Tabla de Contenidos: “…Recommandations en vue d'améliorer les politiques budgétaire et monétaire -- Une croissance économique plus vigoureuse ne sera possible qu'avec des mesures destinées à accélérer les gains de productivité -- Le gouvernement devrait persévérer dans ses efforts pour améliorer la qualité et l'équité de l'enseignement -- Graphique 9. …”

Tabla de Contenidos: “…Durée hebdomadaire du travail et préférence pour les loisirs -- Tableau 2. Évolution possible du nombre total d'heures ouvrées en fonction de la démographie et de l'évolution du marché du travail -- Perspectives de croissance -- Éléments et mécanismes déterminant les pressions sur les finances publiques -- Graphique 9. …”

Tabla de Contenidos: “…Les motifs des restrictions et les autres approches possibles -- Notes -- Annexe 1. Liste des restrictions imposées par les pays membres de l'OCDE en matière d'investissement direct étranger dans les services professionnels, établie en vertu du Code de la libération des mouvements de capitaux -- Chapitre 5. …”

Tabla de Contenidos: “…Une comparaison internationale des soins de santé montre qu'il est possible de réaliser des économies au Japon -- Graphique 20. …”

Tabla de Contenidos: “…Prévisions à court terme -- II. Réformes possibles pour promouvoir une croissance durable -- Graphique 11. …”

Tabla de Contenidos: “…Crédits à l'exportation en direction des pays importateurs Membres de l'OCDE -- Les autres utilisations de crédits à l'exportation qui sont exclues de la présente étude -- Les organisations bénéficiant d'une autorité publique -- Quand l'aide alimentaire peut se confondre avec les crédits à l'exportation -- Les garanties relatives aux risques des changes et autres bénéfices et répercussions possibles... -- Les crédits à l'exportation sur les marchés mondiaux des produits agricoles -- Analyse préliminaire de la façon dont les crédits à l'exportation faussent le marché mondial -- Crédits à l'exportation et subventions à l'exportation sur les marchés mondiaux -- Tableau III.6. …”

Tabla de Contenidos: “…. -- Notes -- Chapitre 5. Choix possibles en matière d'instruments d'intervention pour les bâtiments écologiquement viables -- 5.1. …”

Tabla de Contenidos:

Tabla de Contenidos: “…Tableau III.1. Résumé des cas possibles de défaillance du marché -- Réexamen de certaines hypothèses -- Tenir compte des externalités négatives -- Tableau III.2. …”

Tabla de Contenidos: “…-- 8.2.1 The Potentialities of People's Engagement for Energy Saving -- 8.3 Human-Building System Interaction: Active and Passive Roles of Occupants -- 8.4 Typical Occupants' Attitudes Playing a Key Role in Energy Need -- 8.5 Occupants' Behavior in Building Thermal Energy Dynamic Simulation -- 8.5.1 Dynamic Simulation Models and Occupancy Schedules -- 8.5.2 Case Study of Numerical Analyses About Predictive and Postoccupancy Approaches -- 8.6 Occupant Behavior Towards Energy Saving in Buildings -- 8.6.1 Understanding the Role of Social and Personal Engagement for Energy Saving -- 8.6.2 The Role of Eco-Feedback -- 8.6.3 Occupants' Behavior Towards Retrofitting and Human-Based Energy Retrofits -- 8.6.4 Possible Interventions Towards Proenvironmental Energy Behavior: Peer-Network Effect and Social Triggering for Energy ... -- 8.7 Conclusions -- References -- 9 An Overview of the Challenges for Cost-Effective and Energy-Efficient Retrofits of the Existing Building Stock -- 9.1 Introduction -- 9.2 Challenges in Building Energy Retrofitting -- 9.2.1 Priorities of Stakeholders -- 9.2.2 Time Period -- 9.2.3 Capital Investment -- 9.2.4 Cost Effectiveness -- 9.2.5 Risk Analysis -- 9.2.6 Technology -- 9.2.7 Government Policies -- 9.2.8 Reliable Prediction of Building Energy Performance -- 9.3 Optimization Approaches for the Design of Building Energy Retrofit -- 9.4 Building Energy Retrofit and Sustainability -- 9.5 Conclusions -- Acknowledgment -- References -- 10 Smart Heating Systems for Cost-Effective Retrofitting -- 10.1 Introduction -- 10.2 Technology -- 10.2.1 "Smartness" in the Primary Systems -- 10.2.2 "Smartness" in the Secondary Systems -- 10.2.3 The Control and the Building Automation -- 10.2.4 The Heat Metering -- 10.2.5 The Users Interfaces…”

