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Table of Contents
Preface; Acknowledgments; Contents; Contributors; Part I: Internet of Things (IoT), and "Smart Living"; Chapter 1: IoT-Enabled Smart Living; 1.1 Introduction; 1.1.1 Project Objectives; 1.2 Related Work; 1.2.1 Smart Health and Care; 1.2.2 Smart Quality of Life; 1.2.3 IoT and Security Management; 1.3 Underlying Concept and Methodology; 1.3.1 Overall Underpinning Concept; 1.3.1.1 Adapted Biomimicry Life's Principles; 1.3.2 SMART-ITEM System Architecture Requirements; 1.3.2.1 Functional Requirements; 1.3.2.2 Nonfunctional Requirements; 1.3.3 SMART-ITEM System Architecture
1.3.3.1 Data, Information, and Communications-Related Functions1.3.3.2 Control and Management-Related Functions; 1.3.4 SMART-ITEM Integrated Software Architecture; 1.3.5 SMART-ITEM Open Platform; 1.4 Methodology; 1.4.1 User-Centered Design Approach; 1.4.2 Integrated Agile Methodology for Software Development (with PDSA); 1.4.3 Pilot Study for the Design, Development, and Deployment of SMART-ITEM System and Services; 1.5 Some Relevant Technologies for SMART-ITEM; 1.6 Impact Analyses; 1.7 Conclusion; References
Chapter 2: Emerging Trends in Cloud Computing, Big Data, Fog Computing, IoT and Smart Living2.1 Introduction; 2.2 Cloud Models; 2.2.1 Service Models; 2.2.2 Deployment Models; 2.3 Cloud Services; 2.3.1 Security and Compliance; 2.3.2 Cloud Security Controls; 2.4 Cloud Users and Organisations; 2.5 Big Data Notion; 2.6 Fog Computing; 2.7 Smart Living; 2.8 Conclusions; References; Chapter 3: Toward a Cognitive Middleware for Context-Aware Interaction in Smart Homes; 3.1 Introduction; 3.2 Motivating Example; 3.3 Background; 3.3.1 Smart Home Projects for the Elderly
3.3.2 Taxonomies of Interaction in Smart Homes3.3.3 Context-Aware Computing; 3.4 Why Middleware for Context-Aware Interaction?; 3.5 Proposed Model; 3.5.1 Architectural Design; 3.5.2 Discussion; 3.6 Conclusion; References; Chapter 4: A Path Planning Approach of an Autonomous Surface Vehicle for Water Quality Monitoring Using Evolutionary Computation; 4.1 Introduction; 4.2 Backgrounds; 4.2.1 Harmful Algal Bloom Monitoring in Lakes; 4.2.1.1 The Environmental Problem; 4.2.1.2 Hydrography Characteristics in Paraguay; 4.2.2 Autonomous Surface Vehicles; 4.2.2.1 Types of ASV and Their Applications
4.2.2.2 ASV for Environmental Monitoring4.2.3 Mobility of ASV Based on AI; 4.2.3.1 Path Planning; 4.2.3.2 Path Planning as the TSP; 4.2.3.3 Genetic Algorithms for Solving Path Planning Problems; 4.3 Ypacarai Lake: A Case Study; 4.3.1 Covered Problem; 4.3.2 Proposed Approach; 4.4 Simulation Results; 4.4.1 Simulation Environment; 4.4.2 Simulation Results; 4.5 Conclusions; References; Part II: "Smart Living" Case Studies; Chapter 5: Big Data and Data Science Applications for Independent and Healthy Living; 5.1 Introduction; 5.2 A Perspective on Intelligence
1.3.3.1 Data, Information, and Communications-Related Functions1.3.3.2 Control and Management-Related Functions; 1.3.4 SMART-ITEM Integrated Software Architecture; 1.3.5 SMART-ITEM Open Platform; 1.4 Methodology; 1.4.1 User-Centered Design Approach; 1.4.2 Integrated Agile Methodology for Software Development (with PDSA); 1.4.3 Pilot Study for the Design, Development, and Deployment of SMART-ITEM System and Services; 1.5 Some Relevant Technologies for SMART-ITEM; 1.6 Impact Analyses; 1.7 Conclusion; References
Chapter 2: Emerging Trends in Cloud Computing, Big Data, Fog Computing, IoT and Smart Living2.1 Introduction; 2.2 Cloud Models; 2.2.1 Service Models; 2.2.2 Deployment Models; 2.3 Cloud Services; 2.3.1 Security and Compliance; 2.3.2 Cloud Security Controls; 2.4 Cloud Users and Organisations; 2.5 Big Data Notion; 2.6 Fog Computing; 2.7 Smart Living; 2.8 Conclusions; References; Chapter 3: Toward a Cognitive Middleware for Context-Aware Interaction in Smart Homes; 3.1 Introduction; 3.2 Motivating Example; 3.3 Background; 3.3.1 Smart Home Projects for the Elderly
3.3.2 Taxonomies of Interaction in Smart Homes3.3.3 Context-Aware Computing; 3.4 Why Middleware for Context-Aware Interaction?; 3.5 Proposed Model; 3.5.1 Architectural Design; 3.5.2 Discussion; 3.6 Conclusion; References; Chapter 4: A Path Planning Approach of an Autonomous Surface Vehicle for Water Quality Monitoring Using Evolutionary Computation; 4.1 Introduction; 4.2 Backgrounds; 4.2.1 Harmful Algal Bloom Monitoring in Lakes; 4.2.1.1 The Environmental Problem; 4.2.1.2 Hydrography Characteristics in Paraguay; 4.2.2 Autonomous Surface Vehicles; 4.2.2.1 Types of ASV and Their Applications
4.2.2.2 ASV for Environmental Monitoring4.2.3 Mobility of ASV Based on AI; 4.2.3.1 Path Planning; 4.2.3.2 Path Planning as the TSP; 4.2.3.3 Genetic Algorithms for Solving Path Planning Problems; 4.3 Ypacarai Lake: A Case Study; 4.3.1 Covered Problem; 4.3.2 Proposed Approach; 4.4 Simulation Results; 4.4.1 Simulation Environment; 4.4.2 Simulation Results; 4.5 Conclusions; References; Part II: "Smart Living" Case Studies; Chapter 5: Big Data and Data Science Applications for Independent and Healthy Living; 5.1 Introduction; 5.2 A Perspective on Intelligence