Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Intelligent Computing -- Multi-SoftMax Convolutional Neural Network and Its Application in the Diagnosis of Planetary Gearbox Complicated Faults -- 1 Introduction -- 2 Fault Tree Structure and Muti-SoftMax Convolutional Neural Network -- 2.1 Fault Tree Structure -- 2.2 Working Parallel Structure -- 2.3 Structure of Multi-SoftMax Convolutional Neural Network -- 3 Process of Planetary Gearbox Fault Diagnosis -- 4 Example of Planetary Gearbox Fault Diagnosis -- 4.1 Structure of Convolutional Neural Network -- 4.2 Structure of Mutil-SoftMax Convolutional Neural Network -- 5 Experiment -- 6 Conclusion -- References -- Signal Complexity Measure Based on Construction Creep Rate in 3s Feature Space -- 1 Introduction -- 2 Methodology -- 2.1 0-1 Test for Chaos Review -- 2.2 New Algorithm (Spring Test) Block of 3s Plot and CC Rate -- 2.3 Two Equations as Test Cases -- 3 Results and Discussions -- 3.1 Results from pq-Plot of 0-1 Test to 3s Plot and CC Rate in Spring Test -- 3.2 Key Self-similarity Measure Threshold γ Locking in Max Complexity -- 4 Conclusions -- References -- Research on Partition Technology of Real-Time Database in Big Data Environment -- 1 The Introduction -- 2 Design of Tual-Time Partition Database System for Flow Computing -- 3 Implementation of Real-Time Partition System -- 4 Audit and Effect of System Effectiveness -- 5 Summary -- References -- RCS Sequence Period Estimation Method Based on Constant False Alarm Detection -- 1 Introduction -- 2 Periodic Movement Target Characteristics -- 3 Periodic Discriminant Method for Constant False Alarm Detection -- 3.1 Periodic Discriminant Method for Constant False Alarm Detection -- 3.2 Effectiveness Analysis -- 4 Experimental Verification -- References -- Target Recognition of RCS Sequence Based on Neural Network. , 1 Introduction -- 2 Build the Attitude Angle Template -- 3 Feature Extraction and Classifier Design -- 4 Neural Network Design -- References -- Encouraging Cooperation in Participatory Sensing with Reputation and Game Analysis -- 1 Introduction -- 2 System Model -- 3 Trust Model and Game Analysis -- 3.1 Trust Model -- 3.2 Game Model -- 3.3 Repeated Game Analysis -- 4 Conclusion -- References -- Multi-granularity Attribute Sentiment Analysis Based on Neural Network -- 1 Introduction -- 2 Related Work -- 3 Multi-granularity Sentiment Analysis Model -- 3.1 Task Definition -- 3.2 Model -- 3.3 Multi-granularity Attention Mechanism -- 3.4 Model Training -- 4 Experiment -- 4.1 Experimental Data and Parameter Configuration -- 4.2 Method Comparison -- 4.3 Analysis of Experimental Results -- 5 Conclusion -- References -- Study on Fuzzy Crop Planning Problems Based on Credibility Theory -- 1 Introduction -- 2 Basic Principles -- 3 Fuzzy Crop Planning Problem -- 3.1 Problem with Fuzzy Income Coefficients -- 3.2 Method -- 4 Conclusion -- References -- Empirical Research on the Antecedents of Enterprise IS Users' Voice Behavior Based on the Work Behavior Theory -- 1 Introduction -- 2 Theoretical Background and Hypotheses -- 3 Research Method -- 4 Research Results -- 5 Discussion and Conclusion -- References -- Image Fusion Based on Masked Online Convolutional Dictionary Learning with Surrogate Function Approach -- 1 Introduction -- 2 The Proposed Fused Algorithm -- 2.1 