Tabla de Contenidos: “…-- 1.10.1 Latest generation -- 1.10.2 Multiplatform and open source -- 1.10.3 Rapid development -- 1.10.4 Well supported -- 1.10.5 Access to NuGet libraries -- 1.10.6 Fully featured O/RM -- 1.10.7 Stable library -- 1.10.8 Always high-performance -- 1.11 When should you not use EF Core? …”

Tabla de Contenidos: “…Intro -- Titlepage -- Copyright -- contents in brief -- contents -- preface -- acknowledgments -- about this book -- Source code -- Book forum -- about the author -- about the cover illustration -- Part 1: Getting started with React Native -- Chapter 1: Getting started with React Native -- 1.1 Introducing React and React Native -- 1.1.1 A basic React class -- 1.1.2 React lifecycle -- 1.2 What you'll learn -- 1.3 What you should know -- 1.4 Understanding how React Native works -- 1.4.1 JSX -- 1.4.2 Threading -- 1.4.3 React -- 1.4.4 Unidirectional data flow -- 1.4.5 Diffing -- 1.4.6 Thinking in components -- 1.5 Acknowledging React Native's strengths -- 1.5.1 Developer availability -- 1.5.2 Developer productivity -- 1.5.3 Performance -- 1.5.4 One-way data flow -- 1.5.5 Developer experience -- 1.5.6 Transpilation -- 1.5.7 Productivity and efficiency -- 1.5.8 Community -- 1.5.9 Open source -- Immediate updates -- Other solutions for building cross-platform mobile applications -- 1.6 React Native's drawbacks -- 1.7 Creating and using basic components -- 1.7.1 An overview of components -- 1.7.2 Native components -- 1.7.3 Component composition -- 1.7.4 Exportable components -- 1.7.5 Combining components -- 1.8 Creating a starter project -- 1.8.1 Create React Native App CLI -- 1.8.2 React Native CLI -- Summary -- Chapter 2: Understanding React -- 2.1 Managing component data using state -- 2.1.1 Correctly manipulating component state -- 2.2 Managing component data using props -- 2.3 React component specifications -- 2.3.1 Using the render method to create a UI -- 2.3.2 Using property initializers and constructors -- 2.4 React lifecycle methods -- 2.4.1 The static getDerivedStateFromProps method -- 2.4.2 The componentDidMount lifecycle method -- 2.4.3 The shouldComponentUpdate lifecycle method -- 2.4.4 The componentDidUpdate lifecycle method…”

Tabla de Contenidos:

Tabla de Contenidos: “…3.5 REVERSE OSMOSIS MEMBRANES -- 3.5.1 The significance of desalination -- 3.6 PERFORMANCE MONITORING -- 3.7 NORMALIZATION -- 3.7.1 Why normalization matters -- 3.7.2 Equations -- 3.7.2.1 Normalized permeate flow -- 3.7.2.2 Normalized salt rejection -- 3.7.2.3 Normalized pressure drop -- 3.8 FOULING -- 3.8.1 Biofouling -- 3.8.2 Organic fouling -- 3.8.3 Particulate fouling -- 3.8.4 Scaling -- 3.8.5 Integrity failure -- 3.9 REFERENCES -- Chapter 4: Forward Osmosis -- 4.1 INTRODUCTION: PRINCIPLES OF FORWARD OSMOSIS -- 4.2 MATERIALS AND EXPERIMENTAL SET-UP -- 4.2.1 Membrane configurations -- 4.2.2 Experimental modes -- 4.2.3 Draw solutions: properties, regeneration, types and selection criteria -- 4.3 EXPERIMENTAL METHODS -- 4.3.1. …”

