Note: Intro -- Preface -- Contents -- About the Editors -- Decision Support Systems -- Enterprise Performance Management Optimization Based on Big Data -- 1 The Role of Big Data in the Optimization of Enterprise Performance Management -- 2 Problems Existing in the Implementation of Enterprise Performance Management in the Context of Big Data -- 3 Optimize the Path of Enterprise Performance Management -- 3.1 Improve Enterprise Human Resource Management Mode -- 3.2 Improve Performance Management Awareness -- 3.3 The Construction of Information System -- 3.4 Big Data Technology Should Be Combined with Business Philosophy -- 3.5 Establish a Corporate Culture System Matching Big Data Performance Management -- 4 Conclusion -- References -- The Study on Optimal Green Supply Chain of New Energy Vehicles -- 1 Introduction -- 2 Model Construction and Analysis -- 2.1 Model Assumptions -- 2.2 Model Construction -- 2.3 Single Factor Allocation Scheme -- 2.4 Comprehensive Factors Benefit Distribution Plan -- 3 Rationality and Feasibility Analysis of the Model -- 3.1 Overview of the Case Enterprise and Profit Distribution -- 3.2 Calculation of Profit Distribution of Case Enterprise and Supply Chain Benefit Distribution of Single Factor -- 3.3 Profit Distribution of Comprehensive Factors -- 3.4 Comparative Analysis of Benefit Distribution Results -- 4 Conclusion and Recommendations -- References -- Research on the Application of Big Data Technology in the Process of Cross-Border E-Commerce Product Selection -- 1 The Basic Cognition of Big Data Technology in Cross-Border E-Commerce Field -- 1.1 Conceptual Recognition of Big Data Technology -- 1.2 The Application Value of Big Data in Cross-Border E-Commerce -- 2 The Main Problems of Cross-Border E-Commerce Product Selection -- 2.1 Isolated Data Islands -- 2.2 Product Homogenization. , 2.3 Localization of Product Selection -- 3 Data Dimension Analysis When Big Data Technology Is Applied to Cross-Border E-Commerce Product Selection -- 3.1 Data Dimension Analysis on Cross-Border E-Commerce Platforms -- 3.2 Dimensional Analysis of Cross-Border E-Commerce Customer Data -- 4 Cross-Border E-Commerce Product Selection Strategies Using Big Data Technology -- 4.1 Determine the Product Line on the Cross-Border E-Commerce Platforms -- 4.2 Determine the Target Customer Group -- 4.3 Combine Marketing and Promotion Strategies -- 5 Prospects of Applying Big Data Technology to Cross-Border E-Commerce Product Selection -- References -- Construction of a Decision Model for the Evaluation System of Practical Teaching Quality Based on AHP -- 1 Introduction -- 2 General Situation of the Practical Teaching Mode of Vocational Education -- 2.1 General Situation of Foreign Vocational Education Practice Teaching Mode -- 2.2 General Situation of Practical Teaching Mode in Domestic -- 3 Analysis of the Quality Evaluation of Practical Teaching -- 4 AHP Model Overview -- 4.1 Construct the Hierarchical Model -- 4.2 Construct a Pairwise Comparison Judgment Matrix and Assign Values -- 4.3 Hierarchical List Sorting and Consistency Check -- 4.4 Level Total Ranking and Consistency Test -- 5 Construction of Evaluation System of Practical Training -- 5.1 Constructing the Evaluation Model -- 5.2 Constructing the Evaluation Index System of Practical Teaching Quality -- 5.3 Scoring Criteria for Secondary Indicators -- 6 Conclusion -- References -- Live Stream and Willingness to Buy: The Interactivity Between Loneliness and Para-social Interaction -- 1 Introduction -- 2 Literature Review and Research Hypothesis -- 2.1 Literature Review -- 2.2 Research Hypothesis -- 3 Study I -- 3.1 Study Design and Process -- 3.2 Data Results and Discussion -- 4 Study II. , 4.1 Study Design and Process -- 4.2 Data Results and Discussion -- 5 Conclusions and Discussion -- 5.1 Conclusion -- 5.2 Theoretical Contributions -- 5.3 Management Implications -- 5.4 Research Shortcomings and Future Perspectives -- References -- Research on Support Capability Evaluation of Road Emergency Transport Support Series Equipment Based on Disaster Condition Emergency Transport Task -- 1 Introduction -- 2 Equipment Support Capability Model Based on Disaster Conditions -- 2.1 Equipment Support Task Analysis -- 2.2 Equipment Support Capability Indicators -- 3 Fuzzy Comprehensive Evaluation Model -- 3.1 Determine the Factor Domain of the Evaluation Object -- 3.2 Determine the Grading Theory Domain of Comments -- 3.3 Establish Fuzzy Relation Matrix -- 3.4 Determine the Weight Vector of Evaluation Factors -- 3.5 Synthesize the Fuzzy Comprehensive Evaluation Result Vector -- 4 Application Analysis of Road Emergency Transport Equipment Support Capability -- 4.1 Weight Analysis -- 4.2 Quantitative Analysis of Indicators -- 4.3 Evaluation Results -- 5 Conclusion -- References -- Research on Emergency Decision-Making Ability of College Student Management Team Based on Prospect Theory -- 1 The Basic Model and Applicability Analysis of Prospect Theory -- 1.1 Basic Model of Prospect Theory -- 1.2 Analysis of the Applicability of Prospect Theory in the Emergency Decision-Making Ability of College Student Management Teams -- 2 The Status Quo of Emergency Management Decision-Making of College and University Student Teams Based on Prospect Theory -- 2.1 The Pre-prevention and Response to Emergency Management in Colleges and Universities Is Insufficient -- 2.2 Improper Response to Emergency Management in Colleges and Universities -- 2.3 The Ability of Colleges and Universities to Guide Emergency Management After the Fact Is Weak. , 3 The Impact and Challenge of Emergencies on the Decision-Making Ability of Emergency Management in Colleges and Universities -- 3.1 Impact on the Organization of Early Warning Emergency Monitoring and Emergency Decision-Making -- 3.2 Challenges to Emergency Management Work Plans, Decision-Making Ability and Working Procedures -- 4 Optimize the Path of Emergency Management for University Student Management Team to Deal with Emergencies -- 4.1 Improve the Emergency Decision-Making Management Organization and the Emergency Decision-Making System -- 4.2 Prevent Online Public Opinions of Emergencies, Improve Work Plans and Standardize Decision-Making Procedures of Emergency Management -- 4.3 Unblock Emergency Information Channels, Do a Good Job in Summarizing Afterward, and Restore Campus Order -- References -- Analysis on the Present Situation and Countermeasures of Employment Decision-Making of College Graduates -- 1 Introduction -- 2 Current Situation of College Graduates' Employment Decision-Making -- 3 Analysis and Integration of Related Research -- 4 Problems Existing in Employment Decision-Making of College Graduates -- 4.1 Cognitive Limitations -- 4.2 Insufficient Employment Information Obtained -- 4.3 Lack of Ability to Make Employment Decisions -- 5 Effective Countermeasures for Employment Decision-Making of College Graduates -- 5.1 Improve the Metacognitive Level of Graduates -- 5.2 Broaden Access to Employment Information -- 5.3 Broaden Access to Employment Information -- 6 Research Implications and Prospects -- References -- Research on Multi-objective Decision Making of Hydropower Station Group Based on CRITIC-TOPSIS Method -- 1 Introduction -- 2 Principle -- 2.1 Comprehensive Evaluation Method Based on CRITIC Weight -- 2.2 Distance-Based Multi-objective Decision-Making Method -- 3 Methods and Procedures. , 3.1 Index Weight Is Obtained Through CRITIC -- 3.2 Solution Ranking Preferences Using the TOPSIS Method -- 4 Case Analysis -- 4.1 Determination of Evaluation Indicators and Attribute Values -- 4.2 Program Evaluation Results -- 4.3 Comparative Analysis of Results with Traditional Multi-objective Decision-Making Methods -- 4.4 Further Preferences in Context -- 5 Conclusion -- References -- Analysis of Influencing Factors of Resident Consumption Level and Establishment of Decision-Making Management Mechanism-Taking Shaanxi Province as an Example -- 1 Research Background -- 1.1 Research Purpose and Significance -- 1.2 Research Contents and Methods -- 2 Current Consumption Level of Residents in Shaanxi Province -- 2.1 Empirical Analysis -- 2.2 Parameter Estimation of the Model -- 2.3 Correlation Analysis -- 3 Analysis Results and Conclusions -- 4 Establish a Scientific Decision-Making Management Mechanism -- 4.1 Developing Industries with Distinctive Features -- 4.2 Narrow the Gap Between Rich and Poor -- 4.3 The Country Should Enhance the Willingness to Consume -- References -- Research on Social Atomization Risk and Governance Decision Making in Emerging Community -- 1 Research Status of Social Atomized and Complex Agent Network Models -- 1.1 Research Status of Social Atomization -- 1.2 Research Status of Complex Agent Network Models -- 1.3 Comprehensive Review -- 2 Investigation and Hypothesis of Atomization of Emerging Community Society -- 2.1 Assumption of Model Construction -- 2.2 Artificial Network Social Evolution Simulation Process -- 2.3 Countermeasure Pilot Experiment and Simulation Test -- 3 Summary and Analysis -- References -- An Empirical Study on the Influence of Internal Control Environment on the Quality of Accounting Information of Listed Companies -- 1 Introduction. , 2 The Theoretical Basis of the Influence of Internal Control Environment on Accounting Information Quality.