Tabla de Contenidos: “…. -- 8.12 Discussion -- 8.13 Validity and Reliability -- 8.14 Conclusion -- Acknowledgment -- References -- 9 Achieving quality on software design through test-driven development -- 9.1 Introduction -- 9.2 Evidences on the Influence of TDD on Software Quality -- 9.3 TDD as a Design Technique -- 9.4 Modeling Relations with TDD -- 9.4.1 Mock Objects -- 9.4.2 Designing Dependencies -- 9.4.3 Hierarchy and Abstractions -- 9.5 Large Refactorings -- 9.6 Combining TDD with Other Design Techniques -- 9.6.1 Architectural Design -- 9.6.2 Domain Modeling -- 9.6.3 Design Patterns -- 9.7 Preparing for TDD in a Software Project -- 9.8 Continuous Inspection -- 9.9 Conclusions -- References -- 10 Architectural drift analysis using architecture reflexion viewpoint and design structure reflexion matrices -- 10.1 Introduction -- 10.2 Reflexion Modeling -- 10.3 Reflexion Modeling Using Software Architecture Viewpoints -- 10.4 Reflexion Viewpoint -- 10.5 Design Structure Matrix -- 10.6 Design Structure Reflexion Matrix -- 10.7 Possible Applications -- 10.8 Conclusion -- References -- 11 Driving design refinement: How to optimize allocation of software development assurance or integrity requirements -- 11.1 Introduction -- 11.2 Safety Requirements in ARP4754-A -- 11.3 The Issue of Independence in ARP4754-A -- 11.4 Challenges in Requirements Allocation-The Research Problem -- 11.5 Automatic Allocation of DALs…”

Tabla de Contenidos: “…You Call it a ``Failure Mode ́ ́, I Call it ``Possible Grounds for Legal Action ́ ́ -- 3.3. Ethics -- 3.3.1. …”

Tabla de Contenidos: “…7.2 Table per concrete class with unions -- 7.3 Table per class hierarchy -- 7.4 Table per subclass with joins -- 7.5 Mixing inheritance strategies -- 7.6 Inheritance of embeddable classes -- 7.7 Choosing a strategy -- 7.8 Polymorphic associations -- 7.8.1 Polymorphic many-to-one associations -- 7.8.2 Polymorphic collections -- Summary -- 8 Mapping collections and entity associations -- 8.1 Sets, bags, lists, and maps of value types -- 8.1.1 The database schema -- 8.1.2 Creating and mapping a collection property -- 8.1.3 Selecting a collection interface -- 8.1.4 Mapping a set -- 8.1.5 Mapping an identifier bag -- 8.1.6 Mapping a list -- 8.1.7 Mapping a map -- 8.1.8 Sorted and ordered collections -- 8.2 Collections of components -- 8.2.1 Equality of component instances -- 8.2.2 Set of components -- 8.2.3 Bag of components -- 8.2.4 Map of component values -- 8.2.5 Components as map keys -- 8.2.6 Collection in an embeddable component -- 8.3 Mapping entity associations -- 8.3.1 The simplest possible association -- 8.3.2 Making it bidirectional -- 8.3.3 Cascading state -- Summary -- 9 Advanced entity association mappings -- 9.1 One-to-one associations -- 9.1.1 Sharing a primary key -- 9.1.2 The foreign primary key generator -- 9.1.3 Using a foreign key join column -- 9.1.4 Using a join table -- 9.2 One-to-many associations -- 9.2.1 Considering one-to-many bags -- 9.2.2 Unidirectional and bidirectional list mappings -- 9.2.3 Optional one-to-many with a join table -- 9.2.4 One-to-many association in an embeddable class -- 9.3 Many-to-many and ternary associations -- 9.3.1 Unidirectional and bidirectional many-to-many associations -- 9.3.2 Many-to-many with an intermediate entity -- 9.3.3 Ternary associations with components -- 9.4 Entity associations with maps -- 9.4.1 One-to-many with a property key -- 9.4.2 Key/value ternary relationship -- Summary…”

