Bachelorarbeiten
Bachelorarbeiten
- Themenbeschreibung: In cooperation with the TU Ilmenau, the Fraunhofer IIS set up a testbed to enable the localization of mobile endpoints using the LPWAN standard mioty for application in current research topics like IoT. The localization is based on time difference of arrival measurements (TDoA).
The mioty standard uses the so-called TSMA (Telegram Splitting Multiple Access) techniques to achieve high robustness against interference. The telegrams consist of single bursts that are pseudo-randomly distributed in frequency and time. However, the long transmission duration of a single telegram (up to 4s) in combination with noisy oscillators can cause severe degradation of the localization accuracy. One way to become more robust against this effect is to adjust the distribution of the individual bursts in time and frequency. In the context of this work, various possibilities are to be investigated as to how this waveform could be modified.
The results achieved in the thesis are to be presented extensively in a written elaboration. The program source code must be sufficiently commented. The DFG rules for good scientific practice are to be respected in the preparation of the thesis. The execution of the work can be done in English as well as in German language.
In detail, the tasks mentioned above are to be conducted:
- Literature research on the principle of TDoA localization and Phase noise and on the mioty standard according to ETSI TS 103 357
- Familiarization with the existing simulation framework
- Optimization and modification of the existing waveform
- Conducting simulations with the adapted waveforms and compare the results to the standard waveform
- Verification of the results in real-world measurements
- Themenbeschreibung: This thesis will explore low-power algorithms for continuous blood pressure monitoring
on embedded devices with ECG and PPG signals for cuffless measurements. Goal is to implement and evaluate also machine learning algorithms for calculating the blood pressure.
Embedding these algorithms in portable devices allows for real-time monitoring outside clinical settings, leading to better patient outcomes. Embedding into devices and typical wearables generates various challenges, such as memory usage, inference time, and energy consumption, therefore theses algorithms shall be optimized for low power consumption, a minimal resource overhead and scored against existing benchmarks.
Roadmap Steps: Algorithm Selection • Comparability of public databases • Evaluation and Metric Framework • Prototyping with Python and STM32 • Power and Resource Optimization • Final Analysis and Evaluation.
All findings will be documented in a written report. Additionally, the source code must be thoroughly commented for clarity. The student must also adhere to the guidelines of the German Research Foundation (DFG) for Good Scientific Practice.
- Literature Review and Research
- Algorithm Selection (ML)
- Prototyping
- Optimization of Algorithms to Embedded Devices
- Evaluation of Results
Anfragen zu Themen und der Betreuung einer BA-Arbeit können sie auch unabhängig von den ausgeschriebenen Themen direkt an die Ansprechpartner der jeweiligen Forschungsschwerpunkte schicken.
Telemetrie
Satellitenkommunikation
Navigation und Ortsbestimmung / GPS und Allg.
