Applied computing Books

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

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Book SynopsisBusiness Process Management (BPM) has become one of the most widely used approaches for the design of modern organizational and information systems. The conscious treatment of business processes as significant corporate assets has facilitated substantial improvements in organizational performance but is also used to ensure the conformance of corporate activities. This Handbook presents in two volumes the contemporary body of knowledge as articulated by the world's leading BPM thought leaders. This second volume focuses on the managerial and organizational challenges of BPM such as strategic and cultural alignment, governance and the education of BPM stakeholders. As such, this book provides concepts and methodologies for the integration of BPM. Each chapter has been contributed by leading international experts. Selected case studies complement their views and lead to a summary of BPM expertise that is unique in its coverage of the most critical success factors of BPM.The second edition of this handbook has been significantly revised and extended. Each chapter has been updated to reflect the most current developments. This includes in particular new technologies such as in-memory data and process management, social media and networks. A further focus of this revised and extended edition is on the actual deployment of the proposed theoretical concepts. This volume includes a number of entire new chapters from some of the world's leading experts in the domain of BPM. Table of ContentsStrategic Alignment.- Governance.- People and culture.

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Book SynopsisTrade Review"Crymble seamlessly integrates print, digital, oral history, and interactive source material to document the ways historians have responded, both individually and as an imagined community, to the social contexts that have shaped our interactions with technology." --Journal of American History "Crymble gives me a greater appreciation for how my own course in ‘digital history’ fits within and reflects broader patterns of discourse about technology and the past." --Corinthian Matters "This book explodes many of the foundation myths upon which digital history has been built; and replaces them with a clear-eyed account that melds historiography, technology, and pedagogy. In beautiful prose Crymble has identified the streams of influence that have shaped the field."--Tim Hitchcock, University of SussexTable of ContentsCoverTItleCopyrightContentsAcknowledgmentsIntroduction1. The Origin Myths of Computing in Historical Research2. The Archival Revisionism of Mass Digitization3. Digitizing the History Classroom4. Building the Invisible College5. The Rise and Fall of the Scholarly Blog6. The Digital Past and the Digital FutureAppendix: Digital History Syllabus Corpus (2002–2017)Glossary: A New VocabularyNotesBibliographyIndexBack cover

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Book SynopsisExpert Facebook advertising techniques you won''t find anywhere else! Facebook has exploded to a community of more than half a billion people around the world, making it a deliciously fertile playground for marketers on the cutting edge. Whether you want to leverage Facebook Ads to generate Likes, promote events, sell products, market applications, deploy next-gen PR, ,this unique guide is the ultimate resource on Facebook''s wildly successful pay-per-click advertising platform. Featuring clever workarounds, unprecedented tricks, and little-known tips for triumphant Facebook advertising, it's a must-have on the online marketer's bookshelf. Facebook advertising expert Marty Weintraub shares undocumented how-to advice on everything from targeting methods, advanced advertising techniques, writing compelling ads, launching a campaign, monitoring and optimizing campaigns, and tons more. Killer Facebook Ads serves up immediately actionable tips & tactics that span the gambiTrade Review'Weintraub hits a home run with this book, and if you advertise anywhere online, you will definitely benefit from reading it . Management-Issues.com, 23/11/11.Table of ContentsIntroduction xix Chapter 1 Marketing and the Facebook Revolution 1 Facebook's Reach 2 Understanding the Social Graph 7 What Marketers Can and Can't Do With Facebook Ads 10 The Ethical Marketer’s Rules of Engagement 14 Chapter 2 Key Performance Indicators (KPIs) 19 Setting Expectations 20 Defining KPIs 21 Facebook Ads and Attribution 33 Chapter 3 The Facebook Ad Creation UI 35 Web UI and Power Editor 36 Module 1: Design Your Ad 36 Module 2: Facebook’s Powerful Targeting 37 Module 3: Campaigns, Pricing, and Scheduling 63 Chapter 4 Facebook Ads Production Workflow 65 Power Editor 66 Understanding Account Structure 66 First Step: Wireframe Demographic Research 69 Second Step: Create Your First Ads 69 Structural Best Practices 72 Chapter 5 Guerilla User Targeting Checklist 77 Literal, Competitive, and Inferred Targeting 78 Occupations and Employment 86 Real-Life Groups and Affiliations 90 Online, Off Facebook . 99 Product Categories . 102 Classic Mainstream Interests 104 Chapter 6 Mastering Compound Targeting 111 Age, Interest, and Gender Mashups 112 Workplace and Precise Interest Amalgamations . 115 Education and Interest Amalgamations 119 Sexuality, Relationship Status, and Interests . 121 Country + Language + Interest Combinations 123 Chapter 7 Creating Killer Facebook Ads 127 The Five Levels of Brand Clarity 128 Headlines 130 Ad Images 140 Putting It All Together with Body Copy 147 Chapter 8 Deploying Your Facebook Ads Campaign 155 Facebook Ads Finances 156 Landing Page Considerations 163 Final Prelaunch Checklist 172 Chapter 9 Field Guide to Optimization and Reporting 173 Introducing Ads Manager 174 Navigating Facebook Ads Manager 174 Optimization 184 Facebook Reports 194 Wrapping Up and Looking Forward 201 Appendix A Facebook Ads Preflight Pocket Checklist 205 Appendix B The Great Big Search & Social Media Marketing Twitter Follow List 209 Appendix C Facebook Targeting Segments 219 Fortune 500 Companies 220 Job Titles 222 Weapons 225 Tech and Gaming 226 Interests Bucket Family Roles 228 Health 229 Outdoor Activities 231 Winter Sports and Activities 234 Sports 236 Green Living 238 Wine 239 Home/Garden 239 Discount 240 Tough Times 240 Music 241 Hobbies 242 Business 242 Chatting/RPG 243 Media with Cult Followings 244 Index 249

