT-DOC in the following project description.

    Assignment of tasks Identify and evaluate available test cases (NASL scripts) from an OpenVAS standard

    installation that are related to vulnerabilities described in VuTAT-DOC. These test

    cases should be generic in the sense that they do not depend on specific properties

    (operating system, etc.) of the components to be tested.

    Develop new NASL scripts to test vulnerabilities described in VuTAT-DOC, but not

    sufficiently covered by scripts contained in the OpenVAS standard installation.

    If necessary, integrate some functionality in the OpenVAS implementation that allows

    reacting on external events (failure status indicated by some external test device).

    Prerequisites: Basic knowledge about network protocols and programming.

    Contact: Prof. Dr. Stefan Heiss [email protected](Supervisor)

    Dipl.-Ing. Andreas [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: Cognitive Radios

    Title:Performance Analysis of Intelligent Hole Detection (IHD) Method.

    Description

    Spectral hole detection provides the base for cognitive decision making. Traditional hole

    detection methods are dumb, in a sense that they merely provide knowledge about the

    instant occupancy of the sensed band and amplitude of the primary signal. Consequently,underlying radio platform can not fully exploit orthogonal oppertunities available in

    coexisting environments. As an example, a radio system capable fo choosing CDMA don t

    need to switch frequency or find temporal gaps in current channel if it can know that a

    CDMA based primary user is active. It can simply choose an orthogonal code to safly coexist

    in an already occupied channel. Similarly, there can be many other orthogonal oppertunities

    with repect to polarization, diversity, MIMO etc. all of which needs enough situational

    knowledge. Intellegent hole detection provides this situational knowledge, which requires

    identification of coexiting systems and inclusion of a radio knowledge base (RKB) for

    documented information of primary systems of interest.

    There are two important constituents of IHD, one is situational knowledge and the other oneis a radio platform capable to tune available orthogonal oppertunities. This project is

    proposed to implement a 2-FSK based system which can optionally choose CDMA and can

    tune its frequency and transmission power and implements traditional energy detection

    based energy sensing (but not signal classification). Eventually, a reconfiguerable platform

    will be availabe that would be able to exploit frequency, time, power and code dimensions.

    While doing experiments for comparison of dumb hole detection (DHD) and IHD, perticular

    coexisting scenerio will be created and hardcoded to the IHD based system as proxy to

    classification based situational knowledge. A USRP2 based system should be used for

    implementation.

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: Robotics / Communication

    Title: Energy consumption / billing monitor for charging mobile devices

    Description

    Mobile robots are typically powered electrically and need to be recharged frequently. This

    charging can also be realized without a wired connection. The task is to design an energy

    counter for such a wireless charging station, keeping track of the supplied robots and

    accumulating the individual energy consumption. This includes implementing a serial

    interface to the charger, reading specific parameters and visualizing the supplied energy on a

    PC.

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: RFID, industrial communications

    Title: Traffic Analysis for RFID Devices

    Description:

    Contactless communication through RFID / NFC is commonly used today in logistics,

    entrance control or general identification. The information is exchanged by means of a

    varying electromagnetic field. The task is to find a solution for reading typical protocols likeISO 14223, 14443 or 15693 in the LF and/or HF range. Furthermore, a PC-based analysis and

    interpretation of the captured traffic is to be implemented.

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: Intelligent sensors, robotics

    Title: Measuring small capacitances to achieve a position detection

    DescriptionAccurate position detection has always been an important field within the automation

    industry. One way to retrieve the position on a defined linear system is to evaluate a

    capacitance which is related to a specific distance. There are specific ICs available for readinga capacitance and converting it into a digital value (Analog Devices AD7151, for instance).

    The task is to implement a capacitance-to-digital converter, test it on a given linear system

    and visualize the measured values.

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work SS2011

    Topic: Inductive data transmission

    Area: Industrial Communication

    Fields: Electronics, HW-Development, Measurements

    DescriptionFor a contactless energy and data-transmission system an inductive Communication shall be

    evaluated. For a point to point transmission system an ASK-based transmitter shall be

    evaluated and used to realize a contactless data transmission between two microcontrollers.

