Tabla de Contenidos: “…-- 8.4.2 - The Event Tree Model -- 8.4.3 - Quantification -- 8.4.4 - Differences -- 8.4.5 - Feedback Loops -- Chapter 9 - Quantifying the Reliability Models -- 9.1 - The Reliability Prediction Method -- 9.2 - Allowing for Diagnostic Intervals -- 9.2.1 - Establishing Diagnostic Coverage -- 9.2.2 - Modelling Diagnostic Coverage -- 9.2.3 - Partial Stroke Testing -- 9.2.4 - Safe Failure Fraction -- 9.3 - FMEDA (Failure Mode and Diagnostic Analysis) -- 9.4 - Human Factors -- 9.4.1 - Background -- 9.4.2 - Models -- 9.4.3 - HEART (Human Error Assessment and Reduction Technique) -- 9.4.4 - THERP (Technique for Human Error Rate Prediction) -- 9.4.5 - TESEO (Empirical Technique to Estimate Operator Errors) -- 9.4.6 - Other Methods -- 9.4.7 - Human Error Probabilities -- 9.4.8 - Trends in Rigor of Assessment -- 9.5 - Simulation -- 9.5.1 - The Technique -- 9.5.2 - Some Packages -- 9.5.2.1 - Optagon -- 9.5.2.2 - MAROS, TARO and TRAIL -- 9.5.2.3 - RAM4, RAMP and SAM -- 9.5.2.3.1 - RAM4 -- 9.5.2.3.2 - RAMP -- 9.5.2.3.3 - SAM -- 9.5.2.4 - ITEM ToolKit -- 9.6 - Comparing Predictions with Targets -- Chapter 10 - Risk Assessment (QRA) -- 10.1 - Frequency and Consequence -- 10.2 - Perception of Risk, ALARP and Cost per Life Saved -- 10.2.1 - Maximum Tolerable Risk (Individual Risk) -- 10.2.2 - Maximum Tolerable Failure Rate -- 10.2.3 - ALARP and Cost Per Life Saved -- 10.2.4 - Societal Risk -- 10.2.5 - Production/Damage Loss -- 10.2.6 - Environmental Loss -- 10.3 - Hazard Identification -- 10.3.1 - HAZOP -- 10.3.2 - HAZID -- 10.3.3 - HAZAN (Consequence Analysis) -- 10.4 - Factors to Quantify -- 10.4.1 - Reliability…”

