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: “…Distortion, Saturation, and Clipping -- 10.1 Introduction: Linear and Nonlinear Processing…”

Tabla de Contenidos: “…10 - Discrete and Fast Fourier Transforms (DFT, FFT) -- 10.1 Discrete Fourier Transform and Inverse Discrete Fourier Transform Equations -- 10.2 First Discrete Fourier Transform Example -- 10.3 Second Discrete Fourier Transform Example -- 10.4 Third Discrete Fourier Transform Example -- 10.5 Fourth Discrete Fourier Transform Example -- 10.6 Fast Fourier Transform -- 10.7 Filtering Using the Fast Fourier Transform and Inverse Fast Fourier Transform -- 10.8 Bit Growth in Fast Fourier Transforms -- 10.9 Bit Reversal Addressing -- 11 - Digital Upconversion and Downconversion -- 11.1 Digital Upconversion -- 11.2 Digital Downconversion -- 11.3 Intermediate Frequency Subsampling -- 12 - Error-Correction Coding -- 12.1 Linear Block Encoding -- 12.2 Linear Block Decoding -- 12.3 Minimum Coding Distance -- 12.4 Convolutional Encoding -- 12.5 Viterbi Decoding -- 12.6 Soft Decision Decoding -- 12.7 Cyclic Redundancy Check -- 12.8 Shannon Capacity and Limit Theorems -- 13 - Matrix Inversion -- 13.1 Matrix Basics -- 13.2 Cholesky Decomposition -- 13.3 4×4 Cholesky Example -- 13.4 QR Decomposition -- 13.5 Gram-Schmidt Method -- 13.6 QR Decomposition Restructuring for Parallel Implementation -- 14 - Field-Oriented Motor Control -- 14.1 Magnetism Basics -- 14.2 AC Motor Basics -- 14.3 DC Motor Basics -- 14.4 Electronic Commutation -- 14.5 AC Induction Motor -- 14.6 Motor Control -- 14.7 Park and Clark Transforms -- 15 - Analog and Time Division Multiple Access Wireless Communications -- 15.1 Early Digital Innovations -- 15.2 Frequency Modulation -- 15.3 Digital Signal Processor -- 15.4 Digital Voice Phone Systems -- 15.5 Time Division Multiple Access Modulation and Demodulation -- 16 - CDMA Wireless Communications -- 16.1 Spread Spectrum Technology -- 16.2 Direct Sequence Spread Spectrum -- 16.3 Walsh Codes -- 16.4 Concept of Code Division Multiple Access…”

Tabla de Contenidos: “…3.2.2 Parabolic Trough Collector -- 3.2.3 Compound Parabolic -- 3.3 Point Focus and Other Concentrating Solar Collectors -- 3.3.1 Central Receiver System -- 3.3.2 Solar Dish -- 3.3.3 Fresnel Lens -- 3.4 Improving the Thermal Performance of Solar Concentrating Collectors -- 3.5 Industrial Adoption and Costs of Solar Concentrating Collectors -- 3.6 Conclusions and Recommendations -- References -- 4 Nanotechnology for Heat Transfer -- 4.1 Introduction -- 4.2 Classification of Nanomaterials -- 4.2.1 Zero-dimensional (0D) -- 4.2.2 One-dimensional (1D) -- 4.2.3 Two-dimensional (2D) -- 4.2.4 Three-dimensional (3D) -- 4.3 Heat Transfer Characteristics and Applications of Nanotechnology on the Heat Transfer Enhancement -- 4.3.1 Convective Heat Transfer -- 4.3.2 Boiling Heat Transfer -- 4.3.3 Thermal Conductivity -- 4.3.4 Viscosity -- 4.4 A Review of Studies and Recent Advances Using Nanomaterials in Energy Conversion, Energy Storage, and Heat Transfer Developm -- 4.5 Recent Advances -- 4.6 Challenges and Future Scope -- 4.7 Conclusion -- References -- 5 Nanofluids in Linear Fresnel Reflector -- 5.1 Introduction and Recent Advances of Linear Fresnel Reflectors -- 5.2 The Idea of Using Nanofluids in Solar Collectors -- 5.3 A Review of Studies with Nanofluid-based Linear Fresnel Reflector -- 5.4 Remarks and Future Scope -- 5.4.1 Advantages of LFR -- 5.4.2 Disadvantages of LFR -- 5.5 Conclusions -- References -- 6 Thermal Management and Performance Enhancement of Parabolic Trough Concentrators Using Nanofluids -- 6.1 Introduction -- 6.2 Recent Advances of Parabolic Trough Collectors -- 6.3 Application of Nanofluids in PTCs -- 6.4 State-of-Art Studies on Using Nanofluids in Parabolic Trough Collectors -- 6.5 Conclusions and Future Scope -- References -- 7 Developing Innovations in Parabolic Trough Collectors (PTCs) Based on Numerical Studies -- 7.1 Introduction…”