    Tasks:- Help to evaluate and develop the Hardware

    - Implement the communication on a Microcontroller in C (Bit-Stream Based)

    - Demonstrate the functionality

    - Measure the Performance, make calculations

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: Cognitive Radio

    Title: Statistical Parameter Estimation Using Narrowband Sensors

    Description

    Modeling transmission characteristics is useful for decision making in cognitive radio systems

    and the identification of a good model highly relays on the quality of training data. While,the quality of the training data depends on two properties, these are noiselessness and

    completeness. Narrowband sensing platforms are expected to always miss some radio

    events which makes the completeness a unique limitation of these platforms. As a solution,

    it is proposed to formulate the narrowband sensing as a problem of learning using

    incomplete training data.

    The primary intention is to investigate learning methods that can allow estimating statistical

    parameters (such as mean, variance, arrival rate etc.) of transmission characteristics of radio

    systems with a comparable accuracy to that of wideband sensors. For proof of concept

    suitable state-of-the-art modeling methods (For example linear prediction coefficient,

    Poisson based model, Markov Models etc.) can be used to compare the performance ofsuggested narrowband parameter estimation methods with that of wideband methods.

    Proposed method needs to be implemented using USRP2 based platform and its

    performance should be compared in 2.4 GHz ISM band with real-time spectrum analyzer,

    which will be taken as a reference wideband sensor.

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Stefan Witte

    Master-IT: Project work WS 2011/2012

    Area: Cognitive Radios

    Title: Predictive Modeling for Coexistence Optimization using Markov Models

    Description:

    Typically, cognitive radio systems either sense the channel just before transmission or

    perform this task periodically in order to remain aware about the operational environment.The former method is typically known as reactive sensing, while the latter one as proactive

    sensing. Apart from when to sense, both methods are similar in nature, because both

    methods decides about the availability of sensed channel on the basis of information

    obtained during the sensing process. However, a channel sensed as free can become busy

    during the transmission of cognitive system resulting in harmful collision and unnecessary

    interruption for the cognitive radio system.

    As a solution, a predictive modeling based approach is has been proposed and has shown

    promising results in simulated environments. Since real-time dynamic environments offer

    unique challenges that can not be fairly represented using simulations, it is necessary to

    realize real-time demonstrators. An additional restriction is to research the use of MarkovModels in this demonstrator as they are already being used successfully in other wireless

    application (for example Viterbi Algorithm).

    USRP2 based system should be used for this demonstrator. (However, it is possible to define

    this project only for simulated environments with slightly changed specification)

    Contact: Prof. Dr. Stefan Witte [email protected](Supervisor)

    mailto:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Jrgen Jasperneite

    Master-IT: Project work WS 2011/2012

    Area: Simulation and Visualization

    Title: 3D Visualization of virtual automation systems

    Description3D Visualization of virtual automation systems (e.g. Lemgoer Modell Fabrik (LMF),

    Industrial robots, etc.)

    The task involves animating the existing 3D model of the LMF using the information

    (sensor/actuator values) available via an OPC server and OPC client architecture.

    Area: Comparative Study (software testing)

    Title: Evaluation of existing Programmable Logic Controller (PLC) software testingtechniques.

    Description

    The task involves evaluating the existing PLC testing techniques and realizing some of these

    techniques to support the evaluation.

    Area: Comparative Study (Software testing)

    Title: Evaluation of existing mutant analysis techniques for software testing.

    Description

    The task involves evaluating the existing mutant analysis techniques and realizing some of

    these techniques to support the evaluation.

    Contact: Prof. Dr. Jrgen [email protected]

    M.Sc. Barath [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Jrgen Jasperneite

    Master-IT: Project work WS 2011/2012

    Area: Software development, wireless communication.

    Title: Development of a remote control system used to drive a robot utilizing indoorlocalization services.

    Description:Having knowledge about the position of the mobile node and position of obstacles in the

    environment it is possible to control movements of a robot avoiding collisions. That wouldbe especially beneficial in a scenario with many moving modes which may collide. A

    Software controlling and tracking movement of nodes to avoid possible collisions will be the

    main objective of this project work. The communication with the robot will be realized using

    Bluetooth technology.

