Tabla de Contenidos: “…Gładysiewicz Comprehensive, experimental verification of the effects of the lock-up function implementation in LHD haul trucks in the deep underground mine T. …”

Tabla de Contenidos: “…8.4 Magnetic Gravity Compensation in Fluids -- 8.5 Magnetic Gravity Compensation in Biology -- Acknowledgments -- References -- Chapter_9 Electric Fields -- 9.1 Convection Analog in Microgravity -- 9.1.1 Conditions of DEP Force Domination -- 9.1.2 Equations Governing DEP-Driven TEHD Convection -- 9.2 Electric Gravity in the Conductive State for SimpleCapacitors -- 9.2.1 Linear Stability Equations and Kinetic Energy Equation -- 9.3 Results from Stability Analysis -- 9.3.1 Plane Capacitor -- 9.3.2 Cylindrical Capacitor -- 9.3.3 Spherical Shell -- 9.4 Conclusion -- Acknowledgment -- References -- Chapter_10 The Plateau Method -- 10.1 Introduction -- 10.2 Principle -- 10.3 Temperature Constraint -- 10.4 Other Constraints -- 10.5 Concluding Remarks -- References -- Chapter_11 Centrifuges -- 11.1 Introduction -- 11.2 Artifacts -- 11.2.1 Coriolis -- 11.2.2 Inertial Shear Force -- 11.2.3 Gravity Gradient -- 11.3 The Reduced Gravity Paradigm (RGP -- References -- 3 - Facilities to Mimic Micro-GravityEffects -- Chapter_12 Animals: Unloading, Casting -- 12.1 Introduction -- 12.2 Hindlimb Unloading Methodology -- 12.3 Recommendations for Conducting HindlimbUnloading Study -- 12.4 Casting, Bandaging, and Denervation -- 12.5 Conclusions -- References -- Chapter_13 Human: Bed Rest/Head-Down-Tilt/Hypokinesia -- References -- 13.1 Introduction -- 13.2 Experimental Models to MimicWeightlessness -- 13.2.1 Bed Rest or Head-Down Bed Rest? …”

Tabla de Contenidos: “…Structure et systèmes du Canada -- Compétence, mandat et coordination -- L'organisation et la gestion de la coopération canadienne pour le développement ont beaucoup changé -- L'administration s'appuie clairement sur une stratégie pangouvernementale, notamment pour faire face aux crises -- L'harmonisation et la création d'une culture homogène se révèlent difficiles -- Systèmes -- Une simplification plus poussée réduirait le temps consacré à la gestion des projets -- Les processus d'assurance qualité sont très complets, mais les questions transversales ne sont pas systématiquement prises en compte -- La transparence de l'aide s'améliore -- Les pratiques de gestion des risques sont en passe d'être simplifiées et harmonisées -- L'innovation et l'expérimentation sont des priorités pour le Canada -- Capacités à l'échelle du système -- Un directeur du développement se fait l'apôtre du développement au sein du Ministère -- Les effectifs du personnel de l'aide internationale n'ont pas changé -- Le statut du personnel chargé du développement dans le Ministère est source de préoccupation -- La décentralisation progresse lentement -- Notes -- Références -- Chapitre 5. …”

Tabla de Contenidos: “…La transformation numérique de l'agriculture -- L'expérimentation en matière d'action publique soutient l'innovation numérique dans certains secteurs -- Notes -- Références -- Chapitre 5 Offrir à tous des emplois de qualité -- Offrir à tous des emplois de qualité : Principaux enjeux de l'action publique -- La transformation numérique crée de nombreux emplois nouveaux, mais menace aussi bon nombre d'emplois existants -- Graphique 5.1. …”

