Tallinn University of Technology

Master thesis

Room U02-229
E-mail: Ants.Koel@taltech.ee

Topics:

  • Investigation of vibrations for biomedical applications. Continuation of HW development, DAQ, UI
  • Camera synchronization electronics development for LoC application 
  • Camera module software development for LoC application (low-level drivers in C and VHDL)
  • Electronics development for portative GBH drug analyser
  • Electronics development for portative gas chromatography instrument
  • Student satellite onboard image processing software development 
    TTÜ satellite onboard software for image acquisition and onboard storage. The satellite TTU100 (Hämarik) is currently on orbit and functioning. Image capture and safe transfer to Ground Station has not been fully achieved yet. Your task is to analyse the current image capture capabilities and use Your programming skills to achieve reliable method for capturing images by the satellite and storing them onboard at desired times. It is important to work together with attitude control engineers and communication engineers to achieve image transfer to Ground Station.
  • Student satellite safe downlink software development.
    TTÜ satellite onboard and Ground Station software for safe data retrieval from satellite to Ground Station. The satellite TTU100 (Hämarik) is currently on orbit and functioning. Image capture and safe transfer to Ground Station has not been fully achieved yet. Your task is to analyse the current communication system and protocol and use Your programming skills to achieve safe image transfer from satellite onboard memory to Ground Station. It is important to work together with attitude control engineers and onboard software engineers to achieve data and image transfer to Ground Station.
  • Student satellite attitude determination and control system (ADCS) software improvement 
    TTÜ satellite onboard software for attitude determination and control system (ADCS). The satellite TTU100 (Hämarik) is currently on orbit and functioning. Image capture and safe transfer to Ground Station has not been fully achieved yet, this relies on the attitude determination and control system. Your task is to analyse the current attitude of the satellite and the functions of the ADCS system and use Your programming skills to achieve attitude control, detumbling of the satellite and pointing of cameraas and antennas to desired direction – to Ground Station in Tallinn and towards Earth generally. It is important to work together with image capture engineers and onboard software engineers to achieve relevant image acquisition and data and image transfer to Ground Station.

Room: U02-224
E-mail: Muhammad.Alam@taltech.ee

Topics:

Room U02-222A
E-mail: Olev.Martens@taltech.ee

Topics:

  •     Measurement solutions for bio-impedance / synchronous (lock-in) measurements

These topics are intended to the (maximum 4-6) students, who are ready to develop and investigate of precise analog and mixed electronics for instrumentation,
related hardware, firmware and software.


Possible platforms:

  •     CADs, DSPs/DSCs-s of Texas Instruments,
  •     MSP432 processor,
  •     CodeComposer Studio,
  •     LabView, R,. Python, C/C++


Possible supervisors:

  •     Paul Annus- analog and data acquisition, algorithmical  parts,
  •     Eero Haldre- MSP432-based solutions,
  •     Andrei Krivošei - advanced processing of physiological signals,
  •     Olev Märtens - DSP-based solutions etc


Specific subtopics are matched to individual students, depending on their skill- and interest list:

  •     Improved) DSP-based imepdance measurement solution (O.Märtens)
  •     Innovations in the lock-in acquisition of analog  (impedance) signals (P.Annus)
  •     MSP432 based Impedance-spectrometer (E.Haldre)
  •     Correlation analysis between the brachial blood pressure and the Electrical Bioimpedance (EBI) cardiac component synchronously measured from the left and right wrist radial arteries (including: measurement system configuration, measurement procedure providing ( Andrei Krivošei)
  •     Extracting the Electrical Bioimpedance (EBI) cardiac signal component from the artifacts: respiratory component and motion component ( Andrei Krivošei )
  •     Development of the machine learning based algorithm for the Electrical Bioimpedance (EBI) cardiac signal component analysis, artifacts suppression, features extraction ( Andrei Krivošei , O.Märtens)