Advances in Intelligent Systems and Computing

Name: Advances in Intelligent Systems and Computing | Proceedings of the 7th Euro-China Conference on Intelligent Data Analysis and Applications, May 29-31, 2021, Hangzhou, China
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Proceedings of the 7th Euro-China Conference on Intelligent Data Analysis and Applications, May 29-31, 2021, Hangzhou, China

Jie-Fang Zhang Chien-Ming Chen Shu-Chuan Chu Roumen Kountchev(Herausgeber*in)

Springer (Verlag)

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Erschienen am 22. Februar 2022

XII, 400 Seiten

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Jie-Fang Zhang received the Ph.D. degree in the Institute of Applied Mathematics and Mechanics, Shanghai University, China. Currently, he is a Professor at the Institute of Intelligent Media Technology, Communication University of Zhejiang, China. In the past, he was a professor at Zhejiang Normal University, Jinhua City, Zhejiang Province, China. His research interests include optics communication and Intelligent media technology.

Chien-Ming Chen. received the Ph.D. degree from the National Tsing Hua University, Taiwan. He is currently an Associate Professor with the College of Computer Science and Technology, Shandong University of Science and Technology, Shandong, China. He has published more than 80 SCI-Indexed International journals. He serves as an Associate Editor for IEEE ACCESS and an Executive Editor for the International Journal of Information Computer Security. He is a Senior Member of IEEE. His current research interests include network security, IoT, blockchain and big data.

Shu-Chuan Chu received the Ph.D. degree in 2004 from the School of Computer Science, Engineering and Mathematics, Flinders University of South Australia. She joined Flinders in December 2009 after 9 years at the Cheng Shiu University, Taiwan. She has been the Research Fellow in the College of Science and Engineering of Flinders University, Australia from 2009. Currently, she is the Research Fellow and Ph.D. Supervisor in the College of Computer Science and Engineering of Shandong University of Science and Technology. Her research interests are mainly in Evolutionary Computation, Swarm Intelligence, Wireless Sensor Networks.

Prof. Dr. Roumen Kountchev, D.Sc. is with the Faculty of Telecommunications, Dept. of Radio Communications and Video Technologies - Technical University of Sofia, Bulgaria. He has over 400 papers published in magazines and conference proceedings, 21 books, 50 book chapters; 21 patents. A member of Euro Mediterranean Academy of Arts and Sciences; President of Bulgarian Association for Pattern Recognition (member of IAPR); Editorial board member of IJBST Journal Group; Editorial board member of: Intern. J. of Reasoning-based Intelligent Systems; Intern. J. Broad Research in Artificial Intelligence and Neuroscience, Intern. J. of Computational Vision and Robotics; Intern. J of Intelligent Decision Technologies; Intern. J. of Bio-Medical Informatics and e-Health; Advances in Artificial Intelligence and Machine Learning; KES Focus Group on Intelligent Decision Technologies; Senior Member of Intern. Engineering and Technology Institute. Editor of books in Springer SIST series.

