Tabla de Contenidos:

Tabla de Contenidos: “…Impact de la réforme de la réglementation par branche d'activité -- Améliorer la politique de la concurrence -- Tableau 4.8. Contrôle de l'application de la loi par la KFTC -- Intensifier la concurrence internationale -- Graphique 4.3. …”

Tabla de Contenidos: “…. -- L'utilisation des subventions à l'exportation diminue -- Mais l'aide alimentaire et les crédits à l'exportation sont de plus en plus utilisés -- Le contrôle des exportations pose la question de la fiabilité des marchés internationaux et alimente... -- ... …”

Tabla de Contenidos: “…Progrès accomplis en matière de réformes structurelles -- Renforcer le cadre de la politique budgétaire -- Promouvoir l'efficience des dépenses dans le cadre du système de contrôle et de gestion budgétaires -- Réformer le système de retraite -- Améliorer l'efficience des dépenses de santé -- Rendre la structure de la fiscalité plus favorable à la croissance et à l'emploi -- Parvenir à l'efficacité du système énergétique -- Améliorer l'environnement des entreprises -- Favoriser l'innovation et l'adoption de nouvelles technologies -- Réformer l'enseignement -- Chapitres thématiques -- Chapitre1. …”

Tabla de Contenidos: “…. -- 2.3.3 factors, levels, etc. -- 2.3.4 Control Programming -- 2.3.5 Other Useful Functions -- 2.3.6 Calculus* -- 2.4 Vectors and Matrices in R -- 2.4.1 Vectors -- 2.4.2 Matrices -- 2.5 Data Entering and Reading from Files -- 2.5.1 Data Entering -- 2.5.2 Reading Data from External Files -- 2.6 Working with Packages -- 2.7 R Session Management -- 2.8 Further Reading -- 2.9 Complements, Problems, and Programs -- Chapter 3 Data Preparation and Other Tricks -- 3.1 Introduction -- 3.2 Manipulation with Complex Format Files -- 3.3 Reading Datasets of Foreign Formats -- 3.4 Displaying R Objects -- 3.5 Manipulation Using R Functions -- 3.6 Working with Time and Date -- 3.7 Text Manipulations -- 3.8 Scripts and Text Editors for R -- 3.8.1 Text Editors for Linuxians -- 3.9 Further Reading -- 3.10 Complements, Problems, and Programs -- Chapter 4 Exploratory Data Analysis…”

