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Logo: Institute of Microelectronic Systems
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Processor Architectures

Smart Hearing Aid Processor (Smart HeaP)

Bild zum Projekt Smart Hearing Aid Processor (Smart HeaP)

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

Dipl.-Ing. L. Gerlach

Duration:

April 2018 - April 2021

Funded by:

BMBF

Brief description:

[Translate to Englisch:] Im Projekt Smart Hearing Aid Processor (Smart HeaP) wird ein neuartiger Hörgeräteprozessor konzipiert, entwickelt und gebaut, der sich trotz seiner einfachen Programmierbarkeit und der drahtlosen Bluetooth-Schnittstelle durch eine geringe Leistungsaufnahme und hohe Rechenleistung auszeichnet.

 

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CHORUS

Bild zum Projekt CHORUS

Supervisor:

Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Duration:

01.11.2018 - 31.03.2021

Funded by:

BMWi

Brief description:

A highly optimized hardware/hoftware module library for intelligent sensor systems in highly automated driver assistance application based on the reconfigurable Dream Chip Technologies DCT10A SoM platform

 

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Hearing4All

Bild zum Projekt Hearing4All

Supervisor:

Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach

Duration:

November 2012 - December 2018

Brief description:

The 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.

 

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Stochastic Processor

Bild zum Projekt Stochastic Processor

Supervisor:

Jun.-Prof. Dr.-Ing. G. Payá-Vayá, Prof. Dr.-Ing. Holger Blume

Researcher:

M.Sc. Moritz Weißbrich

Duration:

February 2016 - January 2019

Funded by:

Deutsche Forschungsgemeinschaft (DFG)

Brief description:

Stochastic 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.

 

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RAPANUI - Rapid-Prototyping for Media Processor Architecture Exploration

 

Supervisor:

Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

M. Sc. Florian Giesemann

Brief description:

Design, implementation, and evaluation of a prototyping-based Designmethodology for processor architectures for digital signal processing.

 

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Biomedical Engineering

Smart Hearing Aid Processor (Smart HeaP)

Bild zum Projekt Smart Hearing Aid Processor (Smart HeaP)

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

Dipl.-Ing. L. Gerlach

Duration:

April 2018 - April 2021

Funded by:

BMBF

Brief description:

[Translate to Englisch:] Im Projekt Smart Hearing Aid Processor (Smart HeaP) wird ein neuartiger Hörgeräteprozessor konzipiert, entwickelt und gebaut, der sich trotz seiner einfachen Programmierbarkeit und der drahtlosen Bluetooth-Schnittstelle durch eine geringe Leistungsaufnahme und hohe Rechenleistung auszeichnet.

 

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ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes

Bild zum Projekt ZIM D-Sense - Entwicklung eines Testsystems zur Diagnostik sensomotorischer Regulationsfähigkeit für Sportler

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

M.Sc. Fritz Webering, M. Sc. Niklas Rother

Duration:

2017-2019

Funded by:

„Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy

Brief description:

The 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.

 

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Efficient Real-time Processing of EEG-Signals

Bild zum Projekt Efficient Real-time Processing of EEG-Signals

Supervisor:

Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

Marc-Nils Wahalla, Dipl.-Ing.

Brief description:

A 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.

 

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Optogenetic

Bild zum Projekt Optogenetik

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Marc-Nils Wahalla, Dipl.-Ing.

Brief description:

Within 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.

 

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Hearing4All

Bild zum Projekt Hearing4All

Supervisor:

Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach

Duration:

November 2012 - December 2018

Brief description:

The 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.

 

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BIOFABRICATION for NIFE

Bild zum Projekt BIOFABRICATION for NIFE

Supervisor:

Prof. Dr.-Ing. Blume

Researcher:

Dipl.-Ing. Christian Leibold

Duration:

May 2013 - June 2018

Funded by:

VolkswagenStiftung and County Lower Saxony

Brief description:

BIOFABRICATION 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.