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Book SynopsisThe ultimate guide to Google AdWords is fully updated for its third edition This is the ultimate guide for those who want to quickly get beyond AdWords basics to learn and apply the advanced techniques and tactics that are used by Fortune 500 companies.Table of ContentsForeword xxxi Introduction xxxiii Chapter 1 Understanding Search Theory 1 The Origins of Google AdWords 2 Google Enters the Arena 5 Google AdWords Select Revolutionizes PPC 6 The Psychology of Search 7 Turning Concepts into Words 8 Understanding Search Results 10 The Purpose of Ad Copy 11 Landing Pages Lead to New Customers 12 Advertising Is Not Advertising When It Is Information 14 Goal Alignment: Google vs. You vs. the Searcher 15 Best Practices for Applying Search Theory 17 Chapter 2 Performing Keyword Research 19 Understanding the Buying Funnel 20 Examining the Buying Funnel Phases 21 How Do Consumers Flow Through Your Buying Funnel? 22 Understanding Keywords 23 Types of Commercial Keywords 24 Finding Keyword Ideas 26 How Many Keywords Should You Have in Your Account? 29 Creating Keyword Lists 31 Using Long-Tail Keywords 33 Wide vs. Deep Keywords 35 Discerning Keyword Match Types 36 Broad Match 37 Modified Broad Match 38 When Should You Use Broad Match? 40 Phrase Match 40 Exact Match 42 Variation Match 43 Which Match Type Is Best? 44 Using Negative Match 46 Implementing Negative Keywords 46 Negative Broad Match 49 Negative Phrase Match 50 Negative Exact Match 51 Putting Negative and Positive Keywords Together 52 Researching Negative Keywords 53 Using Advanced Organizational Techniques 55 Adding Multiple Match Types to the Same Ad Group 55 Restricting Match Types by Ad Group 56 Restricting Match Types by Campaign 56 Taking Control of Your Ad Display 57 Best Practices for Conducting Keyword Research 58 Chapter 3 Keyword Tools: Extracting Valuable Data from Google 59 AdWords Keyword Planner 60 Generating Keyword Ideas 61 Advanced Options and Filters 65 Ad Group and Keyword Ideas 69 Traffic Estimates 76 AdWords Keyword Planner vs Third-Party Keyword Tools 82 Google Trends 83 What Services Should You Offer? 85 Determining Your Messaging 87 Determining Consumer Interest 88 Bing Ads Intelligence 89 Best Practices for Using Keyword Tools 90 Chapter 4 Writing Compelling Ads 93 Do Your Ads Reflect the Search Query? 94 Writing Effective Ads 96 Calls to Action 97 Touching the Emotional Core 98 Following Google’s Editorial Guidelines 99 Character Lengths 99 Editorial Requirements 100 Developing Unique Selling Propositions 102 Distinguishing Features and Benefits 103 Benefits, Features, and the Buying Funnel 104 When to Use a Feature vs. a Benefit 105 Employing Themes That Get Clicks 106 Utilizing Numbers in Ads 107 How Strong Is Your Call to Action? 110 Writing Informational Ad Copy 111 Utilizing Negative Ad Copy 114 Do Not Forget the Display URL 114 Controlling Your Mobile Ads 116 Spicing Up Your Ads with Ad Extensions 118 Sitelink Extensions 118 Call Extensions 125 Additional Extensions 127 Limited Betas for New Extensions 129 Showcasing Your Products with PLAs 129 Following the Law: Trademarks 131 Trademark Exceptions 134 The Quest for the Holy Grail of Advertising 135 Best Practices for Writing Compelling Ads 136 Chapter 5 Creating Landing Pages That Convert Searchers into Buyers 139 Does Your Landing Page Answer the Searcher’s Question? 140 Everything about Destination URLs 142 Using Destination URLs for Tracking 144 Complying with Destination URL Editorial Policies 151 Choosing Landing Pages That Increase Conversion Rates 152 Choosing Landing Pages Based on the Type of Query 153 Differentiating Local Business Queries 157 Using Segmentation Pages 159 Using Forms as Landing Pages 160 Thanking Your Customers 162 Crafting Perfect Landing Pages 164 Employing Usability, Trust, and Web Technology 164 Using Web Technology to Implement Usability and User Security 165 Psychological Factors That Increase Conversion Rates 173 Your Website’s Usability Goals 180 Best Practices for Landing Pages 181 Chapter 6 Learning Advanced Optimization Techniques 183 Optimizing for Traffic 184 Exploring Strategies to Show Your Ads More Often 184 Taking Advantage of Dynamic Keyword Insertion 190 Increasing Page Views 194 Optimizing for Conversions 198 Writing Ad Copy That Sells 199 Creating Landing Pages That Increase Conversions 200 Making Additional Conversions to Increase Your Profits 210 Best Practices for Advanced Optimization Techniques 213 Chapter 7 Demystifying Quality Score 215 What Is Quality Score? 216 How Quality Score Affects Ad Rank 218 Quality Score Factors for Search 221 Viewing Your Quality Score 225 Landing Page Quality: Making Your Pages Relevant 228 Spiderability 228 Relevance 229 Transparency 230 Navigation 230 Estimating Your First Page Bid 231 Understanding the Display Network Quality Score 233 Quality Score for Managed Placements 234 Diagnosing Your Quality Scores 235 Ignoring Quality Score 240 Increasing Quality Scores 243 Creating Highly Relevant Ad Groups 244 Ad Testing to Increase Quality Scores 246 Landing Page Fixes 248 What to Do if Your Quality Score Drops 249 Quality Score FAQs 251 Best Practices for Optimizing Quality Scores 254 Chapter 8 Beyond Text: Employing Image, Video, and Mobile Ads 257 Beyond the Desktop: Creating Mobile Ads 258 Reaching Smartphone Users 258 Smartphone Extensions 261 Reaching Other Mobile Users: WAP Mobile Ads 262 Ad Preview and Diagnosis Tool 264 Beyond Static Text: Creating Rich Media Ads 266 Creating Effective Image Ads 266 Developing Profitable Video Ads 272 AdWords Ad Gallery 275 Best Practices for Employing Image, Video, Mobile Ads 278 Chapter 9 Understanding the Display Network 279 What Is the Display Network? 280 Advantages of the Display Network 281 Display Targeting Methods 282 Automatic vs. Managed Placements 283 Creating Search- and Display-Only Campaigns 284 Managing Ad Group Targeting 285 Creating a Successful Display Network Campaign 286 Creating Keyword-Based Display Ad Groups 287 Display Network Topic Targeting 292 Targeting Ads Based on a User’s Interest 296 Placement Targeting: Choose the Actual Sites Where Your Ads Are Displayed 298 Blocking Your Ads from Being Shown across the Display Network 305 Determining Negative Display Keywords 309 Smart Pricing: Measure Success with Cost per Conversion 310 Choosing CPM or CPC Bidding 312 Using the Display Planner Tool 314 Best Practices for the Display Network 320 Chapter 10 Utilizing Advanced Display Network Techniques 323 Remarketing: Bringing Visitors Back to Your Site 324 Define an Audience 324 Place the Script on Your Site 328 Create a Remarketing Ad Group 330 The 100 Cookie Rule 332 Remarketing Strategies 332 Don’t Creep Out Your Customers 340 Flexible Targeting: Mixing and Matching Every Display Targeting Option 341 Flexible Targeting Options 342 Bid Modifiers for Display 344 Flexible Bidding Examples 345 Optimizing Your Display Campaigns 351 Organizing Your Display Campaigns 353 Creating Scenarios to Understand and Reach Your Target Audience 357 Writing Effective Display Ads 359 Best Practices for Advanced Display Network Advertising 361 Chapter 11 Utilizing Advanced Geographic Targeting Techniques 363 What Is Geographic Targeting? 364 The Technology behind Location Targeting 364 How Accurate Is Location Targeting? 366 Reaching Users in Specific Locations 369 Finding Locations to Target 370 Radius Targeting 374 Location Groups and Bid Modifiers 375 Advanced Location Targeting Options 376 Location Targeting Considerations 378 Targeting Multiple Countries 378 Reaching Users in an Area Smaller than a Country 380 Treating Locals and Nonlocals Differently in Your Ad Copy 385 Automatically Inserting Your Address into the Ad Copy 387 A Case Study into Local Belief Systems 390 Viewing Geographic Results 391 Geographic Performance Reports 393 Best Practices for Geographic Targeting 396 Chapter 12 Saving Time and Scaling Accounts with AdWords Editor 399 AdWords Editor Overview 400 Choosing Your Viewpoint 400 Viewing Your Account in AdWords Editor 404 Scaling Your Account 408 Importing Keywords 409 Creating Thousands of Keywords and Ad Groups 411 Easily Creating Thousands of Ads 414 Optimizing Display with AdWords Editor 420 Best Practices for Using AdWords Editor 421 Chapter 13 Devising Profitable Bid Strategies 423 Setting Your Marketing Goals 424 Measuring Results with Google’s Conversion-Tracking Code 425 AdWords Conversion-Tracking Code 426 Google Analytics Tracking 430 Accessing Valuable Conversion Data in AdWords Reports 432 Tracking Phone Calls 434 Exploring AdWords Bidding Options 435 Focus on Clicks, Option 1 435 Focus on Clicks, Option 2 435 Enhanced CPC 436 Conversion Optimizer 437 Focus on Impressions 443 Flexible Bidding 443 Profitable Bidding Strategies 448 ROAS vs Profit 449 Revenue per Click 450 Taking Margins into Account 453 How Can Publishers Determine Revenue per Click? 455 Tracking Long Sales Cycles with Conversion Funnels 457 Calculating Your Max CPC 460 Setting Bids Based on ROAS 460 Bidding for Exposure 461 Bid Modifiers: Automatically Changing Bids by Time, Geography, Devices, and More 464 Location Bid Modifiers 467 Ad Scheduling: Automatically Changing Bids by Time Periods 471 Finding Conversion Information by Time Frames 473 Examples of Ad Scheduling Success 476 Creating Time-Sensitive Offers 479 Device Modifiers 480 Understanding Attribution Management 481 Examining AdWords Reports to Make ROAS Bid Decisions 484 Best Practices for Utilizing Profitable Bid Strategies 487 Chapter 14 Organizing Accounts Successfully 489 What Is an AdWords Account? 490 What Are the Limits of an AdWords Account? 490 Managing Multiple Accounts the Easy Way 491 Becoming a Google Partner 494 Developing a Successful Campaign Structure 496 Reasons to Create New Campaigns 496 Structuring Campaigns to Achieve Business Goals 497 Organizing an Ad Group to Increase CTR and Conversion Rates 513 Ad Group Organization for Mobile Bid Modifiers 515 Best Practices for Account Organization Strategies 516 Chapter 15 Implementing Testing Techniques That Will Increase Profits 519 Testing Is Essential to Increasing Profits 520 Testing Ad Copy to Increase Conversions 520 Ad Copy Messages You Should Test 521 Ad Copy Themes to Spark Your Creativity 521 Test Discounts Instead of Prices 522 Creating the Ad Copy Test 525 General Guidelines for Statistical Significance 527 Measuring the Results of Your Ad Test 529 Multi-Ad Group Testing 532 Testing Mobile Ads 534 Testing Landing Pages to Increase Conversions 535 Testing Where to Send Traffic 536 Landing Page Testing Factors 541 Making Ads and Landing Pages Work Together 547 Essential Items to Test First 553 Creating a Landing Page Test 553 Testing Profit per Click and Profit per Impression 556 AdWords Campaign Experiments 559 Best Practices for Testing Techniques That Will Increase Profits 561 Chapter 16 AdWords Reports: Extracting Actionable Information 563 Choosing General AdWords Report Settings 564 Customizing the Interface 564 Downloading Your Data 568 Using Reports to Optimize Your Account 571 Campaign Reports 571 Ad Group Performance Report 573 Ad Performance Report 573 Keyword Report 576 Display Network Reports 579 Dimensions Reports 581 Creating Custom Alerts 585 Best Practices for Using AdWords Reports 587 Chapter 17 Step by Step: Creating and Monitoring Your AdWords Account 589 Before You Create Your Account 590 Creating Campaigns 592 Creating Search Campaigns 593 Creating Display-Targeted Campaigns 597 Creating Managed Placements Campaigns 598 Other Campaign Types 600 Optimizing Ongoing Campaigns 601 Optimizing Search Campaigns 601 Managing Maximize Clicks Campaigns 605 Optimizing Display Campaigns 606 Optimizing Managed Placements Campaigns 608 Optimizing CPM Campaigns 609 Optimizing Other Campaign Types 611 Creating an Optimization Schedule 612 Best Practices for Creating and Managing Your AdWords Account 615 Glossary 619 Index 627

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Book SynopsisAchieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner''s guide to exceeding customer expectations by getting more out of your data using JMP. Uniquely bifunctional, this book is divided into two parts: the first half of the book shows you what JMP can do for you. You''ll discover how to wring every last drop of insight out of your data, and let JMP parse reams of raw numbers into actionable insight that leads to better strategic decisions. You''ll also discover why it works so well; clear explanations break down the Connectivity platform and metrics in business terms to demystify data analysis and JMP while giving you a macro view of the benefits that come from optimal implementation. The second half of the book is for your technical team, demonstrating how to implement specific solutions relating to data set development and data virtualization. In the end, your organizationTable of ContentsPreface xv Chapter 1 Generalized Context for Decision Process Improvement 1 1.1 Situational Assessment (Current State) 3 1.2 Problem Statement 11 1.3 Visualizing State Transition 15 1.4 Metrics On-Demand 20 Chapter 2 Real-Time Metrics Business Case 25 2.1 Project Description and Objectives—A Case Study 27 2.2 Solution Description 31 2.3 Cost and Benefit Analysis 34 2.4 Financial Assessment 37 2.5 Implementation Timeline 42 2.5.1 Contemplating Startup 42 2.5.2 Skills Dependencies and Timeline Consideration 44 2.5.3 Implementation Starting Point 46 2.5.4 Implementation to Deployment 49 2.6 Critical Assumptions and Risk Assessment 50 2.6.1 Critical Assumptions 50 2.6.2 Risk Assessment 51 2.7 Recommendations: Transmigrate the Enterprise 58 Chapter 3 Technical Details and Practical Implementation 63 3.1 Hardware Foundations 69 3.2 Solution Stack 70 3.3 Integration of Hardware and Software Infrastructure 72 3.4 Build Out 72 3.5 The Construction of a Metric 79 3.6 Metric Case Study 80 Chapter 4 Harvesting Benefits and Extensibility 99 4.1 Benefits Example 100 4.2 Extensibility 101 4.3 Configuration Management Version Control 102 Chapter 5 So What About a Bad Economy? 107 5.1 Overachievement—Data Virtualization 110 5.2 JMP Connection as the Universal Server 114 5.3 Well-Formed Data 117 5.4 Linked Data 120 Chapter 6 Decision Streams 133 Chapter 7 Delivery and Presentations 139 7.1 Push Versus Pull Delivery 140 7.2 Presentation 143 7.3 DIY, But Leave the Poor Bi Person Alone! 156 7.4 Advanced Presentation Method 157 Chapter 8 In Closing (As-Built) 163 Glossary 169 Appendix A Server-Side PHP Code 173 Appendix B JMP JSL Time Constant Learning Curve Script 175 Appendix C JMP GUI User Interface Code Example 181 Appendix D Resource Description Framework File Example 185 Appendix E Sample Hardware Requirements 191 Appendix F Early Warning Deliverable 193 Appendix G JMP PRO Connections: The Transversality of the Capability Maturity Model 203 G.1 Tangential Concept 204 G.2 Transversal Concept 205 G.3 Univariate to Multivariate Process Control 206 G.4 JMP Process Screening 208 G.5 Transversal Maturity Space in Relation to JMP PRO Features 210 G.6 Summary 212 References 213 Suggested Reading 217 Index 219

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Book SynopsisText As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS VTable of ContentsPreface xi Acknowledgments xiii About the Authors xv Introduction 1 Chapter 1 Text Mining and Text Analytics 3 Chapter 2 Text Analytics Process Overview 15 Chapter 3 Text Data Source Capture 33 Chapter 4 Document Content and Characterization 43 Chapter 5 Textual Abstraction: Latent Structure, Dimension Reduction 73 Chapter 6 Classification and Prediction 103 Chapter 7 Boolean Methods of Classification and Prediction 125 Chapter 8 Speech to Text 139 Appendix A Mood State Identification in Text 157 Appendix B A Design Approach to Characterizing Users Based on Audio Interactions on a Conversational AI Platform 175 Appendix C SAS Patents in Text Analytics 189 Glossary 197 Index 203

