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Advance and case studies of the DAICOX framework for automated design of multi-sensor intelligent measurement systems

Fortschritt und Fallstudien der DAICOX-Entwurfsumgebung zum automatisierten Entwurf intelligenter multisensorischer messtechnischer Systeme
Kittikhun Thongpull

Kittikhun Thongpull received the B.Eng. degree and the M.Eng. degree in electrical engineering from Prince of Songkla University, Hat Yai, Thailand, in 2008 and 2010, respectively. He is currently a PhD student at the Institute of Integrated Sensory Systems, TU Kaiserslautern, Germany. His research interests include Automated Intelligent Sensor System Design, Multi-sensory systems, Self-x Techniques in Sensor Systems and Applications, Integrated Sensory Systems, Computational Intelligence, Machine Learning, Embedded Systems, Wireless Sensor Networks, and Cyber-Physical-Systems.

Institute of Integrated Sensory Systems, TU Kaiserslautern, Kaiserslautern, Germany

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and Andreas König

Prof. Dr.-Ing. Andreas König received the Diploma in Electrical Engineering at TU Darmstadt in 1990 and the PhD at the Institute of Microelectronics Systems of the same university in 1995 in the field of intelligent vision system design for inspection tasks and of neural hardware. He then was with Fraunhofer IITB (now IOSB), in Karlsruhe continuing research in visual industrial inspection and aerial image analysis. He moved to TU Dresden, and from 1996 served as Assistant Prof. of Electronic Devices in the Electrical Engineering dept., and established a group in the field of integrated intelligent vision sensors, circuits, and systems design and application. In 2002, he was appointed deputy chair of the computer engineering chair, computer science dept. at TU Chemnitz. In 2003, he was appointed Prof. for Integrated Sensory Systems in the Electrical Engineering dept., TU Kaiserslautern. He established the Institute of Integrated Sensory Systems with research on heterogeneous integrated, intelligent multimodal sensor, circuit, and system design. Activities comprise reconfigurable or adaptive self-x systems, neural and evovable hardware, wireless, autonomous/self-sufficient sensors and sensor swarms or networks, CMOS and MEMS design and 3D integration, automation and synthesis activities, multidimensional signal processing and sensor fusion, and interactive large high-dimensional data analysis and visualization. He is author or coauthor of more than 120 technical publications in the field, he was chair/co-chair of int. conferences in the field, e. g., HIS 2007 and KES 2011 at TU Kaiserslautern, he is Senior Member of IEEE, founder and chair of the IEEE CIS German Chapter, member of MIR Labs, DHV, AHMT, the interest group on microelectronics for neural networks, and of several editorial boards.

Institute of Integrated Sensor Systems, TU Kaiserslautern, Kaiserslautern, Germany

From the journal tm - Technisches Messen

Abstract

In this paper, we report on the advance and application of our DAICOX system conceived for the automated and transparent design of integrated intelligent multi-sensor measurement applications. The current implementation allows the front to back design from raw sensory data to decision making. In particular, novelty or One-Class Classification (OCC) methods, improved assessment functionality, and automated design of feature computation by multi-objective optimization techniques to complete the processing chain complement the system. Two representative applications, i. e., basic food analysis and magnetic localization, have been selected as case studies with existing manual solutions to demonstrate and assess the applicability of the conceived architecture and its implementation. DAICOX reduced the design time by 98.62%, while increasing the recognition rate by 5.21% in the first case study and 0.71% in the second case study. The optimized solution can now be deployed to a run time system. In future work, extension of the method portfolio, self-x functionality, and public-domain availability are aspired.

