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Reference

251. Added-Value Services in Smart Home Applications through System Integration of Different Wireless Standards

E. Chervakova, W. Kattanek U. Knoblich M. Binhack embedded world conference 2012. Nürnberg, Germany, 28.02.2012-01.03.2012

Reference

252. Added-Value Services in Smart Home Applications through System Integration of Different Wireless Standards

E. Chervakova, W. Kattanek U. Knoblich M. Binhack embedded world conference 2012. Haar: Weka Fachmedien, ISBN 978-3-645-50072-2

Reference

253. ADMONT

IMMS is working on energy-autonomous multi-parameter biosensor networks for in vitro diagnosis of cancer. Photograph: IMMS.

IMMS has validated novel semiconductor process technology with passive RFID sensors and an in-vitro breast cancer diagnostic system.

Reference

254. AFiA

IMMS has developed a vertical drive to raise and lower objects through 10 mm under active control with nanometre precision.

Reference

255. AgAVE

Test setup for the integration of local industry-4.0-compliant assistance systems in production machinery. Photograph: IMMS.

Industry 4.0 communications for an assistance system, ML-based, that autonomously analyses connected production chains

Media library

256. Allgemeine Bedingungen für die Durchführung von Forschungs- und Entwicklungsaufträgen im IMMS GmbH

Allgemeine Bedingungen für die Durchführung von Forschungs- und Entwicklungsaufträgen im IMMS GmbH Allgemeine Bedingungen für die Durchführung von Forschungs- und Entwicklungsaufträgen im Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH („IMMS GmbH“) AGB Version 2021/II IMMS verfolgt ausschließlich und unmittelbar gemeinnützige Zwecke. Die Allgemeinen Bedingungen tragen den Erfordernissen der Auftragsforschung vor diesem Hintergrund Rechnung. 1. Anwendungsbereich 1.1 Die nachfolgenden Bedingungen gelten für alle Forschungs- und Entwicklungsaufträge, die IMMS erteilt…

Press release

257. AI without the net: Energy-efficient edge AI sensor system for industrial monitoring applications

“AWARE” demonstrator (advanced wireless AI-enabled real-time environment). Monitoring applications in industry can be developed on the basis of this energy-efficient edge AI sensor system. Photograph: IMMS.

IMMS exhibits at embedded world

Research field

258. AI-based design and test automation

With Ilmenau TU, we have developed an AI-based anomaly detection method to automatically detect non-proven and potentially faulty locations in layouts. Our relatetd plugin for the free design tool KiCad is available on GitHub. Source: IMMS.

Core topic AI-based design and test automation in our Integrated sensor systems research field: We are researching to use AI to make the development process of integrated sensor systems safer and more cost-effective. AI can help developers in the process to avoid errors and apply informal knowledge in an automated way.

Reference

259. Ain’t got time for this? Reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data

Tom Reinhold, Marco Seeland Martin Grabmann Christian Paintz Patrick Mäder Georg Gläser Analog 2020, 17. ITG/GMM-Fachtagung, Analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukünftige drahtlose Technologien, 28-30 September 2020, online

Reference

260. Alexander Zimmer, X-FAB Global Services GmbH, Erfurt

”IMMS was able to offer us valuable support due to its many years of experience in the field of measurement technology and circuit design for optical sensors. The reliable work and the trusting partnership is a highly valued basis for the cooperation with IMMS.”