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Book SynopsisThe Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert on topicscentered on molecular modeling, such ascomputer-assisted molecular design (CAMD), quantum chemistry, molecular mechanics and dynamics, and quantitative structure-activity relationships (QSAR). This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Topics in Volume31 include:Lattice-Boltzmann Modeling of Multicomponent Systems: An IntroductionModeling Mechanochemistry from First PrinciplesMapping Energy Transport Networks in ProteinsThe Role of Computations in CatalysisThe Construction of Ab Initio Based Potential Energy SurfacesUncertainty Quantification for Molecular DynamicsTable of ContentsList of Contributors ix Preface xi Contributors to Previous Volumes xv 1 Lattice-Boltzmann Modeling of Multicomponent Systems: An Introduction 1Ulf D. Schiller and Olga Kuksenok Introduction 1 The Lattice Boltzmann Equation: A Modern Introduction 4 A Brief History of the LBM 5 The Lattice Boltzmann Equation 7 The Fluctuating Lattice Boltzmann Equation 23 Boundary Conditions 25 Fluid–Particle Coupling 30 LBM for Multiphase Fluids 37 Governing Continuum Equations 37 Lattice Boltzmann Algorithm for Binary Fluid: Free-Energy Approach 42 Minimizing Spurious Velocities 47 Conclusions 50 References 51 2 Mapping Energy Transport Networks in Proteins 63David M. Leitner and Takahisa Yamato Introduction 63 Thermal and Energy Flow in Macromolecules 65 Normal Modes of Proteins 65 Simulating Energy Transport in Terms of Normal Modes 69 Energy Diffusion in Terms of Normal Modes 70 Energy Transport from Time Correlation Functions 73 Energy Transport in Proteins is Inherently Anisotropic 75 Locating Energy Transport Networks 77 Communication Maps 77 CURrent calculations for Proteins (CURP) 80 Applications 83 Communication Maps: Illustrative Examples 83 CURP: Illustrative Examples 89 Future Directions 98 Summary 99 Acknowledgments 100 References 100 3 Uncertainty Quantification for Molecular Dynamics 115Paul N. Patrone and Andrew Dienstfrey Introduction 115 From Dynamical to Random: An Overview of MD 118 System Specification 119 Interatomic Potentials 121 Hamilton’s Equations 123 Thermodynamic Ensembles 128 Where Does This Leave Us? 131 Uncertainty Quantification 131 What is UQ? 132 Tools for UQ 136 UQ of MD 143 Tutorial: Trajectory Analysis 143 Tutorial: Ensemble Verification 148 Tutorial: UQ of Data Analysis for the Glass-Transition Temperature 151 Concluding Thoughts 161 References 162 4 The Role of Computations in Catalysis 171Horia Metiu, Vishal Agarwal, and Henrik H. Kristoffersen Introduction 171 Screening 172 Sabatier Principle 173 Scaling Relations 175 BEP Relationship 176 Volcano Plots 180 Some Rules for Oxide Catalysts 189 Let Us Examine Some Industrial Catalysts 191 Sometimes Selectivity is More Important than Rate 191 Sometimes We Want a Smaller Rate! 191 Sometimes Product Separation is More Important than the Reaction Rate 193 Some Reactions are Equilibrium-limited 193 The Cost of Making the Catalyst is Important 194 The Catalyst Should Contain Abundant Elements 194 A Good Catalyst Should not be Easily Poisoned 195 Summary 195 References 196 5 The Construction of Ab Initio-Based Potential Energy Surfaces 199Richard Dawes and Ernesto Quintas-Sánchez Introduction and Overview 199 What is a PES? 199 Significance and Range of Applications of PESs 204 Challenges for Theory 207 Terminology and Concepts 209 The Schrödinger Equation 209 The BO Approximation 210 Mathematical Foundations of (Linear) Fitting 215 Quantum Chemistry Methods 221 General Considerations 221 Single Reference Methods 223 Multireference Methods 225 Compound Methods or Protocols 227 Fitting Methods 229 General Considerations and Desirable Attributes of a PES 229 Non-Interpolative Fitting Methods 231 Interpolative Fitting Methods 239 Applications 242 The Automated Construction of PESs 242 Concluding Remarks 248 Acknowledgements 250 Acronyms/Abbreviations 250 References 251 6 Modeling Mechanochemistry from First Principles 265Heather J. Kulik Introduction and Scope 265 Potential Energy Surfaces and Reaction Coordinates 266 Theoretical Models of Mechanochemical Bond Cleavage 268 Linear Model (Kauzmann, Eyring, and Bell) 268 Tilted Potential Energy Profile Model 270 First-Principles Models for Mechanochemical Bond Cleavage 271 Constrained Geometries Simulate External Force (COGEF) 271 Force-Modified Potential Energy Surfaces 273 Covalent Mechanochemistry 278 Overview of Characterization Methods 278 Representative Mechanophores 280 Representative Mechanochemistry Case Studies 281 Benzocyclobutene 281 gem-Difluorocyclopropane 285 PPA: Heterolytic Bond Cleavage 288 Mechanical Force for Sampling: Application to Lignin 292 Best Practices for Mechanochemical Simulation 296 Conclusions 298 Acknowledgments 299 References 300 Index 313

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Book SynopsisTable of ContentsPreface xiii Section I Establishing a Framework and Process 1 Chapter 1 Health and Healthcare Data Visualizations of Historical Importance 3 Chapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data 9 Search for Characteristics and Core Competencies 10 Get to Know the Data 11 Classifications, Intent, Purpose, and Lineage 12 Two Types of Data 14 Qualitative/Categorical Data 14 Quantitative/Numerical Data 14 Scales/Levels of Measure 15 Nominal 15 Ordinal 16 Interval 17 Ratio 18 Summary 19 Chapter 3 Requirements-Gathering and Design Methods 21 Design Thinking Foundational Concepts 22 Design Methods 23 Contextual Inquiry 23 Mental Models 24 Personas 26 Persona Creation Guide 27 Graphic Organizers 29 Guided Analytics Framework 29 Summary Overview Dashboard 30 Supporting Focused Reports 30 Details 31 Multidimensional Exploratory Displays (MEDs™) 31 Sketching 32 Prototyping 33 Testing 34 Summary 36 Section II Perceiving the Best Practices of Data Visualization 37 Chapter 4 The Research 39 Research Informs Data Visualization Best Practices 39 Preattentive Attributes 41 Preattentive Attributes at Work 43 Gestalt Principles 46 Color Theory 48 The Power of White Space 53 Where People Look 54 Summary 54 Chapter 5 Table Design Checklist 55 Fundamentals of Table Design 55 Organization/Categorization 55 Non-Data Ink 56 Fonts 56 Number Alignment and Formatting 56 Labels 58 Summary 58 Chapter 6 Powerful Visualizations in Four Shapes 59 Bars, Lines, Points, and Boxes 59 Shape One: Bars 61 Bar Basics 61 Using Bars To: See How You’re Doing 63 Distributions 63 Histograms 63 Population Pyramid (Paired Bars) 65 Ranking 67 Change over Time 68 Comparing Multiple Data Points 70 Proportions | Part-to-Whole 71 Challenging the 100% Myth 73 Deviation (Difference, Variation) 73 Ranges and Comparative Values 74 Displaying the Vital Few: Pareto Charts 77 Bars Are Not Boring 78 Shape Two: Lines 79 Line Basics 79 Using Lines To: See How You’re Doing 83 As a Reference | Comparison 83 Change over Time 84 Change over Time | Sparklines 86 Change over Time | Deviation Graphs 87 Distributions 88 Distributions | The Empirical Rule and Control Charts 88 Statistical Process Control Charts (SPCs) and Geometric (G) Charts 90 Relationships | Correlations 91 Shape Three: Points 92 Point Basics 92 Using Points To: See How You’re Doing 94 Distributions 94 Revealing Details 95 Change over Time 96 Correlation 96 Hierarchy Quadrant 97 Location Details 98 Shape Four: Boxes 98 Box Basics 99 Using Boxes To: See How You’re Doing 99 Distribution 99 Multiple Values 100 Change over Time and Utilization Rates 101 Hierarchical Data 101 Other Shapes 102 Summary 103 Chapter 7 Maps 105 Using Maps to Gain Insights 105 Geographic Maps 105 Choropleth Maps 106 Hex-Tile Maps 109 Symbol/Dot-Density Maps 110 Proportional Symbol Maps 112 When Not to Use a Map 113 Summary 114 Chapter 8 Graphs and Charts to Never Use or Use with Caution 115 When “Cool Displays” Are Anything But 115 Pie and Donut Charts 117 Why People Use Them 117 Characteristics 118 Challenges 118 Best Practice Alternative 119 Multiples of Several-Part Stacked Bar Charts (MSPSBCs) 121 Why People Use Them 121 Characteristics 121 Challenges 121 Best Practice Alternative 124 Bubble Charts 124 Why People Use Them 124 Characteristics 125 Challenges 125 Best Practice Alternative 126 Treemaps 128 Why People Use Them 128 Characteristics 129 Challenges 129 Best Practice Alternative 130 Marimekko (Mekko or Mosaic) Charts 132 Why People Use Them 132 Characteristics 132 Challenges 134 Best Practice Alternative 134 Radial Bar and Petal Charts 134 Why People Use Them 134 Characteristics 135 Challenges 135 Best Practice Alternative 136 Radar Charts 138 Why People Use Them 138 Characteristics 138 Challenges 138 Best Practice Alternative 139 Sankey Diagrams 141 Why People Use Them 141 Characteristics 141 Challenges 142 Best Practice Alternative 144 One More Thing: 3-D 145 Summary 146 Chapter 9 Making Accessible Visualizations 149 Accessible Design is Good Design 149 Accessibility in Data Visualization 150 Ways to Make Accessible Data Visualizations 151 Summary 158 Section III Creating Compelling Data Displays 159 Chapter 10 Dashboards, Reports, and Multidimensional Exploratory Displays (MEDs™) 161 Definitions Matter 161 Dashboards 162 Dashboards Defined 162 Purpose/Objective 162 Data/Information 163 Design 164 Example Dashboards 165 Dashboard Summary 169 Reports 170 Reports Defined 170 Purpose/Objective 170 Design 170 Example Reports 171 Report Summary 176 Multidimensional Exploratory Displays (MEDs™) 176 MEDs™ Defined 177 Purpose/Objective 177 Design 177 Example MED™ 177 MEDs™ Summary 184 Summary 184 Chapter 11 Infographics 185 "No Tobacco Day" Infographic 186 Measles and Vaccinations Infographic 188 Infographic vs. Infoposter 191 Summary 194 Section IV Closing Thoughts and Recommended Reading and Resources 195 Closing Thoughts 197 Fluency and Mastery 197 Bitten by the Viz Bug | Recommended Reading and Resources 199 Recommended Reading 199 Resources 201 Accessibility Resources 202 Author Bios 203 References 207 Index 211