Note: Intro -- Committees -- Chief Patron -- Patrons -- Finance Chair -- General Chair -- International Advisory Committee -- Program Chair -- Program Committee -- Organizing Chair -- Organizing Co-chair -- Conference Coordinator -- Convener -- Co-convenor -- Technical Program Committee Chairs -- Preface -- Contents -- About the Editors -- Part I Cloud Computing, Image Processing, and Software -- 1 An Intelligent Online Attendance Tracking System Through Facial Recognition Technique Using Edge Computing -- 1.1 Introduction -- 1.1.1 Motivation and Contribution -- 1.1.2 Organization of the Paper -- 1.2 Related Works -- 1.2.1 In the Year 2017 -- 1.2.2 In the Year 2018 -- 1.2.3 In the Year 2019 -- 1.2.4 In the Year 2020 -- 1.3 Significance of Edge Computing for Online Attendance Tracking System -- 1.4 Methodology -- 1.4.1 Student Registration -- 1.4.2 Faculty Registration -- 1.4.3 Image Capture -- 1.4.4 Face Detection -- 1.4.5 Extraction of Face Encodings -- 1.4.6 Face Recognition -- 1.4.7 Attendance Updation -- 1.5 Practical Implementation -- 1.6 Results and Discussion -- 1.7 Conclusion and Future Work -- References -- 2 Cloud Analytics: An Outline of Tools and Practices -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Exploring the Ideology in Cloud-Based Analytics -- 2.4 Cloud Analytics Platforms -- 2.4.1 Qlik Sense Enterprise -- 2.4.2 Tableau -- 2.4.3 IBM Watson Analytics -- 2.4.4 Microsoft Power BI -- 2.4.5 TIBCO Spotfire X -- 2.4.6 SAS Business Analytics -- 2.5 Discussions -- 2.5.1 Benefits to Cloud-Based Analytics -- 2.5.2 Overview of Emerging Trends -- 2.6 Conclusion -- References -- 3 An Enhanced Fault-Tolerant Load Balancing Process for a Distributed System -- 3.1 Introduction -- 3.2 Background -- 3.2.1 Related Work -- 3.3 Proposed Enhanced Load Balancing Scheme with Resource Failure Rate Consideration -- 3.4 Simulated Results -- 3.4.1 Results. , 3.5 Conclusion -- References -- 4 HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- 4.1 Introduction -- 4.2 Related Works -- 4.3 HeartFog Architecture -- 4.3.1 Technology Used -- 4.3.2 Hardware Components Used -- 4.3.3 Software Components Used -- 4.4 HeartFog Design -- 4.4.1 Dataset -- 4.4.2 Heart Patient Data Pre-processing -- 4.4.3 Ensemble DL Application -- 4.4.4 Android Interface and Communication -- 4.4.5 Experimental Set-Up -- 4.4.6 Implementation -- 4.5 Results and a Discussion -- 4.6 Conclusion and Future Scope -- References -- 5 A Cloud Native SOS Alert System Model Using Distributed Data Grid and Distributed Messaging Platform -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Preliminaries -- 5.3.1 ZooKeeper as Cluster Coordinator -- 5.3.2 Kafka as a Data Streaming Platform -- 5.3.3 Ignite as the In-Memory Data Grid -- 5.4 Proposed Architecture -- 5.5 Implementation -- 5.6 Conclusion -- References -- 6 Efficient Peer-to-Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Proposed Work -- 6.3.1 Overview -- 6.3.2 Framework Architecture -- 6.3.3 Content Uploading and Splitting -- 6.3.4 Fingerprint Detection -- 6.3.5 Content Distribution -- 6.3.6 Anonymous Communication Protocol -- 6.3.7 Identification of Illegal Distribution -- 6.4 Experimental Results -- 6.4.1 Content Uploading and Splitting -- 6.4.2 Fingerprint Generation -- 6.4.3 Content Distribution -- 6.4.4 Identifying and Preventing Illegal Redistribution -- 6.5 Conclusion -- References -- 7 An Integrated Facemask Detection with Face Recognition and Alert System Using MobileNetV2 -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Methodology -- 7.3.1 Facemask Detection Model -- 7.3.2 The Face-Recognition Model -- 7.3.3 Database -- 7.3.4 Web Application -- 7.4 Results. , 7.5 Conclusion -- References -- 8 Test Case Generation Using Metamorphic Relationship -- 8.1 Introduction -- 8.2 Usability of Successful Test Cases -- 8.3 The Formalization and Insight of Metamorphic Testing -- 8.4 Conclusion -- References -- Part II IoT/Network -- 9 IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- 9.1 Introduction -- 9.2 Previous Work -- 9.2.1 Architecture -- 9.2.2 Communication Protocol -- 9.3 IRHMP-IoT-Based Remote Health Monitoring and Prescriber System -- 9.3.1 Architecture -- 9.3.2 Functionalities Doctor -- 9.3.3 Implementation Working -- 9.4 Conclusion -- References -- 10 On Boundary-Effects at Cellular Automata-Based Road-Traffic Model Towards Uses in Smart City -- 10.1 Introduction -- 10.2 Review of the State-of-the-Art Available Works -- 10.3 Proposed Empirical Investigation -- 10.3.1 Search for More ECA Rules Toward Uses in Road-Traffic Simulation -- 10.3.2 Investigations on ECA Dynamics Toward Road-Traffic Simulation at Various Fixed-Boundary Situations -- 10.4 Detailed Discussions -- 10.5 Conclusive Remarks -- References -- 11 An Optimized Planning Model for Management of Distributed Microgrid Systems -- 11.1 Introduction -- 11.1.1 Components of a Micro Grid -- 11.1.2 Type of Micro Grid -- 11.2 Literature Survey -- 11.3 Proposed Model -- 11.3.1 Methodology -- 11.4 Results and Discussion -- 11.4.1 For PV System -- 11.4.2 For Wind System -- 11.4.3 For Fuel Cells Power Generating Systems -- 11.5 Conclusions -- References -- 12 Hard and Soft Fault Detection Using Cloud Based VANET -- 12.1 Introduction -- 12.2 Literature Study -- 12.3 Proposed Approach -- 12.3.1 Hard Permanent Fault Detection -- 12.3.2 Soft Fault Diagnosis -- 12.3.3 Fault Status Transmission Through Vehicular Cloud -- 12.4 Simulation Experiments and Discussions -- 12.5 Conclusion -- References. , 13 A Novel Intelligent Street Light Control System Using IoT -- 13.1 Introduction -- 13.2 Related Works -- 13.3 State of Art -- 13.3.1 Node MCU -- 13.3.2 PIR Sensor -- 13.3.3 Channel Relay -- 13.3.4 LDR -- 13.4 Proposed System -- 13.5 Features of Smart Street Light System -- 13.6 Results and Discussion -- 13.7 Conclusion and Future Scope -- References -- 14 Enhancing QoS of Wireless Edge Video Distribution using Friend-Nodes -- 14.1 Introduction -- 14.2 System Model -- 14.3 Video Dissemination Architecture -- 14.4 Simulation and Results -- 14.5 Conclusion -- References -- 15 Groundwater Monitoring and Irrigation Scheduling Using WSN -- 15.1 Introduction -- 15.2 Materials and Method -- 15.2.1 System Design -- 15.2.2 Data Collection -- 15.2.3 Hardware -- 15.2.4 Software and Database -- 15.2.5 Groundwater Level Measurement and Pumping Time -- 15.2.6 Crop Water Demand -- 15.2.7 Irrigation Water Requirements -- 15.2.8 Energy Consumption -- 15.2.9 Process Flow Diagram -- 15.2.10 Dashboard -- 15.3 Results -- 15.3.1 Discharge and Recharge of Groundwater -- 15.3.2 Electricity Consumption -- 15.3.3 Crop Water Demand -- 15.4 Conclusion -- References -- 16 A Soft Coalition Algorithm for Interference Alignment Under Massive MIMO -- 16.1 Introduction -- 16.2 System Model -- 16.3 Proposed Model -- 16.4 Experiment Results -- 16.5 Conclusion -- References -- Part III Optimization and Nature Inspired Methods -- 17 Improved Grasshopper Optimization Algorithm Using Crazy Factor -- 17.1 Introduction -- 17.2 Grasshopper Optimization Algorithms -- 17.2.1 Basic Grasshopper Optimization Algorithm (GOA) -- 17.2.2 Improved GOA with Crazy Factor (Crazy-GOA) -- 17.3 Result Analysis -- 17.4 Conclusion -- References -- 18 Reliability Estimation Using Fuzzy Failure Rate -- 18.1 Introduction -- 18.2 Reliability Using Fuzzy System -- 18.3 Discussion -- 18.4 Illustration. , 18.5 Conclusion -- References -- 19 A Sine Cosine Learning Algorithm for Performance Improvement of a CPNN Based CCFD Model -- 19.1 Introduction -- 19.2 Proposed SCA-CPNN-Based CCFD Model -- 19.2.1 Evaluation Criteria -- 19.3 Experimental Result Discussion -- 19.4 Conclusion -- References -- 20 Quality Control Pipeline for Next Generation Sequencing Data Analysis -- 20.1 Introduction -- 20.2 Background and Related Work -- 20.3 Datasets -- 20.4 Methods and Material -- 20.4.1 Duplicate Removal and Trimming -- 20.4.2 NGS Dataset -- 20.4.3 NULL Value Removal -- 20.4.4 Normalization -- 20.4.5 Dimensionality Reduction -- 20.5 Result Discussion -- 20.5.1 The Differentially Expressed Genes and Outlier Detection Visualization -- 20.5.2 The Differentially Expressed Gene Selection Using Dimension Reduction -- 20.6 Conclusion and Future Work -- References -- 21 Fittest Secret Key Selection Using Genetic Algorithm in Modern Cryptosystem -- 21.1 Introduction -- 21.1.1 Background -- 21.1.2 Motivation -- 21.1.3 Contribution -- 21.2 Preliminaries -- 21.2.1 Illustration of AVK -- 21.2.2 Genetic Algorithm -- 21.3 Proposed Work -- 21.4 Experiment Examples -- 21.5 Experiment Results -- 21.6 Performance Analysis -- 21.7 Randomness Verification -- 21.8 Conclusion -- 21.9 Future Work -- References -- 22 Variable Step Size Firefly Algorithm for Automatic Data Clustering -- 22.1 Introduction -- 22.2 Related Work -- 22.3 Variable Step Size Firefly Algorithm -- 22.4 Result Analysis -- 22.5 Conclusion -- References -- 23 GWO Based Test Sequence Generation and Prioritization -- 23.1 Introduction -- 23.1.1 Motivation -- 23.2 Basic Concept -- 23.2.1 GWO Algorithm -- 23.2.2 Adjacency Matrix -- 23.2.3 Objective Function/Fitness Function -- 23.3 Proposed Approach -- 23.3.1 Overview -- 23.3.2 Generation of Control Flow Graph -- 23.4 Implementation -- 23.4.1 Experimental Result. , 23.4.2 Prioritization.

