Tabla de Contenidos: “…Mohamed, Zheng Duan and Pieter van der Zaag Estimation of Reservoir Discharges from Lake Nasser and Roseires Reservoir in the Nile Basin Using Satellite Altimetry and Imagery Data Reprinted from: Remote Sens. 2014, 6(8), 7522-7545 http://www.mdpi.com/2072-4292/6/8/7522 -- Muriel Bergé-Nguyen and Jean-François Crétaux Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets Reprinted from: Remote Sens. 2015, 7(2), 2127-2151 http://www.mdpi.com/2072-4292/7/2/2127 -- Alena Dostálová, Marcela Doubková, Daniel Sabel, Bernhard Bauer-Marschallinger and Wolfgang Wagner Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa Reprinted from: Remote Sens. 2014, 6(8), 7683-7707 http://www.mdpi.com/2072-4292/6/8/7683…”

Tabla de Contenidos: “…Valores límite permisibles -- 2.16.2. Peligros del radar -- 2.16.3. Medidas de protección -- 2.17. Legislación colombiana para radiaciones no ionizantes -- 2.18. …”

Tabla de Contenidos: “…-- Summary -- Chapter 6: The Business Model Toolbox - An Evolution of Tools for Business Model Innovation -- The Business Model Wheel - 2005 -- The Innovation Radar - 2006 -- The Business Model Canvas - 2010 -- Take 1 - the Business Model Canvas -- Take 2 - the Value Proposition Canvas -- Lean Canvas - 2010 -- Tool 1 - the Lean Canvas -- Tool 2 - the Experiment Canvas -- Business Model Innovation Factory - 2012 -- The Peter Thomson Value Proposition Canvas - 2013 -- The Ten Types of Innovation - 2013 -- The Future Lens Business Model Framework - 2015 -- The Business Model Meta Formula Canvas - 2015 -- The GInI Business Model Canvas - 2016 -- A comparison of tools -- Our takeaway -- Back to Intensifi - where are they at this point? …”

Tabla de Contenidos: “…Capacidad de la fibra óptica -- 2.5 ONDAS DE RADIO -- 2.5.1 Enlace de microondas -- 2.6 LOS SATÉLITES DE COMUNICACIONES -- 2.6.1 Las órbitas satelitales -- 2.6.2 Los sistemas VSAT -- 2.6.3 El sistema de posicionamiento GPS -- 2.6.3.1 Aplicaciones del GPS -- 2.6.3.2 Equipos GPS de usuario -- 2.7 EL ESPECTRO ELECTROMAGNÉTICO -- 2.7.1 Bandas de frecuencia -- 2.7.2 La longitud de onda -- 2.7.2.1 El radar -- 2.7.2.2 La onda corta -- 2.8 LAS ANTENAS -- 2.8.1 El dipolo -- 2.8.2 La parabólica -- 2.9 TECNOLOGÍA DE LOS SATÉLITES DE COMUNICACIONES -- 2.9.1 Puesta en órbita del satélite -- 2.9.2 Bandas de frecuencias -- 2.9.3 Elementos de las redes satelitales -- 2.10 INFRAESTRUCTURAS EN EDIFICIOS -- 2.10.1 Sistema de cableado estructurado -- 2.10.1.1 Paneles de conexión y/o distribución -- 2.10.1.2 Longitudes máximas (...) -- 2.10.2 Cables de cobre de pares trenzados -- 2.11 ICT.(...) -- 2.11.1 Elementos técnicos que constituyen la ICT -- 2.11.2 Hogar digital -- 3 TECNOLOGÍAS DE COMUNICACIONES -- 3.1 LAS TÉCNICAS DE CONMUTACIÓN -- 3.1.1 Conmutación de circuitos -- 3.1.1.1 Conmutación en el espacio y en el tiempo -- 3.1.1.2 Técnica de multiplexación (...) -- 3.1.2 Conmutación de mensajes -- 3.1.3 Conmutación de paquetes -- 3.1.3.1 Ventajas de la conmutación de paquetes -- 3.2 EVOLUCIÓN DE LA CONMUTACIÓN DE PAQUETES -- 3.2.1 El protocolo X.25 (paquetes) -- 3.2.2 Frame Relay (tramas) -- 3.2.3 ATM (Modo de Transferencia Asíncrona) -- 3.2.3.1 Composición de los paquetes (...) -- 3.3 EL PROTOCOLO IP -- 3.3.1 Origen y evolución de Internet -- 3.3.2 Funcionamiento de TCP/IP -- 3.3.3 Direccionamiento en IP -- 3.3.3.1 Puertos -- 3.4 LA TRANSMISIÓN -- 3.4.1 Jerarquía Plesiócrona -- 3.4.1.1 Estándares de transmisión -- 3.4.2 Jerarquía Digital Síncrona…”

