IMMS - Search

Reference

1841. Anforderungen an FSM-Tools beim hierarchischen Entwurf paralleler digitaler Steuerungen

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1842. Anforderungen an FSM-Tools beim hierachischen Entwurf paralleler digitaler Steuerungen

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1843. Anforderungen an den Entwurf von elektronischen Leistungsstellgliedern kleiner Leistungen

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1844. Andy Carius, Indu-Sol

„The joint work was characterised by many ideas and a great deal of commitment by IMMS. We will gladly turn to IMMS again in future projects, especially in the area of data evaluation and classification, as we very much appreciate this type of cooperation.“

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1845. Andrea Kulik, FRIZ Biochem

We were particularly impressed by IMMS’s ability to take a holistic approach to the interface between biochemical applications and electronic signal processing. This enabled our biochemical and technical requirements to be precisely translated into microelectronic concepts and implemented in a space-efficient manner.

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1846. ANCONA - Analog/Mixed-Signal Verifikationsmethoden für die AMS Coverage-Analyse

Andreas Fürtig, Lars Hedrich, Georg Gläser, Ralf Sommer, Christoph Grimm, Stefan Heinen, Hyun-Sek Lukas Lee, Markus Olbrich, Gregor Nitsche, Ralf Popp, Thiyagarajann Purusothaman, Carna Radojicic, Fabian Speicher, Dieter Treytnar, 2016 Newsletter edacentrum 01/02

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1847. ANCONA

Computer-aided verification methods have been created as fresh impetus for Industry 4.0 developments. Photograph: IMMS.

Computer-aided verification methods have been developed to accelerate the design of Industry 4.0 applications.

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1848. Anastasia WP2 (work package 2) Meeting

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1849. Analysis of Frequency-optimized Transimpedance Amplifiers in X-FAB 600nm BiCMOS Technology

Research field

1850. Analysis of distributed IoT systems

IoT system that visualises and analyses noise in cities for noise abatement measures. For the new platform, which collects audio data and classifies it based on AI, we developed the data hub, among other things. Photograph: Rolf Peukert, IMMS.

Core topic Analysis of distributed IoT systems in our Smart distributed measurement and test systems research field: For complex distributed IoT systems, we model components for system-wide analysis of energy consumption. We put intelligence into the network, enable tasks to be solved flexibly and autonomously, and make individual functions portable and robust.