Tabla de Contenidos: “…11.4.3 Differences in Mean Scores -- 11.4.4 Correlations Between Measures -- 11.4.5 Trajectories over Time -- 11.4.6 Substantive Models -- 11.5 Discussion -- Acknowledgements -- References -- Chapter 12 Panel Conditioning: Types, Causes, and Empirical Evidence of What We Know So Far -- 12.1 Introduction -- 12.2 Methods for Studying Panel Conditioning -- 12.3 Mechanisms of Panel Conditioning -- 12.3.1 Survey Response Process and the Effects of Repeated Interviewing -- 12.3.2 Reflection/Cognitive Stimulus -- 12.3.3 Empirical Evidence of Reflection/Cognitive Stimulus -- 12.3.3.1 Changes in Attitudes Due to Reflection -- 12.3.3.2 Changes in (Self‐Reported) Behaviour Due to Reflection -- 12.3.3.3 Changes in Knowledge Due to Reflection -- 12.3.4 Social Desirability Reduction -- 12.3.5 Empirical Evidence of Social Desirability Effects -- 12.3.6 Satisficing -- 12.3.7 Empirical Evidence of Satisficing -- 12.3.7.1 Misreporting to Filter Questions as a Conditioning Effect Due to Satisficing -- 12.3.7.2 Misreporting to More Complex Filter (Looping) Questions -- 12.3.7.3 Within‐Interview and Between‐Waves Conditioning in Filter Questions -- 12.4 Conclusion and Implications for Survey Practice -- References -- Chapter 13 Interviewer Effects in Panel Surveys -- 13.1 Introduction -- 13.2 Motivation and State of Research -- 13.2.1 Sources of Interviewer‐Related Measurement Error -- 13.2.1.1 Interviewer Deviations -- 13.2.1.2 Social Desirability -- 13.2.1.3 Priming -- 13.2.2 Moderating Factors of Interviewer Effects -- 13.2.3 Interviewer Effects in Panel Surveys -- 13.2.4 Identifying Interviewer Effects -- 13.2.4.1 Interviewer Variance -- 13.2.4.2 Interviewer Bias -- 13.2.4.3 Using Panel Data to Identify Interviewer Effects -- 13.3 Data -- 13.3.1 The Socio‐Economic Panel -- 13.3.2 Variables -- 13.4 The Size and Direction of Interviewer Effects in Panels…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Introduction to High Performance Drives 1.1 Preliminary Remarks 1.2 General Overview of High Performance Drives 1.3 Challenges and Requirements for Electric Drives for Industrial Applications 1.4 Organization of the Book References Chapter 2: Mathematical and Simulation Models of AC Machines 2.1 Preliminary Remarks 2.2 DC Motors 2.2.1 Separately Excited DC Motor Control 2.2.2 Series DC Motor Control 2.3 Squirrel Cage Induction Motor 2.3.1 Space vector representation 2.3.2 Per unit model of Induction Motor 2.3.3 Double Fed Induction Generator (DFIG) 2.4 Mathematical Model of Permanent Magnet Synchronous Motor Problems References Chapter 3: Pulse Width Modulation of Power Electronic DC-AC Converter 3.1 Preliminary Remarks 3.2 Classification of Pulse Width Modulation Schemes for Voltage source inverter 3.3 Pulse Width Modulated Inverters 3.3.1 Single Phase Half Bridge Inverters 3.3.1.1 Matlab/Simulink Model of Half Bridge Inverter 3.3.2 Single Phase Full Bridge Inverters 3.3.2.1 Matlab/Simulink Model of Single-phase Full-Bridge Inverter 3.4 Three-phase PWM voltage source inverter 3.4.1 Carrier based Sinusoidal PWM 3.4.2 Third Harmonic Injection Carrier-based PWM 3.4.3 Carrier-based PWM With Offset Addition 3.4.4 Space Vector PWM 3.4.5 Discontinuous Space Vector PWM 3.4.6 Matlab/Simulink Model for space vector PWM 3.4.7 Space Vector PWM in Over-modulation Region 3.4.8 Artificial Neural Network Based PWM 3.5 Relationship Between Carrier-based PWM and Space Vector PWM 3.6 Multi-level Inverters 3.6.1 Diode Clamped Multi-level Inverters 3.6.2 Flying Capacitor Type Multi-level Inverter 3.6.3 Cascaded H-Bridge Multi-level Inverter 3.7 Impedance Source or Z-Source Inverter 3.7.1 Circuit Analysis 3.7.2 Carrier-based Simple Boost PWM control of a Z-source Inverter 3.7.3 Carrier-based Maximum Boost PWM control of a Z-source Inverter 3.7.4 Matlab/Simulink model of Z-source inverter 3.8 Quasi Impedance Source or qZSI Inverter 3.8.1 Matlab/Simulink model of qZ-source inverter 3.9 Dead Time Effect in a Multi-phase Inverter 3.10 Summary References Chapter 4: Field Oriented Control of AC Machines 4.1 Introduction 4.2 Induction Machines Control 4.2.1 Control of Induction Motor using V/f method 4.2.2 Vector Control of Induction Motor [4.1-4.16] 4.2.3 Direct and Indirect Field Oriented Control 4.2.4 Rotor and stator flux computation 4.2.5 Adaptive flux observer 4.2.6 Stator Flux Orientation 4.2.7 Field Weakening Control 4.3 Vector Control of Double Fed Induction Generator (DFIG) 4.3.1 Introduction 4.3.2 Vector Control of DFIG connected with the Grid (abModel) 4.3.3 Simulation Results 4.4 Control of Permanent Magnet Synchronous Machine 4.4.1 Introduction 4.4.2 Vector Control of PMSM in dq axis 4.4.3 Vector Control of PMSM in a-baxis using PI controller 4.4.4 Scalar Control of PMSM Exercises Additional tasks Possible tasks for DFIG References Chapter 