Tabla de Contenidos: “…Hausse attendue des exportations de sucre brut en provenance des producteurs à faibles coûts -- Progression attendue de la consommation -- Questions et incertitudes majeures -- Encadré 4. La Chine, un possible salut pour le marché mondial du sucre ? -- Graphique 37. …”

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: “…21.4 Amortized Performance and Average Performance -- 21.5 Two Principles: Reducing Overhead and Managing Memory -- 21.6 Performance Tip: Use Numerical Libraries When Applicable -- 21.7 Performance Tip: Delete Large Structures You Don't Need -- 21.8 Performance Tip: Use Built-In Functions When Possible -- 21.9 Performance Tip: Avoid Superfluous Function Calls -- 21.10 Performance Tip: Avoid Creating Large New Objects -- 21.11 Further Reading -- 21.12 Glossary -- Part III Specialized or Advanced Topics -- Chapter 22 Computer Memory and Data Structures -- 22.1 Virtual Memory, the Stack, and the Heap -- 22.2 Example C Program -- 22.3 Data Types and Arrays in Memory -- 22.4 Structs -- 22.5 Pointers, the Stack, and the Heap -- 22.6 Key Data Structures -- 22.7 Further Reading -- 22.8 Glossary -- Chapter 23 Maximum Likelihood Estimation and Optimization -- 23.1 Maximum Likelihood Estimation -- 23.2 A Simple Example: Fitting a Line -- 23.3 Another Example: Logistic Regression -- 23.4 Optimization -- 23.5 Gradient Descent and Convex Optimization -- 23.6 Convex Optimization -- 23.7 Stochastic Gradient Descent -- 23.8 Further Reading -- 23.9 Glossary -- Chapter 24 Advanced Classifiers -- 24.1 A Note on Libraries -- 24.2 Basic Deep Learning -- 24.3 Convolutional Neural Networks -- 24.4 Different Types of Layers. …”