Inhalt

Intro
Preface
Contents
About the Editors
Intelligent Data Analysis
An Integrated System for Unbiased Parkinson's Disease Detection from Handwritten Drawings
1 Introduction
2 Dataset
3 Methods
4 Experiments and Discussion
4.1 Model's Development Using Cross Validation
4.2 Evaluation of Generalization of the Developed Feature Driven Decision Support Systems Using Independent Testing
4.3 Analysis of the Obtained Results
5 Conclusion
References
Improving Supply Chain Agility to Reduce Enterprise Risk Based on QFD-MADM
1 Introduction
2 Research Reviewed
3 Research Methods
4 The Empirical Research
5 Conclusions
References
A CNN-Based Method for AAPL Stock Price Trend Prediction Using Historical Data and Technical Indicators
1 Introduction
2 Related Work
3 Method
3.1 Data and related Processing
3.2 Model Architecture
4 Experimental Results
5 Conclusion
References
Research on Supply Chain Agility Based on Bullwhip Effect
1 Introduction
2 Research Reviewed
3 Research Methods
4 The Empirical Research
5 Conclusions
References
Using Agility to Reduce the Bullwhip Effect of Supply Chains
1 Introduction
2 Literature Review
2.1 Supply Chain Bullwhip Effect
2.2 Supply Chain Agility
3 Methodology
3.1 Methods the Framework
4 Empirical Research
4.1 Questionnaire Design and Collation
4.2 Grey Relation Analysis
5 Conclusion
References
Mining Frequency-Utility Patterns from a Big Data Environment
1 Introduction
2 Related Work
2.1 Skyline
3 Preliminary and Problem Statement
3.1 Preliminaries
3.2 Problem Statement
4 Proposed a MapReduce Framework
4.1 Calculating Phase
4.2 Sorting Phase
4.3 Mining Phase
5 Experimental Results
6 Conclusion and Future Work
References
The Association Between Related-Party Transactions and Tax Planning
1 Introduction
2 Literature Review and Hypothesis Developments
2.1 Background on Related Party Transactions
2.2 Background on Tax Planning
3 Research Design and Empirical Study
4 Empirical Results
5 Additional Analyses
6 Conclusion
References
Mind-Media System: A Consumer-Grade Brain-Computer Interface System for Media Applications
1 Introduction
2 Method and Material
2.1 Hardware Design
2.2 EEG Recognition Method
3 Validation and Discussion
4 Conclusion
References
Artificial Intelligence
A Cooperative Evolution Framework Based on Fish Migration Optimization
1 Introduction
2 Related Works
2.1 Fish Migration Optimization Algorithm
2.2 Cooperative Evolution
3 Proposed CEFMO Algorithm
3.1 Population Evaluation Stage
3.2 Coevolution Stage
4 Simulation Result and Discussion
5 Conclusion
References
Improving K-Means with Harris Hawks Optimization Algorithm
1 Introduction
2 Related Work
2.1 HHO
2.2 K-Means
3 HHO Combined with K-Means
4 HHO Combined with K-Means
4.1 Parameter Configuration
5 Conclusion
References
Weighted Multi-task Sparse Representation Classifier for 3D Face Recognition
1 Introduction
2 Related Work
2.1 Feature Point Extraction
2.2 Covariance Descriptor
2.3 Sparse Representation
3 Proposed Method
3.1 Face Partition
3.2 Multi-task Sparse Representation Classifier
4 Experimental Result
5 Conclusions
References
Multiple Kernel Clustering with Direct Consensus Graph Learning
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Notations
3.2 Direct Consensus Graph Learning
3.3 Optimization
4 Experiments and Analysis
4.1 Datasets and Settings
4.2 Comparison Methods
4.3 Experimental Results
4.4 Parameter Sensitivity
4.5 Convergence Study
5 Conclusion
References
Density Peaks Clustering Algorithm Based on K Nearest Neighbors
1 Introduction
2 DPC Algorithm
3 DPC-KNN Algorithm
3.1 Definition of Local Density
3.2 Design of Allocation Strategy
4 Experimental Results and Analysis
4.1 Data Pre-processing
4.2 Experimental Results of Synthetic Datasets
4.3 Analysis of Experimental Results on Practical Datasets
5 Conclusions
References
Exponential Fine-Tuning Harmony Search Algorithm
1 Introduction
2 Harmony Search Algorithm
3 Exponential Fine Tuning Harmony Search Algorithm
4 Conclusion
References
Computational Intelligences
A Location Gradient Induced Sorting Approach for Multi-objective Optimization
1 Introduction