5: XXXXXXXXXX Chapter 6: Nonlinear Control of Electrical Machines Using Nonlinear Feedback 6.1 Introduction 6.2 dynamic system linearization using non-linear feedback 6.3 Nonlinear Control of Separately Excited DC Motor 6.3.1 Matlab/Simulink Nonlinear Control Model 6.3.2 Nonlinear Control Systems 6.3.3 Speed Controller 6.3.4 Control for variable m 6.3.5 Field Current Controller 6.3.6 Simulation Results 6.4 Multiscalar model (MM) of induction motor 6.4.1 Multiscalar variables 6.4.2 Nonlinear linearization of induction motor fed by voltage controlled VSI 6.4.3 Design of system control 6.4.4 Nonlinear linearization of induction motor fed by current controlled VSI 6.4.5 Stator oriented nonlinear control system (based on Ys,is) 6.4.6 Rotor-Stator Fluxes based Model 6.4.7 Stator Oriented Multiscalar Model 6.4.8 Multiscalar Control of Induction Motor 6.4.9 Induction Motor Model 6.4.10 State Transformation 6.4.11 Decoupled IM Model 6.5 MM of double fed induction machine (DFIM) 6.6 Nonlinear Control of Permanent Magnet Synchronous Machine 6.6.1 Nonlinear Control of PMSM for a dq motor model 6.6.2 Nonlinear Vector Control of PMSM in a-baxis 6.6.3 PMSM in a-b(x-y) axis 6.6.4 Transformation 6.6.5 Control System 6.6.6 Simulation Results Problems References Chapter 7: Five-Phase Induction Motor Drive System 7.1 Preliminary remarks 7.2 Advantages and Applications of Multi-phase drives 7.3 Modelling and Simulation of a Five-phase Induction motor drive 7.3.1 Five-phase Induction motor model 7.3.1.1 Phase variable model 7.3.1.2 Model transformation 7.3.1.3 Machine model in an arbitrary common reference frame 7.3.1.4 Matlab/Simulink model of main fed five-phase induction motor drive 7.3.2 Five-phase Two-level Voltage source Inverter Model 7.3.2.A Ten-Step Mode of Operation 7.3.2.A.1 Fourier analysis of the five-phase inverter output voltages 7.3.2.A.2 Matlab/Simulink Modelling for Ten-step Mode 7.3.2.A.3 Prototype of a five-phase VSI for ten-step operation 7.3.2.A.4 Experimental Results for Ten-Step mode 7.3.2.A.5 PWM mode of operation of five-phase VSI 7.3.3 PWM Schemes of a Five-phase VSI 7.3.3.1 Carrier-based Sinusoidal PWM scheme 7.3.3.2 Matlab/Simulink simulation of Carrier-based sinusoidal PWM 7.3.3.3 5th Harmonic Injection Based pulse width modulation scheme 7.3.3.4 Matlab/Simulink simulation of 5th harmonic injection PWM 7.3.3.5 Offset addition based pulse width modulation scheme 7.3.3.6 Space Vector Pulse Width Modulation Scheme 7.3.3.7 Matlab/Simulink model of SVPWM 7.4 Indirect Rotor Field Oriented Control of Five-phase induction motor 7.4.1 Matlab/Simulink Model of Field oriented control of five-phase Induction machine 7.5 Field Oriented Control of Five-phase induction motor with current control in the Synchronous reference frame 7.6 Model Predictive Control (MPC) 7.6.1 MPC Applied to a Five-phase Two-Level VSI 7.6.2 Matlab/Simulink of MPC for Five-phase VSI 7.7 Summary 7.8 Bibliography Chapter 8: Sensorless Speed Control of AC Machines 8.1 Preliminary Remarks 8.2 Sensorless Control of Induction Motor 8.2.1 Observer 1 8.2.2 Observer 2 8.2.3 Observer 3 8.2.4 MRAS- (closed loop) speed estimator 8.2.5 The use of power measurements 8.3 Sensorless Control of PMSM 8.3.1 Control system of PMSM 8.3.2 Adaptive backstepping observer 8.3.3 Model Reference Adaptive System for PMSM 8.3.4 Simulation Results 8.4 MRAS-Based Sensorless Control of Five-Phase Induction Motor Drive 8.4.1 MRAS-BASED SPEED ESTIMATOR 8.4.2 Simulation Results References Chapter 9: Selected Problems of Induction Motor Drives with Voltage Inverter and Inverter Output Filters 9.1 Drives and filters - overview 9.2 Three phase to two phase transformations 9.3 Voltage and current common mode component 9.3.1 Matlab/Simulink model of induction motor drive with PWM inverter and common mode voltage 9.4 Induction motor common mode circuit 9.5 Bearing current types and reduction methods 9.5.1 Common mode choke 9.5.2 Common mode transformers 9.5.3 Common mode voltage reduction by PWM modifications 9.6 Inverter output filters 9.6.1 Selected structures of inverter output filters 9.6.2 Inverter output filters design 9.6.3 Motor choke 9.6.4 Matlab/Simulink model of induction motor drive with PWM inverter and differential mode (normal mode) LC filter 9.7 Estimation problems in the drive with filters 9.7.1 Introduction 9.7.2 Speed observer with disturbances model 9.7.3 Simple observer based on motor stator models 9.8 Motor control problems in the drive with filters 9.8.1 Introduction 9.8.2 Field oriented control 9.8.3 Nonlinear field oriented control 9.8.4 Nonlinear multiscalar control 9.9 Predictive current control in the drive system with output filter 9.9.1 Control system 9.9.2 Predictive current controller 9.9.3 EMF estimation technique 9.10 Problems 9.11 Questions 9.12 References Index…”

