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Analog 2020

Date, Type of contribution, Location:
30.09.2020,Lectures,Online
Event:
Zwei Vorträge auf der 17. ITG/GMM-Fachtagung Analog 2020, Analoge Schaltungen: Schlüsselsysteme für Automotive, IoT und zukünftige drahtlose Technologien

Description:

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.

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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,

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,

Hochgenau und batteriefrei per RFID messen

IMMS-Doktorand verteidigt Dissertation zu präziser passiver RFID-Sensorik

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Forschergruppe „IntelligEnt“ gestartet: Künstliche Intelligenz und Machine Learning für den Entwurf von Mikroelektronik

IMMS und TU Ilmenau forschen an neuartigen Assistenzsystemen für Chip-Designer

Press release,

Best Paper Award Runner-Up for MEMS-ASIC-Gesamtdesignmethodik

Implemented acceleration sensor to validate the novel method

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 Klaus

Contact

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.

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