3D Imaging-Multidimensional Signal Processing and Deep Learning

Name: 3D Imaging-Multidimensional Signal Processing and Deep Learning | Multidimensional Signals, Video Processing and Applications, Volume 2
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Multidimensional Signals, Video Processing and Applications, Volume 2

Srikanta Patnaik Roumen Kountchev Yonghang Tai Roumiana Kountcheva(Editor)

Springer (Publisher)

Published on 27. April 2023

XIII, 280 pages

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978-981-99-1145-5 (ISBN)

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Dr. Srikanta Patnaik is presently working as Director of International Relation and Publication of SOA University, Bhubaneswar, India. He is a full professor in the Department of Computer Science and Engineering, SOA University. He received his Ph. D. on Computational Intelligence from Jadavpur University, India in 1999. He has supervised more than 25 Ph. D. Theses and 60 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering and has published around 100 research papers in international journals and conference proceedings. He is author of 2 text books and 52 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. He is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and International Journal of Computational Intelligence in Control, published by MUK Publication, Editor of Journal of Information and Communication Convergence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS), which are all Scopus Index journals. He is also Editors-in-chief of Book Series on "Modeling and Optimization in Science and Technology" published from Springer, Germany and Advances in Computer and Electrical Engineering (ACEE) and Advances in Medical Technologies and Clinical Practice (AMTCP), published by IGI Global, USA. Dr. Patnaik is a member of Institute of Electrical and Electronics Engineering (IEEE) and Association for Computing Machinery (ACM), Fellow of IETE, Life Member of ISTE, CSI, and Orissa Information Technology Society (OITS).
Roumen Kountchev, Ph.D., D. Sc. is a professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies at the Technical University of Sofia, Bulgaria. His scientific areas of interest are: digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 420 papers published in magazines and conference proceedings; 20 books; 48 book chapters; 20 patents. At present he is a member of Euro Mediterranean Academy of Arts and Sciences and the President of the Bulgarian Association for Pattern Recognition (member of IAPR). Editor in chief of Intern. Journal of Image Processing and Vision Science. Editorial board member of: Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health, and Intern. Journal Intelligent Decision Technologies; Member of Institute of Data Science and Artificial Intelligence and Intern. Engineering and Technology Institute. He has been a plenary speaker at more than 30 international scientific conferences and symposia and edited several books published in Springer SIST series.

In 2009-2012, Dr. Yonghang Tai studied in Yunnan Normal University and got his bachelor's degree. He received his Ph. D on Computer Science from Deakin University, Melbourne, Australia. He has hosted 4 Fund projects including Deakin University Postgraduate Research Full Scholarship, Yunnan Education Commission, Yunnan Natural Science Foundation, Yunnan Education Commission. He has published more than 30 papers, 5 of which has been indexed by SCI. He is the Co-Editor of International Journal of Telemedicine and Clinical Practices and Machine learning and data analytics. His research interests include VR/AR/MR in surgical simulation, Physic-based rendering, Medical image processing.

Roumiana Kountcheva got her M.Sc. and PhD at the Technical University of Sofia, Bulgaria and in 1992 she got the title Senior Researcher. At present, she is the Vice president of TK Engineering, Sofia. She had postgraduate trainings in Fujitsu and Fanuc, Japan. Her main scientific interests are in image processing, image compression, digital watermarking, pattern recognition, image tensor representation, neural networks, CNC and programmable controllers. She has more than 180 publications and 5 patents. R. Kountcheva was the plenary speaker at 21 international scientific conferences and scientific events. She edited several books published in Springer SIST series and is a member of international organizations: Bulgarian Association for Pattern Recognition, International Research Institute for Economics and Management (IRIEM), the Institute of Data Science and Artificial Intelligence (IDSAI), and is a Honorary Member of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.

