Tabla de Contenidos: “…References 104 -- Part Three SOCIAL ASPECTS OF MOBILE CLOUDS -- 7 Cooperative Principles by Nature 107 -- 7.1 Introduction 107 -- 7.2 Cheetahs and Hyenas 108 -- 7.3 Orca / Killer Whales 109 -- 7.4 Vampire Bats 109 -- 7.5 Monkeys 110 -- 7.6 Prisoner's Dilemma 110 -- 7.7 Conclusion 115 -- References 115 -- 8 Social Mobile Clouds 117 -- 8.1 Introduction 117 -- 8.2 Different Forms of Cooperation 118 -- 8.3 Social Networks and Mobile Clouds 121 -- 8.4 Cooperation in Relaying Networks: A Simple Example 128 -- 8.5 Conclusion 129 -- References 130 -- Part Four GREEN ASPECTS OF MOBILE CLOUDS -- 9 Green Mobile Clouds: Making Mobile Devices More Energy Efficient 133 -- 9.1 Introduction 133 -- 9.2 Cooperative Download 138 -- 9.3 Cooperative Streaming 150 -- 9.4 Comparison of the Different Approaches 153 -- 9.5 Conclusion and Outlook 154 -- 9.6 Energy Gain for the Network Operator 156 -- 9.7 Conclusion 157 -- References 157 -- Part Five APPLICATION OF MOBILE CLOUDS -- 10 Mobile Clouds Applications 161 -- 10.1 Introduction 161 -- 10.2 Forced Cooperation / Overlay Network 162 -- 10.3 Technology / enabled Cooperation / Overlay Network 165 -- 10.4 Socially / enabled Cooperation / Overlay Network 166 -- 10.5 Altruism / Overlay Network 167 -- 10.6 Forced Cooperation / Direct Mobile Cloud 167 -- 10.7 Technically / enabled Cooperation / Direct Mobile Cloud 169 -- 10.8 Socially / enabled Cooperation / Direct Mobile Cloud 173 -- 10.9 Altruism: Direct Mobile Cloud 174 -- 10.10 Industrial Activities 175 -- 10.11 Conclusion 176 -- References 176 -- Part Six MOBILE CLOUDS: PROSPECTS AND CONCLUSIONS -- 11 Visions and Prospects 181 -- 11.1 Some Insights on the Future Developments of Mobile Clouds 181 -- 11.2 Mobile Clouds and Related Technology Developments 184 -- 11.3 Promising Novel Applications of Mobile Clouds 187 -- 11.4 Resource Sharing as one of the Pillars of Social Interaction: the Birth of Shareconomy 189 -- References 192 -- Index 193.…”

“…It covers all the important topics such as DTV, IBOC ('HD Radio'), cable and satellite radio and television, digital audio and video standards, broadcast studio and remote facilities, radio frequency coding and modulation, video servers, editing, electronic newsrooms, surround sound, streaming media, broadcast regulation and more. Important updates! …”

“…You'll learn how to use calling and texting features, take and share photos, enjoy streaming music and video, and much more. Packed with full-color illustrations, this engaging book covers everything from getting started to advanced features and troubleshooting. …”