Masked Online Dictionary Learning Using Surrogate Function Approach with Sparse Matrix Computation -- 2.2 The Fusion Framework -- 3 Experimental -- 4 Conclusion -- References -- The Liquid Cooling Technique Based on Foam Metal Copper -- 1 Introduction -- 2 Liquid Cooling Module Design Optimization -- 2.1 Liquid Cooling Module -- 2.2 Liquid-Cooled Radiator -- 3 Liquid Cooling Module Testing. , 3.1 Comparison Test of Liquid Cooling Module Heat Dissipation Performance Based on Liquid Cooling System -- 3.2 Comparison Test of Heat Dissipation Performance of Liquid Cooling Module Based on Self-circulating Cooling System -- 4 Conclusion -- References -- Study on the Forecast of Driving Reaction Based on PNN and FCM -- 1 Introduction -- 2 Driving Reaction Relations -- 3 Driving Reaction Sample Unified Disposal -- 4 Driving Reaction Neural Network -- 5 Road Test Data Acquisition -- 6 Applying Analyses -- 7 Conclusions -- References -- Android Malware Detection via Behavior-Based Features -- 1 Introduction -- 2 Existing Malware Detection Technology -- 2.1 Static Testing Technology of the Existing Malware Detection -- 2.2 Existing Dynamic Malware Detection Technology -- 3 The Behavior-Based Feature Recognition of Detection Technology -- 3.1 The Overall Technical Program -- 3.2 User Operator Behavior Monitoring Module -- 3.3 Software Behavior Monitoring Module -- 3.4 The Malicious Behavior Feature Recognition Module -- 4 Conclusion -- References -- Analysis of the Power Converter Used in Wind Power Generator System -- 1 Introduction -- 2 Power Converter Topology for Wind Power System -- 2.1 Two-Level Voltage Source Converter -- 2.2 Multilevel Voltage Source Converter -- 2.3 Matrix Converter -- 2.4 Current Source Converter -- 3 Application Status of Converters in Variable Speed Constant Frequency Wind Power System -- 3.1 Converters Commonly Used in Medium and Low Voltage Wind Power Systems -- 3.2 Control Strategy of Common Converters in Wind Power System -- 4 Development Trend of Wind Power Converter -- 5 Conclusions -- References -- Evaluation of New Energy Theory Based on Data Recovery -- 1 Introduction -- 1.1 Research Background -- 1.2 Research Methods -- 2 Data Introduction -- 2.1 Data Sources -- 2.2 Data Processing. , 3 Theoretical Power Calculation -- 4 Conclusions -- References -- Summary, Reflection, and Prospect of Wind Power Development in China -- 1 Introduction -- 2 Wind Power Development History -- 3 Wind Power Consumption Situation -- 3.1 Wind Power Generation in Provinces -- 3.2 Accommodation Capacity Index -- 3.3 Abandoned Wind Power and Abandoned Rate -- 4 Development Summary -- 5 Suggestions -- References -- Time-Varying Probability Distribution Model of High Permeability Wind Power Considering Non-stationary Characteristics -- 1 Introduction -- 2 Time-Varying Characteristics of Wind Power Probability Distribution and Spatial Correlation Coefficient -- 2.1 Time-Varying Characteristics of Probability Distribution of Single Wind Farm -- 2.2 Time-Varying Characteristics of Rank Correlation Coefficients of Multi-wind Farms -- 3 Off-Line Conditional Dependence Model Set of Edge Probability Distribution and Rank Correlation Coefficient Matrix -- 3.1 Off-Line Conditional Dependence Model Set of Probability Distribution of Single Wind Farm -- 3.2 Off-Line Conditional Dependence