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Book SynopsisLearn to use, and not be used by, datato make more insightful decisions The availability of data and various forms of AI unlock countless possibilities forbusiness decision makers.But what do you do when youfeelpressuredto cede yourposition in the decision-making process altogether? Decision IntelligenceForDummiespumps the brakes onthe growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions.The book shows you how toachieve maximum flexibilitybyusingeveryavailable resource, and not just raw data, to make the most insightful decisions possible. In this timely book, you'll learn to: Make data a means to an end, rather thananend in itself, by expanding yourdecision-making inquiriesFind a new path to solid decisionsthat includes, but isn't dominated, by quantitative dataMeasure the results of your newframeworkto prove its effectiveness and efficiencyand expand it to a whole team or company Perfect forbusiness leaders in technology and finance,Decision IntelligenceForDummiesis ideal for anyone who recognizes that data isnot the only powerful tool in your decision-making toolbox.This book shows you how to be guided, and not ruled, by the data.Table of ContentsIntroduction 1 About This Book 2 Conventions Used in This Book 3 Foolish Assumptions 3 What You Don’t Have to Read 4 How This Book Is Organized 5 Part 1: Getting Started with Decision Intelligence 5 Part 2: Reaching the Best Possible Decision 5 Part 3: Establishing Reality Checks 5 Part 4: Proposing a New Directive 6 Part 5: The Part of Tens 6 Icons Used in This Book 6 Beyond the Book 7 Where to Go from Here 7 Part 1: Getting Started with Decision Intelligence 9 Chapter 1: Short Takes on Decision Intelligence 11 The Tale of Two Decision Trails 12 Pointing out the way 13 Making a decision 16 Deputizing AI as Your Faithful Sidekick 18 Seeing How Decision Intelligence Looks on Paper 20 Tracking the Inverted V 21 Estimating How Much Decision Intelligence Will Cost You 22 Chapter 2: Mining Data versus Minding the Answer 25 Knowledge Is Power — Data Is Just Information 26 Experiencing the epiphany 26 Embracing the new, not-so-new idea 28 Avoiding thought boxes and data query borders 29 Reinventing Actionable Outcomes 32 Living with the fact that we have answers and still don’t know what to do 32 Going where humans fear to tread on data 34 Ushering in The Great Revival: Institutional knowledge and human expertise 36 Chapter 3: Cryptic Patterns and Wild Guesses 39 Machines Make Human Mistakes, Too 40 Seeing the Trouble Math Makes 42 The limits of math-only approaches 42 The right math for the wrong question 43 Why data scientists and statisticians often make bad question-makers 46 Identifying Patterns and Missing the Big Picture 48 All the helicopters are broken 48 MIA: Chunks of crucial but hard-to-get real-world data 49 Evaluating man-versus-machine in decision-making 51 Chapter 4: The Inverted V Approach 53 Putting Data First Is the Wrong Move 54 What’s a decision, anyway? 55 Any road will take you there 56 The great rethink when it comes to making decisions at scale 57 Applying the Upside-Down V: The Path to the Output and Back Again 59 Evaluating Your Inverted V Revelations 60 Having Your Inverted V Lightbulb Moment 61 Recognizing Why Things Go Wrong 63 Aiming for too broad an outcome 63 Mimicking data outcomes 64 Failing to consider other decision sciences 64 Mistaking gut instincts for decision science 64 Failing to change the culture 65 Part 2: Reaching the Best Possible Decision 67 Chapter 5: Shaping a Decision into a Query 69 Defining Smart versus Intelligent 70 Discovering That Business Intelligence Is Not Decision Intelligence 71 Discovering the Value of Context and Nuance 72 Defining the Action You Seek 73 Setting Up the Decision 74 Decision science versus data science 75 Framing your decision 77 Heuristics and other leaps of faith 78 Chapter 6: Mapping a Path Forward 81 Putting Data Last 82 Recognizing when you can (and should) skip the data entirely 83 Leaning on CRISP-DM 84 Using the result you seek to identify the data you need 85 Digital decisioning and decision intelligence 85 Don’t store all your data — know when to throw it out 87 Adding More Humans to the Equation 88 The shift in thinking at the business line level 90 How decision intelligence puts executives and ordinary humans back in charge 92 Limiting Actions to What Your Company Will Actually Do 94 Looking at budgets versus the company will 95 Setting company culture against company resources 98 Using long-term decisioning to craft short-term returns 99 Chapter 7: Your DI Toolbox 101 Decision Intelligence Is a Rethink, Not a Data Science Redo 102 Taking Stock of What You Already Have 103 The tool overview 104 Working with BI apps 105 Accessing cloud tools 106 Taking inventory and finding the gaps 107 Adding Other Tools to the Mix 108 Decision modeling software 109 Business rule management systems 110 Machine learning and model stores 110 Data platforms 112 Data visualization tools 112 Option round-up 113 Taking a Look at What Your Computing Stack Should Look Like Now 113 Part 3: Establishing Reality Checks 115 Chapter 8: Taking a Bow: Goodbye, Data Scientists — Hello, Data Strategists 117 Making Changes in Organizational Roles 118 Leveraging your current data scientist roles 120 Realigning your existing data teams 121 Looking at Emerging DI Jobs 122 Hiring data strategists versus hiring decision strategists 125 Onboarding mechanics and pot washers 127 The Chief Data Officer’s Fate 127 Freeing Executives to Lead Again 129 Chapter 9: Trusting AI and Tackling Scary Things 131 Discovering the Truth about AI 132 Thinking in AI 133 Thinking in human 136 Letting go of your ego 137 Seeing Whether You Can Trust AI 138 Finding out why AI is hard to test and harder to understand 140 Hearing AI’s confession 142 Two AIs Walk into a Bar 144 Doing the right math but asking the wrong question 146 Dealing with conflicting outputs 147 Battling AIs 148 Chapter 10: Meddling Data and Mindful Humans 151 Engaging with Decision Theory 152 Working with your gut instincts 153 Looking at the role of the social sciences 155 Examining the role of the managerial sciences 156 The Role of Data Science in Decision Intelligence 157 Fitting data science to decision intelligence 157 Reimagining the rules 159 Expanding the notion of a data source 161 Where There’s a Will, There’s a Way 163 Chapter 11: Decisions at Scale 165 Plugging and Unplugging AI into Automation 167 Dealing with Model Drifts and Bad Calls 168 Reining in AutoML 170 Seeing the Value of ModelOps 173 Bracing for Impact 174 Decide and dedicate 174 Make decisions with a specific impact in mind 175 Chapter 12: Metrics and Measures 179 Living with Uncertainty 180 Making the Decision 182 Seeing How Much a Decision Is Worth 185 Matching the Metrics to the Measure 187 Leaning into KPIs 188 Tapping into change data 191 Testing AI 193 Deciding When to Weigh the Decision and When to Weigh the Impact 195 Part 4: Proposing A New Directive 197 Chapter 13: The Role of DI in the Idea Economy 199 Turning Decisions into Ideas 200 Repeating previous successes 201 Predicting new successes 202 Weighing the value of repeating successes versus creating new successes 202 Leveraging AI to find more idea patterns 203 Disruption Is the Point 205 Creative problem-solving is the new competitive edge 205 Bending the company culture 207 Competing in the Moment 207 Changing Winds and Changing Business Models 209 Counting Wins in Terms of Impacts 210 Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213 Facing the What-If Challenge 214 What-if analysis in scenarios in Excel 216 What-if analysis using a Data Tables feature 217 What-if analysis using a Goal Seek feature 218 Learning Lessons from the Pandemic 220 Refusing to make decisions in a vacuum 221 Living with toilet paper shortages and supply chain woes 222 Revamping businesses overnight 224 Seeing how decisions impact more than the Land of Now 226 Rebuilding at the Speed of Disruption 228 Redefining Industries 230 Chapter 15: Trickle-Down and Streaming-Up Decisioning 231 Understanding the Who, What, Where, and Why of Decision-Making 232 Trickling Down Your Upstream Decisions 234 Looking at Streaming Decision-Making Models 236 Making Downstream Decisions 238 Thinking in Systems 240 Taking Advantage of Systems Tools 241 Conforming and Creating at the Same Time 244 Directing Your Business Impacts to a Common Goal 245 Dealing with Decision Singularities 246 Revisiting the Inverted V 248 Chapter 16: Career Makers and Deal-Breakers 251 Taking the Machine’s Advice 252 Adding Your Own Take 255 Mastering your decision intelligence superpowers 257 Ensuring that you have great data sidekicks 257 The New Influencers: Decision Masters 259 Preventing Wrong Influences from Affecting Decisions 262 Bad influences in AI and analytics 262 The blame game 265 Ugly politics and happy influencers 266 Risk Factors in Decision Intelligence 268 DI and Hyperautomation 270 Part 5: The Part of Tens 273 Chapter 17: Ten Steps to Setting Up a Smart Decision 275 Check Your Data Source 275 Track Your Data Lineage 276 Know Your Tools 277 Use Automated Visualizations 278 Impact = Decision 279 Do Reality Checks 280 Limit Your Assumptions 280 Think Like a Science Teacher 281 Solve for Missing Data 282 Partial versus incomplete data 282 Clues and missing answers 282 Take Two Perspectives and Call Me in the Morning 283 Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285 A Pitfalls Overview 285 Relying on Racist Algorithms 286 Following a Flawed Model for Repeat Offenders 287 Using A Sexist Hiring Algorithm 287 Redlining Loans 287 Leaning on Irrelevant Information 288 Falling Victim to Framing Foibles 288 Being Overconfident 288 Lulled by Percentages 289 Dismissing with Prejudice 289 Index 291

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Book SynopsisMachine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader's active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space explor

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Book SynopsisLearn the fundamentals of the Java 17 LTS or Java Standard Edition version 17 Long Term Support release, including basic programming concepts and the object-oriented fundamentals necessary at all levels of Java development.Table of Contents1. Programming Concepts 2. Setting Up the Environment 3. Writing Java Programs 4. Data Types 5. Operators 6. Statements 7. Classes and Objects 8. Methods 9. Constructors 10. Modules11. Object and Objects Classes 12. Wrapper Classes 13. Execution Handling 14. Assertions 15. Strings 16. Dates and Times 17. Formatting Data 18. Regular Expressions 19. Arrays 20. Inheritance 21. Interfaces 22. Enum Types 23. Java Shell Appendix A: Character Encodings Appendix B: Documentation Comments

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Book SynopsisEvery solution that is in some way related to the IoT needs a platform; learn how to create that platform with us. This book is about being agile and reducing your time to market without breaking the bank. It is about designing something that can scale incrementally without rework and potentially disrupting the current work.So, the key questions are: What does it take? How long does it take? And, how much does it take to build your own IoT platform? This book answers these questions and provides you with step-by-step guide to building your own IoT platform. In this book, the author highlights what the core of an IoT platform looks like. There are always some must-haves and some nice-to-haves. This book distinguishes the two and focuses on building the must-haves. Building your IoT platform is not only the most significant cost-saver but can also be a satisfying learning experience. This edition will extend your work with a sample project to clarify the concepts Table of Contents Chapter 1: So… You Want to Build Your Own! · The Background of IoT and Our Focus · How Many Platforms Are Out There? · Platforms Supporting Network Servicing · Platforms Sitting Between Networks and Applications · Application-Layer Development Platforms · What Should a Good IoT Platform Have? · Why Should You Build Your Own IoT Platform? · Summary Chapter 2: The Building Blocks of an IoT Solution · The Functional Blocks of an IoT Solution · The Detailed Block Diagram of an IoT Platform · Is Everything from this Block Architecture Mandatory? · What Is the Proposed Approach? · Summary Chapter 3: The Essentials for Building Your Own Platform · Deciding Cloud Instance Specifics · Additional Specifications · Where Do We Get this Cloud Instance? · What About Our Own Machine? · Expanding on the IoT Platform Block Diagram · Edge Interface, Message Broker, and Message Bus · Message Router and Communications Management · Time-Series Storage and Data Management · REST API Interface · Microservices · Rule Engine · Device Manager and Application Manager · Our Own IoT Platform Block Diagram · Summary Chapter 4: Let’s Create Our Platform Wish List · Connecting with the Platform in Real Time · Using MQTT as the Message Broker · How Do We Want to Store the Data? · Data Storage Schema · Accessing Platform Resources Through APIs · Data Accessing APIs · Elementary Microservices and Utilities · Routing and Filtering Data and Messages · Updated Block Diagram of Our IoT Platform · Summary Chapter 5: Here We Go! · Initializing the Cloud Instance · Register and Create · Choosing an Operating System Image · Choosing the Size · Choosing a Datacenter Region · Finalizing and Creating the Instance · Connecting to Our Cloud Instance · Installing Basic Software Stacks · Installing Apache · Installing MySQL · Installing PHP · Securing the Instance and Software · It’s Easier with a Domain Name · Add Virtual Hosts to Our Web Server · Installing SSL Certificates · Installing Node.js and Node-RED · Modifying Node-RED Settings · Securing our Node-RED Editor · Summary Chapter 6: The Message Broker · What Is MQTT? · Publish and Subscribe Paradigm · Other Features of a Message Broker and MQTT · Quality of Service · Keep Alive Period · Last Will and Testament · The Retained Message · The Best Part: WebSocket · Are We Using the Best Message Broker Option? · When to Utilize a Message Broker and When Not To · Installing a Message Broker · Securing a Message Broker · Summary Chapter 7: Building the Critical Components · Creating a Time-Series Core Database · Installing Required Nodes in Node-RED · Creating First Flow for Our Platform · Adding MQTT Publish Capability · REST API Message Publisher · Creating the Database Listener · REST API Message Retriever · Verifying that Everything Is Working as Expected · Running Node-RED in the Background Continuously · Summary Chapter 8: Configuring the Message Broker · The Difference Between WebSocket and Normal MQTT · Why Is WebSocket Important? · Adding WebSocket to Our MQTT Configuration · Testing WebSocket · Let’s Add User Access Controls · Let’s Check If This Is Working · Using the Forever Tool with the Message Broker · Summary Chapter 9: Creating a REST Interface · Data Access APIs · Adding Time-Based Filters · Data Deletion APIs · Removing Data Records Completely · Adding Microservices to the Platform · Getting the Current Timestamp · Random Code Generator · Adding New Modules to Node-RED · UUID Generator · Email and Text Message Microservice APIs · Configuration of Nodes · SMS Sending Utility · Email-Sending Utility · Summary Chapter 10: Rule Engine and Authentication · Start with the Rule Engine Logic · Creating a Database · Building the Flow Sequence · Testing the Rule Engine · Rule Management APIs · Enable and Disable a Specific Rule · Enable and Disable All Rules · Create a New Rule · Building Another Rule Engine with Node-RED · Adding Authentication to the Data API · What Are Our Options? · What Is the Plan? · Adding Authentication Middleware · Enable and Test Authentication · Our Core Platform Is Ready Now · Summary Chapter 11: Documentation and Testing · Preparing a Valid OpenAPI Specification Document · Platform API Specification File Explained · Preparing Distribution Package for Final Upload · Upload API Docs and Make It Live · Authorize and Test API · Summary Chapter 12: Connecting Your Hardware · Why learn hardware alongwith IoT platform? · Available hardware options · Creating bespoke designs · Choosing the best option for your project · Connectivity options and suitability for project · Various topologies and arrangements § The “why” behind each topology and arrangement · Connecting our hardware to the platform § Two possible modes o Using REST API o Using MQTT o Can you use both? Why and when? § Requirements for each mode o Circuit specific o Firmware specific § How to incorporate them in hardware o Circuit specific o Firmware specific · Other considerations for connecting the hardware · Summary Chapter 13: Let's Build a Better Mousetrap · Backstory of better mousetrap case study § How I got this opportunity § What does “better” mean? § How I decided to approach this problem § Importance of top-down approach · System architecture § High level system design process § Block diagram and explanation · Hardware selection § What are different scenarios § What are potential options § What is on our shortlist · Connectivity choice § What are different scenarios § What are potential options § What is on our shortlist · Front-end application § What are different scenarios § What are potential options § What is on our shortlist · Hardware arrangement § Hardware construction (overview) § How it works § Testing the hardware · Backend buildup on the platform § What additions we need on the platform side § How to build them (details) § Testing the backend · Dashboard for visualization § Building a basic dashboard § How to pool the data · Additional services I built in the mousetrap application § Workflow for CRM § Client alert mechanism § Operator Scheduling § Compliance reporting § Machine learning provision for intelligent pest management § Other business benefits · Project takeaways – real life and for you (as a reader) · Summary Chapter 14: Unlimited Possibilities · What do I mean by unlimited possibilities? · Why is this platform so capable? · Five ideas you can work on § One button – based on my 1btn project o The concept o Block diagram o Key ideas and things to work on o Potential applications § Smart street lamps o The concept o Block diagram o Key ideas and things to work on o Potential applications § Council garbage collection management o The concept o Block diagram o Key ideas and things to work on o Potential applications § Datacenter climate control o The concept o Block diagram o Key ideas and things to work on o Potential applications § People counter for Covid-19 gathering compliance in shops & stores o The concept o Block diagram o Key ideas and things to work on o Potential applications · Summary Chapter 15: What We Built and the Takeaways · Increasing Security for the Cloud Instance · What About SQL Injection Through APIs? · Should We Have Used MongoDB Instead of MySQL? · Some Experts Might Still Try to Talk You Out of This · How Is Our Platform Different from AWS, Google, and Azure? · There Is a New Version of MQTT · My Platform Is Ready. Now What? · The Next Big Thing · If You Need to Find More Resources · Finally