Tabla de Contenidos: “…WORKING WITH PHOTOS SUMMARYCONCLUSION; Lesson 8: Working with Sound; LESSON 8; STREAMING AND EVENT SOUNDS; FILE FORMATS AND SETTINGS; WORKING WITH SOUND SUMMARY; CONCLUSION; Lesson 9: Working with Text; LESSON 9; WORKING WITH TEXT SUMMARY; CONCLUSION; Lesson 10: Building Slideshows with Sound; LESSON 10; BUILDING SLIDESHOWS WITH SOUND SUMMARY; CONCLUSION; Part III: Case Studies; Case Study 1: washingtonpost.com Sniper Shootings; THE MASTER MAP; INFORMATION ABOUT THE VICTIMS; TECH TIP: A DRAGGABLE FLOATING WINDOW; PHOTO GALLERIES; GRAPHICS FROM THE NEWSPAPER; MANAGING INFORMATION INTERACTIVELY…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright and Credit -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction to Jakarta EE -- Introduction to Jakarta EE -- Contributing to Jakarta EE -- Jakarta EE APIs -- One standard, multiple implementations -- Jakarta EE, Java EE, J2EE, and the Spring Framework -- Summary -- Chapter 2: Contexts and Dependency Injection -- Named beans -- Dependency injection -- Qualifiers -- CDI bean scopes -- CDI events -- Firing CDI events -- Handling CDI events -- Asynchronous events -- Event ordering -- CDI Lite -- Summary -- Chapter 3: Jakarta RESTful Web Services -- Introduction to RESTful web services -- Developing a simple RESTful web service -- Configuring the REST resources path for our application -- Developing a RESTful web service client -- Seamlessly converting between Java and JSON -- Query and path parameters -- Query parameters -- Path parameters -- Server-sent events -- Testing server-sent events -- Developing a server-sent events client -- JavaScript server-sent events client -- Summary -- Chapter 4: JSON Processing and JSON Binding -- Jakarta JSON Processing -- The JSON Processing Model API -- The JSON Processing Streaming API -- Jakarta JSON Binding -- Populating Java objects from JSON with JSON Binding -- Generating JSON data from Java objects with JSON Binding -- Summary -- Chapter 5: Microservices Development with Jakarta EE -- An introduction to microservices -- The advantages of a microservices architecture -- The disadvantages of a microservices architecture -- Microservices and Jakarta EE -- Developing microservices using Jakarta EE -- Developing microservices client code -- The controller service -- The persistence service -- Summary -- Chapter 6: Jakarta Faces -- Introduction to Jakarta Faces -- Facelets -- Optional faces-config.xml -- Standard resource locations…”

Tabla de Contenidos: “…Configuring the project connection in Unity -- Creating a chat window -- Copying the essentials -- Getting started with Photon Voice -- Introduction to the Photon Voice SDK -- Creating a Photon Voice project -- Installing the Photon Voice SDK -- Configuring the project connection in Unity -- Transmitting your voice to the network -- Summary -- Part 3: Adding Fun Features Before Compiling -- Chapter 11: Creating an NPC That Allows Us to Change Our Appearance -- Technical requirements -- Choosing an aspect -- Bringing the NPC to life -- Triggering the NPC when we are close -- Showing the available avatars in a window -- Persisting the new appearance -- Summary -- Chapter 12: Streaming Video Like a Cinema -- Technical requirements -- Introducing the VideoPlayer class -- Designing our screen -- Playing videos -- Online reproduction -- Local reproduction -- Summary -- Chapter 13: Adding Compatibility for the Meta Quest 2 -- Technical requirements -- Understanding what Meta Quest is -- Technical requirements for the VR goggles -- Cost of the Meta Quest 2 goggles -- Getting started with the Meta Quest SDK -- Preparation of the glasses -- Developer Mode -- Configuring our project -- Adding VR compatibility to our project -- Testing in Meta Quest 2 -- Preparing the other scenes -- Summary -- Chapter 14: Distributing -- Technical requirements -- Optimizing textures -- Compiling for different platforms -- Windows, Mac, and Linux -- Android -- iOS -- Summary -- Next steps -- Index -- Other Books You May Enjoy…”

“…You'll learn how to: Use modern data management and data engineering techniques Understand how ACID transactions bring reliability to data lakes at scale Run streaming and batch jobs against your data lake concurrently Execute update, delete, and merge commands against your data lake Use time travel to roll back and examine previous data versions Build a streaming data quality pipeline following the medallion architecture…”

