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A design automation approach for task-specific intelligent multi-sensory systems – Lab-on-spoon in food applications

Ein Entwurfsautomatisierungsansatz für anwendungsspezifische intelligente multisensorische Systeme – Lab-on-Spoon in Lebensmittelanwendungen
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 Sensor Systems, TU Kaiserslautern, Kaiserslautern

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, Dennis Groben

Dennis Groben received the diploma degree in Electrical Engineering in 2014 at TU Kaiserslautern. He currently is a Test Engineer at Philips Digital Photon Counting in Aachen Germany since November 2014. In 2011, he joined the Institute of Integrated Sensory Systems as one of the key contributors to a BMBF-funded research project with industrial partners on 3D-integrated sensors swarms and magnetic sensor localization research. His research interests are in magnetic-field based sensing, measurement and instrumentation, sensor signal conditioning and processing, artificial neural networks, mixed-signal CMOS design, and 3D-integration.

Institute of Integrated Sensor Systems, TU Kaiserslautern, Kaiserslautern

and Andreas König

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

From the journal tm - Technisches Messen

Abstract

In this work, we present a general design automation concept for the rapid and effort-reduced design of intelligent integrated multi-sensory self-x systems, as needed for sportive or health oriented devices, Ambient Assisted Living systems, general Internet of Things (IoT), or even for Industry 4.0, and demonstrate it for the case of mobile liquid food analysis by our lab-on-spoon system. In particular, we apply dimensionality reduction and hierarchical classification to the rapid creation of powerful yet lean system solutions. For selected food classification tasks significant reductions down to 0.58% of the original data size and increase of classification accuracy up to 100% have been achieved. The measurement time could be reduced down to 0.4%.

Zusammenfassung

In dieser Arbeit wird ein generelles Automatisierungskonzept für den schnellen und aufwandsreduzierten Entwurf intelligenter integrierter multisensorischer Systeme mit Selbst-X-Eigenschaften vorgestellt, wie sie u. a. für Fitness-, Gesundheits- und Lebensassistenzsysyteme, allgemein für das Internet der Dinge (IoT) oder sogar für cyber-physische Systeme im Kontext von Industrie 4.0 prinzipiell benötigt werden, und für den Fall der mobilen Analyse flüssiger Lebensmittel anhand unseres Lab-on-Spoon-Systems demonstriert. Insbesondere wird Dimensionsreduktion und hierarchische Klassifikation für die schnelle Erstellung leistungsfähiger, aber kompakter Systemlösungen herangezogen. Für ausgewählte Beispiele konnten signifikante Reduktionen der ausgewerteten Datenmenge auf bis zu 0.58% und erhöhte Klassifikationsraten von bis zu 100% erreicht werden.

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 Sensor Systems, TU Kaiserslautern, Kaiserslautern

Dennis Groben

Dennis Groben received the diploma degree in Electrical Engineering in 2014 at TU Kaiserslautern. He currently is a Test Engineer at Philips Digital Photon Counting in Aachen Germany since November 2014. In 2011, he joined the Institute of Integrated Sensory Systems as one of the key contributors to a BMBF-funded research project with industrial partners on 3D-integrated sensors swarms and magnetic sensor localization research. His research interests are in magnetic-field based sensing, measurement and instrumentation, sensor signal conditioning and processing, artificial neural networks, mixed-signal CMOS design, and 3D-integration.

Institute of Integrated Sensor Systems, TU Kaiserslautern, Kaiserslautern

Andreas König

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

Received: 2015-1-7
Revised: 2015-2-27
Accepted: 2015-2-28
Published Online: 2015-4-1
Published in Print: 2015-4-28

©2015 Walter de Gruyter Berlin/Boston

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