“…Other sections span a range of analog design topics, including data conversion…”

“…Recipe topics include file conversion (DOS, UNIX, and Mac), system administration, resource monitoring, filename management, complex date calculations, screen control capabilities, and much more. …”

Tabla de Contenidos: “…Applications -- 4.6. Electromechanical conversion -- moving bar in a uniform B-field -- 4.6.1. …”

Tabla de Contenidos: “…6.2 Clip (cortar) -- 6.3 Intersect (intersecar) -- 6.4 Unión -- 6.5 Dissolve (disolver) -- Capítulo 7 -- Análisis de superposición -- y proximidad -- 7.1 Spatial Join (unión espacial) -- 7.2 Buffer simple -- 7.3 Buffer múltiple -- 7.4 Polígonos de Thiessen -- Capítulo 8 -- Procesamiento de -- imágenes Landsat -- 8.1 Composición de bandas -- 8.2 Combinación de bandas -- 8.3 Comparación de imágenes -- 8.4 Pansharp (refinado panorámico) -- 8.5 Corte y guardado de imágenes -- 8.6 Extracción con máscara -- Capítulo 9 -- Cálculo del Índice Diferencial de Vegetación Normalizado (NDVI) -- 9.1 NDVI - Image Analysis -- 9.2 NDVI - calculadora ráster -- 9.3 Proyección ráster -- Capítulo 10 -- Análisis espacial de modelos digitales -- 10.1 Creación de un Modelo Digital de Elevación (DEM) -- 10.2 Simbología y perfil topográfico -- 10.3 Reclasificación ráster y conversión de ráster a polígono -- 10.4 Creación de un modelo TIN -- 10.5 Creación de curvas de nivel a partir de un ráster -- 10.6 Modelo de sombras -- 10.7 Análisis Cut/Fill -- 10. 8 Modelo de pendientes a partir de ráster -- 10.9 Modelo de aspecto o de orientación de pendiente -- 10.10 Análisis de visibilidad -- Glosario -- Referencias…”

Tabla de Contenidos: “…3.8 Multidimensional Array3.9 Queue; 3.10 Stack; 3.11 Linear Systolic Array; Problems; References; 4 Verilog Vision Simulator; 4.1 Vision Simulator; 4.2 Image Format Conversion; 4.3 Line-based Vision Simulator Principle; 4.4 LVSIM Top Module; 4.5 LVSIM IO System; 4.6 LVSIM RAM and Processor; 4.7 Frame-based Vision Simulator Principle; 4.8 FVSIM Top Module; 4.9 FVSIM IO System; 4.10 FVSIM RAM and Processor; 4.11 OpenCV Interface; Problems; References; Part Two Vision Principles; 5 Energy Function; 5.1 Discrete Labeling Problem; 5.2 MRF Model; 5.3 Energy Function; 5.4 Energy Function Models…”

Tabla de Contenidos: “…List of Abbreviations xvii -- Preface xxi -- Acknowledgements xxvii -- 1 Introduction to ΣΔ Modulators: Basic Concepts and Fundamentals 1 -- 1.1 Basics of A/D Conversion 2 -- 1.2 Basics of Sigma-Delta Modulators 8 -- 1.3 Classification of ΣΔ Modulators 15 -- 1.4 Single-Loop ΣΔ Modulators 16 -- 1.5 Cascade ΣΔ Modulators 24 -- 1.6 Multibit ΣΔ Modulators 29 -- 1.7 Band-Pass ΣΔ Modulators 36 -- 1.8 Continuous-Time ΣΔ Modulators 41 -- 1.9 Summary 49 -- 2 Circuits and Errors: Systematic Analysis and Practical Design Issues 54 -- 2.1 Nonidealities in Switched-Capacitor ΣΔ Modulators 55 -- 2.2 Finite Amplifier Gain in SC-ΣΔMs 56 -- 2.3 Capacitor Mismatch in SC-ΣΔMs 60 -- 2.4 Integrator Settling Error in SC-ΣΔMs 62 -- 2.5 Circuit Noise in SC-ΣΔMs 71 -- 2.6 Clock Jitter in SC-ΣΔMs 75 -- 2.7 Sources of Distortion in SC-ΣΔMs 76 -- 2.8 Nonidealities in Continuous-Time ΣΔ Modulators 80 -- 2.9 Clock Jitter in CT-ΣΔMs 81 -- 2.10 Excess Loop Delay in CT-ΣΔMs 85 -- 2.11 Quantizer Metastability in CT-ΣΔMs 88 -- 2.12 Finite Amplifier Gain in CT-ΣΔMs 89 -- 2.13 Time-Constant Error in CT-ΣΔMs 92 -- 2.14 Finite Integrator Dynamics in CT-ΣΔMs 94 -- 2.15 Circuit Noise in CT-ΣΔMs 95 -- 2.16 Sources of Distortion in CT-ΣΔMs 97 -- 2.17 Case Study: High-Level Sizing of a ΣΔM 99 -- 2.18 Summary 107 -- 3 Behavioral Modeling and High-Level Simulation 110 -- 3.1 Systematic Design Methodology of ΣΔ Modulators 110 -- 3.2 Simulation Approaches for the High-Level Evaluation of ΣΔMs 113 -- 3.3 Implementing ΣΔM Behavioral Models 118 -- 3.4 Efficient Behavioral Modeling of ΣΔM Building Blocks using C-MEX S-Functions 134 -- 3.5 SIMSIDES: A SIMULINK-Based Behavioral Simulator for ΣΔMs 159 -- 3.6 Using SIMSIDES for the High-Level Sizing and Verification of ΣΔMs 167 -- 3.7 Summary 183 -- 4 Circuit-Level Design, Implementation, and Verification 186 -- 4.1 Macromodeling ΣΔMs 186 -- 4.2 Including Noise in Transient Electrical Simulations of ΣΔMs 199 -- 4.3 Processing ΣΔM Output Results of Electrical Simulations 208.…”

