Tabla de Contenidos: “…Recommandations en matière de politique agricole -- Adopter une stratégie en faveur du système agricole et alimentaire -- Dans la politique agricole, mettre l'accent sur les besoins de développement à long terme du secteur -- Renforcer la capacité à répondre aux défis et à saisir les opportunités qui se profilent -- Une meilleure information au service de meilleures politiques agricoles -- Déceler les défaillances du marché et de l'action publique lorsqu'il existe des dispositifs de soutien aux producteurs -- Réduire les distorsions créées par la politique agricole -- Supprimer les obstacles à l'innovation, au changement structurel et à l'utilisation durable des ressources -- Mettre à profit les mesures de politique agricole pour cibler plus précisément les déterminants de la productivité et de la durabilité -- Créer des incitations plus spécifiques à l'innovation et à l'ajustement -- Renforcer les incitations en faveur de l'utilisation durable des ressources naturelles -- Promouvoir la préparation des exploitants et la gestion des risques pour faciliter les investissements à l'avenir -- Faire en sorte que le soutien à l'investissement soit mieux adapté aux besoins -- Mieux tenir compte de la diversité des populations agricoles -- Poursuivre des objectifs plus généraux à l'aide de mesures non sectorielles -- Notes -- Références -- Chapitre 5. …”

Tabla de Contenidos: “…5.7 Reaction-Diffusion Computation -- 6 Change of Field Domain -- 7 Cortical Field Computation -- 7.1 Information Fields -- 7.2 Nonlinear Computation by Topographic Maps -- 7.3 Field Representations of Discrete Symbols -- 7.4 Gabor Representation and the Uncertainty Principle -- 8 Universal Field Computation -- 9 General-Purpose Field Computers -- 10 Conclusions and Future Work -- References -- Chapter 4: Design of cellular quantum-inspired evolutionary algorithms with random topologies -- 1 Introduction -- 2 Literature Survey -- 3 Cellular Quantum-Inspired Evolutionary Algorithms -- 4 Benchmark Problems -- 4.1 P-PEAKS Problems -- 4.2 0-1 Knapsack Problems -- 5 Testing, Results, and Analysis -- 5.1 Static Random Topologies -- 5.1.1 P-PEAKS problems -- 5.1.2 0-1 knapsack problems -- 5.2 Dynamic Random Topology -- 5.3 Adaptive Random Topology -- 5.4 Comparative Study -- 6 Conclusions and Future Work -- Acknowledgments -- References -- Part II: Applications -- Chapter 5: An efficient pure color image denoising using quantum parallel bidirectional self-organizing neural network arc ... -- 1 Introduction -- 2 Review of the Literature -- 3 Proposed Work -- 4 Fundamentals of Fuzzy Sets -- 4.1 Fuzzy Set Concepts -- 4.2 Fuzzy Set Operations -- 4.3 Fuzzy Cardinality -- 5 Quantum Computing Fundamentals -- 5.1 Concept of Qubits -- 5.2 Fundamentals of a Rotation Gate -- 5.3 Quantum Measurement -- 6 Parallel Bidirectional Self-Organizing Neural Network Architecture -- 7 Hopfield Network -- 8 Quantum Parallel Bidirectional Self-Organizing Neural Network Architecture -- 8.1 Dynamics of Networks -- 8.2 Network Weight Adjustment -- 8.3 Network Parallel Self-Supervision Algorithm -- 9 Experimental Results -- 9.1 Kolmogorov-Smirnov Test -- 10 Conclusion -- References -- Chapter 6: Quantum-inspired multi-objective simulated annealing for bilevel image thresholding…”