Tabla de Contenidos: “…9.3 Artificial Intelligence: Transport System and Healthcare -- 9.4 Artificial Intelligence Algorithms -- 9.5 AI Workflow -- 9.6 AI for ITS and e-Healthcare Tasks -- 9.7 Intelligent Transportation, Healthcare, and IoT -- 9.8 AI Techniques Used in ITS and e-Healthcare -- 9.9 Challenges of AI and ML in ITS and e-Healthcare -- 9.10 Conclusions -- References -- Chapter 10 Classification of Dementia Using Statistical First-Order and Second-Order Features -- 10.1 Introduction -- 10.2 Materials and Methods -- 10.2.1 Dataset -- 10.2.2 Image Pre-Processing -- 10.3 Proposed Framework -- 10.3.1 Discrete Wavelet Transform -- 10.3.1.1 Statistical Features -- 10.3.2 Classification -- 10.3.2.1 K-Nearest Neighbor -- 10.3.2.2 Linear Discriminant Analysis -- 10.3.2.3 Support Vector Machine -- 10.3.3 Performance Measure -- 10.4 Experimental Results and Discussion -- 10.5 Conclusion -- References -- Chapter 11 Pulmonary Embolism Detection Using Machine and Deep Learning Techniques -- 11.1 Introduction -- 11.2 The State-of-the-Art of PE Detection Models -- 11.3 Literature Survey -- 11.4 Publications Analysis -- 11.5 Conclusion -- References -- Chapter 12 Computer Vision Techniques for Smart Healthcare Infrastructure -- 12.1 Introduction -- 12.2 Literature Survey -- 12.2.1 Computer Vision -- 12.2.1.1 Computer Vision Techniques for Safety and Driver Assistance -- 12.2.1.2 Types of Optical Character Recognition Systems -- 12.2.1.3 Phases of Optical Character Recognition -- 12.2.1.4 Threshold Segmentation -- 12.2.1.5 Edge Detection Operator -- 12.2.1.6 Use Cases of OCR -- 12.2.1.7 List of Research Papers -- 12.2.2 How is IoT Changing the Face of Information Science? …”

Tabla de Contenidos: “…2.6 Classification on the Basis of Audit Dimension -- 2.6.1 Management Audit -- 2.6.2 Cost Audit -- 2.6.3 Tax Audit -- 2.6.4 Human Resource Audit -- 2.6.5 System Audit -- 2.6.6 Propriety Audit -- 2.6.7 Performance or Efficiency Audit -- 2.6.8 Environmental Audit -- 2.6.9 Social Audit -- 2.6.10 Cash Transaction Audit -- 2.6.11 Energy Audit -- 2.6.12 Secretarial Audit -- Points to Ponder -- Review Questions -- Chapter 3: Techniques and Procedures of Auditing -- 3.1 Introduction -- 3.2 Preparatory Steps before Commencement of Audit -- 3.3 Preparation by the Auditor -- 3.3.1 Audit Planning -- 3.3.2 Audit Programme -- 3.3.3 Audit Notebook -- 3.3.4 Audit Working Papers -- 3.3.5 Audit Files -- 3.3.6 Audit Manual -- 3.3.7 Audit Memorandum -- 3.4 Principles and Techniques of Auditing -- 3.4.1 Important Audit Techniques -- 3.5 Procedures Followed in Course of Audit -- 3.5.1 Audit Evidence -- 3.5.2 Routine Checking -- 3.5.3 Test Checking -- 3.5.4 Auditing in Depth -- 3.5.5 Cut-off Examination -- 3.5.6 Statistical Sampling -- 3.5.7 Surprise Checking -- 3.5.8 Audit Flow Chart -- 3.5.9 Internal Control Questionnaires -- 3.5.10 Audit Tests -- Points to Ponder -- Review Questions -- Chapter 4: Internal Control, Internal Check and Internal Audit -- 4.1 Introduction -- 4.2 Internal Control -- 4.2.1 Definition -- 4.2.2 Basic Elements of Internal Control -- 4.2.3 Objectives of Internal Control -- 4.2.4 Types of Internal Control -- 4.2.5 Evaluation of Internal Control -- 4.2.6 Internal Control and the Auditor -- 4.2.7 Internal Control in Specific Areas of Business -- 4.2.8 Internal Control Questionnaire -- 4.3 Internal Check -- 4.3.1 Definition -- 4.3.2 General Considerations in Framing a System of Internal Check -- 4.3.3 Objectives of Internal Check -- 4.3.4 Shortcomings of Internal Check System -- 4.3.5 Safeguard Against the Shortcomings of Internal Check…”

“…The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. …”

