Advances in Real-Time Intelligent Systems: Real-Time Intelligent Systems 2023 (Lecture Notes in Networks and Systems, 950)

✍ Scribed by Pit Pichappan (editor), Ricardo Rodriguez Jorge (editor), Yao-Liang Chung (editor)

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 370
• Edition: 2024
• Category: Library

✦ Synopsis

The current information society is transitioning to an intelligent society where real-world and real-data applications have a profound influence. Real-time computing has an enormous impact on the future information society. Unimaginable applications have been emerging in real-time applications in the last two years. Logical reasoning and inference-making activities by machines have become a reality. Complex and heterogeneous data are being processed and infused into machine intelligence, bringing machine intelligence equal to human intelligence. Real-time data and real-time intelligence are the crux of the current research. This book of 41 papers in real-time intelligent systems addresses various issues ranging from real-time algorithms to various applications in real-time intelligence. The contributions of this book will mark a significant impact in the near-future research in real-time intelligence.

✦ Table of Contents

Contents
Music Emotion Classification Algorithm Based on Multimodal Deep Learning
1 Introduction
2 Related Work
3 Classification Algorithm Design
3.1 Input Preprocessing
3.2 Multimodal Classification
4 Experimental Design and Analysis
4.1 Experimental Design
4.2 Experimental Results
5 Conclusions
References
Wearable Sensors and Their Application in Urban Landscape Design
1 Introduction
2 Wearable Sensor Related Technologies
2.1 Execution Layer Design
2.2 Sensor Selection
2.3 RTABGMAP Algorithm
3 Experimental Design and Data Analysis
3.1 Mapping Experiment Testing
3.2 Pose Error Testing
4 Conclusion
References
Process Framework for Edge Computing Systems
1 Introduction
2 Related Work
3 Profedge
4 Conclusion
References
The Application of Artificial Intelligence Technology in Dance Teaching
1 Introduction
2 State of the Art
3 Construction of Artificial Intelligence Dance Teaching Technology
3.1 New Digital Dancesport Teaching Framework
3.2 Construction of a Three-Dimensional Model of Human Motion
4 Testing and Analysis of 4 Artificial Intelligence Dance Teaching Systems
4.1 Testing of Artificial Intelligence Dance Teaching System
4.2 Efficiency Analysis of Dynamic Sampling Ray Projection Algorithm
4.3 Analysis of Sports Dance Motion Matching Recognition Rate
5 Conclusions
References
Design of a Cabin English Automatic Broadcasting Detection System Based on Deep Learning
1 Introduction
2 A Deep Confidence Network-Based Automatic Broadcast Detection Model for Crew English
2.1 A Grammar Correction Model for Crew English Broadcasting Based on Deep Confidence Network
2.2 Framework and Functional Design of the English Broadcasting Detection System
3 Data Analysis
4 Conclusions
References
Application of Improved Clustering Algorithms in Modern Education Technology’s Blended Learning
1 Introduction
2 Related Literature
3 K-Means Clustering Algorithm
3.1 Clustering Algorithm
3.2 K-Means Operation Steps of Clustering Algorithm
4 Experiment Design and Analysis
4.1 Experiment Design
4.2 Experiment Results Analysis
5 Conclusions
References
An IoT Blockchain to Improve the Traceability on Agri-Food Applications
1 Introduction
2 Methods
2.1 System Architecture
2.2 Dual Storage Model and Protection Solution for Privacy
2.3 Chain Storage
2.4 Off-Chain Storage
2.5 Sequence of Operations
2.6 Design of Smart Contracts
3 Results
3.1 Implementation Details
3.2 Cost Analysis
3.3 Performance Analysis
3.4 Security Analysis
4 Conclusions
References
Process Analysis of Depression Expression and Action Changes and Their Psychological Integration Based on Deep Learning Algorithms
1 Introduction
2 Depression User Model Technology Based on Deep Learning
2.1 Calculating Expression Entropy Based on Deep Learning Algorithms
2.2 Human Pose Estimation Algorithm Based on Deep Learning
2.3 Model Construction
3 Experiments and Result Analysis
3.1 Experimental Data
3.2 Experimental Result
4 Conclusions
References
Moderating the Role of Real-Time Intelligence Systems in the Relationship Between Emotional Intelligence and Employee Performance
1 Introduction
2 Previous Research
3 Research Issue
4 Methods
5 Findings
5.1 Demographic Profile of the Expatriates