Tabla de Contenidos: “…8.2.1 - Basic specifications of generalized linear mixed models -- 8.2.2 - Statistical inference and likelihood functions -- 8.2.3 - Procedures of maximization and hypothesis testing on fixed effects -- 8.2.4 - Hypothesis testing on variance components -- 8.3 - Methods of estimating parameters in generalized linear mixed models -- 8.3.1 - Penalized quasi-likelihood method -- 8.3.2 - Marginal quasi-likelihood method -- 8.3.3 - The Laplace method -- 8.3.4 - Gaussian quadrature and adaptive Gaussian quadrature methods -- 8.3.5 - Markov Chain Monte Carlo methods -- 8.4 - Nonlinear predictions and retransformation of random components -- 8.4.1 - Best linear unbiased prediction based on linearization -- 8.4.2 - Empirical Bayes BLUP -- 8.4.3 - Retransformation method -- 8.5 - Some popular specific generalized linear mixed models -- 8.5.1 - Mixed-effects logistic regression model -- 8.5.2 - Mixed-effects ordered logistic model -- 8.5.3 - Mixed-effects multinomial logit regression models -- 8.5.4 - Mixed-effects Poisson regression models -- 8.5.5 - Survival models -- 8.6 - Summary -- Chapter 9 - Generalized estimating equations (GEEs) models -- 9.1 - Basic specifications and inferences of GEEs -- 9.1.1 - Specifications of "naïve" model with independence hypothesis -- 9.1.2 - Basic specifications of GEEs -- 9.1.3 - Specifications of working correlation matrix -- 9.1.4 - Quasi-likelihood information criteria for GEEs -- 9.2 - Other GEE approaches -- 9.2.1 - Prentice's GEE approach -- 9.2.2 - Zhao and Prentice's GEE method (GEE2) -- 9.2.3 - GEE models on odds ratios -- 9.3 - Relationship between marginal and random-effects models -- 9.3.1 - Comparison between the two approaches -- 9.3.2 - Use of GEEs to fit a conditional model -- 9.4 - Empirical illustration: effect of marital status on disability severity in older Americans -- 9.5 - Summary…”

Tabla de Contenidos:

Tabla de Contenidos: “…-- Mass Storage System: -- PC's Mass Storage System: -- Surveying the mass storage landscape -- Identifying the primary storage device -- Finding mass storage devices -- Inserting a media card or thumb drive -- Inserting an optical disc -- Ejecting media -- Adding more storage -- Mass Storage Alphabet: -- Handing out drive letters -- Exploring drive icons and names -- Checking drive capacity -- Using mass storage -- Accessing removable media -- Merry Monitor Mayhem: -- PC's Graphics System: -- Minding the monitor -- Discovering the display adapter -- Show Me What Ya Got: -- Measuring a monitor -- Connecting the monitor to the PC -- Reading monitor messages -- Working the monitor's controls -- Windows Controls What You See: -- Setting resolution -- Adding a second monitor -- Orienting the monitor -- Input This!…”

Tabla de Contenidos: “…6.7.1 Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) -- 6.7.2 Fronto-Temporal Dementia (FTD) -- 6.7.3 Multiple Sclerosis (MS) -- 6.7.4 Amyotrophic Lateral Sclerosis (ALS) and Depression -- 6.7.5 Bipolar -- 6.7.6 Schizophrenia -- 6.7.7 Attention Deficit Hyperactivity Disorder (ADHD) -- 6.7.8 Multiple System Atrophy (MSA) -- 6.7.9 Epilepsy/Seizures -- 6.7.10 Pediatric Applications -- 6.8 Resting-State Functional Imaging of Neonatal Brain Image -- 6.9 Different Groups in Brain Disease -- 6.10 Learning Algorithms for Analyzing rsfMRI -- 6.11 Conclusion and Future Directions -- References -- Chapter 7 Early Prediction of Epileptic Seizure Using Deep Learning Algorithm -- 7.1 Introduction -- 7.2 Methodology -- 7.3 Experimental Results -- 7.4 Taking Care of Children with Seizure Disorders -- 7.5 Ketogenic Diet -- 7.6 Vagus Nerve Stimulation (VNS) -- 7.7 Brain Surgeries -- 7.8 Conclusion -- References -- Chapter 8 Brain-Computer Interface-Based Real-Time Movement of Upper Limb Prostheses Topic: Improving the Quality of the Elderly with Brain-Computer Interface -- 8.1 Introduction -- 8.1.1 Motor Imagery Signal Decoding -- 8.2 Literature Survey -- 8.3 Methodology of Proposed Work -- 8.3.1 Proposed Control Scheme -- 8.3.2 One Versus All Adaptive Neural Type-2 Fuzzy Inference System (OVAANT2FIS) -- 8.3.3 Position Control of Robot Arm Using Hybrid BCI for Rehabilitation Purpose -- 8.3.4 Jaco Robot Arm -- 8.3.5 Scheme 1: Random Order Positional Control -- 8.4 Experiments and Data Processing -- 8.4.1 Feature Extraction -- 8.4.2 Performance Analysis of the Detectors -- 8.4.3 Performance of the Real Time Robot Arm Controllers -- 8.5 Discussion -- 8.6 Conclusion and Future Research Directions -- References -- Chapter 9 Brain-Computer Interface-Assisted Automated Wheelchair Control Management-Cerebro: A BCI Application -- 9.1 Introduction…”