Tabla de Contenidos: “…11.6.2 AI, behavioral science, and mechanism design for GDPR and cross-border data flow -- 11.7 Global treaty on cross-border data free flow -- 11.8 Conclusion -- AI disclosure -- References -- 12 - Synthetic data -- 12.1 Introduction -- 12.2 Synthetic data -- 12.3 Generative adversarial networks -- 12.4 Cost saving -- 12.5 Time saving -- 12.6 Privacy protection -- 12.7 Improved model performance -- 12.8 Data quality -- 12.9 Model explainability -- 12.10 Legal and ethics -- 12.11 Governance of synthetic data -- 12.12 Behavioral science and mechanism design in synthetic data -- 12.13 Conclusion -- AI disclosure -- References -- 13 - Computer chips -- 13.1 Introduction -- 13.2 Digital computing -- 13.3 Transistor -- 13.4 Integrated circuit -- 13.5 Moore's law -- 13.6 From CPU to GPU -- 13.7 NVIDIA chips -- 13.8 Quantum computing -- 13.9 AI, mechanism design, and behavioral science in computer chips -- 13.10 Computer chips and international relations -- 13.11 Conclusion -- AI disclosure -- References -- Further reading -- 14 - Space -- 14.1 Introduction -- 14.2 Communication -- 14.3 Earth observation -- 14.4 Navigation -- 14.5 Military -- 14.6 Space technology and AI -- 14.7 Starlink -- 14.8 Mechanism design and behavioral science -- 14.9 Space and international relations -- 14.10 Space governance -- 14.11 Conclusion -- AI disclosure -- References -- III - Sustainability -- 15 - Climate change -- 15.1 Introduction -- 15.2 What is climate change? …”

Tabla de Contenidos: “…4.3.7 K-Means Method -- 4.3.8 Watershed Method -- 4.3.9 Comparison of Different Segmentation Techniques Based on the Advantages and Disadvantages -- 4.3.10 Comparison of Different Segmentation Techniques Based on Accuracy -- 4.3.11 Comparison of Region Based and Threshold Based Segmentation Techniques Based on Different Parameters -- 4.4 Machine Learning -- 4.4.1 Supervised Learning -- 4.4.2 Unsupervised Learning -- 4.4.3 Reinforcement Learning -- 4.4.4 K-Nearest Neighbour (KNN) -- 4.4.5 Support Vector Machine (SVM) -- 4.4.6 Random Forest -- 4.5 Deep Learning (DL) -- 4.5.1 Convolutional Neural Networks (CNN) -- 4.5.1.1 Convolution Layer -- 4.5.1.2 Pooling Layer -- 4.5.1.3 Architecture of CNN -- 4.5.1.4 Comparison of Different Variations of CNN Techniques -- 4.5.2 Long Short-Term Memory (LSTM) -- 4.5.3 Artificial Neural Network (ANN) -- 4.5.4 Accuracy of Different Models Discussed Above -- 4.5.5 Accuracy of Other Different Techniques Being Used -- 4.6 Performance Metrics -- 4.6.1 Accuracy -- 4.6.2 Precision -- 4.6.3 Recall -- 4.6.4 Specificity -- 4.6.5 F1-Measure -- 4.7 Method Wise Trend of Using Techniques for Detection of Brain Tumor -- 4.8 Conclusion -- References -- Chapter 5 Advancements in Tumor Detection and Classification -- 5.1 Introduction -- 5.2 Imaging Techniques Used in Tumor Detection and Classification -- 5.2.1 X-Ray -- 5.2.2 CT Scan -- 5.2.3 MRI -- 5.2.4 Ultrasound -- 5.3 Molecular Biology Techniques -- 5.3.1 PCR -- 5.3.2 FISH -- 5.3.3 Next-Generation Sequencing -- 5.3.4 Western Blotting -- 5.4 Machine Learning and Artificial Intelligence -- 5.5 Tumor Classification -- 5.5.1 TNM Staging System -- 5.5.2 Histological Grading -- 5.5.3 Molecular Subtyping -- 5.6 Challenges and Future Directions -- References -- Chapter 6 Classification of Brain Tumor Using Machine Learning Techniques: A Comparative Study -- 6.1 Introduction…”

