bullet Sensors & Signals

        

  Title: Sensors & Signals (Book Series)

  Editors: Sergey Y. Yurish and Amin Daneshmand Malayeri

  Publisher: International Frequency Sensor Association (IFSA) Publishing, S. L.

  Format: hardcover and pdf (Acrobat), 208 pages

  Pubdate: 15 September 2014

  Price: 39.99 EUR (e-book in pdf format) and 59.99 EUR (print hardcover book). Shipping cost by standard mail without a tracking code is included.

  Delivery time for the print book: 7-17 days dependent on country of destination. Please contact us for priority (5-9 days), ground (3-8 days) and express (2-3 days) delivery options by e-mail

  ISBN: 978-84-608-2320-9; e-ISBN: 978-84-608-2319-3

  BIC: TBM

 

 

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Sensors & Signals book's cover

 

Book Description

 

 

Sensors & Signals is the first book from the Book Series of the same name published by IFSA Publishing. The book contains eight chapters written by authors from universities and research centers from 12 countries: Cuba, Czech Republic, Egypt, Malaysia, Morocco, Portugal, Serbia, South Korea, Spain and Turkey. The coverage includes most recent developments in:

  • Virtual instrumentation for analysis of ultrasonic signals;

  • Humidity sensors (materials and sensor preparation and characteristics);

  • Fault tolerance and fault management issues in Wireless Sensor Networks;

  • Localization of target nodes in a 3-D Wireless Sensor Network;

  • Opto-elastography imaging technique for tumor localization and characterization;

  • Nuclear and geophysical sensors for landmines detection;

  • Optimal color space for human skin detection at image recognition;

  • Design of narrowband substrate integrated waveguide bandpass filters.

Each chapter of the book includes a state-of-the-art review in appropriate topic and well selected appropriate references at the end.

With its distinguished editors and international team of contributors Sensors & Signals is suitable for academic and industrial research scientists, engineers as well as PhD students working in the area of sensors and its application.

 

 

Contents:

 

 

1. Virtual Instrumentation with Embedded Control Applied to the Analysis of Ultrasonic Signals in Metallic Structures

 

1.1. Introduction

1.2. Description of the Hardware

1.3. Description of the Software

      1.3.1 Fourier

      1.3.1.1. FFT (Fast Fourier Transformation)

      1.3.1.2. STFT (Short-Time Fourier Transform)

      1.3.2. Software Dispersion Curves

1.4. Experimental Results

1.5. Conclusion

References

 

 

2. Humidity Sensors Based on Substituted Phthalocyanines and either TiO2 or Carbon Black Nanolayers Modified with them and on the Sandwich 

    Double Layer Structures, Consisting of Hydrophilic and Hydrophobic Phthalocyanine Derivatives

 

2.1. Introduction

2.2. Humidity Hybrid Sensor Based on TiO2 Nanolayer Modified with Sulfonated Hydroxyaluminium Phthalocyanine

      2.2.1. Materials

      2.2.2. TiO2 Thin Films Preparation and Modification of them with AlPcSNa

      2.2.3. Response Detection

      2.2.4. Results and Discussion

2.3. Phtalocyanine Hybrid Humidity Sensors Based on Carbon Nanoparticles and Sodium Salt of Sulfonated Nickel Phthalocyanine

      2.3.1. Materials

      2.3.1.1. Sodium Salt of Sulfonated Nickel Phthalocyanine

      2.3.1.2. Thin Carbon Films Preparation

      2.3.1.3. Double Layer NiPcSNa/Carbon Humidity Sensors

      2.3.2. Measurement of Sensor Characteristics

      2.3.3. Results and Discussion

2.4. Humidity Sandwich Sensors Based on Double Layer Structure consisting of Hydrophilic and Hydrophobic Nickel Phthalocyanine Derivatives

      2.4.1. Materials

      2.4.1.1. Sodium Salt of Sulfonated Nickel Phthalocyanine

      2.4.1.2. Nickel Phthalocyanine Sulfonamide NiPc(SA)

      2.4.2. Sensor Preparation and Response Detection

      2.4.3. Results and Discussion

2.5. Conclusions

Acknowledgements

References

 

 

3. Fault Tolerance and Fault Management Issues in Wireless Sensor Networks: Recent Developments

 