Tabla de Contenidos: “…3.5.2 Addiction challenge -- 3.5.3 Privacy and security challenge -- 3.5.4 Ethics and morality challenge -- 3.6 Conclusion -- References -- 4 Web-based brain tumor classification app using convolutional neural network -- 4.1 Introduction -- 4.2 Methodology -- 4.2.1 Data collection -- 4.2.2 Data augmentation -- 4.2.3 Splitting -- 4.2.4 Training settings -- 4.2.4.1 CNN network architecture -- 4.2.5 Performance -- 4.2.6 Hardware and software requirements -- 4.3 Results -- 4.3.1 Confusion matrix -- 4.3.2 Performance metric of model -- 4.4 Conclusion -- Acknowledgments -- References -- 5 Traffic management system using different Internet of Things devices: literature review -- 5.1 Introduction -- 5.1.1 Selecting a template -- 5.1.2 Types of implementation methods -- 5.1.2.1 Radio frequency identification -- 5.1.2.1.1 RFID controller -- 5.1.2.1.2 RFID tag -- 5.1.2.1.3 Applications for RFID sensor -- 5.1.2.2 Analysis of video data -- 5.1.2.2.1 Problems with video analysis include -- 5.1.2.3 Wireless sensor network -- 5.1.2.4 The IR sensor -- 5.1.2.4.1 Sensor types -- 5.2 Method of evaluation -- 5.2.1 IoT device communication and addressing -- 5.2.2 IoT device security (physical and virtual) -- 5.3 Results and discussion -- 5.4 Conclusion -- References -- 6 Wireless sensor networks DV-Hop positioning based on artificial intelligence in the IoT era -- 6.1 Introduction -- 6.2 Related work -- 6.3 Methodology -- 6.4 Results -- 6.5 Conclusion -- References -- 7 Cassava leave disease image classification based on deep convolutional neural network -- 7.1 Introduction -- 7.1.1 Objective of the research -- 7.1.2 Problem of the research -- 7.2 Work related -- 7.3 Methodology -- 7.3.1 Collection of data -- 7.3.2 Preprocessing and cleaning -- 7.3.2.1Data split ratio and augmentation -- 7.4 Results -- 7.4.1 Matrix of confusion and comparative analysis -- 7.5 Conclusion…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction to Smart Farming: Definition, Importance and Trends -- 1.1 Introduction -- 1.2 Smart Farming -- 1.3 Internet of Things -- 1.3.1 Fundamentals of IoT Applications in Smart Farming -- 1.4 Technologies Used in Smart Farming -- 1.4.1 Global Positioning System (GPS) -- 1.4.2 Sensor Technologies -- 1.4.3 Variable-Rate of Technology (VRT) and Grid Soil Sampling -- 1.4.4 Geographic Information System (GIS) -- 1.4.5 Crop Management -- 1.4.6 Soil and Plant Sensors -- 1.4.7 Rate Controllers -- 1.4.8 Precision Irrigation in Pressurized Systems -- 1.4.9 Yield Monitor -- 1.4.10 Software -- 1.5 Importance of Smart Farming -- 1.5.1 Soil Mapping and Plant Monitoring -- 1.5.2 Irrigation -- 1.5.3 Site-Specific Nutrient Management -- 1.5.4 Crop Pest and Disease Management -- 1.5.5 Yield Monitoring and Forecasting -- 1.5.6 Enhanced Production Rates -- 1.5.7 Water Conservation -- 1.5.8 Real-Time Data and Insights -- 1.5.9 Reduction in Operation Costs -- 1.5.10 High-Quality Production -- 1.5.11 Accurate Farm and Yield Evaluation -- 1.5.12 Improved Livestock Production -- 1.5.13 Reduced Environmental Footprint Impact -- 1.5.14 Remote Monitoring for Easy Management -- 1.5.15 Expensive Asset Monitoring -- 1.6 Role of IoT in Advanced Farming Practices -- 1.6.1 Greenhouse Farming and Protected Cultivation -- 1.6.2 Hydroponics -- 1.6.3 Vertical Farming -- 1.6.4 Phenotyping -- 1.7 Trends of Smart Farming -- 1.7.1 Precision Agriculture -- 1.7.2 Automation -- 1.7.3 Internet of Things (IoT) -- 1.7.4 Big Data Analytics -- 1.7.5 Vertical Farming -- 1.7.6 Aquaponics -- References -- Chapter 2 Overview of Robotics in Agriculture: Types and Applications -- 2.1 Introduction -- 2.2 Background -- 2.2.1 Historical Perspective of Agriculture and Technology…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Elevating Surveillance Integrity-Mathematical Insights into Background Subtraction in Image Processing -- 1.1 Introduction -- 1.2 Background Subtraction -- 1.3 Mathematics Behind Background Subtraction -- 1.4 Gaussian Mixture Model -- 1.4.1 Gaussian Mixture Model (GMM) Algorithm for Background Subtraction -- 1.4.2 Gaussian Mixture Model (GMM) Algorithm - A Simple Example -- 1.5 Principal Component Analysis -- 1.6 Applications -- 1.6.1 Military Surveillance -- 1.6.2 Visual Observation of Animals in Forests -- 1.6.3 Marine Surveillance -- 1.6.4 Defense Surveillance Systems -- 1.7 Conclusion -- References -- Chapter 2 Machine Learning and Artificial Intelligence in the Detection of Moving Objects Using Image Processing -- 2.1 Introduction -- 2.2 Moving Object Detection -- 2.3 Envisaging the Object Detection -- 2.3.1 Filtering Algorithm -- 2.3.2 Identification of Object Detection in Bad Weather Circumstance -- 2.3.3 Color Clustering -- 2.3.4 Dangerous Animal Detection -- 2.3.5 UAV Video End-of-Line Detection and Tracking in Live Traffic -- 2.3.5.1 Contextual Detection -- 2.3.5.2 Calculation of Location of a Car -- 2.3.6 Estimation of Crowd -- 2.3.7 Parking Lot Management -- 2.3.8 Public Automatic Anomaly Detection Systems -- 2.3.9 Modification of Robust Principal Component Analysis -- 2.3.10 Logistics Automation -- 2.3.11 Detection of Criminal Behavior in Humans -- 2.3.12 UAV Collision Avoidance and Control System -- 2.3.13 An Overview of Potato Growth Stages -- 2.4 Conclusion -- References -- Chapter 3 Machine Learning and Imaging-Based Vehicle Classification for Traffic Monitoring Systems -- 3.1 Introduction -- 3.2 Methods -- 3.2.1 Data Preparation -- 3.2.2 Model Training -- 3.2.3 Hardware and Software Configuration -- 3.3 Result -- 3.4 Conclusion…”

