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291. 2021 Annual Report | Article ML4EdgeAI (en/de)

2021 Jahresbericht | Fachartikel ML4EdgeAI (en/de): Maschinelles Lernen auf ressourcenbeschränkten Mikrocontrollern für Edge-KI- und IoT-Anwendungen

Reference

292. Heinz-Wolfgang Lahmann, GFE – Gesellschaft für Fertigungstechnik und Entwicklung Schmalkalden e.V.

”In our collaboration with IMMS, we particularly appreciate the expertise in the field of sensor data acquisition and processing, the high application orientation of the solutions and the constructive contacts with its employees – not least when working together on site on machines and equipment.”

Press release

293. 2021 annual report online

Cover photo: IMMS is developing the real-time capable platform and AI algorithms for such a mobile multi-sensor testing device for preventive maintenance in industry. More information on page 74. Photograph: IMMS. Foto: IMMS.

Here you can find the contents in brief and the entire report which is linked to further information and videos.

Reference

294. Machine-Learning im PCB-Entwurf: Open-Source zwischen Forschung, Potential und Alltag

Georg Gläser, 30. Konferenz des Fachverbandes für Design, Leiterplatten- und Elektronikfertigung (FED), 29. - 30. September 2022, Potsdam, Germany

Reference

295. KI für energieeffiziente Sensorsysteme – Effiziente Überwachung von Maschinen und Anlagen

Sebastian Uziel, elmug4future, Technologiekonferenz, 27. - 28. September 2022, Friedrichroda, Thüringen

Reference

296. An IoT-based Sensor System to Capture Flower Bud Growth in Spring

Silvia Krug, Tino Hutschenreuther 19. GI/ITG KuVS Fachgespräch Sensornetze (FGSN 2022), pp. 37-40, DOI: https://doi.org/10.34702/mncp-qb18. 15. September 2022, Berlin, Germany

Reference

297. Robust Tracking Control with L1 Adaptive Augmentation for a Long Stroke Vertical Nanopositioning System: Part II

Alex S. Huaman, Johann Reger 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022, pp. 621-627, DOI: https://doi.org/10.1109/CCTA49430.2022.9965993, 22 - 25 August, 2022, Trieste, Italy

Reference

298. Robust Tracking Control with L1 Adaptive Augmentation for a Long-Stroke Vertical Nanopositioning System: Part I

Alex S. Huaman, Johann Reger 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022, pp. 614-620, DOI: https://doi.org/10.1109/CCTA49430.2022.9966103, 22 - 25 August, 2022, Trieste, Italy

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299. Jahresbericht 2006

Jahresbericht 2006 | IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)

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300. Jahresbericht 2008

Jahresbericht 2008 | IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)