Note: Intro -- Editorial -- Acknowledgements -- Contents -- Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm -- 1 Introduction -- 1.1 Industry 4.0 Paradigm -- 1.2 V.U.C.A. Factors -- 1.3 Applied Machine Learning -- 2 Role of Some Common ML Techniques Applied in Industry 4.0 Platforms for V.U.C.A. Management -- 2.1 The Role of Linear Regression -- 2.2 The Role of Logistic Regression -- 2.3 The Role of Decision Tree -- 2.4 The Role of Random Forest -- 2.5 The Role of SVM -- 2.6 The Role of Naïve Bayes -- 2.7 The Role of kNN (k-Nearest Neighbors) -- 2.8 The Role of k-Means -- 3 V.U.C.A. Management in Industry 4.0 -- 4 Conclusion -- References -- Role of Industry 4.0 in Performance Improvement of Furniture Cluster -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Discussion and Conclusion -- Annexure: Explanation of Factors -- References -- Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Strength Areas -- 4.1 MS Excel -- 4.2 IBM SPSS -- 4.3 R -- 4.4 GRETL -- 4.5 Python -- 5 Conclusion -- References -- Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Fuzzy DEMATEL -- 3.2 Fuzzy TOPSIS -- 3.3 Fuzzy SWARA -- 4 Problem Description -- 5 Proposed Framework to Rank Criteria -- 5.1 Phase I: Identification Key GSCM Criteria -- 5.2 Phase II: Ranking Criteria by Fuzzy DEMATEL -- 5.3 Phase III: Determining Weights by Fuzzy SWARA -- 5.4 Phase IV: Comparison of the Results -- 6 Implementation of Proposed Framework -- 6.1 Ranking the Criteria by Fuzzy DEMATEL -- 6.2 Ranking the Criteria by Fuzzy TOPSIS. , 6.3 Computing Weights by Fuzzy SWARA -- 6.4 Fuzzy TOPSIS for Ranking the Criteria -- 7 Results and Discussions -- 8 Managerial Implications -- 9 Conclusions -- References -- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry -- 1 Introduction -- 2 Supply Chain Management and Performance Measurement Systems -- 3 Textile Supply Chain -- 4 Decision Support System Using Balanced Score Card and Analytic Hierarchy Process -- 5 Research Case Problem -- 6 Methodology Used in Developing DSS -- 7 Case Study -- 8 Data Analysis -- 9 Results and Discussion -- 10 Managerial Implication -- 11 Conclusion -- 12 Limitation -- Appendix -- References -- A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers -- 1 Introduction -- 2 Literature Survey -- 2.1 Corrosive Sulphur Problem and Consequence -- 3 Currently Applied CM Techniques -- 3.1 Oil Analysis Technique -- 3.2 Electrical Testing Technique -- 3.3 Reaction Mechanism of Formation CSD -- 3.4 Maintenance Approaches -- 4 Result and Discussion -- 4.1 Gap in Implementation Relevant Oil Analysis -- 4.2 Gap in Implementation Relevant Electrical Testing -- 4.3 Gap in Relevant Corrosion Reaction Mechanism -- 4.4 Gap in Detection Relevant Gases By-Products -- 4.5 Outline of Capabilities and Shortcomings -- 5 Conclusion -- References -- Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach -- 1 Introduction -- 2 Related Research Work -- 3 Multivariate Statistical Control Charts -- 3.1 Hotelling T2 Charts for Individual Observations -- 4 Data Dimensionality Reduction Using Principal Components Analysis -- 5 Machine Vision Approach for Extraction of Quality Parameters -- 6 PC Based MSPM Using MVS: A Case Study. , 6.1 Extraction of Dimensions -- 6.2 Extraction of Surface Texture -- 7 Methodology for PC Based MSPM Using MV -- 8 Results and Discussion -- 9 Conclusion -- References -- Green IS-Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture -- 1 Introduction -- 2 Green IS-IS Supporting Environmental Care in Firms -- 2.1 Green IS-The Need of a "Big Picture" -- 2.2 Organization Information Space and IS Information Fields -- 3 EA as a Meta-Architecture and Modelling of Green IS -- 4 Green IS as a Functioning Enterprise-EA View -- 4.1 Environmentally Sensitive Business Model (Row 2-Owner's Perspective) -- 4.2 Environmentally Supportive Systems Model (Row 3-Designer's Perspective) -- 4.3 Environmentally Enhanced Technology Model (Row 4-Builder's Perspective) -- 4.4 Scope of Green IS (Row 1-Scope or Planner's View) -- 5 Discussions -- 5.1 Green IS-Connecting the Views Together -- 5.2 OIC and Green IS-Interconnectivity -- 6 Conclusions -- References.

Note: Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Authors -- Chapter 1: Introduction to Environmental Measurements -- 1.1 Role of Measurement in Environmental Studies -- 1.1.1 Units of Measurement -- 1.1.2 Conversions between Units -- 1.1.3 Significant Figures -- 1.2 Pollutants: Sources and Measurements -- 1.2.1 Classes of Environmental Contaminants -- 1.2.1.1 Products of Combustion -- 1.2.1.2 Industrial Emissions -- 1.2.1.3 Other Sources of Environmental Contamination -- 1.2.2 Regulating the Environment -- 1.3 Design of Environmental Studies -- 1.3.1 Sampling and Analysis -- 1.4 Basic Statistical Data Handling -- 1.4.1 Errors in Quantitative Analysis -- 1.4.2 Statistics of Repeated Measurements: Precision -- 1.4.2.1 Precision and Standard Deviation -- 1.4.3 Distribution of Error -- 1.4.4 Confidence Interval and the t-Distribution -- 1.4.4.1 Estimation of Mean from Several Sets of Measurements -- 1.4.4.2 Estimation of Standard Deviation from Several Sets of Measurements -- 1.5 Significance Tests -- 1.5.1 Hypothesis Testing -- 1.5.1.1 Comparison between a Measured and a Known Value -- 1.5.1.2 Comparison of the Mean of Two Samples -- 1.5.1.3 Comparison of Standard Deviations Using the F-Test -- 1.5.2 Outliers -- 1.5.2.1 Rule of the Huge Error -- 1.5.2.2 Dixon Test for Rejection of Outliers -- 1.5.3 Reporting Data -- 1.6 Standards and Calibration -- 1.6.1 Calibration Methods -- 1.6.2 Standard Addition Method -- 1.7 Performance of Analytical Methods: Figures of Merit -- 1.7.1 Sensitivity -- 1.7.2 Detection Limit -- 1.7.3 Range of Quantitation -- 1.7.4 Validation of New Methods -- Study Questions -- Chapter 2: Environmental Sampling -- 2.1 The Sampling Plan -- 2.1.1 Spatial and Temporal Variability -- 2.1.2 Development of the Plan -- 2.1.3 Sampling Strategies -- 2.1.3.1 Systematic Sampling. , 2.1.3.2 Random Sampling -- 2.1.3.3 Judgmental Sampling -- 2.1.3.4 Stratified Sampling -- 2.1.3.5 Haphazard Sampling -- 2.1.3.6 Continuous Monitoring -- 2.2 Types of Samples -- 2.3 Sampling and Analysis -- 2.3.1 Samples in the Laboratory -- 2.4 Statistical Aspects of Sampling -- 2.5 Water Sampling -- 2.5.1 Surface Water Sampling -- 2.5.2 Ground Water Well Sampling -- 2.6 Biological Tissue Sampling -- 2.7 Soil Sampling -- 2.8 Sampling Stratified Levels in Containers -- 2.9 Preservation of Samples -- 2.9.1 Volatilization -- 2.9.2 Choice of Proper Containers -- 2.9.3 Absorption of Gases from the Atmosphere -- 2.9.4 Chemical Changes -- 2.9.5 Sample Preservation for Soil, Sludges, and Hazardous Wastes -- Study Questions -- Chapter 3: Spectroscopic Methods -- 3.1 Spectroscopic Methods for Environmental Analysis -- 3.1.1 Properties of Electromagnetic Radiation -- 3.1.2 The Electromagnetic Spectrum -- 3.1.3 Radiation and Matter -- 3.2 Absorption Spectroscopy -- 3.2.1 Beer's Law -- 3.3 Emission Spectroscopy -- 3.3.1 Fluorescence -- 3.3.2 Atomic Emission -- 3.4 Spectroscopic Apparatus -- 3.4.1 Light Sources -- 3.4.2 Wavelength Selection -- 3.4.2.1 Filters -- 3.4.2.2 Monochromators -- 3.4.3 Detectors -- 3.5 Ultraviolet and Visible Absorption Spectroscopy -- 3.5.1 UV and Visible Instrumentation -- 3.5.1.1 Light Sources -- 3.5.1.2 UV-Vis Detectors -- 3.5.1.3 Ultraviolet: Visible Spectroscopy Samples -- 3.5.2 Colorimetry -- 3.6 Infrared Spectroscopy -- 3.6.1 Scanning Infrared Instrumentation -- 3.6.1.1 IR Sources -- 3.6.1.2 Infrared Monochromators -- 3.6.2 Fourier Transform Infrared Spectrometry -- 3.6.2.1 Advantages of FTIR -- 3.6.2.2 Samples for Infrared Spectroscopy -- 3.7 Atomic Absorption Spectroscopy -- 3.7.1 Flame Atomic Absorbance Spectroscopy -- 3.7.2 Graphite Furnace Atomic Absorption Spectrometry -- 3.7.3 Interferences in Atomic Absorption. , 3.7.3.1 Spectral Interference -- 3.7.3.2 Chemical Interference -- 3.7.3.3 Ionization Interference -- 3.7.3.4 Background Correction in Atomic Absorption Spectrometry -- 3.8 Inductively Coupled Plasma Emission Spectroscopy -- 3.8.1 Comparison of Atomic Spectroscopic Methods -- 3.9 X-Ray Fluorescence -- 3.9.1 Wavelength-Dispersive XRF versus Energy-Dispersive XRF -- 3.9.2 X-Ray Instrumentation -- 3.9.2.1 Sources -- 3.9.2.2 X-Ray Detectors -- 3.9.2.3 X-Ray Fluorescence Samples -- 3.10 Hyphenated Spectroscopic Methods -- Study Questions -- Chapter 4: Chromatographic Methods -- 4.1 Principles of Chromatography -- 4.1.1 Column Efficiency -- 4.1.2 The General Elution Problem -- 4.2 Quantitation in Chromatography -- 4.2.1 External Standard Method -- 4.2.2 The Internal Standard Method -- 4.3 Gas Chromatography -- 4.3.1 Injection Devices -- 4.3.2 Columns -- 4.3.2.1 Packed Columns -- 4.3.2.2 Open Tubular Columns -- 4.3.2.3 Column Temperature -- 4.4 GC Detectors -- 4.4.1 Thermal Conductivity Detector -- 4.4.2 Flame Ionization Detector -- 4.4.3 Electron Capture Detector -- 4.4.4 Photoionization Detector -- 4.4.5 Flame Photometric Detector -- 4.4.6 Pulsed Flame Photometric Detector -- 4.4.7 Thermionic or Nitrogen-Phosphorous Detector -- 4.4.8 Pulsed Discharge Detector -- 4.4.9 Mass Selective Detector -- 4.4.10 Comparison of Detectors -- 4.5 High-Performance Liquid Chromatography -- 4.5.1 Reverse Phase Liquid Chromatography -- 4.5.2 Normal Phase Liquid Chromatography -- 4.6 HPLC Instrumentation -- 4.6.1 Solvent Delivery Systems -- 4.6.2 Solvent Gradient Systems -- 4.6.3 Sample Injectors -- 4.6.4 HPLC Columns -- 4.6.4.1 Precolumns and Guard Columns -- 4.6.4.2 Analytical Columns -- 4.6.4.3 Eluents -- 4.7 HPLC Detectors -- 4.7.1 UV Absorption Detectors -- 4.7.2 Fluorescence Detectors -- 4.7.3 Evaporative Light Scattering Detector -- 4.7.4 Mass Spectrometric Detection. , 4.8 Ion Chromatography -- 4.9 Supercritical Fluid Chromatography -- 4.9.1 SFC Instrumentation -- 4.10 Applications of Chromatography in Environmental Analysis -- Study Questions -- Chapter 5: Mass Spectrometry -- 5.1 Interpretation of Spectra -- 5.2 Basic Instrumentation -- 5.2.1 Vacuum System -- 5.2.2 Inlet -- 5.3 Ion Sources -- 5.3.1 Electron Impact Ionization -- 5.3.2 Chemical Ionization -- 5.3.3 Atmospheric Pressure Ionization Sources -- 5.3.4 Proton Transfer Reaction MS -- 5.4 Mass Analyzers -- 5.4.1 Quadrupole Mass Analyzer -- 5.4.2 Magnetic Sector Mass Analyzer -- 5.4.3 The Ion Trap Mass Analyzer -- 5.5 Ion Detectors -- 5.6 Gas Chromatography MS -- 5.7 Liquid Chromatography MS -- 5.8 Inductively Coupled Plasma MS -- 5.9 Data Collection -- 5.10 Library Searching Techniques -- Study Questions -- Chapter 6: Sample Preparation Techniques -- 6.1 Extraction of Organic Analytes from Liquid Samples -- 6.1.1 Liquid-Liquid Extraction -- 6.1.1.1 Successive Extractions -- 6.1.1.2 Instrumentation for LLE -- 6.1.1.3 Continuous LLE -- 6.1.2 Solid-Phase Extraction -- 6.1.2.1 The SPE Process -- 6.1.2.2 Advantages of SPE -- 6.1.3 Solid-Phase Microextraction -- 6.2 Extraction of Organic Analytes from Solid Samples -- 6.2.1 Soxhlet Extraction -- 6.2.2 Accelerated Solvent Extraction -- 6.2.3 Ultrasonic Extraction of Organics -- 6.2.4 Supercritical Fluid Extraction -- 6.2.4.1 Instrumentation -- 6.2.4.2 Choosing SFE Conditions -- 6.2.4.3 Advantages of SFE -- 6.3 Post-Extraction Procedures -- 6.3.1 Concentration of Sample Extracts -- 6.3.2 Sample Cleanup -- 6.4 Extraction of Metals from Sample Matrices -- 6.4.1 Acid Digestion of Samples for Determination of Metals -- 6.4.2 Extraction Procedures -- 6.4.3 Microwave Digestion -- 6.4.4 Ultrasonic Extraction -- 6.4.5 Organic Extraction of Metals -- 6.4.5.1 Formation of Metal Chelates. , 6.5 Speciation of Metals in Environmental Samples -- Study Questions -- Chapter 7: Chemical Methods -- 7.1 Types of Chemical Reactions -- 7.1.1 Precipitation -- 7.1.2 Complexation and Chelation Reactions -- 7.1.3 Oxidation/Reduction Reactions -- 7.1.4 Derivatization Reactions -- 7.1.4.1 Alkylation and Acylation -- 7.1.4.2 Sylilation -- 7.1.4.3 Diazotization -- 7.1.4.4 Selection of Derivatizing Reagent -- 7.2 Wet Methods -- 7.2.1 Titrations -- 7.2.2 Titration Calculations -- 7.2.3 Types of Titrations -- 7.3 Colorimetric Methods -- 7.3.1 Colorimetric Indicating Tubes for Air Pollutants -- Study Questions -- Suggested Reading -- Chapter 8: Electrochemical Methods -- 8.1 Potentiometric Measurements -- 8.1.1 pH Measurement -- 8.1.2 Other Specific Ion Electrodes -- 8.2 Determination of Metals by Voltammetry -- Study Questions -- Chapter 9: Radiochemical Methods -- 9.1 Units of Measurement -- 9.2 Instruments for Measuring Radioactivity -- 9.2.1 Gas: Flow Proportional Counters -- 9.2.2 Alpha Scintillation Counter -- 9.2.3 Liquid Scintillation Counters -- 9.2.4 Alpha Spectrometers -- 9.2.5 Gamma Spectrometers -- 9.3 Determination of Gross Alpha and Gross Beta Radioactivity -- 9.3.1 Evaporation Method -- 9.3.1.1 Gross Activity of the Sample -- 9.3.1.2 Activity of Dissolved and Suspended Matter -- 9.3.1.3 Activity of Semisolid Samples -- 9.3.2 Coprecipitation Method for Gross Alpha Activity -- 9.4 Measurement of Specific Radionuclides -- 9.4.1 Radium -- 9.4.1.1 Precipitation Method and Alpha Counting -- 9.4.1.2 Precipitation and Emanation Method to Measure Radium as Radon-222 -- 9.4.1.3 Sequential Precipitation Method -- 9.4.1.4 Measurement of Radium-224 by Gamma Spectroscopy -- 9.4.2 Radon -- 9.4.3 Uranium -- 9.4.3.1 Determination of Total Alpha Activity -- 9.4.3.2 Determination of Isotopic Content of Uranium Alpha Activity -- 9.4.4 Radioactive Strontium. , 9.4.5 Tritium.

