Proceedings of Innovative Computing 2024, Vol. 3

Name: Proceedings of Innovative Computing 2024, Vol. 3 | Proceedings of The 7th International Conference on Innovative Computing, Vol. 3 (IC 2024)
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Proceedings of The 7th International Conference on Innovative Computing, Vol. 3 (IC 2024)

Yan Pei Hao Shang Ma Yu-Wei Chan Hwa-Young Jeong(Editor)

Springer (Publisher)

1st Edition

Published on 25. June 2024

VIII, 318 pages

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978-981-97-4121-2 (ISBN)

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Dr. Yan Pei was born in Shenyang, China. He obtained Doctor of Engineering at Kyushu University, Fukuoka, Japan. He received the B.Eng. and M.Eng. degrees from Northeastern University, Shenyang, China. He was a software engineer and software projector manager in Chinese and German IT industries for several years before entering academic society. He is currently working at the University of Aizu as an Associate Professor. His research interests include Evolutionary Computation, Machine Learning, and Software Engineering. He serves as chairs and organization committee members in many international conferences sponsored by IEEE, ACM, and other international associations. He is also serving as editors in many international journals. He is a member of IEEE SMC, IEEE CIS and Japanese society for evolutionary computation.

Dr. Hao-Shang Ma received the PhD degree from Institute of Computer and Communication Engineering, National Cheng Kung University in July 2022. Currently, he is an Assistant Professor in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2021, he is the Young Professionals Secretary of the Institution of Engineering and Technology (IET) - Taipei Network. Since April 2023, he is a guest editor of Special Issue of Sensors Journal. His research interests include Artificial Intelligence, Data Mining, Social Network Analysis, Recommender Systems, and Nature Language Processing.

Dr. Yu-Wei Chan received the B.S. and M.S. degrees in information engineering from Tamkang University, Taiwan, in 1997 and 2001, respectively, and the Ph.D. degree in computer science from National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2013. He joined as an Associate Professor with the department of Computer Science and Information Management, Providence University (PU), Taiwan, in February 2016. Currently, he serves as the dean of the department of ComputerScience and Information Management, Providence University (PU). His current research interests include cloud computing, edge computing, deep learning applications, and game theoretic wireless networking.

Dr. Hwa Young Jeong received the MS degree of computer engineering in 1994 and the Ph.D of computer engineering in 2004 from Kyung Hee University, Korea. Currently, he is an assoiate professor in Humanitas College at Kyung Hee University, Seoul, South Korea. He is a member of the Standard Words Committee in Ministry of Information and Communication, Republic of Korea. And he has worked on the editorial board for the journal of Korea Society for Internet Information from 2004. From 1994 to 1999, he worked for Aju System Co., and CNA Research Inc., as a system and software engineer, and he had made GUI(Graphical User Interface) programs to control the semiconductor testing machine which was called IC Test Handler. He was an assistant professor, Dept of E-Business of Yewon Art University in 2000~2005. He has served for many international conferences/workshops as an International Program Committee Chair from 2012 to now. His research area includes design of system software, multimedia system and software, software and application with security, e/u-learning system and so on.

