Business Intelligence and Information Technology: Proceedings of BIIT 2022

Description

This book constitutes the refereed proceedings of the 2022 International Conference on Business Intelligence and Information Technology (BIIT 2022) held in Harbin, China, during December 17–18, 2022. BIIT 2022 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt.  The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, and artificial intelligence technology. Organization Committee General Chair General Co-chairs Technical Program Committee Chairs Technical Program Committee Co-chairs Publication Chairs Publication Co-chairs Local Organizing Committee Chairs Technical Program Committee Members Preface Contents About the Editors Part I Business Intelligence and Decision Making 1 Research on the Incentive Mechanism of Publishing Editors Based on Psychological Contract 1.1 Introduction 1.2 Literature Review 1.3 An Analysis of the Influencing Factors of Publishing Organization Editors' Psychological Contract 1.3.1 Dominant Factors in Publishing Organizations 1.3.2 Editing Team's Own Hidden Factors 1.4 Data Sources and Model Building 1.4.1 Data Sources 1.4.2 Model Building 1.5 Editorial Incentive Mechanisms for Publishing Organizations 1.5.1 Reconstructing the Corporate Culture Ecology of Integrated Publishing 1.5.2 Establish a “People-Oriented” Management Concept 1.5.3 Create High-Trust Organizational Working Relationships 1.5.4 Optimize Performance Management System and Mechanism 1.6 Conclusion References 2 Evaluation of China's Digital Agriculture Development Level Under the Entropy Method 2.1 Introduction and Literature Review 2.2 Research Methods and Data Sources 2.2.1 Indicator System Construction 2.2.2 Determination of Evaluation Index Weights Based on Entropy Value Method 2.3 Empirical Analysis 2.3.1 Analysis of Evaluation Results 2.3.2 Time Series Analysis 2.3.3 Time Series Evolution Analysis 2.4 Conclusions and Recommendations 2.4.1 Conclusion 2.4.2 Recommendations References 3 Research on Patent Cooperation Network of Patent-Intensive Industries in Heilongjiang Province from the Perspective of Complex Network 3.1 Introduction 3.2 Construction of Patent Cooperation Network 3.2.1 Research Tools and Methods 3.2.2 Sources of Data 3.3 Empirical Tests 3.3.1 Static Analysis of Patent Cooperation Network 3.3.2 Evolution Analysis of Patent Cooperation Network 3.4 Conclusions and Recommendations 3.4.1 Conclusions 3.5 Recommendations References 4 Study of Egg Product Supply Chain Benefit Allocation Based on Fuzzy Shapley Value 4.1 Introduction 4.2 Method 4.2.1 Problem Description 4.2.2 Shapley Value 4.3 Numerical Example 4.3.1 Classical Shapley Value Method for Egg Product Supply Chain Revenue Allocation 4.3.2 Modified Shapley Value Allocation 4.4 Conclusion and Insights References 5 Trilateral Evolutionary Game Analysis of Personal Information Use and Protection in the Digital Economy 5.1 Introduction 5.2 Related Works 5.3 Model Design of Trilateral Game 5.3.1 Model Assumptions 5.3.2 Parameter Variable Setting 5.3.3 Decision Variables Setting 5.4 Trilateral Evolution Game Model 5.4.1 Evolution Equations in Dynamic Game Processes Based on Government Perspective 5.4.2 The Evolution Equation in the Dynamic Game Process of the Source of Personal Information 5.4.3 The Evolution Equation in the Dynamic Game Process of Businesses (C) 5.5 Analysis of Evolution Path of Trilateral Dynamic Game 5.5.1 Path Evolution of Government-Driven Three-Party Dynamic Game 5.5.2 Analysis of the Evolution Path of the Government-Driven Tripartite Dynamic Game 5.6 Conclusions and Suggestions 5.6.1 Conclusions 5.6.2 Suggestions References 6 Research on the Evaluation of Tourism Digital Content Marketing Based on PCA-AHP 6.1 Introduction 6.2 Literature Review 6.2.1 Digital Content 6.2.2 Digital Content Marketing 6.2.3 Evaluation of Digital Content Marketing 6.3 Indicator System Construction 6.3.1 Evaluation Model 6.3.2 Selection of Evaluation Indicators 6.3.3 Determination of Index Weights 6.4 Empirical Study 6.4.1 Data Collection 6.4.2 Evaluation Process and Result Analysis 6.5 Conclusion References 7 Research on the