Analog 2020
Ain’t got time for this? Reducing manual evaluation effort with Machine Learning based Grouping of Analog Waveform Test Data. Tom Reinhold1, Marco Seeland2, Martin Grabmann1, Christian Paintz3, Patrick Mäder2, Georg Gläser1.1IMMS, 2Technische Universität Ilmenau, 3Melexis GmbH.
Error patterns in measurement data of mixed-signal integratedcircuits and MEMS are classified manually so far. The authors present a new method with ML algorithms for automatic grouping of similar failure scenarios. In a case study with an industrial testdata set the efficiency could be improved by a factor of 14.
Entwurf, Evaluierung und Optimierung von HF- und UHF-RFID-Sensorsystemen. Björn Bieske, Tom Reinhold, Jun Tan.
RFID is established for contact-free identification in many areas. The combination of wireless energy and data transmission with low-power sensors opens up a wide range of possibilities for new applications. The evaluation and optimization of such sensor systems creates new demands on measurement technology. Based on special RFID readers and laboratory measuring devices, it will be shown how a universal measuring station for complex measuring sequences on RFID transponders with sensor connection can be set up using standard PXI modules.
Related content
Project
IntelligEnt
The IMMS researched assistance systems for chip designers: Machine Learning improves design and test methods for integrated analogue/mixed-signal…
Project
RoMulus
Systematic design and economical manufacture for intelligent multi-sensor systems in small quantities
Press release,
Energieeffizienz für serielle Inter-Chip-Kommunikation mit kommerziellen drahtlosen Sensoren
iENA-Silbermedaille für Latch-basierten aktiven Ultra-Low-Power-Pull-Up-Emulator
Press release,
Reliable and faster chip designs through invasive and parametric simulation methods
Dissertation on new methods for automation in integrated circuit design
Press release,
EDA Competition Award for "Trash or Treasure" - Intelligent Layout Processing
1st prize of the IEEE CEDA goes to young scientists from Ilmenau TU and IMMS
Press release,
Highly accurate and battery-free measurement via RFID
IMMS PhD candidate defends dissertation on precise passive RFID sensor technology
Award
iENA silver medal for “Circuit configuration to provide the charging energy for a level change on a signal bus, method for the calibration and signal transmission system”
Georg Gläser
Award
1st Place – EDA Competition Award für den Beitrag: Trash or Treasure? Machine-learning based PCB layout anomaly detection with AnoPCB
Henning Franke
Award
Best Paper Award Runner-Up für den Beitrag: Systematic MEMS ASIC Design Flow using the Example of an Acceleration Sensor
Jenny KlausContact
Contact
Dipl.-Hdl. Dipl.-Des. Beate Hövelmans
Head of Corporate Communications
beate.hoevelmans(at)imms.de+49 (0) 3677 874 93 13
Beate Hövelmans is responsible for the text and image editorial work on this website, for the social media presence of IMMS on LinkedIn and YouTube, the annual reports, for press and media relations with regional and specialist media and other communication formats. She provides texts, photographs and video material for your reporting on IMMS, arranges contacts for interviews and is the contact person for events.