    Contact: Prof. Dr. Jrgen [email protected]

    Mgr. inz Lukasz Wisniewski [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Jrgen Jasperneite

    Master-IT: Project work WS 2011/2012

    Area: Real-time communication, hybrid wired-wireless networks, prediction methods.

    Title: An analysis of methods and algorithms used to predict and detect topology changesin the hybrid wired-wireless networks.

    Description:

    In the hybrid wired-wireless network systems the topology may change dynamically due tothe mobile nodes moving along their paths. Such changes may require some efforts to

    guarantee that the Quality of Service (QoS) of the critical nodes (communicating in real-time)

    will be satisfied. Therefore, it is vital to know in advance when such topology change

    happens and how the topology will look like.

    Contact: Prof. Dr. Jrgen [email protected]

    Mgr. inz Lukasz Wisniewski [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Jrgen Jasperneite

    Master-IT: Project work WS 2011/2012Area: Real-time Ethernet: 802.1 Audio Video Bridging (AVB)

    The broad range of industrial applications leads to many different requirements, which must

    be fulfilled by real-time communication systems. Because of the low cost and higher data

    transfer speed, industrial automation vendors adopted the Ethernet to enable such real-time

    communication. Since the existing Ethernet (IEEE 802.3) cannot meet stringent timing

    requirements, many extensions are introduced during the last decade to improve the temporal

    behaviour. One of the emerging protocol is IEEE 802.1 AVB which is an enhancement to the

    IEEE 802.3 Ethernet standard. In addition to standard Ethernet, AVB supports precise

    synchronization, traffic shaping for media streams, admission controls, and identification of

    non-participating devices. Since AVB is an emerging standard, there exist several topics that

    require further investigation. Some open topics include:

    Topic 1: Evaluating 802.1 QAT in relation with configuration requirements of

    industrial networks

    Description: 802.1 AVB based network works without engineering tool (the networkconfigures itself as Plug-and-Play). In industrial communication systems for the planning of

    IO devices and PLC programming, specialized communication planning engineering tool are

    used. It will be interesting to investigate how that fits together? A simulation model

    demonstrating possible mechanisms.

    Topic 2: Investigation of redundancy options for 802.1 AVB based industrialnetworks

    Description: Evaluation of various possibilities of redundancy support for 802.1 AVBbased industrial network. What extensions may require in AVB sub specifications? A

    simulation model demonstrating possible mechanisms and case studies.

    Topic 3: 802.1 AVB based traffic classification in relation to industrial

    networks

    Description: Ethernet AVB infrastructure to transport state of the art real time Ethernet(RTE) protocols. Tunnelling the RTE communication through the AVB network. What are

    the performance impacts to the network latency? A simulation to evaluate QoS characteristics.

    For the functional and performance evaluation of communication networks, discrete event

    simulation approach is widely used (e.g OMNet ++). Which require some skills in the

    programming language C++ and basic knowledge in statistics.

    Contact: Prof. Dr. Jrgen [email protected]

    Mgr. inz Lukasz Wisniewski [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Thomas Korte

    Master-IT: Project work WS 2011/2012

    Area:Software Engineering for Web Services, Web Service Based Instrumentation

    Title:Development of a RESTful Web Service to Access Test and Measurement

    Instruments with SCPI interfaces

    Project Background:

    For automated test and measurement tasks, modern electronic test and measurementinstruments (oscilloscopes, analyzers, generators, multimeters) communicate with computer

    systems via a LAN, USB, or GPIB interface using Standard Commands for Programmable

    Instruments (SCPI). The range of application programs and instrument drivers is dominated

    by platform dependent, proprietary software products (e.g. LabView by National

    Instruments). This project intends to bring object oriented, web enabled, platform

    independent software technology to this kind of applications.

    Project Aim:

    The idea is, that an SCPI equipped instrument offers its capabilities as a RESTful Web service

    using the platform independant Java technology. Since there is a broad range of differentequipment offering 3 kinds of computer interfaces (LAN, USB, or GPIB), object orientedgeneralization structures should be used to classify instruments, instrument commands, and

    hardware interfaces. Via the RESTful web interface, it must be possible to initialize an

    instrument, sent any SCPI command to it, and receive its response.