Performance Evaluation of Digital Trade Based on the “VHSD-EM” Model Under Dual Circulation 7.1 Introduction 7.2 Meaning of Digital Trade Under Dual Circulation 7.2.1 Definition of Digital Trade 7.2.2 Characteristics of Digital Trade Under Dual Circulation 7.3 Performance Evaluation Mechanism of Digital Trade 7.3.1 Construction of Performance Evaluation System for Digital Trade 7.3.2 Measurement Method of Digital Trade 7.4 Evaluation of the Present Situation of China’s Digital Trade Development 7.4.1 The Advantages of Digital Infrastructure 7.4.2 The Advantages of the Large Scale of Market 7.4.3 The Advantages of the Huge Industrial Scale 7.4.4 The Insufficiency of the Key and Core Technologies 7.4.5 The Highlighted Importance of Data Security and Privacy Protection 7.5 Measures to Promote the Development of Digital Trade 7.5.1 Increasing Technological Innovation in Digital Trade 7.5.2 Deepening International Cooperation on Digital Trade 7.5.3 Upgrading the Security Guarantee System of Digital Trade References 8 Research on the Distribution of Income from Agricultural Supply Chains Under the Integration of Agriculture Based on the Revised Shapley Method 8.1 Introduction 8.2 Literature Review on Agricultural Supply Chain 8.3 Shapley Model and Revenue Distribution 8.3.1 Introduction to the Shapley Method 8.3.2 Agricultural Supply Chain Node Revenue Calculation 8.4 Modification of the Shapley Model 8.4.1 Influencing Factors Affecting the Distribution of Supply Chain Benefits 8.4.2 Shapley Value Correction Model 8.5 Example Analysis 8.5.1 AHP Hierarchical Analysis Method to Calculate the Weights 8.5.2 Correction of Shapley Value 8.6 Conclusion References Part II Digital Economy and Digital Technology 9 Analysis of the Evaluation of the Effect of International Cooperation on the Cultivation of Talents in Vocational Colleges Under the Construction of “Double-High” 9.1 Introduction 9.2 Data and Methods 9.2.1 Establishment of the Indicators 9.2.2 Data Processing and Analysis Methods 9.3 Research Methods 9.3.1 Entropy Right Method 9.3.2 The TOPSIS 9.4 Data Analysis of Talent Training Effect 9.4.1 Data 9.4.2 Calculating the Entropy Weights 9.4.3 Construction Based on the TOPSIS Model 9.5 Discussion 9.6 Conclusion References 10 The Impact of Digital Finance on Energy Intensity——New Evidence from China 10.1 Introduction 10.2 Research Method 10.2.1 Variable Description 10.2.2 Model 10.3 Empirical Results 10.3.1 Measurement Regression Results 10.3.2 Heterogeneity Analysis 10.3.3 Robustness Test 10.4 Conclusion References 11 Research on the Influencing Factors of China's Digital Trade Development Level 11.1 Introduction 11.2 Literature Review 11.3 Research Methods 11.4 Analysis of Influencing Factors of China's Digital Trade Development Level 11.5 Suggestions for Accelerating the Development of Digital Trade in China 11.5.1 Accelerate the Construction of Digital Infrastructure 11.5.2 Increase Financial Support and Talent Training 11.5.3 Upgrade the Digital Industry Structure References 12 Research on the Coupling and Coordinated Development of the Digital Economy and Rural Revitalization 12.1 Introduction 12.2 Theoretical Construction of the Coupling of the Digital Economy and Rural Revitalization 12.3 Empirical Analysis of the Coupling Between the Digital Economy and Rural Revitalization 12.3.1 Construction of Indicator System and Data Sources 12.3.2 Model Introduction 12.3.3 Discussion of Results 12.4 Conclusions and Recommendations 12.4.1 Conclusion 12.4.2 Recommendations References 13 The Impact of the Digital Economy on TFP in China's Equipment Manufacturing Industry 13.1 Introduction 13.2 Reviews of Relevant Research Literature 13.2.1 The Definition and Statistical Standard of the Digital Economy 13.2.2 The Concept of TFP 13.2.3 Researches Related to Digital Economy and Equipment Manufacturing TFP 13.3 Study Setting 13.3.1 Model Construction 13.3.2 Variable Description 13.3.3 Data Sources and Processing 13.4 Analysis of TFP and Digital Economy Development Level 13.4.1 Static Efficiency Analysis 13.4.2 Dynamic Efficiency Analysis 13.4.3 Data Processing for Digital Economy 13.4.4 Digital Economy