Tabla de Contenidos: “…Sept décennies de pensée et de pratique du développement dans les pays développés -- Industrialisation, croissance et modernisation (années 1940-1950) -- Premières années d'optimisme, d'expérimentation et d'approches multilatérales -- L'école industrialiste cherche à transformer les économies agraires -- La croyance dans les avantages du commerce l'emporte sur l'école industrialiste -- DE l'OECE à l'OCDE -- Transformation structurelle (années 1960) -- Une indépendance accrue des économies en développement (années 1970) -- Les critiques proposent des mesures protectionnistes pour lutter contre les termes défavorables de l'échange -- Les penseurs traditionnels du développement se concentrent sur la pauvreté et les besoins fondamentaux -- La crise fait naître des demandes de rééquilibrage des termes de l'échange -- Les crises budgétaires et le surendettement conduisent aux premières tentatives d'ajustement structurel -- Stabilité macroéconomique : le Consensus de Washington (années 1980-2000) -- Les besoins fondamentaux sont écartés dans les années 1980 -- La chute du mur de Berlin a renforcé le Consensus de Washington -- Le développement retrouve petit à petit un visage humain -- Le développement par objectifs (années 2000) -- Le progrès humain, la durabilité environnementale et la sécurité gagnent en importance -- Les OMD introduisent une pensée plus globale -- L'analyse rétrospective normative (ou backcasting) aide à élaborer des plans permettant d'atteindre les objectifs à long terme -- La crise économique de 2007-08 met fin à l'optimisme -- Les ODD proposent une approche plus globale du développement pour tous -- L'expérience régionale comme catalyseur des stratégies alternatives de développement -- La pensée du développement en Amérique latine…”

Tabla de Contenidos: “…Result Evaluation -- 6.3.4. Experimental Results -- 6.3.5. Subject-Dependent Experiments on PS+SP -- 6.3.5.1. …”

Tabla de Contenidos: “…11.3 DC-Link Capacitors Voltage Balancing in Diode-Clamped Converter 334 -- 11.4 Control Algorithms for AC / DC / AC Converters 345 -- 11.5 AC / DC / AC Converter with Active Power FeedForward 356 -- 11.6 Summary and Conclusions 361 -- References 362 -- 12 Power Electronics for More Electric Aircraft 365 -- 12.1 Introduction 365 -- 12.2 More Electric Aircraft 367 -- 12.3 More Electric Engine (MEE) 372 -- 12.4 Electric Power Generation Strategies 374 -- 12.5 Power Electronics and Power Conversion 378 -- 12.6 Power Distribution 381 -- 12.7 Conclusions 384 -- References 385 -- 13 Electric and Plug-In Hybrid Electric Vehicles 387 -- 13.1 Introduction 387 -- 13.2 Electric, Hybrid Electric and Plug-In Hybrid Electric Vehicle Topologies 388 -- 13.3 EV and PHEV Charging Infrastructures 392 -- 13.4 Power Electronics for EV and PHEV Charging Infrastructure 404 -- 13.5 Vehicle-to-Grid (V2G) and Vehicle-to-Home (V2H) Concepts 407 -- 13.6 Power Electronics for PEV Charging 410 -- References 419 -- 14 Multilevel Converter/Inverter Topologies and Applications 422 -- 14.1 Introduction 422 -- 14.2 Fundamentals of Multilevel Converters/Inverters 423 -- 14.3 Cascaded Multilevel Inverters and Their Applications 432 -- 14.4 Emerging Applications and Discussions 444 -- 14.5 Summary 459 -- Acknowledgment 461 -- References 461 -- 15 Multiphase Matrix Converter Topologies and Control 463 -- 15.1 Introduction 463 -- 15.2 Three-Phase Input with Five-Phase Output Matrix Converter 464 -- 15.3 Simulation and Experimental Results 484 -- 15.4 Matrix Converter with Five-Phase Input and Three-Phase Output 488 -- 15.5 Sample Results 499 -- Acknowledgment 501 -- References 501 -- 16 Boost Preregulators for Power Factor Correction in Single-Phase Rectifiers 503 -- 16.1 Introduction 503 -- 16.2 Basic Boost PFC 504 -- 16.3 Half-Bridge Asymmetric Boost PFC 511 -- 16.4 Interleaved Dual-Boost PFC 519 -- 16.5 Conclusion 528 -- References 529 -- 17 Active Power Filter 534 -- 17.1 Introduction 534 -- 17.2 Harmonics 535.…”

