Network hardware Books

Book SynopsisChapter 1 Introductions and Preliminaries.- Chapter 2 AI-Enabled opportunistic Spectrum Sharing.- Chapter 3 AI-Enabled Centralized Spectrum Sharing.- Chapter 4 AI-Enabled Distributed Spectrum Sharing.- Chapter 5: Conclusions.

Read more less

Book Synopsis1. Signals.- 2. Causes of Signal Impairment.- 3. Baseband Signal Processing.- 4. Services.- 5. Quality of Service.- 6. System Outline.- 7. Orbits and Controlled Trajectories.- 8. Radio-Frequency Design Issues.- 9. Analog Transmission.- 10. Digital Transmission.- 11. Bidirectional Circuit Design.- 12. Channel-Access Schemes.- 13. Networking.- 14. System Economics.- 15. Future Developments.- Appendix 1. Radio Regulations Provisions.- I. Introduction.- II. Frequency Allocations.- III. Interference Coordination.- A. Modes of Interference between Space and Terrestrial Services.- B. Modes of Interference between Stations of Different Space Systems in Frequency Bands with Separated Earth-to-Space and Space-to-Earth Allocations.- C. Modes of Interference between ESs of Different Space Systems in Frequency Bands for Bidirectional Use.- IV. Radiation Limitations.- References.- Appendix 2. Frequency Sharing among Fixed-Satellite Service Networks.- I. Interference Evaluation to Determine if CoordiTable of ContentsSignals; E. Saggese, S. Tirró. Causes of Signal Impairment; S. Tirró. Source Signal Processing; E. Saggese. Services; A. Puccio. Quality of Service; A. Puccio, et al. System Outline; A. Bonetto, et al. Orbits and Controlled Trajectories; V. Violi, G. Vulpetti. Radiofrequency Design Issues; A. Bonetto, E. Saggese. Analog Transmission; S. Tirró. Digital Transmission; F. Ananasso, et al. Bidirectional Circuits Design; S. Tirró. Channel Access Schemes; A. Vernucci. Networking; S. Tirró. System Economics; S. Tirró. Future Developments; G. Chiassarini, et al. Index.

Read more less

Book Synopsis1 Introduction.- 1.1 Wireless Technologies.- 1.2 Wireless Architecture.- 1.3 Applications.- 1.4 Issues and Limitations.- 2 Software Architectures.- 2.1 Mobile Computing Models.- 2.2 Environmental Awareness.- 2.3 An Example: Web Browsing.- 3 System-Level Support.- 3.1 Disconnected Operation.- 3.2 Weak Connectivity.- 3.3 Mobility.- 3.4 Failure Recovery.- 4 Information Management.- 4.1 Broadcast.- 4.2 Caching and Broadcast.- 4.3 Querying Location Data.- 4.4 Other Topics.- 5 Location Management.- 5.1 The Location Problem.- 5.2 Two-tier Schemes.- 5.3 Hierarchical Schemes.- 5.4 Evaluating Performance.- 5.5 Concurrency and Recovery.- 6 Case Studies.- 6.1 Rover.- 6.2 Bayou.- 6.3 Coda.- 6.4 WebExpress.- 7 Conclusions.- References.Table of Contents1 Introduction.- 1.1 Wireless Technologies.- 1.2 Wireless Architecture.- 1.3 Applications.- 1.4 Issues and Limitations.- 2 Software Architectures.- 2.1 Mobile Computing Models.- 2.2 Environmental Awareness.- 2.3 An Example: Web Browsing.- 3 System-Level Support.- 3.1 Disconnected Operation.- 3.2 Weak Connectivity.- 3.3 Mobility.- 3.4 Failure Recovery.- 4 Information Management.- 4.1 Broadcast.- 4.2 Caching and Broadcast.- 4.3 Querying Location Data.- 4.4 Other Topics.- 5 Location Management.- 5.1 The Location Problem.- 5.2 Two-tier Schemes.- 5.3 Hierarchical Schemes.- 5.4 Evaluating Performance.- 5.5 Concurrency and Recovery.- 6 Case Studies.- 6.1 Rover.- 6.2 Bayou.- 6.3 Coda.- 6.4 WebExpress.- 7 Conclusions.- References.

Read more less

Book Synopsis.- Verification..- Reachability and Verification of Assertions for IoT Applications..- Enhancing Numerical Invariants Learning with Bounded Reachability Analysis..- Distributed Systems..- Distributed computation of temporal twins in periodic undirected time-varying graphs..- Verifying Parameterized Networks Specified by Vertex-Replacement Graph Grammars..- Secure Lineage Storage on Public and Private Blockchains..- Byzantine Fault-Tolerant Distributed Set Intersection with Redundancy and Its Relationship with Byzantine Optimization..- Pattern formation of mobile agents in dynamic grids..- An automaton model to succinctly represent suffix-based specifications of a concurrent system..- SmartShards: Churn-Tolerant Continuously Available Distributed Ledger..- On Restricting Separator Problems in the OBLOT Computational Landscape..- Machine Learning..- Going Forward-Forward in Distributed Learning..- An Ensemble Model for 30-Minute Blood Glucose Prediction in Type 1 Diabetes: Balancing Accuracy and Simplicity..- Networked LLM Agents: Toward Autonomous LLMs for Querying Heterogeneous Databases..- Plant Diseases Detection with Retrieval-Augmented Generation..- Impact of Sparsification and Quantization on Energy Consumption in Federated Learning..- Vgg-ViT: A Framework for Deepfakes Images Detection..- Heterogeneous Graph Neural Network Based Arabic Coreference Resolution.

Read more less

Book Synopsis.- Safety Arguments/Cases..- SmartGSN: An Online Tool to Semi-automatically Manage Assurance Cases..- Principled Safety Assurance Arguments..- Consensus Building in Level 4 Automated Driving Field Trials through Assurance Cases..- Data Sets and Dependability Properties..- Creation and use of a representative dataset for Advanced Persistent Threats detection..- How Post-Completion Error Leads to Software Faults and Vulnerabilities: Industrial Case Studies..- Efficient Injury Risk Assessment for Automated Driving Systems Using Subset Simulation..- Testing and Complex Environments..- Alignment of SOTIF and Scenario-based Safety Evaluation Framework..- Managing capability in software dependability testing through generic test rigs..- Improving Out-of-Distribution Detection via Test-Time Augmentation..- Methodologies (1) – Safety Design and Risk Assessment..- Can C-Based ECC Models Leverage High-Level Synthesis? Evaluating Description Variants for Efficient Circuit..- Hot PASTA: Improved Pragmatics for System-Theoretic Process Analysis..- ULS: A Unified Likelihood Scale for Cross-Standard Risk Assessment..- Methodologies (2) – Machine Learning and Large Language Models..- Large Language Models in Code Co-generation for Safe Autonomous Vehicles..-Balancing the Risks and Benefits of using Large Language Models to Support Assurance Case Development..- Exploring the Potential of LSTM On Emulating Multiple-bit Fault Injection in SRAM-FPGA.

Read more less

Book SynopsisChapter 1. Introduction.- Chapter 2. Intelligent Channel Estimation Technology.- Chapter 3. Intelligent CSI Feedback Technology for FDD Systems.- Chapter 4. Intelligent Precoding Technology for TDD Systems.- Chapter 5. Intelligent Beam Management Technology.- Chapter 6. Conclusion and Outlook.

Read more less

Book Synopsis.- Industrial Networks and Intelligent Systems..- Energy-efficient Task Offloading for Artificial IntelligenceGenerated Content-Empowered Edge Intelligence..- Automated Arrhythmia Detection Using HybridCNN-BiLSTM Model for ECG Signals..- Event scale prediction in event-based social networks..- A Comparison Between YOLOv8 And DetectionTransformer: A Case Study on Diseased Tomato Leaves..- Telecommunications Systems and Networks..- A SDR-based Approach for Efficient Simultaneous WirelessInformation Power Transfer with Active IRS Assistance.- RL-enabled Resource Allocation in BD-RIS-assisted MIMOSystems..- Rate Fairness of STAR-RIS Enhanced Uplink NOMA:Time Switching or Energy Splitting?..- Anonymous Quantum Group Communication in QuantumLinear Networks.- Multiobjective Optimization of User-centric PerformanceDesign in UAV-SATCOM-enabled Cell-Free massive MIMONetworks..- Approximate Optimisation for Task Offloading inUnmanned Aerial Vehicle Networks..- An Automatic Repeat Request Strategy for MACProtocols in Underwater Communication Networks..- Secure Offloading in UAV-aided IoT Networks withBackscatter Communication and Non-Linear EnergyHarvesting..- Information Processing and Data Analysis..- VPHQA: Vietnamese Pregnancy Health QuestionAnswering dataset..- Dual Attention for Vietnamese Image Captioning..- Invariant Representation Learning for EffectiveGoal-oriented Semantic Communication..- A Reducing of MVDR Beamformer’s Speech Distortion inAdverse Situation.- An Intelligent Secure Framework for Face DetectionDistribution and Quantization Optimization on Edge Devices..- Security and Privacy..- A Graph Learning Approach for Malicious JavascriptDetection..- A Novel Packet-Based Preprocessing Approach forTransformer Models to Enhance DDoS Detection Accuracy..- Mobile UAV Eavesdropper Position Tracking forImproving Physical Layer Security in 6G Networks..- A Lightweight Method for Intrusion Detection SystemsLeveraging Feature Selection and Knowledge Distillation.