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Book SynopsisThis book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript.The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields.This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.Trade Review“The book can be one of the favourites of a wide range of users from beginners with basic R knowledge to experts. It is especially recommended for students and researchers from social, environmental, and economic fields requiring a consistent and thorough reference always within reach.” (Márta Ladányi, ISCB News, iscb.info, Issue 69, July, 2020)Table of ContentsData for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.- Interactive Visualisation with JavaScript: Highcharts and Mapael.- Appendix

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Book SynopsisThis book provides a scholarly forum for researchers both in academia and industry from a wide range of application areas of smart cities and smart technologies to share their research findings. This book presents contributions on emerging approaches and case studies including future technological trends and challenges. This book is intended for researchers and companies in several areas such as transportation, computer science, and electrical engineering, among others. The book is composed of extended versions of selected papers from the 1st International Conference on Smart Cities and Smart Technologies (MIC-Smart 2019), 7-9 June 2019 Istanbul Turkey. Presents research from a wide range of application areas into smart cities and smart technologies; Includes topics such as smart devices, smart grid, and smart transportation and vehicles; Composed of extended versions of selected papers from the 1st International Conference on Smart Cities and Smart Technologies (MIC-Smart 2019). Table of ContentsIntroduction.- Smart Cities.- Smart Technologies.- Smart Devices.- Smart Grid.- Smart Transportation and Vehicles.- Conclusion.

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Book SynopsisThe Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue UniversityTrade ReviewThe Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University Table of Contents1 Introduction to Dynamic Data Driven Applications Systems.- 2 Tractable Non-Gaussian Representation in Dynamic Data Driven Coherent Fluid Mapping.- 3 Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems.- 4 Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness.- 5 Towards Learning Spatio-Temporal Data Stream Relationships for Failure Detection in Avionics.- 6 Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.- 7 Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Process.- 8 A Computational Steering Framework for Large-Scale Composite Structures.- 9 Development of Intelligent and Predictive Self-Healing Composite Structures using Dynamic Data-Driven Applications Systems.- 10 Dynamic Data-Driven Approach for Unmanned Aircraft Systems aero-elastic response analysis.- 11 Transforming Wildfire Detection and Prediction using New and Underused Sensor and Data Sources Integrated with Modeling.- 12 Dynamic Data Driven Application Systems for Identification of Biomarkers in DNA Methylation.- 13 Photometric Steropsis for 3D Reconstruction of Space Objects.- 14 Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations.- 15 Optimization of Multi-Target Tracking within a Sensor Network via Information Guided Clustering.- 16 Data-Driven Prediction of Confidence for EVAR in Time-varying Datasets.- 17 DDDAS for Attack Detection and Isolation of Control Systems.- 18 Approximate Local Utility Design for Potential Game Approach to Cooperative Sensor Network Planning.- 19 Dynamic Sensor-Actor Interactions for Path-Planning in a Threat Field.- 20 Energy-Aware Dynamic Data-Driven Distributed Traffic Simulation for Energy and Emissions Reduction.- 21 A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids.- 22 Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods.- 23 Design of a Dynamic Data-Driven System for Multispectral Video Processing.- 24 Light Field Image Compression.- 25 On Compression of Machine-derived Context Sets for Fusion of Multi-model Sensor Data.- 26 Simulation-based Optimization as a Service for Dynamic Data-driven Applications Systems.- 27 Privacy and Security Issues in DDDAS Systems.- 28 Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis.- 29 Parzen Windows: Simplest Regularization Algorithm.- 30 Multiscale DDDAS Framework for Damage Prediction in Aerospace Composite Structures.- 31 A Dynamic Data-Driven Stochastic State-awareness Framework for the Next Generation of Bio-inspired Fly-by-feel Aerospace Vehicles.- DDDAS: The Way Forward.

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Book SynopsisThis open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The book’s primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teachers can assign (parts of) the book for a “professional issues” course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academics who are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects.Table of Contents1. Introduction and Overview.- Part I: Privacy Theory and Methods.- 2. Privacy Theories and Frameworks.- 3. Revisiting APCO.- 4. Privacy and Behavioral Economics.- 5. The Development of Privacy Norms.- 6. Privacy Beyond the Individual Level.- Part II: Domains.- 7. Social Media and Privacy.- 8. Privacy-Enhancing Technologies.- 9. Tracking and Personalization.- 10. Healthcare Privacy.- 11. Privacy and the Internet of Things.- Part III: Audiences.- 12. Cross-Cultural Privacy Differences.- 13. Accessible Privacy.- 14. Privacy in Adolescence.- 15. Privacy and Vulnerable Populations.- Part IV: Moving Forward.- 16. User-Tailored Privacy.- 17. The Ethics of Privacy in Research and Design: Principles, Practices, and Potential.- 18. EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era.- 19. Reflections: Bringing Privacy to Practice.

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Book SynopsisThe topics in this book cover a broad range of research interests: from business engineering and its application in corporate and business networking contexts to design science research as well as applied topics, where those research methods have been employed for modeling, data warehousing, information systems management, enterprise architecture management, management of large and complex projects, and enterprise transformation. The book is a Festschrift for Robert Winter in order to appreciate his work and to honor him as a personality with a high reputation in the information systems community. To this end, many professional colleagues or long-time companions both from the Institute of Information Management at the University of St. Gallen as well as from the international research community dedicated articles on topics related to Robert’s research. They reflect his ambition to uncompromisingly conduct high-class research that fuels the research community and at the same time contributes to improved industrial practice. The book is organized in three major parts: Part I “Business Engineering and Beyond” focuses on the methodology strongly shaped by Robert in St. Gallen with a focus on research being applied in corporate contexts. Part II “Design Science Research” spans from reflections on the practice of design science research to perspectives on design science research methodologies and eventually up to considerations to teach design science research methodology. Part III “Applied Fields” combines various applications of design science and related research methodologies with practical problems and future research topics. Table of ContentsPart I: Business Engineering and Beyond.- From Business Engineering to Life Engineering.- Management of Artificial Intelligence: Feasibility, Desirability and Viability.- How Fair Is IS Research?.- From Business Engineering to Digital Engineering: The Role of Metamodeling in Digital Transformation.- From Business Engineering to Digital Engineering: The Role of Metamodeling in Digital Transformation.- On Model-Based Coordination of Change in Organizations.- Part II: Design Science Research.- Reflections on the Practice of Design Science in Information Systems.- Design Science Research of High Practical Relevance.- Design Pattern as a Bridge Between Problem-Space and Solution-Space.- Incremental Accumulation of Information Systems Design Theory.- Assessing the Temporal Validity of Design Knowledge.- Pedagogy for Doctoral Seminars in Design Science Research.- Part III: Applied Fields.- Management of Enterprise-Wide Information Systems.- The Competence Center Health Network Engineering: A Retrospective.- A Research Agenda for Studying Platform Ecosystems.- A Concept for an IT-Supported Integrated Earnings and Risk Management to Strengthen the Resilience of Companies in Times of Crisis.- Data Vault as a Modeling Concept for the Data Warehouse.- Evaluating a Forward-Looking Maturity Model for Enterprise Performance Management.- The Evolution of IT Management Standards in Digital Transformation: Current Status and Research Implications.- Towards Conscious Enterprises: The Role of Enterprise Engineering in Realizing Living Sciences Paradigms into Management Sciences.- Digital Resilience to Normal Accidents in High-Reliability Organizations.- Mind the Gap: Why There Is a Gap Between Information Systems Research and Practice, and How to Manage It.- The Connection Between Winter and Information Systems.