Tabla de Contenidos: “…BREVES NOCIONES DEL MÉTODO BIOÉTICO PARA LA RESOLUCIÓN DE LOS CASOS; CAPÍTULO IV; LOS ARGUMENTOS PARA NEGAR O ADMITIR EL ABORTO O LA INDUCCIÓN DEL (...); 1. …”

Tabla de Contenidos: “…Responsabilidad solo a través de la acción colectiva; El resentimiento y la reacción defensiva en la política; Capítulo V La responsabilidad más allá de las fronteras; Ejemplo de injusticia global: Sweatshops; Estructuras globales; Parámetros para razonar acerca de la responsabilidad; Poder; Privilegio; Interés; Capacidad colectiva; Capítulo VI Eludir la responsabilidad; La reificación; Negar la conexión; Las exigencias de la inmediatez; No es cosa mía…”

Tabla de Contenidos: “…Gamley (3:43) -- Cuius animam (Stabat Mater) / Rossini (5:50) -- Se quel guerrier io fossi...Celeste Aida (Aida) / Verdi (4:31) -- Una furtiva lagrima (L'elisir d'amore) / Donizetti (4:47) -- Com'è gentil (Don Pasquale) / Donizetti (3:38) -- Oh! fede negar potessi...Quando le sere al placido (Luisa Miller) / Verdi (5:42) -- Lunge da lei...De'miei bollenti spiriti (La traviata) / Verdi (3:55) -- Di qual tetra luce...Ah sì, ben mio...L'onda de'suoni mistici...Di quella pira (Il trovatore) / Verdi (10:18) -- La donna è mobile (Rigoletto) / Verdi (2:24) -- La rivedrà nell'estasi (Un ballo in maschera / Verdi (2:04) -- Cielo e mar (La gioconda) / Ponchielli (5:11)…”

Tabla de Contenidos: “…Extending the IntIterator to bidirectional -- Practical example - iterating floating point values within a range -- Illustrated usage examples -- Utility functions -- How to construct a linear range iterator -- Iterator usage example -- Generalizing the iterator pair to a range -- The make_linear_range convenience function -- Linear range usage examples -- Summary -- Chapter 6: STL Algorithms and Beyond -- Using STL algorithms as building blocks -- STL algorithm concepts -- Algorithms operate on iterators -- Implementing a generic algorithm that can be used with any container -- Iterators for a range point to the first element and the element after the last -- Algorithms do not change the size of the container -- Algorithms with output require allocated data -- Algorithms use operator== and operator&lt -- by default -- Custom comparator function -- General-purpose predicates -- Algorithms require move operators not to throw -- Algorithms have complexity guarantees -- Algorithms perform just as well as C library function equivalents -- STL algorithms versus handcrafted for-loops -- Readability and future-proofing -- Real-world code base example -- Usage examples of STL algorithms versus handcrafted for-loops -- Example 1 - Unfortunate exceptions and performance problems -- Example 2 - STL has subtle optimizations even in simple algorithms -- Sorting only for the data you need to retrieve -- Use cases -- Performance evaluation -- The future of STL and the ranges library -- Limitations of the iterators in STL -- Introduction to the ranges library -- Composability and pipeability -- Actions, views, and algorithms -- Actions -- Views -- Algorithms -- Summary -- Chapter 7: Memory Management -- Computer memory -- The virtual address space -- Memory pages -- Thrashing -- Process memory -- Stack memory -- Heap memory -- Objects in memory…”

