IMMS - Search

Reference

1041. Investigations of metal systems in a silicon ceramic composite substrate for electrical and thermal contacts as well as associated mounting aspects

M. Fischer, T. Welker B. Leistritz S. Gropp C. Schäffel M. Hoffmann J. Müller Ceramic Interconnect and Ceramic Microsystems Technologies, Additional Conferences (Device Packaging, HiTEC, HiTEN, & CICMT): May 2016, Vol. 2016, No. CICMT, pp. 000107-000110, DOI: http://dx.doi.org/10.4071/2016CICMT-WA22

Reference

1042. RoMulus

In the RoMulus project, IMMS and ten partners are working on intelligent sensor systems for Industry 4.0. Photograph: Bosch.

Systematic design and economical manufacture for intelligent multi-sensor systems in small quantities

Reference

1043. MEMS-Vibro3D

New 3D vibrometer system for MEMS. Photograph: IMMS.

Research infrastructure for the next MEMS generation: 3D vibrometer system and new broadband amplifier

Reference

1044. Tri-Gate Al0.2Ga0.8N/AlN/GaN HEMTs on SiC/Si-substrates

Wael Jatal, Uwe Baumann Heiko O. Jacobs Frank Schwierz Jörg Pezoldt Materials Science Forum, ISSN: 1662-9752, Vol. 858, pp 1174-1177, DOI: http://www.scientific.net/MSF.858.1174, ©2016 Trans Tech Publications, Switzerland

Press release

1045. RoMulus research project: Intelligent sensor systems for Industry 4.0

Reducing development and manufacturing costs

Reference

1046. fast realtime

Measuring energy needs with prototypes that monitor trains in real time with a local wireless sensor network. Photograph: IMMS.

Smart transport to be monitored in real time

Reference

1047. Intelligente Lösungen für Industrie 4.0 - Diagnose und Überwachung in industriellen Anlagen

Tino Hutschnreuther, 2. Maschinenbautag, 15.06.2016, Erfurt

Reference

1048. On the Role of Wireless Sensor Networks for Intelligent Transportation Systems

Silvia Krug, Jochen Seitz Elena Chervakova Hannes Toepfer Sense. Enable. SPITSE, 2016, 20.06.2016 - 24.06.2016, Moskau, Russland

Reference

1049. An Approach to Extract Significant Features for Vehicle Classification Based on Magnetic Field Sensor Data

Vladimir Shkoda, Sylvia Braeunig Marco Goetze Hannes Toepfer Sense. Enable. SPITSE, 2016, 20.06.2016 - 24.06.2016, Moskau, Russland

Reference

1050. Flexible Hardware/Softwareplattformen für intelligente Industrie 4.0-Geräte

Tino Hutschenreuther, Wolfram Kattanek elmug4future, Technologiekonferenz 2016, 21.06.2016, Friedrichroda