Note: Intro -- Committee Members -- Preface -- Contents -- About the Editors -- IOT, Big Data and Cloud Computing -- Big Data: A Boon to Fight Against Cancer Using Map Reduce Framework -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 MapReduce Architecture -- 4 Conclusion -- References -- Security Attacks and Its Countermeasures in RPL -- 1 Introduction -- 2 Related Work -- 3 About RPL -- 3.1 Control Messages in RPL -- 3.2 Traffic and Modes of Operation in RPL -- 4 Attacks in RPL -- 4.1 Attacks Against Resources -- 4.2 Attacks Against Topology -- 4.3 Attacks Against Traffic -- 5 Analysis -- 6 Conclusion and Future Scope -- References -- An Optimal Policy with Parabolic Demand Carry Forwarded with Three-Parameter Weibull Distribution Deterioration Rate, Scarcity and Salvage Value -- 1 Introduction -- 2 Model Formulation -- 2.1 Assumptions -- 2.2 Notations -- 2.3 Mathematical Formulation -- 3 Numerical Examples -- 3.1 Sensitivity Analysis -- 4 Conclusion -- References -- Information Actions Use for System Activity: Action Modeling Schemas -- 1 Introduction -- 2 The Need in Information Actions Use for System Activity -- 3 Action Modeling Schemas for the Theory of Information Actions Use for System Activity -- 4 Conclusion -- References -- High Security Object Integrity and Manipulation of Conceal Information by Hiding Partition Technique -- 1 Introduction -- 2 Requirements of Hiding Information Digitally -- 3 Digital Image Forensic Techniques for Feature Extraction -- 4 Spatial Transform Techniques -- 5 Conclusion -- References -- Performance Evaluation of FSO Under Different Atmospheric Conditions -- 1 Introduction -- 2 Simulation Setup -- 2.1 Simulation Result and Analysis -- 3 Conclusion -- References -- Smart Communication -- Design and Performance Analysis of High Reliability QOS-Oriented Adaptive Routing Protocol for MANET. , 1 Introduction -- 2 MANET -- 2.1 MANETS Characteristics -- 2.2 Application Areas of MANETS -- 2.3 Link Stability -- 3 Literature Survey -- 4 QOS-Oriented Adaptive Routing Protocol for 'MANET' -- 4.1 Formulas -- 4.2 Algorithm -- 5 Results -- 6 Conclusion -- References -- Circular Patch Antenna with Perturbed Slots for Various Wireless Applications -- 1 Introduction -- 2 Parameters for the Proposed Design -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- A Secure Handshaking AODV Routing Protocol (SHS-AODV) with Reinforcement Authentication in MANET -- 1 Introduction -- 2 Ad Hoc on Demand Distance Vector -- 2.1 Path Discovery -- 2.2 Reverse-Path Setup -- 2.3 Forward-Path Setup -- 2.4 Route Table Management -- 2.5 Path Maintenance -- 2.6 Local Connectivity Management -- 3 Literature Survey -- 4 SHS-AODV Routing Protocol -- 4.1 Key Generation -- 4.2 Elliptic Curve Cryptographic Algorithm (Ecc) -- 4.3 Algorithm -- 5 Results -- 5.1 Simulation Environment -- 5.2 Performance Metrics -- 6 Conclusion -- References -- AI-Powered Smart Routers -- 1 Introduction -- 2 Related Work -- 2.1 Ununified Routing (Loosely Coupled Mono-Cum-Multi-agent Evolution Strategies) -- 2.2 Unified Routing (Close-Coupled Single-Cum-Multi-agent Evolution Strategies) -- 3 AI-Powered Network Routing -- 3.1 Regenerative Control Paradigm -- 3.2 Unified and Ununified AI-Powered Networking -- 4 Brainy (SMART/Intelligent) Network -- 4.1 Unified and Ununified AI-Powered Networking -- 5 Simulation -- 6 AI-Powered and Brainy Hardware Routers -- 6.1 Framework Design Formulation -- 6.2 Simulation Results -- 7 Conclusion -- References -- Modified Sierpinski Gasket Monopole Fractal Antenna for Sub 6 GHz 5G Applications -- 1 Introduction -- 2 Evaluation of Antenna Design -- 3 Performance Analysis of Proposed Antenna -- 4 Performance Analysis of Proposed Antenna -- 5 Conclusion. , References -- Design of a Dual-Ring Resonator Antenna for WBAN Applications -- 1 Introduction -- 2 Implementation of Dual-Ring Resonator -- 3 Results -- 4 Conclusion -- References -- Performance Analysis of MIMO Antenna for Isolation Improvement -- 1 Introduction -- 2 Single Antenna Design Calculations -- 3 Design of MIMO Antenna -- 4 Analysis of the Space Diversity of MIMO Antenna -- 5 Analysis of Prototype Orthogonal MIMO -- 6 Conclusion -- References -- Low Power and High-Speed Full Adder with Complemented Logic and Complemented XOR Gate -- 1 Introduction -- 2 Review of Full Adders -- 2.1 Hybrid Full Adder [9] -- 3 Proposed Full Adder -- 3.1 Sum Output Generation Using XNOR Cell -- 3.2 Carry Output Using XNOR Cell -- 4 Delay Analysis -- 5 4-Bit Adder -- 6 Power Analysis -- 7 Conclusion -- References -- Determining the Number of Bit Encryption That Is Optimum for Image Steganography in 8 Bit Images -- 1 Introduction -- 2 Various Techniques of Image Steganography -- 2.1 LSB Method -- 2.2 Palette-Based Technique -- 2.3 Secure Cover Selection -- 3 Terms Used -- 4 Proposed Method -- 5 Result -- 6 Discussion -- 7 Conclusion -- References -- Design and Analysis of 2nd-Order Bandpass Filters Using SIW and Microstrip Patch Transitions with Stub Matching -- 1 Introduction -- 2 Design-1 -- 3 Design 2 -- 4 Results Analysis -- 5 Conclusions -- References -- Planar Split Ring Resonating Antenna Design -- 1 Introduction -- 2 Antenna Design -- 3 Simulation Results -- 4 Conclusion -- References -- Pentagonal Microstrip Patch Antenna with Circular Slot for 9 GHz Applications -- 1 Introduction -- 2 Design of Pentagonal Patch with Slot -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- Simulation and Analysis of an Optical Communication System Implementing DCF with Various Pulse Generators -- 1 Introduction -- 2 Simulation and Design. , 3 Result and Discussion -- 4 Conclusion -- References -- Simulation and Analysis of an 8 Channel CWDM Optical Network Suitable for Smart City Applications -- 1 Introduction -- 1.1 Multiplexing -- 1.2 DWDM -- 1.3 CWDM -- 2 Simulation Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Design of Low-Power Dynamic Threshold MOSFET (DTMOS) Push-Pull Inverter -- 1 Introduction -- 2 Proposed Design and Analysis -- 3 Simulation Results -- 4 Conclusion -- References -- Epileptic Seizure Detection Using Deep Learning Architecture -- 1 Introduction -- 2 Literature Review -- 3 Method Initiation with Improved Techniques -- 3.1 Data Extraction -- 3.2 Data Classification -- 4 Proposed Model -- 5 Result and Discussion -- 6 Conclusion -- References -- Ultra High Rate Inter-Satellite Optical Wireless Transmission Using DP-QPSK -- 1 Introduction -- 2 Modulation Format and Inter-Satellite Link -- 3 Proposed Set up -- 4 Results and Discussion -- 5 Conclusion -- References -- Investigation on Reactive Power Compensation Using STATCOM -- 1 Introduction -- 2 Research Method -- 2.1 Block Description and Operational Strategy -- 2.2 Network Description and Simulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Smart Energy Systems -- Optimization of Set-Point Deviation and Current Ripple of PMSM by CCS-MPC Method -- 1 Introduction -- 2 PMSM Model Description -- 3 Model Description of