Model Set of Rank Correlation Coefficient Matrix of Multi-wind Farms -- 4 Time-Varying Probability Distribution Sampling Algorithm -- 5 Validity Analysis of Time-Varying Probability Distribution Modeling -- 5.1 Simulation System -- 5.2 Effect of Time-Varying Characteristics on Wind Power Characteristic Modeling -- References -- An Adaptive T-Distribution Variation Based HS Algorithm for Power System ED -- 1 Introduction -- 2 The HS Based on Adaptive T-Distribution Mutation (t-LHS) -- 2.1 HS Algorithm -- 2.2 Variation Principle of T-Distribution -- 2.3 A HS Algorithm Based on Adaptive T-Distribution Mutation (t-LHS) -- 3 The Steps of t-LHS Algorithm for Solving ED Problems -- 4 Results and Comparison -- 4.1 3-Generator System -- 4.2 40-Generator System -- 5 Conclusions -- References. , Application of Improved Particle Swarm Optimization in Economic Dispatch of Power System -- 1 Introduction -- 2 Improved Particle Swarm Optimization (IMPSO) -- 2.1 Adjustment of Parameters -- 2.2 Optimal Learning Strategies -- 2.3 Objective Function -- 2.4 Constraints -- 2.5 Steps of IMPSO Algorithms for Solving ED Problems -- 3 Experimental Analysis and Results -- 4 Conclusions -- References -- Design of an Ultra-Short-Term Wind Power Forecasting Model Combined with CNN and LSTM Networks -- 1 Introduction -- 2 Related Works -- 2.1 Wind Power Generation Power -- 2.2 CNN Network -- 2.3 LSTM Network -- 3 The Description of the Experimental Progress -- 3.1 Data Preprocessing -- 3.2 CNN Layer -- 3.3 LSTM Layer -- References -- An Algorithm for Intelligent Attack Decision-Making -- 1 Introduction -- 2 Underlying Factors -- 3 Modeling for Intelligent Decision-Making -- 4 The Process of Intelligent Decision-Making -- 5 Achievement of the System -- 6 Conclusion -- References -- Wavelet Packet Energy Entropy Based Feature Analysis of Seismic Signals from Vehicle Targets -- 1 Foreword -- 2 Time-Frequency Feature of Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 2.1 Test for Seismic Signals from Vehicle Targets -- 2.2 Wavelet Packet Transformation of Seismic Signals from Vehicle Targets -- 3 Energy Entropy Feature Extraction for Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 3.1 Wavelet Packet Transformed Energy Entropy -- 3.2 Extraction of Energy Entropy Feature of Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 4 Conclusion -- References -- Group Decision-Making Approach Under Interval-Valued Dual Hesitant Fuzzy Unbalanced Uncertain Linguistic Environments and Its Application to Community Tourism Resilience Evaluation -- 1 Introduction. , 2 Weighted Power Aggregation Operator with IVDHFUUBLS Information.

Note: Front Cover -- Homology Effects -- Copyright Page -- Contents -- Contributors -- Preface: Homology Effects: The Difference between 1 and 2 -- Chapter 1. Sex and the Single Chromosome -- I. The Evolution of Sex Chromosomes -- II. Selective Pressure Has Led to a Variety of Dosage-Compensation Mechanisms -- III. Dosage Compensation in Drosophila by the MSL Complex -- IV. A Series of Binary Switches Regulates the Sex Specificity of Dosage Compensation in Drosophila -- V. Sex lethal Communicates the X:A Ratio to the Dosage-Compensation Pathway through Repression of msl2 Translation -- VI. Evidence for the Coexistence of a Female-Specific Dosage-Compensation Pathway in Drosophila -- VII. MSL-Mediated Dosage Compensation Spreads from Special Entry Sites in cis -- VIII. The Behavior of MSL Complexes on Paired Chromosomes -- IX. Noncoding RNAs, Epigenetic Regulation, and Chromatin Structure -- References -- Chapter 2. Is X-Chromosome Inactivation a Homology Effect? -- I. The Phenomenon of X Inactivation -- II. Control Elements -- III. Current Models of Xist Regulation -- IV. Evidence for Additional Control Elements in Random X Inactivation -- V. Is X Inactivation a Homology Effect? -- VI. Conclusions -- References -- Chapter 3. Homologous Chromosome Associations and Nuclear Order in Meiotic and Mitotically Dividing Cells of Budding Yeast -- I. Introduction -- II. The Global Arrangement of Chromosomes in the Nucleus -- III. Homology Recognition during DNA Double-Strand Break Repair -- IV. Pairing and Synapsis of Homologous Chromosomes during Meiosis -- V. Homolog Interactions in Mitotically Dividing Cells (Vegetative Pairing) -- VI. Concluding Remarks -- References -- Chapter 4. The Role of Sequence Homology in the Repair of DNA Double-Strand Breaks in Drosophila -- I. Introduction -- II. The Effect of Sequence Identity on Gene Conversion. , III. The Effect of the Extent of Donor Homology on Double-Strand Break Repair -- IV. The Effect of the Extent of Recipient Homology on Double-Strand Break Repair -- V. The Effect of Donor Location on Double-Strand Break Repair -- VI. The Effect of Chromosome Pairing on Double-Strand Break Repair -- VII. Summary -- References -- Chapter 5. The Origins of Genomic Imprinting in Mammals -- I. Introduction -- II. Definition of Genomic Imprinting -- III. Evolution and Function of Imprinting -- IV. Origins of Genomic Imprinting -- V. Predictions for an Imprinting Mechanism -- VI. Organization and Epigenetic Modification of Imprinted Genes -- VII. DNA Methylation and Genomic Imprints -- VIII. The Function of Methylation Imprints: Model C -- IX. Innocent Bystanders, Future Challenges -- X. Concluding Remarks -- References -- Chapter 6. Genomic Imprinting during Seed Development -- I. Introduction -- II. Historical Overview -- III. Genome-Wide Imprinting -- IV. Gene-Specific Imprinting and the Control of Seed Development -- V. Conclusion -- References -- Chapter 7. Long-Distance Cis and Trans Interactions Mediate Paramutation -- I. Introduction -- II. Background and Defnitions -- III. Paramutation at b1 and p1 -- VI. Models for Paramutation -- V. Implications and Possible Functions -- References -- Chapter 8. Homology-Dependent Gene Silencing and Host Defense in Plants -- I. Introduction -- II. RNA Silencing -- III. DNA-DNA Pairing -- IV. Homology-Dependent Gene Silencing (HDGS) in Genomic Imprinting and X-Chromosome Inactivation in Mammals -- V. HDGS and the Host Genome Defense: Evolutionary Aspects -- VI. Summary and Conclusions -- References -- Chapter 9. Quelling in Neurospora crassa -- I. Introduction -- II. The Discovery of Quelling in Neurospora -- III. The Quest for quelling-defective (qde) Mutants. , IV. Isolation of the Genes Involved in Quelling in Neurospora -- V. A Unified Model for Quelling, Co-suppression, and RNA Interference -- VI. Supporting Evidence for the Proposed Model -- VII. The Search for Additional PTGS Components -- VIII. Conclusions -- References -- Chapter 10. Non-Mendelian Inheritance and