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Business Intelligence and Information Technology : Proceedings of BIIT 2023 / edited by Aboul Ella Hassanien, Dequan Zheng, Zhijie Zhao, Zhipeng Fan.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Author/Creator:
Hassanien, Aboul Ella.
Contributor:
Zheng, Dequan.
Zhao, Zhijie.
Fan, Zhipeng.
Series:
Smart Innovation, Systems and Technologies, 2190-3026 ; 394
Language:
English
Subjects (All):
Computational intelligence.
Business--Data processing.
Business.
Operations research.
Computational Intelligence.
Business Informatics.
Operations Research and Decision Theory.
Local Subjects:
Computational Intelligence.
Business Informatics.
Operations Research and Decision Theory.
Physical Description:
1 online resource (638 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
This book constitutes the refereed proceedings of the 2023 International Conference on Business Intelligence and Information Technology (BIIT 2023) held in Harbin, China, during December 16–17, 2023. BIIT 2023 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.
Contents:
Intro
Conference Committee
Preface
About This Book
Contents
About the Editors
Part I Automatic Control Technique
1 Extraction of Small Resonance Signals in Strong Same-Frequency Background
1.1 Introduction
1.2 Target Problem
1.2.1 Problem Description
1.2.2 Modeling
1.3 Demodulation
1.3.1 Short-Time Fourier Transform
1.3.2 Continuous Wavelet Transform
1.3.3 Shallow Neural Network
1.4 Discussion
1.5 Conclusion
References
2 Coverage Optimization of WSN Based Upon Improved Salp Swarm Algorithm
2.1 Introduction
2.2 WSN Coverage Model
2.2.1 Improved Salp Swarm Algorithm
2.2.2 Improved Population Initialization of Logistic Mapping
2.2.3 Leader Position Update Improvement Strategy
2.2.4 Follower Position Update Improvement Strategy
2.3 Covering Optimization Algorithm Design
2.4 Simulation Experiment and Analysis
2.4.1 Comparison with ABC
2.4.2 Comparison with IWOA
2.5 Conclusion and Outlook
3 Improved Algorithm of FP-Growth Based on Strong Data Correlation
3.1 Introduction
3.2 FP-Growth Algorithm
3.3 Improved FP-Growth Algorithm
3.4 Experiment and Analysis
3.5 Conclusion
4 Multimodal Vehicle Trajectory Prediction with Stacked Attention
4.1 Introduction
4.2 Target Vehicle Trajectory Prediction
4.2.1 Problem Definition
4.2.2 Predictive Model Framework
4.3 Overall Model
4.3.1 Feature Extraction
4.3.2 Feature Fusion
4.3.3 Trajectory Generation
4.4 Experimental Evaluations
4.4.1 Datasets
4.4.2 Evaluation Metric
4.4.3 Training and Implementation Details
4.4.4 Results
4.5 Conclusion
5 Study on Reactive Power Optimization of Distribution Network Considering the Constraint of the Number of Capacitor Actions