1.1 Contribution of the Paper
2 Location Gradient Number
3 The LG Number Based Sorting Method
4 Experiment and Results
5 Conclusion
References
Production Line Balance Optimization Based on Improved Imperial Competition Algorithm
1 Introduction
2 Overview of Production Line Balancing Concepts
3 Examples of a Steel Coil Packaging Production Line
4 Production Line Balance Model Construction
4.1 Model Building
5 Balance Design of Coil Production Line Based on Imperial Competition Algorithm
5.1 Algorithm is Introduced
5.2 Algorithm Steps
6 Effect Evaluation After Production Line Optimization
7 Conclusion
References
Research on the Key Resilience Indexes of Logistics Enterprises in Response to Supply Chain Disruption Risks
1 Introduction
2 Literature Review
3 Research Method
4 Case Analysis
5 Conclusions
References
Optimization of Resource Service Composition in Cloud Manufacture Based on Improved Genetic and Ant Colony Algorithm
1 Introduction
2 The Question Raised
3 Model Building
3.1 Service Quality Model
3.2 Treatment of Constraint Indicators
3.3 Objective Function Model
4 Algorithm Design
4.1 Basic Principles
4.2 Algorithm Improvement Strategy
4.3 Algorithm Flow
5 Simulation Examples
6 Conclusion
References
Real-Time Multi-person Multi-camera Tracking Based on Improved Matching Cascade
1 Introduction
2 Related Work
3 Proposed Method
3.1 Overview
3.2 Pedestrian Detection
3.3 Motion Model
3.4 Feature Extraction
3.5 Matching Cascade
4 Experimental Results
5 Conclusions
References
Design and Optimization of the Seat of the Elderly Scooter Based on Solar Energy
1 Introduction
2 Body Size of the Elderly
3 Structural Design
3.1 Curved Design of Backrest and Cushion
3.2 Armrest Height
3.3 Seat Width and Depth
4 Finite Element Model
5 Analysis of Simulation Experiment Results
6 Conclusion
References
Research on Digital Intelligence Enabled Omnimedia Communication System and Implementation Path in 5G Era
1 Introduction
2 Connotation of Omnimedia Communication
3 Research on Omnimedia Communication System Under the Digital Background
4 Digital Intelligence Enabled Omnimedia Communication Implementation Path
5 Research on the Evaluation System of Omnimedia Communication
6 Conclusion
References
Analysis of Interaction Patterns of Intercountry Cooperation and Conflict Events Based on Complex Networks
1 Introduction
2 Data and Network Model
2.1 Introduction of GDELT Event
2.2 Cooperation and Conflict Network Construction
3 Experiment and Analysis
3.1 Network Topology Features
3.2 Network Scale-Free Feature Analysis
3.3 Analysis of Interaction Patterns Between China and 15 Countries
4 Conclusion and Prospect
References
Video, Image, and Others
Application of the Novel Parallel QUasi-Affine TRansformation Evolution in WSN Coverage Optimization
1 Introduction
2 QUasi-Affine TRansformation Evolution
3 The Novel Parallel Quasi-Affine TRansformation Evolution
4 The 3D WSN Coverage Model
5 Experimental Results
5.1 Experimental Results of Different Number of Nodes
5.2 Simulation Experiment of Different Communication Radius
6 Conclusions
References
Parameters Extraction of Solar Cell Using an Improved QUasi-Affine TRansformation Evolution (QUATRE) Algorithm
1 Introduction
2 Related Work
2.1 QUasi-Affine TRansformation Evolution
2.2 Improve QUATRE Algorithm Work
2.3 Double Diode Model of Solar Cell
3 Experiment Analysis
3.1 Experiments on Benchmark Functions
3.2 Parameters Estimation of Double Diode Model
4 Conclusions
References
QUATRE Algorithm for 5G Heterogeneous Network Downlink Power Allocation Problem
1 Introduction
2 QUATRE Algorithm and Its Variants
2.1 QUasi-Affine TRansformation Evolutionary Algorithm
2.2 C-QUATRE Algorithm
2.3 S-QUATRE Algorithm
3 5G Heterogeneous Network Downlink Power Allocation
4 Algorithm Experiment Results
5 Conclusion
References
Reversible Image Watermarking Based on Deep Learning
1 Introduction
2 PEE-Based Reversible Watermarking
3 Proposed Method
3.1 Training of Predictor
3.2 Watermark Embedding and Extracting
4 Experiment
4.1 Prediction Accuracy
4.2 Watermark Embedding Performance
5 Conclusions
References