Analysis 13.5 Analysis of Empirical Results 13.5.1 Empirical Tests Based as a Whole and Sub-Sectors 13.5.2 Regional Heterogeneity Analysis 13.6 Conclusions and Policy Recommendations References 14 A Study on the Impact of Digital Finance on Green Technology Innovation 14.1 Introduction 14.2 Theoretical Analysis and Research Hypothesis 14.2.1 Green Technology Innovation and Digital Finance 14.2.2 The Inclusive Function of Digital Finance for the Growth of Urban Green Technology Innovation 14.3 Study Design 14.3.1 Variable Definitions and Data Descriptions 14.3.2 Model Setting 14.4 The Impact of Digital Finance on Green Technology Innovation 14.4.1 Return to Baseline 14.4.2 Robustness Tests 14.4.3 Endogeneity Test 14.5 Inclusive Attributes of Digital Finance for Urban Green Technology Innovation 14.6 Research Findings and Policy Recommendations References 15 Research on the Relationship Between the Digital Economy, Industrial Innovation Capability, and Servitization of the Advanced Manufacturing Industry 15.1 Introduction 15.2 Literature Review 15.3 Research Hypotheses and Theoretical Models 15.3.1 Research Hypotheses 15.3.2 Sample Selection and Data Sources 15.3.3 Variable Indicator Description 15.4 Empirical Research 15.4.1 Digital Economy, Industrial Innovation Capability, and Servitization of Advanced Manufacturing Industry 15.4.2 Test for Robustness 15.5 Research Conclusions and Countermeasures 15.5.1 Research Conclusion 15.5.2 Suggestions References 16 Research on the Performance of Digital Economy in Heilongjiang Province on the Development of the Manufacturing Industry 16.1 Introduction 16.2 Review of Relevant Literature 16.3 The Construction of Index System and Model 16.3.1 Data Sources and Evaluation Methods 16.3.2 Variable Selection and Index System 16.3.3 Model Construction 16.4 Empirical Analysis 16.4.1 Regression Analysis 16.4.2 Robustness Test 16.5 Conclusions and Suggestions 16.5.1 Conclusion 16.5.2 Policy Recommendations References 17 Nature-Inspired Optimization Methods in Digital Filters Design 17.1 Introduction 17.2 Digital Filters: FIR and IIR 17.3 Nature-Inspired Optimization Methods 17.4 Application of Nature-Inspired Optimization Methods to Digital Filters Design 17.5 Conclusions References 18 The Impact of Urban Factor Market Distortion on the Innovation Efficiency of Industrial Enterprises in Heilongjiang Province 18.1 Introduction 18.2 Evaluation of Distortion Degree of Urban Factor Market in Heilongjiang Province 18.2.1 Model Principle and Setting 18.2.2 Variable Selection and Data Processing 18.2.3 Measurement Results 18.3 Measurement of Innovation Efficiency of Urban Industrial Enterprises in Heilongjiang Province 18.3.1 Selection of Research Methods 18.3.2 Variable Selection and Data Sources 18.3.3 Measurement Results 18.4 Conclusion References Part III Electronic Commerce Technology and Application 19 Optimal Decision of Fresh Agricultural Products’ Supply Chain Under Stochastic Demand and Online Pre-selling 19.1 Introduction 19.2 Model Formation and Basic Assumptions 19.3 Model Establishment 19.3.1 Centralized Decision-Making 19.3.2 Decentralized Decision-Making 19.4 Numerical Examples 19.4.1 Impacts of Pre-sale Discount Rate on Sales Price and Network Service Level 19.4.2 The Effect of Pre-sale Discount Rate on the Optimal Profit of Each Member in the Supply Chain 19.5 Conclusion References 20 Research on the Impact of Cross-Border Data Flow Restrictions on Digital Service Trade and Its Countermeasures 20.1 Introduction 20.2 Analysis on the Current Situation of Restrictions on Digital Service Trade and Cross-Border Data Flow 20.2.1 Development Status of Digital Service Trade 20.2.2 Current Situation of Cross-Border Data Flow Restrictions 20.3 Analysis of the Impact of Cross-Border Digital Flow on Digital Service Trade 20.3.1 Raising the Trade Cost of Enterprises 20.3.2 Hinder the Improvement of Production Efficiency 20.3.3 Reduce the Scale of Export Trade 20.4 Econometric Models and Variable Demarcation 20.4.1 Measurement Model Setting 20.4.2 Index Meaning and Data Source Description 20.4.3 Estimation Method 20.5 Results Inspection and Analysis 20.5.1 