Tabla de Contenidos: “…3.2.5 VST3 and the GUID -- 3.2.6 VST3 Plugin Class Factory -- 3.3 Description: Plugin Description Strings -- 3.4 Description: Plugin Options/Features -- 3.4.1 Side Chain Input -- 3.4.2 Latency -- 3.4.3 Tail Time -- 3.4.4 Custom GUI -- 3.4.5 Factory Presets and State Save/Load -- 3.4.6 VST3 Support for 64-bit Audio -- 3.5 Initialization: Defining Plugin Parameters -- 3.5.1 Thread-Safe Parameter Access -- 3.5.2 Initialization: Defining Plugin Channel I/O Support -- 3.5.3 Initialization: Channel Counts and Sample Rate Information -- 3.6 The Buffer Process Cycle -- 3.6.1 Processing: Updating Plugin Parameters From GUI Controls -- 3.6.2 Processing: Resetting the Algorithm and Preparing for Streaming -- 3.6.3 Processing: Accessing the Audio Buffers -- 3.6.4 Processing: Writing Output Parameters -- 3.6.5 Processing: VST3 Soft Bypass -- 3.7 Destruction/Termination -- 3.8 Retrieving VST3 Host Information -- 3.9 Validating Your Plugin -- 3.10 Using ASPiK to Create VST3 Plugins -- 3.11 Bibliography -- Chapter 4: AU Programming Guide -- 4.1 Setting Up the AU SDK -- 4.1.1 AU Sample Projects -- 4.1.2 AU Documentation -- 4.2 AU Architecture and Anatomy -- 4.2.1 AU Base Classes -- 4.2.2 MacOS Bundle ID -- 4.2.3 AU Programming Notes -- 4.3 Description: Plugin Description Strings -- 4.4 Description: Plugin Options/Features -- 4.4.1 Side Chain Input -- 4.4.2 Latency -- 4.4.3 Tail Time -- 4.4.4 Custom GUI -- 4.4.5 Factory Presets and State Save/Load -- 4.5 Initialization: Defining Plugin Parameters -- 4.5.1 Thread-Safe Parameter Access -- 4.5.2 Initialization: Defining Plugin Channel I/O Support -- 4.5.3 Initialization: Channel Counts and Sample Rate Information -- 4.6 The Buffer Process Cycle -- 4.6.1 Processing: Updating Plugin Parameters From GUI Controls -- 4.6.2 Processing: Resetting the Algorithm and Preparing for Streaming…”

Tabla de Contenidos: “…3 AnerisLang -- 4 The Aneris Logic -- 4.1 The Program Logic -- 4.2 Adequacy for Aneris -- 5 Case Study 1: A Load Balancer -- 6 Case Study 2: Two-Phase Commit -- 6.1 A Replicated Log -- 7 Related Work -- 8 Conclusion -- Acknowledgments -- Bibliography -- Continualization of Probabilistic Programs With Correction -- 1 Introduction -- 2 Example -- 2.1 Continualization -- 2.2 Parameter Synthesis -- 2.3 Improving Inference -- 3 Syntax and Semantics of Programs -- 3.1 Source Language Syntax -- 3.2 Semantics -- 4 Continualizing Probabilistic Programs -- 4.1 Overview of the Algorithm -- 4.2 Distribution and Expression Transformations -- 4.3 Inuence Analysis and Control-Flow Correction of Predicates -- 4.4 Bringing it all together: Full Program Transformations -- 5 Synthesis of Continuity Correction Parameters -- 5.1 Optimization Framework -- 5.2 Optimization Algorithm -- 6 Methodology -- 6.1 Benchmarks -- 6.2 Experimental Setup -- 7 Evaluation -- 7.1 RQ1: Benefits of Continualization -- 7.2 RQ2: Impact of Smoothing Factors -- 7.3 RQ3: Extending Results to Other Systems -- 8 Related Work -- 9 Conclusion -- References -- Semantic Foundations for Deterministic Dataflow and Stream Processing -- 1 Introduction -- 2 Monoids as Types for Streams -- 3 Stream Transductions -- 4 Model of Computation -- 5 Combinators for Deterministic Dataow -- 6 Algebraic Reasoning for Optimizing Transformations -- 7 Related Work -- 8 Conclusion -- References -- Connecting Higher-Order Separation Logic to a First-Order Outside World -- 1 Introduction -- 2 Background: Ghost State in Separation Logic -- 2.1 Ghost Algebras -- 3 External State as Ghost State -- 4 Verifying C Programs with I/O in VST -- 5 Soundness of External-State Reasoning -- 6 Connecting VST to CertiKOS -- 6.1 CertiKOS Specifications -- 6.2 Relating OS and User State -- 6.3 Soundness of VST + CertiKOS…”

Tabla de Contenidos:

Tabla de Contenidos: “…PROGRAMACIÓN CONCURRENTE AVANZADA -- PROGRAMACIÓN CONCURRENTE EN SWING -- DESARROLLO DE UN GESTOR DE DESCARGAS -- ESTRUCTURAS DE DATOS SINCRONIZADAS Y CONCURRENTES DEL API DE JAVA -- EJECUTORES Y FLOTAS DE HILOS -- PROGRAMACIÓN CONCURRENTE CON FORK/JOIN -- DESARROLLO DE UN JUEGO: SUDOKU -- PROGRAMACIÓN CONCURRENTE CON STREAMS -- PROGRAMACIÓN CONCURRENTE ASÍNCRONA CON COMPLETABLEFUTURE -- BIBLIOGRAFÍA -- MATERIAL ADICIONAL…”