Tabla de Contenidos: “…-- Übungen -- Kapitel 3: Klassifikation -- MNIST -- Trainieren eines binären Klassifikators -- Qualitätsmaße -- Messen der Genauigkeit über Kreuzvalidierung -- Konfusionsmatrix -- Relevanz und Sensitivität -- Die Wechselbeziehung zwischen Relevanz und Sensitivität -- Die ROC-Kurve -- Klassifikatoren mit mehreren Kategorien -- Fehleranalyse -- Klassifikation mit mehreren Labels -- Klassifikation mit mehreren Ausgaben -- Übungen -- Kapitel 4: Trainieren von Modellen -- Lineare Regression -- Die Normalengleichung -- Komplexität der Berechnung -- Das Gradientenverfahren -- Batch-Gradientenverfahren -- Stochastisches Gradientenverfahren -- Mini-Batch-Gradientenverfahren -- Polynomielle Regression -- Lernkurven -- Regularisierte lineare Modelle -- Ridge-Regression -- Lasso-Regression -- Elastic Net -- Early Stopping -- Logistische Regression -- Abschätzen von Wahrscheinlichkeiten -- Trainieren und Kostenfunktion -- Entscheidungsgrenzen -- Softmax-Regression -- Übungen -- Kapitel 5: Support Vector Machines -- Lineare Klassifikation mit SVMs -- Soft-Margin-Klassifikation -- Nichtlineare SVM-Klassifikation -- Polynomieller Kernel -- Ähnlichkeitsbasierte Merkmale -- Der gaußsche RBF-Kernel -- Komplexität der Berechnung -- SVM-Regression -- Hinter den Kulissen -- Entscheidungsfunktion und Vorhersagen -- Zielfunktionen beim Trainieren -- Quadratische Programme -- Das duale Problem -- Kernel-SVM -- Online-SVMs -- Übungen -- Kapitel 6: Entscheidungsbäume -- Trainieren und Visualisieren eines Entscheidungsbaums -- Vorhersagen treffen -- Schätzen von Wahrscheinlichkeiten für Kategorien -- Der CART-Trainingsalgorithmus -- Komplexität der Berechnung -- Gini-Unreinheit oder Entropie? …”

Tabla de Contenidos: “…-- The history and evolution of natural language processing -- Initial strategies in the machine processing of natural language -- A winning synergy - the coming together of NLP and ML -- Introduction to math and statistics in NLP -- Understanding language models - ChatGPT example -- Summary -- Questions and answers -- Chapter 2: Linear Algebra, Probability and Statistics, and Estimation for Machine Learning and Natur -- Introduction to linear algebra -- Basic operations on matrices and vectors -- Matrix definitions -- Eigenvalues and eigenvectors -- Numerical methods for finding eigenvectors -- Eigenvalue decomposition -- Singular value decomposition -- Basic probability for machine learning -- Statistically independent -- Discrete random variables and their distribution -- Probability density function -- Bayesian estimation -- Summary -- Further reading -- References -- Chapter 3: Machine Learning for Natural Language Processing -- Technical requirements -- Data exploration -- Data visualization -- Data cleaning -- Feature selection -- Feature engineering -- Common machine learning models -- Linear regression -- Logistic regression -- Decision trees -- Random forest -- Support vector machines (SVMs) -- Neural networks and transformers -- Model underfitting and overfitting -- Splitting data -- Hyperparameter tuning -- Ensemble models -- Bagging -- Boosting -- Stacking -- Random forests -- Gradient boosting -- Handling imbalanced data -- SMOTE -- The NearMiss algorithm -- Cost-sensitive learning -- Data augmentation -- Dealing with correlated data -- Summary -- References…”

Tabla de Contenidos: “…Utilizing asynchronous signal notifications -- Constructing background tasks with Celery and Redis -- Setting up the Celery task queue -- Installing the Redis DB -- Setting up the Celery client configuration -- Creating the Client instance -- Implementing the Celery tasks -- Running the Celery worker server -- Utilizing the Celery tasks -- Building WebSockets with asynchronous transactions -- Creating the client-side application -- Creating server-side transactions -- Creating a Flask API client application -- Implementing asynchronous SSE -- Implementing the message publisher -- Building the server push -- Applying reactive programming with RxPy -- Choosing Quart over Flask 2.x -- Summary -- Chapter 6: Developing Computational and Scientific Applications -- Technical requirements -- Uploading CSV and XLSX documents for computing -- Using the pandas module for data and graphical analysis -- Utilizing the DataFrame -- Rendering graphs and charts using matplotlib -- Rendering multiple line graphs -- Rendering a pie chart from a CSV file -- Rendering multiple Axes plots -- Implementing symbolic computation with visualization -- Solving linear equations -- Solving non-linear formulas -- Finding solutions for a linear system -- Plotting mathematical expressions -- Creating and rendering LaTeX documents -- Rendering LaTeX documents -- Creating LaTeX documents -- Building graphical charts with frontend libraries -- Plotting with Chart.js -- Creating graphs with Plotly -- Visualizing data using Bokeh -- Building real-time data plots using WebSocket and SSE -- Utilizing the WebSocket -- Using SSE -- Using asynchronous background tasks for resource-intensive computations -- Incorporating Julia packages with Flask -- Creating a custom Julia package -- Configuring Julia accessibility in a Flask project -- Implementing Julia functions in the package…”