Tabla de Contenidos: “…. -- Understanding the Flowable and Subscriber -- The Subscriber -- Creating a Flowable -- Using Flowable.create() and BackpressureStrategy -- Turning an Observable into a Flowable (and vice-versa) -- Using onBackpressureXXX() operators -- onBackPressureBuffer() -- onBackPressureLatest() -- onBackPressureDrop() -- Using Flowable.generate() -- Summary -- Chapter 9: Transformers and Custom Operators -- Transformers -- ObservableTransformer -- FlowableTransformer -- Avoiding shared state with Transformers -- Using to() for fluent conversion -- Operators -- Implementing an ObservableOperator -- FlowableOperator -- Custom Transformers and operators for Singles, Maybes, and Completables -- Using RxJava2-Extras and RxJava2Extensions -- Summary -- Chapter 10: Testing and Debugging -- Configuring JUnit -- Blocking subscribers -- Blocking operators -- blockingFirst() -- blockingGet() -- blockingLast() -- blockingIterable() -- blockingForEach() -- blockingNext() -- blockingLatest() -- blockingMostRecent() -- Using TestObserver and TestSubscriber -- Manipulating time with the TestScheduler -- Debugging RxJava code -- Summary -- Chapter 11: RxJava on Android -- Creating the Android project -- Configuring Retrolambda -- Configuring RxJava and friends -- Using RxJava and RxAndroid -- Using RxBinding -- Other RxAndroid bindings libraries -- Life cycles and cautions using RxJava with Android -- Summary -- Chapter 12: Using RxJava for Kotlin New -- Why Kotlin? …”

Tabla de Contenidos: “…3.02 Modifying your capture workflow for raw3.03 Using the Adobe Photo Downloader; 3.04 The Adobe Camera Raw interface; 3.05 The Conversion process; 3.06 Keeping ACR up to date; 3.07 Other Raw plug-ins; 4. …”