Tabla de Contenidos: “….) -- FIGURA N° 40. UBICACIÓN DE POZOS CONTROL DISTRIBUIDOS EN EL CAMPO EN (...) -- FIGURA N° 41. …”

Tabla de Contenidos: “…WebSphere Portal and single signon -- 5.1 Web application authentication concepts -- 5.1.1 Forms of authentication -- 5.1.2 User registry and user repository -- 5.1.3 Passing credentials in an authenticated session -- 5.1.4 Single signon and LTPA -- 5.2 Portal authentication via WebSphere Application Server security -- 5.2.1 WebSphere Portal Form-based authentication -- 5.2.2 Flow of control for a request in a session not yet authenticated -- 5.2.3 Request in a session that is already authenticated -- 5.2.4 Verifying the LTPA token during Portal login -- 5.2.5 WebSphere Portal and single signon -- 5.3 Enabling SSO for WebSphere Portal and Web applications -- 5.3.1 Configuring LDAP server -- 5.3.2 Enabling WebSphere Portal security with LDAP…”

Tabla de Contenidos: “…Refining the browser interface -- 7.1 Why enhance the WebFacing user interface -- 7.2 Techniques to extend the generated Web application -- 7.2.1 Ways to control the appearance of command key buttons -- 7.3 Selecting and customizing the WebFacing style -- 7.3.1 Choosing a WebFacing style when creating a new WebFacing project -- 7.3.2 Creating your own style -- 7.3.3 Modifying the chrome area -- 7.3.4 Managing the WebFacing styles -- 7.4 Modifying the appearance of the application area -- 7.5 WebFacing properties -- 7.5.1 Conversion time properties -- 7.5.2 Run-time properties -- 7.5.3 Style properties -- 7.6 Modifying static Web pages -- 7.6.1 Changing the layout of the launch page (index.html) -- 7.6.2 Customizing the signon window -- 7.7 Changing record JSPs with Page Designer -- 7.7.1 Where record JSPs are located -- 7.8 Customizing the Web user interface through Web Settings…”

Tabla de Contenidos: “…6.3.2 Buttons in the navigation frame -- 6.3.3 Monitoring settings -- 6.3.4 Authorization and permission -- 6.3.5 Lock on DBA Cockpit -- 6.4 Monitoring -- 6.4.1 Database monitoring -- 6.4.2 Schema monitoring -- 6.4.3 Buffer pool monitoring -- 6.4.4 Table space monitoring -- 6.4.5 Table monitoring -- 6.4.6 Application monitoring -- 6.4.7 SQL cache analysis -- 6.4.8 Lock waits and deadlock analysis -- 6.4.9 Inplace table reorganization monitoring -- 6.5 Space management -- 6.5.1 Table spaces -- 6.5.2 Containers -- 6.5.3 Tables and indexes -- 6.5.4 Single table analysis -- 6.5.5 History -- 6.6 Backup management -- 6.6.1 Backup Overview -- 6.7 Log file management -- 6.8 Configuration -- 6.8.1 Database Manager -- 6.8.2 Database -- 6.8.3 Parameter Changes -- 6.8.4 Database partitioning group -- 6.8.5 Buffer Pools -- 6.8.6 Special RUNSTATS settings and volatile tables -- 6.8.7 CLP Command Execution -- 6.8.8 File Systems -- 6.8.9 Data Classes -- 6.8.10 Monitoring Tool Settings -- 6.9 Scheduling DBA tasks -- 6.9.1 DBA Planning Calendar -- 6.9.2 DBA Log -- 6.9.3 CLP Script Maintenance -- 6.10 Using the alert monitor -- 6.10.1 Alert Configuration -- 6.10.2 Alert Message Log -- 6.11 Diagnostics -- 6.11.1 Missing Tables and Indexes -- 6.11.2 Help -- 6.11.3 Control Panel -- 6.11.4 Single System Check -- 6.11.5 Explain -- 6.11.6 Cumulative SQL Trace -- 6.11.7 DBSL Trace Directory -- 6.11.8 Trace Status -- 6.11.9 Database Notification Log -- 6.11.10 Database Diag Log -- 6.11.11 Dump directory -- 6.12 Partition Integration wizard -- Chapter 7. …”