Note: Intro -- AIVR 2022 Organization -- Preface -- Contents -- About the Editors -- Part I Invited Paper -- 1 Paraconsistency and Paracompleteness in AI: Review Paper -- 1.1 Introduction -- 1.1.1 Classical and Non-classical Logic -- 1.2 Paraconsistent and Paracomplete Logic -- 1.3 AI and Formal Systems -- 1.4 Paraconsistent Annotated Evidential Logic Eτ -- 1.5 Application in Robotics -- 1.5.1 Description of the Prototype -- 1.5.2 Development of the Paraconsistent Annotated Logic Algorithm -- 1.6 Multi-criteria Decision Analysis (MCDA) in Health Care -- 1.7 Conclusions -- References -- Part II Regular Papers -- 2 Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response -- 2.1 Introduction -- 2.2 Modeling and Simulation -- 2.2.1 Marine Oil Spill Response Process -- 2.2.2 DEVS and Multi-agent Modeling -- 2.3 Response Plan Evaluation -- 2.3.1 Response Plan Agent -- 2.3.2 Evaluation Indicators System -- 2.4 Instance Analysis -- 2.4.1 Simulation Scenario -- 2.4.2 Simulation-Based Evaluation for Decision Support -- 2.5 Conclusion -- References -- 3 Transferring Dense Object Detection Models To Event-Based Data -- 3.1 Introduction -- 3.1.1 Contributions and Outline -- 3.2 Dataset and Frame Representation -- 3.2.1 KITTI Vision Dataset -- 3.2.2 Optical Event Data and Histograms -- 3.3 Implementation -- 3.3.1 Sparseconvnet Extensions -- 3.3.2 Asynet Extensions -- 3.3.3 Dataloader -- 3.4 Error Analysis -- 3.4.1 Sparse YOLO Versus Dense YOLO -- 3.4.2 Sparse Versus Dense Convolutions -- 3.4.3 Event-Window Size -- 3.5 Runtime Analysis -- 3.5.1 Dense Versus Sparse -- 3.5.2 Batch Size -- 3.5.3 Synchronous Versus Asynchronous -- 3.5.4 Asynchronous Sequence Count -- 3.5.5 Theoretical Runtime -- 3.6 Conclusion -- References. , 4 Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques -- 4.1 Introduction -- 4.2 Related Research Work -- 4.2.1 Logistic Regression -- 4.2.2 Random Forest -- 4.2.3 SVM -- 4.2.4 KNN -- 4.2.5 Gradient-boosted Decision Trees -- 4.3 Dataset -- 4.4 Methodology -- 4.5 Results -- 4.6 Conclusion -- References -- 5 Elements of Continuous Reassessment and Uncertainty Self-awareness: A Narrow Implementation for Face and Facial Expression Recognition -- 5.1 Introduction -- 5.2 Proposed Solution -- 5.3 Data Set -- 5.4 Experiments -- 5.4.1 Trusted Accuracy Metrics -- 5.5 Results -- 5.6 Discussion, Conclusions, and Future Work -- References -- 6 Topic-Aware Networks for Answer Selection -- 6.1 Introduction -- 6.2 Related Works -- 6.2.1 Topic Embedding Generation -- 6.2.2 Answer Selection -- 6.3 Methodology -- 6.3.1 Topic Embedding -- 6.3.2 Topic-Aware Networks -- 6.3.3 Triplet Loss -- 6.4 Experiments -- 6.4.1 Dataset -- 6.4.2 Experiment Settings -- 6.4.3 Results and Discussion -- 6.5 Conclusion and Future Work -- References -- 7 Design and Implementation of Multi-scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform -- 7.1 Introduction -- 7.2 Technical Basis -- 7.2.1 Lighting Model -- 7.2.2 From Physical Phenomena to BRDF -- 7.2.3 Physical-based Environment Lighting -- 7.3 Conceive Preparation -- 7.3.1 Research on the Current Situation of UE4 Used for Developing This Work -- 7.3.2 Storyboard -- 7.3.3 Design Process -- 7.4 The Main Scene Building Part -- 7.4.1 The Idea of Building a Scene of the Tang Dynasty -- 7.4.2 Collider -- 7.4.3 Light Effect of Dusk -- 7.4.4 Particle Effects -- 7.5 Functional Design -- 7.5.1 Sequence Animation in Scene -- 7.5.2 Release Kongming Lanterns -- 7.5.3 Large Amounts of Kongming Lanterns Take off -- 7.6 Artwork Display and Rendering Resource Analysis. , 7.6.1 Project Framework Diagram and Interactive Display Screenshots -- 7.6.2 Project Performance Analysis -- 7.6.3 Project Innovation -- 7.7 Conclusion -- 8 Auxiliary Figure Presentation Associated with Sweating on a Viewer's Hand in Order to Reduce VR Sickness -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Experiment to Select Physiological Signal that Correlates with VR Sickness -- 8.3.1 Physiological Signals -- 8.3.2 Experiment Environment and Task -- 8.3.3 Result -- 8.3.4 Analyses and Discussions -- 8.4 Design of Auxiliary Figure Control System -- 8.5 Evaluation Experiment -- 8.5.1 Procedure and Task -- 8.5.2 Results -- 8.5.3 Discussions -- 8.6 Conclusions -- References -- 9 Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality Development Platform -- 9.1 Introduction -- 9.2 System Methodology -- 9.2.1 Demand Analysis -- 9.2.2 Analysis of Our Developing Platform -- 9.2.3 Development Processing -- 9.3 Analysis of Key Technologies -- 9.3.1 Model Construction and Import -- 9.3.2 Real Shading in Unreal Engine 4 -- 9.3.3 Making Interactive Experiences -- 9.4 Conclusion -- References -- 10 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Different VR Types -- 10.2.2 VR in Higher Education -- 10.2.3 VR Embedded Language Learning -- 10.3 Research Methods -- 10.3.1 Participants -- 10.3.2 Instruments -- 10.3.3 Procedures -- 10.3.4 Data Analysis -- 10.4 Results -- 10.4.1 Results of Two Interview Questions -- 10.5 Discussion -- 10.6 Conclusions -- References -- 11 Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Breast Ultrasound Segmentation Model (Med-Net) -- 11.3.1 Encoder Architecture -- 11.3.2 Attention Module. , 11.3.3 Decoder Architecture -- 11.3.4 Implementation Details -- 11.3.5 Dataset -- 11.4 Discussion -- 11.5 Conclusion -- References -- 12 Auxiliary Squat Training Method Based on Object Tracking -- 12.1 Introduction -- 12.2 Material and Methods -- 12.2.1 The Basic Force Arm of Deep Squat -- 12.2.2 Object Tracking -- 12.2.3 Action Analysis -- 12.3 Results -- 12.3.1 Sagittal Plane Motion Analysis -- 12.3.2 Coronal Plane Motion Analysis -- 12.4 Discussion -- 12.5 Conclusion -- References -- 13 Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering -- 13.1 Introduction -- 13.2 Aviation Emergency Rescue System Architecture Analysis -- 13.2.1 Disaster Prevention and Early Warning Stage -- 13.2.2 Disaster Preparation Stage -- 13.2.3 Emergency Response Stage -- 13.2.4 Recovery and Reconstruction Stage -- 13.3 Aviation Emergency Rescue System Visualization Model -- 13.3.1 Operational Viewpoint DoDAF-Described Models -- 13.3.2 Capability Viewpoint DoDAF-Described Models -- 13.4 Conclusion -- References -- 14 An AI-Based System Offering Automatic DR-Enhanced AR for Indoor Scenes -- 14.1 Introduction -- 14.2 System Overview -- 14.2.1 Object Segmentation Component -- 14.2.2 Layout Estimation Component -- 14.2.3 Inpainting Component -- 14.2.4 Super-Resolution Component -- 14.2.5 Implementation and Orchestration -- 14.3 Experimental Setup Methodology -- 14.3.1 Component Ablation -- 14.3.2 User Study -- 14.4 Results and Discussion -- 14.4.1 Objective Evaluation -- 14.4.2 Subjective Evaluation -- 14.5 Conclusion -- References -- 15 Extending Mirror Therapy into Mixed Reality-Design and Implementation of the Application PhantomAR to Alleviate Phantom Limb Pain in Upper Limb Amputees -- 15.1 Introduction -- 15.2 Methods and Materials -- 15.2.1 Study Setup and Protocol -- 15.3 Gameplay and Technical Implementation. , 15.3.1 Game Design and Interaction Scenes -- 15.3.2 Spatial Mapping -- 15.3.3 Virtual Arm and Non-Anthropomorphic Feedback -- 15.3.4 Virtual Arm Movement -- 15.3.5 Virtual Hand Movement -- 15.3.6 Calibration -- 15.3.7 Interaction with Virtual Environment -- 15.3.8 Remote Connection for Therapeutic Intervention -- 15.4 Results -- 15.5 Discussion -- 15.6 Conclusion -- References -- 16 An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field Based on CiteSpace -- 16.1 Questions Posed -- 16.2 Text Mining and Visual Analysis of Research Trends in Information Technology in the Field of Accounting in China -- 16.2.1 Research Tools -- 16.2.2 Source of Data -- 16.2.3 Text Mining and Visual Analysis of Related Research Based on Classification -- 16.3 A Review of Major Issues Discovered by Research and Analysis Regarding the Application of Information Technology in Accounting -- 16.3.1 Few Studies Have Been Conducted on the Application of Information Technology to Accounting in SMEs -- 16.3.2 The Number and Quality of Information-Based Accounting Education Research is Low and Declining -- 16.4 Conclusions and Recommendations of the Research on the Application of Information Technology in Accounting -- 16.4.1 Conclusions of the Research -- 16.4.2 Research Recommendations for Advancing the Application of Information Technology in Accounting -- References -- 17 Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service -- 17.1 Introduction -- 17.2 Framework of Augmented Reality System -- 17.2.1 System Framework -- 17.2.2 Service-Oriented Architecture -- 17.2.3 Multi-Agent Architecture -- 17.3 Construction of Aviation Emergency Rescue Augmented System -- 17.3.1 Construction of System -- 17.3.2 Services Development -- 17.3.3 Entity Development. , 17.4 Simulation of Aviation Emergency Rescue.

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: Title Page -- Preface -- Contents -- Enhanced Mobile Ad hoc Routing Protocol Using Cross Layer Design in Wireless Sensor Networks -- Introduction -- Theory -- IEEE 802.15.4 Standard -- Ad hoc On-Demand Distance Vector (AODV) Protocol -- Cross Layer Design -- Propose Energy Weigh - AODV Protocol -- The Simulation -- Result and Performance Analysis -- Conclusion -- References -- Decision Support in Supply Chain Management for Disaster Relief in Somalia -- Introduction -- The Importance of Disaster Management -- Somalia as a Case Study -- Literature Review -- Problem Variants -- Existing Solutions -- Preemptive Multiobjective Programming -- Research Methodology -- Preemptive Optimization -- Data Gathering -- Results and Findings -- Conclusion and Future Work -- References -- Challenges in Cloud Environment -- System Quality Attributes -- Portability -- Recoverability -- Maintainability -- Transparency and Control -- Security -- OS Support -- RHEL Migration on AWS Cloud - An Experience -- Amazon as-is Architecture -- Migration from DevPay to Hourly on Demand -- Infrastructure as Code -- Recommendations -- Manageability -- Configurability -- Maintainability -- Portability -- Conclusion -- Challenges on Amazon Cloud in Load Balancing, Performance Testing and Upgrading -- Hosting a Web Application on Cloud -- Issues with Traditional Infrastructure -- Typical Web Application Topology -- Web Application on AWS -- Components Used -- Learning and Recommendations -- Load Balancers -- Auto Discovery of EC2 Nodes -- Performance Testing Environment -- Application Setup -- Load Generation Strategy -- Measurable Parameters -- Test Results -- Observations -- Recommendation -- Learning -- Conclusion -- A Rule-Based Approach for Effective Resource Provisioning in Hybrid Cloud Environment -- Introduction -- Objectives -- Resource Manager -- Related Work. , Rule Based Resource Manager -- Experimental Evaluation -- Conclusion -- References -- Browser Based IDE to Code in the Cloud -- Introduction -- Cloud Computing -- Integrated Development Environment -- Browser Based Integrated Development Environment -- Real Time Collaboration -- Forums -- Technical Blogs -- Existing Browser Based Coding Environment -- Cloud9 IDE -- CodeRun Studio [7] -- Eclipse Orion [8] -- Ideone -- eXo Cloud IDE -- Proposed System -- Design -- Real Time Collaboration -- Integrated Forum -- Technical Blogs -- Conclusion -- Zero Knowledge Password Authentication Protocol -- Introduction -- Motivation -- Contribution -- Organization of Paper -- Notations and Definitions -- Notations -- Definitions -- Relevance to Prior Work -- Cryptographic Primitives -- The Proposed Security Protocol : Zero Knowledge Password Authentication Protocol (ZK-PAP) -- ZK-PAP with PKE -- Conclusion -- References -- Author Index.