Editor

Yan Pei

Hao Shang Ma

ISNI: 0000 0005 2901 5369

Yu-Wei Chan

Hwa-Young Jeong

Content

Intro
Contents
Design of Noise Reduction Structure of Porous Muffler Based on Ant Colony Algorithm
1 Introduction
2 Related Concepts
2.1 Mathematical Description of the Ant Colony Algorithm
2.2 Selection of Noise Reduction Structure Design Scheme
2.3 Analysis of Noise Reduction Structure Design Scheme
3 Practical Examples of Noise Reduction Structure Design
3.1 Introduction to the Design of Noise Reduction Structure
3.2 Noise Reduction Structure Design
3.3 Noise Reduction Structure Design and Stability
3.4 Rationality of Noise Reduction Structure Design
3.5 The Effectiveness of Noise Reduction Structure Design
4 Conclusion
References
Development and Application of BP Neural Network in the Modern Economic Management System
1 Introduction
2 Basic Concept of BP Neural Network Informatization
3 Application Strategy of Modern Economic Management Based on BP Neural Network Information
3.1 Application Roadmap
3.2 Application Policy
4 Conclusion
References
Dynamic Resource Scheduling Strategy for 5G Network Slicing Based on SDN and NFV Convergence
1 Introduction
2 Related Concepts
2.1 Mathematical Description of SDN and NFV Fusion Methods
2.2 Selection of Scheduling and Deployment Scheme
2.3 Provisioning of Resource Provisioning Schemes
3 Optimized Communication Data for 5G Networks
4 Practical Examples of 4.5G Networks
4.1 Introduction to Power Grid Resource Allocation
4.2 5G Network Situation
4.3 Scheduling Capability and Stability of Resource Provisioning
5 Conclusion
References
Research on the Location of Influencing Factors and Quality Early Warning of Energy Meter Faults Based on Block Chain Technology
1 Introduction
2 Related Concepts
2.1 The Block Chain Technology is Described Mathematically
2.2 Selection of Fault Warning Scheme
2.3 Analysis of Fault Warning Scheme
3 Practical Examples of Fault Warning
3.1 Introduction to the Fault Warning
3.2 Fault Warning
3.3 Fault Warning and Stability
3.4 Rationality of Fault Warning
3.5 Validity of Fault Warning
4 Conclusion
References
Elevator Top Failure Prediction Based on Neural Network
1 Introduction
2 Related Concepts
2.1 The Neural Network Algorithms is Described Mathematically
2.2 Selection of Fault Prediction Scheme
2.3 Analysis of Fault Prediction Scheme
3 Practical Examples of Fault Prediction
3.1 Introduction to the Fault Prediction
3.2 Fault Prediction
3.3 Fault Prediction and Stability
3.4 Rationality of Fault Prediction
3.5 Validity of Fault Prediction
4 Conclusion
References
Financial Management Early Warning Method of Chaotic Particle Swarm Optimization
1 Introduction
2 Related Work
2.1 Discussion on Financial Risk Management
2.2 Neural Network Structure
2.3 Particle Swarm Optimization
3 Chaotic Particle Swarm Optimization Algorithmic Neural Network Financial Management Early Warning Method
4 Conclusion
References
Human Resource Management System Design Based on Data Mining Algorithm
1 Introduction
2 Related Concepts
2.1 Mathematical Description of a Data Mining Algorithm
2.2 Selection of Management System Design Scheme
2.3 Analysis of Management System Design Scheme
3 Optimization Strategies for Managing System Design
4 Practical Examples of Management System Design
4.1 Introduction to the Design of the Management System
4.2 Management System Design
4.3 Management System Design and Stability
4.4 Rationality of Management System Design
4.5 The Effectiveness of the System Design
5 Conclusion
References
Information System Failure Prediction Technology Based on Ansible Automated Operation and Maintenance
1 Introduction
2 Related Concepts
2.1 The Ansible Automates Operations is Described Mathematically
2.2 Selection of Fault Prediction Technology Scheme
2.3 Analysis of Fault Prediction Technology Scheme
3 Fault Prediction Technology Optimization Approach
4 Practical Examples of Fault Prediction Technology
4.1 Introduction to the Fault Prediction Technology
4.2 Fault Prediction Technology
4.3 Fault Prediction Technology and Stability
4.4 Rationality of Fault Prediction Technology
4.5 Validity of Fault Prediction Technology
5 Conclusion
References
Intelligent Analysis and Processing Technology of Financial Big Data Based on Clustering Algorithm
1 Introduction
1.1 Clustering Algorithm
1.2 Financial Data Analysis
2 Research on Intelligent Analysis and Processing Technology of Financial Big Data Based on Clustering Algorithm
3 Simulation Analysis
4 Conclusion
References
Mining Risk Rules in Insurance Business Data Based on SPRINT Classification Algorithm
1 Introduction
2 Related Work
2.1 SPRINT Classification Algorithm
2.2 Risk of Bancassurance Business
3 Mining Risk Rules in Insurance Business Data Based on SPRINT Classification Algorithm
4 Simulation Analysis
5 Conclusion
References
Optimal Simulation Design of IT Mobile Communication Network Based on BP Algorithm
1 Introduction
2 Related Concepts
2.1 The BP Algorithm is Described Mathematically
2.2 Selection of Network Communication Optimization Simulation Design Scheme
2.3 Analysis of Network Communication Optimization Simulation Design Scheme
3 Practical Examples of Network Communication Optimization Simulation Design
3.1 Introduction to the Network Communication Optimization Simulation Design