Tabla de Contenidos: “…Using external SCSI storage enclosure with Linux -- Configuring ServeRAID controllers for clustering -- Appendix C. Configuring a FAStT200 disk system for Linux -- Configuring SANbox2 to use static IP address -- Configuring the FAStT200 disk enclosure to use a static IP-address -- Installing the Fiber Host Adapter FC2/133 -- Updating the host adapter BIOS -- Install the host adapter drivers -- Install the FAStT_MSJ -- Appendix D. …”

Tabla de Contenidos: “…-- 1.3.1 Enabling continuous delivery -- 1.3.2 High level of maintainability -- 1.3.3 Robust and scalable -- 1.4 Costs and downsides of microservices -- 1.5 Greenfield vs. brownfield -- 1.6 Code reuse -- 1.7 Serving a user request: An example of how microservices work in concert -- 1.7.1 Main handling of the user request -- 1.7.2 Side effects of the user request -- 1.7.3 The complete picture -- 1.8 A .NET microservices technology stack -- 1.8.1 ASP.NET and MVC -- 1.8.2 Kubernetes -- 1.8.3 Setting up a development environment -- 1.9 A simple microservices example -- 1.9.1 Creating an empty ASP.NET application -- 1.9.2 Adding ASP.NET MVC to the project -- 1.9.3 Adding an MVC controller with an implementation of the endpoint -- Summary -- 2 A basic shopping cart microservice -- 2.1 Overview of the Shopping Cart microservice -- 2.1.1 Components of the Shopping Cart microservice -- 2.2 Implementing the Shopping Cart microservice -- 2.2.1 Creating an empty project -- 2.2.2 The Shopping Cart microservice's API for other services -- 2.2.3 Fetching product information -- 2.2.4 Parsing the product response -- 2.2.5 Adding a failure-handling policy -- 2.2.6 Implementing a basic event feed -- 2.3 Running the code -- Summary -- 3 Deploying a microservice to Kubernetes -- 3.1 Choosing a production environment -- 3.2 Putting the Shopping Cart microservice in a container…”

