Prof. Dr.-Ing. Holger Blume
Prof. Dr.-Ing. Holger Blume
Phone
Address
Appelstr. 4
30167 Hannover
30167 Hannover
Prof. Dr.-Ing. Holger Blume
Address
Appelstr. 4
30167 Hannover
30167 Hannover
Career
Holger Blume, born in 1967, studied electrical engineering at the University of Dortmund from 1987 to 1992. During his studies he was a scholarship holder of the German National Academic Foundation. From 1993 to 1996 he was a research assistant in the Circuits for Information Processing group at the University of Dortmund (Prof. Dr. H. Schröder). From 1996-1998 he was employed as a research associate at the Informatik Centrum Dortmund (ICD). In 1997, he received his PhD with honors from the University of Dortmund on the topic of "Nonlinear Fault-Tolerant Interpolation of Intermediate Images".
From 1998 to 2008, he worked first as a senior engineer and later as an academic senior councillor at the Department of General Electrical Engineering and Data Processing Systems at RWTH Aachen University (Prof. Dr. T. G. Noll). In February 2008 he habilitated there with a thesis on "Exploration of the Design Space for Heterogeneous Architectures for Digital Video Signal Processing".
In July 2008, he followed a call to Leibniz Universität Hannover where he has been working since then as professor for "Architectures and Systems" and as managing director of the Institute for Microelectronic Systems (IMS).
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Publications
Showing results 361 - 366 out of 366
Verfahren und Schaltungsanordnung zur Flimmerreduktion für ein Gerät zur Videosignalverarbeitung. / Blume, Holger (Inventor); Jostschulte, Klaus (Inventor).More...
Europäisches Patentamt (EPA). Patent No.: EP0727904. Aug 21, 1996.Research output: Patent
Bildformatkonversion für Multimedia Displays: Anwendungen, Displayeigenschaften, Konversionsverfahren. / Blume, Holger Christoph; Lück, Martin.More...
Multimedia: Anwendungen, Technolgie, Systeme: Vorträge des 6. Dortmunder Fernsehseminars vom 4. bis 6. Oktober 1995 in Dortmund. Berlin: VDE Verlag GmbH, 1995. p. 49-58 (ITG-Fachbericht; Vol. 136).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
Parallel Predictive Motion Estimation using Object Recognition Methods. / Blume, Holger Christoph; Amer, Aishy.More...
Proceedings of the European Workshop and Exhibition on Image Format Conversion and Transcoding. 1995.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
Verfahren und Schaltungsanordung zur Flimmerreduktion für ein Gerät zur Videosignalverarbeitung. / Blume, Holger (Inventor); Zygis, Krzysztof (Inventor); Schwoerer, Ludwig (Inventor).More...
Deutsches Patent- und Markenamt (DPMA). Patent No.: DE4434728C1. Nov 02, 1995.Research output: Patent
Verfahren zur Umsetzung einer Bildfolge von Halbbildern mit Zeilensprung auf eine Bildfolge von zeilensprungfreien Bildern und Schaltungsanordnung zur Durchführung des Verfahrens. / Blume, Holger (Inventor); Schwoerer, Ludwig (Inventor).More...
Deutsches Patent- und Markenamt (DPMA). Patent No.: DE4414173C1. Oct 25, 1995.Research output: Patent
Konversionstechniken für die zeitsequentielle stereoskopische Bildwiedergabe. / Lück, Martin; Blume, Holger Christoph.More...
40. Internationales Wissenschaftliches Kolloquium: Vortragsreihen Elektronische Medientechnik, Modellierung/Berechnung elektromagnetischer Felder. Vol. 2 Ilmenau: Technische Universität Ilmenau, 1995. p. 60-65.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
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Research Projects
Processor Architectures
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High Temperature Measurement While DrillingThe goal of the research is an MWD processor system for drilling tools used for geothermal drilling in ambient temperatures up to 300 °C. The processing of the project includes research aspects in the fields of hardware design, fault tolerance of digital systems and ASIC design.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Duration: 2012-2014
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GEBO - High Temperature ElectronicIn this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Duration: 2009-20111
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OPAROIn the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014
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Hearing4AllThe joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2015Duration: November 2012 - December 2018
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Stochastic ProcessorStochastic computing has recently emerged as a promising approach for designing energy-efficient embedded hardware systems, taking into account the ability of many applications (e.g., computer vision) to tolerate the loss of precision in the computed results. Rather than designing the hardware for worst case scenarios featuring expensive guard-bands, designers can relax the implementation constraints and deliberately expose hardware variability, obtaining significant processing performance improvements and energy benefits.Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá, Prof. Dr.-Ing. Holger BlumeTeam:Year: 2015Funding: Deutsche Forschungsgemeinschaft (DFG)Duration: February 2016 - January 2019
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TETRACOMNowadays, continuous development of digital signal processing applications, e.g., video-based advanced driver assistance systems, are pushing the limits of existing embedded systems and are forcing system developers to spend more time on code optimization. These applications often involve complex mathematical functions like trigonometric, logarithmic, exponential, or square root operations. In particular, these functions can only efficiently be computed on standard general purpose embedded processors, using highly optimized, processor specific arithmetic evaluation software libraries. Another alternative is to extend the embedded processor architectures with a specific hardware accelerator.Led by: Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2016Duration: January 2016 - July 2016
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Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home AutomationIn this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá VayáTeam:Year: 2019Funding: BMBFDuration: October 2018 - March 2021
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EcoMobilityDuring the European project "EcoMobility", the IMS will improve autonomous electric vehicles in regards to sustainability, connectivity and safety together with 46 partners from all over Europe. The IMS will especially focus on intelligent scheduling of tasks on heterogeneous processor systems.Led by: Prof. Dr.-Ing. Holger Blume, M.Sc. Matthias LüdersTeam:Year: 2023Funding: KDT JUDuration: 2023-2025