Tabla de Contenidos: “…10.4 Interconnectivity and Integration of Emerging Technology with Industry 4.0/5.0 for Effective Online Social Networking -- 10.4.1 IoT-Enabled Social Networking -- 10.4.2 AI-Driven Insights for Industrial Networking -- 10.4.3 Blockchain Applications in Social and Industrial Networks -- 10.5 Smart Manufacturing and Social Networking Towards Industry 4.0/5.0 -- 10.5.1 Role of Social Platforms in Smart Factories -- 10.5.2 Data-Driven Decision Making in Manufacturing Processes -- 10.6 Open Issues and Challenges Towards Industry 4.0/5.0 for Effective Online Social Networking -- 10.7 Future Research Opportunities Towards Industry 4.0/5.0 for an Effective Online Social Networking -- 10.8 Conclusion -- References -- Chapter 11 Online Social Networking: Power of Industry 6.0 and Beyond -- 11.1 Introduction -- 11.1.1 Online Social Networking -- 11.1.2 Industry 6.0: Definition -- 11.1.3 Evolution from Industry 4.0/5.0 to Industry 6.0 -- 11.1.4 Organization of the Work -- 11.2 Background -- 11.3 Transformative Shifts in Industrial Paradigms for Industry 6.0 -- 11.4 The Role of Online Social Networking in Industry 6.0 -- 11.4.1 Collaborative Innovation Through Social Platforms -- 11.4.2 Human-Centric Approaches in Industrial Networking -- 11.5 Integration of Emerging Technologies for Social Networking in the Era of Industry 6.0 -- 11.5.1 Integration with Artificial Intelligence (AI)/ML for Social Networking in the Era of Industry 6.0 -- 11.5.2 Synergy of Blockchain and Internet of Things (IoT) for Social Networking in the Era of Industry 6.0 -- 11.5.3 Quantum Computing for Social Networking in the Era of Industry 6.0 -- 11.5.4 AR/VR for Social Networking in the Era of Industry 6.0 -- 11.6 Smart Factories and Social Collaboration -- 11.6.1 Enhanced Communication in Smart Manufacturing -- 11.6.2 Social Networks for Adaptive and Agile Production…”

Tabla de Contenidos: “…Product overview -- 2.1 WebSphere Business Integration Server -- 2.1.1 IBM Business Integration Reference Architecture overview -- 2.1.2 Components of WebSphere Business Integration Server 4.3.0 -- 2.2 WebSphere InterChange Server -- 2.2.1 Collaborations -- 2.2.2 Business objects -- 2.2.3 Maps -- 2.2.4 WebSphere Business Integration Toolset -- 2.3 New features in WebSphere InterChange Server 4.3 -- 2.3.1 Move to Java 1.4.2 and Eclipse 2.1 -- 2.3.2 End-to-end security -- 2.3.3 Role-based access control -- 2.3.4 Hot deployment -- 2.3.5 Large-object support -- 2.3.6 JMS transport optimization -- 2.3.7 Database connection resilience -- 2.3.8 Fail Events Management API -- 2.3.9 Failed Event Manager -- 2.3.10 Dynamic Service Calls -- 2.3.11 Bidirectional language support -- 2.3.12 One Persistent Name Server hosts multiple ICSs and adapters -- 2.3.13 Web services -- 2.3.14 Remote service support for Integrated Test Environment -- 2.3.15 Improved tooling facilities for Activity Editor, Map Designer, and Connector Configurator -- 2.3.16 IBM Tivoli License Manager -- 2.3.17 Linux support -- Chapter 3. …”