Tabla de Contenidos: “…11.5 Use of Waste Materials for the Development of Carbon Allotropes -- 11.5.1 Synthesis of CNTs Using Waste Materials -- 11.5.2 Synthesis of Graphene Using Waste Materials -- 11.6 Applications for Carbon-Based Materials -- 11.6.1 CNTs -- 11.6.2 Graphene -- 11.6.3 Activated Carbon -- 11.7 Conclusions -- References -- Chapter 12 Carbon Allotropes in a Sustainable Environment -- 12.1 Introduction -- 12.2 Functionalization of Carbon Allotropes -- 12.2.1 Covalent Functionalization -- 12.2.2 Noncovalent Functionalization -- 12.3 Developments of Carbon Allotropes and Their Applications -- 12.4 Carbon Allotropes in Sustainable Environment -- 12.5 Carbon Allotropes Purification Process in the Treatment of Wastewater -- 12.5.1 Fullerenes -- 12.5.2 Bucky Paper Membrane (BP) -- 12.5.3 Carbon Nanotubes (CNTs) -- 12.5.3.1 CNT Adsorption Mechanism -- 12.5.3.2 CNTs Ozone Method -- 12.5.3.3 CNTs-Fenton-Like Systems -- 12.5.3.4 CNTs-Persulfates Systems -- 12.5.3.5 CNTs-Ferrate/Permanganate Systems -- 12.5.4 Graphene -- 12.6 Removal of Various Pollutants -- 12.6.1 Arsenic -- 12.6.2 Drugs and Pharmaceuticals -- 12.6.3 Heavy Metals -- 12.6.4 Pesticides and Other Pest Controllers -- 12.6.5 Fluoride -- 12.7 Carbon Dioxide (CO2) Adsorption -- 12.8 Conclusion and Future Perspective -- References -- Chapter 13 Carbonaceous Catalysts for Pollutant Degradation -- 13.1 Introduction -- 13.2 Strategies to Develop Carbon-Based Material -- 13.3 Advantages of Carbon-Based Metal Nanocomposites -- 13.4 Methods for the Development of Carbon-Based Nanocomposites -- 13.5 Carbon-Based Photocatalyst -- 13.5.1 Fullerene (C60) -- 13.5.2 Carbon Nanotubes -- 13.5.3 Graphene -- 13.5.4 Graphitic Carbon Nitride (g-C3N4) -- 13.5.5 Diamond -- 13.6 Applications -- 13.6.1 Dye Degradation -- 13.6.2 Organic Transformation -- 13.6.3 NOx Removal -- 13.7 Factors Affecting Degradation -- 13.7.1 Radiation…”

Tabla de Contenidos: “…4.4.7 Softmax Function -- 4.4.8 Advantages -- 4.5 Comparison of Activation Functions -- 4.6 Machine Learning -- 4.6.1 Applications of Machine Learning -- 4.7 Conclusion -- References -- Chapter 5 Intelligent Machining -- 5.1 Introduction -- 5.2 Requirements for the Developments of Intelligent Machining -- 5.3 Components of Intelligent Machining -- 5.3.1 Intelligent Sensors -- 5.3.1.1 Features of Intelligent Sensors -- 5.3.1.2 Functions of Intelligent Sensors -- 5.3.1.3 Data Acquisition and Management System to Process and Store Signals -- 5.3.2 Machine Learning and Knowledge Discovery Component -- 5.3.3 Database Knowledge Discovery -- 5.3.4 Programmable Logical Controller (PLC) -- 5.3.5 Role of Intelligent Machining for Implementation of Green Manufacturing -- 5.3.6 Information Integration via Knowledge Graphs -- 5.4 Conclusion -- References -- Chapter 6 Advanced Maintenance and Reliability -- 6.1 Introduction -- 6.2 Condition-Based Maintenance -- 6.3 Computerized Maintenance Management Systems (CMMS) -- 6.4 Preventive Maintenance (PM) -- 6.5 Predictive Maintenance (PdM) -- 6.6 Reliability Centered Maintenance (RCM) -- 6.6.1 RCM Principles -- 6.7 Condition Monitoring and Residual Life Prediction -- 6.8 Sustainability -- 6.8.1 Role of Sustainability in Manufacturing -- 6.9 Concluding Remarks -- References -- Chapter 7 Digital Manufacturing -- 7.1 Introduction -- 7.2 Product Life Cycle and Transition -- 7.3 Digital Thread -- 7.4 Digital Manufacturing Security -- 7.5 Role of Digital Manufacturing in Future Factories -- 7.6 Digital Manufacturing and CNC Machining -- 7.6.1 Introduction to CNC Machining -- 7.6.2 Equipment's Used in CNC Machining -- 7.6.3 Analyzing Digital Manufacturing Design Considerations -- 7.6.4 Finishing of Part After Machining -- 7.7 Additive Manufacturing -- 7.7.1 Objective of Additive Manufacturing -- 7.7.2 Design Consideration…”