Tabla de Contenidos: “…-- 5.5.2.3 A Parallel Development Path: Assessing Intangible Asset Stocks -- 5.6 Conclusion -- Acknowledgment -- References -- Chapter 6 Measuring the US Digital Economy -- 6.1 Introduction -- 6.2 Experimental Digital Economy Measures -- 6.2.1 Methodology -- 6.2.1.1 Defining the Digital Economy -- 6.2.1.2 Calculating Results -- 6.2.2 Domestic Trends -- 6.2.2.1 Value Added -- 6.2.2.2 Gross Output -- 6.2.2.3 Prices -- 6.2.3 International Collaboration and Alignment -- 6.2.3.1 The Organization for Economic Co‐operation and Development Working Party on National Accounts…”

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: “…8.5 Conclusion -- 8.5.1 Summary -- 8.5.2 Recommendations for Practice -- References -- Chapter 9 A Total Survey Error Perspective on Surveys in Multinational, Multiregional, and Multicultural Contexts -- 9.1 Introduction -- 9.2 TSE in Multinational, Multiregional, and Multicultural Surveys -- 9.3 Challenges Related to Representation and Measurement Error Components in Comparative Surveys -- 9.3.1 Representation Error -- 9.3.1.1 Coverage Error -- 9.3.1.2 Sampling Error -- 9.3.1.3 Unit Nonresponse Error -- 9.3.1.4 Adjustment Error -- 9.3.2 Measurement Error -- 9.3.2.1 Validity -- 9.3.2.2 Measurement Error - The Response Process -- 9.3.2.3 Processing Error -- 9.4 QA and QC in 3MC Surveys -- 9.4.1 The Importance of a Solid Infrastructure -- 9.4.2 Examples of QA and QC Approaches Practiced by Some 3MC Surveys -- 9.4.3 QA/QC Recommendations -- References -- Chapter 10 Smartphone Participation in Web Surveys: Choosing Between the Potential for Coverage, Nonresponse, and Measurement Error -- 10.1 Introduction -- 10.1.1 Focus on Smartphones -- 10.1.2 Smartphone Participation: Web-Survey Design Decision Tree -- 10.1.3 Chapter Outline -- 10.2 Prevalence of Smartphone Participation in Web Surveys -- 10.3 Smartphone Participation Choices -- 10.3.1 Disallowing Smartphone Participation -- 10.3.2 Discouraging Smartphone Participation -- 10.4 Instrument Design Choices -- 10.4.1 Doing Nothing -- 10.4.2 Optimizing for Smartphones -- 10.5 Device and Design Treatment Choices -- 10.5.1 PC/Legacy versus Smartphone Designs -- 10.5.2 PC/Legacy versus PC/New -- 10.5.3 Smartphone/Legacy versus Smartphone/New -- 10.5.4 Device and Design Treatment Options -- 10.6 Conclusion -- 10.7 Future Challenges and Research Needs -- Appendix 10.A: Data Sources -- A.1 Market Strategies (17 studies) -- A.2 Experimental Data from Market Strategies International…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Dedication Page -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- Acronyms -- Part I: Artificial Intelligence Applications -- Chapter 1 Artificial Intelligence Overview: Architecture, Applications and Challenges -- 1.1 Introduction -- 1.1.1 History of Artificial Intelligence -- 1.1.2 Components of Artificial Intelligence -- 1.1.3 Levels of Artificial Intelligence -- 1.2 Artificial Intelligence Agents -- 1.3 Artificial Intelligence Algorithms -- 1.4 Applications of Artificial Intelligence -- 1.4.1 Agriculture -- 1.4.2 Healthcare -- 1.4.3 Education -- 1.4.4 Banking -- 1.4.5 Opportunities and Challenges -- 1.5 Conclusion -- References -- Chapter 2 Video Analytics Using Deep Learning Models -- 2.1 Introduction -- 2.1.1 Artificial Intelligence -- 2.1.2 Deep Learning Overview and Evolution -- 2.1.3 Edge Computing -- 2.1.4 Cloud Computing -- 2.2 Video Analytics -- 2.2.1 Video Surveillance -- 2.2.2 Real-Time Video Mining and Video Monitoring -- 2.2.3 Video Analytics Functional Model -- 2.3 Object Detection and Object Tracking -- 2.3.1 Object Detection -- 2.3.2 Object Tracking -- 2.3.3 Role of Deep Learning in Object Tracking -- 2.3.4 Functional Model -- 2.4 Industrial Application -- 2.4.1 Healthcare -- 2.4.2 Smart City -- 2.4.3 Connected Home -- 2.4.4 Security -- 2.4.5 Sports -- 2.5 Conclusion -- References -- Chapter 3 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems -- 3.1 Introduction -- 3.1.1 Existing System -- 3.1.2 Problem Definition -- 3.1.3 Feasibility Study -- 3.1.4 Experimental Work -- 3.2 Literature Review -- 3.3 Requirement Specification -- 3.3.1 Search Engine Optimization -- 3.3.2 Web Analytics -- 3.3.3 Web Architecture Diagram -- 3.4 Testing and Validation -- 3.4.1 SEO Testing…”

