Smart Sensors and Systems
Technology Advancement and Application Demonstrations
(Sprache: Englisch)
This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoTs). The authors provide a...
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Klappentext zu „Smart Sensors and Systems “
This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoTs). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book will provide a "global" view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.- Profiles active research on smart sensors based on CMOS microelectronics;
- Describes applications of sensors and sensor systems in cyber physical systems, the social information infrastructure in our modern world;
- Includes coverage of a variety of related information technologies supporting the application of sensors;
- Discusses the integration of computation, networking, actuation, databases, and various sensors, in order to embed smart sensor systems into actual social systems.
Inhaltsverzeichnis zu „Smart Sensors and Systems “
Introduction.- Biomimetic Materials and Structures for Sensor Applications.- CMOS Integrated Lab-on-chip System for Personalized Biomedical Diagnosis.- Performance Enhancement of LED Spectrophotometry based on Pseudo BJT System.- mm-scale Sensors: Ultra-Low Power Sensor Platform for Future IoT Applications.- Smart Sensor Microsystems: Application-Dependent Design & Integration Approaches.- Energy Efficient RRAM Crossbar-based Neuromorphic Computation for Smart Camera.- NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes.- Artificially engineered compound eye sensing systems.- Intelligent Vision Processing Technology for Advanced Driver Assistance Systems.- Implantable optical neural interface.- Realtime programmable closed-loop stimulation/recording platforms for deep brain stud, or Mobile ECG sensing and linear/nonlinear analysis systems.- Internet of Medical Things: the Next PC (personal care) Era.- UV Sensors based on Flexible Materials.- Urine Microchip Sensing System.- Construction of Indoor GPS and In-and-outdoor Integrated Navigation System.- Proximity-based Federation of Smart Objects and their Application Framework.- Edge Computing for Cooperative Real-Time Controls using Geospatial Big Data.- Challenges of Application of ICT in Cattle Management.- Data Health: Sensor Data Analysis fora Hospital and Developing Countries.
Autoren-Porträt
Yongpan Liu received his B.S., M.S. and Ph.D. degrees from Electronic Engineering Department, Tsinghua University in 1999, 2002, and 2007. He worked as a Research Assistant in Circuit and System Divisions in Tsinghua University from 2002 to 2004. (Referred to CV) His main research interests include: Embedded System, Nonvolatile Computing, Electronics Design Automation and Power/Thermal Aware VLSI Design and Test. Our group currently focuses on High Performance Low Power circuit device, chip architecture and system design methodology on next generation computing applications.
Bibliographische Angaben
- 2021, 1st ed. 2020, VIII, 203 Seiten, 82 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Yongpan Liu, Youn-Long Lin, Chong-Min Kyung, Hiroto Yasuura
- Verlag: Springer, Berlin
- ISBN-10: 3030422364
- ISBN-13: 9783030422363
Sprache:
Englisch
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