Tabla de Contenidos: “…10.6 Improvements and Enhancements Needed for IoT Applications in the Future -- 10.7 Upcoming Future Research Challenges with Intrusion Detection Systems (IDS) -- 10.8 Conclusion -- References -- Chapter 11 Potential, Scope, and Challenges of Industry 4.0 -- 11.1 Introduction -- 11.2 Key Aspects for a Successful Production -- 11.3 Opportunities with Industry 4.0 -- 11.4 Issues in Implementation of Industry 4.0 -- 11.5 Potential Tools Utilized in Industry 4.0 -- 11.6 Conclusion -- References -- Chapter 12 Industry 4.0 and Manufacturing Techniques: Opportunities and Challenges -- 12.1 Introduction -- 12.2 Changing Market Demands -- 12.2.1 Individualization -- 12.2.2 Volatility -- 12.2.3 Efficiency in Terms of Energy Resources -- 12.3 Recent Technological Advancements -- 12.4 Industrial Revolution 4.0 -- 12.5 Challenges to Industry 4.0 -- 12.6 Conclusion -- References -- Chapter 13 The Role of Multiagent System in Industry 4.0 -- 13.1 Introduction -- 13.2 Characteristics and Goals of Industry 4.0 Conception -- 13.3 Artificial Intelligence -- 13.3.1 Knowledge-Based Systems -- 13.4 Multiagent Systems -- 13.4.1 Agent Architectures -- 13.4.2 JADE -- 13.4.3 System Requirements Definition -- 13.4.4 HMI Development -- 13.5 Developing Software of Controllers Multiagent Environment Behavior Patterns -- 13.5.1 Agent Supervision -- 13.5.2 Documents Dispatching Agents -- 13.5.3 Agent Rescheduling -- 13.5.4 Agent of Executive -- 13.5.5 Primary Roles of High-Availability Agent -- 13.6 Conclusion -- References -- Chapter 14 An Overview of Enhancing Encryption Standards for Multimedia in Explainable Artificial Intelligence Using Residue Number Systems for Security -- 14.1 Introduction -- 14.2 Reviews of Related Works -- 14.3 Materials and Methods -- 14.3.1 Multimedia -- 14.3.2 Artificial Intelligence and Explainable Artificial Intelligence -- 14.3.3 Cryptography…”

Tabla de Contenidos: “…12.10 Conclusion -- 12.11 Future Scope -- References -- Chapter 13 Systematic Literature Review and Bibliometric Analysis on Fundamental Analysis and Stock Market Prediction -- 13.1 Introduction -- 13.2 Fundamental Analysis -- 13.3 Machine Learning and Stock Price Prediction/Machine Learning Algorithms -- 13.4 Related Work -- 13.5 Research Methodology -- 13.6 Analysis and Findings -- 13.6.1 Publication Activity of Fundamental Analysis and Stock Price Prediction -- 13.6.2 Top Authors, Countries, and Institutions of Fundamental Analysis and Stock Market Prediction -- 13.6.3 Top Journals for Fundamental Analysis and Stock Market Prediction Research -- 13.6.4 Top Articles in Fundamental Analysis and Stock Market Prediction -- 13.6.5 Keyword Occurrence Analysis in Stock Price Prediction Research -- 13.6.6 Thematic Clusters of Stock Market Prediction Through Bibliographic Coupling -- 13.6.7 List of Machine Learning Algorithms Used -- 13.6.8 List of Training and Testing Dataset Criteria Used -- 13.6.9 List of Evaluation Metrics Used -- 13.6.10 List of Factors Used in Fundamental Analysis -- 13.6.11 List of Technical Indicators Used -- 13.6.12 List of Feature Selection Criteria -- 13.7 Discussion and Conclusion -- References -- Chapter 14 Impact of Emotional Intelligence on Investment Decision -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Research Methodology -- 14.4 Data Analysis -- 14.4.1 Reliability Analysis -- 14.4.2 Factors Naming -- 14.4.3 Multiple Regression Analysis -- 14.5 Discussion, Implications, and Future Scope -- 14.6 Conclusion -- References -- Chapter 15 Influence of Behavioral Biases on Investor Decision-Making in Delhi-NCR -- 15.1 Introduction -- 15.2 Literature Review -- 15.2.1 Overconfidence Bias -- 15.2.2 Illusion of Control Bias -- 15.2.3 Optimism Bias -- 15.3 Research Hypothesis -- 15.4 Methodology -- 15.4.1 Result…”

