Rainer Pöschl, M.Sc.

Teamleiter

Teamleitung Embedded Systems / Wissenschaftlicher Mitarbeiter

TCF

08551/91764-21

08551/91764-69


Contribution
  • Ludwig Schiller
  • Manuela Wühr
  • Rainer Pöschl
  • Wolfgang Dorner
Concept for the Large Scale Deployment of Ambient Assisted Living Systems
  • 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.
Contribution
  • Ludwig Schiller
  • Manuela Wühr
  • Rainer Pöschl
  • Wolfgang Dorner
Concept for the Large Scale Deployment of Ambient Assisted Living Systems
  • 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.
Contribution
  • Rainer Pöschl
  • Alexander Faschingbauer
Message Compression Concept for Software Defined IoT Edge Devices
  • 2019
Contribution
  • Rainer Pöschl
  • Alexander Faschingbauer
Message Compression Concept for Software Defined IoT Edge Devices
  • 2019
Contribution
  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl
A Software Defined Radio Based Implementation for the Radio Frequency Analysis of Signals from Unmanned Aerial Systems
  • 2019
Lecture
  • Rainer Pöschl
Message Compression Concept for Software Defined IoT Edge Devices
  • 2019
Lecture
  • Rainer Pöschl
Message Compression Concept for Software Defined IoT Edge Devices
  • 2019
Contribution
  • Stefan Kunze
  • Alexander Weinberger
  • Rainer Pöschl
A Software Defined Radio Based Implementation for the Radio Frequency Analysis of Signals from Unmanned Aerial Systems
  • 2019
Lecture
  • Alexander Faschingbauer
  • Stefan Kunze
  • Rainer Pöschl
Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications
  • 2018
Contribution
  • 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.
Lecture
  • 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
Contribution
  • 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.
Contribution
  • 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.
Lecture
  • 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
Contribution
  • 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.
Lecture
  • Alexander Faschingbauer
  • Stefan Kunze
  • Rainer Pöschl
Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications
  • 2018
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Alexander Faschingbauer
  • Markus Eider
Artificial Neural Networks based Age Estimation of Electronic Devices
  • 2017
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Alexander Faschingbauer
  • Markus Eider
Artificial Neural Networks based Age Estimation of Electronic Devices
  • 2017
Contribution
  • Markus Eider
  • Stefan Kunze
  • Rainer Pöschl
FPGA Based Emulation of Multiple 1-Wire Sensors for Hardware in the Loop Tests
  • 2016
Contribution
  • Markus Eider
  • Stefan Kunze
  • Rainer Pöschl
FPGA Based Emulation of Multiple 1-Wire Sensors for Hardware in the Loop Tests
  • 2016
Contribution
  • Daniel Wellisch
  • Stefan Kunze
  • Rainer Pöschl
A Modular Software Implementation for Smart Charging Station
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Signal Strength Based Distance Estimation of Passive Off-the-Shelf RFID Tags in the UHF Band
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Signal Strength Based Distance Estimation of Passive Off-the-Shelf RFID Tags in the UHF Band
  • 2015
Contribution
  • Daniel Wellisch
  • Stefan Kunze
  • Rainer Pöschl
A Modular Software Implementation for Smart Charging Station
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Comparison of Energy Optimization Methods for Automotive Ethernet Using Idealized Analytical Models
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Comparison of Energy Optimization Methods for Automotive Ethernet Using Idealized Analytical Models
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Experimental Test System for Distance Estimation of Standardized Passive UHF RFID Systems
  • 2015
Contribution
  • Daniel Wellisch
  • Johannes Lenz
  • Alexander Faschingbauer
  • Rainer Pöschl
  • Stefan Kunze
Vehicle-to-Grid AC Charging Station: An Approach for Smart Charging Development
  • 2015
Contribution
  • Stefan Kunze
  • Rainer Pöschl
  • Andreas Grzemba
Experimental Test System for Distance Estimation of Standardized Passive UHF RFID Systems
  • 2015
Contribution
  • Daniel Wellisch
  • Johannes Lenz
  • Alexander Faschingbauer
  • Rainer Pöschl
  • Stefan Kunze
Vehicle-to-Grid AC Charging Station: An Approach for Smart Charging Development
  • 2015
Contribution
  • Andreas Grzemba
  • Alexander Faschingbauer
  • Rainer Pöschl
Power-Management in automobilen CAN-Systemen mittels teilnetzfähiger Steuergeräte und Absicherung der Interoperabilität
  • 2013
Contribution
  • Andreas Grzemba
  • Alexander Faschingbauer
  • Rainer Pöschl
Power-Management in automobilen CAN-Systemen mittels teilnetzfähiger Steuergeräte und Absicherung der Interoperabilität
  • 2013