Tabla de Contenidos: “…-- Risk functions -- There are many loss functions -- Different loss functions = different end results -- Loss functions for anything -- A loss function by any other name -- What we learned -- Least Squares -- The squared-loss function -- OLS regression -- OLS, outliers, and robust regression -- What we learned -- Linear models -- Practical issues -- The model residuals -- OLS regression code example -- What we learned -- Gradient descent -- Locating the minimum of a simple risk function -- Gradient descent code example -- Gradient descent is a general technique -- Beyond simple gradient descent -- What we learned -- Summary -- Exercises -- Chapter 5: Probabilistic Modeling…”

Tabla de Contenidos: “…Using Computer Tools for Modeling and Simulation Seeing the Big Picture; Chapter 2: Brushing Up on Math; Revealing Unknowns with Algebra; Making Nice Signal Models with Trig Functions; Manipulating Numbers: Essential Complex Arithmetic; Catching Up with Calculus; Finding Polynomial Roots; Chapter 3: Continuous-Time Signals and Systems; Considering Signal Types; Getting Hip to Signal Classifications; Transforming Simple Signals; Checking Out System Properties; Choosing Linear and Time-Invariant Systems; Chapter 4: Discrete-Time Signals and Systems; Exploring Signal Types…”

Tabla de Contenidos: “…Kernel SVR and Different Loss Functions: Mathematical Model and Graphical RepresentationBayesian Linear Regression; Asymmetrical SVR for Power Prediction: Case Study; References; Chapter 5: Hidden Markov Model; Discrete Markov Process; Definition 1; Definition 2; Definition 3; Introduction to the Hidden Markov Model; Essentials of the Hidden Markov Model; The Three Basic Problems of HMM; Solutions to the Three Basic Problems of HMM; Solution to Problem 1; Forward Algorithm; Backward Algorithm; Scaling; Solution to Problem 2; Initialization; Recursion; Termination; State Sequence Backtracking…”

Tabla de Contenidos: “…Automatical face beautification based on near-infrared imageLearning semantic correlations of images and text by automatic image annotation; Chinese character recognition based on 8-direction feature extraction; Visual tracking via discriminative random ferns; Classifying collaborative behavior in the form of behavioral stereotypes in collaborative mobile applications; DOA estimation of array radar via compressive sampling and matrix completion; An improved non-linear ARED algorithm based on queue length; Frontier approach research on the detection of early breast tumor…”

Tabla de Contenidos: “…Front Cover; Table of contents; Preface; CICET 2014 Committee; Computer science and intelligent computing; The study of Tibetan text clustering based on hybrid parallel genetic algorithm; The PVDF-based method for wind turbine blades structural health monitoring; Research on universal data push mechanism based on XMPP protocol and IAIDL for smart home; Stereo vision calibration based on Elman neural network; Compressed sensing algorithms for direction-of-arrival estimation with nonuniform linear arrays; An improved particle swarm algorithm for distribution network reconfiguration…”

