Abschlussarbeiten - Lehrstuhl für Informatik III

Die folgende Liste enthält potenzielle Themenbereiche des Lehrstuhls für Bachelor- und Master-Arbeiten sowie für Pratika. Beachten Sie bitte, dass immer die Möglichkeit besteht, aus den obigen Themengebieten weitere Themen für Sie zuzuschneidern. Zwischen den Einzelbereichen soll und darf es auch Überlappungen geben. Die wissenschaftlichen Mitarbeiter des Lehrstuhls bieten oft auf Nachfrage zusätzliche Themen in ihrem Interessengebiet an. Kontaktieren Sie sie gerne auf ihrer persönlichen Website oder benachrichtigen Sie den zuständigen Mitarbeiter der Themengebiete, der Sie dann auf die passende Person verweist.

Weiter unten finden Sie bereits konkrete, vorformulierte Arbeiten aus den genannten Themengebieten.

Netzwerktrends der Zukunft

Dieser Themenbereich beinhaltet Forschungsfragen zu hochaktuellen Internet- bzw. Netzwerktechnologien und -trends, wie zum Beispiel das Internet of Things (IoT), Industrielle Automatisierung, Echtzeit-Ethernet, sowie 5G/6G und Wireless Communication generell. Hierbei können diverse Methodiken zum Einsatz kommen, wie der Aufbau von Mess-Testbeds und Simulationen.

Schlüsselworte: Internet der Dinge, Industrielle Automatisierung, Echtzeit-Ethernet, 5G, 6G, Wireless Communication
Zuständige Person: Dr. Stefan Geißler

Energieeffizienz und Nachhaltigkeit

Einhergend mit den vorherigen Entwicklungen aktueller Netze stellt sich auch die Frage nach dem Energieverbrauch dieser neuartigen Technologien. In diesem Themenblock geht es daher vor allem darum, den Ressourcen- bzw. Energieverbrauch verschiedener Technologien zu evaluieren und im Trade-Off mit anderen Metriken betrachten, beispielsweise der Systemleistung.

Schlüsselworte: Nachhaltigkeit, Energieeffizienz, Green IoT
Zuständige Person: Dr. Frank Loh

Nutzerzentrierte Technologien

In diesem Themenbereich dreht sich alles um die Nutzer von Kommunikationsnetzen und die dazugehörigen Technologien. Das beinhaltet Aspekte wie Group-based Communication (z.B. in WhatsApp), das Evaluieren der Quality of Experience (QoE) von Internet Applikationen (z.B. Streaming oder Short Video Services wie TikTok), beispielsweise mittels Nutzerstudien und Crowdsourcing.

Schlüsselworte: Group-based Communication, QoE, Usability, Explainability, Crowdsourcing, User Studies
Zuständige Person: Nikolas Wehner

Künstliche Intelligenz in Kommunikationsnetzen

Künstliche Intelligenz (KI) und vor allem Machine Learning (ML) sind ein weiteres Thema, was auch für Kommunikationsnetze hochrelevant ist. Das beinhaltet Fragestellungen wie die Erkennung von Anomalien im Netzverkehr (z.B. neue Geräte, Angriffe, Fehler), das Klassifizieren des Netzverkehrs (z.B. in verschiedene Applikationen wie Streaming und Videochat), oder die Vorhersage der Netzlast. Hierbei sind auch Aspekte wie die Erklärbarkeit mittels Explainable AI (XAI) interessant, sowie den Admin in den Workflow zu intregrieren.

Schlüsselworte: Anomalieerkennung, Traffic Classification, XAI, Explainability, Human-in-the-Loop
Zuständige Person: Katharina Dietz

Messen und Modellieren von Netzverkehr

In diesem Themenblock geht es darum, den Verkehr in Kommunikationsnetzen durch Messungen zu Verstehen und durch Modelle abzubilden. Dabei kann der Verkehr auf verschiedenen Layern gemessen werden (z.B. auf Applikationsebene oder auf Netzwerkebene) und beinhaltet die Analyse von Key Performance Indicators (KPI), der Quality of Service (QoS) und der Quality of Experience (QoE). Das Modellieren geschieht beispielsweise durch mathematische Analysen, Simulationen oder anderen Abstrahierungen.

Schlüsselworte: KPIs, QoS, QoE, Leistungsbewertung, Verkehrsmodellierung, Simulation, Emulation
Zuständige Person: Dr. Stefan Geißler