Note: Intro -- Preface -- Editorial -- Contents -- About the Editors -- 1 Introduction to Blockchain Evolution, Architecture and Application with Use Cases -- 1.1 Layman's Introduction to Blockchain -- 1.2 The Blockchain Technology -- 1.3 Types of Blockchain -- 1.4 Evolution of Blockchain -- 1.4.1 Blockchain 1.0: Programmable Money and Cryptocurrencies -- 1.4.2 Blockchain 2.0: Smart Contracts -- 1.4.3 Blockchain 3.0: Decentralised Web -- 1.5 Ledger System for Blockchain -- 1.5.1 Centralized Ledger Systems -- 1.5.2 Distributed Ledger Systems -- 1.6 Layers of Blockchain -- 1.6.1 Hardware or Infrastructure Layer -- 1.6.2 Data Layer -- 1.6.3 Network Layer -- 1.6.4 Consensus Layer -- 1.6.5 Application Layer -- 1.7 Use Cases and Applications of Blockchain -- 1.8 Development Tools for Blockchain -- 1.9 Summary -- References -- 2 Blockchain: A Technology in Search of Legitimacy -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Research Design and Methodology -- 2.4 Results -- 2.5 Discussion and Conclusion -- References -- 3 Using Blockchain in Intermittently Connected Network Environments -- 3.1 Introduction -- 3.2 Overview of Delay Tolerant Networks -- 3.2.1 Features -- 3.2.2 Architecture -- 3.2.3 Routing -- 3.2.4 Applications -- 3.3 Rudimentary Elements of Blockchain -- 3.3.1 Blocks -- 3.3.2 Transaction -- 3.3.3 Mining -- 3.3.4 Ethereum and Smart Contracts -- 3.4 Integration of Blockchain Technology with DTNs -- 3.4.1 System Components -- 3.4.2 Generation and Transmission of Shelter Needs -- 3.4.3 Need Validation and Creation of Local Blockchain -- 3.4.4 Block Conversion Through API -- 3.4.5 Mining Blocks and Deploying to Global Blockchain -- 3.5 Open Research Areas -- 3.6 Conclusion -- References -- 4 Slaying the Crypto Dragons: Towards a CryptoSure Trust Model for Crypto-economics -- 4.1 Introduction: Blockchain and the Right to Be Forgotten. , 4.2 The New 'Crypto-economy'-A Fraudsters' Playground? -- 4.3 Blockchain: Sceptical ICT Professionalism and Legal Due Diligence -- 4.4 The Need for Trusted Third Parties and for Probative Electronic Evidence -- 4.5 Towards a CryptoSure Trust Model for Crypto-economics -- 4.6 Conclusions: Blockchain Versus Trust-The Expert Issues in Disputes Over Crypto Assets -- 5 Decentralized Governance for Smart Contract Platform Enabling Mobile Lite Wallets Using a Proof-of-Stake Consensus Algorithm -- 5.1 Introduction -- 5.2 Preliminaries for Qtum Decentralized Blockchain Governance -- 5.3 Qtum Basic Requirement Sets for Decentralized Governance -- 5.3.1 UTXO Versus Account Model -- 5.3.2 Consensus Management -- 5.3.3 Mutualized Proof-of-Stake -- 5.3.4 AAL and EVM Integration -- 5.4 Scalability Extension of the Virtual Machine Through Decentralized Governance -- 5.4.1 Qtum Transaction Processing Using Virtual Machine -- 5.4.2 Decentralised Governance Protocol -- 5.5 Qtum Account Abstraction Layer -- 5.6 Discussion of the Technical Governance Realization -- 5.6.1 Hard fork Update -- 5.6.2 Qtum X86 Virtual Machine -- 5.7 Conclusions -- References -- 6 Blockchain Technology: Security and Privacy Issues -- 6.1 Introduction -- 6.2 Distributed Ledger Technology -- 6.2.1 Blockchain Benefits -- 6.2.2 How Blockchain Works -- 6.2.3 Consensus Algorithms -- 6.3 Blockchain Pros and Cons -- 6.4 Applications of Blockchain -- 6.4.1 Blockchain 1.0 -- 6.4.2 Blockchain 2.0 -- 6.5 Blockchain Security Issues -- 6.5.1 Cryptojacking Attacks -- 6.5.2 51% Attack -- 6.5.3 Smart Contract Attacks -- 6.6 Discussion -- 6.6.1 Voting and Blockchain -- 6.6.2 Energy and Blockchain -- 6.6.3 Web 3.0 and Blockchain -- 6.7 Conclusions -- References -- 7 Personal Data Protection in Blockchain with Zero-Knowledge Proof -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Background About Blockchain. , 7.4 Personal Data Protection and Blockchain -- 7.5 Zero-Knowledge Proof on Blockchain -- 7.5.1 Zerocoin Protocol -- 7.5.2 Zerocash Protocol -- 7.5.3 Zcash and Zk-SNARK -- 7.6 Conclusion -- References -- 8 Design and Verification of Privacy Patterns for Business Process Models -- 8.1 Introduction -- 8.2 A Privacy-Aware System Using Blockchain -- 8.2.1 Scenario: A Cloud-Based Order System -- 8.3 GDPR Verification -- 8.3.1 Design Time Verification -- 8.3.2 Runtime Verification -- 8.4 Experimental Results -- 8.4.1 Evaluation of Design Time Verification -- 8.4.2 Evaluation of Runtime Verification -- 8.5 Conclusion -- References -- 9 Blockchain Technology in Energy Field: Opportunities and Challenges -- 9.1 Introduction -- 9.2 Blockchain Solutions for Energy Internet -- 9.3 Application Scenarios of Blockchain Technology in the Energy Industry -- 9.4 Challenges -- 9.5 Conclusions -- References -- 10 BlockChainTechnology for Energy Transition -- 10.1 Introduction -- 10.2 What Is the "Energy Transition"? -- 10.2.1 Business Models in the Energy Sector -- 10.2.2 New Business Models for Energy Transition -- 10.3 BlockChain and Smart Contracts in the Energy Sector -- 10.3.1 Types of Applications of BlockChain and Smart Contracts in the Energy Sector -- 10.3.2 New Business Models Enabled by BlockChain in the Energy Market -- 10.3.3 Risks and Issues Related to BlockChain and Smart Contracts -- 10.4 The Framework -- 10.4.1 The Business Model Canvas -- 10.4.2 The Use Case Selection -- 10.4.3 Impact Analysis of the Two Selected Use Cases -- 10.4.4 The Business Models for the Use Cases -- 10.4.5 Microgrid Business Model (Elaborated After the Workshop) -- 10.4.6 Discussion of the Results -- 10.5 Current Trends and Future Scenarios -- 10.5.1 P2P Distributed Energy Trading for Residential Microgrids. , 10.5.2 Bridging Industrial and Residential Microgrids Through Electric Vehicles -- 10.6 Conclusions -- References -- 11 The Feasibility and Significance of Employing Blockchain-Based Identity Solutions in Health Care -- 11.1 Introduction -- 11.2 A Brief History of Identities in the Digital Age -- 11.2.1 Fully Centralized Identity Management -- 11.2.2 Federated Identity Management -- 11.2.3 User-Centric Identity Management -- 11.3 The Main Ideas Behind Decentralized Identity Management -- 11.3.1 Decentralized Identifier Based on Blockchain -- 11.3.2 Zero-Knowledge Proof -- 11.3.3 Decentralized Blockchains and the Internet -- 11.4 The Technical Architecture of Decentralized Identity Management -- 11.4.1 Architecture Overview -- 11.4.2 Blockchain-Based DID Service -- 11.4.3 Standardization of DIDs -- 11.4.4 Examples of DID Frameworks -- 11.5 The Potential of Applying Blockchain-Based DID Solutions in Health Care -- 11.5.1 Addressing the Patient Mismatching Problem -- 11.5.2 Facilitating Patient Recruitment in Clinical Research Using DID -- 11.5.3 The Safer Use of Medical Devices -- 11.5.4 Limitations Facing Current Blockchain-Based DID Solutions -- 11.6 Conclusion -- References -- 12 Toward eHealth with Blockchain: Success Factors for Crowdfunding with ICOs -- 12.1 Introduction -- 12.2 Theoretical Background -- 12.2.1 eHealth -- 12.2.2 Initial Coin Offerings (ICOs) and Blockchain -- 12.2.3 Signaling Theory -- 12.3 Research Method -- 12.3.1 Related Work -- 12.4 Research Hypotheses -- 12.4.1 Data and Variables -- 12.5 Results and Discussion -- 12.5.1 Descriptive Statistics of the ICO Data -- 12.5.2 Multivariate Analysis of the Factors Influencing the Success -- 12.6 Discussion -- 12.7 Conclusion -- References -- 13 Blockchain Track and Trace System (BTTS) for Pharmaceutical Supply Chain -- 13.1 Introduction -- 13.2 Related Works. , 13.3 Overview of Bitcoin, Blockchain Platforms and Smart Contracts -- 13.4 The Proposal Model -- 13.4.1 Structure of Blockchain Track and Trace System (BTTS) -- 13.4.2 The Proposed Smart Contracts -- 13.5 Conclusion and Future Works -- References.