Full Sample Regression 20.5.2 Robustness Test 20.6 Conclusions and Countermeasures References 21 Research on Trade Facilitation of Cross-Border Export B2C E-Commerce Based on Entropy Weight Method 21.1 Introduction 21.2 Research Status 21.3 Model Construction and Variable Introduction 21.3.1 Data Introduction 21.3.2 Entropy Weighting Method 21.3.3 Trade Facilitation Level Comparison Based on Entropy Weight Method 21.3.4 Application of Fixed Effect Model Based on Entropy Weight Method 21.4 Experimental Results and Analysis 21.5 Conclusion References 22 Research on Pre-sales Services and Pricing Strategies for Fresh Produce e-Commerce Under Different Game Structures 22.1 Introduction 22.2 Model Formation and Basic Assumptions 22.2.1 Consumer Utility Analysis 22.2.2 Basic Assumptions 22.3 Model Establishment 22.3.1 Service and Pre-sales Strategies in a Cooperative Game 22.3.2 Service and Pre-sales Strategies for E-tailer-led Stackelberg Gaming 22.3.3 Nash Gaming’s Service and Pre-sales Strategy 22.4 Results 22.5 Conclusions References 23 Study on Dynamic Pricing of Perishable Goods Based on Consumer Strategic Behavior in Two Purchasing Environments 23.1 Introduction 23.1.1 Dynamic Pricing of Perishable Goods 23.1.2 The Purpose of the Study 23.2 Literature Review 23.3 Theory and Model 23.3.1 A Subsection Sample 23.4 Dynamic Pricing of Perishable Products on Consumer Strategic Behavior 23.4.1 The Pricing of Consumer Strategic Behavior in Determine Environment 23.4.2 Pricing in Uncertainty Condition with Consumer Strategic Behavior 23.4.3 The Purchase Decision of Strategic Consumers 23.4.4 Optimal Dynamic Pricing Decision of E-retailers with Uncertain Demand 23.5 Numerical Experiment 23.5.1 The Influence of Consumer Strategic Behavior on Retailers Profits in the Market 23.5.2 Consumer Strategy Behavior Under Out of Stock Risk with Uncertain Environment 23.6 Conclusion and Prospect References 24 Challenges and Solutions for Arabic Natural Language Processing in Social Media 24.1 Introduction 24.1.1 Overview 24.1.2 Background 24.2 Problem Identification and Analysis 24.3 Literature Review 24.4 Methodology 24.4.1 Criteria for Acceptance and Removal 24.4.2 Data Sources and Search Strategies 24.4.3 Quality Assessment 24.5 Results 24.6 Discussion and Conclusion References Part IV Image Analysis and Processing 25 MSAN: Multi-stage Human Pose Estimation Universal Network Based on Attention Mechanism 25.1 Introduction 25.2 Related Works 25.2.1 Human Pose Estimation 25.2.2 Human Pose Estimation Based on Convolutional Neural Network 25.2.3 Attention Mechanism 25.3 Method 25.3.1 Model Architecture 25.3.2 Backbone Network 25.3.3 Channel Spatial Attention Network 25.3.4 Multi-stage Self-attentive Network 25.3.5 Loss Function 25.4 Experiments 25.4.1 Datasets and Evaluation Indicators 25.4.2 Results 25.5 Conclusion References 26 An Image Matting Algorithm Based on Inception-ResNet-V2 Network 26.1 Introduction 26.2 Related Work 26.3 Matting Model Design 26.3.1 Image Composition 26.3.2 Trimap Generate 26.3.3 Overall Network Model 26.3.4 Model Training 26.4 Experimental Results 26.5 Conclusion References 27 An Improved Image Colorization Algorithm Based on Pix2Pix 27.1 Introduction 27.2 Related Algorithm Theory 27.2.1 Lab Color Space 27.2.2 U-Net 27.2.3 Instance Normalization 27.2.4 Partial Convolution-Based Padding 27.3 Network Structure 27.4 Experiments 27.4.1 Setups and Dataset 27.4.2 Experimental Process and Evaluation Index 27.4.3 Experimental Results and Analysis 27.5 Conclusion References 28 Quality Evaluation Algorithm of Human Video Motion Image Segmentation Based on Visual Perception 28.1 Introduction 28.2 Feature Detection and PR of HVMI 28.2.1 Detection of ECF 28.2.2 Pixel PR Model 28.3 Quality Evaluation of HVMI Segmentation 28.3.1 Blur Feature Extraction of HVMIs 28.3.2 Visual Perception of Image Segmentation 28.4 Experiments Analysis 28.4.1 Data Sets 28.4.2 Evaluation Criteria 28.4.3 Experimental Results 28.5 Conclusions References 29 Target Tracking Method for Human Motion Image Based on Kalman Filtering Algorithm 29.1 Introduction 29.2 Target Tracking Method of Human Motion Image 29.2.1 