3.2 Network Communication Optimization Simulation Design
3.3 Network Communication Optimization Simulation Design and Stability
3.4 Rationality of Network Communication Optimization Simulation Design
3.5 Validity of Network Communication Optimization Simulation Design
4 Conclusion
References
Optimization of Computer Network Reliability Based on Genetic Algorithm
1 Introduction
2 Related Work
2.1 Reliability Overview
2.2 Development of Network Reliability Research
3 Computer Network Reliability Optimization Calculation Based on Genetic Algorithm
3.1 Operation Process Analysis of Genetic Algorithm
3.2 Network Reliability Model
4 Conclusion
References
Prediction of Remaining Life of City Gas Pipelines Based on Decision Tree Classification Algorithm
1 Introduction
2 Related Concepts
2.1 Mathematical Description of the Decision Tree Classification Algorithm
2.2 Selection of Safe Operation Treatment Scheme
2.3 Analysis of the Remaining Life Prediction Scheme of Urban Gas Pipeline
3 Practical Case for the Prediction of the Remaining Life of City Gas Pipelines
3.1 Introduction to the Safety Management Of Urban Gas Pipelines
3.2 Prediction of the Remaining Life of City Gas Pipelines
3.3 The Accuracy and Stability of the Decision Tree Classification Algorithm
3.4 Effectiveness of the Decision Tree Classification Algorithm
4 Conclusion
References
Research and Application Implementation of Deep Learning Algorithms Based on Python
1 Introduction
2 Related Concepts
2.1 The Python is Described Mathematically
2.2 Selection of Research and Application Implementation of Algorithms Scheme
2.3 Analysis of Research and Application Implementation of Algorithms Scheme
3 Practical Examples of Research and Application Implementation of Algorithms
3.1 Introduction to the Research and Application Implementation of Algorithms
3.2 Research and Application Implementation of Algorithms
3.3 Research and Application Implementation of Algorithms and Stability
3.4 Rationality of Research and Application Implementation of Algorithms
3.5 Validity of Research and Application Implementation of Algorithms
4 Conclusion
References
Research on Airline Space Control Based on Ant Colony Algorithm
1 Introduction
2 Related Concepts
2.1 The Genetic Algorithm is Described Mathematically
2.2 Selection of Study of Cabin Control Scheme
2.3 Analysis of Study of Cabin Control Scheme
3 Practical Examples of Study of Cabin Control
3.1 Introduction to the Study of Cabin Control
3.2 Study of Cabin Control
3.3 Study of Cabin Control and Stability
3.4 Rationality of Study of Cabin Control
3.5 Validity of Study of Cabin Control
4 Conclusion
References
Research on Database Construction Based on Computer Software is Engineering
1 Introduction
2 Related Concepts
2.1 Mathematical Description of the Neural Network Algorithm
2.2 Choice of Database Construction Scheme
2.3 Analysis of Database Construction Scenarios
3 Practical Examples of Database Construction
3.1 Database Construction Briefing
3.2 Database Build
3.3 Database Construction and Stability
3.4 Rationality of Database Construction
3.5 E. The Effectiveness of the Database Build
4 Conclusion
References
Research on Decision Tree Algorithm for Civil Engineering Structural Vibration
1 Introduction
2 Related Concepts
3 Practical Examples of Structural Vibrations
4 Conclusion
References
Research on Digital Signal Processing Platform Based on VPX Embedded System
1 Introduction
2 Related Concepts
3 Practical Examples of Digital Signal Processing
4 Conclusion
References
Research on Edge Computing Terminal for Low-Power Online Video Streaming Analysis
1 Introduction
2 Related Concepts
3 Practical Examples of Edge Computing Terminal Research
4 Conclusion
References
Research on Enterprise Digital Transformation Under the All-Intelligent Network-Driven Approach
1 Introduction
2 Related Concepts
2.1 Mathematical Description of the Fully Intelligent Network-Driven Method
2.2 Selection of Network-Driven Results
2.3 Analysis of Transformation Results
3 Optimization Strategy of Enterprise Management
4 Practical Cases of Enterprise Management
4.1 Digital Transformation Briefing
4.2 Degree of Digital Transformation
4.3 Accuracy and Stability of Digital Transformation
5 Conclusion
References
Research on Facial Expression Animation Technology Based on K-means Algorithm
1 Introduction
2 Related Concepts
3 Practical Examples of Animation Techniques
4 Conclusion
References
Research on Fault Diagnosis of Converter of Doubly-Fed Wind Power System Based on Deep Learning Algorithm
1 Introduction
2 Related Concepts
3 Practical Examples of Converter Fault Diagnosis
4 Conclusion
References
Research on Fuzzy Learning Algorithm Robot Cooperation Model
1 Introduction
2 Related Work
2.1 Robot Control Structure
3 Fuzzy Algorithm Control Theory
4 Research on Fuzzy Learning Algorithm Robot Cooperation Model
5 Simulation Analysis
6 Conclusion
References
Research on Manufacturing Transformation and Upgrading Optimization Strategy Based on PLS-SEM Model
1 Introduction
2 Related Concepts
3 Real-World Examples of Upgrade Optimization Strategies
4 Conclusion
References
Research on Network Security Application Based on Data Mining Algorithm
1 Introduction
2 Related Concepts