Tabla de Contenidos: “…Logicals and Control Structures in Programming -- 5.1 Introduction: Controlling the Flow of Execution -- 5.2 Logical Data Type -- 5.2.1 Logical Operations -- 5.2.2 Combining Logical Operators -- 5.2.3 String Compare -- 5.3 Types of Control Structures -- 5.3.1 Conditional Statements -- if Statement -- else and elseif Statements -- switch Statement -- Comparison of if and switch Statements -- 5.3.2 Loops -- for Statement -- while Statement -- Comparison of for and while Statements -- 5.3.3 Functions -- Local Functions -- Programmer-Created Documentation -- 6. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- Part 1: Soft Computing and Evolutionary-Based Optimization -- Chapter 1 Improved Grey Wolf Optimizer with Levy Flight to Solve Dynamic Economic Dispatch Problem with Electric Vehicle Profiles -- 1.1 Introduction -- 1.2 Problem Formulation -- 1.2.1 Power Output Limits -- 1.2.2 Power Balance Limits -- 1.2.3 Ramp Rate Limits -- 1.2.4 Electric Vehicles -- 1.3 Proposed Algorithm -- 1.3.1 Overview of Grey Wolf Optimizer -- 1.3.2 Improved Grey Wolf Optimizer with Levy Flight -- 1.3.3 Modeling of Prey Position with Levy Flight Distribution -- 1.4 Simulation and Results -- 1.4.1 Performance of Improved GWOLF on Benchmark Functions -- 1.4.2 Performance of Improved GWOLF for Solving DED for the Different Charging Probability Distribution -- 1.5 Conclusion -- References -- Chapter 2 Comparison of YOLO and Faster R-CNN on Garbage Detection -- 2.1 Introduction -- 2.2 Garbage Detection -- 2.2.1 Transfer Learning-Technique -- 2.2.2 Inception-Custom Model -- 2.3 Experimental Results -- 2.3.1 Results Obtained Using YOLO Algorithm -- 2.3.2 Results Obtained Using Faster R-CNN -- 2.4 Future Scope -- 2.5 Conclusion -- References -- Chapter 3 Smart Power Factor Correction and Energy Monitoring System -- 3.1 Introduction -- 3.2 Block Diagram -- 3.2.1 Power Factor Concept -- 3.2.2 Power Factor Calculation -- 3.3 Simulation -- 3.4 Conclusion -- References -- Chapter 4 ANN-Based Maximum Power Point Tracking Control Configured Boost Converter for Electric Vehicle Applications -- 4.1 Introduction -- 4.2 Block Diagram -- 4.3 ANN-Based MPPT for Boost Converter -- 4.4 Closed Loop Control -- 4.5 Simulation Results -- 4.6 Conclusion -- References -- Chapter 5 Single/Multijunction Solar Cell Model Incorporating Maximum Power Point Tracking Scheme Based on Fuzzy Logic Algorithm -- 5.1 Introduction…”