3.1. Definition of Fault Management and Fault Tolerance in WSN

3.2. Fault Tolerance Management Frameworks

      3.2.1. Energy Aware Framework

      3.2.2. Generic Component Framework - FlexFT

      3.2.3. Relay Based Framework

      3.2.4. Cross Layer Design Based Framework - FTMM

      3.2.4.1. Major Building Blocks of FTMM

Sub-module: Fault Prevention

Sub-module: Fault Detection

Sub-module: Fault Identification

Sub-module: Fault Recovery

      3.2.4.2. Fault Tolerance Management Module (FTMM) operation

3.3. Conclusion

References

 

 

4. Hybrid RSS/AoA-based Localization of Target Nodes in a 3-D Wireless Sensor Network

 

4.1. Introduction

4.2. Problem Formulation

4.3. The Proposed SDP Estimators

      4.3.1. Transmit Power is Known

      4.3.2. Transmit Power is Unknown

4.4. Complexity Analysis

4.5. Simulation Results

4.6. Conclusions

Acknowledgements

References

 

 

5. Cost-effective Early Breast Tumor Detection Imaging System: Tactile and Near-Infrared Hybrid Imaging

5.1. Introduction

5.2. Background

      5.2.1. Human Tactile Perception

      5.2.2. Biology of the Human Finger

5.3. Sensor Design and Sensing Principle

      5.3.1. Design Requirement for Emulating Human Finger

      5.3.2. Sensor Design

      5.3.3. Sensing Principle

      5.3.4. Sensor Specification

5.4. Elasticity Estimation

      5.4.1. Stress Estimation

      5.4.2. Strain Estimation using Non-rigid Pattern Matching Algorithm

      5.4.2.1. Point Correspondence

      5.4.2.2. Transformation Function

      5.4.3. Elasticity Measurement from Stress and Strain

5.5. Experiment Results

      5.5.1. Normal Force Estimation Experiment

      5.5.2. Strain and Elasticity Measurement Using Soft Polymers

5.6. Conclusions

Acknowledgments

References

 

 

6. Integrated Detection of Landmines using Nuclear and Geophysical Sensors

 

6.1. Introduction

6.2. Nuclear Techniques for Landmine Detection

6.3. Neutron Backscattering

      6.3.1. Principles

      6.3.2. ESCALAD: Egypt SCAnning LAndmine Detector

6.4. Near Surface Geophysics

6.5. Eexperimental Setup and Results

      6.5.1. Experiment Area and Examined Objects

      6.5.2. Electromagnetic and Neutron Backscattering Integration

      6.5.3. Magnetic and Neutron Backscattering Integration

6.6. Multi Sensor Decision Fusion

Acknowledgements

References

 

 

7. Using Color, Color-Texture and the MLP Neural Network to Select an Optimal Color Space for Human Skin Detection

7.1. Introduction

7.2. Color Spaces

7.3. Texture Features

7.4. Preparing the Datasets Using Color Features Only

7.5. Combining Color and Texture Features

7.6. Training the ANN Using Color Features

7.7. Training the ANN Using Color–Texture Features

7.8. Testing the ANN Using Color Features

7.9. Testing Using a Combination of Color and Texture Features

7.10. Discussion

7.11. Conclusion

Acknowledgment

References

 

 

8. Design of Narrowband Substrate Integrated Waveguide Bandpass Filters

8.1. Introduction

8.2. Theoretical Study

      8.2.1. Design of the SIW Technology

      8.2.2. Adaptation of SIW Guide

      8.2.3. Theoretical Study of SIW Bandpass Filter

      8.2.4. Complementary Split Ring Resonators ‘CSRR’

8.3. Results

      8.3.1. SIW Filter with Inductive Post-Wall Irises in the C-Band

      8.3.2. SIW Filter with Circular Inductive Post in the C-Band

      8.3.3. SIW Filter with Circular Inductive Post in the Q-Band

      8.3.4. SIW Filter with Inductive Post-Wall Irises in the V-Band

      8.3.5. SIW Bandpass Filter Based on Metamaterials (CSRRs) in the X-Band

      8.3.6. Design of a SIW Bandpass Filter in the X-Band with Three Methods

8.4. Conclusions

References

 

Index


 

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