Tabla de Contenidos: “…La résilience des économies aux chocs exogènes -- Sécurité alimentaire, durabilité et Objectifs de développement durable -- Nouvelles approches face aux défis économiques au siècle des villes -- De l'importance de l'approche fondée sur la Cohérence des politiques pour la mise en œuvre des Objectifs de développement durable -- La cohérence des politiques servie par de nouvelles données, de nouvelles études, de nouvelles mentalités -- Comprendre et gérer les conséquences inégales des pressions et politiques environnementales -- Politiques environnementales et performance économique -- Un nouveau paradigme pour le développement rural -- Mesurer le bien-être multidimensionnel et le développement durable -- Évoluer vers une croissance sans exclus -- Région Asie-Pacifique: les défis du développement durable -- Finance, croissance et inégalité -- Les implications pour l'OCDE du Programme de développement durable des Nations Unies à l'horizon 2030 -- L'OCDE doit jouer un rôle pionnier pour les Objectifs de développement durable -- Coordination et mise en œuvre des ODD : le rôle des Centres de gouvernement -- Des mariages tadjiks aux banquiers de Wall Street : itinéraire d'une journaliste éclectique -- L'égalité hommes-femmes et les Objectifs de développement durable -- Nouveaux Défis, Nouvelles Approches -- La croissance inclusive offre la possibilité de placer la croissance sur une trajectoire viable sur le plan social -- Les Objectifs de développement durable et la coopération pour le développement -- Passer de l'analyse à l'action : Les examens multidimensionnels par pays -- Mettre les échanges et l'investissement au service des individus -- Les Nouvelles approches face aux défis économiques (NAEC) et les Objectifs de développement durable : la voie à suivre -- Le vieillissement est l'avenir du développement -- Une réponse à la question de la Reine : de Nouvelles approches face aux défis économiques -- Les politiques structurelles et leurs effets redistributifs -- Introduction : les Roméo et Juliette de la transformation économique -- L'articulation entre productivité et égalité : pourquoi adopter une approche commune? …”

Tabla de Contenidos: “…Intro -- Statistiques de base de la Turquie, 2019 -- Résumé -- La reprise après la première vague de la pandémie a été vigoureuse, bien que marquée par des difficultés -- Des réformes structurelles sont indispensables à la reprise et à l'amélioration du bien-être -- 1 Principaux éclairages sur l'action publique -- Le choc provoqué par le COVID-19 a une incidence économique et sociale importante -- Les mesures de confinement ciblées et les initiatives de politique sanitaire ont été initialement efficaces, mais le pays est confronté à une deuxième vague -- Des politiques dynamiques de soutien ont favorisé une reprise vigoureuse, qui a été ensuite confrontée à des vents contraires -- La balance des paiements a été soumise à de fortes tensions -- La reprise sera inégale et les risques sont importants -- Priorités de l'action publique pour contenir la pandémie et soutenir la reprise -- Renforcer les paramètres macroéconomiques fondamentaux après le choc -- Rééquilibrer la demande et assurer la viabilité extérieure -- Rendre le cadre budgétaire plus transparent et plus prévisible -- Améliorer la crédibilité budgétaire à long terme -- Stabiliser l'inflation et renforcer la crédibilité de la politique monétaire -- Renforcer l'emploi, la qualité de l'emploi et la cohésion sociale après le choc du COVID-19 -- Reprendre le processus d'amélioration dans les domaines du bien-être et de la cohésion sociale -- Convergence régionale des niveaux de vie -- La confiance collective -- Les enjeux régionaux spécifiques -- Décarbonation de l'économie et amélioration de la qualité de l'air -- Améliorer la gouvernance publique -- Améliorer l'intégrité publique et lutter contre la corruption et le blanchiment de capitaux -- Les choix que feront les autorités auront une incidence sur la façon dont la Turquie sortira de la crise du COVID-19 et sur la situation dans les années à venir -- Annexe A. …”

Tabla de Contenidos: “…ADS Performance from the Safety and Reliability PerspectiveImpact of the LANSCE Accelerator Beam Trips on Pilot MoltenLead-bismuth Target Design; Availability and Reliability of the TRISPAL Project Accelerator and their Incidence on Target Operation; Structural Activation, Energy Deposition and Shielding CalculationsDue to Proton Beam Loss in a High Power Proton Linear Accelerator; Radiological Burden Associated with Accelerator-driven Core; Session VI Benchmarks; The Tasks of Benchmark Type Related to Molten Lead-bismuth TargetDesign Substantiation and Preliminary Results of Their Solution…”

Tabla de Contenidos: “…Television styleBroadcast language; Reader on camera; Adding illustration; The digital frame-store; Stacking and cropping; Storage and retrieval; Making the choice; Writing to still pictures or insets; Composites and split screens; Electronic graphics; The artist and the writer; Pictures with tape sound; Widescreen transmission; 6 Words and images; Perspective: the history of the lightweight revolution; Introducing colour; The rise of ENG - electronic news-gathering; How ENG works; Picture editing; Shot-listing and the script; Non-linear editing; 7 Writing to pictures…”