Image Encryption with Logistic Chaotic Model Using C-QUATRE Algorithm
1 Introduction
2 Related Work
2.1 One-Dimensional Logistic Map
2.2 C-QUATRE Algorithm
3 Image Encryption Scheme Optimized by C-QUATRE
3.1 Image Encryption
3.2 Image Decryption
4 Experiment and Result Analysis
5 Conclusion
References
Visualization of Population Convergence Results by Sammon Mapping in Multi-objective Optimization
1 Introduction
2 Background
2.1 Sammon Mapping
3 Population Projection by Sammon Mapping
3.1 Mapping Setting
3.2 Figure Illustration
4 Conclusion and Future Work
References
A Novel Binary QUasi-Affine TRansformation Evolution (QUATRE) Algorithm and Its Application for Feature Selection
1 Introduction
2 Related Work
2.1 QUasi-Affine TRansformation Evolution
2.2 Binary QUATRE Algorithm Work
3 Feature Selection
3.1 Feature Selection Data Set
3.2 KNN and K-Fold Validation
3.3 Evaluation Standard Fitness Value Function
4 Experiment Analysis
5 Conclusions
References
Networks and Security
On the Security of a Lightweight Three-Factor-Based User Authentication Protocol for Wireless Sensor Networks
1 Introduction
2 Review of Yu et al.'s Protocol
2.1 Pre-deployment Phase
2.2 User Registration Phase
2.3 Login and Authentication Phase
3 Cryptanalysis of Yu et al.'s Scheme
3.1 The Adversary Model
3.2 Known Session-Specific Temporary Information Attacks
4 Conclusion
References
Design and Optimization of the Seat of New Energy Electric Vehicle
1 Introduction
2 Human Body and Human Body Model
2.1 Sitting Position
2.2 Factors of Seat Comfort
2.3 Body Size
3 Backrest and Cushion Surface Optimization
3.1 Backrest Curve Optimization
3.2 Seat Structure Design
4 Finite Element Analysis
4.1 Finite Element Model
4.2 Finite Element Analysis
5 Conclusion
References
Cryptanalysis of an Authentication Protocol for IoT-Enabled Devices in Distributed Cloud Computing Environment
1 Introduction
2 Review of Kang et al.'s Protocol
2.1 Registration Phase
2.2 Login Phase
2.3 Authentication Key Agreement Phase
3 Cryptanalysis of Kang et al.'s Scheme
3.1 The Adversary Model
3.2 Temporary Information Attack of Specific Session
4 Conclusion
References
Copyright Storage Method of Dance Short Video Based on Blockchain
1 Introduction
2 Related Work
3 Dynamic Body Movement Recognition
3.1 Short Dance Video Frame Preprocessing Algorithm
3.2 Dance Pose Estimation Algorithm for Short Video of Dance
4 An Algorithm of Dancing Posture Log File Up Chain
4.1 Data Storage and Architecture Model
5 Conclusion
References
Comments on a Secure and Efficient Three-Factor Authentication Protocol Using Honey List for WSN
1 Introduction
2 Review of Lee et al.'s Protocol
2.1 Registration Phase of Users and Sensors
2.2 Login and Authentication Phase
3 Cryptanalysis of Lee et al.'s Protocol
3.1 Known Session-Specific Temporary Information Exposure Attacks
4 Conclusion
References
Integrating Autonomous Decentralized Communication and Edge Computing for Real-Time Control in IoT System
1 Introduction
2 Proposed Scheme
2.1 Hop-by-Hop Data Transfer in Multihop Communication
2.2 Integrating Edge Computing and Multihop Communication
3 Evaluation
3.1 Experiment Environment
3.2 Latency Evaluation of Hop-by-hop Data Transfer
3.3 Evaluation of Cooperation Between Edge Servers
4 Conclusion
References
Meta-Graph-Based Embedding for Recommendation over Heterogeneous Information Networks
1 Introduction
2 Problem Definition
3 Related Work
4 Problem Definition
5 Framework Of MGBE
5.1 Similarity Generator
5.2 Feature Generator
5.3 Recommendation Model
6 Experiments and Performance Evaluation
6.1 Dataset
6.2 Evaluation Metric
6.3 Baseline Models
6.4 Results
6.5 The Parameter K
7 Conclusion
References
Comments on a Secure AKA Scheme for Multi-server Environments
1 Introduction
2 Review of the Scheme of Ali et al.
2.1 User Registration Phase
2.2 Server Registration Phase
2.3 Login and Key-Establishment Phase
3 Statement of the Problem
3.1 Perfect Forward Secrecy
3.2 Temporary Value Disclosure Attacks
3.3 Off-Line Guessing Attacks
4 Conclusion
References
Author Index

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