Tabla de Contenidos: “…. -- 10.6 Hulkbuster Ultron Edition -- 10.7 Blitzlicht für Achterbahnen (10261/31084) -- 10.8 Leuchtturm (31051) -- 11 Teilereferenz für LED-Einbau -- 11.1 Modifizierte Steine -- 11.2 Platten und Fliesen -- 11.3 Technic-Bauteile -- 11.4 Transparente Teile für Beleuchtungen -- 11.5 Felgen und Räder -- 11.6 Satellitenschüsseln (Radar/Dish) -- 11.7 Platinenhalter -- 11.8 Sonstige Teile -- 11.9 Konstruktionen -- Anhang -- Index -- Bildnachweis -- _GoBack…”

Tabla de Contenidos: “…-- Specific certifications to pursue -- Keeping up with the Joneses -- A List Apart -- Daily.dev -- dZone -- Hacker News (Y Combinator) -- InfoQ -- SD Times -- Technology Radar…”

Tabla de Contenidos: “…McLernon) -- 6.1 Introduction -- 6.2 Classification of Implicit Training Methods -- 6.3 IT-Based Estimation for a Single User -- 6.4 IT-Based Estimation for Multiple Users Exploiting Array Processing: Continuous Transmission -- 6.5 IT-Based Estimation for Multiple Users Exploiting Array Processing: Packet Transmission -- 6.6 Open Research Problems -- Acknowledgments -- References -- 7. Unitary Design of Radar Waveform Diversity Sets (Michael D. Zoltowski, Tariq R. …”

Tabla de Contenidos: “…Intro -- Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Contributors -- Chapter 1 A Review on Comparative Study of Image-Denoising in Medical Imaging -- 1.1 Introduction -- 1.1.1 Evaluation of Image-Denoising Techniques -- 1.1.2 Image-Denoising Techniques -- 1.1.3 Applications -- 1.1.4 Comparison -- 1.2 Conclusion -- References -- Chapter 2 Remote-Sensing Image Classification: A Comprehensive Review and Applications -- 2.1 Introduction -- 2.1.1 Need for This Survey -- 2.1.2 Need for Remote-Sensing Image Classification -- 2.1.3 Significance of Remote-Sensing Image Classification -- 2.1.4 Research Gap for Deep Learning-Based Remote-Sensing Image Classification -- 2.2 Deep Learning Architectures for Remote-Sensing Image Classification -- 2.2.1 Convolutional Neural Networks (CNNs) -- 2.2.2 Fully Convolutional Networks (FCNs) -- 2.2.3 U-Net -- 2.2.4 SegNet -- 2.2.5 DeepLab -- 2.2.6 Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) Networks -- 2.2.7 Autoencoders -- 2.2.8 Generative Adversarial Networks (GANs) -- 2.2.9 Capsule Networks (CapsNets) -- 2.2.10 Attention-Based Mechanisms -- 2.2.11 Graph Convolutional Networks (GCNs) -- 2.2.12 Siamese Networks -- 2.2.13 3D Convolutional Neural Networks (3D-CNNs) -- 2.3 Differences in Deep Learning Architectures for Remote-Sensing Image Classification -- 2.3.1 Architecture -- 2.3.2 Input Data -- 2.3.3 Training Strategy -- 2.3.4 Transfer Learning -- 2.3.5 Optimization -- 2.3.6 Interpretability -- 2.4 Remote-Sensing Data Sources and Characteristics -- 2.4.1 Satellites -- 2.4.2 UAVs -- 2.4.3 Multispectral Sensors -- 2.4.4 Hyperspectral Sensors -- 2.4.5 Synthetic Aperture Radar (SAR) -- 2.4.6 Spatial Resolution -- 2.4.7 Spectral Resolution -- 2.4.8 Temporal Resolution -- 2.4.9 Radiometric Resolution -- 2.5 Application of Deep Learning in Remote Sensing…”