5.2 Emotional Intelligence of Expatriates
5.3 Impact of Emotional Intelligence on Employee Performance
5.4 Structural Relationship
5.5 Moderating the Role of Real-Time Intelligence Systems on the Relationship Between Emotional Intelligence and Employee Performance
6 Conclusion
References
Optimization of Logistics Distribution Route Based on Improved Genetic Algorithm
1 Introduction
2 Background of the Study
3 Construction of Logistics Distribution Path Based on Improved Genetic Algorithm
3.1 Establishment of Mathematical Model
3.2 Genetic Algorithm and Its Improvement
4 Experimental Design and Performance Analysis
4.1 Experimental Design
5 Conclusions
References
Carrier Adjustment Algorithm for Mobile Communication Network Based on Deep Reinforcement Learning
1 Introduction
2 Mobile Communication Network Carrier Adjustment Algorithm
2.1 Carrier Adjustment System Model
2.2 Reinforcement Learning Design
3 Experimental Procedure and Analysis
3.1 Experimental Procedure
3.2 Design Performance
4 Conclusion
References
Diabetic Retinopathy Detection Using Amalgamated Deep Learning Algorithm
1 Introduction
2 Related Work
3 DR Detection with Convolution Neural Network
3.1 Image Preprocessing
3.2 Local Maximum Area Retrieval
3.3 Cross-Sectional Scanning
3.4 Peak Identification and Important MA Attribute Calculation
3.5 Feature Set and Classification
4 Performance Evaluation
4.1 Experimental Images
4.2 Performance Metrics
4.3 Performance Analysis
5 Conclusion
References
Evaluation Method of College Students’ Education Based on Artificial Neural Networks
1 Introduction
2 Related Literature
3 The Construction of the Political Education Evaluation Model
3.1 Construction of Evaluation Index System for the Political Education
3.2 Education Evaluation Model Based on ANN Technology
4 Experimental Testing and Analysis
4.1 Testing Data Preparation
4.2 Testing Results and Analysis
5 Conclusions
References
Research on Intelligent Algorithm-Based Swimming Athlete Pose Recognition and Correction Method
1 Introduction
2 Swimmer Pose Recognition Correction Method
2.1 Principles of Athlete Posture Recognition and Correction
2.2 Swimming Athlete Pose Recognition and Correction Based on Depth Image Skeleton Tracking
2.3 Improvement of SIFT Image Recognition Algorithm Combined with Kalman Predictor
3 Experimental Design and Results Analysis
3.1 Motion Blur Image Restoration
3.2 Image Recognition Performance
4 Conclusions
References
Study on a Web-Based Remote Classroom English Writing Practice System Using Intelligent Model
1 Introduction
2 Literature Review
3 Material and Method
4 Results
5 Conclusion
References
Coordination Training and Testing of Upper and Lower Limbs in Aerobics Under Neural Networks
1 Introduction
2 Related Work
3 Material and Method
3.1 Model Stability Function
3.2 Video Image Preprocessing
3.3 Preprocessing of Neural Network Module
3.4 Neural Network Algorithm (DBN) Flowchart
4 Results
4.1 Experimental Design
4.2 Experimental Results Analysis
5 Conclusions
References
Vocal Melody Extraction Based on Sparse Autoencoding Neural Networks
1 Introduction
2 Current Status
3 Principles of Vocal Melody Extraction Algorithm
3.1 Signal Preprocessing
3.2 Note Segmentation and Voiced Segment Detection
3.3 Multiple Fundamental Frequency Estimation
3.4 Singing Melody Discrimination
4 Experimental Design and Result Analysis
4.1 Fundamental Frequency Discrimination Model Training and Testing
4.2 Music Main Melody Extraction Experiment
5 Conclusions
References
Football Players’ Physical Parameter Simulation Training Based on AI Intelligent Simulation
1 Introduction
2 Related Work
3 Material and Method
3.1 System Structure
3.2 High-Definition Perception Interaction Subsystem Construction
3.3 Model Calculation Subsystem Based on Athlete Training
4 Experimental Design and Results Analysis
4.1 Statistical Data Sampling for the Evaluation of Soccer Players’ Physical Fitness
4.2 Simulation Test Analysis
5 Conclusion
References
Total Cost of Ownership Optimization for ERP System Implementation Project Using Advanced Technologies
1 Introduction
2 Research Methodology
3 TCO Optimization
3.1 Hidden Costs
3.2 Technologies for Cost Optimization
4 Conclusion
References
Design of Neural Network-Based Intelligent Robot-Assisted English Translation System
1 Introduction
2 Related Work
3 Proposed Method
4 Result Analysis and Discussion
5 Conclusion
References