Read more less

Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.Table of ContentsFast conference proceedings.-State-of-the-art report.-Up to date results

Read more less

Book SynopsisClustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.Trade ReviewFrom the reviews:“The book focuses on emerging metaheuristic approaches to unsupervised classification, with an emphasis on a symmetry-based definition of similarity. … I found this book very appealing. I also thought of it as very valuable for my preoccupations towards the real-world application of unsupervised classification to medical imaging. I thus believe that, when reading this book, junior as well as experienced researchers will find many new challenging theoretical and practical ideas.” (Catalin Stoean, zbMATH, Vol. 1276, 2014)“The book views clustering as a (multiobjective) optimization problem and tackles it with metaheuristics algorithms. More interestingly, the authors of this book propose the exploitation of the concepts of point and line symmetry to define new distances to be used in clustering techniques. … researchers in the field will surely appreciate it as a good reference on the use of the symmetry notion in clustering.” (Nicola Di Mauro, Computing Reviews, July, 2013)Table of ContentsChap. 1 Introduction.- Chap. 2 Some Single- and Multiobjective Optimization Techniques.- Chap. 3 SimilarityMeasures.- Chap. 4 Clustering Algorithms.- Chap. 5 Point Symmetry Based Distance Measures and their Applications to Clustering.- Chap. 6 A Validity Index Based on Symmetry: Application to Satellite Image Segmentation.- Chap. 7 Symmetry Based Automatic Clustering.- Chap. 8 Some Line Symmetry Distance Based Clustering Techniques.- Chap. 9 Use of Multiobjective Optimization for Data Clustering.- References.- Index.

Read more less

Book SynopsisOur preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference change, including new information, suggestions, and commands. In sum, the book creates new bridges between many fields, from philosophy and computer science to economics, linguistics, and psychology. For the experienced scholar access to a large body of recent literature is provided and the novice gets a thorough introduction to the action and techniques of dynamic logic.Trade Review"This is an excellent book. It offers a clear and concise overview of dynamic preference logic and logics that can reason about both beliefs and preferences. Fenrong has managed to provide an accessible and comprehensive overview of recent work in this area, including very interesting connections with deontic logic and game theory. I highly recommend this book for anyone interested in using logical models to reason about rational agents." Eric Pacuit, Tilburg Center for Logic and Philosophy of Science, The Netherlands"Reasoning about Preference Dynamics is an innovative and unusually well-written account of human preferences and how they change. It is a must for anyone interested in the dynamics of preferences." Sven Ove Hansson, KTH Royal Institute of Technology, Sweden"This nice book presents a survey of preference logics and preference dynamics, very much state-of-the-art, and Fenrong Liu is extremely well-informed about the relevant literature. She has a remarkable talent on how to restrict herself to the essentials, in order to convey the message and produce something very readable." Hans van Ditmarsch, University of Sevilla, SpainTable of ContentsPreface.- Part I Introduction.- 1. Introduction.- Part II Dynamics of Information.- 2. Dynamic Epistemic Logic.- Part III Preference over Worlds.- 3. Preference over Worlds: Static Logic.- 4. Preference over Worlds: Dynamic Logic.- 5. Entanglement of Preference, Knowledge and Belief.- 6. Intermezzo: A Quantitative Approach.- Part IV Preference from Priorities.- 7. Preference from Priorities: Static Logic.- 8. Belief-based Preference.- 9. Preference from Priorities: Dynamic Logic.- Part V A Two-Level Perspective on Preference.- 10. A Two-Level Perspective on Preference.- Part VI Applications and Discussions.- 11. Deontic Reasoning.- 12. Games and Actions.- Part VII Finale.- 13. Conclusion.- References.- Index.

Read more less

Book Synopsis.- Digital Society Construction and Governance..- CNN-Based Grain Quality and Quantity Prediction from Small Samples..- Echo Chambers and Filter Bubbles Reconsidered: Unpacking Scholarly, Industrial, and Media Perspectives on Their Existence and Causes..- Exploration of Resilience in Nonlinear Collaborative Supply Chain Networks..- Detecting Malicious Websites Based on the System Provenance Dependency Graph and GraphSAGE..- Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability..- Modelling and Simulation of Social Systems..- Resilience Analysis of Chinese Supply Chain Network Based on Critical Point Theory of Cooperative Network..- A Study of Population Census System Based on Signaling Data: A Case Study with Greater Bay Area Data..- An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns..- Optimizing Trust Mechanisms in Humanitarian Relief Logistics: A Mixed Methods Approach..- Internet Intelligent Algorithm Governance..- Artificial Intelligence Rumor Debunking: Influencing Factors and Mechanisms of Usage Intention..- An Integrated Analysis of Online Public Opinion on School Bullying: Combining LDA Topic Modeling and Sentiment Analysis..- M/M/c Queueing Model with Priorities and Variable Matching Rates..- Deep Multi-view Clustering Based on Cross-view Consistency and Adaptive Feature Weighting Mechanism..- Social Network and Group Behavior..- Incremental Community Search in Dynamic Attributed Heterogeneous Information Networks..- A Key User Influence Discovery Model Based on Multipropagation Dimensions in Topic Network..- Understanding Cross-Platform Links in User Profiles: A Data-Driven Analysis on Mastodon..- Multilayer Network Dismantling Problem based on Genetic Evolution..- Social Bot Detection via Heterogeneous Graph Learning and Sample Balancing Strategies..- Cost-aware Hypergraph Dismantling via Spectral Bridge Identification..- The Impact of Online Argumentation Strategies on Audience Persuasion: the Moderating Effect of the Big Five Personality..- Innovation, Risks, and Security of Large Language Models..- Causal Correlation-Driven Dynamic Weighting with Large Language Models for Aero-Engine Remaining Useful Life Prediction..- Risks of large language models misalignment: Multi-stakeholder obligations and governance..- Cultural Conflicts Between Generative AI and the Cultural Values of Language — User Acculturation Strategies..- Exploring Bias Formation Mechanisms in Legal LLMs from a Cognitive Science Perspective..- Artificial Intelligence and Cognitive Science..- Dual Contrastive Incomplete Multi-View Clustering with Clustering-Oriented Guidance..- Dust Image Recognition Based on Improved U-Net Model with Pyramid Structure..- Progressive Feature Contrastive and Self-Weighted Neighbor-masked Fusion for Multi-View Clustering..- Spatio-Temporal Graph Representation Learning for POI Recommendation..- Big Five Personality Traits and State-Level Disparities in Mental Health Outcomes: Differential Associations with Substance Abuse and Mental Disorders..- Applications of Large Language Models in Societal Contexts..- Large Language Models are Great sEMG-Based Hand Gesture Recognizers..- Medical Staff Personal Protective Equipment Detection Network via Global Information and Multi-path Feature Fusion..- A Detection Method for the Dismantling Sequence of Protective Equipment for Medical Staff Based on Video Segmentation..- Between Life and Death: A Computational Analysis of AI Resurrection Discourse on Chinese Social Media..- Generative AI for Mental Health Education: A Comparison of ChatGPT and DeepSeek..- Social Geography and Urban Computing..- HeteroMoE: Spatio-temporal Heterogeneity Learning via Gated Mixture-of-Experts Networks..- Regional Personality and Life Outcomes in the USA: A State-Level Correlational Analysis..- Why Do Pro-Environmental Behaviors Diverge Between China and the West? — A Bibliometric Study Based on CiteSpace..- PM2.5 Dispersion Path Prediction Model Based on Spatio-Temporal Attention Network..- State-level Insights into Personality and Well-being: A Correlational Analysis Based on a Large U.S. Sample..- STMGNN: A Spatio-Temporal Graph Model with Mamba for Long-term Traffic Flow Forecasting.

Read more less

Book SynopsisChapter 1: Getting to know Visual Studio 2022.- Chapter 2: Working with Visual Studio 2022.- Chapter 3: Debugging your code.- Chapter 4: Unit testing.- Chapter 5: Source control.

Read more less

Book SynopsisThis book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy.Trade ReviewFrom the reviews: "This book could serve as a reference in the general area of information theory and would be of interest to electrical engineers, computer engineers, or computer scientists with an interest in information theory. Each chapter has an appropriate problem set at the end and a brief paragraph that provides insight into the historical significance of the material covered therein. … Summing Up: Recommended. Upper-division undergraduate through professional collections." (J. Beidler, Choice, Vol. 46 (9), May, 2009) "The book consisting of 21 chapters is divided into two parts. Part I, Components of Information Theory … . Part II Fundamentals of Network Coding … . A comprehensive instructor’s manual is available. This is a well planned comprehensive book on the subject. The writing style of the author is quite reader friendly. … it is a welcome addition to the subject and will be very useful to students as well as to the researchers in the field." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1154, 2009)Table of ContentsThe Science of Information.- The Science of Information.- Fundamentals of Network Coding.- Information Measures.- Information Measures.- Zero-Error Data Compression.- Weak Typicality.- Strong Typicality.- Discrete Memoryless Channels.- Rate-Distortion Theory.- The Blahut–Arimoto Algorithms.- Differential Entropy.- Continuous-Valued Channels.- Markov Structures.- Information Inequalities.- Shannon-Type Inequalities.- Beyond Shannon-Type Inequalities.- Entropy and Groups.- Fundamentals of Network Coding.- The Max-Flow Bound.- Single-Source Linear Network Coding: Acyclic Networks.- Single-Source Linear Network Coding: Cyclic Networks.- Multi-source Network Coding.

