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Intelligent Sensing, Instrumentation and Measurements 2013 ed. [Hardback]

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  • Formāts: Hardback, 175 pages, height x width: 235x155 mm, weight: 4085 g, XII, 175 p., 1 Hardback
  • Sērija : Smart Sensors, Measurement and Instrumentation 5
  • Izdošanas datums: 05-Apr-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642370268
  • ISBN-13: 9783642370267
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Intelligent Sensing, Instrumentation and Measurements 2013 ed.Palielināt
  • Formāts: Hardback, 175 pages, height x width: 235x155 mm, weight: 4085 g, XII, 175 p., 1 Hardback
  • Sērija : Smart Sensors, Measurement and Instrumentation 5
  • Izdošanas datums: 05-Apr-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642370268
  • ISBN-13: 9783642370267
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783642370267.html
Keywords:

“Intelligent Sensing, Instrumentation and Measurements” addresses issues towards the development of sensor nodes for wireless Sensor Networks. The fundamentals of sensors, interfacing, power supplies, configuration of sensor node, and GUI development are covered.

The book will be useful for engineers and researchers in the field ,especially for higher undergraduate and postgraduate students as well as practitioners working on the development of Wireless Sensor Networks or Smart Sensors.



This book addresses issues in the development of sensor nodes for wireless sensor networks, covering the fundamentals of sensors, interfacing, power supplies, configuration of sensor node and GUI development among other topics.
1 Sensors Fundamental
1(28)
Introduction
1(1)
1.1 Sensor Classification
1(2)
1.2 Thermal Sensors
3(5)
1.2.1 Thermistors
4(1)
1.2.2 Thermocouple
5(1)
1.2.3 Resistance Temperature Detectors (RTD)
6(2)
1.3 Humidity Sensors
8(2)
1.3.1 Resistive Humidity Sensors (RHS)
8(1)
1.3.2 Capacitive Humidity Sensors (CHS)
8(1)
1.3.3 Thermal Conductivity Humidity Sensors (TCHS)
9(1)
1.4 Capacitive Sensors
10(1)
1.5 Planar Interdigital Sensors
11(2)
1.6 Planar Electromagnetic Sensors
13(3)
1.7 Light Sensing Technology
16(2)
1.7.1 Photometric Sensors
16(1)
1.7.2 Light Dependent Resistors (LDR)
16(1)
1.7.3 Pyranometers
17(1)
1.8 Moisture Sensing Technology
18(2)
1.8.1 Frequency Domain Reflectometry (FDR) Soil Moisture Sensor
18(1)
1.8.2 Time Domain Reflectometry (TDR) Soil Moisture Sensor
19(1)
1.8.3 Gypsum Blocks
19(1)
1.8.4 Neutron Probes
20(1)
1.9 Carbon Dioxide (CO2) Sensing Technology
20(2)
1.9.1 Solid State Electrochemical (SSE) CO2 Sensors
20(1)
1.9.2 Non-dispersive Infrared (NDIR) CO2 Sensors
21(1)
1.10 Sensors Parameters
22(2)
1.10.1 Range
22(1)
1.10.2 Sensitivity
23(1)
1.10.3 Accuracy
23(1)
1.10.4 Stability
23(1)
1.10.5 Repeatability
23(1)
1.10.6 Static and Dynamic Characteristics
24(1)
1.10.7 Energy Harvesting
24(1)
1.10.8 Compensation Due to Change of Temperature and Other Environmental Parameters
24(1)
1.11 Selection of Sensors
24(1)
1.12 Suggested Further Reading
25(4)
2 Interfacing of Sensors and Signal Conditioning
29(26)
Introduction
29(1)
2.1 Change of Bias and Level of Signals
29(1)
2.2 Loading Effect on Sensor's Output
30(1)
2.3 Potential Divider
31(2)
2.4 Low-Pass RC Filter
33(2)
2.5 High-Pass RC Filter
35(1)
2.6 Practical Issues of Designing Passive Filters
36(1)
2.7 Op-Amp Based Instrumentation
37(4)
2.7.1 Differential Amplifier
38(1)
2.7.2 Common Mode Rejection
39(1)
2.7.3 Single-Resistance Controlled Instrumentation Amplifier
40(1)
2.8 Current-to-Voltage Converter
41(1)
2.9 Comparator
42(3)
2.10 A Few Guidelines to Design Signal Conditioning Circuit
45(1)
2.11 Factors Affecting Performance of Sensors
46(4)
2.11.1 Revisit of the Specification of Sensors
46(1)
2.11.1.1 Accuracy
47(1)
2.11.1.2 Overall Accuracy
48(1)
2.11.1.3 Standard Deviation
49(1)
2.12 Effect of Temperature
50(1)
2.13 Degradation of Sensors
51(1)
2.14 Suggested Further Reading
52(3)
3 Wireless Sensors and Sensors Network
55(16)
Introduction
55(2)
3.1 Frequency of Wireless Communication