Tabla de Contenidos: “…11.1.1 Creating applications with the mix tool -- 11.1.2 The application behavior -- 11.1.3 Starting the application -- 11.1.4 Library applications -- 11.1.5 Creating a to-do application -- 11.1.6 The application folder structure -- 11.2 Working with dependencies -- 11.2.1 Adding a dependency -- 11.2.2 Adapting the pool -- 11.2.3 Visualizing the system -- 11.3 Building a web server -- 11.3.1 Choosing dependencies -- 11.3.2 Starting the server -- 11.3.3 Handling requests -- 11.3.4 Reasoning about the system -- 11.4 Configuring applications -- 11.4.1 Application environment -- 11.4.2 Varying configuration -- 11.4.3 Config script considerations -- Summary -- 12 Building a distributed system -- 12.1 Distribution primitives -- 12.1.1 Starting a cluster -- 12.1.2 Communicating between nodes -- 12.1.3 Process discovery -- 12.1.4 Links and monitors -- 12.1.5 Other distribution services -- 12.2 Building a fault-tolerant cluster -- 12.2.1 Cluster design -- 12.2.2 The distributed to-do cache -- 12.2.3 Implementing a replicated database -- 12.2.4 Testing the system -- 12.2.5 Detecting partitions -- 12.2.6 Highly available systems -- 12.3 Network considerations -- 12.3.1 Node names -- 12.3.2 Cookies -- 12.3.3 Hidden nodes -- 12.3.4 Firewalls -- Summary -- 13 Running the system -- 13.1 Running a system with Elixir tools -- 13.1.1 Using the mix and elixir commands -- 13.1.2 Running scripts -- 13.1.3 Compiling for production -- 13.2 OTP releases -- 13.2.1 Building a release with distillery -- 13.2.2 Using a release -- 13.2.3 Release contents -- 13.3 Analyzing system behavior -- 13.3.1 Debugging -- 13.3.2 Logging -- 13.3.3 Interacting with the system -- 13.3.4 Tracing -- Summary -- Index -- Lists of Figures, Tables and Listings -- List of Illustrations -- List of Tables -- List of Listings…”