Read more less

Book SynopsisThis book presents an in-depth study on recent advances and research in Wireless Sensor Networks (WSNs). Existing WSN applications are described, followed by discussing the ongoing research efforts on some WSNs applications that show the usefulness of sensor networks. Theoretical analysis and factors influencing protocol design are highlighted.Trade Review"It is intended for advanced students but also would be useful for researchers, system and chip designers, and other professionals in related fields." (Booknews, 1 February 2011) "The book is written in an accessible, textbook style, and includes problems and solutions to assist learning." (Dark Fiber, 8 February 2011)Table of ContentsAbout the Series Editor xvii Preface xix 1 Introduction 1 1.1 Sensor Mote Platforms 2 1.2 WSN Architecture and Protocol Stack 10 References 15 2 WSN Applications 17 2.1 Military Applications 17 2.2 Environmental Applications 21 2.3 Health Applications 26 2.4 Home Applications 29 2.5 Industrial Applications 31 References 33 3 Factors Influencing WSN Design 37 3.1 Hardware Constraints 37 3.2 Fault Tolerance 39 3.3 Scalability 40 3.4 Production Costs 40 3.5 WSN Topology 40 3.6 Transmission Media 41 3.7 Power Consumption 43 References 49 4 Physical Layer 53 4.1 Physical Layer Technologies 53 4.2 Overview of RF Wireless Communication 57 4.3 Channel Coding (Error Control Coding) 59 4.4 Modulation 62 4.5 Wireless Channel Effects 66 4.6 PHY Layer Standards 72 References 75 5 Medium Access Control 77 5.1 Challenges for MAC 77 5.2 CSMA Mechanism 80 5.3 Contention-Based Medium Access 83 5.4 Reservation-Based Medium Access 103 5.5 Hybrid Medium Access 110 References 115 6 Error Control 117 6.1 Classification of Error Control Schemes 117 6.2 Error Control in WSNs 120 6.3 Cross-layer Analysis Model 123 6.4 Comparison of Error Control Schemes 131 References 137 7 Network Layer 139 7.1 Challenges for Routing 139 7.2 Data-centric and Flat-Architecture Protocols 141 7.3 Hierarchical Protocols 148 7.4 Geographical Routing Protocols 152 7.5 QoS-Based Protocols 159 References 163 8 Transport Layer 167 8.1 Challenges for Transport Layer 167 8.2 Reliable Multi-Segment Transport (RMST) Protocol 169 8.3 Pump Slowly, Fetch Quickly (PSFQ) Protocol 171 8.4 Congestion Detection and Avoidance (CODA) Protocol 175 8.5 Event-to-Sink Reliable Transport (ESRT) Protocol 177 8.6 GARUDA 180 8.7 Real-Time and Reliable Transport (RT)2 Protocol 185 References 189 9 Application Layer 191 9.1 Source Coding (Data Compression) 191 9.2 Query Processing 195 9.3 Network Management 212 References 218 10 Cross-layer Solutions 221 10.1 Interlayer Effects 222 10.2 Cross-layer Interactions 224 10.3 Cross-layer Module 229 References 240 11 Time Synchronization 243 11.1 Challenges for Time Synchronization 243 11.2 Network Time Protocol 245 11.3 Definitions 246 11.4 Timing-Sync Protocol for Sensor Networks (TPSN) 248 11.5 Reference-Broadcast Synchronization (RBS) 251 11.6 Adaptive Clock Synchronization (ACS) 253 11.7 Time Diffusion Synchronization Protocol (TDP) 254 11.8 Rate-Based Diffusion Protocol (RDP) 257 11.9 Tiny- and Mini-Sync Protocols 258 11.10 Other Protocols 260 References 262 12 Localization 265 12.1 Challenges in Localization 265 12.2 Ranging Techniques 268 12.3 Range-Based Localization Protocols 272 12.4 Range-Free Localization Protocols 280 References 284 13 Topology Management 287 13.1 Deployment 288 13.2 Power Control 289 13.3 Activity Scheduling 296 13.4 Clustering 308 References 317 14 Wireless Sensor and Actor Networks 319 14.1 Characteristics of WSANs 321 14.2 Sensor–Actor Coordination 325 14.3 Actor–Actor Coordination 337 14.4 WSAN Protocol Stack 345 References 348 15 Wireless Multimedia Sensor Networks 349 15.1 Design Challenges 350 15.2 Network Architecture 353 15.3 Multimedia Sensor Hardware 357 15.4 Physical Layer 365 15.5 MAC Layer 367 15.6 Error Control 371 15.7 Network Layer 374 15.8 Transport Layer 379 15.9 Application Layer 383 15.10 Cross-layer Design 388 15.11 Further Research Issues 392 References 394 16 Wireless Underwater Sensor Networks 399 16.1 Design Challenges 401 16.2 Underwater Sensor Network Components 402 16.3 Communication Architecture 405 16.4 Basics of Underwater Acoustic Propagation 409 16.5 Physical Layer 414 16.6 MAC Layer 416 16.7 Network Layer 426 16.8 Transport Layer 435 16.9 Application Layer 437 16.10 Cross-layer Design 437 References 440 17 Wireless Underground Sensor Networks 443 17.1 Applications 445 17.2 Design Challenges 447 17.3 Network Architecture 450 17.4 Underground Wireless Channel for EM Waves 453 17.5 Underground Wireless Channel for Magnetic Induction 463 17.6 Wireless Communication in Mines and Road/Subway Tunnels 466 17.7 Communication Architecture 474 References 480 18 Grand Challenges 483 18.1 Integration of Sensor Networks and the Internet 483 18.2 Real-Time and Multimedia Communication 484 18.3 Protocol Stack 485 18.4 Synchronization and Localization 485 18.5 WSNs in Challenging Environments 486 18.6 Practical Considerations 488 18.7 Wireless Nano-sensor Networks 488 References 489 Index 491

Read more less

Book SynopsisGet the most out of Excel 2010 with Excel 2010 Made Simple—learn the key features, understand what’s new, and utilize dozens of time-saving tips and tricks to get your job done.Table of Contents Introducing Excel 2010 Getting Around the Worksheet and Data Entry Editing Data Number Crunching 101: Functions, Formulas, and Ranges For Appearance's Sake: Formatting Your Data Charting Your Data Sorting and Filtering Your Data: Excel's Database Features PivotTables: Data Aggregation Without the Aggravation Managing Your Workbook Printing Your Worksheets: Hard Copies Made Easy Automating Your Work with Macros

Read more less

Book SynopsisIt is 5 years since the publication of the seminal paper on “Design Science in Information Systems Research” by Hevner, March, Park, and Ram in MIS Quarterly and the initiation of the Information Technology and Systems department of the Communications of AIS.Table of Contentsto Design Science Research.- Design Science Research in Information Systems.- Design Science Research Frameworks.- On Design Theory.- Twelve Theses on Design Science Research in Information Systems.- A Science of Design for Software-Intensive Systems.- People and Design.- Software Design: Past and Present.- Evaluation.- The Use of Focus Groups in Design Science Research.- Design and Creativity.- A Design Language for Knowledge Management Systems (KMS).- On Integrating Action Research and Design Research.- Design Science in the Management Disciplines.- Design Science Research in Information Systems: A Critical Realist Approach.- Design of Emerging Digital Services: A Taxonomy.- Disseminating Design Science Research.- Design Science Research: Looking to the Future.

Read more less

Book SynopsisImplement successful and cost-effective enterprise architecture projects. This book provides a new approach to developing enterprise architecture based on the idea of emergent behaviors-where instead of micromanaging system implementation, the enterprise architecture effort establishes clear goals and leaves the details to the implementation teams. System development efforts are measured based on their contribution to achieving business goals instead of implementing specific (possibly outdated) requirements. Most enterprise architecture initiatives employ one of the existing system architecture frameworks such as Zachman or The Open Group Architecture Framework, but these are not well-suited for enterprise architecture in a modern, agile organization. The new approach presented in this book is based on the author''s experience with large enterprise architecture efforts. The approach leverages research into complex adaptive systems and emergent behaviors, where a fTable of Contents

