Advances in Sensing with Security Applications

The chapters in this volume were presented at the July 2005NATO Advanced Study Institute on Advances in Sensing with Security App- cations. The conference was held at the beautiful Il Ciocco resort near Lucca, in the glorious Tuscany region of northern Italy. Once again we gathered at this idyllic s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Byrnes, Jim (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Nato Security through Science Series A:, Chemistry and Biology,
Temas:
Industrial engineering.
Production engineering.
Pattern recognition systems.
Geographic information systems.
Mathematics.
Mathematics-Data processing.
Analytical chemistry.
Industrial and Production Engineering.
Automated Pattern Recognition.
Geographical Information System.
Applications of Mathematics.
Computational Science and Engineering.
Analytical Chemistry.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface. Acknowledgments.Bistatic and multistatic radar sensors for homeland security.. 1. Introduction
  • 2 Definitions .-3. Bistatic essentials
  • 4. Passive Coherent Location (PCL)
  • 5. Multistatic radar .-6. Conclusions
  • 7. Acknowlegments .-References.The Terrorist Threat and Its Implications for Sensor Technologies.1. Introduction
  • 2. What is Terrorism?
  • 3. General Trends in Terrorism
  • 4.Significant Domestic Threats
  • 5. State Sponsored Terrorism
  • 6. Future Threats
  • 7. Preventions Efforts The Role of Sensors
  • 8. Improving Sensors
  • 9. Conclusions
  • References. Advances in sensors; the lessons from Neurosciences.1. Energies that affect earth living organisms survival
  • 2. The emergence of a nervous system. 3. Neurons as excitable cells
  • 4. Sensory neurons
  • 5. Sensory transduction
  • 6. Molecules of sensory transduction
  • 7. Hearing system and mechanosensation
  • 8. Temperature receptors
  • 9. Pain receptors
  • 10. Olfaction
  • 11. Vision .-12. General view of the sensory systems
  • References. Chemical sensors and chemical sensor systems.1. Introduction-Parameters
  • 2. Fundamentals Devices; 3. Thermopiles
  • 4. Kelvin Probe
  • 5. Bulk Acoustic Waves
  • 6. Surface Acoustic Waves
  • 7. Natural and Artificial Olfaction
  • 8. Optical Fibre Sensor
  • 9. Surface Plasmon Resonance
  • 10. Conclusions
  • References. Wireless Sensor Networks for Security: Issues and Challenges.1. Introduction
  • 2. Neyman-Pearson Detection
  • 3. Breach Probability Analysis [30].-4. Data Processing Architecture for Target Tracking
  • 5. Maximum Mutual Information Based Sensor Selection Algorithm
  • 6. Simulation Results
  • 7. Conclusion.-References. Internet-Scale Chemical Sensing.1. Introduction
  • 2. Chemical Sensing and Biosensing
  • 3. Miniaturised Analytical Instruments - Lab on a Chip Devices
  • 4. Analytical Device Hierarchy.-5. Networking Options.-6. Integrating Chemical Sensors and Biosensors with Wireless Networks
  • 7. Scale-up Issues for Densely Distributed Analytical Devices
  • 8. Chemo- & Bio-warfare Agents
  • 9. Sensor communities and group behaviour
  • 10. pHealth
  • 11. Conclusions
  • References. Data analysis for chemical sensor arrays..1. Feature extraction.-2. Data Pre-processing: Scaling
  • 3. Normalization.-4
  • Multivariate data exploration
  • 5. Principal Component Analysis
  • 6. Supervised Classification
  • 7. Linear Discrimination
  • 8. Application to the investigation of Chemical Sensors properties
  • 9. Conclusions
  • References. Fundamentals of Tomography and Radar. 1. Introduction.-2. Imaging and Resolution
  • 3. Tomographic Imaging
  • 4. The Projection Slice Theorem
  • 5. Tomography of Moving Targets
  • 6. Applications
  • 7. Automatic Target Recognition
  • 8. Bandwidth Extrapolation
  • 9. Target-matched Illumination
  • 10. Conclusion.-11. Acknowledgements
  • References. Remote Sensing using Space Based Radar.. 1. Introduction
  • 2. Geometry
  • 3. Range Foldover and Earth's Rotation
  • 4. Application of STAP for SBR .-5. Orthogonal Pulsing Scheme
  • References. Continuous wave radars-monostatic, multistatic and network .1.Introduction
  • 2. Radar fundamentals
  • 3. Linear Frequency Modulated Continuous Wave Radar
  • 4. Noise Radar
  • 5. Noise radar range equation
  • 6. Bi-static and multi-static continuous wave radars
  • 7. Target identification in continuous wave radars.-References. Terahertz Imaging, Millimeter-Wave Radar. 1. Introduction
  • 2. Atmospheric Limitations
  • 3. Millimeter-Wave and Terahertz Sources of Radiation.-4. Millimeter-Wave and Terahertz Detectors and Receivers
  • 5. Millimeter-Wave and Terahertz Optics.-6. Millimeter-Wave and Terahertz Systems
  • 7. Summary
  • References. Sensor Management for Radar: A Tutorial; 1. Introduction
  • 2. Radar Fundamentals
  • 3. Sensor Management Overview
  • 4. Theory of Waveform Libraries.-5. Sensor scheduling simulations and results
  • References. Waveform Design, Range CFAR and Target Recognition. 1. Introduction
  • 2. Combination of LFMCW and FSK modulation principles for automotive radar systems
  • Automotive Radar Network Based On 77GHz FMCW Sensors
  • 4. Range CFAR Techniques
  • 5. Conclusion.-References. Tomography of Moving Targets (TMT) for Security and Surveillance. . 1.Introduction
  • 2. Tomography Concept and Framework .-3. Bistatic Geometry and Observables .-4. Matched Filter Processing (MFP)
  • 5. TMT Netted Radar System.-6. TMT MFP Simulation
  • 7. Detection Perfomance.-8. Summary
  • 9. Acknowledgements
  • References. Near Infrared Imaging and Spectroscopy for Brain Activity Monitoring..1. Introduction
  • 2. NIR Imaging and Spectroscopy Systems
  • 3. Hemodynamic Response
  • 4. Neuronal Response
  • 5. Human Subject Studies
  • 6. Concluding Remarks and Future Directions.-References. Topic Index.

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