Tabla de Contenidos: “…Further Reading -- Chapter 7 Water Hammering -- 7.1 Introduction -- 7.2 Water Hammering and Pressure Loss in Check Valves -- 7.3 Water Hammering Calculations -- Questions and Answers -- Further Reading -- Chapter 8 Safety Valves -- 8.1 Introduction -- 8.2 Safety Valve Parts -- 8.3 Safety Valve Design and Operation -- 8.3.1 Design and Operation Parameters -- 8.3.1.1 Overpressure Criteria -- 8.3.2 Principle of Operation -- 8.3.3 Safety Valve Reaction Forces -- 8.3.4 Safety Valve Capacity Conversion -- Questions and Answers -- Further Reading -- Chapter 9 Safety and Reliability -- 9.1 Introduction -- 9.2 Safety Standards -- 9.3 Risk Analysis -- 9.4 Basic Safety and Reliability Concepts -- 9.4.1 System Incidents and Failures -- 9.4.1.1 Failure Rate -- 9.4.1.2 Repair Rate -- 9.4.1.3 Mean Time to Failure (MTTF) -- 9.4.1.4 Mean Time Between Failure (MTBF) -- 9.4.1.5 Mean Time to Repair and Recovery (MTTR) -- 9.4.1.6 Mean Time to Detection (MTTD) -- 9.4.2 Reliability and Unreliability -- 9.4.3 Availability and Unavailability -- 9.5 Safety Integrity Level (SIL) Calculations -- 9.5.1 SIL -- 9.5.2 Probability of Failure on Demand (PFD) -- 9.5.3 Mean Downtime -- 9.5.4 Diagnostic Coverage -- 9.5.5 Safe Failure Fraction (SFF) -- 9.6 Condition Monitoring (ValveWatch) -- Questions and Answers -- Further Reading -- Chapter 10 Valve Operation -- 10.1 Introduction -- 10.2 Valve Torque -- 10.3 Stem Design -- 10.3.1 MAST Calculations -- 10.3.2 Buckling Prevention -- 10.3.3 Torsional Deflection Prevention -- 10.3.4 MAST Limitation for Quarter-Turn Cryogenic Valves -- Questions and Answers -- Further Reading -- Chapter 11 Miscellaneous -- 11.1 Introduction -- 11.2 Joint Efficiency -- 11.2.1 Weld Joint Efficiency -- 11.2.2 Bolted Joint Efficiency -- 11.2.2.1 Bolted Bonnet or Cover Joints -- 11.2.2.2 Bolted Body Joints -- 11.2.3 Threaded Joint Efficiency…”

Tabla de Contenidos: “…2.2 Optical Signal Processing for Optical Packet Switching Networks2.2.1 Packet Switching in Today's Optical Networks; 2.2.2 All-Optical Packet Switching Networks; 2.2.3 Optical Signal Processing and Optical Wavelength Conversion; 2.2.4 Asynchronous Optical Packet Switching and Label Swapping Implementations; 2.2.5 Sychronous OTDM; 2.3 Next-Generation Optical Networks as a Value Creation Platform; 2.3.1 Real Challenges in the Telecom Industry; 2.3.2 Changes in Network Roles; 2.3.3 The Next-Generation Optical Network; 2.3.4 Technological Challenges…”

Tabla de Contenidos: “…Text Documents; 2.1 Computer Typesetting; 2.2 Text Formats; 2.3 Ways of Searching; 2.4 Web Searching; 2.5 Thesauri; 2.6 Statistical Language Processing; 2.7 Document Conversion; 2.8 Summary; Chapter 3. Images of Pages; 3.1 Scanning; 3.2 Image Formats…”

“…The term nonimaging optics is concerned with applications where imaging formation is not important but where effective and efficient collection , concentration, transport and distribution of light energy is - i.e. solar energy conversion, signal detection, illumination optics, measurement and testing. …”

“…For ease of use, this edition has been divided into the following subject sections: general principles; materials and processes; control, power electronics and drives; environment; power generation; transmission and distribution; power systems; sectors of electricity use.New chapters and major revisions include: industrial instrumentation; digital control systems; programmable controllers; electronic power conversion; environmental control; hazardous area technology; electromagnetic compatibility; alternative energy sources; alternating current generators; electromagnetic transients…”

“…This book serves as an invaluable reference to Power Electronics Design, covering the application of high-power semiconductor technology to large motor drives, power supplies, power conversion equipment, electric utility auxiliaries and numerous other applications.Design engineers, design drafters and technicians in the power electronics industry, as well as students studying power electronics in various contexts, will benefit from Keith Sueker's decades of experience in the industry. …”

“…The pre-processing of these signals through electronic circuits - amplification, signal filtering and analog-to-digital conversion - is then detailed, in order to provide useful basic information. …”

Tabla de Contenidos: “…1.5.3 Lagrange's equations1.6 Linear and non-linear systems; 1.7 Systems of units; 1.7.1 Absolute and gravitational systems; 1.7.2 Conversion between systems; 1.7.3 The SI system; References; Chapter 2 The Linear Single Degree of Freedom System: Classical Methods; 2.1 Setting up the differential equation of motion; 2.1.1 Single degree of freedom system with force input; 2.1.2 Single degree of freedom system with base motion input; 2.2 Free response of single-DOF systems by direct solution of the equation of motion; 2.3 Forced response of the system by direct solution of the equation of motion…”

Tabla de Contenidos: “…Lighting Technology A Guide For Television, Film And Theatre; Copyright; Contents; Acknowledgements; 1 Introduction; 2 Lighting The Subject; 2.1 Basic Lighting; 2.2 Choice Of Light Sources And Luminaires; 2.3 Lighting Systems; 3 Theory Of Light; 3.1 Electromagnetic Spectrum; 3.2 F-Number (F-Stop); 3.3 The Eye; 3.4 Colour Perception; 3.5 Spectral Output Of Sources; 3.6 Filters; 3.7 Conversion Of Light In Film And TV Cameras; 4 Light Measurements; 4.1 Units, Terminology And Calculations; 4.2 Laws - Inverse Square And Cosine; 4.3 Polar Diagrams And Their Interpretation…”