Tabla de Contenidos: “…Java and WebSphere application design -- 9.1 Java general design -- 9.1.1 String manipulation -- 9.1.2 Object instantiation -- 9.1.3 Loops -- 9.1.4 Exceptions -- 9.1.5 Method resolution -- 9.1.6 Logging -- 9.1.7 Variables -- 9.1.8 Collections -- 9.1.9 Java Native Interface -- 9.1.10 Thread creation -- 9.2 Accessing system services: Database operations -- 9.2.1 IBM Toolbox for Java driver versus iSeries Developer Kit for Java driver -- 9.2.2 JDBC through a native driver -- 9.2.3 Which one to use? …”

Tabla de Contenidos: “…Identifying Important Feedback Loops -- 2.4.2.2. Building Algorithms -- 2.4.3. Making Choices at the Equation Level -- 2.4.3.1. …”

Tabla de Contenidos: “…3.1 The State Perspective -- 3.2 The Perspective of the Protection Seeker -- 3.2.1 Access to Territory -- 3.2.2 Access to FulI-fledged Procedures -- 3.2.3 Access to Protection -- 3.3 Two Loops -- 4 EUROPEAN INTEGRATION AND EXTRATERRITORIAL PROTECTION -- 4.1. …”

Tabla de Contenidos: “…-- 2.3.2 Naming Conventions -- 2.3.3 Examples and Exercises -- 2.4 Using Loops in R - the "for" Function -- 2.5 Integral Calculus in R -- 2.5.1 The "Integrate" Function -- 2.5.2 Numerical Integration -- 2.6 Recommended Reading -- 3 Financial Mathematics (1): Interest Rates and Valuing Cashflows -- 3.1 Introduction -- 3.2 The Force of Interest…”

Tabla de Contenidos: “…Local Basis Functions -- 4.1.4 Experimental Model Validation -- 4.1.4.1 Quantifying Modeling Performance -- 4.1.5 Mutually Orthogonal Basis Functions -- 4.1.6 Multi-Antenna Environments and Mutual Coupling -- 4.2 Oscillator Phase Noise -- 4.2.1 Phase-Noise Power Spectrum and Leeson's Equation -- 4.2.2 Phase-Noise Modeling: Free-Running Oscillator -- 4.2.3 Phase-Noise Modeling: Phase-Locked Loop -- 4.3 Data Converters -- 4.3.1 Modeling of Quantization Noise -- 4.4 Statistical Modeling -- 4.4.1 The Bussgang Theorem and the System Model -- 4.5 Stochastic Modeling of Power Ampli ers -- 4.6 Oscillator Phase Noise -- 4.7 Stochastic Modeling of Data Converters -- 4.8 Model Concatenation and Simulations -- 4.8.1 Signal-to-Interference and Noise Ratio -- 4.8.2 Simulations -- 4.8.3 Simulation Results -- References -- 5 Multicarrier Waveforms -- 5.1 Multicarrier Waveforms -- 5.1.1 The Principle of Orthogonality -- 5.1.2 OFDM-Based Waveforms…”

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“…Head First Programming introduces the core concepts of writing computer programs -- variables, decisions, loops, functions, and objects -- which apply regardless of the programming language. …”

“…Create macros to automate repetitive tasksAutomatically format charts, shapes, and textManipulate tables and other objects-even build PivotTable reportsWrite your own functions and proceduresUse loops and conditions to add decision logic to macrosBuild custom command buttons, dialo…”

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“…After an introductory overview of essential SDR concepts, this book examines waveform creation, analog signal processing, digital signal processing, data conversion, phase-locked loops, SDR algorithms, and SDR hardware design. The various trade-offs at each of these design stages are discussed in detail.…”

“…In Detail The course introduces basic use cases of Ansible followed by an introduction to Ansible Inventory, Playbooks, Modules, Variables, Conditionals, Loops, and Roles. Each lecture is accompanied by a set of coding exercises giving the user a hands-on experience in developing Ansible Playbooks…”

“…You'll learn about methods, variables, arrays, loops, conditional statements, and..…”

“…We will delve into variables, conditionals, loops, tags, handlers, and error handling, gaining proficiency in efficient task execution. …”

“…If you’ve ever stumbled through constructing for loops and while loops, this video will add to your programming toolbox and allow you to leave such heavy lifting to the stream API. …”