Read more less

Table of ContentsChapter 1: Introduction to Data Science in the ClassroomChapter Goal: After reading this chapter, readers will understand the importance of measurement - they will able to measure air temperature using a thermometer and they will understand how it works. We will introduce a number of core data science concepts and how to apply them to build an experiment. We’ll cover some basic how-to skills for gathering and tabulating data, and we will undertake some analysis on our results. The reader will get an overview of a complete and meaningful example of applied data science, and they will be ready to explore more deeply. Data is everywhere: Why do we measure things and what does ‘measuring things’ even mean? How is this related to data science? Using Temperature: How is temperature used in the world? Measuring temperature: What does a thermometer do and how does it work? Designing an experiment: We will begin to design an experiment using our thermometers to measure the temperature at different locations. We will look at factors that might have a negative impact on our experiment and we’ll look at controlling them. We we will see the importance of validity and reliability. Data capturing: Before our experiment commences, we will introduce the reader to the concept of data capturing - recording (tabulating) data. Experimenting with temperature: Here we will outline the classroom activity (experiment) to collect and analyse data. We will introduce the concept of experimental design and see how it can help address issues of reliability and validity. Analysing our results: We will introduce the concept of ‘interrogating’ the data by listing a series of questions that the data set might provide insights into. In a later chapter we will look at more sophisticated analysis, for now we show how to extract some meaning / insights from the data we just collected. Summary: Brings together all the new concepts introduced in this chapter and sets the stage for the next chapter. Chapter 2: Data Science Goes DigitalChapter Goal: After reading this chapter, readers will understand why there is a tendency to ‘go digital’ and what it means to read data digitally. We will introduce technology and coding to replicate our experiment and we will begin to explore ways that the digital approach can expand our capabilities and potential as data scientists. We’ll use a BBC micro:bit (or any similar device) to measure temperature, all the while looking at our experimental design and how to improve it. By the end of the chapter we will have identified the sort of hardware we need in our data science toolkit. Making it digital: Why is everything digital? What are the types of thermometers? Explain about digital thermometers and show how they are different to analogue. How can introducing digital improve our temperature experiment from Chapter 1 Using a microprocessor to measure temperature digitally: We will use micro:bit - brief intro to microbit, including sensors that can be used for measure things causing GW (only the ambient temperature sensor). Using the BBC micro:bit as a thermometer: Programming the micro:bit for reading the air temperature of the classroom. Use MakeCode (or MicroPython) for programming. Analogue and digital thermometers: Reading temperature simultaneously from a micro:bit and a thermometer. Discuss differences between methods. In particular the difficulties of manual reading, need to read two things same time (thermometer or micro:bit and the clock) Limitations of micro:bit as a standalone tool: We’ve seen some limitations with microbit. By itself it provides us with too few tools. What are -ons and how are add-ons used with microprocessors, and what about micro:bit? Discuss variety of options available to educators. Identifying the digital tools we need for data science: We have identified weaknesses in micro:bit. We also review what we need to be accomplished data scientists. Selecting our tool kit: Introduce the configuration (microbit + XinaBox) that we will use for main thread of examples. Explain why. Offer tips to adapt for other platforms throughout. Chapter summary Chapter 3: Building a Weather StationChapter Goal: After this chapter the reader will be able to build a digital weather station in the backyard, or classroom! We’ll show the reader how to build one using a micro:bit and the XinaBox SW01 &, BM01 and we’ll explain how other kit could be used. The reader will record temperature, humidity, and pressure by programming the micro:bit to display the sensor readings on the led screen. The reader will be reminded of the limitations of the micro:bit LED screen and an alternative screen to display all the sensor data will be introduced. We’ll show the reader how to connect the OD01 OLED display to show the output, and we’ll explain other options. The reader finishes the chapter with a working weather station, and the realisation that writing values down all the time is a real limiting factor.What we need for the circuit - brain, power, weather sensor and visual display unit. We show what we are using - micro:bit, xChip SW01, BM01 & xBUS connectors and show how to connect. We make it clear other components can be used - show some examples (e.g. Adafruit, Monk Makes, RPi). Programming the micro:bit (MakeCode Weatherbit package/MicroPython) to read sensor values (temperature, humidity, and pressure) and display them on the LED screen. Test the program - the display is just not adequate. We need to introduce a more suitable display. So, we add the OD01 OLED display and program it. NB - readers do not need the OLED at all - they can continue to chapter with the 5x5. Now we measure the weather over a period of time. Classes may have some with OLED and some with 5x5. Write down the sensor data in a table by looking at the display (OLED or 5x5). Making a few copies of the data capturing sheet (we will provide the format of the sheet). Distributing them among some students in different locations and ask them to write down the sensor values at the same time (maybe every 1 minute at 10 minute intervals). The exercise is likely to be flawed in many ways - recording error will occur. Discuss causes of errors by recording the sensor values manually, with either display. Data Analysis. We introduce charts and talk about time - how each set of points is implicitly time-stamped. Talk about correlations. Nothing too heavy yet - no statistical significance. We are encouraging the curious mind to ask questions, like in earlier chapters. Discuss how alternate data could be substituted in. Talk about sensors in general, how other sensors could be used in place of weather. Weather station code here can be adapted for all sorts of uses. We introduce a few examples we’ll use in our GW experiments later. Discussing the limits of the experiment - use the example of taking readings over a 24 hour period. How can that be accomplished with our circuit? How do we take the human out of the equation? Chapter 4: Storing and retrieving dataChapter Goal: In this chapter We will build further on our experiment and enhance our data science tool set introducing the use of computer memory for data capturing - the reader will be able store and retrieve data digitally for further analysis. The reader will be able to use the micro:bit's tiny persistent file system to store the data captured by the weather station then move that data onto their laptop and perform analysis. The reader will understand the limitations of the micro:bit storage by running an overnight test and counting the data points. Introduction to file storage on the micro:bit storage: We recap on why we want to save files and provide a non-technical overview of persistent memory on the micro:bit! Save Hello World to file: Briefly demonstrate the most simple code to write to and save a file. Include a brief and simple overview of how to extract the file after. Working with files: Explain key elements of the process - storing data (writing) on the micro:bit file system - creating, writing, closing files. Ensure every line of code in (2) is explained. Incorporating files into our experimental design: What impact does access to computer memory have on our experimental design? How do we amend the design to accommodate our new capabilities. Measuring memory size: how many data points we can record until the memory gets full? What is the maximum file size? Write some code to test this quickly. How many readings can we take in a 24 hour period? Replicating the weather station experiment with file storage: Now we set up an overnight experiment with the weather station to record data at the interval we have calculated. We will analyse the data in detail, in the next chapter. Addressing memory limitations: micro:bit provides us with some file storage, but not much. We introduce options to address that - ways to expand the available memory. We offer suggestions for why this would be useful Summary Chapter 5: The basics of analysing the dataChapter Goal: The reader now has the capacity to generate files containing data tables. In previous chapters we have undertaken analysis using our eyes and logic; here we look at developing some basic skills using common software (Excel, libra, GSheet). The reader will be able to import their table into a multi column spreadsheet and ensure it is formatted OK. We will find values such as max and min, as well as averages (mean, median, mode). We will discuss trends, data significance and we’ll look more formally at the concept of confidence. By the end of this chapter we will have provided the reader with all the analysis tools we will use in this book - later chapters will look at how to apply these. The workflow of data science: We review the process we have been learning about - gathering, Importing, analysing. Summarise what we know so far and introduce the goal of this chapter. The workflow of analysis: Break down the analysis process into constituents. Show the steps needed to undertake analysis and describe the tools we use at each step. Data rigour: Checking the data and ensuring it is formatted OK. Encourage data discipline - spot checks, logic checks. We remind readers that the human eye remains the most powerful too. Using spreadsheets: Introduce aggregation measures, explain them and show how to find them using a spreadsheet- Charts and visualisations: Show how to generate charts in a few software platforms. Show lots of examples to demonstrate how patterns can be seen in charts that are hard to see in tables. Use real work GW examples and a broad variety of chart types. Visualising acceleration: Write a program with just the micro:bit that saves 200 or so values of accelerometer to file. Run the program, wave the micro:bit round, extract that data and then chart it. Repeat and wave differently to get a different data profile - discuss. Summary - Guidelines for analysis: Draw together all the advise / info we have provided so far into a checklist people can use when undertaking analysis. Chapter 6: Wireless CommunicationChapter Goal: In this chapter we will introduce the reader to a variety of wireless communication options. They will understand the differences between Bluetooth, Wi-fi and LoRa (maybe Sigfox too) and they will have any idea of their strengths and weaknesses. The reader will be able to make an informed decision about which method to use in which context. Communicating data wirelessly has a lot of advantages, such as real time updates, less human hassly / error. Introduction to wireless communications. Explain the generic model of wireless communications showing the key components (e.g. base, ota waves, receiver) that are common to all. Show how Bluetooth implements the generic model Show how Wi-Fi implements the generic model Show how LoRa implements the generic model Table showing strengths and weaknesses of all 3 methods, with guidelines on when each is appropriate. Chapter 7: Sending data via BluetoothChapter Goal: At the end of this chapter, the reader will able to send the sensor data to a mobile app through the Bluetooth, and understand how Bluetooth can be used to send data over a short distance. Programming the micro:bit to send data over Bluetooth UART (MakeCode is easy). Installing Bitty app. Pairing micro:bit with the Bitty app. Receiving data (only for visualize). Bitty - Show weather station sharing data with bitty. Chapter 8: Sending data through WiFi using MQTTChapter Goal: After reading this chapter, the reader will be able to send the sensor data to the Ubidots dashboard through WiFi using MQTT, a lightweight messaging protocol. The reader will learn how to program the CW01 with MakeCode/MicroPython, Setting up the Ubidots dashboard to visualize data, triggering events with the Ubidots, and analyzing the relationship with temperature and humidity with a simple graph. What is WiFi? Explain difference with WiFi and Bluetooth on micro:bit - strengths and weaknesses of both. Explaining MQTT in simple terms Connecting micro:bit, BM11, IP01, and CW01 together using uBus connectors (can use the same setup used in the previous chapter). Preparing MakeCode with required packages that support CW01. Setting up Ubidots (creating an account, configuring the dashboard, etc.) Setting up HiveMQ, creating topics, etc. Programming and flashing micro:bit. Programming and flashing CW01 Visualizing data with Ubidots Plotting temp with humidity (Can you see a relationship?). Triggering (sending an e-mail if the temperature is too high) Chapter 9: Sending Data via LoRaChapter Goal: After completing this chapter, the reader will be able to build a simple LoRa network and use it to send the data collected by the weather station to the Ubidots IoT platform, visualizing, and analyzing data. Overview of XinaBox hardware for LoRa / may be others Connecting the micro:bit, RL0x, and BM01 together. Setting up the LoRa gateway Connecting the LoRa gateway with a WiFi/Cellular/LAN Programming with MakeCode / MicroPython, using any provides libraries Setting up Ubidots and creating a dashboard to visualizing data (if not, use The Things Network - TTN with any supported app to visualize the data.) Chapter 10: Now we are ready to be data scientistsChapter Goal: We’ve spent a lot of time developing skills that are key to a data scientist, and this chapter will highlight those skills and give ideas about how they can / are used in everyday life. We’ll also list the tools we’ve learned above and begin to talk about how they can be applied to useful projects that will address global warming. List out the skills that we have learned, measuring data, recording it, tabulating, charting and analysing. List out the tools we now have at our disposal - we know how to use sensors, how to store data and how to get it off the device into a tool we can use to tabulate, chart and perform actions on. We talk about limits of micro:bit - that it won’t be able to handle a lot of stuff at once. That will be a constraint we’ll have to work with. Identify real world examples of where similar tech to ours is used, break each down into the simple components we know: Weather forecasting, automatic street lamps, credit card transactions, GPS positioning, etc. Chapter 11: Measuring the power consumption of a light bulbChapter Goal: The consumption of electricity is strongly related to GW. By following this chapter, the reader will be able to build a tool to measure the kilowatt-hours (power consumption) used by a light bulb. The reader will use micro:bit and SL01 to detect the presence of the light. The reader will write the code to calculate and display the kilowatts used by the light bulb with the wattage of the lamp and the elapsed time for lighting. Basics of power consumption/watts/ watt-hour, etc. Building the unit with micro:bit and SL01 Creating the code with MakeCode (using running time block to calculate the elapsed time) Displaying the usage of kilowatt-hours on the OLED display or sending data to a cloud (will consider later) We can go deep by analyzing the peak time of the power consumption. Chapter 12: Monitor Air Pollution LevelsChapter Goal: By following this chapter, the reader will be able to build a digital instrument to monitor the air quality which includes eCO2 (equivalent calculated carbon-dioxide), and TVOC (Total Volatile Organic Compound), alcohols, aldehydes, ketones, organic acids, amines, aliphatic and aromatic hydrocarbons. Then the reader will be able to identify the level of pollution in the air based on the air quality index (good, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy, hazardous). No of pages: 20Sub - Topics: Introducing the air quality index. Building the project with XinaBox SG33 - VOC & eCO2 (CCS811). Programming the core Displaying useful information on the OLED display Optional (add buzzer or vibrator to indicate unhealthy or hazardous environments) Chapter 13: Geotagging your Weather StationChapter Goal: Sensor data by itself is bland stuff. Associating it with a time and place gives more life to it, and your sensor data could become more socialized. By following this chapter, the reader will be able to add the geotagging feature to the weather station (Prerequisite: The weather station should have the ability to connect to the Internet with WiFi or through LoRa) using SN01 or similar GPS module. Then the reader will be able to send sensor data along with the time and location (lat/lon), and other useful GPS data to an IoT dashboard like Ubidots. Finally, the reader will view and analyze some interesting patterns of weather data with the locations. Introduction to the geotagging and explaining how important it is/trends, etc. Adding SN01 to an existing weather station project (in chapter 8 or 9). Programming the cores for getting GPS data too. Sending data to an IoT dashboard Viewing and analyzing data/ asking questions, etc. Chapter 14: Measuring Noise Pollution on Your Way Chapter Goal: Measuring the sound level is an exciting topic today. Sounds above 85 dB are harmful, depending on how long and how often you are exposed to them. By following this chapter, the reader will be able to measure the sound level in different locations. The reader will be able to collect data, analyze, and identify the areas with a harmful level of sound pollution. Identifying the harmful areas Introduction to sound pollution and different sound levels Building the circuit with the SparkFun sound detector or similar thing: https://www.sparkfun.com/products/14262 Programming the cores Gathering data Analyzing Chapter 15: Beyond the micro:bitChapter Goal: By following this chapter, the reader will be able to rebuild the weather station by replacing the micro:bit with other microcontrollers that commonly available. Building the weather station with CC01 / maker.makecode, programming, sending data to an IoT dashboard. Building the weather station with CC01 / Arduino, programming, sending data to an IoT dashboard. Building the weather station with CC01 / Zerynth, programming, sending data to an IoT dashboard. Note - we’d want to use CW02 for this as it has a license on board. Building the weather station with Raspberry Pi, programming, sending data to an IoT dashboard. Appendix AWe will also include following if we have enough time to complete this book on time.Sending micro:bit weather station into high altitude / low earth orbit. Sending a weather station to high altitude using a helium balloon. Sending a weather station to low earth orbit. Choosing a long-range communication technology (say LoRa) Setting up the ground station. Receiving, visualizing, comparing, analyzing sensor data Using the Blynk to replace the UART terminal app (requires Arduino IDE and nRF5 support package for Arduino). Using a PIR sensor with micro:bit to turn on/off lights by detecting the presence of a human. Also when natural light is bright enough. Show how it can be used for a table lamp and consider completely novel applications (turn off music, lock a door). A project for monitoring water pollution.