Tabla de Contenidos: “…78 3.3 LTE meets Demands of Public Safety Networks 79 3.4 Wide Range of LTE Devices for Public Safety 80 3.5 Standalone versus Shared Deployments 81 3.6 Interworking 83 3.6.1 Device Aspects 83 3.6.2 Network Aspects 83 References 83 4 Proximity Services 85 4.1 Introduction to Proximity Services 85 4.1.1 Proximity Services Overview 85 4.1.2 ProSe Communication 86 4.1.3 ProSe Discovery 88 4.1.4 ProSe for Public Safety 88 4.2 Proximity Services Architectures 90 4.2.1 Non-roaming Architecture 90 4.2.2 Inter-PLMN Architecture 91 4.2.3 Roaming Architecture 91 4.2.4 Description of Functional Entities 93 4.2.5 Interfaces and Protocols 97 4.3 Synchronization 104 4.3.1 LTE Primary and Secondary Synchronization Signals 106 4.3.2 LTE D2D Synchronization 107 4.4 Service Authorization 108 4.5 ProSe Direct Discovery 109 4.5.1 ProSe Direct Discovery Models 110 4.5.2 ProSe Direct Discovery Modes 110 4.5.3 Direct Discovery Procedure for Model A 111 4.5.4 Radio Aspects and Physical Layer Design 112 4.5.5 Radio Resource Allocation for Direct Discovery 112 4.5.6 Inter-frequency ProSe Discovery 113 4.5.7 Announce Procedure (non-roaming) 114 4.5.8 Announce Procedure (roaming) 115 4.5.9 Monitor Procedure (non-roaming) 117 4.5.10 Monitor Procedure (roaming) 118 4.5.11 Match Procedure (non-roaming) 120 4.5.12 Match Procedure (roaming) 121 4.5.13 Direct Discovery Procedure for Model B 123 4.6 ProSe Direct Communication 123 4.6.1 Radio Aspects and Physical Layer Design 124 4.6.2 Radio Resource Allocation for Direct Communication 125 4.6.3 Inter-frequency ProSe Communication 127 4.6.4 IP Address Allocation 128 4.6.5 One-to-Many Communication (Transmission) 128 4.6.6 One-to-Many Communication (Reception) 130 4.6.7 Direct Communication via ProSe Relay 130 4.7 EPC-Level ProSe Discovery 131 4.7.1 EPC-Level ProSe Discovery Procedure 132 4.7.2 User Equipment Registration 133 4.7.3 Application Registration 134 4.8 Other Essential Functions for Proximity Services 135 4.8.1 Provisioning 135 4.8.2 Subscription Data 136 4.8.3 Security 136 4.8.4 Charging 138 4.8.5 ProSe-Related Identifiers 140 4.8.6 Illustration for Match Event 144 4.9 Deployment Scenarios 146 4.9.1 ProSe Direct Discovery 146 4.9.2 ProSe Direct Communication 147 4.10 Public Safety Use Cases 147 4.10.1 Use Cases for ProSe Communication 148 4.10.2 Use Cases for Network to UE Relay 149 4.10.3 Performance Characteristics 149 4.11 Outlook to Enhanced Proximity Services 150 4.12 Terms and Definitions 151 4.12.1 Home PLMN 151 4.12.2 Equivalent Home PLMN 151 4.12.3 Visited PLMN 151 4.12.4 Registered (Serving) PLMN 152 4.12.5 Local PLMN 152 4.12.6 Hybrid Adaptive Repeat and Request 152 4.12.7 Radio Link Control 152 4.12.8 Logical Channel Prioritization 153 4.12.9 System Information 153 4.12.10 OFDM Symbol 154 4.12.11 Dual-Rx UE 154 References 154 5 Group Communication Over LTE 157 5.1 Introduction to Group Communication Services 157 5.2 Group Communication System Enablers for LTE 158 5.3 Principles of Group Communication over LTE 159 5.4 Functional Entities 162 5.4.1 User Equipment 162 5.4.2 GCS AS 162 5.4.3 BM-SC 163 5.4.4 eNB, MME, S-GW, P-GW, PCRF 163 5.5 Interfaces and Protocols 163 5.5.1 MB2 Interface 163 5.5.2 Rx and SGi Interfaces 167 5.6 GCSE Functions 169 5.6.1 Unicast Delivery 169 5.6.2 MBMS Delivery 171 5.6.3 Service Continuity 172 5.6.4 Priority and Preemption 173 5.6.5 MBMS Delivery Status Notification 175 5.7 Establishment of MBMS Delivery 175 5.7.1 Pre-establishment 175 5.7.2 Dynamic Establishment 176 5.8 MBMS Delivery Procedures 179 5.8.1 MBMS Delivery Modification 179 5.8.2 MBMS Delivery Deactivation 181 5.8.3 TMGI Management 182 5.9 Access Control 183 5.10 Mission Critical Push To Talk 185 5.10.1 MCPTT Service Description 186 5.10.2 MCPTT Call Types 187 5.10.3 MCPTT Priorities 187 5.10.4 Shareable MCPTT Devices 188 5.10.5 On and Off Network Mode of Operation 188 5.10.6 Interworking with legacy PTT Systems 189 References 189 6 Summary and Outlook 191 6.1 Role of LTE 191 6.2 Public Safety Features 192 6.3 LTE for Public Safety 193 6.4 Outlook 196 References 196 Appendix A 197 A.1 Call Flows 197 A.1.1 Attach 197 A.1.2 Detach 200 A.1.3 Tracking Area Update 201 A.1.4 Paging 202 A.1.5 Service Request 203 A.1.6 X2-Based Handover 205 A.1.7 S1-Based Handover 206 A.1.8 MBMS Session Start 210 A.1.9 MBMS Session Stop 212 A.1.10 MBMS Session Update 213 A.1.11 UE-requested PDN Connectivity 214 A.1.12 Dedicated Bearer Context Activation 216 A.2 3GPP Reference Points 217 References 221 Index 223 …”

