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Smart Sensors and Systems

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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
Attention for Chapter 13: Urine Microchip Sensing System
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Citations

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Chapter title
Urine Microchip Sensing System
Chapter number 13
Book title
Smart Sensors and Systems
Published by
Springer International Publishing, October 2016
DOI 10.1007/978-3-319-33201-7_13
Book ISBNs
978-3-31-933200-0, 978-3-31-933201-7
Authors

Ching-Hsing Luo, Mei-Jywan Syu, Shu-Chu Shiesh, Shin-Chi Lai, Wei-Jhe Ma, Yi-Hsiang Juan, Wen-Ho Juang

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Materials Science 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 2 33%