Read more less

Book SynopsisWhether you are brand new to the world of digital experiences on the Salesforce platform or you are looking to take your Experience Cloud (previously Community Cloud) knowledge to the next level, this detailed guide will help you build and manage a Salesforce site by leveraging the declarative power of the platform with clicks, not code. Each Salesforce site/community is a part of a widespread ecosystem, with thousands of sites and millions of users active today on Experience Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways. Author Philip Weinmeister, Salesforce MVP and the only recipient of the Community Cloud MVP Trailblazer award from Salesforce, leads you through the ins and outs of Salesforce Experience Cloud and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform. This completely revised editioTable of ContentsChapter 1: Why Digital Experiences on the Salesforce Platform? (REVISED) Chapter 2: Planning and Preparing for Success with Experience Cloud (REVISED) Chapter 3: Experience Cloud Licenses and Member Groups: Employees, Partners, and Customers (REVISED) Chapter 4: Experience Cloud Template Types: Tabs, Visualforce, and Lightning (REVISED) Chapter 5: Experience Builder (REVISED) Chapter 6: Experience Pages and Components (REVISED) Chapter 7: Experience Setup, Administration, and Workspaces (REVISED) Chapter 8: Access, Sharing, and Visibility in Experiences (REVISED) Chapter 9: Topics in Experiences (REVISED) Chapter 10: Knowledge (Articles) in Experiences (REVISED) Chapter 11: Process Automation in Experiences (REVISED) Chapter 12: Experience Audience Targeting and Personalization (REVISED) Chapter 13: Lightning Bolt for Experience Cloud (REVISED) Chapter 14: Salesforce CMS (Content) in Experiences (NEW) Chapter 15: B2B and B2C Commerce within Experience Cloud (NEW) Chapter 16: The Community/Experience Cloud Consultant Certification Exam (NEW) Chapter 17: The Best of the Rest: Additional Experience Cloud Topics

Read more less

Book SynopsisSalesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples. You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, you'll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders. By the end of this book, you'll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps. What you'll learn Basics of Field Service Field Service objects and data model Field Service schedulingand optimization Configuring Salesforce Field Service Managing Salesforce Field ServiceTable of ContentsChapter 1: Intro to Salesforce Field Service · Basics of Field Service and Field Service Life Cycle · Field Service Personas, Objects and Data Model · Common Field Service Terminology · How Salesforce can help build Field Service and understanding Salesforce Licenses Chapter 2: Step by Step Field Service Implementation · Installing Field Service Managed App Exchange Package · Using Field Service Guided Setup · Using Dispatcher Console for dispatching Service Appointments Chapter 3: Extending Field Service to Mobile · Configuring Field Service Mobile App · How Field Technicians use Mobile App Chapter 4: Reporting in Field Service · Configure Reports and Dashboards to understand Field Service performance Chapter 5: Cracking Salesforce Field Service Lightning Certification · Understanding exam outline, key tips and strategies

Read more less

Book SynopsisThe fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful.This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).Table of Contents1 Introduction.- 2 Distributed and Parallel Database Design.- 3 Distributed Data Control.- 4 Distributed Query Processing.- 5 Distributed Transaction Processing.- 6 Data Replication.- 7 Database Integration – Multidatabase Systems.- 8 Parallel Database Systems.- 9 Peer-to-Peer Data Management.- 10 Big Data Processing.- 11 NoSQL, NewSQL and Polystores.- 12 Web Data Management.- Appendices.- A Overview of Relational DBMS.- B Centralized Query Processing.- C Transaction Processing Fundamentals.- D Review of Computer Networks.- References.- Index.

Read more less

Book SynopsisAs Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.Table of ContentsIntroduction to Artificial Intelligence in Economics and Finance Theories.- The Growth Model.- Comparative Advantage.- The Dual-Sector Model.- Dynamic Inconsistency Theory.- The Philipps Curve.- The Laffer Curve.- Adverse Selection.- Moral Hazard.- Creative Destruction.- The Agency Theory.- The Legitimacy Theory and the Legitimacy Gap.- Synopsis: Artificial Intelligence in Finance and Economics Theories.- Index

Read more less

Book SynopsisThis book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry.Table of ContentsIntroduction.- Utility Functions and Resource Allocation.- Resource Allocation without Channel.- Distributed or Centralized.- Channel Conditions and Resource Allocation.- Propagation Modeling .- Simulation.- Conclusion.

Read more less

Book SynopsisThis book is a practical resource for designing Internet of Things (IoT) networks and implementing IoT applications from the localization perspective. With the emergence of IoT, machine to machine communication, Industrial IoT, and other societal applications, many applications require knowledge of the exact location of mobile IoT nodes in real-time. As the IoT nodes have computational and energy limitations, it is a crucial research challenge to optimize the network's performance with the highest localization accuracy. Many researchers are working towards such localization problems. However, there is no single book available for the detailed study on IoT node localization. This book provides one-stop multidisciplinary solutions for IoT node localization, design requirements, challenges, constraints, available techniques, comparison, related applications, and future directions. Special features included are theory supported by algorithmic development, treatment of optimization techniques, and applications.Table of ContentsChapter 1. Localization Techniques for IoT.- Chapter 2. Quantum based Metaheuristics for Localization in IoT.- Chapter 3. Optimal Node Deployment in Smart Parking.- Chapter 4. Assistance and Localization of Elderly persons.- Chapter 5. Social Distancing and Emergency Management in Smart Cities.- Chapter 6. Optimal Configuration in Heterogeneous Industrial IoT.

Read more less

Book SynopsisThis book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles. To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications. In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme.This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models. Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book. Table of ContentsOverview of Internet Access of Vehicular Networks.- Internet Access Modeling of Vehicular Internet Access.- V2X Interworking via Vehicular Internet Access.- Intelligent Link Management for Vehicular Internet Access.- Intelligent Networking enabled Vehicular Distributed Learning.- Conclusion and Future Works.

Read more less

Book SynopsisThis book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.Table of ContentsAn Improved Audio Processing Method for Campus Broadcast System.- Committee Selection Based on Game Theory in Sharding Blockchain.- Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data.- Matching with Externalities for Device Assignment in IoT Sharding Blockchain.- Openflow-extended Queue Scheduling for Multi-tenants in Access Network.- Research and Improvement on detection algorithm of SCMA System.- A Survey of Adversarial Attacks on Wireless Communications.- Adversarial Examples in Wireless Networks: A Comprehensive Survey.- Headmotion: Human-machine interaction requires only your head movement.- Implementation of the bone grid reconstruction based on CT data.- Intelligent Vocal Training Assistant System.- Wearable-based Human Emotion Inference System..

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 22nd International Conference on Innovations for Community Services, I4CS 2022, held in Delft, The Netherlands, in June 2022. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 43 submissions. Three invited papers were also included in the volume. The papers focus on topics such as services for critical infrastructure; network architecture for communities; applications and services supporting work and life; community data and visualization; technology empowers industry processes; and future community support.Table of ContentsInvited Papers.- Energy Harvesting and Environment Protection.- Applied Security and Privacy.- eHealth and Infrastructure.- Smart Mobility and Routing.- Smart Cities and Standardization.- Applied Machine Learning.- Quantum Computing.