Tabla de Contenidos: “…3 The Impact of Distributed Computing on Data Analytics and Business Insights -- 3.1 Introduction -- 3.1.1 Role of Distributed Computing in Data Analytics -- 3.1.2 Importance of Business Insights in Decision-Making -- 3.1.3 Overview of Distributed Computing and Data Analytics -- 3.2 Distributed Computing and Data Analytics -- 3.2.1 Distributed Computing -- 3.2.2 Overview of Data Analytics -- 3.2.3 Distributed Computing in Data Analytics -- 3.3 Business Insights and Decision-Making -- 3.3.1 Definition of Business Insights -- 3.3.2 Importance of Business Insights in Decision-Making -- 3.3.3 Applications of Business Insights and their Impact -- 3.4 Challenges and Limitations -- 3.5 The Impact of Distributed Computing on Data Analytics -- 3.5.1 Distributed Computing in Improvising Data Analytics -- 3.6 Conclusion -- References -- 4 Machine Learning and Its Application in Educational Area -- 4.1 Introduction -- 4.2 Previous Work -- 4.3 Technique -- 4.3.1 Machine Learning -- 4.3.2 Supervised Learning -- 4.3.3 Unsupervised Learning -- 4.4 Analysis of Data -- 4.5 Educational Data Mining -- 4.6 Hadoop Approach -- 4.7 Artificial Neural Network (ANN) -- 4.8 Decision Tree -- 4.9 Results/Discussion -- 4.9.1 Personalized Learning Through Adaptive Learning -- 4.10 Increasing Efficiency Using Learning Analytics -- 4.11 Predictive Analysis for Better Assessment Evaluation -- 4.12 Future Scope -- 4.13 Conclusion -- References -- 5 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions -- 5.1 Introduction -- 5.2 Distributed Systems -- 5.3 Literature Review -- 5.4 Threats to Distributed Systems Security -- 5.4.1 Hacking -- 5.4.2 Malware -- 5.4.3 Denial of Service (DoS) Attacks -- 5.4.4 Man-in-the-Middle (MitM) Attacks -- 5.4.5 Advanced Persistent Threats (APTs) -- 5.4.6 Insider Threats -- 5.4.7 Phishing -- 5.4.8 Ransomware…”

Tabla de Contenidos: “…Promising approaches in edge healthcare system -- 4.3.1. Software adaptable network -- 4.3.2. Self-learning healthcare IoT -- 4.3.3. …”

Tabla de Contenidos: “…5.2.1 Process and Principles 52 -- 5.3 Cellular Standards and Operators 55 -- 5.3.1 Government and Quality Certifi cates 56 -- 5.3.1.1 Mandatory 56 -- 5.3.2 Optional 58 -- 5.4 Summary 61 -- Chapter 6: What Quality Means 63 -- 6.1 Quality Culture 64 -- 6.2 Quality Standards 66 -- 6.2.1 ISO 9000 66 -- 6.2.2 Six Sigma 67 -- 6.3 Quality in a Product 68 -- 6.3.1 Quality in Manufacturing 69 -- 6.3.2 Quality in Service 70 -- 6.3.3 Getting Better Quality 71 -- 6.4 Quality in the S60 Platform and S60-based Phones 73 -- 6.4.1 Choosing the Process 73 -- 6.4.2 The Waterfall Process 73 -- 6.4.3 The Incremental Process 74 -- 6.4.4 Agile Software Development 75 -- 6.4.5 Concurrent Engineering 76 -- 6.4.6 Other Things to Consider 77 -- 6.5 Summary 78 -- Chapter 7: Stumbling Blocks 79 -- 7.1 Stumbling Blocks General to All Projects 79 -- 7.2 Stumbling Blocks Specifi c to a Software Program 80 -- 7.2.1 Contradictory, Overwhelming or Too Many Requirements 83 -- 7.2.2 Unstable, Incomplete and Informal Requirements 83 -- 7.2.3 Poor Planning and Project Management 84 -- 7.2.4 Unrealistic Estimates and Unjustifi ed Expectations 84 -- 7.2.5 Lack of Knowledge on New Technologies 84 -- 7.2.6 Lack of Proper Risk Management 85 -- 7.2.7 Lack of Organisational Integrity 86 -- 7.3 Ways to Avoid Stumbling Blocks in a Software Program 87 -- 7.3.1 Overview of COCOMO 87 -- 7.4 Stumbling Blocks Specifi c to a S60-based Phone Program 88 -- 7.4.1 Program-level Risks 89 -- 7.4.1.1 Integration Competence 89 -- 7.4.1.2 Testing Environment 90 -- 7.4.1.3 Amount of Differentiation 90 -- 7.4.1.4 Baseline Selection 91 -- 7.4.1.5 Defect Fixing Order 91 -- 7.4.2 Component-level Risks 91 -- 7.4.2.1 Coding Style and Culture 92 -- 7.4.3 Fixing Speed 94 -- 7.4.3.1 Testing Activities and Extent 94 -- 7.4.3.2 Insuffi ciency of the Specifi cation 96 -- 7.4.3.3 Adaptation Layer Implementation 96 -- 7.5 Provider Components 97 -- 7.6 Summary 97 -- Chapter 8: Platform Testing versus Platform-based Phone Testing 99.…”