Tabla de Contenidos: “…Analysis of Symbolic Data -- Dependencies and Variation Components of Symbolic Interval-Valued Data -- On the Analysis of Symbolic Data -- Symbolic Analysis to Learn Evolving CyberTraffic -- A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance -- An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval -- 3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling -- Clustering and Validation of Interval Data -- Building Symbolic Objects from Data Streams -- Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data -- Symbolic Markov Chains -- Quality Issues in Symbolic Data Analysis -- Dynamic Clustering of Histogram Data: Using the Right Metric -- Clustering Methods -- Beyond the Pyramids: Rigid Clustering Systems -- Indirect Blockmodeling of 3-Way Networks -- Clustering Methods: A History of k-Means Algorithms -- Overlapping Clustering in a Graph Using k-Means and Application to Protein Interactions Networks -- Species Clustering via Classical and Interval Data Representation -- Looking for High Density Zones in a Graph -- Block Bernoulli Parsimonious Clustering Models -- Cluster Analysis Based on Posets -- Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR -- Partitioning by Particle Swarm Optimization -- Conceptual Analysis of Data -- Concepts of a Discrete Random Variable -- Mining Description Logics Concepts with Relational Concept Analysis -- Representation of Concept Description by Multivalued Taxonomic Preordonance Variables -- Recent Advances in Conceptual Clustering: CLUSTER3 -- Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies -- Consensus Methods -- Average Consensus and Infinite Norm Consensus : Two Methods for Ultrametric Trees -- Consensus from Frequent Groupings -- Consensus of Star Tree Hypergraphs -- Data Analysis, Data Mining, and KDD -- Knowledge Management in Environmental Sciences with : Application to Systematics of Corals of the Mascarene Archipelago -- Unsupervised Learning Informational Limit in Case of Sparsely Described Examples -- Data Analysis and Operations Research -- Reduction of Redundant Rules in Statistical Implicative Analysis -- Mining Personal Banking Data to Detect Fraud -- Finding Rules in Data -- Mining Biological Data Using Pyramids -- Association Rules for Categorical and Tree Data -- Induction Graphs for Data Mining -- Dissimilarities: Structures and Indices -- Clustering of Molecules: Influence of the Similarity Measures -- Group Average Representations in Euclidean Distance Cones -- On Lower-Maximal Paired-Ultrametrics -- A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities -- One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures -- Adaptive Dissimilarity Index for Gene Expression Profiles Classification -- Lower (Anti-)Robinson Rank Representations for Symmetric Proximity Matrices -- Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. …”

Tabla de Contenidos: “…6.9 Conclusion, 144 -- References, 145 -- 7 Nonstationary Stream Data Learning with Imbalanced Class Distribution 151 -- Sheng Chen and Haibo He -- 7.1 Introduction, 152 -- 7.2 Preliminaries, 154 -- 7.3 Algorithms, 157 -- 7.4 Simulation, 167 -- 7.5 Conclusion, 182 -- 7.6 Acknowledgments, 183 -- References, 184 -- 8 Assessment Metrics for Imbalanced Learning 187 -- Nathalie Japkowicz -- 8.1 Introduction, 187 -- 8.2 A Review of Evaluation Metric Families and their Applicability -- to the Class Imbalance Problem, 189 -- 8.3 Threshold Metrics: Multiple- Versus Single-Class Focus, 190 -- 8.4 Ranking Methods and Metrics: Taking Uncertainty into Consideration, 196 -- 8.5 Conclusion, 204 -- 8.6 Acknowledgments, 205 -- References, 205 -- Index 207.…”

Tabla de Contenidos: “…-- Breaking Down Windows Commands by Investigation Processes -- Windows CLI-starting a live investigation -- Windows CLI-collecting vital system information -- Capture important system information -- Basic disk information -- Basic network information -- Windows CLI-collecting volatile evidence -- Windows CLI-running processes and services -- Windows CLI-active network activities -- Windows CLI-event logs evidence capture -- Windows CLI-collecting static evidence and quick searching -- Alternate data streams -- Windows CLI-ending a live investigation -- Chapter 3 Review -- Chapter 3 Summary Questions -- Additional Resources -- Chapter 4: Operating the Proactive Incident Response Command Shell -- Introduction -- PIRCS Operational Considerations…”