CCS-MPC Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Study, Design and Performance Analysis of Grid-Connected Solar PV System of Two Different Places Using PV syst Software -- 1 Introduction -- 2 Grid-Tied PV System -- 3 Methodology -- 3.1 PV Syst Software -- 3.2 Case Study -- 4 Input Requirement -- 4.1 Location -- 4.2 Tilt Angle -- 4.3 Albedo -- 4.4 Module and Inverter Specification -- 4.5 Economics Analysis. , 5 Simulation and Result -- 6 Conclusion -- References -- Transparent Solar Cell: A Powerful Device of Upcoming Era -- 1 Introduction -- 2 Discussion -- 2.1 Working Principle of Transparent Solar Cells -- 2.2 Different Types of Transparent Solar Cell -- 3 Applications -- 4 Conclusion -- References -- Machine Learning Techniques and Applications -- An Adaptive Firefly Optimization Algorithm for Human Gait Recognition -- 1 Introduction -- 2 Framework of the Proposed Approach -- 2.1 Gait Template Extraction -- 2.2 Introduction to Standard Firefly Algorithm (FA) -- 2.3 Adaptive Firefly Algorithm for Feature Selection -- 2.4 Pseudo-Code of an Adaptive Firefly Algorithm for Feature Selection -- 2.5 Combination of PCA and LDA -- 3 Experimental Analysis -- 3.1 Parameter Setting -- 3.2 Performance Evaluation Metrics of Classification -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Job Prediction Astrology for Using Classification Techniques in Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Set (HOROSCOPE) -- 3.2 Feature Extraction -- 4 Data Processing Techniques -- 4.1 Logistic Regression -- 4.2 Naïve Bayes Classification -- 4.3 DTNB -- 5 Experiments and Analysis -- 6 Conclusion -- References -- Developed Face and Fingerprint-Based Multimodal Biometrics System to Enhance the Accuracy by SVM -- 1 Introduction -- 1.1 Face Recognition -- 1.2 Fingerprint Recognition -- 1.3 Fusion -- 2 Literature Review -- 3 Methodology -- 3.1 Face -- 3.2 Finger -- 3.3 Principal Component Analysis -- 3.4 SVM Classifier -- 4 Result and Experiments -- 5 Conclusion -- References -- A Survey on Deep Learning Techniques for Anomaly Detection in Human Activity Recognition -- 1 Introduction -- 2 Deep Learning -- 3 Methods and Implementation -- 4 Discussions -- 5 Conclusion -- References. , Evaluation of Different Paradigms of Machine Learning Classification for Detection of Breast Carcinoma.

Note: Intro -- ICAIHC Committee -- Preface -- Acknowledgements -- Contents -- About the Editors -- 1 An Adaptive Fuzzy-Based Clustering Model for Healthcare Wireless Sensor Networks -- 1.1 Introduction -- 1.1.1 Resource Management in WSN -- 1.2 Related Work -- 1.3 Proposed Model -- 1.3.1 Fuzzy Sets and Neuro-fuzzy Logic Theory -- 1.4 Simulation and Results -- 1.5 Conclusion and Future Work -- References -- 2 Artificial Pancreas (AP) Based on the JAYA Optimized PI Controller (JAYA-PIC) -- 2.1 Introduction -- 2.2 Problem Statements Formulations -- 2.2.1 Clinical Information -- 2.2.2 Simulation Model -- 2.2.3 MID -- 2.2.4 Patient Output -- 2.3 Control Algorithms -- 2.3.1 Development of JAYA-PIC -- 2.4 Results -- 2.4.1 JAYA-PIC Action in Patient -- 2.4.2 Analysis of Control Actions -- 2.5 Conclusions -- References -- 3 Security Issues and Solutions for Reliable WBAN-Based e-Healthcare Systems: A Systematic Review -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Secured WBAN Requirements -- 3.3.1 Security Paradigms for WBAN -- 3.3.2 Security Needs in WBAN -- 3.4 Security Solutions -- 3.5 Case Studies on WBAN Prototypes -- 3.6 Conclusion -- References -- 4 Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer -- 4.1 Introduction -- 4.2 Multilevel Thresholding Based on Entropy -- 4.2.1 Multilevel Thresholding: A Mathematical Approach -- 4.2.2 Entropy Functions -- 4.3 Opposition Equilibrium Optimizer (OEO) -- 4.4 Proposed Brain Tumour Detection Method Using OEO-Based Multilevel Thresholding Approach -- 4.5 Results and Discussion -- 4.6 Conclusion -- References -- 5 RescuePlus -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Existing Solution -- 5.4 Proposed Solution -- 5.5 Result -- 5.6 Future Scope -- 5.7 Conclusion -- References -- 6 Skeletal Bone Age Determination Using Deep Learning -- 6.1 Introduction -- 6.2 Methodology. , 6.2.1 Data Set Selection -- 6.2.2 Data Pre-processing -- 6.3 Custom Model -- 6.3.1 Model Architecture -- 6.3.2 Approaches -- 6.4 Experiments -- 6.4.1 Loss Functions -- 6.4.2 Comparing with Pre-trained Models -- 6.5 Conclusion -- References -- 7 Chimp Optimization Algorithm-Based Feature Selection for Cardiac Image-Based Heart Disease Diagnosis -- 7.1 Introduction -- 7.2 Chimp Optimization Algorithm-Based Feature Selection for Heart Disease Diagnosis -- 7.2.1 Pre-processing -- 7.2.2 Feature Extraction -- 7.2.3 Feature Selection Using ChOA -- 7.2.4 Classification Using SVNN -- 7.3 Results and Discussion -- 7.4 Conclusion -- References -- 8 The Hospitality Industry's Impact on the COVID-19 Epidemic: A Case Study of Ukraine -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Research Methods -- 8.4 Results -- 8.4.1 State and Legal Measures -- 8.5 Conclusion -- References -- 9 Society in Front of a COVID-19 Pandemic: India Versus Ukraine -- 9.1 Introduction -- 9.1.1 Research Background -- 9.2 Research Methods and Materials -- 9.3 Results -- 9.3.1 The Speed of Virus Spreading -- 9.3.2 The Risk and Danger Rate Estimation -- 9.4 The Level of Trust in the National Healthcare System and the Satisfaction of Government's Response to COVID-19 Situation -- 9.5 The Emotions and General Psychological State of Respondents -- 9.6 Conclusions -- Notes -- References -- 10 Breast Cancer Detection Using Concatenated Deep Learning Model -- 10.1 Introduction -- 10.2 Proposed Methodology -- 10.2.1 Convolutional Neural Network -- 10.2.2 LSTM -- 10.3 Result Analysis -- 10.3.1 Dataset Description -- 10.4 Conclusion -- References -- 11 Recommendation of Pesticides Based on Automation Detection of Citrus Fruits and Leaves Diseases Using Deep Learning -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Work -- 11.3.1 Image Acquisition and Preprocessing. , 11.3.2 Image Segmentation -- 11.3.3 Diseases Prediction -- 11.3.4 Experimental Results -- 11.3.5 Fertilizer Recommendation -- 11.4 Conclusion -- References -- 12 Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion -- 12.1 Introduction -- 12.2 Review of Literature -- 12.3 Comprehensive Information Retrieval -- 12.3.1 BERT Model -- 12.3.2 Topic Modelling Using Latent Dirichlet Allocation -- 12.3.3 The Proposed CIR Architecture -- 12.4 The Proposed Approach -- 12.5 Experimental Results -- 12.5.1 Dataset -- 12.5.2 Evaluation Metrics -- 12.5.3 Performance Evaluations -- 12.5.4 Performance Comparison -- 12.5.5 Discussions -- 12.6 Conclusion -- References -- 13 Diabetic Retinopathy Detection Using CNN Model -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Dataset Used -- 13.3.1 Overview -- 13.3.2 Augmentation -- 13.4 Defining CNN Model -- 13.4.1 Summary of Model Architecture -- 13.4.2 Model Layers -- 13.4.3 Loss Function -- 13.5 Result -- 13.6 Conclusion -- References -- 14 Digi-CANE-An IoT Savior for Visually Sensitive -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Objective -- 14.4 General Flowchart -- 14.5 The Sensory Architecture -- 14.5.1 Emergency Sensor (Gyroscope) -- 14.5.2 Cane Module -- 14.5.3 Ultrasonic Sensor -- 14.5.4 Buzzer -- 14.5.5 Arduino Uno -- 14.5.6 Working -- 14.6 Circuit Diagram -- 14.6.1 Hardware Details -- 14.6.2 Working of Ultrasonic Sensor (HC-SR04) -- 14.6.3 Software Requirement Arduino IDE -- 14.7 Conclusion and Future Scope -- References -- 15 Link Performance in Community Detection Using Social Network -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methods -- 15.4 Metrics -- 15.5 Experimental Results -- 15.6 Discussion -- 15.7 Conclusion -- References -- 16 Analyze Ego-Centric Nodes in Social Network Using Machine Learning Technique -- 16.1 Introduction. , 16.2 Review of Literature -- 16.3 Materials and Method -- 16.4 Link Influence Strategies -- 16.5 Result and Discussion -- 16.6 Conclusion -- 16.7 Future Enhancement -- References -- 17 5G Revolution Transforming the Delivery in Healthcare -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Features of 5G Technology -- 17.4 Problems Posed by Current Healthcare Industry -- 17.4.1 Lack of Universal Access -- 17.4.2 Long-Term Chronic Care Burden -- 17.4.3 Aging Population -- 17.4.4 Resource Constraints and Healthcare Disparities -- 17.5 Areas in Healthcare that 5G Will Boost -- 17.5.1 Imaging -- 17.5.2 Diagnostics -- 17.5.3 Data Analytics and Treatment -- 17.6 New Realms that 5G Will Enable -- 17.7 Real-World Trials -- 17.8 Positive Impacts of 5G on Our Healthcare System -- 17.9 Recommendations -- 17.10 Conclusion and Future Works -- References -- 18 A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus -- 18.1 Significance of AI in Flavivirus Disease Eradication -- 18.1.1 AI in Healthcare -- 18.1.2 Flavivirus-A Detailed Synopsis -- 18.1.3 Flavivirus Characteristics -- 18.1.4 Flavivirus Lifecycle -- 18.1.5 Flavivirus Epidemiology -- 18.2 Detection and Estimation of Flavivirus Disease with Machine Learning Models -- 18.3 Conclusions and Future Direction -- References -- 19 Early Detection of Sepsis Using LSTM Neural Network with Electronic Health Record -- 19.1 First Section -- 19.2 Method -- 19.2.1 Sepsis Data Preprocessing -- 19.2.2 LSTM Model -- 19.3 Result and Discussion -- 19.4 Conclusion -- References -- 20 Detection of COVID-19 Infection from Clinical Findings Using Machine Learning Algorithm -- 20.1 Introduction -- 20.2 Related Works -- 20.3 Materials and Methods -- 20.3.1 Medical Dataset Used -- 20.3.2 Data Preprocessing -- 20.3.3 Feature Selection -- 20.3.4 Classification Algorithms. , 20.4 Performance Evaluation and Results -- 20.4.1 Evaluation Measures -- 20.4.2 Results -- 20.5 Conclusion -- References -- 21 Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System -- 21.1 Introduction -- 21.2 System Framework -- 21.3 System Modeling -- 21.4 Results and Discussion -- 21.5 Conclusion -- References -- 22 Performance Analysis of Hyperparameters of Convolutional Neural Networks for COVID-19 X-ray Image Classification -- 22.1 Introduction -- 22.2 CNN and Its Optimizers -- 22.3 Experimental Results -- 22.4 Conclusion -- References -- 23 Sequence Rule Mining for Insulin Dose Prediction Using Temporal Dataset -- 23.1 Introduction -- 23.2 Literature Review -- 23.3 Definitions -- 23.3.1 Sequential Rule Mining -- 23.3.2 Support and Confidence -- 