Tabla de Contenidos: “…4.4.3 How Emagnet Works -- 4.4.4 Installation and Platform Requirements -- 4.4.5 Emagnet Usage Options -- 4.4.6 Key Features and Benefits -- 4.4.7 Our Review -- 4.4.8 Pastebin -- 4.4.9 Pastebin's Dark Side -- 4.4.10 The Need for Vigilance -- 4.4.11 Leveraging Authentic8 Flash Report -- 4.4.12 The Role of Silo for Research -- 4.4.13 Our Implementation Case Study -- 4.4.14 Our Review -- 4.5 Countermeasures and Best Practices -- 4.5.1 Strategies for Individuals and Organizations -- 4.5.2 Strengthening Password Security and Promoting 2FA -- 4.5.3 Responsible Vulnerability Disclosure -- 4.6 Recommendations and Future Directions -- 4.6.1 Developing Effective Policies -- 4.6.2 Enhancing Collaboration Between Stakeholders -- 4.6.3 Raising Awareness Among Users -- 4.6.4 Predicting Future Trends and Challenges -- 4.7 Conclusion -- References -- Chapter 5 Mitigating the Threat of Multi-Factor Authentication (MFA) Bypass Through Man-in-the-Middle Attacks Using EvilGinx2 -- 5.1 Introduction -- 5.1.1 Background and Significance of MFA in Enhancing Account Security -- 5.1.2 Overview of the Research Topic and the Use of EvilGinx2 for MFA Bypass -- 5.1.3 Research Objectives and Research Questions -- 5.2 Literature Review -- 5.2.1 Overview of MFA and its Effectiveness in Preventing Unauthorized Access -- 5.2.2 Previous Research on MFA Vulnerabilities and Bypass Techniques -- 5.2.3 Case Studies -- 5.3 Methodology -- 5.3.1 Description of Experimental Setup and Environment -- 5.3.2 Demonstration of EvilGinx2's Functionality and Operation -- 5.4 Results and Discussion -- 5.4.1 Evaluation of EvilGinx2's Ability to Bypass MFA Protections -- 5.4.2 Analysis of Captured Authentication Data, Including Usernames, Passwords, and Cookies -- 5.4.3 Discussion of the Effectiveness of the MFA Bypass Technique…”