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Book SynopsisThis book constitutes the refereed proceedings of the 21st International TRIZ Future Conference on Automated Invention for Smart Industries, TFC 2021, held virtually in September 2021 and sponsored by IFIP WG 5.4. The 28 full papers and 8 short papers presented were carefully reviewed and selected from 48 submissions. They are organized in the following thematic sections: inventiveness and TRIZ for sustainable development; TRIZ, intellectual property and smart technologies; TRIZ: expansion in breadth and depth; TRIZ, data processing and artificial intelligence; and TRIZ use and divulgation for engineering design and beyond. Chapter ‘Domain Analysis with TRIZ to Define an Effective “Design for Excellence’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsInventiveness and TRIZ for Sustainable Development.- An ideality-based map to describe sustainable design initiatives.- Sustainable digitalization: a systematic literature review to identify how to make digitalization more sustainable.- Nature-Inspired Principles for Sustainable Process Design in Chemical Engineering.- Comparative Analysis of Methods for Identifying Opportunities for Reusing Solid Waste.- TRIZ Evolution Trend-based Public Service Innovation for Enhancing Social Participation of Life Garbage Classification.- Concept Design of Appropriate Technology Based on Circular Economy for Sustainable Development Inferred from Korea Traditional Heating System.- Sustainability in yacht and vessel design through smart spaces: opportunities offered by digital technologies and new materiality.- Hybrid heat pump systems as a possible solution for the energy transition towards sustainable heating systems for buildings.- TRIZ, Intellectual Property and Smart Technologies.- Identifying new application fields of a given technology.- Extraction and Modeling of Chinese Patent Information for Technical Advancement Evaluation.- Concept extraction based on semantic models using big amount of patents and scientific publications data.- Automatic extraction of potentially contradictory parameters from specific field patent texts.- Patent specialization for deep learning information retrieval algorithms.- Patent Data Driven Innovation Logic: Textual pattern exploration to identify innovation logic data.- Patent intelligence analysis to support technology roadmap on the sector of renewable energy.- TRIZ: Expansion in Breadth and Depth.- Matrix 2022: Re-Imagining The Contradiction Matrix.- Improving the construction of RCA+ contradiction trees.- Indicating and assessing quality criteria for cause-effect models.- Application of an FMEA based method to prioritize the initial problem choices in Inventive Design.- TRIZ Application for Digital Product Design & Management.- A reasoned evolutionary study on the actual design of farm tractors.- TRIZ contradiction modelling in family business succession process management: quantitative approach with an application of Grey Incidence Analysis.- A pioneering project on laser pyrolysis based entirely on TRIZ.- TRIZ, Data Processing and Artificial Intelligence.- Element Variation Innovation Thinking: A method of simplifying and reorganizing TRIZ.- Method for formulation, selection and application of elementary TRIZ inventive principles for automated idea generation.- Replicating TRIZ Reasoning through Deep Learning.- Bringing together engineering problems and basic science knowledge, one step closer to systematic invention.- TRIZ Use and Divulgation for Engineering Design and Beyond.- Triz-based Remodelling of Multiple True-False Questions.- Pedagogical approaches and course modality affecting students’ self-efficacy and problem-solving attitudes in a TRIZ-oriented course.- Facilitation of a creative culture through the implementation and initial evaluation of a TRIZ course within an organization.- Main Parameters of Value (MPV) Analysis: Where MPV Candidates Come From.- A global approach to point out priority problems out of experts’ qualitative data.- Integrated Use of TRIZ Tools in Systematic Conceptual Design.- Domain analysis with TRIZ to define an effective “design for excellence” framework.- The Efficient Work with Resources in TRIZ - Resource-Oriented Search (ROS).- Solution Concept Modeling and Evaluation Based on Function- Structure and Behavior Approach in the Context of Inventive Design.

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Book SynopsisThis book provides a sound theoretical base and an extensive practical expansion of smart sustainable cities and societies, while also examining case studies in the area to help readers understand IoT driven solutions in smart cities. The book covers fundamentals, applications, and challenges of IoT for sustainable smart cities and society. With a good understanding of IoT and smart cities, and the associated communication protocols, the book provides an insight into its applications in several areas of smart cities. Models, architectures, and algorithms are presented that provide additional solutions. The main challenges discussed that are associated with IoT involved include security, privacy, authenticity, etc. The book is relevant to researchers, academics, professionals, and students.Trade Review“IoT for sustainable smart cities and society joins a growing body of knowledge that provides fresh insights … . It consists of 14 chapters, with research and case studies on IoT and related technologies applied to the real-world problems. A preface provides a gentle introduction to each. … Readers interested in policy and planning for a country to move toward a human centered smart society, called society 5.0 in japan, should read … .” (Ernest Hughes, Computing Reviews, February 28, 2023)Table of Contents1. Role of Machine Learning and Deep Learning in Internet of Things Tarana singh, Arun Solanki, Sanjay Kumar Sharma 2. Understanding New Age of Intelligent Video Surveillance and Deeper Analysis on Deep Learning Techniques for Object Tracking Preeti Nagrath, Narina Thakur, Rachna Jain, Dharmender Saini, Nitika Sharma, Jude Hemanth 3. Tech to TakeCare: IoT based Smart Solution for Real Time Supervision Srishti Sharma, Virendra Pratap Singh 4. IoT in Healthcare – A 360 degree View Rishika Mehta, Kavita Khannaa, Jyoti Sahni5. Industrial IoT Applications Jyotsana Grover6. An Interactive Analysis Platform for Bus Movement: A Case Study of One of the World’s Largest Annual Gathering. Emad Felemban, Faizan Ur Rehman7. Vehicle Payload Monitoring System Nishant Yadav, Nishita yadav, Dr. Anjali Garg8. Implementation and Comparison of MQTT and CoAP Protocols for Smart Home Application in Node-RED Simran Kaur, Vandana Khanna 9. Comparative Study of Static and Hybrid Analysis using Machine Learning and Artificial Intelligence in Smart Cities Shagil Chaudhary, Ramesh Amgai, Shouvik Das Gupta, Nida Iftekhar, Sherin Zafar, Anil Kumar Mahto 10. Automated Weather Monitoring Station Based on IOT for Smart Cities Shaifali Madan, Mishti Gautam 11. Energy Harvesting for sustainability Paru. l Agarwal, M. Afshar Alam, Sheikh Mohammad Idrees, Ajay Vikram Singh, Joel J.P. C. Rodrigues 12. A Review of Machine Learning Models in Renewable Energy Anuj Gupta, Kapil Gupta, Sumit Saroha 13. Security and Privacy Issues in IoT enabled Smart Cities Aditya Sam Koshy, Nida Fatima, Parul Agarwal, Joel J.P. C. Rodrigues14. Efficacy of Bio-Absorbent Concept in Textile Effluent Treatment Technology Using Low-Cost Materials by implementing Banna bark and Orange Peel Arivoli. A, Agnello J. Naveen

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Book SynopsisThis book constitutes the refereed proceedings of the 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, which was held in December 2021. Due to COVID-19 pandemic the conference was held virtually.The 17 full, 14 short, and 5 practice papers presented in this volume were carefully reviewed and selected from 87 submissions. The papers were organized in topical sections named: Knowledge Discovery from Digital Collections; Search for Better User Experience; Information Extraction; Multimedia; Text Classification and Matching; Data Infrastructure for Digital Libraries; Data Modeling; Neural-based Learning.

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Book SynopsisThis book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021. The conference was initially planned to take place in Recife, Brazil, but changed to a virtual meeting due to the COVID-19 pandemic. The 9 full papers presented in this volume were carefully reviewed and selected from a total of 76 submissions. They reflect methodological improvements and advances in multi-criteria decision-making/multi-criteria decision-aid (MCDM/MCDA) oriented toward real-world applications, which contribute to the understanding of relevant developments of current research on and future trends of innovation for systems information and decision. Table of ContentsFITradeoff Based Analysis of Cultural Tourism Products Regarding Post-Industrial Heritage in Czeladź Commune in Poland.- The worth of cardinal information in MCDM – a guide to selecting weight-generating functions.- Efficiency of competitiveness evaluation of medium-lift launch vehicle (MLV) using integrated DEA-TOPSIS model.- Japanese port alliance: Cooperative game theory analysis.- Improving the Elicitation Process for Intra-criterion Evaluation in the FITradeoff Method.- Manufacturing Execution System Selection by Use of Multicriteria Partial Information Method.- Incorporating Hierarchical Criteria Structure in the FITradeoff Method.- A user interface for consistent AHP pairwise comparisons.- A Problem Structuring Multimethodology to Support a Post-graduation Course on Implant Dentistry.

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Book SynopsisThis book bridges the gap between knowledge management and technology. It embraces the complete lifecycle of knowledge, information, and data from how knowledge flows through an organization to how end users want to handle it and experience it. Whether your intent is to design and implement a single technology or a complete collection of KM systems, this book provides the foundations necessary for success. It will help you understand your organization’s needs and opportunities, strategize and prioritize features and functions, design with the end user in mind, and finally build a system that your users will embrace and which will realize meaningful business value for your organization. The book is the culmination of the authors’ collective careers, a combined sixty years of experience doing exactly what is detailed in this book. Their guidance has been honed by their own successes and failures as well as many others they have researched in order to provide a comprehensive study on KM transformations and the technologies that help to enable them. They have successfully applied this knowledge as the founders and leaders of the world’s largest dedicated knowledge management consultancy, which runs these projects for many of the world’s most complex organizations. They are writing as practitioners directly to other practitioners with the intent to enable them to apply and benefit from their knowledge and experience.“Compelling reading for KM practitioners looking to ensure their technology decisions support their business and organizational objectives.” - Margot Brown, Director of Knowledge Management, World Bank Group "We are two years into our KM Transformation and if I’d had this book beforehand, it would have made the journey smoother and faster! This is a great playbook for how to plan, organize, and execute a KM transformation." - Stephanie Hill, Senior Director, Global Customer Services, PayPalTrade Review“This book … spans the crevasse between KM and IT and does so with considerable flair. … this is a very good overview of the importance of integrating KM and IT and should be on the desktop of all KM managers, especially in larger organisations with complex IT infrastructures. The experience of the authors is evident throughout and they write in an engaging style which makes for a very readable book.” (Martin White, intranetfocus.com, June 30, 2022)Table of Contents1. Knowledge Management Primer.- Part I: Knowledge Management Transformation Strategy and Planning.- 2. Assessing Your Organization’s KM Strengths and Weaknesses (Current State).- 3. Understanding Your Organization’s Future KM Needs (Target State).- 4. Creating the Target State Vision.- 5. Getting from Here to There (KM Transformation Roadmap).- Part II: Understanding KM Systems.- 6. Content Management Solutions.- 7. Collaboration Suites.- 8. Learning Management Systems.- 9. Enterprise Search.- 10. Taxonomy Management.- 11. Data Catalogs and Governance Tools.- 12. Text Analytics Tools.- 13. Graph Databases.- 14. KM as a Foundation for Enterprise Artificial Intelligence.- 15. Integration Patterns for KM Systems.- Part III: Running a KM Systems Project.- 16. Project Phases.- 17. Common KMS Project Challenges and Mistakes.- 18. Foundational Design Elements.- 19. Content.- 20. Operations and Iterative Improvements.- 21. Envisioning Success: Putting KM Solutions and Outcomes Together.

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Book SynopsisModern business relies heavily on information technology. This book presents a new “always-on” business model for the digital age, one based on three interrelated components: a business model, an IT capability model, and an always-on information system model. In addition, it develops an implementation framework for the new model by identifying business-critical continuous computing information technologies as implementation drivers.The model proposed in this book reveals the critical role of business continuity management in ensuring business continuity even when operations are unaffected by any disasters. Using empirical survey data, PLS-SEM (Partial Least Squares - Structural Equation Modeling) combined with mediation analysis are used to test the model and hypotheses.The book is chiefly intended for students in Business Administration/Management degree programs and business leaders whose work involves addressing issues such as organizational performance, IT capability, enterprise information systems, IT management, business continuity management, disaster recovery management, risk management, IT auditing, and compliance. Table of ContentsChapter 1. Introduction.- Chapter 2. Digital Age, Business Strategy, and Firm's Performance.- Chapter 3. Downtime and Business Continuity.- Chapter 4. BCM, DRP - Compliance in Practice.- Chapter 5. Master Contingency Plans and IT Auditing.- Chapter 6. Business Models and The Concept of Always-On Business.- Chapter 7. BCM, BCP, IT Capability: A Framework for Always-On Business.- Chapter 8. Empirical Research.

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Book SynopsisThis book is composed by the papers written in English and accepted for presentation and discussion at The 2022 International Conference on Information Technology & Systems (ICITS'22), held at Tecnológico de Costa Rica, in San Carlos, Costa Rica, between the 9th and the 11th of February 2022.ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications.The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication.