Human Motion Image Feature Acquisition 29.2.2 Target Feature Recognition Algorithm of Human Motion Image 29.2.3 Realization of Object Tracking in Human Motion Image 29.3 Experimental Results 29.4 Conclusion References 30 Detection and Identification of Lung Cancer Using an Improvised CNN Model: A Novel Approach to Assist Doctors in Diagnosing Lung Cancer 30.1 Introduction 30.2 Related Works 30.3 Proposed Model 30.4 Methodology of the Proposed Model 30.5 Results and Discussions 30.6 Conclusions References 31 Lung Cancer Classification Using Improvised CNN 31.1 Introduction 31.2 Related Works 31.3 Method 31.3.1 Basic Methodology 31.3.2 CSPNet—Cross Stage Partial Network 31.4 Results 31.5 Conclusion References Part V Information Technology and Applications 32 Research on IoT Data Collection Middleware Based on Microservice Architecture 32.1 Introduction 32.2 Related Work 32.2.1 IoT Data Collection Middleware Based on SOA 32.2.2 IoT Data Collection Middleware Based on Microservice Architecture 32.3 Design and Implementation 32.3.1 Overall Architecture 32.3.2 Features of the Main Microservice 32.4 Microservice Component Design 32.4.1 Device Description File 32.4.2 Communication Design Between Microservices 32.4.3 Design of Communication Microservice 32.4.4 Design of Load Balancing 32.4.5 IoT Access Device Capability Evaluation Model 32.5 Experimental Verification 32.5.1 Functional Testing 32.5.2 Testing of IoT Access Device Capability Evaluation Model 32.6 Conclusion References 33 The Daily Tourist Predicting Based on Classification Model 33.1 Introduction 33.2 Data 33.3 Empirical Analysis 33.3.1 Input Variables Determining 33.3.2 Prediction Results Analysis 33.4 Conclusion References 34 Information Asymmetry Simulation of Comprehensive Transparency with Meta Model in a Trader Behavior Environment 34.1 Introduction 34.2 Model Variable Definition 34.2.1 Sample Selection and Data Sources 34.2.2 Variable Definition and Model Building 34.3 Model Parameter Definition 34.3.1 Explanatory Variable 34.3.2 Control Variable 34.3.3 Model Building 34.4 Empirical Analysis 34.4.1 Descriptive Statistical Analysis 34.4.2 Empirical Analysis 34.4.3 Robustness Test 34.5 Conclusion References 35 Implementation of Business Data Sharing Based on Blockchain and Improvement of Consensus Algorithm 35.1 Introduction 35.2 Related Research 35.3 Data-Sharing Model 35.4 PoLe-Pre-Train 35.4.1 Pre-train 35.4.2 Train 35.4.3 Reword 35.4.4 Security Analysis 35.5 Experiment 35.5.1 Experimental Environment 35.5.2 Training Script 35.5.3 Experiment Content 35.6 Conclusion References 36 Knowledge Structure and Research Progress in Mental Workload (MWL) Using CiteSpace Based on Bibliometric Analysis 36.1 Introduction 36.2 Mental Workload Theory 36.3 Materials and Methods 36.3.1 Bibliometric Study of MWL 36.3.2 Web of Science (WoS)-Based Investigation 36.4 Results and Discussion 36.4.1 Document Co-citation Analysis (DCA) 36.4.2 Keyword Co-occurrence Analysis 36.4.3 Hotspots and Emerging Trends of MWL 36.5 Conclusions References 37 Predicting Social Events Using Analyses of Arabic Dailies 37.1 Introduction 37.2 Time Series Newspapers Patterning 37.2.1 Regression Mean Rank Dependency 37.2.2 Modified Thompson Tau Test 37.3 Methodology 37.4 Findings 37.4.1 Parameters Selection 37.5 Discussions and Conclusions References 38 Barrage Sentiment Analysis Based on Snow NLP—An Example of Liu’s Fitness Video 38.1 Introduction 38.2 Related Work 38.2.1 Chinese Bullet Screen 38.2.2 Sentiment Analysis Based on the Sentiment Dictionary 38.3 Data Analysis 38.3.1 Data Crawling and Pre-processing 38.3.2 Sentiment Analysis of Pop-Up Comments 38.3.3 Data Visualization 38.4 Summary References 39 Statistical Analysis of COVID-19 Pandemic Lockdown on Rural Undergraduate Students 39.1 Introduction 39.1.1 Objectives 39.2 Literature Review 39.2.1 Inadequate Familiarity with Digital Technology 39.3 Methodology 39.3.1 Method of Study 39.3.2 Design and Analysis 39.4 Conclusion References 40 Detection of COVID-19 Using SIS-CODE Algorithm 40.1 Introduction 40.2 Literature Review 40.3 Proposed Method 40.3.1 Specimen Image Smoothing (SIS) Algorithm 40.3.2 Coronavirus