Read more less

Book SynopsisThis book constitutes the refereed conference proceedings of the 10th Annual Privacy Forum, APF 2022 in Warsaw, Poland in June 2022. The 8 full papers were carefully reviewed and selected from 38 submissions. The papers are organized in the area of privacy and data protection while focusing on privacy related application areas. A large focus of the 2022 conference was on the General Data Protection Regulation (GDPR).Table of ContentsUsers’ Rights.- Security of Personal Data.- Privacy Enhancing Technologies.- Privacy Engineering.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 4th International Conference on Intelligent Technologies and Applications, INTAP 2021, held in Grimstad, Norway, October 11–13, 2021.The 33 full papers included in this book were carefully reviewed and selected from 243 submissions. They were organized in topical sections as follows: Intelligence, Decision support systems, IoT; Robotics; ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management; Smart Electrical Energy Systems, AI and ML in Security; ML and AI for sensing technologies, Social Media Analytics; ML in energy sectors and materials; and Miscellaneous.Table of ContentsIntelligence, Decision support systems, IoT.- Dense Nearest Neighborhood Query.- Explainable nonlinear modelling of multiple time series with invertible neural networks.- Iterative Learning for Semi-automatic Annotation Using User Feedback.- Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression.- A Novel Group Teaching Optimization Algorithm based Artificial Neural Network for Classification.- On the Effects of Properties of the Minibatch in Reinforcement Learning.- A novel migration simulation and prediction tool.- Development Environment for Software-defined Smart City Networks.- Robotics.- Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems.- A Multi-Modal Auditory-Visual-Tactile e-Learning Framework.- A Perspective on Intervention Approaches for Children with Autism Spectrum Disorder.- framework for hazard identification of a collaborative Plug&Produce system.- ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management.- Future Perspectives on Automated Machine Learning in Biomedical Signal Processing.- DeepFireNet - A Light-Weight Model for Fire-Smoke Classification.- Smart Electrical Energy Systems, AI and ML in Security.- THD Reduction Comparison of Three Phase SPPS via Conventional RC and Novel PRESH Controller.- Artificial Neural Network (ANN) trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power.- Bode Plot Analysis of PRES and Novel PRESH controller interfaced with three phase GTSPPS.- Energy tracing and blockchain technology: a primary review.- Emulation of IEC 60870-5-104 Communication in Digital Secondary Substations.- ML and AI for sensing technologies, Social Media Analytics.- Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly.- Radar-Based Passive Step Counter and its Comparison with a Wrist-Worn Physical Activity Tracker.- Principles for the Arrangement of Social Media Listening Practices in Crisis Management.- AMUSED: An Annotation Framework of Multi-modal Social Media Data.- ML in energy sectors and materials.- An evaluation of predictor variables for photovoltaic power forecasting.- Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention.- Detecting the linear and non-linear causal links for disturbances in the power grid.- Machine Learning for PV System Operational Fault Analysis: Literature Review.- Miscellaneous.- An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity.- An Evaluation of Autonomous Car Simulators and their applicability for Supervised and Reinforcement Learning.- Classification of Mechanical Fault-Excited Events based on Frequency.- Intelligent Technologies in the Process of Recovering Historical, Cultural, and Heritage Value in Native Communities.- Tensile Experiments on Adhesion between Aluminium Profiles and Glass.- Machine learning for capacity utilization along the routes of an urban freight service.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 16th International Conference on Provable Security, ProvSec 2022, held in Nanjing, China, in November 11–12,2022. The 15 full papers and 4 short papers were presented carefully reviewed and selected from 52 submissions. The papers focus on provable security as an essential tool for analyzing security of modern cryptographic primitives. They are divided in the following topical sections: Encryption; Lattice Based Cryptography; Information Security; Blockchain; and Foundations.Table of ContentsEncryption.- A Generic Construction of CCA-secure Attribute-based Encryption with Equality Test.- Secure-Channel Free Certificateless Searchable Public key Authenticated Encryption with Keyword Search.- More Efficient Verifiable Functional Encryption.- Subverting Deniability.- Epoch Confidentiality in Updatable Encryption.- Lattice Based Cryptography.- Simplified Server-Aided Revocable Identity-Based Encryption from Lattices.- Lattice-based Public Key Cryptosystems invoking Linear Mapping Mask.- Batched Fully Dynamic Multi-key FHE from FHEW-like Cryptosystems.- Zero-knowledge Range Arguments for Signed Fractional Numbers from Lattices.- Information Security.- Fast Out-of-band Data Integrity Monitor to Mitigate Memory Corruption Attacks.- Construction of a New UAV Management System based on UMIA Technology.- FP2-MIA: A Membership Inference Attack Free of Posterior Probability in Machine Unlearning.- Practical Federated Learning for Samples with Different IDs.- Blockchain.- Reinforcement-Mining: Protecting Reward in Selfish Mining.- FolketID: A Decentralized Blockchain-based NemID Alternative against DDosS Attacks.- Secure Collaboration between Consortiums in Permissioned Blockchains.- Foundations.- (Public) Verifiability For Composable Protocols Without Adaptivity Or Zero-Knowledge.- Practical Non-Malleable Codes from Symmetric-key Primitives in 2-Split-State Model.- Cryptographic Role-Based Access Control, Reconsidered.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022, which took place in Jyväskylä, Finland in November 2022.The 24 full technical papers, 9 short papers, and 6 poster papers presented in this volume were carefully reviewed and selected from 75 submissions. The book also contains and 8 doctoral symposium papers and 7 tutorial and workshop papers.The contributions were organized in topical sections as follows: Keynote; Cloud and AI; Empirical Studies; Process Management; Refactoring and Technical Dept; Software Business and Digital Innovation; Testing and Bug Prediction; Posters; Tutorials; Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22); 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022); Doctoral Symposium.Table of Contents​ Keynote.- The End-users of Software Systems deserve better.- Cloud and AI.- Managing the Root Causes of "Internal API Hell": An Experience Report.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Requirements for Anomaly Detection Techniques for Microservices.- Empirical Studies.- Defining Requirements Strategies in Agile: A Design Science Research.- Analysing the Relationship between Dependency Definition and Updating Practice when Using Third-Party Libraries.- On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Marine Data Sharing: Challenges, Technology Drivers and Quality Attributes.- Data-Driven Improvement of Static Application Security Testing Service: An Experience Report in Visma.- Near Failure Analysis using Dynamic Behavioural Data.- Process Management.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- A Process Model of Product Strategy Development: A Case of B2B SaaS Product.- Benefit Considerations in Project Decisions.- Towards Situational Process Management for Professional Education Programmes.- Change Management in Cloud-Based Offshore Software Development: A Client-Vendor Perspective.- Half-Empty Offices in Flexible Work Arrangements: Why are Employees Not Returning?.- Refactoring and Technical Dept.- Technical Debt in Service-Oriented Software Systems.- An Investigation of Entropy and Refactoring in Software Evolution.- "To Clean Code or Not To Clean Code" A Survey among Practitioners.- Software Business and Digital Innovation.- Counter the Uncertainties in a Dynamic World: Approach for Creating Outcome-Driven Product Roadmaps.- Designing Platforms for Crowd-based Software Prototype Validation: A Design Science Study.- Rapid delivery of software: The effect of alignment on time to market.- Exploring the “Why,” “How,” and “What” of Continuous Digital Service Innovation.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Why Traditional Product Roadmaps Fail in Dynamic Markets: Global Insights.- Testing and Bug Prediction.- Test Case Selection with Incremental ML.- Inferring Metamorphic Relations from JavaDocs: A Deep Dive Into the MeMo Approach.- An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction.- A/B Testing in the Small: an Empirical Exploration of Controlled Experimentation on Internal Tools.- TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks.- Improving Software Regression Testing Using a Machine Learning-based Method For Test Type Selection.- Early Identification of Invalid Bug Reports in Industrial Settings - A Case Study.- Posters.- RESEM: Searching Regular Expression Patterns with Semantics and Input/Output Examples.- Linking User Stories and Behavior Driven Development Concepts: Ontology, Preliminary Validation and Further Perspectives.- Quality Metrics for Software Development Management and Decision Making: An Analysis of Attitudes and Decisions.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Are NLP Metrics Suitable for Evaluating Generated Code?.- Can the requirements coverage be satisfied with code coverage? User story test coverage.- Tidy Up Your Source Code! Eliminating Wasteful Statements in Automatically Repaired Source Code.- Tutorials- Utilizing User Stories to Bring AI Ethics into Practice in Software Engineering.- Workshop on Engineering Processes and Practices for Quantum Software (PPQS’22).- Classical to Quantum Software Migration Journey Begins: A Conceptual Readiness Model.- 1st Workshop on Computational Intelligence and Software Engineering (CISE 2022).- Technical Debt Forecasting from Source Code using Temporal Convolutional Networks.- Adagio: a bot for AuDio processing AGainst vIOlence.- End Users’Perspective of Performance Issues in Google Play Store .- Predicting Bug-Fixing Time: DistilBERT versus Google BERT.- Proposing Isomorphic Microservices based Architecture for IoT.- Doctoral Symposium.- Ethical Tools, Methods and Principles in Software Engineering and Development: Case Ethical User Stories.- Architectural Degradation and Technical Debt Dashboards (PROFES Doctoral Symposium).- The Impact of Business Design in Improving the Offering of Professional Software Services.- Applications of MLOps in the Cognitive Cloud Continuum "PROFES Doctoral Symposium".- Implementing Artificial Intelligence Ethics in Trustworthy System Development- Ethical Requirements for Software Development.- Developing a Critical Success Factor model for DevOps.- Strategic ICT procurement in Finland: Tensions and Opportunities.- Leverage Software Containers Adoption By decreasing Cyber Risks and systemizing the refactoring of monolithic applications.