    To test the RESTful web services for various instruments, a prototype Web application

    should be developed, that lets a user enter SCPI commands and displays the data returned

    from the instrument.

    The Design Problems to Solve: Finding a suitable abstraction for the hardware interfaces

    Finding a suitable abstraction for the class of he instrument Finding a suitable classification scheme for the SCPI commands

    References1. Using XML and Java for Astronomical Instrument Control:

    http://www.adass.org/adass/proceedings/adass99/O8-03/

    2. SCPI-Spezifikation:www.ivifoundation.org/docs/SCPI-99.PDF

    3. The JPIB project: Java & IEEE488 integration:http://jpib.sourceforge.net/

    Contact: Prof. Dr. Thomas [email protected]

    http://www.adass.org/adass/proceedings/adass99/O8-03/http://www.adass.org/adass/proceedings/adass99/O8-03/http://www.ivifoundation.org/docs/SCPI-99.PDFhttp://www.ivifoundation.org/docs/SCPI-99.PDFhttp://www.ivifoundation.org/docs/SCPI-99.PDFhttp://jpib.sourceforge.net/http://jpib.sourceforge.net/http://jpib.sourceforge.net/mailto:[email protected]:[email protected]:[email protected]:[email protected]://jpib.sourceforge.net/http://www.ivifoundation.org/docs/SCPI-99.PDFhttp://www.adass.org/adass/proceedings/adass99/O8-03/
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    Prof. Dr.-Ing. Volker Lohweg

    Master-IT: Project Work WS 2011 / 2012

    Topic: Adaptive Error detection in surfaces

    Area: Industrial Image Processing

    Start: September 2011

    Partner: Industry Project

    Tool: Matlab/SimulinkPrequisites: Programming know-how in Matlabs m-language

    Description:

    The surface inspection accords a high importance in industrial production, because the product

    quality depends on the visual representation apart from the reliable functionality. Especially in the

    area of mass-production there is a general need for fast and automated surface inspection.

    The aim of this project is to localise errors in homogeneous and slightly granular surfaces. The

    algorithm has to be adapted to the surface by estimating the main spatial frequencies in the imagesand afterwards using this information to cluster the surface structure and topology. The defect

    detection is done by calculating local statistics based on the probability density without the need for

    training specific references.

    Tool: Matlab/SimulinkPrequisites: Programming Know-how in Matlab m-language

    Contact:Scientific Assistant: M.Sc. Karl [email protected]

    Supervisor: Prof. Dr.-Ing. Volker [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr.-Ing. Volker Lohweg

    Master-IT: Project Work WS 2011 / 2012

    Topic: Mapping surfaces for error detection

    Area: Industrial Image Processing

    Start: September 2011

    Partner: Industry Project

    Tool: Matlab/Simulink

    Prequisites: Programming know-how in Matlabs m-language

    Description:

    The surface inspection accords a high importance in industrial production, because the product

    quality depends on the visual representation apart from the reliable functionality. Especially in the

    area of mass-production there is a general need for fast and automated surface inspection.

    In general products contain apart from homogeneous and slightly granular surfaces also areas withinhomogeneity (like edges, etc.). The aim of this project is to map the surface by using local support

    frequency based algorithms. The defect detection is executed by calculating local statistics on

    homogenous areas.

    Tool: Matlab/SimulinkPrequisites: Programming Know-how in Matlab m-language

    Contact:

    Scientific Assistant: M.Sc. Karl [email protected]

    Supervisor: Prof. Dr.-Ing. Volker [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr.-Ing. Volker Lohweg

    Topic:

    Evaluation of Automatic Fuzzy-Pattern-Classifier

    Training Methods

    Area: Pattern Recognition / Sensor Fusion / Machine-Diagnosis

    Start: September 2011

    Partner: granted Research Project

    Tool: Matlab/Simulink

    Prequisites: Programming know-how in Matlabs m-language, mathematical know-

    how

    Description:

    Learning a Fuzzy-Pattern-Classifer is nowadays still heuristically driven. Automatic training

    approaches may help improving learning situations, for example when only a small number

    of training examples are available. The PMFPC approach was addressed recently, but may

    yield results which are insufficient in the application's context. This approach is to be

    evaluated using various data sets to confirm its performance or exploit improvement

    potentials.