Tabla de Contenidos: “…9.10 Compensation of CF and CGChapter 10: Voltage and Current Feedback Op Amp Comparison; 10.2 Precision; 10.3 Bandwidth; 10.4 Stability; Chapter 11: Fully Differential Op Amps; 11.4 Differential Gain Stages; 11.5 Single Ended to Differential Conversion; 11.7 A New Function; 11.8 Conceptualizing the VOCM Input; 11.10.1 Single Pole Filters; 11.10.4 Biquad Filter; Chapter 12: Op Amp Noise Theory and Applications; 12.2.2 Noise Floor; 12.3 Types of Noise; 12.4.3 Red/Brown Noise; 12.5.5 Noninverting Op Amp Circuit Noise; Chapter 13: Understanding Op Amp Parameters…”

Tabla de Contenidos: “…-- Diagnosis -- Instruction/Training -- Interpretation -- Planning/Scheduling -- Prediction -- Things to Remember -- Modes of Knowledge Conversion -- How to Codify Knowledge -- Codifying Tacit Knowledge -- Codification Tools and Procedures -- Knowledge Maps -- Decision Tables -- Decision Trees -- Frames -- Production Rules -- Case-Based Reasoning -- Knowledge-Based Agents -- The Knowledge Developer's Skill Set -- Knowledge Requirements -- Skills Requirements -- Implications for Knowledge Management -- Summary -- Terms to Know -- Test Your Understanding -- Knowledge Exercises -- References -- Chapter 8: System Testing and Deployment -- In a Nutshell -- Quality and Quality Assurance -- Knowledge Testing -- Key Definitions -- Issues to Consider -- Approaches to Logical Testing -- Circular Errors -- Redundancy Errors -- Unusable Knowledge -- Subsumption Errors -- Inconsistent Knowledge -- Approaches to User Acceptance Testing -- Test Team and Plan -- User Acceptance Test Criteria -- User Acceptance Test Techniques -- Managing the Testing Phase -- KM System Deployment -- Issues Related to Deployment -- Selection of the Knowledge Base Problem -- Ease of Understanding the KM System -- Knowledge Transfer -- Integration Alternatives -- The Issue of Maintenance -- Organizational Factors -- Other Factors -- Role of the Champion -- User Training and Deployment -- Preparing for KM System Training -- Combating Resistance to Change -- Postimplementation Review -- Security Considerations…”

Tabla de Contenidos: “…The main training loop -- Model Initialization -- Do not initialize all weights with zeros -- Initializing with a mean zero distribution -- Xavier-Bengio and the Initializer -- Improving generalization by regularizing -- L2 and L1 regularization -- Dropout -- The batch norm layer -- Summary -- Chapter 4: Object Detection and Segmentation -- Image classification with localization -- Localization as regression -- TensorFlow implementation -- Other applications of localization -- Object detection as classification - Sliding window -- Using heuristics to guide us (R-CNN) -- Problems -- Fast R-CNN -- Faster R-CNN -- Region Proposal Network -- RoI Pooling layer -- Conversion from traditional CNN to Fully Convnets -- Single Shot Detectors - You Only Look Once -- Creating training set for Yolo object detection -- Evaluating detection (Intersection Over Union) -- Filtering output -- Anchor Box -- Testing/Predicting in Yolo -- Detector Loss function (YOLO loss) -- Loss Part 1 -- Loss Part 2 -- Loss Part 3 -- Semantic segmentation -- Max Unpooling -- Deconvolution layer (Transposed convolution) -- The loss function -- Labels -- Improving results -- Instance segmentation -- Mask R-CNN -- Summary -- Chapter 5: VGG, Inception Modules, Residuals, and MobileNets -- Substituting big convolutions -- Substituting the 3x3 convolution -- VGGNet -- Architecture -- Parameters and memory calculation -- Code -- More about VGG -- GoogLeNet -- Inception module -- More about GoogLeNet -- Residual Networks -- MobileNets -- Depthwise separable convolution -- Control parameters -- More about MobileNets -- Summary -- Chapter 6: Autoencoders, Variational Autoencoders, and Generative Adversarial Networks -- Why generative models -- Autoencoders -- Convolutional autoencoder example -- Uses and limitations of autoencoders -- Variational autoencoders…”