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: “…7.3.3 Methodology Flow Chart -- 7.3.4 Data Pre-Processing -- 7.3.5 Models Deployed -- 7.3.6 Training and Testing -- 7.4 Analysis -- 7.4.1 Datasets -- 7.4.2 Feature Extraction -- 7.4.3 Splitting of Data into Samples -- 7.4.4 Algorithms Used -- 7.4.4.1 Multinomial Logistic Regression -- 7.4.4.2 K-Nearest Neighbors -- 7.4.4.3 Decision Tree -- 7.4.4.4 Support Vector Machine (SVM) -- 7.4.4.5 Random Forest -- 7.5 Results and Discussion -- 7.5.1 Importance of Classification Reports -- 7.5.2 Importance of Confusion Matrices -- 7.5.3 Decision Tree -- 7.5.4 Random Forest -- 7.5.5 K-Nearest Neighbors -- 7.5.6 Logistic Regression -- 7.5.7 Support Vector Machine -- 7.5.8 Comparison of the Algorithms -- 7.5.8.1 Accuracies -- 7.5.8.2 Precision and Recall -- 7.6 Conclusions -- 7.7 Scope of Future Work -- References -- Chapter 8 Smart Vision-Based Sensing and Monitoring of Power Plants for a Clean Environment -- 8.1 Introduction -- 8.1.1 Color Image Processing -- 8.1.2 Motivation -- 8.1.3 Objectives -- 8.2 Literature Review -- 8.2.1 Gas Turbine Power Plants -- 8.2.2 Artificial Intelligent Methods -- 8.3 Materials and Methods -- 8.3.1 Feature Extraction -- 8.3.2 Classification -- 8.4 Results and Discussion -- 8.4.1 Fisher's Linear Discriminant Function (FLDA) and Curvelet -- 8.5 Conclusion -- 8.5.1 Future Scope of Work -- References -- Chapter 9 Implementation of FEM and Machine Learning Algorithms in the Design and Manufacturing of Laminated Composite Plate -- Abbreviations -- 9.1 Introduction -- 9.2 Numerical Experimentation Program -- 9.3 Discussion of the Results -- 9.4 Conclusion -- Acknowledgements -- References -- Part II: Integration of Digital Technologies to Operations -- Chapter 10 Edge Computing-Based Conditional Monitoring -- 10.1 Introduction -- 10.1.1 Problem Statement -- 10.2 Literature Review -- 10.3 Edge Computing -- 10.4 Methodology…”

Tabla de Contenidos: “…6.8.3.1 Blockchain Can Store Information Coming from IoT Devices -- 6.8.3.2 Secure Data Storage with Blockchain Distribution -- 6.8.3.3 Data Encryption via Hash Key and Tested by the Miners -- 6.8.3.4 Spoofing Attacks and Data Loss Prevention -- 6.8.3.5 Unauthorized Access Prevention Using Blockchain -- 6.8.3.6 Exclusion of Centralized Cloud Servers -- 6.9 Conclusions -- References -- Chapter 7 Deep Learning Approach to Industrial Energy Sector and Energy Forecasting with Prophet -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Methodology -- 7.3.1 Splitting of Data (Test/Train) -- 7.3.2 Prophet Model -- 7.3.3 Data Cleaning -- 7.3.4 Model Implementation -- 7.4 Results -- 7.4.1 Comparing Forecast to Actuals -- 7.4.2 Adding Holidays -- 7.4.3 Comparing Forecast to Actuals with the Cleaned Data -- 7.5 Conclusion and Future Scope -- References -- Chapter 8 Application of Novel AI Mechanism for Minimizing Private Data Release in Cyber-Physical Systems -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Proposed Mechanism -- 8.4 Experimental Results -- 8.5 Future Directions -- 8.6 Conclusion -- References -- Chapter 9 Environmental and Industrial Applications Using Internet of Things (IoT) -- 9.1 Introduction -- 9.2 IoT-Based Environmental Applications -- 9.3 Smart Environmental Monitoring -- 9.3.1 Air Quality Assessment -- 9.3.2 Water Quality Assessment -- 9.3.3 Soil Quality Assessment -- 9.3.4 Environmental Health-Related to COVID-19 Monitoring -- 9.4 Applications of Sensors Network in Agro-Industrial System -- 9.5 Applications of IoT in Industry -- 9.5.1 Application of IoT in the Autonomous Field -- 9.5.2 Applications of IoT in Software Industries -- 9.5.3 Sensors in Industry -- 9.6 Challenges of IoT Applications in Environmental and Industrial Applications -- 9.7 Conclusions and Recommendations -- Acknowledgments -- References…”