Detection (CODE) Algorithm 40.4 Results 40.4.1 Discussions 40.5 Conclusions References 41 Nanotechnology and the Application of Information Technology for Sustainable Innovation in Agriculture 41.1 Introduction 41.2 Application of Nanotechnology in the Field of Information Science in Agriculture 41.3 Implementation of Nanoparticles in Agriculture 41.3.1 Nanobiosensors in Agriculture 41.3.2 Encapsulation of Nanotechnology in Agriculture 41.3.3 Nanoherbicides Growth and Monitoring 41.3.4 Nanoparticles in Sustained Agriculture Monitoring 41.4 Application of Metal-Based Nanomaterials 41.4.1 Plant Pest Management and Nano-insecticidal Potential 41.4.2 Nanomaterials as Antimicrobials 41.4.3 Nanofertilizers 41.4.4 Robust Biosensor Networks 41.4.5 Nanotechnology in Diagnosis and Management of Plant Disease 41.4.6 Innovative Drug Administration System 41.4.7 Nanotechnology in Food Technology 41.4.8 Nanopesticides in Agriculture 41.4.9 Delivery of Genes 41.4.10 Targeting Specific Cells 41.4.11 Health and Environmental Concerns Related to Nanoparticles Include 41.5 A Comparative Study of Approaches to Merge Nanomaterials to Various Agricultural Sectors 41.5.1 Constraints in the Field of Nanotechnology 41.6 Challenges Encountered by Nanomaterials Associated with Agriculture 41.7 Conclusion References 42 Implementing Solar Panel Surface Dust Cleaning Innovation Using a Solar Innovation Framework Model 42.1 Introduction 42.2 Theories Addressed in Solar Innovation for Solar Panel Cleaning 42.3 Determinant Factors that Affect the Solar Panel Cleaning Mechanism 42.3.1 Dry Cleaning of Solar Panels 42.3.2 Soap-Less Brushes and Sponges 42.3.3 Parameters Affecting Dust Accumulation 42.4 Methodology in Solar Panel Cleaning Process 42.4.1 Silica Sol: Making of Silica Sol: Different Processes 42.4.2 Properties of Silica Sol 42.5 Conclusions References 43 Quality of Service Analysis in a Fog Computing Network with Breakdown and Vacation Interruption 43.1 Introduction 43.2 Model Description 43.3 Model Resolution 43.4 Conclusion References 44 The Adaptation Process of Multicultural Married Migrant Women’s University Life Culture Based on Grounded Theory 44.1 Introduction 44.2 Theoretical Background 44.3 Research Methodology 44.3.1 Research Design 44.3.2 Respondents of the Study 44.3.3 Reliability of Data 44.3.4 Reliability and Validity of the Study 44.4 Results and Discussion 44.4.1 Causal Condition 44.4.2 Contextual Condition 44.4.3 Central Phenomenon 44.4.4 Interventional Condition 44.4.5 Action/Interaction 44.4.6 Result 44.5 Conclusion References 45 Statistical Data Analysis Method for Factors Affecting Geriatric Nursing Performance of Tertiary Hospital 45.1 Introduction 45.2 Method 45.2.1 Study Design 45.2.2 Sample 45.2.3 Survey Instruments 45.2.4 Data Collection 45.2.5 Ethical Consideration 45.2.6 Data Analysis 45.3 Result 45.3.1 Reliability 45.3.2 Analysis 45.4 Discussion 45.5 Conclusion References Part VI Machine Learning and Deep Learning and Their Applications 46 The Effect of Colored Noise on Self-feedback Chaotic Neural Networks with Legendre Function 46.1 Introduction 46.2 Network Model 46.2.1 Nonlinear Self-feedback Chaotic Neurons 46.2.2 Self-feedback Chaotic Neuron Model with Colored Noise 46.2.3 Self-feedback Chaotic Neural Network Model with Colored Noise 46.3 Comparison and Analysis of the Dynamics of Two Network Models 46.3.1 Nonlinear Self-feedback Chaotic Neurons 46.3.2 Colored Noise Nonlinear Self-feedback Chaotic Neurons 46.4 Application of Self-feedback Transient Chaotic Neural Networks with Legendre Functions and Colored Noise 46.5 Conclusion References 47 Structured Financial Products that Can Hedge Against Drought Risk: Pricing Approach Based on Deep Neural Networks 47.1 Introduction 47.2 Literature Review 47.3 Pricing Strategy 47.3.1 Pricing of Fixed-Income Securities 47.3.2 Pricing of Rainfall Put Barrier Options 47.4 Empirical Process 47.4.1 Weather-Structured Financial Product Design 47.4.2 Pricing of Weather-Structured Financial Products 47.5 Conclusions and Recommendations 47.5.1 Conclusions 47.5.2 Recommendations References 48 Automatic Generation of Ancient Poetry Based