Tabla de Contenidos: “…Ambulance Drone for Rescue - A Perspective on Conceptual Design, Life Detection Systems, and Prototype Development -- 6.1 Introduction -- 6.2 Conceptual Design: Main Components -- 6.3 Systems for Searching Human Presence - A Survey -- 6.3.1 Human Presence Detection Employing MMW -- 6.3.2 Method of Identifying Humans from Other Moving Creatures -- 6.3.3 The Image Processing by Using Thermal Image Technique - Haar-Cascade Classifier -- 6.3.4 The Random Human Body Motion -- 6.3.5 Heartbeat Sensing by Using Doppler Radar -- 6.3.6 Design of Robotic Arm in a UAD -- 6.4 Unmanned Ambulance Drone Prototype Specification Details -- 6.5 Conclusion -- References -- 7. …”

“…Main applications to industry, design of fractal antennas to receive all frequencies and that is used in all cell phones, spacecraft, radars, image processing, measure, porosity, turbulence, scattering theory. …”

“…In the last 40 years, the microstrip antenna has been developed for many communication systems such as radars, sensors, wireless, satellite, broadcasting, ultra-wideband, radio frequency identifications (RFIDs), reader devices etc. …”

“…Chapters discuss MATLAB programming for practical usages in mesosphere-stratosphere-troposphere (MST) radars, geometric segmentation, Bluetooth applications, and control of electric drives. …”

Tabla de Contenidos: “…7.4 Green Six Sigma in Project Management -- 7.5 Green Six Sigma in Small and Medium-Sized Enterprises -- 7.6 Summary -- Part II Tools for Green Six Sigma -- 8 Tools for Definition -- 8.1 Introduction -- 8.2 Description of Tools for Definition -- 8.2.1 D1: IPO Diagram -- 8.2.2 D2: SIPOC Diagram -- 8.2.3 D3: Flow Diagram -- 8.2.4 D4: Critical to Quality Tree -- 8.2.5 D5: Project Charter -- 8.3 Summary -- 9 Tools for Measurement -- 9.1 Introduction -- 9.2 Description of Tools for Measurement -- 9.2.1 M1: Check Sheets -- 9.2.2 M2: Histograms -- 9.2.3 M3: Run Charts -- 9.2.4 M4: Scatter Diagrams -- 9.2.5 M5: Cause and Effect Diagrams -- 9.2.6 M6: Pareto Charts -- 9.2.7 M7: Control Charts -- 9.2.8 M8: Flow Process Charts -- 9.2.9 M9: Process Capability Measurement -- 9.3 Summary -- 10 Tools for Analysis -- 10.1 Introduction -- 10.2 Description of Tools for Analysis -- 10.2.1 A1: Process Mapping -- 10.2.2 A2: Regression Analysis -- 10.2.3 A3: RU/CS Analysis -- 10.2.4 A4: SWOT Analysis -- 10.2.5 A5: PESTLE Analysis -- 10.2.6 A6: The Five Whys -- 10.2.7 A7: Interrelationship Diagram -- 10.2.8 A8: Overall Equipment Effectiveness -- 10.2.9 A9: Tree Diagram -- 10.3 Summary -- 11 Tools for Improvement -- 11.1 Introduction -- 11.2 Description of Tools for Improvement -- 11.2.1 I1: Affinity Diagram -- 11.2.2 I2: Nominal Group Technique -- 11.2.3 I3: SMED -- 11.2.4 I4: Five S's -- 11.2.5 I5: Mistake Proofing -- 11.2.6 I6: Value Stream Mapping -- 11.2.7 I7: Brainstorming -- 11.2.8 I8: Mind Mapping -- 11.2.9 I9: Force Field Analysis -- 11.3 Summary -- 12 Tools for Control -- 12.1 Introduction -- 12.2 Description of Tools for Control -- 12.2.1 C1: Gantt Chart -- 12.2.2 C2: Activity Network Diagram -- 12.2.3 C3: Radar Chart -- 12.2.4 C4: The PDCA Cycle -- 12.2.5 C5: Milestone Tracker Diagram -- 12.2.6 C6: Earned Value Management -- 12.3 Summary…”