Homology-Dependent Effects in Ciliates -- I. Introduction -- II. Regulation of IES Excision by Homology-Dependent Maternal Effects -- III. Regulation of Zygotic Genome Amplification and Chromosome Fragmentation by Homology-Dependent Maternal Effects -- IV. Conclusions -- References -- Chapter 11. RNAi (Nematodes: Caenorhabditis elegans) -- I. Introduction/History -- II. RNAi and Other Silencing Mechanisms in C. elegans -- III. Spreading and Persistence of RNAi -- IV. Molecular Mechanism of RNAi -- V. Components of the RNAi Pathway -- VI. RNAi and Development -- References -- Chapter 12. Antisense RNAs in Bacteria and Their Genetic Elements -- I. Introduction-Antisense Principle and Gene Regulation -- II. Naturally Occurring Antisense RNA Control Systems -- III. Antisense RNA Mechanisms and Biological Context -- IV. Antisense Structure and Kinetics of Binding -- V. Matching Antisense RNA Properties with Biological Roles -- VI. Concluding Remarks -- References -- Chapter 13. Transvection in Drosophila -- I. Introduction -- II. Historical Background to Bithorax-Complex Transvection -- III. Transvection, trans Sensing, and Homology Effects -- IV. Trans-Acting zeste Proteins and Transvection -- V. "Critical Regions" for Transvection -- References -- Chapter 14. Pairing-Sensitive Silencing, Polycomb Group Response Elements, and Transposon Homing in Drosophila -- I. Introduction -- II. Three Types of mini-white Silencing -- III. mini-white Silencing by PREs -- IV. Effect of Mutations in Polycomb Group Genes on mini-white Silencing. , V. mini-white Silencing by Other Elements -- VI. Is the engrailed PS Fragment a PRE? -- VII. Pleiohomeotic, PREs and PS Sites -- VIII. Not All PS Sites Are PREs and Vice Versa -- IX. Pairing-Sensitive Silencing Has Not Been Demonstrated in the Embryo -- X. Transposon Homing -- XI. Preferential Insertion of PRE-Containing Transposons Near Endogenous PREs -- XII. Conclusions -- References -- Chapter 15. Repeat-Induced Gene Silencing in Fungi -- I. Introduction -- II. Discovery and Basic Features of RIP and MIP -- III. De Novo and Maintenance Methylation Associated with MIP and RIP -- IV. Consequences of RIP and MIP -- V. Concluding Remarks -- References -- Chapter 16. The Evolution of Gene Duplicates -- I. Introduction -- II. Evolutionary Forces Affecting Gene Copy Number -- III. Discussion -- IV. Appendix: Modeling the Invasion of a Duplicate Gene -- References -- Chapter 17. Prions of Yeast as Epigenetic Phenomena: High Protein "Copy Number" Inducing Protein "Silencing" -- I. Introduction -- II. Three Genetic Criteria for Prions -- III. [URE3] as a Prion of the Ure2 Protein -- IV. Self-Propagating Ure2p Amyloid Is the [URE3] Prion -- V. MKS1 Is Necessary for de Novo Generation of the [URE3] Prion -- VI. Chaperones Affecting [URE3] Propagation -- VII. [PSI] as a Prion of the SUP35 Protein -- VIII. Chaperones and [PSI+] -- IX. Portable Prion Domains and Synthetic Prions -- X. Curing of [URE3] and [PSI+] -- XI. [Het-s], a Prion with a Normal Cellular Function -- XII. Are Yeast Prions Adaptive, a Cellular Stress, or Both? -- XIII. [PIN+] Is Required for Inducibility of [PSI+] -- XIV. [KIL-d] Is an Epigenetic Phenomenon: Is It a Prion? -- XV. Are Transmissible Spongiform Encephalopathies of Mammals Due to Prions? -- XVI. Conclusions -- References -- Index.

