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 -- 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.