Tabla de Contenidos: “…Moderation effect of Gender on Knowledge Acquisition to Employee Satisfaction -- Moderation effect of Gender on Knowledge Sharing to Employee Satisfaction -- Moderation effect of Gender on Knowledge Creation to Employee Satisfaction -- Moderation effect of Gender on Knowledge Storage to Employee Satisfaction -- Moderation effect of Gender on Knowledge Retention to Employee Satisfaction -- Discussion -- Conclusion -- Implications -- Managerial Implications -- Research Implications -- Future Research Implications -- References -- 9 Strengthening Employer Branding with Corporate : Social Responsibility -- Introduction -- Employer Branding -- Meaning and Definition -- Internal Employer Branding -- External Employer Branding -- Employer Branding and Employee Gratification -- Importance of EB -- Strategic Activities of EB -- Employer Value Propositions (EPV) -- Linking with Campus -- Motivational Factors -- Creative Marketing Team -- Feedback and Research -- Statistics -- Corporate Social Responsibility -- Meaning and Definition -- Company Act 2013 -- CSR Pillars -- Corporate Social Responsibilities toward Various Stakeholders -- Corporate Social Responsibility and Branding -- Employer Branding and Corporate Social Responsibility -- Concept -- Relationship between EB and CSR -- Significance of EB and CSR -- Increase Organizational Social Behavior and Strengthen the Employer-Employee Relation -- Boost Employee Identity with the Organization -- Enhance Employee Retention and Organizational Assurance -- Develop Employee Engagement and Performance -- More Appealing Company Culture to Prospective Employees -- Facts and Figures -- Signaling Theory -- Social Identity Theory -- Conclusion -- Notes -- References -- 10 Enhancing Employee Happiness: Branding as an Employer of Choice -- Introduction -- Theoretical Background and Literature Review…”

Tabla de Contenidos: “…Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271.…”

Tabla de Contenidos: “…-- Consult the Business First -- The Procurement Balanced Scorecard -- Sustainability -- Supply chain risk and resilience -- Customer service levels and accessing innovation -- Sustainability -- Social sustainability -- Environmental sustainability -- Financial sustainability -- Get the Right Sustainability Key Performance Indicators -- Embarking on Your Sustainability Program -- Chapter 9: SAVINGS REALIZATION: Stemming the Leaks -- What Is a Saving? …”

Tabla de Contenidos: “…Gain on DC Zone Assets -- Gain on Reinvestments in Opportunity Zones -- Foreign Taxes on Investments -- Exercise of Incentive Stock Options -- Losses from Investment Ponzi Schemes -- Deferral of Income in Commercial Annuities -- Chapter 9 Travel -- Business Travel -- Temporary Work Assignments -- Conventions -- Medical Travel -- Charitable Travel -- Education‐Related Travel -- National Guard and Military Reservist Travel -- Frequent Flier Miles -- Recordkeeping for Travel Expenses -- Chapter 10 Real Estate -- Vacation Home -- Home Office -- Timeshares -- Rentals -- Low‐Income Housing Credit -- Rehabilitation Credit -- Like‐Kind Exchanges -- Deduction for Energy‐Efficient Commercial Buildings -- Qualified Improvement Property -- Conservation Easements -- Chapter 11 Borrowing and Interest -- Home Mortgage Interest -- Student Loan Interest -- Borrowing from Retirement Plans -- Investment‐Related Interest -- Business Interest -- Accrued Interest on Bond Purchases -- Below‐Market Loans -- Bad Debts -- Debt Forgiveness -- Chapter 12 Insurance and Catastrophes -- Casualty, Theft, and Disaster Losses -- Economic Impact Payments -- Disaster Relief Payments -- Damages -- Disability Coverage -- Accelerated Death Benefits -- Legal Fees -- Identity Theft Losses -- Tax Identity Theft and Relief -- Chapter 13 Your Job -- Educator Expenses -- Prizes and Awards -- Performing Artists -- State or Local Government Officials Paid on a Fee Basis -- Repayment of Supplemental Unemployment Benefits -- Jury Duty Pay Turned Over to Your Employer -- Impairment‐Related Expenses -- Military Benefits -- Contributions to State Benefit Programs -- Dependent Care Assistance -- Fringe Benefits -- Income Earned Abroad -- Chapter 14 Your Business -- Start‐Up Costs -- Qualified Business Income Deduction -- Equipment Purchases -- Payment for Services -- Supplies -- Gifts…”