23.3.3 Sequence Rule Mining Algorithms -- 23.4 Methodology -- 23.5 Experiment Work -- 23.5.1 Dataset Used -- 23.5.2 Result and Discussion -- 23.6 Conclusion -- 23.7 Future Scope -- References -- 24 Ensemble Deep Learning Approach with Attention Mechanism for COVID-19 Detection and Prediction -- 24.1 Introduction -- 24.2 Related Work -- 24.3 Proposed Model -- 24.4 Data sets, Experiments, and Results -- 24.5 Conclusion and Future Scope -- References -- 25 Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks -- 25.1 Introduction -- 25.2 Proposed Work -- 25.2.1 Prototype Learner -- 25.2.2 Segmentor -- 25.3 Experiments -- 25.3.1 Dataset Description and Measures Used -- 25.3.2 Parameters -- 25.3.3 Results and Analysis -- 25.4 Conclusion -- References -- 26 Quantification of Homa Effect on Air Quality in NCR, India: Pollution and Pandemic Challenges in Cities and Healthcare Remedies -- 26.1 Introduction -- 26.1.1 Air Quality Global Challenge in Twenty-First Century -- 26.1.2 How Yajna and Vedic Rituals May Curb Pollution. , 26.2 Literature Review.

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 -- 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 -- ICAIT-2021 Organization -- Preface -- Contents -- About the Editors -- Part I Invited Papers -- 1 Utilization of the Open-Source Arduino Platform to Control Based on Logic Eτ -- 1.1 Introduction -- 1.2 Theoretical Reference -- 1.2.1 Irrigation System -- 1.2.2 Irrigation Methods and Systems -- 1.2.3 Localized Irrigation -- 1.2.4 Paraconsistent Logic -- 1.2.5 Paraconsistent Annotated Evidential Logic Eτ -- 1.2.6 Para-Analyser Algorithm -- 1.2.7 Arduino -- 1.3 Methodology -- 1.4 Results -- 1.5 Conclusion -- References -- 2 Ontology Implementation of OPC UA and AutomationML: A Review -- 2.1 Introduction -- 2.2 Research Method -- 2.3 Results Analysis -- 2.4 Discussions -- 2.5 Conclusions -- References -- Part II Regular Papers -- 3 Airport Cab Scheduling Model Based on Queuing Theory -- 3.1 Problem Restatement -- 3.1.1 Problem Background -- 3.1.2 Problem Requirements -- 3.2 Model Assumptions -- 3.3 Symbol Description -- 3.4 Problem Analysis -- 3.4.1 Problem One Analysis -- 3.4.2 Problem Two Analysis -- 3.4.3 Problem Three Analysis -- 3.4.4 Problem Four Analysis -- 3.5 Model Building and Solving -- 3.5.1 Give the Taxi Driver's Decision Model in the Two Choices of A and B -- 3.5.2 Analyze the Rationality of the Model Through the Relevant Data of a Domestic Airport and Its City Taxi -- 3.5.3 How to Set the "Boarding Point" to Maximize the Efficiency of the Ride -- 3.5.4 A Theoretical Analysis of the Scale of "Boarding Points" and Lane Sides -- 3.5.5 According to the Difference in the Mileage of Different Taxis, Develop a "Priority" Arrangement Plan to Maximize Time and Revenue -- References -- 4 Machine Reading Comprehension Model Based on Multi-head Attention Mechanism -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 DuReader Dataset -- 4.2.2 DuReader Baseline Model -- 4.2.3 Multi-headed Attention Mechanism -- 4.3 Multi-head Attention Mechanism. , 4.3.1 Multi-head Attention Presidential Structure -- 4.3.2 Scaled Dot-Product Attention -- 4.4 Model Structure -- 4.4.1 Task Definition -- 4.4.2 Embedded Layer -- 4.4.3 Coding Layer -- 4.4.4 Matching Layer -- 4.4.5 Modeling Layer -- 4.4.6 Output Layer -- 4.5 Experiments and Results -- 4.5.1 Evaluation Criteria -- 4.5.2 Dataset -- 4.5.3 Experiments and Results -- 4.6 Conclusion -- References -- 5 Design of Military Physical Fitness