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Analog/Mixed-Signal-Design
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GEBO - High Temperature ElectronicIn this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Duration: 2009-20111
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Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home AutomationIn this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá VayáTeam:Year: 2019Funding: BMBFDuration: October 2018 - March 2021
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Design Space Exploration
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EFdiS – Use of airborne SAR with digital interfaceThe goal of this research project is the processing of FMCW sensor signals. The first step is intended to digitize the analog data on board through a suitable expansion card. In the second step, the digitized data is to be processed on board, and thus converted to an aerial image.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Duration: October 2012 - December 2014
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OPAROIn the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014
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Digital Video-processing for automation in agricultureWithin this project, algorithms are developed, architectures explored and a final hardware-platform designed and evaluated. The overall system will be tested in a field test.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2019Duration: a 2017-2019
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Compact Realtime SAR-Image processorThe goals of this project are the generation and compression of high resolution Synthetic Aperture Radar (SAR) images under real time conditions. Compared to camera based electro-optical sensors, a SAR system operates almost independent from daylight and weather conditions. State-of-the-art SAR sensor systems achieve spatial resolutions up to 10 cm at 10 km altitude. By using FPGAs for high performance digital signal processing tasks, aerial images can be generated in real time even in case of very large image dimensions.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2020Duration: 2008-2020
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Driver Assistance Systems
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OpenFASIn the scope of this project, a library of modules for driver assistence systems, based on a multicore processor architecture will be created. The project is in collaboration with the videantis corporation.Led by: Prof. Dr.-Ing. Holger BlumeTeam:Year: 2012Funding: "Zentrales Innovationsprogramm Mittelstand" des Bundesministeriums für Wirtschaft und Technologie (BMWi)Duration: Juni 2012 - Oktober 2013
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DESERVE - Development Platform for Safe and Efficient DriveDESERVE is a project funded by the European Union. The aim of the project is the promotion and evolution of advanced driver assistance systems (ADAS). These systems are devoted to support the driver in the safe control of the vehicle. For this purpose, the DESERVE platform is planned to be developed. This platform will be the base for future development of advanced driver assistance systems in Europe.Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá VayáTeam:Year: 2013Funding: Europäische Union, Bundesministerium für Bildung und ForschungDuration: September 2012 - August 2015
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ASEVThe goal of this sub-project of the BMBF project "Automatic Situation Interpretation for Event Triggered Video Surveillance" is to elaborate a concept for a hardware architecture that enables a SIFT (Scale Invariant Feature Transform) feature extraction under application-specific processing conditions as performance and power consumption. SIFT features offer a good basis for robust object identification and tracking for event triggered video surveillance. The field of application is thereby the airport apron, which is highly relevant to security. The concept was implemented on a FPGA-based hardware platform to build a demonstrator which was tested at the end of the project at the airport of Braunschweig.Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2014Funding: Bundesministerium für Bildung und Forschung (BMBF)Duration: Mai 2010 - April 2013
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Efficient Hardware Architectures for Fast Image Sequence AnalysisIn practice, general reliability of modern driver assistance systems under arbitrary traffic, weather and illumination conditions often is a problem. Because more robust algorithms are computationally very intensive, this project deals with the examination of heterogenous hardware architectures and the evaluation of new mechanisms for complex applications in the field of camera-based driver assistance.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Funding: Hans L. Merkle StiftungDuration: February 2014 - February 2017
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mDAS - Implementation of a real-time demonstrator for multicore-based driver assistance systemsThe goal of this Project is the conceptual design of a real-time mutlicore-based demonstrator for video-based driver assistance algorithms. Therefore, different performance metrics will be displayed in order to compare platform-specific performance characteristics.Led by: Prof. Dr.-Ing. Holger BlumeTeam:Year: 2014Funding: Siemens AGDuration: February 2014 - August 2014
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ZIM Dream Chip Technologies GmbHIn cooperation with Dream Chip Technologies GmbH, Garben, Germany, the Institute of Microelectronic Systems develops with funding from the Federal Ministry of Economic Affairs and Energy a camera system with integrated algorithms for high quality real time motion estimation in the area of driver assistance systems.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2015Funding: Bundesministerium für Wirtschaft und EnergieDuration: September 2015 - December 2016
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THINGS2DO - THIN but Great Silicon 2 Design ObjectsTHINGS2DO is an ENIAC project, funded by the European Union and the Federal Ministry of Education and Research. The project aims to develop the new Fully Depleted Silicon On Insulator (FD-SOI) technology and the corresponding tool environment for high efficient and highly integrated circuits. The capabilities of the technology are further demonstrated through a demonstrator in the area of Advanced Driver Assistance Systems (ADAS).Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2016Funding: Europäische Union, Bundesministerium für Bildung und ForschungDuration: February 2016 - March 2018