Content

Intro
Preface
Contents
About the Editors
1 Prediction Based on Sentiment Analysis and Deep Learning
1.1 First Section
1.2 Benchmark Prediction
1.2.1 Capture Data of Stock Comments from www.guba.eastmoney.com [1]
1.2.2 Build a Model for False News Judgment
1.2.3 Test Stock Comments for False News
1.2.4 Build a Sentiment Classification Model for Stock Comment
1.2.5 Build an Index from the Analysis Results
1.2.6 Capture and Load Data
1.2.7 A Subsection Sample
1.3 Conclusion
References
2 A Survey on Time Series Forecasting
2.1 Introduction
2.2 Traditional Machine Learning-Based Method
2.2.1 Feature Extraction
2.2.2 Feature Selection
2.2.3 Model Training
2.2.4 Rolling Time Series Forecasting
2.3 Deep Learning-Based Method
2.3.1 RNN
2.3.2 LSTM
2.3.3 GRU
2.4 Experiment Results
2.4.1 Machine Learning Results
2.4.2 Deep Learning Results
2.5 Conclusion
References
3 Research and Development of Visual Interactive Performance Test Methods and Equipment for Intelligent Cockpit
3.1 Introduction
3.2 System Overview
3.2.1 Visual Bionic Robot
3.2.2 Main Case of Bionic Robot
3.2.3 Binocular High-Frame Camera
3.2.4 Software
3.3 Head Visual Tracking
3.3.1 Self-Stabilizing Function of the Head
3.3.2 High-Precision Servo Motor
3.3.3 Servo Encoder
3.3.4 Self-Stabilizing PID Algorithm for the Cradle Head
3.3.5 Precision Test of Self-Stabilizing Function of Head
3.4 System Effect
3.5 Conclusion
References
4 Design and Validation of Automated Inspection System Based on 3D Laser Scanning of Rocket Segments
4.1 Introduction
4.2 3D Scanning Measurement Principle
4.2.1 Three-Dimensional Laser Scanning Equipment
4.2.2 Lifting Platform System
4.2.3 Checking Standard Device
4.2.4 Measurement Software Design
4.3 Measurement System Accuracy Verification
4.3.1 Verification of Length Splicing Accuracy
4.3.2 Verification of Geometric Element Detection Accuracy
4.4 Conclusion
4.5 Discussion
References
5 Research and Implementation of Electric Equipment Connectivity Data Analysis Model Based on Graph Database
5.1 Introduction
5.2 Related Work
5.3 Research on the Method and Algorithm of Electric Data Modeling
5.3.1 Electric Data
5.3.2 Electric Data Modeling
5.4 Implementation of Electric Data Model Based on Graph Database
5.4.1 Electric Data Relation Processing
5.4.2 Implementation and Construction of Power Data Model
5.4.3 Electric Equipment Connectivity Analysis Based on Power Grid Data Model
5.5 Application Results
References
6 Improving CXR Self-Supervised Representation by Pretext Task and Cross-Domain Synthetic Data
6.1 Introduction
6.2 Related Works
6.2.1 Overview of CXR Classification
6.2.2 Self-Supervision and Contrastive Learning
6.2.3 Pretext Task and Data Augmentation
6.3 Problem Definition
6.3.1 Contrastive Learning Pretext Task
6.3.2 Supervised Multi-class Linear Evaluation
6.4 Method
6.4.1 Selection of Candidate Transformations
6.4.2 XR-Augment
6.4.3 Pseudo-CXR Generation
6.5 Experiment
6.5.1 Data
6.5.2 Settings
6.5.3 Result and Analysis
6.6 Conclusion and Future Research
References
7 Research on Dynamic Analysis Technology of Quantitative Control Oriented to Characteristics of Power Grid Digital Application Scenarios
7.1 Introduction
7.2 Quantitative Control Dynamic Analysis Technique
7.3 Dynamic Analysis of Quantitative Control of Power Network
7.4 Function Analysis of Power Grid Digitalization Project
7.5 Research on Influencing Factor Set of Target Feature Quantification in Digital Application Scene Based on Expert Scoring Method
7.6 Research on Quantitative Impact Index Set of Digital Application Scene Features Based on Fuzzy Analytic Hierarchy Process