Note: Front Cover -- Neural Networks and Genome Informatics -- Copyright Page -- Table of Contents -- Dedication -- Preface -- Acknowledgements -- Part I: Overview -- Chapter 1. Neural Networks for Genome Informatics -- 1.1 What Is Genome Informatics -- 1.2 What Is An Artificial Neural Network -- 1.3 Genome Informatics Applications -- 1.4 References -- Part II: Neural Network Foundations -- Chapter 2. Neural Network Basics -- 2.1 Introduction to Neural Network Elements -- 2.2 Transfer Functions -- 2.4 Simple Feed-Forward Network Example -- 2.5 Introductory Texts -- 2.6 References -- Chapter 3. Perceptrons and Multilayer Perceptrons -- 3.1 Perceptrons -- 3.2 Multilayer Perceptrons -- 3.3 References -- Chapter 4. Other Common Architectures -- 4.1 Radial Basis Functions -- 4.2 Kohonen Self-organizing Maps -- 4.4 References -- Chapter 5. Training of Neural Networks -- 5.1 Supervised Learning -- 5.3 Unsupervised Learning -- 5.4 Software for Training Neural Networks -- 5.5 References -- Part III: Genome Informatics Applications -- Chapter 6. Design Issues - Feature Presentation -- 6.1 Overview of Design Issues -- 6.2 Amino Acid Residues -- 6.3 Amino Acid Physicochemical and Structural Features -- 6.4 Protein Context Features and Domains -- 6.5 Protein Evolutionary Features -- 6.6 Feature Representation -- 6.7 References -- Chapter 7. Design Issues - Data Encoding -- 7.1 Direct Input Sequence Encoding -- 7.2 Indirect Input Sequence Encoding -- 7.3 Construction of Input Layer -- 7.4 Input Trimming -- 7.5 Output Encoding -- 7.6 References -- Chapter 8. Design Issues - Neural Networks -- 8.1 Network Architecture -- 8.2 Network Learning Algorithm -- 8.3 Network Parameters -- 8.4 Training and Test Data -- 8.5 Evaluation Mechanism -- 8.6 References -- Chapter 9. Applications - Nucleic Acid Sequence Analysis -- 9.1 Introduction. , 9.2 Coding Region Recognition and Gene Identification -- 9.3 Recognition of Transcriptional and Translational Signals -- 9.4 Sequence Feature Analysis and Classification -- 9.5 References -- Chapter 10. Applications - Protein Structure Prediction -- 10.1 Introduction -- 10.2 Protein Secondary Structure Prediction -- 10.3 Protein Tertiary Structure Prediction -- 10.4 Protein Folding Class Prediction -- 10.5 References -- Chapter 11. Applications - Protein Sequence Analysis -- 11.1 Introduction -- 11.2 Signal Peptide Prediction -- 11.3 Other Motif Region and Site Prediction -- 11.4 Protein Family Classification -- 11.5 References -- Part IV: Open Problems and Future Directions -- Chapter 12. Integration of Statistical Methods into Neural Network Applications -- 12.1 Problems in Model Development -- 12.2 Training Issues -- 12.3 Interpretation of Results -- 12.4 Further Sources of Information -- 12.5 References -- Chapter 13. Future of Genome Informatics Applications -- 13.1 Rule and Feature Extraction from Neural Networks -- 13.2 Neural Network Design Using Prior Knowledge -- 13.3 Conclusions -- 13.4 References -- Glossary -- Author Index -- Subject Index.

Note: Intro -- Grafting - Characterization Techniques - Kinetic Modeling -- Editorial Board -- Contents -- Surface Modification of Polymers by Grafting -- Phase Structure of Polyethylene and Other Crystalline Polymers by Solid-State 13C NMR -- Laser Light Scattering Characterization of Special Intractable Macromolecules in Solution -- Mean-Field Kinetic Modeling of Polymerization: The Smoluchowski Coagulation Equation -- Author Index Volumes -- Subject Index.