Read more less

Book SynopsisThe four-volume proceedings LNCS 13791, 13792, 13793, and 13794 constitute the proceedings of the 28th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2022, held in Taipei, Taiwan, during December 5-9, 2022. The total of 98 full papers presented in these proceedings was carefully reviewed and selected from 364 submissions. The papers were organized in topical sections as follows: Part I: Award papers; functional and witness encryption; symmetric key cryptanalysis; multiparty computation; real world protocols; and blockchains and cryptocurrencies. Part II: Isogeny based cryptography; homomorphic encryption; NIZK and SNARKs; non interactive zero knowledge; and symmetric cryptography. Part III: Practical cryptography; advanced encryption; zero knowledge; quantum algorithms; lattice cryptoanalysis. Part IV: Signatures; commitments; theory; cryptoanalysis; and quantum cryptography.Table of ContentsIsogeny Based Cryptography.- Homomorphic Encryption.- NIZK and SNARKs.- Non Interactive Zero Knowledge.- and Symmetric Cryptography.

Read more less

Book SynopsisThis volume constitutes the refereed proceedings of the 5th International Workshop on Emerging Technologies for Authorization and Authentication, ETAA 2022, held in Copenhagen, Denmark, on September 30, 2022, co-located with ESORICS 2022.The revised 8 full papers presented together with one invited paper were carefully reviewed and selected from 10 submissions. They cover topics such as: new techniques for biometric and behavioral based authentication, authentication and authorization in the IoT and in distributed systems in general, including the smart home environment. Table of ContentsAn Ontology-based Approach for Setting Security Policies in Smart Homes.- Clap Auth: A Gesture-based User-Friendly Authentication Scheme to Access a Secure Infrastructure.- User Authentication on Headset-like Devices By Bio-Acoustic Signals.-The measurable Environment as Nonintrusive Authentication Factor On the Example of WiFi Beacon Frames.- Protecting FIDO Extensions against Man-in-the-Middle Attacks.- Authentication, Authorization and Selective Disclosure for IoT Data Sharing using Verifiable Credentials and Zero-Knowledge Proofs.- Privacy-Preserving Speaker Verification and Speech Recognition.- An E-Voting System Based on Tornado Cash.- Linking Contexts from Distinct Data Sources in Zero Trust Federation.

Read more less

Book SynopsisThe 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. Table of ContentsRecognition: feature detection, indexing, matching, and shape representation.- datasets and performance analysis.

Read more less

Book SynopsisThis two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsKnowledge Management and Intellectual Capital.- Enabling Knowledge Management Practices in Museums: Benefits of and Barriers to Achieving Public Value.- How Much Context Do Users Provide in App Reviews? Implications for Requirements Elicitation.- Evaluating Tools for Data Management Plans: A Comparative Study of the DART Rubric and the Belmont Scorecard.- Topic Evolution Analysis Based on Optimized Combined Topic Model: Illustrated as CRISPR Technology.- “Design, Design, and Design Again”: An Information-Architecture Redesign Workflow from Case Studies of a Government Portal and a Learning-management System.- What Does Provenance LACK: How Retrospective and Prospective Met the Subjunctive.- Exploration of Accuracy, Completeness and Consistency in Metadata for Physical Objects in Museum Collections.- Social Media and Digital Networks.- How We Express Ourselves Freely: Censorship, Self-censorship, and Anti-censorship on a Chinese Social Media.- Impact of Social Media on Self-Esteem and Emotions: An Instagram-based Case Study.- Motivations, Purposes, and Means of Creating Information Cocoons Intentionally for Oneself: Looking on the Bright Side.- Left and Right Retweets! Curation Logics During Black History Month.- Libraries.- Another Named Storm! Building Resiliency Through Florida’s Essential Public Libraries.- Digital Experiences in Physical Spaces: Virtual Reality and Public Libraries in Aotearoa New Zealand.- What Do We Do with the Fruits of Open Educational Practices? A Case for Open Educational Collections.- Terminology Preferences of the LGBTQ+ Community: A User Study.- Exploring the Concept of Library Use: A Research Review.- Shared LGBTQ+ Identity in Librarian-Community Partnerships.- Bridging the Gap between Research and Practice in Library Science through Library Society of China: A Pilot Study.- Automation of University Library Operations: An Analysis of the Covid-19 Pandemic Experience in the United Kingdom and Nigeria.- Human-Computer Interaction and Technology.- What Makes a Technology Privacy Enhancing? Laypersons' and Experts' Descriptions, Uses, and Perceptions of Privacy Enhancing Technologies.- A Critique of Using Contextual Integrity to (Re)consider Privacy in HCI.- Audience Video Game Engagement in a Live Streaming Context: Examining the Role of Perceived Influence of Game Streamers from the Self-determination Perspective.- A Surprise Birthday Party in VR: Leveraging Social Virtual Reality to Maintain Existing Close Ties Over Distance.- “Monday Feels Like Friday!” - Towards Overcoming Anxiety and Stress of Autistic Young Adults during Times of Isolation.- Self-Tracking to Manage Chronic Illness: Exploring User Agency in Apps for Diabetes Self-Management.- Autism and Virtual Reality Interventions: Research Trends and Practices.- Towards a Useful Chinese Annotation Tool: An Examination of Annotators’ Practice and Needs.- Information Retrieval.- Similarity Visualizer using Natural Language Processing in Academic Documents of the DSpace in Ecuador.- Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution.- Career-Based Explainable Course Recommendation.- A Benchmark of PDF Information Extraction Tools Using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents.- Contextualizing Session Resuming Reasons with Tasks Involving Expected Cross-session Searches.- Community Informatics. -Time Lag Analysis of Adding Scholarly References to English Wikipedia: How Rapidly are They Added to and How Fresh are They.- Examining Interest in Open Government Data Through Digital Traces.- “Trapped” by Recommendation Algorithms? A Mixed Methods Study on the Use of Content Recommendation System in Everyday Life in Western China.- Community Design of a Knowledge Graph to Support Interdisciplinary Ph.D. Students.- Potential of Participatory Geographic Information System to Build Environmental Information Ecosystem and Claim Environmental Justice: A Research Agenda for Fisherfolk Community in Bangladesh.- Caring for People, Caring for Their Data: Data Stewardship and Collaborative Care in Social Service Provision for People Experiencing Homelessness.- Is there a Scientific Digital Divide? Information Seeking in the International Context of Astronomy Research.- Digital Information Infrastructures.- The Conceptualization of Digital Inclusion in Government Policy: A Qualitative Content Analysis.- Dublin Core Metadata Created by Kuwaiti Students: Exploration of Quality in Context.- Trustworthy Digital Repository Certification: A Longitudinal Study.- Design Principles for Background Knowledge to Enhance Learning in Citizen Science.- ``We Avoid PDFs'': Improving Notation Access for Blind and Visually Impaired Musicians.- The Rural Informatization Policies in China: The Power Dynamics and Policy Instruments.

Read more less

Book SynopsisThis two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023.The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.Table of ContentsArchives and Records.- Are We Missing the Cybersecurity Factors in Recordkeeping?.- Recovering and Reusing Historical Data for Science: Retrospective Curation Practices Across Disciplines.- Receipts: A Case Study of the Sonja Ahlers Archive as Platform Feminism.- Standing on the Outside Looking in: Testing the Concept of Societal Embeddedness from a User and Pluralizing Perspective.- Plus ça change, plus c'est la même chose – The Australian Records Management Case.- Information Sustainability in Rural Bangladesh: the Use of Analogue and Digital Backups.- Measuring Users’ Awareness of Content Recommendation Algorithm: A Survey on Douyin Users in Rural China.- Investigating Factors Influencing Open Government from a Country’s Perspective.- Lex Informatica and Freedom of Expression: Reflections on the Regulation of Internet Trolling Behaviors.- AI & Machine Learning.- “That’s not Damning with Faint Praise”: Understanding the Adoption of Artificial Intelligence for Digital Preservation Tasks.- Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing.- Aligning Visual and Lexical Semantics.- An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio.- How Many Features Do We Need to Identify Bots on Twitter?.- Data Science.- Disparity in the Evolving COVID-19 Collaboration Network.- Text Mining and Visualization of Political Party Programmes Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections.- Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption.- Characterizing Data Practices in Research Papers across Four Disciplines.- Information and Digital literacy.- Fighting Misinformation: Where Are We and Where to Go.- The Potential of Digital Literacy to Curb Problematic Information: An Integrative Literature Review.- Coding Funds of Knowledge in [media lab] Student Stories about Technologies.- An Exploratory Study of Intergenerational Technical Help from the Youth’s Perspective.- Exploring the Association Between Multiple Classifications and Journal Rankings.- The Design, Development, and Implementation of an LIS General Education Course for Non-LIS University Students in the Philippines.- “It's nice to Mix up the Rhythm”: Undergraduates’ Experiences in a Large Blended Learning Course in Information Science in the Context of COVID-19.- Visual Information Processing in Virtual Reality: Merging Theory and Practice.- From Noisy Data to Useful Color Palettes: One Step in Making Biodiversity Data FAIR.- Cultural Perspectives.- “Will the Day Ever Come When We Will Be Judged on Our Merit and Not on Our Blackness?” The Black Caucus of the American Library Association and the Long Freedom Struggle in the United States, 1970-1975.- How Inclusive are the International Conferences? Attending Conferences in an Unequal World.- Locating Black Information Lives: “Scoping” the literature on African American Genealogical Researchers.- Do you speak meme? A Dynamic Digital Language for the Information Society.