57(1)
3.2 Development of Wireless Sensor Network Based Project
58(9)
3.2.1 Wireless Sensor Based on Microcontroller and Communicating Device
58(5)
3.2.2 Wireless Sensor Network Based on Microcontroller and Zigbee Communicating Device
63(4)
3.3 Wireless Sensor Network Based on Only Zigbee
67(1)
3.4 Suggested Further Reading
67(4)
4 Power Supplies for Sensors
71(20)
Introduction
71(1)
4.1 Power Sources
72(4)
4.1.1 Power from Mains Supply
72(1)
4.1.2 Battery
73(1)
4.1.2.1 Selection of Batteries
73(1)
4.1.2.2 Alkaline Batteries
74(1)
4.1.2.3 Lithium Battery
74(1)
4.1.2.4 Lithium-Ion Battery
75(1)
4.1.2.5 Nickel-Metal Hydride (NiMH) Battery
75(1)
4.1.2.6 Lead Acid Battery
76(1)
4.2 Energy Harvesting
76(4)
4.2.1 Solar Energy
77(3)
4.3 Further Investigation into Solar and Lead Acid Batteries
80(4)
4.4 Wind Energy
84(1)
4.5 RF Energy Harvesting
84(2)
4.6 Energy Harvesting from Vibration
86(1)
4.7 Thermal Energy Harvesting
86(1)
4.8 Energy Management Techniques
87(1)
4.8.1 Routing Protocol
87(1)
4.8.2 Introduction of Sleep Mode
87(1)
4.8.3 MAC Protocol
88(1)
4.9 Calculation for Battery Selection
88(1)
4.10 Suggested Further Reading
89(2)
5 Software Design for Data Reception and Analysis
91(28)
Introduction
91(1)
5.1 Set-Up of the Wireless Sensor Network
92(2)
5.2 Steps to Configure the ZigBee Radio Modules
94(2)
5.2.1 ZigBee Explorer USB
94(1)
5.2.2 Preparation of the Coordinator (Base Station Radio)
94(2)
5.2.3 Configuring the Remote ZigBee (Sensing Device #1 Radio Module)
96(1)
5.3 Brief Description of API Mode Data Transmission
96(4)
5.4 Testing the Communication between Coordinator and Remote XBee
100(2)
5.4.1 Example 1
100(2)
5.5 Design and Development of Graphical User Interface for Receiving Sensor Data Using C#
102(5)
5.5.1 Creating a New Visual Studio C# Program
102(5)
5.6 Changing Component Names
107(2)
5.7 Add Program Statements to a Visual Studio C# Application
109(2)
5.7.1 Coding Steps for Receiving Sensor Data through Serial Port
110(1)
5.8 The Complete Program(Form1.cs) with Explanation in the Form of Comments is Given Below
111(8)
References
118(1)
6 Sensors Signal Processing Techniques
119(22)
Introduction
119(1)
6.1 A Brief Review of Signal Processing Techniques for Structural Health Monitoring
119(8)
6.1.1 Normalization
121(1)
6.1.2 Feature Extraction
122(3)
6.1.3 Dimensionality Reduction
125(2)
6.1.4 Collaborative Damage Event Detection (CBED) Method
127(1)
6.2 Signal Processing Techniques for Information Extraction from Sensor Data
127(14)
6.2.1 Deriving Information from Sensor Data: Daily Activity Recognition Models
128(1)
6.2.1.1 The Hidden Markov Model (HMM)
128(3)
6.2.1.2 The Conditional Random Field (CRF)
131(2)
6.2.1.3 The Skip Chain Conditional Random Field (SCCRF)
133(1)
6.2.1.4 Emerging Patterns (EP)
133(2)
6.2.2 Finding Patterns in Sensor Data
135(1)
6.2.3 Classifying Sensor Data
136(1)
6.2.4 Detecting Trends
136(1)
6.2.5 Characterizing Sensor Data
137(1)
6.2.6 Annotation Methods
137(1)
References
138(3)
7 Description of a Few Projects
141
Introduction
141(1)
7.1 WSN Based Physiological Parameters Monitoring System
141(14)
7.1.1 Measurement of Human Body Temperature
143(1)
7.1.1.1 Temperature Sensor
144(3)
7.1.1.2 The Heart-Rate Sensor
147(3)
7.1.1.3 Impact Sensor
150(2)
7.1.1.4 Communication between Sensor Unit and Micro-controller
152(1)
7.1.1.5 Software and Algorithms
153(1)
7.1.1.6 Temperature Sensor Algorithm
153(1)
7.1.1.7 Impact Sensor Algorithm
153(1)
7.1.1.8 Heart Rate Sensor Algorithm
154(1)
7.1.1.9 Receiver Algorithms
154(1)
7.2 Intelligent Sensing System for Emotion Recognition
155(11)
7.2.1 Aim of the Emotion Recognition System
155(1)
7.2.2 Development of Intelligent Sensing System for Emotion Recognition
156(4)
7.2.3 Experimental Results and Analysis
160(5)
7.2.4 Observations and Discussion
165(1)
7.3 WSN Based Smart Power Monitoring System
166(7)
7.3.1 System Overview
166(1)
7.3.1.1 Voltage Measurement
166(1)
7.3.1.2 Current Measurement
167(1)
7.3.1.3 Power Measurement
168(4)
7.3.1.4 Experimental Results
172(1)
7.4 Suggested Further Reading
173