“…Les examens par les pairs évaluent la performance du membre considéré, non pas seulement celle de son organisme de coopération pour le développement, et examinent les aspects ayant trait tant à la définition de la politique qu’à sa mise en œuvre. …”

Tabla de Contenidos: “…Macroeconomic indicators and projections""; ""Figure 4. Labour market performance is poor""; ""Figure 5. Labour market unrest has increased""; ""Figure 6. …”

“…Cependant, comment « mieux légiférer » permettra-t-il d’améliorer les perspectives pour une plus forte performance économique et une meilleure qualité de vie, pour promouvoir une croissance pérenne et renforcer la résilience des pays ? …”

Tabla de Contenidos: “…-- SUMMARY -- PART 3 DATABASE AND REPOSITORY ADMINISTRATION -- 10 DATABASE ADMINISTRATION -- DATABASE ADMINISTRATION RESPONSIBILITIES -- PERFORMANCE MONITORING AND TUNING -- SUMMARY -- 11 REPOSITORY ADMINISTRATION -- REPOSITORIES, DATA DICTIONARIES, ENCYCLOPAEDIAS, CATALOGS AND DIRECTORIES -- REPOSITORY FEATURES -- THE REPOSITORY AS A CENTRALISED SOURCE OF INFORMATION -- METADATA MODELS -- SUMMARY -- PART 4 THE DATA MANAGEMENT ENVIRONMENT -- 12 THE USE OF PACKAGED APPLICATION SOFTWARE -- WHAT ARE APPLICATION SOFTWARE PACKAGES? …”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Making a Web Server; Introduction; Setting up a router; Serving static files; Caching content in memory for immediate delivery; Optimizing performance with streaming; Securing against filesystem hacking exploits; Chapter 2: Exploring the HTTP Object; Introduction; Processing POST data; Handling file uploads; Using Node as an HTTP client; Implementing download throttling; Chapter 3: Working with Data Serialization; Introduction; Converting an object to JSON and back again…”

Tabla de Contenidos: “…Scope Change ControlResources; Functional Testing; Capacity and Performance Testing; Training; CHAPTER 5 Controlling: Continuing Risk Management; Executing Continuing Risk Management; Participants; Timetable; Steps; Deliverables; CHAPTER 6 Closure: Risk Knowledge Transfer; Executing Risk Knowledge Transfer; Participants; Timetable; Steps; Deliverables; Risk Knowledgebase and Metadata; Risk Knowledgebase Structure; Risk Knowledgebase Tables; CHAPTER 7 Program Risk Audit; Executing a Program Risk Audit; Participants; Timetable; Steps; Deliverables; Program Risk Audit Evaluation…”

“…To find out whether your participants are applying what they’ve learned on the job, you need a good evaluation strategy—one that connects evaluation to performance, program design, and bottom-line value. …”