Tabla de Contenidos: “…1.14 checkfiles -Check That a Directory Contains Certain FilesHow It Works; Usage; The Script; 1.15 zpad-Pad a Number with Leading Zeroes ; How It Works; Usage; The Script; 1.16 cleanup-Remove Temporary Files and Reset Terminal on Exit ; How It Works; Usage; The Script; The Unix Utilities; cat: Concatenate Files to the Standard Output ; sed: A Text Stream Editor ; awk: Pattern Scanning and Processing Language ; grep: Print Lines Matching a Regular Expression ; date: Show or Set the System Date ; tr: A Character Translation Utility ; wc: Count Characters,Words, and Lines in a File…”

Tabla de Contenidos: “…Pattern 5.2 -- Outcome Hypotheses -- Pattern 5.3 -- Intelligent Flow -- Pattern 5.4 -- Stop Starting, Start Finishing -- Chapter 6 -- Build the Thing Right -- Intelligent Control -- Antipattern 6.1 -- Lack of Safety within Safety -- Antipattern 6.2 -- Role-Based Safety Silos -- Antipattern 6.3 -- Fixed Mindset to Risk -- Pattern 6.1 -- Safety within Safety -- Pattern 6.2 -- Organize Safety by Value Stream -- Pattern 6.3 -- Intelligent Control -- Chapter 7 -- Continuous Attention to Technical Excellence -- Antipattern 7.1 -- Going Faster Leads to Going Slower -- Antipattern 7.2 -- Agile Hollow Shell…”

Tabla de Contenidos: “…Review QuestionsChapter 3 Encryption Ciphers and Methods; Encryption Basics; Symmetric and Asymmetric Algorithms; Stream and Block Ciphers; RC4/ARC4; RC5; DES; 3DES; AES; WLAN Encryption Methods; WEP; WEP MPDU; TKIP; TKIP MPDU; CCMP; CCMP MPDU; WPA/WPA2; Future Encryption Methods; Proprietary Layer 2 Implementations; Summary; Exam Essentials; Review Questions; Chapter 4 802.1X/EAP Authentication; WLAN Authentication Overview; AAA; Authentication; Authorization; Accounting; 802.1X; Supplicant; Authenticator; Authentication Server; Supplicant Credentials; Usernames and Passwords…”

Tabla de Contenidos: “…; A Brief History of DVD; Chapter 2 DVD FORMAT SPECIFICATIONS; DVD Forum; DVD Physical Specifications; DVD File System Specifications; DVD-Video; MPEG Video; Multiple Screen Aspect Ratios; Multiple Camera Angles; High Quality, Multiple Channel Audio; Multiple Subpicture Streams; High Quality Still Images; Navigation & Search Functions; System Parameter Registers (SPRM); Regional Coding; Parental Lock Out; Copy Protection…”

Tabla de Contenidos: “…Year FunctionDictionary Object; Error Handling; Err Object; On Error Statement; File System Objects; Drive Object; Drives Collection Object; File Object; Files Collection Object; FileSystemObject Object; Folder Object; Folders Collection Object; TextStream Object; Information Functions; GetLocale Function; IsDate Function; IsEmpty Function; IsNull Function; IsNumeric Function; IsObject Function; Len, LenB Functions; RGB Function; ScriptEngine Function; ScriptEngineBuildVersion Function; ScriptEngineMajorVersion Function; ScriptEngineMinorVersion Function; SetLocale Function; TypeName Function…”

Tabla de Contenidos: “…-- How TCO works -- Recognizing tail-calls -- More upcoming JavaScript features -- Async functions -- Async generators and for-await-of loops -- Pipeline operator -- Partial application -- Summary -- Boosting a Web Server's Performance -- MOD_SPDY and HTTP/2 -- Multiplexed and prioritized streams -- Server pushing -- Header compression -- HTTP/2 -- PHP-FPM and OPCache -- PHP-FPM -- Zend OPcache -- ESI and Varnish Cache -- Edge Side Includes (ESI) -- Varnish Cache -- Client-side caching -- Browser caching -- Content Delivery Networks (CDNs) -- Other Faster Web tools -- Summary -- References -- Going Beyond Performance -- Clocked and perceived time -- Speed perception -- Reasonable delay and response times…”