on Generative Adversarial Network 48.1 Introduction 48.2 Related Work 48.2.1 Generative Adversarial Network 48.2.2 Sequence Generative Adversarial Network 48.2.3 Long Short-Term Memory 48.2.4 Others 48.2.5 Evaluation Mechanism 48.3 Model 48.3.1 Encoder Model 48.3.2 Decoder Model 48.4 Experiment and Results 48.4.1 Datasets 48.4.2 Experimental Details 48.4.3 Results 48.5 Conclusion References 49 A Factor Analysis and Support Vector Machine Based Method for Studying Life Satisfaction of the Elderly 49.1 Introduction 49.2 Modeling Methods and Data Sources 49.2.1 Factor Analysis 49.2.2 Support Vector Machine (SVM) 49.2.3 Particle Swarm Optimization Parameters 49.2.4 Data Sources 49.3 Results and Discussion 49.3.1 Factor Analysis of Dimensionality Reduction Results 49.3.2 PSO-SVM Results Analysis 49.3.3 Performance Comparison Analysis with Other Models 49.4 Conclusions References 50 Leakage Detection of Water Supply Network Based on Neural Network 50.1 Introduction 50.2 Model Introduction 50.2.1 Method Description 50.2.2 Model Building 50.3 Experiment and Result Analysis 50.3.1 Experimental Environment 50.3.2 Training Super Parameter Setting 50.3.3 Conclusion Analysis 50.4 Conclusion References 51 Recurrent Neural Network Deep Learning Approach for Classifying Early-Stage Malicious Ransomware Malware 51.1 Introduction 51.1.1 Relapse 51.2 Existing System 51.3 Proposed System 51.3.1 Advantages of Proposed System 51.4 Algorithm 51.5 Modules 51.5.1 Exploratory Data Evaluation 51.5.2 Preprocessing 51.5.3 Feature Engineering 51.5.4 Prediction 51.6 Results and Discussions 51.7 Conclusion References 52 Automatic Clustering of Hyperspectral Images Using Quantum Reptile Search Algorithm 52.1 Introduction 52.2 Literature Review 52.3 Important Concepts 52.3.1 Quantum Computing 52.3.2 Reptile Search Algorithm 52.3.3 Correlation-Based Cluster Validity Index (CRI) 52.4 Proposed Methodology 52.4.1 Band Selection 52.4.2 Qubit and Qutrit Reptile Search Algorithm 52.5 Experimental Results 52.6 Discussions and Conclusion References 53 Portfolio Optimization Using Quantum-Inspired Modified Genetic Algorithm 53.1 Introduction 53.2 Motivation and Contributions 53.3 Genetic Algorithm 53.3.1 Arithmetic Crossover 53.3.2 Heuristic Crossover 53.3.3 Limitations of Arithmetic and Heuristic Crossover 53.4 Quantum-Inspired Genetic Algorithm 53.5 Experimental Results and Findings 53.6 Discussions and Conclusion References Part VII Smart Economy and Data Analysis 54 The Impact of Digital Finance on Carbon Emissions Intensity: Evidence from 30 Provinces in China 54.1 Introduction and Literature Review 54.2 Model and Data 54.2.1 Model Design 54.2.2 Variable Descriptions 54.3 Empirical Research 54.3.1 The Changing Characteristics of DF 54.3.2 The Impact of DF on CEI 54.3.3 Robustness Test 54.3.4 Analysis of Heterogeneity 54.4 Conclusions and Policy Recommendations References 55 The Empirical Research of Digital Inclusive Finance on the Coordinated Development of Regional Economy 55.1 Introduction 55.2 Research Design 55.2.1 Research Hypothesis 55.2.2 Variable Selection 55.2.3 Model Methods 55.2.4 Data Sources 55.3 Empirical Analysis 55.3.1 Empirical Analysis of Panel Linear Regression 55.3.2 Empirical Analysis of Nonlinear Threshold Regression 55.4 Conclusions and Implications 55.4.1 Conclusions 55.4.2 Implications References 56 Evaluation of China’s Provincial Digital Economy Development Level in the Post-epidemic Era: Evidence from Chinese 31 Provinces 56.1 Introduction and Literature Review 56.2 Model Construction and Data 56.2.1 Model Construction 56.2.2 Description of Indicators and Data Sources 56.3 Empirical Analysis 56.3.1 Factor Analysis 56.3.2 Cluster Analysis 56.4 Conclusions and Recommendations 56.4.1 Conclusion 56.4.2 Recommendations References 57 Research on the Performance of Targeted Poverty Alleviation from the Perspective of Financial Support Based on 20 Provinces in Central-Western China 57.1 Introduction 57.2 Data Methods 57.2.1 Methodology 57.2.2 Selection of Input–Output Index 57.2.3 Selection of Researching Objects 57.2.4 Data Resource 57.3 Performance Analysis of Targeted Poverty Alleviation Based