Tabla de Contenidos: “…7.4 Incorporating Mobile Services into Cross-Domain Orchestration with SP-SDN 7.5 Summary and Conclusions 8 The Controller Placement Problem in Software-Defined Mobile Networks (SDMN) Hakan Selvi, Selcan Guner, Gurkan Gur, Fatih Alagoz 8.1 Introduction 8.2 SDN and Mobile Networks 8.3 Performance Objectives for SDMN Controller Placement 8.4 Controller Placement Problem (CPP) 8.5 Conclusion 9 Technology Evolution in Mobile Networks - Case of Open IaaS-cloud Platforms Antti Tolonen, Sakari Luukkainen 9.1 Introduction 9.2 Generic Technology Evolution 9.3 Study Framework 9.4 Overview on Cloud Computing 9.5 Example Platform: OpenStack 9.6 Case Analysis 9.7 Discussion 9.8 Chapter Summary Part III : Traffic Transport and Network Management 10 Mobile Network Function and Service Delivery Virtualization and Orchestration Peter Bosch, Alessandro Duminuco, Jeff Napper, Louis (Sam) Samuel, Paul Polakos 10.1 Introduction 10.2 Network Function Virtualization (NFV) 10.3 Software Defined Networking (SDN) 10.4 The Mobility use case 10.5 Virtual networking in data centers 10.6 Summary 11 Survey of Traffic Management in Software-Defined Mobile Networks Zoltan Faigl, Laszlo Bokor 11.1 Chapter Overview 11.2 Traffic management in mobile networks 11.3 QoS enforcement and policy control in 3G/4G networks 11.4 Traffic management in software-defined mobile networks 11.5 Application-layer traffic optimization in software-defined mobile networks 11.6 Conclusions 12 Software Defined Networks for mobile application services Ram Gopal Lakshmi Narayanan 12.1 Chapter Overview 12.2 Overview of 3GPP Network Architecture 12.3 Wireless network architecture evolution towards NFV and SDN 12.4 NFV/SDN Service Chaining 12.5 Open research and further study 13 Load Balancing in Software Defined Mobile Networks Ijaz Ahmad, Suneth Namal, Mika Ylianttila, Andrei Gurtov 13.1 Introduction 13.2 Load Balancing in SDMN 13.3 Future Directions and Challenges for Load-Balancing Technologies Part IV : Resource and Mobility Management 14 QoE Management Framework for Internet Services in SDN enabled mobile networks Dipl.…”

“…Further, it explains IoT systems and hands-on training modules, implementation, and execution of IoT Systems.Features:Presents exclusive material on application of IoT in mechanical engineering.Combines theory and practice including relevant terminologies and hands-on.Emphasis on use of IoT to streamline operations, reduce costs, and increased profits.Focusses on development and implementation of Raspberry Pi and Arduino based IoT systems.Illustrates use IoT data to improve performance of robots, machines, and systems.This book aims at Researchers, Graduate students in Mechanical Engineering, Computer Programming, Automobile, Robotics, and Industry 4.0/automation…”

“…The main chapters answer important questions about economic and social rights performance around the world by emphasizing the obstacles that prevent governments from fulfilling their obligations. …”

“…On an organisational level, the interactions between media and organisations, such as political parties, NGOs, businesses and brands, shape organisations' reputation, legitimacy, trust and (financial) performance, as well as individuals' consumer, political, social and health behaviours. …”

“…The shortage of skills in the workforce is one of the major problems facing enterprises today.This book explores the impact of the 21st-century 4Cs skills gap in organizations and how it affects their performance, innovation, and competitiveness…”

Tabla de Contenidos: “…Organizational Models and Assumptions -- Stovepipe Structure -- A Holistic Customer-Based Model -- Performance from a Market Perspective -- Expanding the Model to Channel Management -- Choosing Your Customers -- 4. …”