    Contact:Scientific Assistant: M. Sc. Uwe [email protected]

    Supervisor: Prof. Dr.-Ing. Volker [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr.-Ing. Volker Lohweg

    Topic:

    Feasibility Study for the Detection of Faults on

    Extruded Plastic Pipes

    Area: Image Processing and Pattern Recognition / Sensor Fusion / Machine-

    Diagnosis

    Start: September 2010

    Partner: granted Research Project

    Tool: Matlab/Simulink

    Prequisites: Programming know-how in Matlabs m-language, mathematical know-

    how

    Description:

    The detection of faults on plastic surfaces is state of the art. Although, this task becomes

    challenging on curved plastic pipes. On those surfaces, different types of errors exist. Those

    have to be detected in first place and, secondly, be classified into different fault classes.

    The task of this student research project is to develop a technique for fault detection on

    those curved surfaces. All necessary tools like cameras, illumination, and software shall beselected. In a second step the necessary image processing algorithms shall be researched.

    Contact:

    Scientific Assistant: Dipl.-Ing. Alexander Dicks [email protected]

    Supervisor: Prof. Dr.-Ing. Volker [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Oliver Niggemann

    Topic:

    Evaluation of a Multi-Platform ProcessMonitoringArchitecture for Distributed

    Industrial NetworksProcess monitoring is a more and more important task for automation systems today. In terms

    of condition and energy monitoring, lots of data has to be collected accurately. It is desirable,

    for machine diagnosis and process optimization,to make the data available in a versatile and

    standardized way.The Fraunhofer IOSB-INA implemented a Software Architecture for this

    purposes which has to be tested accurately. This architecture is able to monitor process data

    exchanged via industrial Ethernet protocols like PROFINET, EtherCAT or Modbus/TCP

    and it can provide the process data together with a certain semantic to several Clients via theOPC UA technology.

    First, different software testing approaches like

    - Fuzzing- White Box / Black Box Tests- Equivalence Partitioning- Boundary Analysis- Error Guessing- Stress Test- Etc.

    should be evaluated and the appropriate testing methods for this special architecture have to

    be chosen. Secondly, it should then be used to test the functionality of single modules as well

    as the complete system functionality.

    If you are interested in this special topic and have a strong focus on the following interests

    you could be the perfect fit for us:

    - Software Design- Programming Language C- (Industrial) Ethernet: Modbus/TCP, PROFINET, EtherCAT

    OPC Technology (OPC UA)

    Contact:

    Alexander [email protected]

    Florian [email protected]: Prof. Dr. Oliver [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Prof. Dr. Oliver Niggemann

    Topic:

    Using AutomationML for extraction of

    information for PLC programmingThe engineering of manufacturing systems has been changed within the last years.Based on

    the increasing application of intelligent software tools the programming and configuration of

    control devices can be made on higher abstraction layers than before. In parallel the usable

    amount of control devices, information processing units, and engineering tools has increased.

    Several vendors have developed their own tool sets to

    enable a most efficient application of their devices. Hence, a very heterogeneous tool

    landscape has been established. This trend will continue.

    The new file format AutomationML, which is still in development state, tries to overcome the

    very heterogeneous tool landscape by providing a unique format for exchange of engineeringinformation.

    In a first step, the AutomationML standard has to be reviewed and evaluated for the ability to

    extract useful information for PLC programming. Here, a detailed knowledge about the

    process of PLC programming is useful. The aim of this work is a list of information that can

    be extracted from AutomationML files.

    Contact:

    Sebastian [email protected]: Prof. Dr. Oliver [email protected]

    mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]
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    Contact:

    Prof.Dr.UweMeier [email protected]

    M.Sc.KaleemAhmad [email protected]

    MasterIT: ProjectworkWS2011/2012

    Area: CognitiveRadio

    Title:StatisticalParameterEstimationUsingNarrowbandandWideband

    Sensors

    Description

    Modeling transmission characteristics isuseful fordecisionmaking in cognitive radio (CR)

    systems. The identification of a goodmodel highly relies on the quality of training data.