Tabla de Contenidos: “…3.4 Leaving Group in SN2 Reaction -- 3.5 Interm olecular versus Intram olecular Reactions -- 3.5.1 Baldwin's Rules -- 3.6 Mechanism of SN1 Reaction -- 3.7 Leaving Group in SN1 Reaction -- 3.8 Nucleophile in SN1 Reaction -- 3.9 Carbocation Rearrangements -- 3.10 Stereochemistry of SN2 and SN1 Reactions -- 3.11 Role of Solvent in SN2 and SN1 Reactions -- 3.12 Solvation Effect -- 3.13 Effect of Solvent on Rate of Reaction -- 3.13.1 Effect of solvent on Rate of SN1 Reaction -- 3.13.2 Effect of Solvent on Rate of SN2 Reaction -- 3.14 Benzylic, Allylic, Vinylic and Aryl Halides -- 3.15 Competition between SN2 and SN1 Reactions -- 3.16 Mixed SN1 and SN2 Mechanism -- 3.17 Neighbouring Group Participation -- 3.18 Summary -- Problems -- Objective Type Questions -- Chapter 4: Elimination Reactions -- 4.1 Introduction -- 4.1.1 Substitution and Elimination -- 4.2 a-Elimination -- 4.2.1 Elimination When Nucleophile Attacks Hydrogen -- 4.2.2 Nucleophile Effects on Elimination and Substitution -- 4.3 E1 and E2 Mechanism s -- 4.4 Orientation of Double Bond -- 4.5 Role of Leaving Group -- 4.5.1 Stereoselective E1 Reactions -- 4.5.2 Regioselective E1 Reactions -- 4.5.3 Anti-periplanar Transition States of E2 Eliminations -- 4.5.4 Stereospecific E2 Eliminations -- 4.6 E2 Eliminations from Cyclohexanes -- 4.7 Regioselectivity of E2 Elim inations -- 4.8 E2 Elimination from Vinyl Halides: How to Make Alkynes -- 4.9 Anion-stabilizing Groups Allow E1cB -- 4.10 E1cB Rate Equation -- 4.11 E1cB Eliminations in Context -- 4.12 E1-E2 -E1cB Spectrum -- 4.13 Pyrolytic or Thermal Eliminations -- 4.14 Summary -- Problems -- Objective Type Questions -- Chapter 5: Addition Reactions -- 5.1 Introduction -- 5.2 Electrophilic Addition of HX and H2 to Alkenes -- 5.2.1 Experimental evidence -- 5.2.2 Product Analysis -- 5.3 M echanism of Electrophilic Addition -- 5 .3.1 Halonium Ions…”