“…The latest technologies applied include 3D model analysis and visualization of glaciers, UAV video image classification for turf grass mapping and irrigation planning, ground penetration radar for soil moisture estimates, TRMM and GPM satellite rainfall measurements, storm hyetograph analysis, rainfall runoff and urban flooding simulation, satellite radar and optical image classification for urban water bodies and flooding inundation. …”

“…., as well as of the equipment inthe currently booming field of telecommunications, such as antennas, radars, etc.The present book is uniquely written to enable the reader-- be it a student, a scientist, or a practitioner-- to successfully perform important simulation techniques and to design efficient computer software for electromagnetic device analysis. …”

“…This book aims at describing the wide variety of new technologies and concepts of non-standard antenna systems - reconfigurable, integrated, terahertz, deformable, ultra-wideband, using metamaterials, or MEMS, etc, and how they open the way to a wide range of applications, from personal security and communications to multifunction radars and towed sonars, or satellite navigation systems, with space-time diversity on transmit and receive. …”

“…It includes background information on primary radar, secondary radar, Mode A/C, Mode S, and ADS-B, as well as the hardware and software setups necessary to gather radio signals. …”

“…The proposed book Novel Applications of the UWB Technologies consists of 5 parts and 20 chapters concerning the general problems of UWB communication systems, and novel UWB applications in personal area networks (PANs), medicine, radars and localization systems. The book will be interesting for engineers and researchers occupied in the field of UWB technology…”

“…Ultra wideband communication system applications include radars, wireless personal area networks, sensor networks, imaging systems and high precision positioning systems. …”

Tabla de Contenidos: “…10.3.3 Game Formulation 369 -- 10.3.4 Bayesian Equilibrium 370 -- 10.3.5 Numerical Results 371 -- 10.4 Games in Collaborative Spectrum Sensing 372 -- 10.4.1 False Report Attack 373 -- 10.4.2 Game Formulation 373 -- 10.4.3 Elements of Game 374 -- 10.4.4 Bayesian Equilibrium 376 -- 10.4.5 Numerical Results 379 -- 11 Cognitive Radio Network 381 -- 11.1 Basic Concepts of Networks 381 -- 11.1.1 Network Architecture 381 -- 11.1.2 Network Layers 382 -- 11.1.3 Cross-Layer Design 384 -- 11.1.4 Main Challenges in Cognitive Radio Networks 384 -- 11.1.5 Complex Networks 385 -- 11.2 Channel Allocation in MAC Layer 386 -- 11.2.1 Problem Formulation 386 -- 11.2.2 Scheduling Algorithm 387 -- 11.2.3 Solution 389 -- 11.2.4 Discussion 390 -- 11.3 Scheduling in MAC Layer 391 -- 11.3.1 Network Model 391 -- 11.3.2 Goal of Scheduling 393 -- 11.3.3 Scheduling Algorithm 393 -- 11.3.4 Performance of the CNC Algorithm 395 -- 11.3.5 Distributed Scheduling Algorithm 396 -- 11.4 Routing in Network Layer 396 -- 11.4.1 Challenges of Routing in Cognitive Radio 397 -- 11.4.2 Stationary Routing 398 -- 11.4.3 Dynamic Routing 402 -- 11.5 Congestion Control in Transport Layer 404 -- 11.5.1 Congestion Control in Internet 404 -- 11.5.2 Challenges in Cognitive Radio 405 -- 11.5.3 TP-CRAHN 406 -- 11.5.4 Early Start Scheme 408 -- 11.6 Complex Networks in Cognitive Radio 417 -- 11.6.1 Brief Introduction to Complex Networks 418 -- 11.6.2 Connectivity of Cognitive Radio Networks 421 -- 11.6.3 Behavior Propagation in Cognitive Radio Networks 423 -- 12 Cognitive Radio Network as Sensors 427 -- 12.1 Intrusion Detection by Machine Learning 429 -- 12.2 Joint Spectrum Sensing and Localization 429 -- 12.3 Distributed Aspect Synthetic Aperture Radar 429 -- 12.4 Wireless Tomography 433 -- 12.5 Mobile Crowdsensing 434 -- 12.6 Integration of 3S 435 -- 12.7 The Cyber-Physical System 435 -- 12.8 Computing 436 -- 12.8.1 Graphics Processor Unit 437 -- 12.8.2 Task Distribution and Load Balancing 437 -- 12.9 Security and Privacy 438.…”