 

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Analog/Mixed-Signal-Design

New Simulation Methods for Accelerated Mixed-Signal Simulation

Bild zum Projekt Neue Simulationsmethoden zur beschleunigten Mixed-Signal-Simulation

Supervisor:

Prof. Dr.-Ing. Erich Barke

Researcher:

Dipl.-Ing. Sara Divanbeigi

Duration:

March 2014 - February 2017

Funded by:

Deutsche Forschungsgemeinschaft (DFG): BA 812/24-1

Brief description:

This research project is based on an approach for the automated model generation for accelerated mixed-signal simulation of analog circuit models and the associated simulation methodology for a transient analysis. Studies have shown good results, which make a significant acceleration in the simulation of mixed analog/digital-systems.Up to now, the current approach is limited to piecewise-constant input stimuli. One of the fundamental goals of this project is an extension of the novel simulation methodology that enables additional input signal types.

 

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Design Space Exploration

Digital Video-processing for automation in agriculture

Bild zum Projekt Digitale Videosignalverarbeitung für die Automatisierungstechnik in der Landwirtschaft

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

J. Hartig, S. Gesper

Duration:

a 2017-2019

Brief description:

Within 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.

 

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Compact Realtime SAR-Image processor

Bild zum Projekt Miniaturisierter Echtzeit SAR Prozessor

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

F. Cholewa, C. Fahnemann

Duration:

2008-2020

Brief description:

The 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.

 

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Physical Design

Parallelisierung von Routingalgorithmen

 

Supervisor:

Dr.-Ing. Markus Olbrich

Researcher:

Dipl.-Math. Björn Bredthauer

Brief description:

Werkzeuge zur Erzeugung der Verdrahtung für einen gegebenen Chip haben aufgrund der Komplexität dieses Problems sehr hohe Laufzeiten. Ziel dieses Forschungsprojektes ist die Beschleunigung dieses Vorgangs durch die Ausnutzung hochparalleler Architekturen, insbesondere Graphical Processing Units. Zu diesem Zweck sollen Algorithmen und Datenstrukturen gefunden werden, die eine effiziente Aufteilung des Problems auf eine große Anzahl an Recheneinheiten erlauben.

 

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Driver Assistance Systems

PARIS - PARallele Implementierungs-Strategien für das Hochautomatisierte Fahren

Bild zum Projekt PARIS - PARallele Implementierungs-Strategien für das Hochautomatisierte Fahren

Supervisor:

Prof. Dr.-Ing. Holger Blume, Dipl.-Ing. Jakob Arndt

Researcher:

Dipl.-Ing. Jakob Arndt

Duration:

04.2017 - 03.2020

Funded by:

BMBF

Brief description:

In diesem Projekt steht das Systemdesign von Fahrerassistenzsystemen vom Szenrio bis hin zur Architektur im Fokus. Es werden sowohl neuartige selbstlernende und Sensorfusions-Algorithmen, als auch eine innovtive Prozessorarchitektur entwickelt. Darüber hinaus werden Entwicklungsschritte für eingebettete MPSoC-Applikationen, wie Architektur-Mapping und Simulationsmethoden, entwickelt.

 

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ifuse - Intelligente Fusion von Radar- und Videosensoren für anspruchsvolle, hochautomatisierte Fahrsituationen

Bild zum Projekt ifuse - Intelligente Fusion von Radar- und Videosensoren für anspruchsvolle, hochautomatisierte Fahrsituationen

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Nicolai Behmann, M.Sc.

Duration:

Mai 2017 - April 2020

Funded by:

Bundesministerium für Wirtschaft und Energie

Brief description:

Im Rahmen des BMWi-geförderten Verbundprojekts ifuse werden Algorithmen und Architekturen zur Fusion von Sensorrohdaten auf niedriger Abstraktionsebene untersucht. Gegenüber bisherigen Fusionsverfahren auf Objektlistenebene ermöglicht die Sensordatenfusion auf Rohdatenebene eine robustere Klassifikation von Objekten und Erfassung des Fahrzeugumfeldes, auch wenn einzelne Sensoren durch Umwelteinflüsse beeinträchtigt sind. Grundlage der Sensordatenfusion auf Rohdatenebene bilden Signale von aktiven und passiven Fahrzeugsensoren (beispielsweise LIDAR, RADAR, Kamera, Ultraschall), welche nach einer minimalen Vorverarbeitung auf ein gemeinsames Koordinatensystem bezogen und in einem Umweltmodell verortet werden.

 

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Verlässliche Mobilität: Mobiler Mensch im Spannungsfeld zwischen Autonomie, Vernetzung und Security

Bild zum Projekt Verlässliche Mobilität: Mobiler Mensch im Spannungsfeld zwischen Autonomie, Vernetzung und Security

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Jens Schleusner, M.Sc.

