Abschlussarbeiten

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Hinweis zur Sprache: Im Folgenden werden die verfügbaren Themen hauptsächlich auf Englisch aufgelistet. Bei der Bearbeitung eines Thema steht es Studierenden frei, sich entweder für Deutsch oder Englisch als Sprache für die Ausarbeitung zu entscheiden.

Themen nach Abschluss

Bachelor-Arbeiten


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Matousek, Matthias
Machine Learning with TensorFlow Federated
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA MatthiasMatousek

Abstract: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

2.
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Matousek, Matthias
Machine Learning with TensorFlow Privacy
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA PROJEKT MatthiasMatousek

Abstract: Machine learning offers great opportunities, but also comes with risks. Especially the privacy risks are becoming more prevalent in the discussions about machine learning. Recently, Google published a machine learning library called TensorFlow Privacy. Its goal is to make it easier for developers and researchers to build privacy-preserving machine learning models. Specifically, it utilizes Differential Privacy, which mathematically guarantees that the training data to create the models is protected from being extracted. The goal of this thesis or project is to become familiar with the TensorFlow Privacy library, to understand and be able to explain the techniques which are implemented in it, to be able to build privacy-preserved machine learning models, and possibly to implement own protection techniques that could enhance the TensorFlow Privacy library.

1.
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Engelmann, Felix
Extension of a Monero Wallet
Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA BACHELOR BA PROJEKT FelixEngelmann

Abstract: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

Master-Arbeiten


7.
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Matousek, Matthias
Machine Learning with TensorFlow Federated
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA MatthiasMatousek

Abstract: To build powerful machine learning models, lots of data is required. However, obtaining the data comes with privacy risks for the people or entities that provide their data. Recently, Google published TensorFlow Federated - an open source framework to allow machine learning on decentralized data. The approach of federated learning makes machine learning in the age of mobile devices and wearables both more efficient, as well as more privacy-friendly. The goal of this thesis or project is to become familiar with the TensorFlow Federated framework, to understand and be able to explain the techniques which are implemented in it, to be able to build machine learning models in a federated way, and possibly to implement own enhancements of the framework.

6.
default
Matousek, Matthias
Machine Learning with TensorFlow Privacy
Master's thesis, Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA MASTER MA BACHELOR BA PROJEKT MatthiasMatousek

Abstract: Machine learning offers great opportunities, but also comes with risks. Especially the privacy risks are becoming more prevalent in the discussions about machine learning. Recently, Google published a machine learning library called TensorFlow Privacy. Its goal is to make it easier for developers and researchers to build privacy-preserving machine learning models. Specifically, it utilizes Differential Privacy, which mathematically guarantees that the training data to create the models is protected from being extracted. The goal of this thesis or project is to become familiar with the TensorFlow Privacy library, to understand and be able to explain the techniques which are implemented in it, to be able to build privacy-preserved machine learning models, and possibly to implement own protection techniques that could enhance the TensorFlow Privacy library.

5.
default
Engelmann, Felix
Extension of a Monero Wallet
Bachelor's thesis, Project
Institute of Distributed Systems,
2019
in preparation

Tags: ABSCHLUSSARBEIT AA BACHELOR BA PROJEKT FelixEngelmann

Abstract: The goal of this project is to extend the Monero project [1] to support an additional transaction type. The transaction itself is already implemented, but is not integrated into the cli tools and the consensus mechanism. A good knowledge of C++ is required and a basic understanding of cryptocurrencies is helpful. The evaluation of the project consists of creating a cli demo in a test setup.

4.
default
Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in preparation

Tags: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Abstract: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy

3.
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Erb, Benjamin and Meißner, Dominik
Interactive exploration of event-sourced graphs
Master's thesis or individual lab project
Institute of Distributed Systems,
2018
in preparation

Tags: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Abstract: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

2.
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Engelmann, Felix
Blockchain Explorer
Projekt
Institute of Distributed Systems, Ulm University,
2017
in preparation