5.1 Introduction
5.2 Reactive Power Optimization Model.
5.3 Recursive Merge Strategy
5.4 Expected Characteristic Network
5.5 Approximate Equivalent Transformation and Solution of the Model
5.5.1 Approximate Equivalent Transformation of the Model
5.5.2 Solution of Equivalent Model
5.6 Solution Steps of the Reactive Power Optimization Model
5.7 Simulation Example
5.8 Conclusion
6 Kinect-Based Dual-Stream Spatiotemporal Convolution Human Behavior Recognition Technology
6.1 Introduction
6.2 Human Skeleton Feature Extraction
6.2.1 Coordinate Acquisition and Transformation of Coordinates
6.2.2 Behavior Feature Extraction of Key Points
6.3 Spatiotemporal Convolution Neural Network
6.3.1 Spatiotemporal Double Flow Neural Network
6.3.2 Improved Spatiotemporal Double Flow Neural Network
6.3.3 Residual Connection
6.3.4 Overall Identification Network Design
6.4 Experiment and Result Analysis
6.4.1 Dataset
6.4.2 Data Training and Experimental Testing
6.4.3 Comparison with Other Methods
6.5 Conclusion
7 Research on Attitude Control Algorithm of Flexible Free-Floating Space Robot System
7.1 Introduction
7.2 Kinematics and Dynamics Modeling
7.3 Controller Design
7.4 Stability Analysis of the SMVS Controller
7.5 Numerical Simulation
7.6 Conclusion
8 Beamforming Antenna Array for Wireless Communications-Based Improved Grey Wolf Optimizer Algorithm
8.1 Introduction
8.2 Objective Function and LAA Array Factor
8.3 Optimization Techniques
8.3.1 Grey Wolf Optimization Algorithm (GWO)
8.3.2 Improved Grey Wolf Optimization Algorithm (I-GWO)
8.4 Optimization Examples
8.4.1 Elements Position Optimization
8.4.2 Computational Complexity
8.5 Conclusion
9 Exploration and Analysis of Seizure Spikes Through Spectral Domain Transformation
9.1 Introduction.
9.2 Related Work
9.3 Methodology
9.3.1 Data Acquisition
9.3.2 Spectral Transformation
9.3.3 EEG Data Analysis
9.4 Experimental Analysis
9.5 Results and Discussion
9.5.1 Magnitude Spectrum Analysis
9.5.2 Frequency Spectrum Analysis
9.5.3 Correlation Analysis
9.6 Conclusion and Future Scope
Part II Business Intelligence and Decision Making
10 Coupling and Coordination Analysis of Big Data and Financial Data in the E-commerce Industry
10.1 Introduction
10.2 Construction of Evaluation Index System
10.2.1 Coupling Coordination Index
10.2.2 Design of Evaluation Index System
10.3 Measurement and Analysis of the Coordinated Development Level of Financial Data and Big Data of E-commerce Enterprises
10.3.1 Data Sources
10.3.2 Construction of the Evaluation Model
10.3.3 Results and Analysis
10.4 Conclusions and Recommendations
10.4.1 Conclusion
10.4.2 Recommendations
11 Research on the Purchase Intention of New Generation Farmers' Internet Financial Products
11.1 Introduction
11.2 Theoretical Framework and Assumptions
11.2.1 Planned Behavior Theory
11.2.2 Research Hypothesis
11.3 Research Methods
11.3.1 Structural Equation Modeling
11.3.2 Questionnaire Design and Data Sources
11.4 Result Analysis
11.4.1 Descriptive Analysis
11.4.2 Reliability and Validity Test
11.4.3 Hypothesis Testing and Discussion of Results
11.5 Conclusions and Countermeasures
11.5.1 Analysis Conclusion
11.5.2 Suggestions
12 WOA-LSTM CSI 500 Forecast Model Based on Baidu Index
12.1 Introduction
12.2 Model Principle
12.2.1 Whale Optimization Algorithm
12.2.2 LSTM Neural Network
12.3 Data Preprocessing
12.3.1 Data Acquisition
12.3.2 Data Preprocessing
12.4 Empirical Analysis.
12.4.1 WOA-LSTM Time Series Forecasting Model
12.4.2 Model Implementation
12.4.3 Evaluation Indicators
12.4.4 Result Analysis
12.5 Conclusion
13 Research on the Synchronous Decision-Making of E-commerce Marketing Under the Influence of Various Factors
13.1 First Section
13.2 Problem Description and Basic Assumptions
13.2.1 Problem Description
13.2.2 Hypothesis
13.2.3 Chaos Web Celebrity E-commerce Marketing System
13.3 Chaos Web Celebrity E-commerce Marketing System with Uncertain Parameters and Input Disturbance and Its Pulse Synchronization Policy
13.4 Example Analysis
13.5 Conclusion
14 A Study on Antitrust Regulation of Platform Economy Based on Evolutionary Game
14.1 Introduction
14.2 Literature Review
14.3 Benchmark Model
14.3.1 Definition of the Game Subject Subsection Sample
14.3.2 Description of the Assumptions and Parameters of the Model
14.4 Game Equilibrium Analysis of Evolving Subjects
14.4.1 Replication of Dynamic Equations
14.4.2 Stability Analysis of Evolutionary Game Models
14.4.3 Analysis of Evolutionary Stabilization Strategies
14.4.4 Simulation and Analysis of Data
14.5 Conclusions and Policy Recommendations
14.5.1 Conclusion
14.5.2 Recommendation
15 A Review of Non-dominating Sorting Algorithms
15.1 Introduction
15.2 Dominance Relation
15.3 Non-dominated Sorting Methods
15.4 Categories of NDS
15.4.1 Categories
15.4.2 Tree-Based NDS
15.4.3 FOO
15.4.4 Labeling and Deleting-Based NDS
15.4.5 Full Objective Sorted List-Based NDS
15.4.6 Divide-and-Conquer-Based NDS
15.5 Conclusion
Part III Digital Economy and Digital Technology
16 The Impact of Digital Finance on China's Regional Innovation Capabilities-A Spatial Autoregressive Model.
16.1 Introduction and Literature Review
16.2 Model and Variable Descriptions
16.2.1 Spatial Autocorrelation Test
16.2.2 Spatial Autoregressive Model
16.2.3 Variable Descriptions
16.3 Empirical Analysis
16.3.1 Spatial Autocorrelation Test
16.3.2 Empirical Results of the SAR Model
16.3.3 Robustness Test
16.3.4 The Analysis of Heterogeneity
16.4 Conclusions and Policy Recommendations
17 The Measurement of the Total Factor Productivity of China's Electronic Commerce Industry Based on Global Malmquist Index Method
17.1 Introduction
17.2 Methodology
17.2.1 Global Malmquist Index Method
17.2.2 Data
17.3 Analysis and Discussion
17.4 Conclusion
18 Evaluation of International Competitiveness of Patent-Intensive Industries Based on AHP-FCE Model
18.1 Introduction
18.2 Construction of an Index System of International Competitiveness for Patent-Intensive Industries
18.2.1 Construction of Primary Evaluation Index System
18.2.2 Principle of Characteristic Root Method for Group Decision-Making
18.2.3 Screening of Key Evaluation Indicators
18.3 Fuzzy Hierarchical Evaluation of International Competitiveness of Patent-Intensive Industries
18.3.1 Principle of Analytic Hierarchy Process
18.3.2 The Basic Principle of the Fuzzy Comprehensive Evaluation Method
18.4 A Fuzzy Comprehensive Evaluation of International Competitiveness of Patent-Intensive Industries
18.4.1 Determination of Evaluation Index Weight by Analytic Hierarchy Process
18.4.2 Fuzzy Comprehensive Evaluation of International Competitiveness of Patent-Intensive Industries
18.5 Conclusions and Recommendations
19 Analysis of the Economic Effects of China-Russia Co-construction of the "Polar Silk Road" Based on the GTAP Model
19.1 Introduction
19.2 GTAP Model Setting.
19.2.1 Introduction of the GTAP Model.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9739-80-2
OCLC:
1453752788

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