Note: Intro -- Foreword -- References -- Preface -- Contents of the Volume -- References (those listed in Prof. Ashok Sahni's bibliography below are not included here) -- Bibliography of Ashok Sahni -- Contents -- Contributors -- 1 First Ornithischian and Theropod Dinosaur Teeth from the Middle Jurassic Kota Formation of India: Paleobiogeographic Relationships -- Abstract -- Introduction -- Geological Setting -- Age -- Methods and Materials -- Locality Information -- Fossils Collected -- Institutional Abbreviations -- Systematic Paleontology -- Discussion -- Biogeographic Links of the Kota Vertebrate Fauna -- Conclusions -- Acknowledgements -- References -- 2 Upper Gondwana (Jurassic to Early Cretaceous) Palynoflora of India: Its Correlation with Other Gondwana Continents and Phytogeographical Implications -- Abstract -- Introduction -- Geological Setting and Lithostratigraphy -- Jurassic -- Early Cretaceous -- Palynosequencing of the Jurassic and Early Cretaceous Deposits -- Jurassic -- Inter-basinal Correlation -- Jurassic-Cretaceous Boundary -- Early Cretaceous -- Inter-basinal Correlation -- Tectonics Versus Eustasy -- Intra-Gondwanan Correlation -- Paleovegetation and Paleoenvironment -- Phytogeography -- Conclusions -- Acknowledgements -- References -- 3 A Third, Remarkably Small, Tribosphenic Mammal from the Mesozoic of Australia -- Abstract -- Introduction -- Methods -- Type Locality -- Type Horizon, Rock Unit and Age -- Institutional Abbreviation -- Systematic Paleontology -- Discussion and Conclusions -- Acknowledgements -- References -- 4 Evidence for a Remarkably Large Toothed-Monotreme from the Early Cretaceous of Lightning Ridge, NSW, Australia -- Abstract -- Introduction -- Institutional Abbreviations -- Systematic Paleontology -- Conclusions -- Acknowledgements -- References. , 5 Role of Plate Tectonics and Global Climate Change in the Evolution of Angiosperms -- Abstract -- Introduction -- Palynological Records -- Pre-cretaceous Records -- Early Cretaceous Records -- Late Cretaceous Records -- Discussion -- Evolution of Angiosperm -- Angiosperm Evolution versus Tectonics -- Paleobotanical Records of Angiosperm Evolution -- Future Prospects -- Acknowledgements -- References -- 6 Anuran Lissamphibian and Squamate Reptiles from the Upper Cretaceous (Maastrichtian) Deccan Intertrappean Sites in Central India, with a Review of Lissamphibian and Squamate Diversity in the Northward Drifting Indian Plate -- Abstract -- Introduction -- Repository -- Systematic Paleontology -- Taxonomic Status of Amphibians and Squamates from the Maastrichtian of India: An Overview -- Amphibians -- Squamates -- Comparison with the Anuran and Squamate Diversities in Other Continents -- Conclusions -- Acknowledgements -- References -- 7 Chelonian Pelomedusoides Remains from the Late Cretaceous of Upparhatti (Southwestern India): Systematics and Paleobiogeographical Implications -- Abstract -- Introduction -- Geology -- Turtle Yielding Cretaceous Localities of India -- Southwestern India -- Upparhatti, Belgaum District, Karnataka State (Fig. 7.1G) -- Western India -- Worli Hill (Fig. 7.1C) -- Amboli (Fig. 7.1B) -- Lakshmipur, Kachchh, Gujarat State (Fig. 7.1A) -- Central India -- Kisalpuri, Dindori District, Madhya Pradesh State (Fig. 7.1D) -- Pisdura Area, Chandrapur District, Maharashtra State (Fig. 7.1F). -- Dongargaon, Chandrapur District, Maharashtra State (Fig. 7.1F) -- Southeastern India -- Kunnam Locality, Perambalur District., Tamil Nadu State (Fig. 7.1H) -- Kallamedu Locality -- Material and Methods -- Abbreviations -- Systematic Paleontology -- Discussion -- Conclusion -- Taxonomic Implications -- Paleobiogeographical Implications. , Acknowledgements -- Appendix: Other Horizons of the Indian Subcontinent (Outside India) from Which a Pleurodiran was Documented -- References -- 8 The Age of Dinosaurs in the Land of Gonds -- Abstract -- Introduction -- Dinosaurs in Gondwana and Post-Gondwana Formations -- Dawn: The Beginnings of Dinosaurs in the Late Triassic -- Discovery of Indian Dinosaurs -- Lower Maleri Formation (Late Carnian-Early Norian) -- Upper Maleri Formation (Late Norian) -- Lower Dharmaram Formation (Rhaetian) -- End-Triassic Mass Extinction Event -- Day: Triumph of the Dinosaurs in the Jurassic -- Upper Dharmaram Formation (Early Jurassic, Hettangian) -- Lower Kota Formation (Sinemurian-Toarcian) -- Upper Kota Formation -- Upper Jurassic Bagra Formation -- Origin and Early Evolution of Sauropodomorpha -- Evening: Dinosaurs in the Drifting Indian Plate During the Cretaceous -- Nimar Sandstone (Cenomanian-Turonian) -- Lameta Formation (Maastrichtian) -- A Passage to India: Discovery of Cretaceous Dinosaurs -- The Lameta Dinosaurs -- Titanosaurs -- Abelisaurs -- Ankylosaurs -- Kallamedu Formation -- Dinosaur Eggs and Babies -- Dinosaur Coprolites and Food Preference -- Night: Death of the Dinosaurs -- Asteroid Impacts -- Chicxulub Crater, Yucatan Peninsula, Mexico -- Shiva Crater, Mumbai Offshore Basin, India -- Killing Mechanism -- Deccan Volcanism -- Impact-Induced Volcanism -- Aftermath of the K-Pg Extinction -- Acknowledgements -- References -- 9 Leaving Gondwana: The Changing Position of the Indian Subcontinent in the Global Faunal Network -- Abstract -- Introduction -- Methods -- Faunal Similarity Networks -- Global Patterns -- Data Collection -- Results and Discussion -- The Late Cretaceous of the Indian Subcontinent -- The Paleocene of the Indian Subcontinent -- The Eocene of the Indian Subcontinent -- Global Faunal Network of the Cretaceous and Paleogene. , Density, Centrality, and Modularity -- A Theoretical Paleocene Fauna from the Indian Subcontinent -- Conclusions -- Acknowledgments -- Appendix 1: Data and Bins -- Appendix 2: Faunal Network Function -- References -- 10 Island Africa and Vertebrate Evolution: A Review of Data and Working Hypotheses -- Abstract -- Introduction -- The Native African Fauna (Fig. 10.2) -- The Fauna of the Island Africa -- The Fate of the Native Fauna (Fig. 10.2) -- The Island Africa: an Underpopulated Biotic Province? -- Colonization of Island Africa by Newcomers (Figs. 10.4, 10.5) -- Africa as a Secondary Cradle -- The End of Isolation of Africa -- Conclusions -- Acknowledgements -- References -- 11 Contrasting Biomarker Signatures of Cretaceous and Early Paleogene Coal-Bearing Sediments During the Northward Flight of India -- Abstract -- Introduction -- Material and Methods -- Sampling -- Analytical Method -- Results -- Terpenoid Composition of Early Cretaceous Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Terpenoid Composition of Eocene Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Discussion -- Inferences from Early Cretaceous Terpenoids -- Inferences from Eocene Terpenoids -- Implications for Early Cretaceous and Eocene Vegetation of India -- Conclusions -- Acknowledgements -- References -- 12 New Specimens of Frugivastodon (Mammalia: Apatotheria) from the Early Eocene of India Confirm Its Apatemyid Status and Elucidate Dispersal of Apatemyidae -- Abstract -- Introduction -- Material and Methods -- Abbreviations -- Institutional Abbreviations -- Measurements -- Systematic Paleontology -- Phylogenetic Analysis -- Objectives and Methodology -- Results -- Discussion -- Discussion -- Relationships of Frugivastodon -- Geographic Origin of Frugivastodon and the Dispersal of Apatemyids -- Conclusions -- Acknowledgements -- References. , 13 Size Variation Amongst the Non-volant Mammals from the Early Eocene Cambay Shale Deposits of Western India: Paleobiogeographic implications -- Abstract -- Introduction -- Methodology -- Timing of India-Eurasia Collision -- A Brief Historical Background of Biogeographically Important Vertebrate Fossil Record (Including Mammals) from the Cretaceous-Paleogene (K-Pg) Interval of India -- Age of the Cambay Shale Mammals -- Size Variation Amongst the Non-volant Mammalian Groups Known from the Cambay Shale -- Evolutionary Relationship(s) of the Large-Sized Component (Perissodactyls) from the Cambay Shale -- Discussion -- Caveats -- Acknowledgements -- Appendix -- References -- 14 Indohyus, Endemic Radiation of Raoellid Artiodactyls in the Eocene of India and Pakistan -- Abstract -- Introduction -- Materials and Methods -- Acronyms -- Systematic Paleontology -- Discussion -- References -- 15 The Murine Cradle -- Abstract -- Introduction -- Previous Work -- Materials and Methods -- Systematics -- Great Morphological Variation of Early Murines -- Early Murine Evolution in the Semi-isolated Cradle of the Indian Subcontinent -- Interpretation -- Acknowledgments -- References -- 16 New Data on the Siwalik Murines, Rhizomyines and Ctenodactylines (Rodentia) from the Indian Subcontinent -- Abstract -- Introduction -- Previous Work -- Muridae -- Spalacidae -- Ctenodactylidae -- Material and Methods -- Systematics -- Phylogenetic Analyses -- Characters -- Spalacids -- Characters -- Paleobiogeography -- Conclusions -- Acknowledgements -- References -- 17 Dispersal of Miocene Hominoids (and Pliopithecoids) from Africa to Eurasia in Light of Changing Tectonics and Climate -- Abstract -- Introduction -- Hominoid Systematics -- The First Eurasian Apes: Early Catarrhine Dispersals Out of Africa in the Miocene. , How Many Transcontinental Ape Dispersal Events Occurred and Between Which Continents? Biogeographic Links to Phylogeny, Tectonics, and Climate.