Tabla de Contenidos: “…The Concept and Function of Burden-sharing -- 8.1.1 The Objective of Burden-sharing -- 8.1.2 The Scope of Burden-sharing -- 8.1.2.1 Sharing Norms -- 8.1.2.2 Sharing Money -- 8.1.2.3 Sharing People -- 8.1.3 Assessing Burden-sharing Schemes -- 8.2 Burden-sharing and International Law -- 8.3 Burden-sharing and the EU acquis -- 8.3.1 Negotiations Preceding the 1995 Resolution -- 8.3.2 Comparison of the German Draft and the 1995 Resolution -- 8.3.3 The Impact of the Treaty of Amsterdam -- 8.3.4 The Solidarity Drafts: Merging Admission and Burden-sharing? -- 8.3.5 The Experimental Instruments of 1997 to 1999 -- 8.3.6 The Proposal on a European Refugee Fund -- 8.4 Concentrating the Burden -- 8.4.1 Concentration Effects of the Dublin Convention…”

Tabla de Contenidos: “…11.3.2.3 Application of 2D Nanomaterials in Photodynamic Therapy -- 11.3.3 2D Nanomaterials‐Cancer Detection/Diagnosis/Theragnostic -- 11.4 Tissue Engineering -- 11.5 Conclusion -- Acknowledgment -- References -- Chapter 12 Synthesis of Nanostructured Materials Via Green and Sol-Gel Methods: A Review -- 12.1 Introduction -- 12.2 Methods Used in Nanostructured Synthesis -- 12.2.1 Green Method of Nanoparticles Synthesis -- 12.2.2 Sol-Gel Method of Nanoparticles Synthesis -- 12.2.3 Green Method of Nanocomposites Synthesis -- 12.2.4 Sol-Gel Method of Nanocomposites -- 12.3 Discussion -- 12.4 Conclusion -- References -- Chapter 13 Study of Antimicrobial Activity of ZnO Nanoparticles Using Leaves Extract of Ficus auriculata Based on Green Chemistry Principles -- 13.1 Introduction -- 13.2 Materials and Methods -- 13.2.1 Chemicals -- 13.2.2 Methodology -- 13.2.3 Antimicrobial Activity -- 13.3 Results and Discussion -- 13.3.1 Characterization of Synthesized Zinc‐Oxide Nanoparticles (ZnONPs) -- 13.3.1.1 XRD Analysis -- 13.3.1.2 FT‐IR Analysis -- 13.3.1.3 SEM Analysis -- 13.3.1.4 TEM Analysis -- 13.3.2 Antibacterial Activity -- 13.4 Conclusion -- Acknowledgments -- References -- Chapter 14 Piezoelectric Properties of Na1−xKxNbO3 near x &amp -- equals -- 0.475, Morphotropic Phase Region -- 14.1 Introduction -- 14.2 Experimental Procedure -- 14.3 Results and Discussion -- References -- Chapter 15 Synthesis and Characterization of SDC Nano‐Powder for IT‐SOFC Applications -- 15.1 Introduction -- 15.1.1 Solid Oxide Fuel Cells (SOFCs) -- 15.1.2 Intermediate Temperature Solid Oxide Fuel Cells (IT‐SOFCs) -- 15.1.3 Why Samarium‐Doped Ceria (SDC) Material? …”