Tabla de Contenidos: “…Du gouvernement à la gouvernance -- Réduire la fracture public-privé -- Citoyenneté « performative » -- 7. Les pays, la Planète et l'action des pouvoirs publics -- Fracture et exclusion sociales -- L'enjeu pour les pays -- Capital social et capital économique -- Démocratisation des institutions mondiales -- 8. …”

Tabla de Contenidos: “…7.1 Introduction 160 -- 7.2 Structure of Grid-Imposed Frequency VSC System 160 -- 7.3 Real-/Reactive-Power Controller 161 -- 7.4 Real-/Reactive-Power Controller Based on Three-Level NPC 181 -- 7.5 Controlled DC-Voltage Power Port 189 -- 8 Grid-Imposed Frequency VSC System: Control in dq-Frame 204 -- 8.1 Introduction 204 -- 8.2 Structure of Grid-Imposed Frequency VSC System 205 -- 8.3 Real-/Reactive-Power Controller 206 -- 8.4 Current-Mode Control of Real-/Reactive-Power Controller 217 -- 8.5 Real-/Reactive-Power Controller Based on Three-Level NPC 232 -- 8.6 Controlled DC-Voltage Power Port 234 -- 9 Controlled-Frequency VSC System 245 -- 9.1 Introduction 245 -- 9.2 Structure of Controlled-Frequency VSC System 246 -- 9.3 Model of Controlled-Frequency VSC System 247 -- 9.4 Voltage Control 253 -- 10 Variable-Frequency VSC System 270 -- 10.1 Introduction 270 -- 10.2 Structure of Variable-Frequency VSC System 270 -- 10.3 Control of Variable-Frequency VSC System 273 -- PART II APPLICATIONS 311 -- 11 Static Compensator (STATCOM) 313 -- 11.1 Introduction 313 -- 11.2 Controlled DC-Voltage Power Port 313 -- 11.3 STATCOM Structure 314 -- 11.4 Dynamic Model for PCC Voltage Control 315 -- 11.5 Approximate Model of PCC Voltage Dynamics 321 -- 11.6 STATCOM Control 322 -- 11.7 Compensator Design for PCC Voltage Controller 324 -- 11.8 Model Evaluation 324 -- 12 Back-to-Back HVDC Conversion System 334 -- 12.1 Introduction 334 -- 12.2 HVDC System Structure 334 -- 12.3 HVDC System Model 336 -- 12.4 HVDC System Control 342 -- 12.5 HVDC System Performance Under an Asymmetrical Fault 353 -- 13 Variable-SpeedWind-Power System 385 -- 13.1 Introduction 385 -- 13.2 Constant-Speed and Variable-Speed Wind-Power Systems 385 -- 13.3 Wind Turbine Characteristics 388 -- 13.4 Maximum Power Extraction from A Variable-Speed Wind-Power System 390 -- 13.5 Variable-Speed Wind-Power System Based on Doubly-Fed Asynchronous Machine 393 -- APPENDIXA: Space-Phasor Representation of Symmetrical Three-Phase Electric Machines 413.…”