Note: Intro -- Preface -- Contents -- Contributors -- Members of Review Board -- The Nature of Nature: Why Nature-Inspired Algorithms Work -- 1 Introduction: How Nature Works -- 2 The Nature of Nature -- 2.1 Fitness Landscape -- 2.2 Graphs and Phase Changes -- 3 Nature-Inspired Algorithms -- 3.1 Genetic Algorithm -- 3.2 Ant Colony Optimization -- 3.3 Simulated Annealing -- 3.4 Convergence -- 4 Dual-Phase Evolution -- 4.1 Theory -- 4.2 GA -- 4.3 Ant Colony Optimization -- 4.4 Simulated Annealing -- 5 Evolutionary Dynamics -- 5.1 Markov Chain Models -- 5.2 The Replicator Equation -- 6 Generalized Local Search Machines -- 6.1 The Model -- 6.2 SA -- 6.3 GA -- 6.4 ACO -- 6.5 Discussion -- 7 Conclusion -- References -- Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environments -- 1 Introduction -- 2 Improved Bat Algorithm -- 3 IBA for Multimodal Problems -- 3.1 Parameter Settings -- 3.2 Test Functions -- 3.3 Numerical Results -- 4 Performance Comparison of IBA with Other Algorithms -- 5 IBA Performance in AWGN -- 5.1 Numerical Results -- 6 Conclusions -- References -- Multi-objective Ant Colony Optimisation in Wireless Sensor Networks -- 1 Introduction -- 2 Multi-objective Combinatorial Optimisation Problems -- 2.1 Combinatorial Optimisation Problems -- 2.2 Multi-objective Combinatorial Optimisation Problems -- 2.3 Pareto Optimality -- 2.4 Decision-Making -- 2.5 Solving Combinatorial Optimisation Problems -- 3 Multi-objective Ant Colony Optimisation -- 3.1 Origins -- 3.2 Multi-objective Ant Colony Optimisation -- 4 Applications of MOACO Algorithms in WSNs -- 5 Conclusion -- References -- Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence -- 1 Introduction -- 2 Artificial Sports Trainer -- 3 Generating the Training Plans -- 3.1 Preprocessing -- 3.2 Optimization Process. , 4 Experiments -- 5 Conclusion with Future Ideas -- References -- Limiting Distribution and Mixing Time for Genetic Algorithms -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Search and Markov Chains -- 2.2 Boltzmann Distribution and Simulated Annealing -- 3 Expected Hitting Time as a Means of Comparison -- 3.1 ``No Free Lunch'' Considerations -- 4 The Holland Genetic Algorithm -- 5 A Simple Genetic Algorithm -- 6 Shuffle-Bit GA -- 6.1 Results -- 6.2 Estimate of Expected Hitting Time -- 7 Discussion and Future Work -- References -- Permutation Problems, Genetic Algorithms, and Dynamic Representations -- 1 Introduction -- 2 Problem Descriptions -- 2.1 Bin Packing Problem -- 2.2 Graph Colouring Problem -- 2.3 Travelling Salesman Problem -- 3 Previous Work on Small Travelling Salesman Problem Instances -- 4 Algorithms -- 4.1 2-Opt -- 4.2 Lin--Kernighan -- 4.3 Genetic Algorithm Variations -- 4.4 Representation -- 5 Experimental Design -- 5.1 Bin Packing Problem -- 5.2 Graph Colouring Problem -- 5.3 Travelling Salesman Problem -- 6 Results and Discussion -- 6.1 Bin Packing Problem -- 6.2 Graph Colouring Problem -- 6.3 Travelling Salesman Problem -- 7 Conclusions -- References -- Hybridization of the Flower Pollination Algorithm---A Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults -- 1 Introduction -- 2 Background -- 2.1 Optimization Problems -- 2.2 Meta-Heuristic Algorithms -- 3 Literature Review -- 4 Problem Definition -- 4.1 Search Space and Solution Representation -- 4.2 Fitness Function -- 4.3 Constraints -- 5 Hybridizing the Flower Pollination Algorithm for Generating Personalized Menu Recommendations -- 5.1 Hybrid Flower Pollination-Based Model -- 5.2 Flower Pollination-Based Algorithms for Generating Personalized Menu Recommendations. , 5.3 The Iterative Stage of the Hybrid Flower Pollination-Based Algorithm for Generating Healthy Menu Recommendations -- 6 Performance Evaluation -- 6.1 Experimental Prototype -- 6.2 Test Scenarios -- 6.3 Setting the Optimal Values of the Algorithms' Adjustable Parameters -- 6.4 Comparison Between the Classical and Hybrid Flower Pollination-Based Algorithms -- 7 Conclusions -- References -- Nature-inspired Algorithm-based Optimization for Beamforming of Linear Antenna Array System -- 1 Introduction -- 2 Problem Formulation -- 3 Flower Pollination Algorithm [55] -- 3.1 Global Pollination: -- 3.2 Local Pollination: -- 3.3 Pseudo-code for FPA: -- 4 Simulation Results -- 4.1 Optimization of Hyper-Beam by Using FPA -- 4.2 Comparisons of Accuracies Based on t test -- 5 Convergence Characteristics of Different Algorithms -- 6 Conclusion -- 7 Future Research Topics -- References -- Multi-Agent Optimization of Resource-Constrained Project Scheduling Problem Using Nature-Inspired Computing -- 1 Introduction -- 1.1 Multi-agent System -- 1.2 Scheduling -- 1.3 Nature-Inspired Computing -- 2 Resource-Constrained Project Scheduling Problem -- 3 Various Nature-Inspired Computation Techniques for RCPSP -- 3.1 Particle Swarm Optimization (PSO) -- 3.2 Particle Swarm Optimization (PSO) for RCPSP -- 3.3 Ant Colony Optimization (ACO) -- 3.4 Ant Colony Optimization (ACO) for RCPSP -- 3.5 Shuffled Frog-Leaping Algorithm (SFLA) -- 3.6 Shuffled Frog-Leaping Algorithm (SFLA) for RCPSP -- 3.7 Multi-objective Invasive Weed Optimization -- 3.8 Multi-objective Invasive Weed Optimization for MRCPSP -- 3.9 Discrete Flower Pollination -- 3.10 Discrete Flower Pollination for RCPSP -- 3.11 Discrete Cuckoo Search -- 3.12 Discrete Cuckoo Search for RCPSP -- 3.13 Multi-agent Optimization Algorithm (MAOA) -- 4 Proposed Approach -- 4.1 RCPSP for Retail Industry. , 4.2 Cooperative Hunting Behaviour of Lion Pride -- 5 A Lion Pride-Inspired Multi-Agent System-Based Approach for RCPSP -- 6 Conclusion -- References -- Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology -- 1 Introduction -- 2 Learning Classifier Systems: Creating Rules that Describe Systems -- 2.1 Basic Components -- 2.2 Michigan- and Pittsburgh-style LCS -- 3 Examples of LCS -- 3.1 Minimal Classifier Systems -- 3.2 Zeroth-level Classifier Systems -- 3.3 Extended Classifier Systems -- 4 Synthetic Biology: Designing Biological Systems -- 4.1 The Synthetic Biology Design Cycle -- 4.2 Basic Biological Parts -- 4.3 DNA Construction -- 4.4 Future Applications -- 5 Gene Expression Analysis with LCS -- 6 Optimization of Artificial Operon Structure -- 7 Optimization of Artificial Operon Construction by Machine Learning -- 7.1 Introduction -- 7.2 Artificial Operon Model -- 7.3 Experimental Framework -- 7.4 Results -- 7.5 Conclusion -- 8 Summary -- References -- Ant Colony Optimization for Semantic Searching of Distributed Dynamic Multiclass Resources -- 1 Introduction -- 2 P2p Search Strategies -- 3 Nature-Inspired Ant Colony Optimization -- 4 Nature-Inspired Strategies in Dynamic Networks -- 4.1 Network Dynamism Inefficiency -- 4.2 Solution Framework -- 4.3 Experimental Evaluation -- 5 Nature-Inspired Strategies of Semantic Nature -- 5.1 Semantic Query Inefficiency -- 5.2 Solution Framework -- 5.3 Experimental Evaluation -- 6 Conclusions and Future Developments -- References -- Adaptive Virtual Topology Control Based on Attractor Selection -- 1 Introduction -- 2 Related Work -- 3 Attractor Selection -- 3.1 Concept of Attractor Selection -- 3.2 Cell Model -- 3.3 Mathematical Model of Attractor Selection -- 4 Virtual Topology Control Based on Attractor Selection -- 4.1 Virtual Topology Control. , 4.2 Overview of Virtual Topology Control Based on Attractor Selection -- 4.3 Dynamics of Virtual Topology Control -- 4.4 Attractor Structure -- 4.5 Dynamic Reconfiguration of Attractor Structure -- 5 Performance Evaluation -- 5.1 Simulation Conditions -- 5.2 Dynamics of Virtual Topology Control Based on Attractor Selection -- 5.3 Adaptability to Node Failures -- 5.4 Effects of Noise Strength -- 5.5 Effects of Activity -- 5.6 Effects of Reconfiguration Methods of Attractor Structure -- 6 Conclusion -- References -- CBO-Based TDR Approach for Wiring Network Diagnosis -- 1 Introduction -- 2 The Proposed TDR-CBO-Based Approach -- 2.1 Problem Formulation -- 2.2 The Forward Model -- 2.3 Colliding Bodies Optimization (CBO) -- 3 Applications and Results -- 3.1 The Y-Shaped Wiring Network -- 3.2 The YY-shaped Wiring Network -- 4 Conclusion -- References -- Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation -- 1 Natural Geometrical Inspired Operators -- 2 Mathematical Morphology -- 2.1 Morphological Filters -- 3 Morphological Operators and Set Theory -- 3.1 Sets and Corresponding Operators -- 3.2 Basic Properties for Morphological Operators -- 3.3 Set Dilation and Erosion -- 3.4 A Geometrical Interpretation of Dilation and Erosion Process -- 3.5 Direct Effect of Edges and Borders on the Erosion and Dilation -- 3.6 Closing and Opening -- 3.7 A Historical Review to Definitions and Notations -- 4 Practical Interpretation of Binary Opening and Closing -- 5 Morphological Operators in Grayscale Domain -- 5.1 Basic Morphological Operators in Multivalued Function Domain -- 5.2 Dilation and Erosion of Multivalued Functions -- 5.3 Two Forms of Presentation for Dilation and Erosion Formula -- 6 Opening and Closing of Multivalued Functions. , 7 Interpretation and Intuitive Understanding of Morphological Filters in Multivalued Function Domain.