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GreenMLThe project "GreenML" aims to exemplify a holistic AI design process by the highly efficient and resource-optimized implementation of essential FAS functions like object detection, object classification, and scene contextualization on particular hardware. Deep Learning (DL) has become a central approach for modern AI applications. Even though energy-efficient DL has become a target in research, currently isolated solutions are often created that do not unleash the full potential for resource-efficient AI. In this project, we will focus on a holistic approach: from hardware to efficient coding and transfer of data and models to dynamic and resource-adaptive software to enable multi-criteria optimization of all facets of an AI-enabled system. As an example, we demonstrate the potential of this approach using the scenario of a modern driver assistance system (FAS). With about 67 million registered vehicles and increased e-mobility, saving required energy by combining efficient algorithms, communication, and hardware is urgently needed. Our "Green Assisted Driving" project addresses different energy consumption, safety, and flexibility metrics. The consortium combines low-power hardware, learning of efficient representations from large data sets, hyperparameter optimization, and network design using AutoML, as well as methods of transfer learning, semi-supervised learning, and network pruning to prototype highly efficient and dynamically controllable models on a FAS. and demonstrate the savings potential of a holistic approach.Led by: Prof. Dr.-Ing. habil H. BlumeTeam:Year: 2023Duration: 2023-2026
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EcoMobilityDuring the European project "EcoMobility", the IMS will improve autonomous electric vehicles in regards to sustainability, connectivity and safety together with 46 partners from all over Europe. The IMS will especially focus on intelligent scheduling of tasks on heterogeneous processor systems.Led by: Prof. Dr.-Ing. Holger Blume, M.Sc. Matthias LüdersTeam:Year: 2023Funding: KDT JUDuration: 2023-2025
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Biomedical Engineering
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Real-time, low-latency sonification of complex movementsThe goal of this research project in the field of biomedical engineering is to generate an auditory feedback (sonification) of human movements. The IMS focuses on examing the performance of different hardware platforms for this application. Relevant performance parameters are the platforms power dissipation and the overall latency. Finally, the project goal is to enhance stroke rehabilitation by additionally providing auditory arm movement feedback. This could lead to shortened rehabilitation periods. Furthermore, the mobile hardware platform developed at the IMS allows home based rehabilitation.Led by: Prof. Dr.-Ing. BlumeTeam:Year: 2013Funding: Europäischer Fonds für regionale Entwicklung (EFRE)Duration: February 2011 - June 2013
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BIOFABRICATION for NIFEBIOFABRICATION for NIFE ist ein interdisciplinary research network between the Hanover Medical School, the Leibniz University of Hanover and the Hanover University of Music, Drama and Media. The goal of this research network is to achieve methods for growing biocompatible organic implants with heavily reduced rejection reactions.Led by: Prof. Dr.-Ing. BlumeTeam:Year: 2014Funding: VolkswagenStiftung and County Lower SaxonyDuration: May 2013 - June 2018
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Hearing4AllThe joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2015Duration: November 2012 - December 2018
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OptogeneticWithin this cooperation with the Institute of Technical Chemistry and the Institute of Quantum Optics of the Leibniz Universität Hannover, methods are being studied to control the behavior of intracellular processes from the outside with light. Optogenetics can be used to specifically modify light-insensitive cells in order to respond to the influence of light. Due to the common previous experience between the project partners, especially optogenetic questions in the context of tissue engineering are focussed.Led by: Prof. Dr.-Ing. Holger BlumeTeam:Year: 2016
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Efficient Real-time Processing of EEG-SignalsA brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2017
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ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in AthletesThe aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2017Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and EnergyDuration: 2017-2019
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System Design
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GEBO - High Temperature ElectronicIn this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2014Duration: 2009-20111
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Efficient Real-time Processing of EEG-SignalsA brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2017
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ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in AthletesThe aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.Led by: Prof. Dr.-Ing. H. BlumeTeam:Year: 2017Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and EnergyDuration: 2017-2019
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Reconfigurable Architectures
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Circuit Design and Physical Design for a Novel FPGA ArchitectureEvaluation and analysis of the implemtability and performance of a new type of field programmable gate array (FPGA).Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá VayáTeam:Year: 2013Funding: Federal Ministry of Education and ReserachDuration: May 2013 - June 2014
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TUKUTURIIn the TUKUTURI-project, a for ASIC-synthesis optimized VHDL-description of a soft core processor architecture will be optimized for FPGA synthesis. The suitability of special functional units for specific applications with regard to performance and area consumption will be analyzed.Led by: Jun.-Prof. Dr.-Ing. G. Payá-VayáTeam:Year: 2014Funding: Wege in die Forschung II
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