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Smart Sensors and Systems

Overview of attention for book
Cover of 'Smart Sensors and Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Biomimetic Materials and Structures for Sensor Applications
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    Chapter 2 A Multi-Modal CMOS Sensor Platform Towards Personalized DNA Sequencing
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    Chapter 3 Circuit Design in mm-Scale Sensor Platform for Future IoT Applications
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    Chapter 4 Smart Sensor Microsystems: Application-Dependent Design and Integration Approaches
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    Chapter 5 Energy Efficient RRAM Crossbar-Based Approximate Computing for Smart Cameras
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    Chapter 6 NVRAM-Assisted Optimization Techniques for Flash Memory Management in Embedded Sensor Nodes
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    Chapter 7 Artificially Engineered Compound Eye Sensing Systems
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    Chapter 8 Intelligent Vision Processing Technology for Advanced Driver Assistance Systems
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    Chapter 9 Implantable Optical Neural Interface
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    Chapter 10 Real-Time Programmable Closed-Loop Stimulation/Recording Platforms for Deep Brain Study
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    Chapter 11 Internet of Medical Things: The Next PC (Personal Care) Era
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    Chapter 12 Functional Nanofibers for Flexible Electronics
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    Chapter 13 Urine Microchip Sensing System
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    Chapter 14 Building a Practical Global Indoor Positioning System
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    Chapter 15 Proximity-Based Federation of Smart Objects and Their Application Framework
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    Chapter 16 Edge Computing for Cooperative Real-Time Controls Using Geospatial Big Data
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    Chapter 17 Challenges of Application of ICT in Cattle Management: Remote Management System for Cattle Grazing in Mountainous Areas of Japan Using a Smartphone
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    Chapter 18 Health Sensor Data Analysis for a Hospital and Developing Countries
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Citations

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Title
Smart Sensors and Systems
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-33201-7
ISBNs
978-3-31-933200-0, 978-3-31-933201-7
Editors

Chong-Min Kyung, Hiroto Yasuura, Yongpan Liu, Youn-Long Lin

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Bachelor 7 18%
Researcher 5 13%
Student > Master 3 8%
Lecturer 3 8%
Other 3 8%
Unknown 7 18%
Readers by discipline Count As %
Engineering 12 31%
Computer Science 4 10%
Neuroscience 2 5%
Business, Management and Accounting 2 5%
Physics and Astronomy 2 5%
Other 6 15%
Unknown 11 28%