IMMS - Search

Reference

461. Assistance Systems for Industrial 4.0 Environments

Björn Barig, embedded world Conference - Internet of Things - Platforms & Applications, Session 1.3: Internet of Things IV OPC UA I4.0, 26 - 28 February 2019, Nürnberg, Germany

Press release

462. Forschergruppe „IntelligEnt“ gestartet: Künstliche Intelligenz und Machine Learning für den Entwurf von Mikroelektronik

IMMS und TU Ilmenau präsentierten Förderern und Projektbeirat am 27.02.2019 in Erfurt Ziele und Vorhaben der Thüringer Forschergruppe „IntelligEnt“. Foto: IMMS.

IMMS und TU Ilmenau forschen an neuartigen Assistenzsystemen für Chip-Designer

Reference

463. IntelligEnt

IMMS develops assistance systems for chip designers: Machine Learning is intended to improve design methods of integrated analog/mixed-signal systems. Photograph: IMMS.

The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal systems.

Reference

464. Messumgebung zur dynamischen Charakterisierung des Leistungsverbrauchs von Ultra-Low-Power Schaltungen

Marco Reinhard, Alexander Rolapp Benjamin Saft Michael Meister 31. GI/GMM/ITG-Workshop, Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2019), 24.-26. Februar 2019, Prien am Chiemsee

Reference

465. Messverfahren zur HF-Charakterisierung des Crosstalks verschiedener Halbleitertechnologien

Björn Bieske, Dagmar Kirsten Michael Ott Michael Frey 31. GI/GMM/ITG-Workshop, Testmethoden und Zuverlässigkeit von Schaltungen und Systemen (TuZ 2019), 24.-26. Februar 2019, Prien am Chiemsee

Reference

466. Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems

Kaja Balzereit, Alexander Maier Björn Barig Tino Hutschenreuther Oliver Niggemann In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 592-601, 19 - 21 February, 2019, Prague, Czech Republic, DOI: https://doi.org/10.5220/0007362005920601

Reference

467. A Fully Passive RFID Temperature Sensor SoC With An Accuracy Of ±0.4 °C (3σ) From 0 °C To 125 °C

Jun Tan, Muralikrishna Sathyamurthy Alexander Rolapp Jonathan Gamez Eckhard Hennig Eric Schäfer Ralf Sommer in IEEE Journal of Radio Frequency Identification, vol. 3, no. 1, pp. 35-45, March 2019. DOI: https://doi.org/10.1109/JRFID.2019.2896145

Press release

468. New financial managing director at IMMS

Mr. Eberhardt (r), financial managing director of IMMS since 1 Feb 2019, Prof. Sommer, scientific director (c) and Mr. Kelm (l), former financial managing director. Photo: IMMS.

Hans-Joachim Kelm hands over to Martin Eberhardt as of February 1, 2019

Reference

469. Energieautarkes Industrie-4.0-konformes Funksensorsystem

Wolfram Kattanek, Science meets Industry, 23. Januar 2019, Chemnitz

Reference

470. MEDIKIT

Lock-in imager chip for time-resolved fluorescence imaging with europium in an example application for digital readout of strip tests. Photo: IMMS.

IMMS has developed a chip for mobile diagnostic systems for the early detection of diseases using time-resolved fluorescence measurements.