on the Global Malmquist Index 57.3.1 Analysis of the Results of Comprehensive Efficiency of Targeted Poverty Alleviation in 20 Regions of Central-Western China 57.3.2 Analysis on the Spatial Distribution of TFP in Each Area 57.3.3 Performance Decomposition Index Analysis of Targeted Poverty Alleviation in Each Area of China 57.4 Conclusions and Policy Implications 57.4.1 Conclusions 57.4.2 Policy Implications References 58 Digital Finance, Financing Constraints, and Small and Medium Enterprise Technology Innovation—An Empirical Study Based on SME and GEM Data 58.1 Introduction 58.2 Research Hypothesis 58.2.1 Digital Finance, Financing Constraints on SME Technology Innovation 58.3 Model and Variable Descriptions 58.3.1 Sample Data Sources 58.3.2 Core Variables 58.3.3 Model Construction 58.3.4 Variable Description 58.4 Empirical Analysis 58.4.1 Benchmark Analysis 58.4.2 Mechanism Analysis 58.4.3 Endogeneity Test 58.4.4 Robustness Test 58.4.5 Heterogeneity Analysis 58.5 Conclusions and Recommendations 58.5.1 Conclusions 58.5.2 Recommendations References 59 The Impact of Digital Finance on Financial Industry Agglomeration: Based on Panel Data Research in Jilin Province 59.1 Introduction 59.2 Research Methodology and Data Sources 59.2.1 Research Methodology 59.2.2 Data Sources 59.3 Analysis of Financial Industry Agglomeration Level 59.3.1 Analysis of Location Entropy Value 59.3.2 Spatial Autocorrelation Test 59.4 Analysis of the Relationship Between Digital Finance and Financial Agglomeration in Jilin Province 59.5 Conclusion and Insight References 60 The Impact of Digital Economy Development on Economic Growth: An Empirical Study Based on the Yangtze River Economic Zone 60.1 Introduction 60.2 Calculation and Analysis of the Development of the Digital Economy 60.2.1 Evaluation Index System 60.2.2 Research Method 60.2.3 Measurement Results and Analysis 60.3 Empirical Analysis of Digital Economy on Economic Growth 60.3.1 Model Setting 60.3.2 Variable Selection and Data Description 60.3.3 Empirical Results and Analysis 60.4 Conclusions and Recommendations 60.4.1 Conclusion 60.4.2 Recommendation References 61 An Empirical Study on the Impact of Digital Inclusive Finance on China's Cultural Industry 61.1 Introduction 61.2 Theoretical Analysis 61.3 Variables, Data, and Empirical Models 61.3.1 Variable Selection 61.3.2 Data Description 61.3.3 Establishment of Model 61.4 Empirical Testing and Analysis 61.4.1 Unit Root Test 61.4.2 D Cointegration Test 61.4.3 Linear Regression Analysis 61.5 Conclusions and Recommendations 61.5.1 Government Level Recommendations 61.5.2 Financial Institution Level Recommendations 61.5.3 Cultural Enterprise Level Recommendations References 62 Technical Efficiency Evaluation of Electronic and Communication Equipment Manufacturing Industry: Empirical Analysis Based on Provincial Panel Data of China from 2011 to 2021 62.1 Introduction 62.2 Evaluation Method and Index Design 62.2.1 Evaluation Method 62.2.2 Evaluation Indicators 62.3 Evaluation of Innovation Efficiency 62.3.1 Time Evolution Characteristics of Innovation Performance 62.3.2 Comparative Analysis of Technological Innovation in Each Region 62.4 Conclusions and Suggestions 62.4.1 Conclusion 62.4.2 Suggestions References 63 Systematic Review of Automatic Arabic Text Summarization Techniques 63.1 Introduction 63.1.1 The Architecture of Automatic Text Summarization (ATS) 63.1.2 Why Automatic Arabic Text Summarization (AATS) 63.1.3 About the Survey 63.2 Method 63.2.1 Data Sources and Search Strategy 63.2.2 Data Coding and Quality Assessment 63.2.3 Inclusion and Exclusion Criteria 63.3 Results 63.3.1 RQ1: Problems 63.3.2 RQ2: Datasets 63.3.3 RQ3: Preprocessing 63.3.4 RQ4: Approaches 63.3.5 RQ5: Techniques 63.3.6 RQ6: Outputs 63.3.7 RQ7: Evaluation 63.4 Discussion 63.5 Conclusion References 64 Artificial Intelligence–Internet of Things Enabled Mosquito-Based Diseases Identification Trap 64.1 Introduction 64.2 Literature Study 64.3 Proposed Methodology 64.3.1 Machine Learning (ML) Phase 64.3.2 Internet of Things (IoT) Phase 64.4 Experimental Results and Analysis 64.5 Conclusion and Future Works References Author Index