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Book SynopsisThis volume constitutes the refereed proceedings of the Third International Conference on Applied Technologies, ICAT 2021, held in Quito, Ecuador, in October 2021. The 40 papers were carefully reviewed and selected from 201 submissions. The papers are organized according to the following topics: communication; computing; e-government and e-participation; e-learning; electronics; general track; intelligent systems; machine vision; security; technology trends.Table of ContentsCommunication.- Computing.- e-Government and e-Participation.- e-Learning.- Electronics.- General Track.- Intelligent Systems.- Machine Vision.- Security.- Technology Trends.

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Book SynopsisThis book constitutes revised papers from the eight workshops which were held during June 2021 at the 24th International Conference on Business Information Systems, BIS 2021. The conference was planned to take place in Hannover, Germany, and changed to a fully online event due to the COVID-19 pandemic. There was a total of 67 submissions to all workshops of which 31papers were accepted for publication. The workshops included in this volume are: AKTB 2021: 12th Workshop on Applications of Knowledge-Based Technologies in Business BisEd 2021: BIS Education: Trends and Challenges DigBD 2021: 1st Workshop on Digitization in the Flux of Big Data Scenarios DigEx 2021: 3rd International Workshop on transforming the Digital Customer Experience iCRM 2021: 6th International Workshop on Integrated Social CRM QOD 2021: 4th Workshop on Quality of Open Data BITA 2021: 12th Workshop on Business and IT Alignment BSCT 2021: 4th Workshop on Blockchain and Smart Contract TechnologiesTable of ContentsAKTB Workshop.- Analysis of the structure of Germany's energy sector with self-organizing Kohonen maps.- Time-to-Event Modelling for survival and hazard analysis of Stroke clinical case.- Automatically Extracting Insurance Contract Knowledge Using NLP.- Analyzing Medical Data with Process Mining: a COVID-19 Case Study.- Problem Domain Example of Knowledge-Based Enterprise Model Usage for Different UML Behavioral Models Generation.- BIS Education Workshop.- Reconsidering the Challenges of BIS Education in Light of the COVID Pandemic.- COVID-19-related challenges in business information systems education: experiences from Slovenia.- Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt.- Comparative analysis of highly ranked BIS degree programs.- DigBD Workshop.- Multi-Agent System for Weather Forecasting in India.- Towards a Data Collection Quality Model for Big Data Applications.- Investigating the Incorporation of Big Data in Management Information Systems.- The Perception of Test Driven Development in Computer Science - Outline for a Structured Literature Review.- DigEx Workshop.- Influence of Augmented Reality on Consumer Behaviour in Online Retailing.- Personality Based Data-driven Personalizationas as an Integral Part of the Mobile Application.- iCRM Workshop.- Social CRM as a business strategy: developing the dynamic capabilities of Micro and Small Businesses.- Gaining Insights on Student Satisfaction by applying Social CRM techniques for Higher Education Institutions.- Understanding Customer-induced Orchestration of Services: A Review of Drivers and Concepts.- QOD Workshop.- A high-resolution urban land surface dataset for the Hong Kong-Shenzhen area.- Review of literature on Open Data for scalability and operation efficiency of electric bus fleets.- Challenges of Mining Twitter Data for Analyzing Service Performance: A Case study of Transportation Service in Malaysia.- Data quality assessment of comma separated values using linked data approach.- Spatio-temporal data sources integration with ontology for road accidents analysis.- BITA Workshop.- IT-Service Value Modeling: A Systematic Literature Analysis.- Consolidating Academic and Practical Guidelines for Digital Transformation.- Integrated Security Management of Public and Private Sector for Critical Infrastructures - Problem Investigation.- Market Launch and Regulative Assessment of ICT-based Medical Devices: Case Study and Problem Definition.- BSCT Workshop.- A Probabilistic Logic Model of Lightning Network.- Enabling Electronic Bills of Lading by Using a Private Blockchain.- Modeling the Resilience of the Cryptocurrency Market to COVID-19.- Fast payment systems dynamics: lessons from diffusion of innovation models.- A Meta-Review of Blockchain Adoption Literature in Supply Chain.

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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..

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisThis book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications.This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.

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Book SynopsisChapter “Developing a VR Tool to Support Repeat Pattern Design Learning ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Book SynopsisThe proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy,The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc. Table of ContentsBrave New Ideas.- Biomedical and Assistive Technology.- Multimedia.- Deep Learning.- Image Processing for Cultural Heritage.- Robot Vision.

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Book SynopsisThis book constitutes the proceedings of the 7th International Conference on Business Intelligence, CBI 2022, which took place in Khouribga, Morocco, during May 26-28, 2022. The 23 full papers included in this book were carefully reviewed and selected from a total of 68 submissions. They were organized in topical sections as follows: decision support and artificial intelligence; business intelligence and database; and optimization and dynamic programming.Table of ContentsDecision Support and Artificial Intelligence.- Optimization Focused On Parallel Fuzzy Deep Belief Neural Network For Opinion Mining.- A Convolutional Neural Networks-Based Approach For Potato Disease Classification.- Performance Investigation of a Proposed CBIR Search Engine Using Deep Convolu-tional Neural Networks.- Decision Boundary to improve the sensitivity of deep neural networks models. - Facial Expression Recognition Using a Hybrid ViT-CNN Aggregator.- Machine Learning Approach to Automate Decision Support on Information System Attacks.- Deep Reinforcement Learning for Bitcoin Trading.- An exploration of student grade retention prediction using machine learning algorithms.- Deep Learning Model For Educational Recommender Systems.- Comparative Study of Deep Learning Models for detection and classification of intracranial hemorrhage.- Business Intelligence and Database.- Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligence. -Mining frequents itemset and association rules in diabetic dataset.- Automatic text summarization for Moroccan Arabic dialect using an artificial intelligence approach.- Automatic Change Detection based on the Independent Component Analysis and Fuzzy C-means Methods.- Sentiment analysis decision system for tracking climate change opinion in Twitter.- Analysis of Decision Tree Algorithms for Diabetes Prediction.- How far can Deep Learning improve Arabic Part of Speech Tagging.- Optimization and Dynamic programming.- Analysis of Several Algorithms for DOA Estimation in Two Different Communication Models by a Comparative Study.- A Novel hybrid Approach for improving the accuracy of the Supervised Link Prediction based on Graph Structure Features in Social Networks. - Intelligent system based on GAN model for decision support in brain Tumor segmentation.- Hospital room management for Covid-19 patients using Petri nets.- Dimensionality reduction of MI-EEG data via convolutional autoencoders with a low size dataset.- Car tracking technique for DLES Project.

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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.

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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.

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Book SynopsisThis book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022. The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.Table of ContentsBlind Rotation in Fully Homomorphic Encryption with Extended Keys.- Monitoring Time Series With Missing Values: a Deep Probabilistic Approach.- Time, Memory and Accuracy Tradeoffs in Side-Channel Trace Profiling.- Design of Intrusion Detection System based on Logical Analysis of Data (LAD) using Information Gain Ratio.- Simulating a Coupon Collector.- On the undecidability of the Panopticon detection problem.- Privacy-Preserving Contrastive Explanations with Local Foil Trees.- Timing leakage analysis of non-constant-time NTT implementations with Harvey butterflies.- Predicting the direction of changes in the values of time series for relatively small training samples.- Machine-Learning Based Objective Function Selection for Community Detection.- Randomness for Randomness Testing.- Botnet attack identification based on SDN.- Setting up an anonymous gesture database as well as enhancing it with a verbal script simulator for rehabilitation applications.- Fake News Detection in Social Networks using Machine Learning and Trust.- Reinforcement Based User Scheduling for Cellular Communications.- A Heuristic Framework to search for Approximate Mutually Unbiased Bases.- Counter Mode for Long Messages and a Long Nonce.- Transfer learning for time series classification using synthetic data generation.- Non-Stopping Junctions via Traffic Scheduling.- Predicting subscriber usage: Analyzing multidimensional time-series using Convolutional Neural Networks.- Smart Cybercrime Classification for Digital Forensics with Small Datasets.- Auditable, Available and Resilient Private Computation on the Blockchain via MPC.- Union Buster: A Cross-Container Covert-Channel Exploiting Union Mounting.- Mutual Accountability Layer: Accountable Anonymity within Accountable Trust.- Faster Post-Quantum TLS handshakes Without Intermediate CA Certificates.- Enhancing Cybersecurity of Satellites at sub-THz Bands.- Polynomial Approximation of Inverse sqrt Function for FHE.- Detecting Clickbait in Online Social Media: You Won’t Believe How We Did It.- Etherless Ethereum Tokens: Simulating Native Tokens in Ethereum.- A Linear-Time 2-Party Secure Merge Protocol.- FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker.-In-app Cryptographically-Enforced Selective Access Control for Microsoft Office and Similar Platforms.- Differentially-Private ``Draw and Discard'' Machine Learning: Training Distributed Models from Enormous Crowds.- Privacy Preserving Solution of DCOPs by Mediation.- BFLUT Bloom Filter for Private Look Up Tables.

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Book SynopsisThis book constitutes the refereed proceedings of the 15th IFIP WG 11.8 World Conference on Information Security Education, WISE 2022, held in Copenhagen, Denmark, in June 2021. The 8 papers presented were carefully reviewed and selected from 17 submissions. The papers are categorized into the following topical sub-headings: Securing the Fourth Industrial Revolution through Programming; Cybersecurity in the Fourth Industrial Revolution: Charting the Way Forward in Education; and Real-World Cybersecurity-Inspired Capacity Building.Table of ContentsSecuring the Fourth Industrial Revolution through Programming.- Analyzing Error Rates in Cryptological Programming Assignments.- SecTutor: An Intelligent Tutoring System For Secure Programming .- Cybersecurity in the Fourth Industrial Revolution: Charting the Way Forward in Education.- How to Overcome Staff Shortage in Professionals for SOCs and NSICs.- Collaborative Cybersecurity Learning: Establishing Educator and Learner Expectations and Requirements.- A Maturity Assessment Model for Cyber Security Education in Europe.- Real-World Cybersecurity-Inspired Capacity Building.- ForCyRange: An Educational IoT Cyber Range for Live Digital Forensics.- South Africa’s taxi industry as a cybersecurity-awareness game changer: why and how?.- Maritime Cyber Threats Detection Framework: Building Capabilities.

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Book SynopsisThis book constitutes the thoroughly refereed proceedings of the 22nd International Conference on Web Engineering, ICWE 2022, held in Bari, Italy, in July 2022. The 23 revised full papers and 5 short papers presented were carefully reviewed and selected from 81 submissions. The books also contains 6 demonstration and poster papers, 7 symposium and 5 tutorial papers. They are organized in topical sections named: recommender systems based on web technology; social web applications; web applications modelling and engineering; web big data and web data analytics; web mining and knowledge extraction; web security and privacy; web user interfaces.Table of Contentsrecommender systems based on web technology.- social web applications.- web applications modelling and engineering.- web big data and web data analytics.- web mining and knowledge extraction.- web security and privacy.- web user interfaces.- web mining and knowledge extraction.- web Big Data and Web data analytics.- Mobile Web applications.- web of Things applications.- social Web applications.- web crowdsourcing and human computation.- semantic web.- web ontologies, and Linked Open Data applications.- quality and accessibility aspects of Web applications.- web composition and mashups.- web user interfaces.- web security and privacy.- web programming.- web services, computing, and standards.

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Book SynopsisThis book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.Table of ContentsSoftware Engineering.- Theoretical Computer Science in industrial applications.- Software Engineering Methodologies. Formal and theoretical software engineering methods and techniques.

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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.