Evaluation System Based on Big Data Clustering Algorithm -- 5.1 Introduction -- 5.2 Hardware Unit Design of Military Physical Fitness Evaluation System -- 5.3 Software Module Design of Military Physical Fitness Evaluation System -- 5.3.1 Construction Module of Military Physical Fitness Evaluation Index System -- 5.3.2 Application Module of Big Data Clustering Algorithm -- 5.3.3 Database Building Module -- 5.4 Experiment and Result Analysis -- 5.4.1 Construction of Experimental Environment -- 5.4.2 Experimental Data Analysis -- 5.4.3 Acquisition of Experimental Results -- 5.5 Conclusion -- References -- 6 ResNet-Based Multiscale U-Net for Human Parsing -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Our Proposed Method -- 6.3.1 Encoder -- 6.3.2 Decoder -- 6.3.3 Multiscale Feature Fusion -- 6.4 Experiments -- 6.4.1 Datasets -- 6.4.2 Evaluation Metrics -- 6.4.3 Results -- 6.5 Conclusion -- References -- 7 Short-Term Electricity Price Forecast Based on SSA-SVM Model -- 7.1 The Introduction -- 7.2 SSA -- 7.3 SVM -- 7.4 The SSA-SVM Model -- 7.5 Example Analysis -- 7.5.1 Data Processing -- 7.5.2 Data Normalization -- 7.5.3 Evaluation Indicators -- 7.5.4 Analysis of Prediction Results -- 7.6 Conclusion -- References -- 8 Research on Mobile Advertising Click-Through Rate Estimation Based on Neural Network -- 8.1 Pricing and Placement of Advertisements -- 8.2 The AUC Indicators. , 8.3 Estimating Click-Through Rates of Mobile Ads Based on Neural Networks -- 8.3.1 Model -- 8.3.2 Objective Function and Algorithm -- 8.3.3 Key Points of Optimization -- 8.3.4 Result Analysis -- 8.4 Conclusion -- References -- 9 Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network -- 9.1 Prediction Technology -- 9.2 Optimized Wavelet Neural Network Model -- 9.3 Case Study -- 9.3.1 Specific Introduction -- 9.3.2 Training of Learning Samples -- 9.3.3 Analyze the Macroeconomic Forecast Results -- 9.4 Conclusion -- References -- 10 Design Research on Financial Risk Control Model Based on CNN -- 10.1 Risk Control Model in Unbalanced Data Environment -- 10.1.1 Features of Financial Data -- 10.1.2 Pretreatment -- 10.1.3 Risk Control Model -- 10.2 Convolutional Neural Network (CNN) is Used to Build a Financial Risk Control Model -- 10.2.1 Design Network Structure -- 10.2.2 Result Analysis -- 10.2.3 Innovative Analysis -- 10.3 Conclusion -- References -- 11 Application of Multi-objective Optimization Algorithm in Financial Market Portfolio -- 11.1 Genetic Algorithm Analysis of Multi-objective Programming -- 11.2 Analysis of Portfolio Optimization Model Based on Genetic Algorithm -- 11.2.1 Model Framework -- 11.2.2 Factor Analysis -- 11.2.3 Risk Indicators -- 11.3 Application Results -- 11.3.1 Data Processing -- 11.3.2 Optimal Solution of Investment Portfolio -- 11.3.3 Comparative Analysis -- 11.4 Conclusion -- References -- 12 Research on Success Factors of Long Rental Apartment Based on SEM-ANN -- 12.1 Introduction -- 12.2 Methods -- 12.2.1 SEM Model -- 12.2.2 ANN Model -- 12.2.3 Research Model Based on SEM-ANN -- 12.3 Result Analysis -- 12.4 Conclusion -- References -- 13 T-AGP: A Kind of Music-Researching Method Based on Data-Driven Comprehensive System of Network Analysis -- 13.1 Introduction. , 13.2 Structure and General Description -- 13.3 The Influencer Network and Influence Analysis -- 13.3.1 Influence Measures -- 13.3.2 Subnetwork Analysis -- 13.4 Similarity Measure -- 13.4.1 The Exploration of Core Features -- 13.4.2 Micro-Similarity Between Two