English Language Translation Machine System Based on Human-Computer Interaction
1 Introduction
2 Related Work
3 Design of Human-Computer Interaction Enhancement Algorithm
4 Performance and Data Analysis
5 Conclusion
References
Early Warning of Subjective Perception of Students Based on Big Data Analysis Techniques in Growth Environment
1 Introduction
2 Related Work
3 Big Data Classification Model Based on SSPO Algorithm
3.1 Feature Fusion
3.2 Spark Architecture for Big Data Classification
3.3 Data Partitioning Using DFC
4 Implementation and Result Analysis
5 Conclusion
References
Overall Impeller Numerical Control Machining Technology Based on SA-PSO Hybrid Algorithm
1 Introduction
2 Background Study
3 SA-PSO Hybrid Algorithm Model
4 Implementation and Results
4.1 Experimental Design
4.2 Experimental Result Analysis
5 Conclusion
References
The Application of Convolutional Neural Network-Based Biological Radar Signal Classification Algorithm in Multi-target Vital Sign Detection
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Convolutional Neural Network
3.2 Radar Preprocessing Techniques
3.3 Multi-target Extraction Algorithm
4 Experimental Design and Result Analysis
4.1 Multi-target Radar Measurement Experiment Design
4.2 Experimental Result Analysis
5 Conclusion
References
Mining and Analysis of Multidimensional Information in Big Multimedia Data Using Association Rule Mapping Model
1 Introduction
2 Background of the Study
3 Association Rule Mapping Model Based on Multidimensional Data Mining Technology
3.1 Rule Mapping in the Dataset
3.2 In-Depth Exploration of Multidimensional Data Set Characteristics
4 Association Rule Algorithm Experimental Verification
4.1 Experimental Conditions and Data Source: Laboratory Environment and Data Source
4.2 Experimental Results
5 Conclusion
References
Building a Credit Evaluation Model for C2C E-commerce Websites Under the Guidance of Decision Trees
1 Introduction
2 Related Literature
3 Decision Tree Architecture
4 Evaluation and Results
5 Conclusion
References
Research on Corporate Financial Risk Warning Based on Gray BP Neural Network
1 Introduction
2 Related Work
3 Construction of Enterprise Financial Risk Early Warning Model Based on Grey BP Neural Network
3.1 Overview of Related Principles
3.2 Model Building Ideas Based on Grey BP Neural Network
3.3 Selection of Initial Parameters
4 Experimental Design and Result Analysis
4.1 Experimental Design
4.2 Experimental Results and Analysis
5 Conclusions
References
A Convolutional Neural Network Based Real Time Fingerprint Recognition for Attendance Monitoring
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Data Preprocessing
3.3 FingerAttend-Net (Proposed CNN Model)
4 Implementation
4.1 Real Time Implementation
4.2 Software Environment
5 Experiments
6 Performance Metrics
7 Results and Discussions
7.1 Hyperparameter Tuning
7.2 Comparison with Other ML Models
8 Conclusion
References
Research on Improved Two-Level Multi-objective Optimization Model Based on TOPSIS
1 Introduction
2 Background of the Study
3 Description of Improved Two-Level Multi-objective Optimization Algorithm Based on TOPSIS
3.1 Problem Statement
3.2 Two-Level Multi-objective Optimization Algorithm Using TOPSIS Technique
3.3 Entropy Weight Coefficient Model Based on TOPSIS Comprehensive Analysis Model
4 Experimental Design and Results
4.1 Experimental Design
4.2 Experimental Results and Analysis
5 Conclusions
References
Scientific Training Model for Table Tennis Players Based on Artificial Neural Network Algorithm
1 Introduction
2 Related Work
3 Artificial Neural Network Model
3.1 Artificial Neural Network
3.2 LSTM Algorithm
3.3 Optimized LM Neural Network Algorithm
4 Experimental Design and Analysis
4.1 Experimental Design
4.2 Experimental Result Analysis
5 Conclusions
References
The Economic Benefits Evaluation Index System of Enterprise E-commerce Websites Using Intelligent Genetic Algorithm
1 Introduction
2 State of the Art
3 Intelligent Genetic Algorithm Technology
3.1 Basic Theory of Fuzzy Genetic Algorithm
3.2 Operation of Intelligent Genetic Algorithm
3.3 Genetic Algorithm-Based Rule Integration Prediction Model
4 Experimental Design and Result Analysis
4.1 Sample Selection
4.2 Model Solving and Analysis
5 Conclusions
References
Towards an Autonomous Response System. Case: Denial of Service Attacks
1 Introduction
2 AIDS: Towards an Autonomous Intrusion Response System