Tabla de Contenidos: “…Storage analysis and tuning -- 7.1 Data placement and design -- 7.1.1 AIX I/O stack -- 7.1.2 Physical disk and disk subsystem -- 7.1.3 Device drivers and adapters -- 7.1.4 Volume groups and logical volumes -- 7.1.5 VMM and direct I/O -- 7.1.6 JFS/JFS2 file systems -- 7.2 Monitoring -- 7.2.1 The iostat command -- 7.2.2 The filemon command -- 7.2.3 The fileplace command -- 7.2.4 The lslv, lspv, and lsvg commands -- 7.2.5 The lvmstat command -- 7.2.6 The sar -d command -- 7.3 Tuning -- 7.3.1 The lsdev, rmdev and mkdev commands -- 7.3.2 The lscfg, lsattr, and chdev commands -- 7.3.3 The ioo command -- 7.3.4 The lvmo command -- 7.3.5 The vmo command -- Part 3 Case studies and miscellaneous tools -- Chapter 8. …”

Tabla de Contenidos: “…13.1 Introduction 184 -- 13.2 CoMP Concept 184 -- 13.3 Radio Network Architecture Options 187 -- 13.4 Downlink CoMP Transmission 190 -- 13.4.1 Enablers for Downlink CoMP in 3GPP 191 -- 13.4.2 Signal Processing and RRM for CoMP 192 -- 13.4.3 Other Implementation Aspects 194 -- 13.5 Uplink CoMP Reception 194 -- 13.6 Downlink CoMP Gains 198 -- 13.7 Uplink CoMP Gains 201 -- 13.8 CoMP Field Trials 204 -- 13.9 Summary 205 -- References 205 -- 14 HSPA Evolution 206 /Harri Holma and Karri Ranta-aho -- 14.1 Introduction 206 -- 14.2 Multicarrier Evolution 206 -- 14.3 Multiantenna Evolution 208 -- 14.4 Multiflow Transmission 211 -- 14.5 Small Packet Efficiency 213 -- 14.6 Voice Evolution 215 -- 14.6.1 Adaptive Multirate Wideband (AMR-WB) Voice Codec 215 -- 14.6.2 Voice Over IP (VoIP) 215 -- 14.6.3 CS Voice Over HSPA (CSoHSPA) 215 -- 14.6.4 Single Radio Voice Call Continuity (SR-VCC) 215 -- 14.7 Advanced Receivers 215 -- 14.7.1 Advanced UE Receivers 215 -- 14.7.2 Advanced NodeB Receivers 216 -- 14.8 Flat Architecture 217 -- 14.9 LTE Interworking 218 -- 14.10 Summary 218 -- References 219 -- Index 221.…”

Tabla de Contenidos: “…9.6.2 MNO Certification -- 10 Smart Cards in M2M Communication -- 10.1 Introduction -- 10.2 Security and Privacy Issues in M2M Communication -- 10.3 The Grounds for Hardware-Based Security Solutions -- 10.4 Independent Secure Elements and Trusted Environments -- 10.4.1 Trusted Environments in M2M Devices -- 10.4.2 Trusting Unknown Devices: The Need for Security Certification -- 10.4.3 Advantages of the Smart Card Model -- 10.5 Specific Smart Card Properties for M2M Environments -- 10.5.1 Removable Smart Cards versus Embedded Secure Elements -- 10.5.2 UICC Resistance to Environmental Constraints -- 10.5.3 Adapting the Card Application Toolkit to Unattended Devices -- 10.5.4 Reaching UICC Peripheral Devices with Toolkit Commands -- 10.5.5 Confidential Remote Management of Third-Party Applications -- 10.6 Smart Card Future Evolutions in M2M Environments -- 10.6.1 UICC-Based M2M Service Identity Module Application -- 10.6.2 Internet Protocol Integration of the UICC -- 10.7 Remote Administration of M2M Secure Elements -- 10.7.1 Overview -- 10.7.2 Late Personalization of Subscription -- 10.7.3 Remote Management of Subscriptions on the Field -- References -- Part III BOOK CONCLUSIONS AND FUTURE VISION -- 11 Conclusions -- Index…”