Tabla de Contenidos: “…Industrial Papers (Invited) -- Data Mining as an Automated Service -- Trends and Challenges in the Industrial Applications of KDD -- Stream Mining I -- Finding Event-Oriented Patterns in Long Temporal Sequences -- Mining Frequent Episodes for Relating Financial Events and Stock Trends -- Graph Mining -- An Efficient Algorithm of Frequent Connected Subgraph Extraction -- Classifier Construction by Graph-Based Induction for Graph-Structured Data -- Clustering I -- Comparison of the Performance of Center-Based Clustering Algorithms -- Automatic Extraction of Clusters from Hierarchical Clustering Representations -- Text Mining -- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information -- Extracting Shared Topics of Multiple Documents -- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition -- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data -- Bio Mining -- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules -- Predicting Protein Structural Class from Closed Protein Sequences -- Learning Rules to Extract Protein Interactions from Biomedical Text -- Predicting Protein Interactions in Human by Homologous Interactions in Yeast -- Web Mining -- Mining the Customer’s Up-To-Moment Preferences for E-commerce Recommendation -- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules -- A Markovian Approach for Web User Profiling and Clustering -- Extracting User Interests from Bookmarks on the Web -- Stream Mining II -- Mining Frequent Instances on Workflows -- Real Time Video Data Mining for Surveillance Video Streams -- Distinguishing Causal and Acausal Temporal Relations -- Bayesian Networks -- Online Bayes Point Machines -- Exploiting Hierarchical Domain Values for Bayesian Learning -- A New Restricted Bayesian Network Classifier -- Clustering II -- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets -- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus -- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data -- Association Rules I -- Enhancing SWF for Incremental Association Mining by Itemset Maintenance -- Reducing Rule Covers with Deterministic Error Bounds -- Evolutionary Approach for Mining Association Rules on Dynamic Databases -- Semi-structured Data Mining -- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining -- An Integrated System of Mining HTML Texts and Filtering Structured Documents -- A New Sequential Mining Approach to XML Document Similarity Computation -- Classification I -- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm -- Fast Pattern Selection for Support Vector Classifiers -- Averaged Boosting: A Noise-Robust Ensemble Method -- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule -- Data Analysis -- HOT: Hypergraph-Based Outlier Test for Categorical Data -- A Method for Aggregating Partitions, Applications in K.D.D. -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data -- Association Rules II -- Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining -- Mining Open Source Software (OSS) Data Using Association Rules Network -- Parallel FP-Growth on PC Cluster -- Feature Selection -- Active Feature Selection Using Classes -- Electricity Based External Similarity of Categorical Attributes -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach -- Stream Mining III -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach -- When to Update the Sequential Patterns of Stream Data? …”

“…You'll learn how to add printers and new keyboards, boost your PC's performance and increase memory, improve power consumption, rev up your multimedia capacity, and much more. …”

Tabla de Contenidos: “…-- Collaboration to enhance a product experience -- We-commerce -- To infinity and beyond -- Cutting out the corporation -- There's no 'I' in 'we' -- Collective good -- Open source drives collaboration -- The smartest brains are often outside of your organisation -- A problem shared is a problem solved -- The new collaborative world -- Summary: the power of many -- A new idea for a new era: the Social Business Idea -- MAC: Viva Glam, featuring Lady Gaga -- Levi's: Water<Less -- Marks & Spencer: Plan A -- Nike: Better World -- American Express: Members Project -- Unilever: Dove Campaign for Real Beauty -- Pepsi: Refresh -- The Body Shop -- Groupe Danone: Grameen Danone -- General Electric: Ecomagination -- WWF: Earth Hour -- RED -- Starbucks: Shared planet -- Whole Foods Market: Whole Foods - Whole people - Whole planet -- Sydney Water: Tap -- Summary: Social Business Ideas -- The future: making a decent profit -- The people are revolting -- Past performance is no guarantee of future success -- The biggest barrier…”

“…From product decisions to performance reviews, your ability to participate in discussions about UX has become vital to your company's success as well as your own. …”

Tabla de Contenidos: “…. -- 1.5 Binary versus Nonbinary. -- 1.6 Performance Results of Nonbinary LDPC Codes. -- 1.7 Three-Dimensional (3D) Turbo Codes. -- 1.8 Conclusions. -- 2. …”

Tabla de Contenidos: “…Finding the MedianFinding the Mode and Creating a Frequency Table; Finding the Most Common Elements; Finding the Mode; Creating a Frequency Table; Measuring the Dispersion; Finding the Range of a Set of Numbers; Finding the Variance and Standard Deviation; Calculating the Correlation Between Two Data Sets; Calculating the Correlation Coefficient; High School Grades and Performance on College Admission Tests; Scatter Plots; Reading Data from Files; Reading Data from a Text File; Reading Data from a CSV File; What You Learned; Programming Challenges…”

“…Implementing apps and cloud-based services is much easier with its increased service performance and integrated security features. This book will give you an insight into all the new features that NetScaler VPX? …”