Tabla de Contenidos: “…8.4.3 Setting of the Temperature Sensor -- 8.4.4 Accuracy -- References -- 9 SoC Estimation of a Battery -- 9.1 Different Understandings of the SoC Definition -- 9.1.1 Difference on the Understanding of SoC -- 9.1.2 Difference and Relation Between SoC and SoP as Well as SoE -- 9.2 Classical Estimation Methods -- 9.2.1 Coulomb Counting Method -- 9.2.2 Open Circuit Voltage Method -- 9.2.3 A Compromised Method -- 9.2.4 Estimation Methods Not Applicable for the Lithium-Ion Battery -- 9.3 Difficulty in an SoC Estimation -- 9.3.1 Difficulty in an Estimation Resulting from Inaccurate Battery State Monitoring -- 9.3.2 Difficulty in an Estimation Resulting from Battery Difference -- 9.3.3 Difficulty in an Estimation Resulting from an Uncertain Future Working Condition -- 9.3.4 Difficulty in an Estimation Resulting from an Uncertain Battery Usage History -- 9.4 Actual Problems to Be Considered During an SoC Estimation -- 9.4.1 Safety of the Electric Vehicle -- 9.4.2 Feasibility -- 9.4.3 Actual Requirements of Drivers -- 9.5 Estimation Method Based on the Battery Model and the Extended Kalman Filter -- 9.5.1 Common Complicated Estimation Method -- 9.5.2 Advantages of a Kalman Filter in an SoC Estimation -- 9.5.3 Combination of an EKF and a Lithium-Ion Battery Model -- 9.5.4 Implementation Rule of the EKF Algorithm -- 9.5.5 Experimental Verification -- 9.6 Error Spectrum of the SoC Estimation Based on the EKF -- 9.6.1 Estimation Error Caused by the Inaccurate Battery Model -- 9.6.2 Estimation Error Resulting from a Measurement Error of the Sensor -- 9.6.3 Factors Affecting SoC Estimation Accuracy -- References -- 10 Charge Control -- 10.1 Introduction -- 10.2 Charging Power Categories -- 10.3 Charge Control Methods -- 10.3.1 Semi-constant Current -- 10.3.2 Constant Current (CC) -- 10.3.3 Constant Voltage (CV) -- 10.3.4 Constant Power (CP)…”

Tabla de Contenidos: “…5.2 Mixing Considerations and Factors -- 5.2.1 Mixing Time -- 5.2.2 Mixing Intensity -- 5.2.3 Mixing Distribution -- 5.3 Mixing Effects on Nucleation -- 5.3.1 Primary Nucleation -- 5.3.2 Secondary Nucleation and Particle Breakage -- 5.3.3 Damkoehler Number for Nucleation -- 5.3.4 Scale-Up of Nucleation-Based Processes -- 5.4 Mixing Effects on Crystal Growth -- 5.4.1 Mass Transfer Rate -- 5.4.2 Da Number for Crystallization -- 5.4.3 Conflicting Mixing Effects -- 5.4.4 Experimentation on Mixing Effects -- 5.4.5 Effects of Mixing on PSD -- 5.5 Mixing Distribution and Scale-Up -- 5.5.1 Power -- 5.5.2 Off-Bottom Suspension -- 5.6 Crystallization Equipment -- 5.6.1 Stirred Vessels -- 5.6.2 Fluidized Bed Crystallizer -- 5.6.3 Impinging Jet Crystallizer -- 5.7 Process Design and Examples -- EXAMPLE 5.1 -- EXAMPLE 5.2 -- Chapter 6 Critical Issues and Quality by Design -- 6.1 Quality By Design -- 6.2 Basic Properties -- 6.2.1 Solubility and Crystal Forms -- 6.2.2 Particle Size and Morphology -- 6.3 Seed -- 6.3.1 Determination of Seed Form, Size, and Quantity -- 6.3.2 Effectiveness of Seeding -- 6.4 Supersaturation -- 6.4.1 Generation of Supersaturation -- 6.4.2 Oiling Out, Agglomeration/Aggregation -- 6.4.3 Nucleation -- 6.4.4 Crystal Growth -- 6.5 Mixing and Scale-Selection of Equipment and Operating Procedures -- 6.5.1 Stirred Vessels -- 6.5.2 In-line Mixers -- 6.5.3 Fluidized Bed -- 6.6 Strategic Considerations for Crystallization Process Development -- 6.7 Summary of Critical Issues -- Chapter 7 Cooling Crystallization -- 7.1 Batch Operation -- 7.1.1 Rate of Cooling -- 7.1.2 Metastable Region -- 7.1.3 Seeding Versus Spontaneous Nucleation -- 7.1.4 Mixing and Mass Transfer -- 7.1.5 Solvent -- 7.1.6 Impurities (Dissolved and Undissolved) -- 7.2 Continuous Operations -- 7.2.1 The Attraction of Continuous Processing…”