Ausgeschriebene Themen für Bachelor- und Master-Arbeiten

Verfügbare Bachelorarbeiten

1.
Supervisor: Wehner, N. Studying the Mediation of QoE Models with Large Language Models. (University of Würzburg, 2024).
- [ Abstract ]
Contact: nikolas.wehner@uni-wuerzburg.de Goal of this work is to conduct a laboratory study with an already existing dashboard and to extensively analyze the resulting data. The dashboard incorporates different visualizations of a state of the art QoE model based on Explainable AI and provides a ChatBot (powered by ChatGPT or Mistral), which is supposed to help the study participant to understand how the QoE model works. Relevant papers to the topic can be found in [1] and [2]. [1] https://ieeexplore.ieee.org/abstract/document/10178499 [2] https://arxiv.org/abs/2206.06029
1.
Supervisor: Pruckner, M. Modeling and simulation of sustainable local energy systems. (University of Würzburg, 2023).
- [ Abstract ]
Due to the raising costs for energy and CO2-emission, more and more small companies are interested in new decentralized technologies for CO2-neutral local energy production and storage. For instance, companies with high electricity and/or process-heat demand are interested in photovoltaic and/or solar thermal systems as well as combined heat and power systems (e.g., heat pump - KWK). We want to go one step further: We want to design a new type of system, that will harvest the power of the sun (photovoltaic and/or solar thermal) and provide electricity, warmth and cold (combined heat, power and cooling - KWKK) to use in manufacturing processes. The supply of the energy forms shall be local for self-sufficiency as well as CO2-neutral. The system should be flexible, so that the user can determine which of the three energy forms he/she needs most. Storing electricity will be realized in accumulators while cold and warmth will be stored in insulated water tanks. In this bachelor thesis, a data-driven simulation model should be developed, based on a use case. Based on real and open data different energy system components should be implemented. The model should be used to evaluate different scenarios for sustainable energy supply by varying different parameters such as the size of the photovoltaic system or the capacity of the battery energy storage. Finally, an evaluation of cost savings and CO2 reduction potentials should be revealed.

Verfügbare Masterarbeiten

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1.
Supervisor: Pruckner, M. Passenger transport with minibuses. (University of Würzburg, 2023).
- [ Abstract ]
- [ Download ]
Minibuses are already being used to transport passengers on public transport lines with low demand. Minibus lines are often operated like normal bus lines (based on schedules) or like shared cabs (transport requests must be announced in advance). The question arises whether (and under which conditions) there are better and more efficient strategies for operating a minibus line. In this context, there are various questions that can be addressed in the context of a final thesis. An interesting task would be the creation of a concrete test instance based on already operating or planned minibus lines, the development of a simulation that allows to test and compare different strategies, and the development and (experimental and/or theoretical) analysis of strategies.
1.
Supervisor: Strobel, L. Electrification of public transport in European towns - A case study of Bayreuth. (University of Würzburg, 2023).
- [ Abstract ]
The electrification of public transport is a major milestone towards carbon neutrality. This process is well on its way in large urban centers, but in smaller towns, the vehicle inventory still primarily consists of fossil-fuel-powered buses. Significant uncertainty about the economic and practical feasibility of full-electric fleets is prevalent among stakeholders. At the same time, public transport is uniquely qualified for smart-charging use cases due to the centralized control of the transport authority and the highly predictable nature of driving patterns. This thesis aims to evaluate the feasibility of switching to an all-electric bus fleet in Bayreuth and the resulting smart-charging revenue potential. This work is part of ESM-Regio, a project in partnership with Stadtwerke Bayreuth, and real-world data is available. The thesis includes: - Literature research - Analysis of the available data - Development of electric bus model - Development of a charging optimization model - Scenario analysis Requirements: - Knowledge of any programming language Helpful: - Experience with data analysis - Experience with mathematical optimization (We can do a crash course)
1.
Supervisor: Pruckner, M. Charging planning for electric buses. (University of Würzburg, 2023).
- [ Abstract ]
- [ Download ]
If a transit agency replaces part of its conventional bus fleet with electric buses, the allocation of buses to trips must be rethought to allow for sufficient charging time between trips for the electric buses. Factors such as fluctuating electricity prices, temperature-dependent energy consumption should also be considered. In preliminary work, this optimization problem was modeled as a mixed-integer linear program, which in principle can be used for potential studies ('How much energy could have been maximally saved for a specific time period by using electric buses?'), but in its current form can only be used for very short time periods due to its long runtime. The task of this thesis is to find an approach, based on the present model, to solve the problem for longer time periods (such as one year). For this, different (exact or heuristic) approaches are possible, for example a (partial) re-formulation of the model or a 'rolling horizon' approach (where the model is solved step by step for shorter, overlapping time periods. It would further be interesting to adapt the model for use in operational planning, where future energy prices and temperature conditions are subject to uncertainty.

Verfügbare Praktika

1.
Supervisor: Loh, F. Studying mobility in a LoRaWAN Network. (University of Würzburg, 2023).
1.
Supervisor: Geissler, S. Design and Implementation of a WebApp for the Performance Evaluation of VNF Chains. (University of Wuerzburg, 2023).
- [ Abstract ]
Goal of this work is the design and implementation of a web-based application that allows the graphical configuration of service function chains (SFC). An underlying backend (written in R) should then perform detailed performance evaluation (discrete-time modeling, simulation) of the designed SFC and generate several key performance indicators of the system.

Abgeschlossene studentische Arbeiten

Bachelorarbeiten

Masterarbeiten

Praktika

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