Tabla de Contenidos: “…11.3 Attack Prevention and System Transmission Zeros -- 11.3.1 Zero Dynamics and Transmission Zeros -- 11.3.2 Attack Prevention -- 11.4 Detection of Attacks -- 11.5 Identi cation of Attacks -- 11.6 System Security and Sensor/Actuator Placement -- 11.6.1 Some Properties of the Kalman Filter -- 11.6.2 Sensor Placements -- 11.6.3 Actuator Placements -- 11.7 Concluding Remarks -- 11.8 Bibliographic Notes -- Appendix 11.A -- 11.A.1 Proof of Theorem 11.7 -- References -- 12 Some Related Issues -- 12.1 Introduction -- 12.2 Cooperation Over Communications -- 12.2.1 Time Synchronization -- 12.2.2 State Consensus -- Fixed Topology Case -- Time-Varying Topology Case -- 12.3 Adaptive Mean-Field Games for Large Population Coupled ARX Systems With Unknown Coupling Strength -- Introduction -- Problem Formulation -- Control Design -- Closed-Loop Analysis -- 12.4 Other Topics and Theoretical Challenges -- 12.5 Bibliographic Notes -- Appendix 12.A -- 12.A.1 Proof of Theorem 12.5 -- References -- Index -- Back Cover…”

Tabla de Contenidos: “…Appendix F Extension: Effort Monitoring and Worker Termination -- References -- References for Appendices -- 4 Heterogeneous Agents in the Macroeconomy: Reduced-Heterogeneity Representations -- 1 Introduction -- 2 The Economic Problem and Notations -- 2.1 The Model -- 2.2 Equilibrium De nition and Intuition to Reduce the State Space -- 3 No-Trade Equilibria -- 3.1 No-Trade Equilibria with Transitory Shocks -- 3.1.1 Assumptions -- 3.2 Preserving Time-Varying Precautionary Saving in the Linear Model -- 3.3 No-Trade Equilibrium with Permanent Shocks -- 4 Small-Heterogeneity Models -- 4.1 Models Based on Assumptions About Labor Supply -- 4.1.1 Assumptions -- 4.1.2 Equilibrium Structure -- 4.1.3 The System -- 4.1.4 Algorithm: Finding the Value of L -- 4.1.5 Simulations -- 4.1.6 References and Limits -- 4.2 Models Based on Linearity in the Period Utility Function -- 4.2.1 Assumptions -- 4.2.2 Equilibrium Structure -- 4.2.3 Using Reduced Heterogeneity to Model Wealth Inequality over the Business Cycle -- 4.2.4 Other References and Remarks -- 4.3 Models Based on a "Family" Assumption -- 4.3.1 Assumptions -- 4.3.2 Equilibrium Structure -- 4.3.3 Algorithm and Simulations -- 4.3.4 Example of Quantitative Work -- 4.4 Assessment of Small-Heterogeneity Models -- 5 Truncated-History Models -- 5.1 Assumptions -- 5.2 Equilibrium Structure -- 5.3 Equations of the Model -- 5.4 Algorithm for the Steady State -- 5.5 Dynamics -- 5.6 Choosing the Preference Shifters ξeN -- 5.7 Numerical Example -- 6 Optimal Policies -- 7 Comparison with Other Approach Using Perturbation Methods -- 8 Heterogeneous Expectations -- 9 Concluding Remarks -- References -- Part 2 Finance -- 5 Heterogeneous Agent Models in Finance -- 1 Introduction -- 2 HAMs of Single Asset Market in Discrete-Time -- 2.1 Market Mood and Adaptive Behavior -- 2.2 Volatility Clustering: Calibration and Mechanisms…”

Tabla de Contenidos: “…Front Cover -- The Psychology of Learning and Motivation -- Copyright -- Contents -- Contributors -- Chapter One: Automating adaptive control with item-specific learning -- 1. …”

Tabla de Contenidos: “…Fundamental concepts in Process Integration -- 2.1 The need for a unifying technique -- 2.1.1 Similarities between intra- and inter-enterprise integration -- 2.1.2 Summary -- 2.2 Process Integration concepts and notations -- 2.2.1 Collaboration and Interaction -- 2.2.2 Connectors and Adapters -- 2.2.3 Classification of interaction between sub-systems -- 2.3 QoS capabilities framework -- 2.3.1 Operability -- 2.3.2 Availability -- 2.3.3 Federation -- 2.3.4 Performance -- 2.3.5 Security -- 2.3.6 Standards compliance -- 2.3.7 Transactionality -- 2.4 Application patterns for Application Integration -- 2.5 Application patterns for Extended Enterprise -- 2.6 Summary -- Chapter 3. …”