Zusammenfassung

In dieser Arbeit wird über den Fortschritt und die Anwendung des DAICOX-Systems berichtet, das zum automatisierten Entwurf integrierter intelligenter multisensorischer messtechnischer Anwendungen geschaffen wurde. Die gegenwärtige Umsetzung erlaubt den vollständigen Systementwurf von der Erfassung sensorischer Rohdaten bis hin zur Entscheidungsfindung. Insbesondere ergänzen Neuheits- oder Einklassenklassifikation, verbesserte Bewertungsfunktionalität und der automatisierte Entwurf von Merkmalberechnungsblöcken mit fortgeschrittener Mehrzieloptimierung zur Komplettierung der Verarbeitungskette das System. Zwei repräsentative Anwendungen, Lebensmittelanalyse und magnetische Lokalisierung, wurden als Fallstudien mit bestehenden manuell erstellten Lösungen ausgewählt, um die Tauglichkeit der erzeugten Architektur und ihrer Implementierung zu demonstrieren und zu bewerten. DAICOX reduzierte die Entwurfszeit um 98.62%, wobei die Erkennungsleistung um 5.21% für die erste und um 0.71% für die zweite Fallstudie erhöht werden konnte. Die gefundene optimale Systemkonfiguration kann nun auf ein Laufzeitsystem abgebildet werden. In künftiger Arbeit wird eine Erweiterung des Methodenspektrums, der Self-X-Funktionalität und der Bereitstellung einer Public-Domain-Version angestrebt.

About the authors

Kittikhun Thongpull

Kittikhun Thongpull received the B.Eng. degree and the M.Eng. degree in electrical engineering from Prince of Songkla University, Hat Yai, Thailand, in 2008 and 2010, respectively. He is currently a PhD student at the Institute of Integrated Sensory Systems, TU Kaiserslautern, Germany. His research interests include Automated Intelligent Sensor System Design, Multi-sensory systems, Self-x Techniques in Sensor Systems and Applications, Integrated Sensory Systems, Computational Intelligence, Machine Learning, Embedded Systems, Wireless Sensor Networks, and Cyber-Physical-Systems.

Institute of Integrated Sensory Systems, TU Kaiserslautern, Kaiserslautern, Germany

Andreas König

Prof. Dr.-Ing. Andreas König received the Diploma in Electrical Engineering at TU Darmstadt in 1990 and the PhD at the Institute of Microelectronics Systems of the same university in 1995 in the field of intelligent vision system design for inspection tasks and of neural hardware. He then was with Fraunhofer IITB (now IOSB), in Karlsruhe continuing research in visual industrial inspection and aerial image analysis. He moved to TU Dresden, and from 1996 served as Assistant Prof. of Electronic Devices in the Electrical Engineering dept., and established a group in the field of integrated intelligent vision sensors, circuits, and systems design and application. In 2002, he was appointed deputy chair of the computer engineering chair, computer science dept. at TU Chemnitz. In 2003, he was appointed Prof. for Integrated Sensory Systems in the Electrical Engineering dept., TU Kaiserslautern. He established the Institute of Integrated Sensory Systems with research on heterogeneous integrated, intelligent multimodal sensor, circuit, and system design. Activities comprise reconfigurable or adaptive self-x systems, neural and evovable hardware, wireless, autonomous/self-sufficient sensors and sensor swarms or networks, CMOS and MEMS design and 3D integration, automation and synthesis activities, multidimensional signal processing and sensor fusion, and interactive large high-dimensional data analysis and visualization. He is author or coauthor of more than 120 technical publications in the field, he was chair/co-chair of int. conferences in the field, e. g., HIS 2007 and KES 2011 at TU Kaiserslautern, he is Senior Member of IEEE, founder and chair of the IEEE CIS German Chapter, member of MIR Labs, DHV, AHMT, the interest group on microelectronics for neural networks, and of several editorial boards.

Institute of Integrated Sensor Systems, TU Kaiserslautern, Kaiserslautern, Germany

Received: 2015-12-4
Revised: 2016-2-2
Accepted: 2016-2-5
Published Online: 2016-3-25
Published in Print: 2016-4-28

©2016 Walter de Gruyter Berlin/Boston

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