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Rainer Pöschl, M.Sc.

Centre for Applied Research

Applied Computer Science & Bionics - Technology Campus Freyung

Team Leader

Team Leader Embedded Systems / Senior Scientist

TCF

08551/91764-21

08551/91764-69

Sortierung:
Vortrag

  • Rainer Pöschl
  • Stefan Kunze

Concept for a Short-Range Fallback Communication System for Drones in Medical Applications

In: 3rd URSI Atlantic/Asia-Pacific Radio Science Meeting - 2022 (URSI AT-AP-RASC 2022)

Maspalomas, Gran Canaria, Spain

  • 02.06.2022 (2022)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Rainer Pöschl
  • Stefan Kunze

Concept for a Short-Range Fallback Communication System for Drones in Medical Applications

  • (2022)

DOI: 10.23919/AT-AP-RASC54737.2022.9814169

Goal of the research project KIMoNo is the implementation of a drone based delivery system for medical products and samples. To ensure the communication between drone and a ground team even in remote areas, a fallback communication system is required. In this paper a brief overview of communication systems for drones is presented and a concept for the fallback communication system is proposed.
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Ludwig Schiller
  • Manuela Wühr
  • Rainer Pöschl
  • Wolfgang Dorner

Concept for the Large Scale Deployment of Ambient Assisted Living Systems

pg. 288-292.

  • (2020)

DOI: 10.1109/ACIT49673.2020.9208911

This paper deals with the problem of equipping 100 households in Lower Bavarian with sensors using different interfaces and protocols. This sensor set in the households is used in the context of the research project DeinHaus 4.0 of Deggendorf Institute of Technology. This project focuses on supporting technologies to enable elderly people to live as long as possible in their own house or apartment. Therefore, a set of sensors and Ambient Assisted Living (AAL) technologies are used to build a supporting system. Furthermore, the system collects, anonymizes and stores the sensor data for further technical and social analysis.
  • Angewandte Gesundheitswissenschaften
  • TC Freyung
  • DIGITAL
  • GESUND
Beitrag in Sammelwerk/Tagungsband

  • Rainer Pöschl
  • Alexander Faschingbauer

Message Compression Concept for Software Defined IoT Edge Devices

  • (2019)
  • TC Freyung
  • Angewandte Informatik
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl

A Software Defined Radio Based Implementation for the Radio Frequency Analysis of Signals from Unmanned Aerial Systems

  • (2019)
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Vortrag

  • Rainer Pöschl

Message Compression Concept for Software Defined IoT Edge Devices

In: 5th International Conference on Sensors and Electronic Instrumentation Advances (SEIA 2019)

Adeje, Teneriffa, Spanien

  • 26.09.2019 (2019)
  • TC Freyung
  • Angewandte Informatik
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Alexander Faschingbauer
  • Stefan Kunze
  • Rainer Pöschl

Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications

  • (2018)

DOI: 10.23919/URSI-AT-RASC.2018.8471357

The paper compares two approaches for generating input data for Predictive Maintenance systems. Smart meters are commonly used in industrial applications and could also be used for adopting Predictive Maintenance. The second approach uses Software Defined Radios outside of their traditional application field, because of their high flexibility. The existing Software Defined Radio tool chains for signal processing can be easily adopted to generate and process input data for Predictive Maintenance algorithms. Besides the theoretical comparison and discussion of these two approaches, a concept for the practical evaluation is presented.
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl

Concept for a Software Defined Radio Based System for Detection, Classification and Analysis of Radio Signals from Civilian Unmanned Aerial Systems

  • (2018)

DOI: 10.23919/URSI-AT-RASC.2018.8471398

The recent advances in the field of civilian Unmanned Aerial Systems have enabled a wide range of applications and facilitated their wide spread use. However, these systems can also pose a threat to the civilian population. As part of a research project to counter these threats, a Software Defined Radio based system for detection, classification and analysis of radio signals from civilan drones is proposed in this paper. A short look at related work, focusing on the application of machine learning techniques for the classification of radio signals is presented and a concept for the implementation of detection and classification system is proposed.
  • Elektrotechnik und Medientechnik
  • TC Freyung
  • DIGITAL
Vortrag

  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl

Concept for a Software Defined Radio Based System for Detection, Classification and Analysis of Radio Signals from Civilian Unmanned Aerial Systems

In: the 2nd URSI Atlantic Radio Science Conference (URSI AT-RASC)

Maspalomas, Gran Canaria, Spanien

  • 28.05.-01.06.2018 (2018)
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
Vortrag

  • Alexander Faschingbauer
  • Stefan Kunze
  • Rainer Pöschl

Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications

In: 2nd URSI Atlantic Radio Science Conference (URSI AT-RASC)

Maspalomas, Gran Canaria, Spanien

  • 28.05-01.06.2018 (2018)
  • TC Freyung
  • Elektrotechnik und Medientechnik
  • DIGITAL
  • NACHHALTIG
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Rainer Pöschl
  • Alexander Faschingbauer
  • Markus Eider

Artificial Neural Networks based Age Estimation of Electronic Devices

pg. 827-832.

  • (2017)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Markus Eider
  • Stefan Kunze
  • Rainer Pöschl

FPGA Based Emulation of Multiple 1-Wire Sensors for Hardware in the Loop Tests

pg. 279-284.

  • (2016)
  • TC Freyung
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba

Comparison of Energy Optimization Methods for Automotive Ethernet Using Idealized Analytical Models

In: Advanced Microsystems for Automotive Applications 2015: Smart Systems for Green and Automated Driving (AMAA 2015: 19th International Forum on Advanced Microsystems for Automotive Applications "Smart Systems for Green and Automated Driving, July 7th-8th 2015, Berlin). null (Lecture Notes in Mobility) pg. 187-198.

  • (2015)
  • Elektrotechnik und Medientechnik
  • MOBIL
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba

Signal Strength Based Distance Estimation of Passive Off-the-Shelf RFID Tags in the UHF Band

  • (2015)
  • Elektrotechnik und Medientechnik
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Daniel Wellisch
  • Johannes Lenz
  • Alexander Faschingbauer
  • Rainer Pöschl
  • Stefan Kunze

Vehicle-to-Grid AC Charging Station: An Approach for Smart Charging Development

  • (2015)
  • TC Freyung
  • MOBIL
Beitrag in Sammelwerk/Tagungsband

  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba

Experimental Test System for Distance Estimation of Standardized Passive UHF RFID Systems

pg. 30-33.

  • (2015)
  • Elektrotechnik und Medientechnik
  • DIGITAL
Beitrag in Sammelwerk/Tagungsband

  • Daniel Wellisch
  • Stefan Kunze
  • Rainer Pöschl

A Modular Software Implementation for Smart Charging Station

pg. 254-259.

  • (2015)
  • Elektrotechnik und Medientechnik
  • MOBIL
Beitrag in Sammelwerk/Tagungsband

  • Andreas Grzemba
  • Alexander Faschingbauer
  • Rainer Pöschl

Power-Management in automobilen CAN-Systemen mittels teilnetzfähiger Steuergeräte und Absicherung der Interoperabilität

In: Bordnetz Kongress

Landshut

  • 24.09.2013 (2013)
  • TC Freyung