Pieces of Music -- 13.4.3 Macro-Similarity Between Two Genres -- 13.5 Similarity and Difference Between Genres -- 13.5.1 Genre Similarity Analysis -- 13.5.2 Genre Influence Analysis -- 13.5.3 What Distinguishes a Genre -- 13.5.4 Relationships Between Genres -- 13.5.5 Genres' Changes Over Time -- 13.6 The Mechanism of Influence from Influencer to Follower in Music -- 13.7 Dynamic Analysis Over Time and Identification of Major Leaps in Music -- 13.7.1 Dynamic Analysis of the Network -- 13.7.2 Music Characteristics' Evolution Over Time -- 13.8 Cultural Influence on Music -- 13.8.1 Influence from Technology -- 13.8.2 Influence from Social and Political Revolution -- 13.9 Conclusions and Prospects -- 13.9.1 Conclusions -- 13.9.2 Weakness -- 13.9.3 Prospects -- References -- 14 Application of Improved Algorithm of BP Neural Network -- 14.1 Model Analysis of BP Neural Network -- 14.2 Improve the Algorithm -- 14.3 Specific Application -- 14.3.1 PI Parameter Tuning of Valve Positioner -- 14.3.2 Shipboard Navigation System -- 14.4 Conclusion -- References -- 15 Application of Improved Harmony Search Algorithm in Photovoltaic MPPT Under Partial Shadow Conditions -- 15.1 Introduction -- 15.2 Analysis of Output Characteristics of Photovoltaic Cells Array in Partial Shadow -- 15.3 Harmony Search (HS) Algorithm -- 15.3.1 Traditional Harmony Search Algorithm -- 15.3.2 Improvement of Traditional HS Algorithm -- 15.3.3 MPPT Control Method Based on IHS Algorithm -- 15.4 Simulation Experiment Analysis -- 15.5 Conclusion -- References -- 16 A Traditional Butterfly Optimization Algorithm MPPT Method. , 16.1 Introduction -- 16.2 Multi-peak Output Characteristics of Photovoltaic Cells Under Local Shade -- 16.2.1 Mathematical Models of Multiple Photovoltaic Cells -- 16.2.2 Multi-peak Output Characteristics -- 16.3 MPPT Flow Chart Based on BOA -- 16.4 Simulation and Result Analysis -- 16.4.1 Simulation -- 16.4.2 Result Analysis -- 16.5 The Conclusion -- 1. References -- 17 Crops Plantation Problem in Uncertain Environment -- 17.1 Introduction -- 17.1.1 Motivation -- 17.1.2 Literature Review -- 17.1.3 Proposed Approaches -- 17.2 Basic Principles -- 17.3 Uncertain Crops Plantation Problem -- 17.4 Method -- 17.5 Conclusion -- References -- 18 Simplified Full-Newton Step Method with a Kernel Function -- 18.1 Introduction -- 18.2 Preliminaries -- 18.2.1 The Central Path of the Perturbed Problems -- 18.2.2 Search Directions -- 18.2.3 The Iterative Process of the Algorithm -- 18.3 The Properties of Simple Function and the Proximity Function -- 18.4 Algorithm Analysis -- 18.4.1 The Feasibility Step -- 18.4.2 Upper Bounds for paralleldxfparallel -- 18.4.3 Values of θ and τ -- 18.4.4 Centering Steps -- 18.4.5 Total Number of Main Iterations -- 18.5 Conclusion -- References -- 19 Marine Ship Identification Algorithm Based on Object Detection and Fine-Grained Recognition -- 19.1 Introduction -- 19.2 Overall Process -- 19.3 Design Scheme -- 19.3.1 Construction of Data Sets -- 19.3.2 Target Detection Network -- 19.3.3 Fine-Grained Identification Network -- 19.4 Experimental Verification -- 19.5 Conclusions and Prospects -- References -- 20 Automatic Detection of Safety Helmet Based on Improved YOLO Deep Model -- 20.1 Introduction -- 20.2 YOLOv5 Network Model -- 20.2.1 Input -- 20.2.2 Backbone -- 20.2.3 Neck -- 20.2.4 Output -- 20.3 Improvements -- 20.3.1 Anchor Boxes and Detection Scale -- 20.3.2 Loss Function -- 20.4 Experimental Result and Analysis. , 20.4.1 Dataset.