Note: Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 Introduction -- References -- 2 The Vision of the Healthcare Industry for Supporting the Aging Population -- 2.1 Healthcare Needs of the Ageing People -- 2.2 Elderly Healthcare System -- 2.2.1 Short-Term Healthcare Service -- 2.2.2 Long-Term Healthcare Service -- 2.3 Conclusion -- References -- 3 Building Long-Term Care Services Around the World -- 3.1 Introduction -- 3.2 Ageing Policies in Taiwan -- 3.3 Ageing Policies in Hong Kong -- 3.4 Ageing Policies in Japan -- 3.5 Ageing Policies in the United States -- 3.6 Conclusion -- References -- 4 IOT and Cloud Computing for Development of Systems for Elderly and eHealth -- 4.1 Integration of IoT Technologies and Cloud Computing in Health Monitoring -- 4.1.1 IoT Technologies and Cloud Computing in Health Monitoring -- 4.1.2 Application of Remote Health Monitoring -- 4.1.3 Benefits of Remote Health Monitoring -- 4.2 Health Information Management System and eHealth -- 4.2.1 Health Information System -- 4.2.2 eHealth -- 4.3 Challenges for Health Information System and eHealth -- 4.4 Conclusion -- References -- 5 New Generation of Healthcare Services Based on Internet of Medical Things, Edge and Cloud Computing Infrastructures -- 5.1 Introduction -- 5.2 Related Work, Internet of Medical Things and Stream Processing Engines -- 5.2.1 Offloading Computation from Cloud to Edge -- 5.2.2 The Intelligent Edge -- 5.2.3 Design of Wearables -- 5.2.4 Semantic Edge -- 5.2.5 Stream Processing Engines -- 5.3 A Generic Type Architecture of Healthcare Applications Based on IoMT, Edge and Cloud Computing -- 5.3.1 Sensing Layer -- 5.3.2 Pre-processing Layer -- 5.3.3 Cluster/Fog Processing Layer -- 5.3.4 Persistence Layer -- 5.3.5 Application Layer. , 5.4 IoMT Data Stream Processing for Anomaly Detection with Application to Heart Diseases and Real Data Sets -- 5.4.1 Hierarchical Temporal Memory Algorithm (HTM) -- 5.4.2 REALDISP Dataset -- 5.5 Conclusions and Prospects -- References -- 6 Artificial Intelligence and Data Mining Techniques for the Well-Being of Elderly -- 6.1 Introduction -- 6.2 Artificial Intelligence Techniques -- 6.2.1 Fuzzy Logic -- 6.2.2 Case-Based Reasoning -- 6.2.3 Genetic Algorithm -- 6.2.4 Analytic Hierarchy Process (AHP) -- 6.3 Data Mining Techniques -- 6.3.1 Clustering -- 6.3.2 Classification -- 6.3.3 Association Rule Mining -- 6.4 Conclusions -- References -- 7 Domesticating Homecare Services -- 7.1 Introduction -- 7.2 Research Methodology of Domesticating Homecare Services -- 7.2.1 Front-End Homecare Service Request Module -- 7.2.2 Back-End Homecare Service Planning Module -- 7.3 Case Study in a Local Domestic Homecare Service Center -- 7.3.1 Data Extraction and Data Processing -- 7.3.2 Development of the Genetic Algorithm Model for Work Plan Scheduling -- 7.4 Results and Discussion -- 7.5 Conclusions -- References -- 8 Case Study in Fall Prevention in Indoor Environments -- 8.1 Introduction -- 8.2 Research Methodology -- 8.2.1 Data Collection and Consultation Module -- 8.2.2 Balance Board Development Module -- 8.2.3 Health Platform Development Module -- 8.3 Case Study -- 8.3.1 Test -- 8.3.2 Training and Rehabilitation -- 8.3.3 Scores -- 8.4 Discussion -- 8.5 Conclusion -- References -- 9 Case Study in Elderly Consultancy Services -- 9.1 Introduction -- 9.2 Research Methodology -- 9.2.1 Cloud-Based Data Collection Module -- 9.2.2 Care Solution Generation Module -- 9.2.3 Solution Evaluation Module -- 9.3 Case Study -- 9.3.1 Problems in the Case Company -- 9.3.2 Implementation of the Proposed ICPS in the Case Company -- 9.4 Results and Discussion. , 9.4.1 Improvement in the Efficiency of Care Plan Formulation -- 9.4.2 Performance in Feedback Collection -- 9.4.3 Improvement in Service Satisfaction -- 9.5 Conclusion -- References -- 10 Case Study in Remote Diagnosis -- 10.1 Introduction -- 10.2 IoT Based Healthcare Platform -- 10.3 Case Study -- 10.4 Discussion -- 10.5 Conclusion -- References -- Conclusions and Future Directions of Research -- Acronyms and Glossary.