Read more less

Book SynopsisThis book, AICON 2022, constitutes the post-conference proceedings of the 4th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2022, held in Hiroshima, Japan, in November 30- December 1, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 36 submissions. The papers detail research in the areas of AI and communication systems related to intelligent systems and computational intelligence for communication and networks. They are organized in topical sections on AI and networks; machine learning; and evolutionary computation.Table of ContentsAI and Networks.- Cost-aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles.- Fault Diameter of Strong Product Graph of Two Paths.- Design and Implementation of SF Selection Based on Distance and SNR using Autonomous Distributed Reinforcement Learning in LoRa Networks.- Machine Learning.- QBRT: Bias and Rising Threshold Algorithm with Q-Learning.- A Study on Effectiveness of BERT Models and Task[1]Conditioned Reasoning Strategy for Medical Visual Question Answering.- Inspired human cognitive bias robust Neural Networks against Adversarial attacks.- Efficient estimation of cows’ location using machine learning from sensor data, farm management, cow location.- A Time Series Forecasting Method using DBN and Adam Optimization.- Unity-Bounded Function and Benchmark Design Specifications Targeted for Designing Typical Variable Digital Filters.- Evolutionary Computation.- Proposal and evaluation of a course classification support system emphasizing communication with the sub-committees within the Committee of Validation and Examination for Degrees.- A Research of Infectivity Rate of Seasonal Influenza from Pre-Infectious person for Data Driven Simulation Saori Iwanaga.- Creating Trust within Population in an Uncertain Environment using Blockchain.- Efficient Inductive Logic Programming Based on Particle Swarm Optimization.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 8th International Symposium, UNet 2022, held in Montreal, QC, Canada, during October 25–27, 2022. The 17 full papers included in this book were carefully reviewed and selected from 43 submissions. Moreover, 4 additional invited papers have been also considered. They were organized in topical sections as follows: ​Spectrum Management and Channel Prediction, Resource Allocation in 5G/6G, Internet of Things and Vehicular Communications, Artificial Intelligence-Driven Communications, Pervasive Services and Cyber Security.Table of ContentsSpectrum Management and Channel Prediction.- On the Influence of Microscopic Mobility in Modelling Pedestrian Communication.- Low Profile CPW Fed Tri-Band Millimeter Wave Antenna Design for Future 5G Application.- Trading off Controlled System Energy and Wireless Communication Energy.- Statistical Moments of the Temporal Spectrum of Electromagnetic Waves in the Equatorial Ionosphere.- Resource Allocation in 5G/6G.- Towards Facilitating URLLC in UAV-Enabled MEC Systems for 6G Networks.- Resource Allocation and Power Control for Heterogeneous Cellular Network and D2D Communications.- Optimized Network Coding With Real-Time Loss Prediction for Hybrid 5G Networks.- TCP-RTA: Real-Time Topology Adaptiveness for Congestion Control in TCP.- Rio_DSA: Redirecting I/O Scheme for Dynamic Storage Allocation on Docker Container.- Internet of Things and Vehicular Communications.- VANET-Based Traffic Light Management for an Emergency Vehicle.- Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X.- Pervasive Computing for Efficient Intra-UAV Connectivity: Based on Context-Awareness.- Road Accident Analysis of Dhaka City Using Counter Propagation Network.- Artificial Intelligence-Driven Communications.- Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks.- Distributional Reinforcement Learning for VoLTE Closed Loop Power Control in Indoor Small Cells.- Reinforcement Learning Aided Routing in Tactical Wireless Sensor Networks.- A Green and Scalable Clustering for Massive IoT Sensors with Selective Deactivation.- Pervasive Services and Cyber Security.- Threat Mitigation Model With Low False Alarm Rate Based on Hybrid Deep Belief Network.- On Feature Selection Algorithms for Effective Botnet Detection.- A Novel Hybrid Deep Learning Model for Crop Disease Detection Using BEGAN.- Multivariate Skewness and Kurtosis for Detecting Wormhole Attack in VANETs.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12–14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms for both optimization and machine learning problems as well as exploring GP to address complex real-world problems.

Read more less

Book SynopsisThis book constitutes the proceedings of the 10th International Workshop on Code-Based Cryptography, CBCrypto 2022, which was held during May 29-30, 2022 in Trondheim, Norway.The 8 papers presented in this volume were carefully reviewed and selected from 23 submissions. These contributions span all aspects of code-based cryptography, from design to software and hardware implementations, works about recent NIST PQC standardization candidates, side channel analysis, and improved decoding techniques.Table of ContentsDistinguishing and Recovering Generalized Linearized ReedSolomon Codes.- Verifying Classic McEliece: examining the role of formal methods in post-quantum cryptography standardisation.- Key-Recovery Fault Injection Attack on the Classic McEliece KEM.- Towards Automating Cryptographic Hardware Implementations: a Case Study of HQC.- Software Implementation of a Code-Based Key Encapsulation Mechanism from Binary QD Generalized Srivastava Codes.- On Decoding High-Order Interleaved Sum-Rank-Metric Codes.- Information Set Decoding for Lee-Metric Codes using Restricted Balls.- Cryptanalysis of IvanovKroukZyablov cryptosystem

Read more less

Book SynopsisThis book constitutes the proceedings of the Second International Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2022, held as a virtual event, December 12–14, 2022.The 14 papers presented in this volume were carefully reviewed and selected from 38 submissions. The conference was held with the aim of developing and exchanging international experience in the field of information, digital and intellectual technologies, within the framework of which proposals were formulated for digital, intellectual and infor-mation transformation, the development of computer models and the improvement of automated and computing processes. A distinctive feature of the conference is that it presented reports of authors from USA, Canada, Bangladesh, Uzbekistan and Russia. Researchers from different countries presented the process of transition of the information and digital path of development, presented the main directions and de-velopments that can improve the efficiency and development.Table of ContentsAlgorithm for Solving the Problem of Multi-Criteria Optimization of Poorly Formed Processes based on the Construction of a Fuzzy Logic Model.- PACTDet - An Artificially Intelligent Approach to Detect Pulmonary Illnesses: Pneumonia, Asthma, COVID-19, and Tuberculosis.- Detection of Video Image Modification using a Classifier based on Adaptive Resonance Theory.- On the Reduction of Alternatives in the Process of Selecting Preferred Management Decisions.- Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP.- Mathematical Modeling of the Translation Process and its Optimization by the Criterion of Quality Maximization.- Optimization with Quantum Algorithm that is based on Grover’s Method.- Evaluation of the Efficiency of Fault Tolerance Algorithms for Distributed Peer-to-Peer Worker Processes Connected through a Key-Value Store.- Investigation of the Possibility of using Neural Networks to Predict the Concentration of Sodium in a Steam.- Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (on the Example of the European North-East of Russia).- Deghosting Diffusion Model for Facial Attribute Editing via Differential Activations.- Minimizing Defaultation in Lending Using Blockchain Based Loan Management Syste.- System of Intelligent-Safe Distribution of Network Traffic Loads in Cluster Mesh-Formations of Thermal Technology Systems.- Computer Research and Stabilization of Dynamic Models of Conveyor Systems.

Read more less

Book SynopsisThis book constitutes the refereed post-conference proceedings of the First International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2022, which was held in Messina, Italy, in November 2022. The 9 full papers were carefully reviewed and selected from 35 submissions and present findings of research from the fields of pervasive computing, web, and social media to promote ideas and practices about pervasive knowledge and collective intelligence in this fields. The conference targeted a wide variety of topics including new perspectives in social theories, complex networks, data science, knowledge management, web and social media.Table of ContentsData Science.- Assembling Fragments of Ancient Papyrus via Artificial Intelligence.- Social Media Analysis and Mining.- Misinformation and disinformation on Social Media: an updated survey of challenges and current trends.- Topic Detection and Tracking in Social Media Platforms.- Fake News on Social Media: current research and future directions.- Incivility balanced? Civil vs. uncivil speech in online political discussions as dependent on political parallelism.- Data and Network Security.- Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.- Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications.- Emerging Applications.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.- A Comparative Study on the Coulomb’s and Franklin’s Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.

Read more less

Book SynopsisNumerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations.Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing. New chapters illustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm.Topics and features: Includes learning objectives, motivating questions, and self-test exercises Introduces the underlying concepts, fundamental features, and key technological foundations of cloud computing Examines how enterprise networking and cloud networking can work together to achieve business goals Reviews the different types of cloud storage available to address the evolution of data and the need for digitization Discusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud management Describes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructure This technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.Table of Contents1. Introduction to Cloud Computing.- 2. Fundamentals of Cloud Computing.- 3. Technological Foundations of Cloud Computing.- 4. Cloud Networking.- 5. Storage Fundamentals and Cloud Storage.- 6. Cloud Security.- 7. Cloud Migration.- 8. Cloud Monitoring.- 9. Basics of Cloud Management.- 10. Cloud Service Brokerage.- 11. Cloud Orchestration.- 12. Disaster Recovery.

Read more less

Book SynopsisThis book constitutes revised selected papers from the refereed proceedings of the 7th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2022, which took place in Potsdam, Germany, on September 6, 2022.The 6 full papers included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: Cloud-Based Urban Mobility Services; New Results in Priority-Based Bin Packing; More Sparking Soundex-based Privacy-Preserving Record Linkage and Privacy Preserving Queries of Shortest Path Distances.Table of ContentsCloud-Based Urban Mobility Services.- SQL Query Optimization in Distributed NoSQL Databases for Cloud-based Applications.- MAGMA: Proposing a Massive Historical Graph Management System.- New Results in Priority-Based Bin Packing.- More Sparking Soundex-based Privacy-Preserving Record Linkage.- Privacy Preserving Queries of Shortest Path Distances.

Read more less

Book SynopsisThis two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023. This event was held in hybrid mode.The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning. Table of ContentsDeep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial).- Agents/Case Based Reasoning/Sentiment Analysis.- Biomedical - Image Analysis.- CNN - Convolutional Neural Networks YOLO CNN.- Cyber Security/Anomaly Detection.- Explainable AI/Social Impact of AI.- Graph Neural Networks/Constraint Programming.- IoT/Fuzzy Modeling/Augmented Reality.- LEARNING (Active-AutoEncoders-Federated).- Machine Learning.- Natural Language.- Optimization-Genetic Programming.- Robotics.- Spiking NN.- and Text Mining /Transfer Learning.

Read more less