2.1 The Data Mining Algorithms is Described Mathematically
2.2 Selection of Security Applications Scheme
2.3 Analysis of Security Applications Scheme
3 Practical Examples of Security Applications
3.1 Introduction to the Security Applications
3.2 Security Applications
3.3 Security Applications and Stability
3.4 Rationality of Security Applications
3.5 Validity of Security Applications
4 Conclusion
References
Research on Personalized Resource Recommendation Algorithm Based on Computer Deep Learning
1 Introduction
2 Related Concepts
2.1 The Computer Deep Learning is Described Mathematically
2.2 Selection of Resource Recommendation Scheme
2.3 Analysis of Resource Recommendation Scheme
3 Resource Recommendation Optimization Approach
4 Practical Examples of Resource Recommendations
4.1 Introduction to the Resource Recommendation
4.2 Resource Recommendation
4.3 Resource Recommendation and Stability
4.4 Rationality of Resource Recommendation
4.5 Validity of Resource Recommendations
5 Conclusion
References
Research on Power Financial Information Management Based on Big Data
1 Introduction
2 Related Work
2.1 Big Data Era
2.2 Financial Informatization
3 Research on Power Financial Information Management Based on Big Data
4 Conclusion
References
Research on SOC Algorithm of Lithium Ion Battery Based on New Energy Vehicle
1 Introduction
2 Related Work
2.1 Overview of Artificial Neural Network
2.2 Research Status of SOC Estimation Methods and Algorithms
3 Lithium Ion Batteries for New Energy Vehicles
3.1 Working Principle and Classification of Lithium Battery
3.2 Application of Lithium Battery in New Energy Gas Vehicle Industry
4 Analysis of Experimental Results
5 Conclusion
References
Research on Stock Prediction and Stock Selection Method Based on Improved Ant Colony Algorithm
1 Introduction
2 Related Concepts
2.1 Improved Mathematical Description of Ant Colony Algorithms
2.2 Stock Forecast and Selection of Stock Selection Method
2.3 Analysis of Stock Forecasting and Stock Selection Methods
3 Practical Examples of Stock Forecasting and Stock Selection Methods
3.1 Introduction to Stock Forecasting and Stock Selection Methods
3.2 Stock Forecast and Stock Selection Method
3.3 Stock Forecasting and Stock Selection Methods and Stability
3.4 Rationality of Stock Forecasting and Stock Selection Methods
3.5 Effectiveness of Stock Forecasts and Stock Selection Methods
4 Conclusion
References
Research on the Application of Computer Graphics Image Processing Technology
1 Introduction
2 Related Concepts
3 Application of Image Processing TECHNOLOGY OPTIMIZATION Approach
4 Practical Examples of Application of Image Processing Technology
5 Conclusion
References
Research on the Application of Data Mining Algorithm in the Detection of Gas Pipeline Outside
1 Introduction
2 Related Concepts
3 Practical Cases of Gas Pipeline Safety Risk Management
4 Conclusion
References
Research on the Application of Deep Learning Algorithm in Distribution Network Fault Location System
1 Introduction
2 Related Concepts
2.1 The Deep Learning Algorithms is Described Mathematically
2.2 Selection of Application Research of Fault Location System Scheme
2.3 Analysis of Application Research of Fault Location System Scheme
3 Practical Examples of Application Research of Fault Location System
3.1 Introduction to the Application Research of Fault Location System
3.2 Application Research of Fault Location System
3.3 Application Research of Fault Location System and Stability
3.4 Rationality of Application Research of Fault Location System
3.5 Validity of Application Research of Fault Location System
4 Conclusion
References
Research on the Construction of Highway Engineering Cost Prediction Model Based on GA-BP Algorithm
1 Introduction
2 Related Concepts
2.1 The GA-BP Algorithm is Described Mathematically
2.2 Selection of Cost Prediction Model Scheme
2.3 Analysis of Cost Prediction Model Scheme
3 Practical Examples of Cost Prediction Model
3.1 Introduction to the Cost Prediction Model
3.2 Cost Prediction Model
3.3 Cost Prediction Model and Stability
3.4 Rationality of Cost Prediction Model
3.5 Validity of Cost Prediction Model
4 Conclusion
References
Research on the Construction of Service Operation Indicators and Indicator Calculation Methods Based on Artificial Intelligence
1 Introduction
2 Related Concepts
3 Practical Examples of Research on Indicator Construction and Calculation Methods
4 Conclusion
References
Research on the Effectiveness of Hybrid Balance Optimization Algorithm in Fault Diagnosis of Wind Turbines
1 Introduction
2 Related Concepts
3 Practical Examples of Effectiveness Studies in Fault Diagnosis
4 Conclusion
References
Research on the Optimization of Workflow of Flexible Logistics Automatic Unloading Production Line
1 Introduction
2 Related Concepts
3 Practical Examples of Research on Workflow Optimization
4 Conclusion
References
Research on the Terminal Safety Performance Test of Electric Power Informatization Service Application System
1 Introduction
2 Security Evaluation Model of Electric Power Intelligent Terminal
3 Example Calculation
4 Conclusion
References
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Proceedings of Innovative Computing 2024, Vol. 3

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