Tabla de Contenidos: “…-- Creating an RPC server -- Creating an RPC client -- JSON RPC using Gorilla RPC -- Summary -- Chapter 4: Simplifying RESTful Services with Popular Go Frameworks -- Getting the code -- go-restful, a framework for REST API creation -- CRUD operations and SQLite3 basics -- Building a Metro Rail API with go-restful -- Design specification -- Creating database models -- Building RESTful APIs with the Gin framework -- Building a RESTful API with Revel.go -- Summary -- Chapter 5: Working with MongoDB and Go to Create REST APIs -- Getting the code -- Introduction to MongoDB -- Installing MongoDB and using the shell -- Working with the Mongo shell -- Introducing mgo, a MongoDB driver for Go -- RESTful API with Gorilla Mux and MongoDB -- Boosting the querying performance with indexing -- Designing an e-commerce data document model -- Summary -- Chapter 6: Working with Protocol Buffers and GRPC -- Getting the code -- Introduction to protocol buffers -- Protocol buffer language -- Scalar values -- Enumerations and repeated fields -- Compiling a protocol buffer with protoc -- Introduction to GRPC -- Bidirectional streaming with GRPC -- Summary -- Chapter 7: Working with PostgreSQL, JSON, and Go -- Getting the code -- Installing the PostgreSQL database -- Adding users and databases in PostgreSQL -- pq, a pure PostgreSQL database driver for Go -- Implementing a URL shortening service using Postgres and pq -- Defining the Base62 algorithm -- Exploring the JSON store in PostgreSQL -- GORM, a powerful ORM for Go -- Implementing the e-commerce REST API -- Summary…”

Tabla de Contenidos: “…-- Section IV: Data and Automation -- 13: Designing Your Ultimate Marketing Stack -- How to Build a Solid Martech Stack -- Bottoms Up -- CRM -- Marketing Automation -- Tag Management -- Analytics and Tracking: You Need to Track Your Performance, Ads, Technology, and Everything Else -- Invest in Keeping Your Stack Open -- Data Management Platform (DMP) -- Content Delivery Network (CDN) -- Conversion Optimization -- Campaign Management -- E-mail Marketing -- Mobile Optimization -- Advertising Networks -- Remarketing -- Search Engine Marketing -- Search Engine Advertising -- Monitoring the Martech Stack -- Martech That Drives Business Growth -- Agile Is Your Savior -- Marketing Technology Frameworks and the Emf -- Always-On Assessment, Evaluation, and Adoption -- No Single Platform Winner Aka "Marketing Operating System -- Build, Buy, or Rent? …”

Tabla de Contenidos: “…. -- 7.4 DEFECT STRUCTURE AND DUCTILITY OF NANOMATERIALS -- 7.5 INFLUENCE OF SINTERING CONDITIONS ON STRENGTH AND DUCTILITY OF CONSOLIDATED NANOMATERIALS -- 7.6 MECHANICAL BEHAVIOR OF MATERIALS SINTERED FROM BLENDS OF POWDERS WITH DIFFERENT PARTICLE SIZES -- 7.7 DEFECT STRUCTURE AND MECHANICAL PERFORMANCE OF NANOMATERIALS AT HIGH STRAIN RATES -- REFERENCES -- 8 - Defect Structure and Properties of Metal Matrix-Carbon Nanotube Composites -- 8.1 PROCESSING OF METAL MATRIX-CARBON NANOTUBE COMPOSITES -- 8.2 MORPHOLOGY OF CARBON NANOTUBES AND POROSITY IN NANOTUBE COMPOSITES -- 8.3 DEFECT STRUCTURE IN METAL-NANOTUBE COMPOSITES…”

Tabla de Contenidos: “…-- Architecture -- Writing your first JPA application -- Step 1: Creating a data source -- Step 2: Creating a persistence unit -- Step 3: Creating an entity class -- Step 4: Creating a data access object -- Entities -- Entity mapping -- Primary keys -- Table mapping -- Column mapping -- Date and time mapping -- Ignoring properties -- Composite primary keys -- Embedded objects -- Performing CRUD operations -- Managed versus detached entities -- Inserting a new record -- Retrieving an existing record -- Updating an existing record -- Deleting a record -- Detaching an entity -- Mapping entity relationships -- Many-to-one relationships -- Many-to-many relationships…”

Tabla de Contenidos: “…-- Summary -- Chapter 3: Casting Votes on Twitter -- Setting up the environment -- Creating a Twitter application -- Adding the configuration file -- Performing authentication -- Creating the Flask application -- Creating the application routes -- Building the Twitter voting application -- Enhancing our code -- Summary -- Chapter 4: Exchange Rates and the Currency Conversion Tool -- Setting up the environment -- Creating the API wrapper -- Adding the database helper class -- Creating the command line parser -- Creating the currency enumeration -- Creating the command line parser -- Basic validation -- Adding the application's entry point…”