Tags: PROJEKT, FelixEngelmann

Abstract: In dem Projekt soll eine Webanwendung entstehen, die Daten aus einer Blockchain visualisiert und mit zusätzlichen Informationen aufbereitet. Für die bekannten Blockchains wie Bitcoin und Ethererum existieren Portale wie z.B. etherscan.io , die detaillierte Informationen über die jeweilige Blockchain anzeigen. Für den Einsatz in der Industrie sind diese öffentlichen Blockchains jedoch nicht zuverlässig genug. Deshalb betreut das SAMPL Projekt eine eigene Blockchain, die auf Ethereum aufbaut und speziell für Lizenzverwaltung ausgerichtet ist. Dafür soll nun ein Explorer entwickelt werden der den gleichen Komfort bietet wie die existierenden Plattformen. Die Rohdaten können per REST API bezogen werden, sollten dann aber für die Verwendung aufbereitet werden und in einer durchsuchbaren Datenbank abgelegt werden. Die UI sollte durch eine zeitgemäße Webseite geschehen. Testprojekte gibt es mit node.js und angular, jedoch ist verwendete Technologie egal, solange die Software zuverlässig im Produktivbetrieb eingesetzt werden kann.

1.
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Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in preparation

Tags: MA, DA, AA, FrankKargl, privacy, mobile

Abstract: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Themen nach Schwerpunkt

Netzwerke


No references have been found.

Mobile Systeme


2.
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Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in preparation

Tags: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Abstract: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy

1.
default
Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in preparation

Tags: MA, DA, AA, FrankKargl, privacy, mobile

Abstract: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

Distributed Computing


1.
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Erb, Benjamin and Meißner, Dominik
Interactive exploration of event-sourced graphs
Master's thesis or individual lab project
Institute of Distributed Systems,
2018
in preparation

Tags: AA, MA, PROJEKT, BenjaminErb, FrankKargl, sidgraph, distributed, DominikMeissner

Abstract: The chronograph platform is a system for computing on evolving graphs. One module of the platform should provide an interactive user interface for exploring the history, evolution, and topology of the graph. The goal of this project is the design and implementation of a scalable, web-based user interface for the exploration of chronograph data.

Privacy


1.
default
Kargl, Frank
Privacy Management using Differential Privacy in ITS
Master- oder Diplomarbeit
Institut für Verteilte Systeme, Universität Ulm,
April 2013
in preparation

Tags: MA, DA, AA, FrankKargl, privacy, mobile

Abstract: Joint project between University of Ulm, Germany and NICTA Sydney, Australia. Differential Privacy is a rather new concept that enables practically feasible privacy controls and formal guarantees to be implemented. In a recent publication, we have started to look how Differential Privacy can be used in the context of Intelligent Transportation Systems and Car-to-X communication and have identified a couple of open challenges. We have outlined how differential privacy can be integrated into the PRECIOSA Privacy-enforcing Runtime Architecture and identified a number of future research questions one being how to manage the appearing trade-off between data accuracy, privacy, and availability of data. The master thesis requires to work into the fields of Differential Privacy, Intelligent Transportation Systems, and the PRECIOSA project results based on available literature and material followed by conceptual work that should extend our existing proposal. A proof-of-concept implementation should then allow some practical analysis of the feasibility and achievable data accuracy based on Floating Car Data captured in real experiments. There is the option to work on the thesis during an internship at the NICTA in Sydney, Australia. Because of the need to apply for travel funding, this would require a longer-term planing before starting the work.

IT-Sicherheit


No references have been found.

Fehlertoleranz


No references have been found.

Cloud Computing


No references have been found.

Multimediakommunikation


No references have been found.

Weitere Themen


1.
default
Mehdi, Muntazir
Controlled Neurofeedback using Mobile EEG and Smartphone
Master's thesis
Institute of Distributed Systems,
2018
in preparation

Tags: ABSCHLUSSARBEIT, THESIS, Master, AA, MA, MuntazirMehdi, mobile, misc

Abstract: Neurofeedback provides the necessary means to visualize selected and controlled parameters of the brain activity. In healthcare domain, neurofeedback studies enable mitigation of many psychological disorders and illnesses, mainly by therapies that help patients to better self-regulate their brain activity. Electroencephalography (EEG) is the method of monitoring the electrical activity of the brain, thus providing the necessary feedback. In this thesis work, the student is required to survey the current state of frameworks, techniques, or methods that enable coupling of Mobile EEGs with Smartphones. Bluetooth 2.1 with Enhanced Data Rate (EDR) capability is one of the most effective mean of coupling EEGs with Smartphones. The student would therefore be required to work on the Bluetooth stack to acquire real-time data generated from the Mobile EEGs, parse the electrical signal, and visualize the signal semantically. For successful completion of the thesis, the student would be required to identify and address any one of the open challenges faced by the proposed topic. An example of this can be addressing the bandwidth challenges, battery consumption, or signal accuracy