Tabla de Contenidos: “…Chapter 14 Interoperability: A Conceptual Framework -- 14.1 Introduction -- 14.2 Inclusions in IoT Network -- 14.3 IoT Interoperability Protocols -- 14.3.1 IoT Data Protocols -- 14.3.2 IoT Network Protocols -- 14.4 Interoperability Conceptual Framework Proposed -- 14.4.1 IoT Deployment Architecture -- 14.4.2 Understanding Interoperability Model -- 14.4.3 Novel IoT Interoperability Scheme -- 14.5 Conclusion -- References -- Chapter 15 Securing IoT Devices Against MITM and DoS Attacks: An Analysis -- 15.1 Introduction -- 15.2 Architecture of IoT -- 15.3 Attacks on IoT -- 15.3.1 MITM Attacks in IoT -- 15.3.2 DoS Attacks in IoT -- 15.3.3 MITM Targets an IoT Network -- 15.3.4 DoS Targets an IoT Network -- 15.4 Some Possible Solutions to Avoid/Prevent Cyberattacks -- 15.5 Conclusions -- References -- PART III: ARTIFICIAL INTELLIGENCE OF THINGS: SMART CITY AND SOCIAL APPLICATIONS -- Chapter 16 AIoT-Based Smart Cities -- 16.1 What Are Smart Cities? …”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- About the Editors -- List of Contributors -- List of Abbreviations -- 1 Opportunities and Challenges in Resource Recovery From Waste -- 1.1 Introduction -- 1.2 Classification of Wastes -- 1.3 Significance of Waste Recovery -- 1.4 Requirements for a Circular Economy and Resource Recovery -- 1.4.1 Societal Requirements -- 1.4.2 Municipal Requirements -- 1.5 Recovery Status and Opportunities -- 1.5.1 Organic Matter Compost and Energy Potential Utilization -- 1.5.2 Anaerobic Digestion -- 1.5.3 Plastics Recycling and Recovery -- 1.5.4 Refuse-Derived Fuel -- 1.5.5 Inert Waste Recycling -- 1.5.6 Carbon-Based Materials -- 1.5.7 Incineration -- 1.5.8 Heavy Metal Recovery -- 1.6 Challenges -- 1.6.1 Approach of Public and Mixing Up of Wastes -- 1.6.2 Recovery Feasibility -- 1.6.3 Climate-Solid Waste Relation -- 1.6.4 Income Distribution of Population -- 1.6.5 Policies and Framework, Fund Allocation Implications -- 1.7 Possible Strategies for Improved Resource Recovery -- 1.7.1 Decentralization of Waste -- 1.7.2 Extended Producer Responsibility -- 1.7.3 Public Sentiments and Waste Prevention Behaviour -- 1.7.4 Incorporating Technology -- 1.7.5 Improved Data Reliability On Waste Composition -- 1.7.6 Policy Implementation -- 1.7.7 Formal-Informal Sector Collaboration -- 1.8 Conclusion -- References -- 2 Best Available Techniques for Organic Livestock Waste Management in Russia -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.3 Results -- 2.4 Conclusions -- Acknowledgements -- References -- 3 Bioenergy From Organic Waste: Translation of Technology From Laboratory to Land -- 3.1 Introduction -- 3.1.1 Biomethanation Process -- 3.2 Development of Advanced High-Rate Anaerobic Digesters: Significance and Indigenization…”

Tabla de Contenidos: “…-- Limites des relations en ligne entre les administrations et les citoyens et solutions possibles -- Encadré 34. Allemagne : Assurer un accès à Internet pour tous -- Défis pour l'intégration et l'application des outils -- Encadré 35. …”

Tabla de Contenidos: “…9.3.3 Downloading a small file using the readAll() method -- 9.4 Distributed Program Call -- 9.5 Coding consideration for servlets and JSPs -- 9.5.1 Do not store large objects in HttpSessions -- 9.5.2 Releasing HttpSessions when finished -- 9.5.3 Do not create HttpSessions in JSPs by default -- 9.5.4 Do not use SingleThreadModel -- 9.5.5 Using the HttpServlet init() method -- 9.5.6 Using the HttpServlet destroy() method -- 9.5.7 Minimizing or eliminating the use of System.out.println() -- 9.5.8 Don't use Beans.instantiate() to create new bean instances -- 9.5.9 Using and reusing data sources for JDBC connections -- 9.5.10 Releasing JDBC resources when done -- 9.5.11 Page generation using strings -- 9.5.12 Consideration with static content -- 9.5.13 JSP include directive versus Action -- 9.5.14 Minimizing the useBean scope -- 9.6 Coding considerations for EJBs -- 9.6.1 Accessing entity beans from session beans -- 9.6.2 JNDI names -- 9.6.3 Reusing EJB home interfaces -- 9.6.4 Using info beans to reduce remote calls -- 9.6.5 Releasing resources in EJBs -- 9.6.6 Using local interfaces when possible -- 9.6.7 Removing stateful session beans when finished -- 9.6.8 Transactions -- 9.6.9 Using CMPs instead of BMPs -- 9.6.10 Message-driven beans -- 9.6.11 Using home methods -- 9.6.12 Using the setEntityContext() method -- 9.6.13 Don't use entity beans as simple data wrappers -- 9.6.14 Minimizing the use of stateful session beans -- 9.6.15 Using Data Class Access Beans -- 9.7 Profiling your application -- 9.7.1 Method speed -- 9.7.2 Finding memory leaks -- 9.8 Using a response time watcher -- Chapter 10. …”