IMMS - Search

Reference

1871. 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

Reference

1872. AFiA

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

Reference

1873. 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

1874. 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

1875. 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

1876. Adaptiver Frontend-ASIC für elektrostatische Energy-Harvester

Benjamin Saft, Eric Schäfer André Jäger Alexander Rolapp Eckhard Hennig 8. GMM-Workshop „Energieautarke Sensorik“, 25.02.216 – 26.02.2016, Renningen (Robert Bosch GmbH) Germany

Reference

1877. Adaptive Wireless Ad-hoc Sensor Networks for Long-term and Event-oriented Environmental Monitoring

Jan Bumberger, Hannes Mollenhauer Paul Remmler Andrei Marian Chirila Olaf Mollenhauer Tino Hutschenreuther Hannes Toepfer Peter Dietrich European Geosciences Union General Assembly, EGU 2016, 17.04.2016-22.04.2016, Open Session on Geosciences Instrumentation and Methods, Vienna, Austria

Reference

1878. Adaptive gain control for high dynamic range optical receivers

A. Amar, T. Cohrs 11. ITG/GMM-Fachtagung ANALOG 2010, 22.03.-24.03.2010, Erfurt, in Proceedings

Reference

1879. Adaptive gain control for high dynamic range optical receivers

A. Amar, T. Cohrs 11. ITG/GMM-Fachtagung ANALOG 2010, 22.03.-24.03.2010, Erfurt

Lead application

1880. Adaptive edge AI systems for industrial application

Lead application Adaptive edge AI systems for industrial application: We are researching solutions for adaptive edge AI systems to make AI possible on low-consumption embedded systems in industry and to network them in real time.