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Book SynopsisThis book constitutes the refereed proceedings of the 12h International Symposium on Business Modeling and Software Design, BMSD 2022, which took place in Fribourg, Switzerland, in June 2022.The 12 full and 9 short papers included in this book were carefully reviewed and selected from a total of 56 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2022 theme is: Information Systems Engineering and Trust. Table of ContentsFull Papers.-- Rapid Prototyping of Business Rule-based Systems with Controlled Natural Language and Semantic Web Software.- - Agile Innovation Through Business Process Management: Realizing the Potential of Digital Transformation.-- Requirements for Dynamic Jumps at the Execution of Business Processes.- Results from the Verification of Models of Spectrum Auctions.- Context-Aware, Intelligent Musical Instruments for Improving Knowledge-Intensive Business Processes.- Detecting Data Incompatibilities in Process-Driven Decision Support Systems.- Semantic Relations of Sub-Models in an Enterprise Model.- VR-EA+TCK: Visualizing Enterprise Architecture, Content, and Knowledge in Virtual Reality.- A Case of Social Dynamics & Social Relativism.- Advantages of a Formal Specification of a Case: From Informal Description via Formal Specification to Realization.- An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies.- Trends for the DevOps Security. A Systematic Literature Review.- Short Papers.- Errors in the Process of Modeling Business Processes.- Use Cases for Augmented Reality Applications in Enterprise Modeling: A Morphological Analysis.- On the Context-Aware Servicing of User Needs: Extracting and Managing Context Information Supported by Rules and Predictions.- Towards Identification and Modelling of Privacy Requirements with Systems Thinking a Reference Architecture for User-Oriented Open Government Data Portals.- KnowGo : An Adaptive Learning-based Multi-Model Framework for Dynamic Automotive Risk Assessment.- OSRM-CCTV: CCTV-aware Routing and Navigation System for Privacy and Safety.- CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras.- Computer Model for Assessment and Visualization of Specific Absorption Rate of Electromagnetic Field, Generated by Smartphone.

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Book SynopsisThis two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022.The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.Table of ContentsAutomated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.- Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration.- Non-Elitist Selection Can Improve the Performance of Irace.- Per-run Algorithm Selection with Warm-starting using Trajectory-based Features.- Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature.- A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.- Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization.- Finding Knees in Bayesian Multi-Objective Optimization.- High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.- Single Interaction Multi-Objective Bayesian Optimization.- Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter.- Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm.- A Continuous Optimisation Benchmark Suite from Neural Network Regression.- BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.- Evolutionary Approaches to Improving the Layouts of Instance-Spaces.- A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem.- Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.- Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation.- Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes.- Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism.- Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits.- Self-adaptation via Multi-objectivisation: An Empirical Study.- The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach.- Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing.- Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows.- Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.- Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.- Generative Models over Neural Controllers for Transfer Learning.- HVC-Net: Deep Learning based Hypervolume Contribution Approximation.- Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution.- Revisiting Attention-based Graph Neural Networks for Graph Classification.- Robust Neural Network Pruning by Cooperative Coevolution.- SemiGraphFL: Semi-Supervised Graph Federated Learning.- Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier.- In-Materio Extreme Learning Machines.- On the impact of the duration of evaluation episodes on the evolution of adaptive robots.- Analysing the Fitness Landscape Rotation for Combinatorial Optimisation.- Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem.- Fractal Dimension and Perturbation Strength: A Local Optima Networks View.- HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.- Increasing the Diversity of Benchmark Function Sets through Affine Recombination.- Neural Architecture Search: A Visual Analysis. - Digging into Semantics: Where do search-based software repair methods search?.- Gene-pool Optimal Mixing in Cartesian Genetic Programming.- Genetic programming for combining directional changes indicators in international stock markets.- Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling.- Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming.- A general architecture for generating interactive decomposition-based MOEAs.- An Exact Inverted Generational Distance for Continuous Pareto Front.- Direction Vector Selection for R2-based Hypervolume Contribution Approximation.- Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?.- Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study.- Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm.- Greedy Decremental Quick Hypervolume Subset Selection Algorithms.- Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.- Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation.- Large-scale multi-objective influence maximisation with network downscaling.- Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO).- New Solution Creation Operator in MOEA/D for Faster Convergence.- Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization.- T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.- Recombination Weight based Selection in the DTS-CMA-ES.- The (1+1)-ES Reliably Overcomes Saddle Points.- Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization.- Evolutionary Time-Use Optimization for Improving Children's Health Outcomes.- Iterated Local Search for the eBuses Charging Location Problem.- Multi-view clustering of heterogeneous health data: Application to systemic sclerosis.- Specification-Driven Evolution of Floor Plan Design.- Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection.- A First Runtime Analysis of the NSGA-II on a Multimodal Problem.- Analysis of Quality Diversity Algorithms for the Knapsack Problem.- Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection.- Escaping Local Optima With Local Search: A Theory-Driven Discussion.- Evolutionary Algorithms for Cardinality-Constrained Ising Models.- General Univariate Estimation-of-Distribution Algorithms.- Population Diversity Leads to Short Running Times of Lexicase Selection.- Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results.- Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes.- Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem.- Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions.- Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms.- Self-adjusting Population Sizes for the (1, λ)-EA on Monotone Functions.- Theoretical Study of Optimizing Rugged Landscapes with the cGA.- Towards Fixed-Target Black-Box Complexity Analysis.- Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard.

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Book SynopsisThis book constitutes the proceedings of the 27th International Conference on Formal Methods for Industrial Critical Systems, FMICS 2022, which took place in Warsaw, Poland, in September 2022. The 13 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: Certification; industrial use cases; testing and monitoring; and methodology.Table of ContentsInvited Keynote Talks.- Reinforcement Learning with Guarantees That Hold for Ever.- Supporting Railway Innovations with Formal Modelling and Verification.- Certification.- Formal Monotony Analysis of Neural Networks with Mixed Inputs: An asset for certification.- Generating Domain-specific Interactive Validation Documents.- Deductive Verification of Smart Contracts with Dafny.- Industrial use cases.- Towards Reusable Formal Models for Custom Real-time Operating Systems.- Formal verification of an industrial UML-like model using mCRL2.- Chemical Case Studies in KeYmaera X.- Analysing Capacity Bottlenecks in Rail Infrastructure by Episode Mining.- Testing and monitoring.- Test Suite Augmentation for Recon gurable PLC Software in the Internet of Production.- Monitoring of Spatio-Temporal Properties with nonlinear SAT solvers.- Model-Based Testing of Internet of Things Protocols.- Methodology.- Formally Verifying Decompositions of Stochastic Specifications.- Verification of Behavior Trees using Linear Constrained Horn Clauses.- A Multi-level Methodology for Behavioral Comparison of SoftwareIntensive Systems.

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Book SynopsisThis two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the 9th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, XR Salento 2022, held in Lecce, Italy, July 6–8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference.The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.Table of ContentseXtended Reality for learning and training.- Mixed Reality Agents for Automated Mentoring Processes.- Asynchronous Manual Work in Mixed Reality Remote Collaboration.- A virtual reality serious game for children with dyslexia: DixGame.- Processing Physiological Sensor Data in Near Real-Time as Social Signals for their Use on Social Virtual Reality Platforms.- Developing a tutorial for improving usability and user skills in an immersive virtual reality experience.- Challenges in Virtual Reality Training for CRBN Events.- A Preliminary Study on the Teaching Mode of Interactive VR Painting Ability Cultivation.- eXtended Reality in education.- Factors in the cognitive-emotional impact of Educational Environmental Narrative Videogames.- Instinct-based Decision-making in Interactive Narratives.- The application of immersive virtual reality for children's road education: validation of a pedestrian crossing scenario.- Collaborative VR scene broadcasting for geometry education.- Collaborative Mixed Reality Annotations System for Science and History Education Based on UWB Positioning and Low-cost AR Glasses.- Artificial Intelligence and Machine Learning for eXtended Reality.- Can AI replace conventional markerless tracking? A comparative performance study for mobile augmented reality based on artificial intelligence..- Find, Fuse, Fight: genetic algorithms to provide engaging content for multiplayer augmented reality games.- Synthetic data generation for surface defect detection*.- eXtended Reality in Geo-Information Sciences.- ARtefact: A Conceptual Framework for the Integrated Information Management of Archaeological Excavations.- Geomatics meets XR: a brief overview of the synergy between Geospatial data and augmented visualization..- Utilization of Geographic Data for the Creation of Occlusion Models in the Context of Mixed Reality Applications.- Development of an open-source 3D WebGIS framework to promote cultural heritage dissemination.- Industrial eXtended Reality.- A FRAMEWORK FOR DEVELOPING XR APPLICATIONS INCLUDING MULTIPLE SENSORIAL MEDIA.- Augmented Reality Remote Maintenance in Industry: A Systematic Literature Review.- Virtual Teleoperation Setup for a Bimanual Bartending Robot.- eXtended Reality in the digital transformation of museums.- Virtualization and Vice Versa: A new procedural model of the reverse virtualization for the user behavior tracking in the Virtual Museums.- “You can tell a man by the emotion he feels”: How Emotions Influence Visual Inspection of Abstract Art in Immersive Virtual Reality.- Augmented Reality and 3D Printing for Archaeological Heritage: Evaluation of Visitor Experience.- Building blocks for multi-dimensional WebXR inspection tools targeting Cultural Heritage.- Comparing the impact of low-cost 360° cultural heritage videos displayed in 2D screens versus virtual reality headsets.- eXtended Reality beyond the five senses.- Non-immersive versus immersive extended reality for motor imagery neurofeedback within a brain-computer interfaces.- Virtual Reality enhances EEG-based neurofeedback for emotional self-regulation.- Psychological and Educational Interventions Among Cancer Patients: A Systematic Review to Analyze the Role of Immersive Virtual Reality for Improving Patients’ Well-Being.

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Book SynopsisThis book sonstitutes selected papers from the first International Conference on Cyber Warfare, Security and Space Research, SpacSec 2021, held in Jaipur, India, in December 2021.The 19 full and 6 short papers were thoroughly reviewed and selected from the 98 submissions. The papers present research on cyber warfare, cyber security, and space research area, including the understanding of threats and risks to systems, the development of a strong innovative culture, and incident detection and post-incident investigation.Table of ContentsCreation of Novel Database for Knowledge Repository on Cyber Security.- Brain Tumour Classification via UNET Architecture of CNN Technique.- Analysis of Various ML algorithms for Intrusion Detection.- Enhanced Security Mechanism for Cryptographic File Systems Using Trusted Computing.- Critical Analysis of IoT Ecosystem to Understand Security Threats and Challenges.- Hyper-parameters study for breast cancer datasets: enhancing image security and accuracy for prediction class.- An efficient Image Encryption technique using Logistic Map and 2D-TCLM.- Learning Co-occurrence Embeddings for Sentence Classification.- Preventing Fault Attacks on S-boxes of AES-like Block Ciphers.- Privacy Preserving of Two Local Data Sites using Global Random Forest Classification.- Privacy Preserving and Secured Clustering of Distributed Data using Self Organizing Map.- Implementation of Intrusion Detection Systems in Distributed Architecture.- Practical Phase Shift Model for RIS-Assisted D2D Communication Systems.- Recent Trend of Transform Domain Image Steganography Technique for Secret Sharing.- Design of a high efficiency access control & authentication analysis model for cloud deployments using pattern analysis.- A Study on Cyber Security in various Critical IT Infrastructure Organizational Sectors: Challenges and Solutions.- Short-Delay Multipath Errors in NavIC Signals for Stationary Receivers.- Point Clouds Object Classification using Part-based Capsule Network.- Study of various types of attacks made on optical image encryption based on DRPE.- Satellite Image Classification Using ANN.- Power Quality Disturbance Classification Using Transformer Network.- On-Orbit, Non-Destructive Surface Surveillance, and Inspection with Convolution Neural Network.- Ramadan Group transform fundamental properties and some its dualities.- Enhancing Security Mechanism in Smart Phones using Crowdsourcing.- INTELLIBOT - Intelligent Voice Assisted Chatbot with Sentiment Analysis, COVID Dashboard and Offensive Text Detection.

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