Tabla de Contenidos: “…Cover -- Contents -- Foreword -- Preface to the Second Edition -- Preface to the First Edition -- Chapter 1: Introduction to Computers and Computing -- 1.1 Hardware -- Operating Systems -- 1.2 Evolution of Programming Languages -- 1.3 Brief History of C++ -- 1.4 C++ as a Superset of C Programming Language -- 1.5 To Run a Program -- 1.6 An Informal Introduction to C++ Program -- Summary -- Chapter 2: Moving from C to C++I -- 2.1 Fundamentals -- 2.1.1 Comments -- 2.1.2 Character set -- 2.1.3 Identifiers and keywords -- 2.2 Data Types -- 2.2.1 Simple data types -- 2.2.2 Aggregate data types -- 2.2.3 Pointer data type -- 2.2.4 Enumerated data type -- 2.2.5 Type reference -- 2.2.6 Type void -- 2.3 Constants and Variables Declarations -- 2.4 Operators and Expressions -- 2.5 Library Functions -- 2.6 Statements -- 2.7 Pre-processor Directives -- 2.8 C++ is a Block-Structured Language -- 2.9 Typedef Facility -- 2.10 Simple Input-Output -- 2.10.1 Input-output with cin and cout -- 2.10.2 Console input-output -- 2.11 Control Statements -- 2.11.1 if statement -- 2.11.2 Switch statement -- 2.12 Iteration Statements -- 2.12.1 for statement -- 2.12.2 while statement -- 2.12.3 do-while statement -- 2.12.4 break and continue statements -- 2.12.5 goto statement -- 2.12.6 Comparison of all the three constructs -- 2.13 End of Chapter Programs -- 2.13.1 Sum of series -- 2.13.2 Accuracy of type float is limited! …”

Tabla de Contenidos: “…2.7 Developing HR Strategy -- 2.7.1 Common Mistakes Made in the Development of HR Strategy -- 2.8 Measuring HR's Contribution to Business -- 2.8.1 HR Scorecard -- Application Case -- In a Nutshell -- Drill Down -- Review Questions -- Exercises -- References -- Web site -- Chapter 3: Human Resource Planning and Job Analysis -- Chapter Objectives -- 3.1 Defining Human Resource Planning -- 3.2 Need for Human Resource Planning -- 3.3 Human Resource Planning Process -- 3.3.1 Critical Success Factors for Human Resource Planning -- 3.4 Role of HR in Human Resource Planning -- 3.4.1 Best Practices for Human Resource Planning Practitioners -- 3.5 Demand Forecasting -- 3.5.1 Quantitative Methods of Demand Forecasting -- 3.5.2 Judgemental Methods -- 3.6 Supply Forecasting -- 3.6.1 Markov Analysis -- 3.6.2 Replacement Charts -- 3.6.3 Skill Inventories -- 3.6.4 Staffing Tables -- 3.6.5 Wastage Analysis -- 3.6.6 Succession Planning -- 3.7 Using Scenario Planning for Forecasting -- 3.7.1 Process for Doing Scenario Planning -- 3.7.2 Advantages of Scenario Planning -- 3.8 Job Analysis -- 3.8.1 Defining Job Analysis -- 3.9 Steps in Job Analysis -- 3.9.1 Step I: Planning the Job Analysis -- 3.9.2 Step 2: Preparing and Introducing Job Analysis -- 3.9.3 Step 3: Conducting the Job Analysis -- 3.9.4 Step 4: Developing Job Descriptions and Job Specifications -- 3.9.5 Step 5: Maintaining and Updating Job Descriptions and Job Specifications -- 3.10 Job Analysis: Roles and Responsibilities -- 3.10.1 Characteristics of a Good Job Analyst -- 3.11 Methods of Job Analysis -- 3.11.1 Classification of Job Analysis Methods -- 3.11.2 Methods of Collecting Job Analysis Information -- 3.11.3 Choice of Method for Job Analysis -- 3.12 Job Description and Job Specification -- 3.13 Application of Job Analysis -- 3.13.1 Planning -- 3.13.2 Operations -- 3.13.3 Control -- Application Case…”