3 Results and Discussion
3.1 Experiment #1
4 Conclusions and Future Work
References
Research on Machine Vision Optical Component Surface Defect Anomaly Detection System
1 Introduction
2 Related Work
3 Optical Component Surface Defect Detection System Design and Related Technologies
3.1 Overall Design Scheme of Surface Defect Detection System
3.2 Light Source and Illumination Module Design
3.3 Standardization of Surface Defect Feature Parameters
4 Experimental Design and Analysis
4.1 Experimental Design
4.2 Experimental Results Analysis
5 Conclusions
References
Table Tennis Teaching 3D Model Based on Hierarchical Clustering Intelligent Algorithm
1 Introduction
2 Background of the Study
3 Layered Clustering Intelligent Algorithm
3.1 The Core Concept of the Layer Algorithm is Layering
3.2 Adopting New Methods to Optimize the Implementation Process of the Algorithm
4 Experimental Design and Result Analysis
4.1 Experimental Design
4.2 Analysis of Experimental Results
5 Conclusions
References
The Innovation Design System for Traditional Embroidery Patterns Based on the Linear Classifier-Type Intelligent Algorithm Model
1 Introduction
2 Related Work
3 Based on Computer Linear Classifier Class Intelligent Algorithm Model
4 Experimental Design and Analysis
5 Conclusions
References
Virtual Reality Technology-Based System for Physical Education Teaching
1 Introduction
2 Related Work
3 Application of Classification Algorithm Design in Sports Intelligence Systems
4 Experimental Design and Analysis
5 Conclusions
References
Ontology-Driven Approach for Knowledge Discovery in Academic Databases
1 Introduction
2 Related Work
2.1 Traditional Approaches to Knowledge Discovery in Academic Databases
2.2 Role of Ontologies in Knowledge Representation and Discovery
2.3 Challenges and Opportunities in Enhancing Accuracy, Interpretability, and Usability
3 Ontology-Driven Knowledge Discovery Process
3.1 Integration of Ontologies into Academic Databases
3.2 Establishing Semantic Links for Precise and Logical Queries
3.3 Leveraging Ontologies for Identifying Hidden Patterns and Relationships
3.4 The Role of Ontology Concepts and Relationships in Knowledge Representation
4 Techniques for Enhancing Usability via Visualisation
4.1 Importance of Visualisation in the Process of Knowledge Discovery
4.2 Integration of Visualisation Techniques into the Ontology-Driven Framework
4.3 Illustrating the Enhancing Effects of Visualisation on Interpretability
5 Case Studies and Examples
5.1 Selection of Academic Databases for Case Studies
6 Discussions
6.1 Evaluation of the Effectiveness of the Ontology-Driven Approach
6.2 Implications for Evidence-Based Decision-Making in the Academic Context
6.3 Prospects of Facilitating Collaborative Endeavours and Advancing the Academic Domain
6.4 Mitigating Challenges and Overcoming Limitations
7 Conclusion and Future Directions
References
Research on Gaussian Mixture Computational Learning Mode Based on MOOC Online Education
1 Introduction
2 Research Progress
3 Material and Methods
3.1 Introduction to the Finite Mixture Gaussian Background Model
3.2 Introduction to EM Algorithm
4 Results
4.1 Experimental Design
4.2 Analysis
5 Conclusions
References
Teaching Innovation of Courses in Universities Under the Empowerment of Big Data Mining Algorithms
1 Introduction
2 Related Literature
3 Material and Method
3.1 Flowchart of the Relationship Between Professors and Learners
3.2 System Stability and Variable Formulas
3.3 Formula of Big Data Mining Algorithm
4 Results
4.1 Experimental Design
4.2 Analysis of Results
5 Conclusions
References
Dynamic Prediction Model of News Communication and Advertising Planning Based on AI Gradient Descent Intelligent Algorithm
1 Introduction
2 Background Study
3 Material and Method
3.1 Training Model Framework
3.2 Pooling Structure Algorithm
3.3 Prediction of News Popularity
3.4 Classification Algorithm
4 Results
4.1 Experimental Design
4.2 Experimental Results
5 Conclusions
References
Research on Scientific Training Model of Basketball Tactics Based on Swarm Intelligence Algorithm
1 Introduction
2 Background Study
3 Material and Method
3.1 The Radial Basis Function Neural Network has the Following Structure and Working Principles
3.2 Widely Used Learning Algorithm in RBF Networks
3.3 RBFNN Technology Provides a New Recognizer Model
4 Results
4.1 Experiment Design
4.2 Result Analysis
5 Conclusions
References
Author Index