    While, thequalityof the trainingdatadependson twoproperties, thesearenoiselessnessandcompleteness.Narrowbandsensingplatformsareexpectedtoalwaysmisssomeradio

    eventswhichmakesthecompletenessauniquelimitationoftheseplatforms.

    Asasolution, it isproposedtoformulatethenarrowbandsensingasaproblemof learning

    using incomplete training data. Such problems are often solved by either improving the

    qualityofacquireddataorbychoosingparameterestimationmethodswhicharerobustto

    incompleteness.Theprimaryintentionistoinvestigatelearningmethodsthatcanaccurately

    estimate statistical parameters (mean, variance etc. referred by i) of transmission

    characteristicsofprimarysignalsusingnarrowbandsensors.

    Tasks:1. StateoftheartsurveyonpredictivemodelingstrategiesforCRsystems.2. Investigatestateoftheartmethodsforlearningusingmissingdataandinvestigate

    theirsuitabilityfornarrowbandlearningproblems.Shortlistthreemostsuitable

    methods.

    3. CreateacoexistingscenarioandcaptureitusingrealtimespectrumanalyzerforpostprocessinginMATLAB/Simulink.Computestatisticalparameters(REF)ofthisdata.It

    willbelaterusedasreferenceforperformancecomparison.

    4. Simulatenarrowbandsensingandapplyselectedmethodstocompute i.Compareitwith REF.

    [1] Hyoil Kim; Shin, K.G.; , "Efficient Discovery of Spectrum Opportunities withMACLayer Sensing inCognitiveRadioNetworks,"MobileComputing,IEEETransactionson,vol.7,no.5,pp.533545,May2008

    [2] AlanC.Acock,;WorkingWithMissingValues,JournalofMarriageandFamily,Volume67,Issue4,pages10121028,November2005

    [3] YangYuan,;MultipleImputationforMissingValues:ConceptsandNewDevelopment,SASInstituteInc.,SUGIProceedings,2000

  • 8/3/2019 IT Master Projects 2011 1 (1)

    23/23

    Contact:

    Prof.Dr.UweMeier [email protected]

    M.Sc.KaleemAhmad [email protected]

    MasterIT: ProjectworkWS2011/2012

    Area: CognitiveRadios

    Title:PredictiveModelingforCoexistenceOptimizationusingMarkovModels

    DescriptionTypically, cognitive radio systems either sense the channel just before transmission or

    performthistaskperiodicallyinordertoremainawareabouttheoperationalenvironment.

    Theformermethodistypicallyknownasreactivesensing,whilethe latteroneasproactive

    sensing. Apart from when to sense, both methods are similar in nature, because both

    methodsdecide about the availabilityof the sensed channel on the basisof information

    obtainedduringthesensingprocess.However,achannelsensedasfreecanbecomebusy

    during the transmission of the cognitive system resulting in harmful collision and

    unnecessaryinterruptionofthedatatransmission.

    As a solution, a predictivemodeling based approach has been proposed and has shown

    promising results in simulatedenvironments.Thisprojectworkwill investigate theuseof

    MarkovModelsforpredictivemodelingofprimaryusertrafficastheyarealreadybeingused

    successfullyin

    other

    wireless

    application.

    Tasks:

    1. StateoftheartsurveyonpredictivemodelingstrategiesforCRsystems.2. Theoretical analysis of Markov models to model the spectral usage. IEEE 802.11

    basedWLANshouldbeselectedasprimaryuser.

    3. Investigate the influenceofdifferent traffic typesof selectedprimaryusers touseMarkovmodels.

    4. TheoreticalanalysisofcomputationofdifferentprobabilisticparametersofMarkovmodels.

    5. UseMATLAB/SimulinkorUSRP2basedplatformtodemonstratetheperformanceofMarkovmodels.

    [1] Geirhofer, S.; Lang Tong; Sadler, B.M.; , "COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space,"

    CommunicationsMagazine,IEEE,vol.45,no.5,pp.6672,May2007[2] Hyoil Kim; Shin, K.G.; , "EfficientDiscovery of SpectrumOpportunitieswithMACLayer Sensing in

    CognitiveRadioNetworks,"MobileComputing, IEEETransactionson ,vol.7,no.5,pp.533545,May2008