Duration:

2017-2019

Brief description:

Die Mobilität der Zukunft basiert wesentlich auf dem hochautomatisierten Fahren und damit auf verlässlichen „Advanced Driver Assistance Systems“ (ADAS). Diese Fahrerassistenzsysteme benötigen eine zuverlässige Erfassung der Umwelt durch die Sensoren der Fahrzeuge, um die erforderliche Verlässlichkeit zu erreichen. Neben Radar- und Lidar-Sensoren verfügen moderne Fahrzeuge über eine Vielzahl von Kameras, die geometrische und semantische Informationen zur Umgebung bereitstellen. Diese verschiedenen Datenströme werden im Anschluss von Datenfusionsalgorithmen auf Fahrzeuginterner Hardware weiterverarbeitet. Zur Berechnung verlässlicher Ergebnisse muss das Gesamtsystem der Signalverarbeitung aus Hardware und Software verlässlich sein. Das Fachgebiet Architekturen und Systeme des IMS wird im Rahmen des Projektes „Mobiler Mensch“ zu diesen Teilaspekten eines Systems zur verlässlichen Datenverarbeitung forschen.

 

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Adaptive blendfreie HD-Scheinwerfer

Bild zum Projekt Adaptive blendfreie HD-Scheinwerfer

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Jens Schleusner, M.Sc.

Duration:

2017-2019

Brief description:

In diesem Projekt werden Signalverarbeitungsalgorithmen für hochauflösende Scheinwerfer entworfen und echtzeitfähig auf verschiedenen Hardwareplattformen implementiert.

 

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Reconfigurable Architectures

TUKUTURI

Bild zum Projekt TUKUTURI

Supervisor:

Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

M. Sc. Florian Giesemann

Funded by:

Wege in die Forschung II

Brief description:

In 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.

 

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System Design

BECCAL-I

Bild zum Projekt BECCAL-I

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Dipl.-Ing. Christian Spindeldreier

Duration:

August 2018 - Dezember 2019

Funded by:

"National Space Program" of the Federal Ministry for Economic Affairs and Energy (BMWi)

Brief description:

Scope of the bilateral BECCAL-I of DLR and NASA is the design of a platform for atom optic experiments on board of the international spece station. Within the project the Institute of Microelectronic Systems will develop and evaluate platforms and algorithms for digital signal processing in space.

 

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ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes

Bild zum Projekt ZIM D-Sense - Entwicklung eines Testsystems zur Diagnostik sensomotorischer Regulationsfähigkeit für Sportler

Supervisor:

Prof. Dr.-Ing. H. Blume

Researcher:

M.Sc. Fritz Webering, M. Sc. Niklas Rother

Duration:

2017-2019

Funded by:

„Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy

Brief description:

The 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.

 

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Efficient Real-time Processing of EEG-Signals

Bild zum Projekt Efficient Real-time Processing of EEG-Signals

Supervisor:

Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá

Researcher:

Marc-Nils Wahalla, Dipl.-Ing.

Brief description:

A 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.

 

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Architekturen und Algorithmen für Hochtemperatur-Signalverarbeitung

Bild zum Projekt Architekturen und Algorithmen für Hochtemperatur-Signalverarbeitung

Supervisor:

Prof. Dr.-Ing. habil H. Blume

Researcher:

M.Sc. Tobias Volkmar

Brief description:

In dem kooperativen Industrieprojekt entstehen zusammen mit der Firma Baker Hughes Architekturen für das Einsatzgebiet der Hochtemperatur-Elektronik. Ein besonderer Schwerpunkt ist hierbei die Erforschung von Kommunikations-Algorithmen für dieses Einsatzgebiet.

 

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QUANTUS IV - MAIUS

Bild zum Projekt QUANTUS IV - MAIUS

Supervisor:

Prof. Dr.-Ing. Holger Blume

Researcher:

Dipl.-Ing. Christian Spindeldreier

Duration:

August 2014 - December 2021

Funded by:

"National Space Program" of the Federal Ministry for Economic Affairs and Energy (BMWi)

Brief description:

The Institute of Microelectronic Systems supports physical experiments in space in the QUANTUS IV - MAIUS Project. Within the project platforms and algorithms for digital signal processing in space will be delevoped and evaluated.

 

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