7.7 Dynamic Identification Technology of Quantitative Control Based on Bayesian Network
7.8 Conclusion
References
8 Research on Detection of Fungus Image Based on Graying
8.1 Introduction
8.2 Fungus Image Gray Processing
8.2.1 Graying of Fungus Pictures
8.2.2 Threshold Method
8.2.3 Problems with Testing
8.3 Realization of Single Chip Microcomputer
8.3.1 Selection of Single Chip Microcomputer
8.3.2 Total Process of Single Chip Microcomputer
8.3.3 Selection of Filter
8.3.4 Detection Function Module
8.4 Summary
References
9 Secondary Frequency Regulation Control Strategy of Battery Energy Storage with Improved Consensus Algorithm
9.1 Introduction
9.2 Optimal Control Method of Secondary Frequency
9.2.1 Energy Storage Output Control Structure
9.2.2 Secondary Frequency Modulation Objective Function of Power Grid
9.3 Secondary Frequency Modulation Based on Consistency Algorithm
9.3.1 Iterative Calculation Method of Frequency Response Consistency
9.3.2 Double-Layer Cooperative Control of Secondary Frequency Modulation for Battery Energy Storage
9.4 Simulation Verification
9.5 Conclusions
References
10 Application of Deep Learning for Registration Between SAR and Optical Images
10.1 Introduction
10.2 Methodology
10.2.1 Using CNN for Feature Extraction
10.2.2 Improved Euclidean Distance for Matching
10.3 Experimental Results and Analysis
10.4 Conclusion
References
11 Research on Digital Architecture of Power Grid and Dynamic Analysis Technology of Digital Project
11.1 Introduction
11.2 Enterprise Middle Office Architecture
11.3 Architecture Design of Power Grid Digital Service
11.4 Architecture Design of Power Grid Digitalization Technology
11.5 Midrange Architecture of Power Grid Enterprises
11.6 Dynamic Construction and Calculation of Digital Project Evaluation Index Based on Grid Middle Platform Architecture
11.7 Conclusions
References
12 Research on Characteristics and Architecture Application Technology of Power Grid Digital System
12.1 Introduction
12.2 Enterprise Architecture Theory
12.3 Research on Characteristics of Power Grid Digital System
12.4 Digital Architecture Design of Power Grid
12.5 Technical and Economic Dynamic Analysis of Digital Projects Based on Power Grid Architecture
12.6 Conclusion
References
13 Investigation of Vessel Segmentation by U-Net Based on Numerous Datasets
13.1 Introduction
13.2 Introduction to Deep Learning U-Net Model
13.3 Construction and Training of U-Net Model
13.3.1 Datasets
13.3.2 Data Processing
13.3.3 Evaluation Indexes of the U-Net Model
13.4 Predictive Generation of Fundus Vessel Segmentation Images
13.5 Conclusion
References
14 Design of License Plate Recognition System Based on OpenCV
14.1 Introduction
14.2 Experimental Principle
14.2.1 License Plate Location Method Based on License Plate Color
14.2.2 License Plate Location Method Based on Edge Detection
14.2.3 License Plate Correction Methods
14.2.4 Character Recognition Algorithm Based on Template Matching
14.3 Implementation and Results
14.3.1 License Plate Positioning Based on License Plate Color
14.3.2 License Plate Location Based on License Plate Edge Detection
14.3.3 Character Segmentation Method Based on Projection
14.3.4 SVM-Based Character Recognition Method
14.4 Conclusion
References
15 Traveling Wave Solutions of the Nonlinear Gardner Equation with Variable-Coefficients Arising in Stratified Fluids
15.1 Introduction
15.2 Application of Trial Equation Method
15.3 Exact Solutions of Eq. (15.1)
15.4 Conclusions
References
16 Research on the Construction of Food Safety Standards Training System Based on 3D Virtual Reality Technology
16.1 Introduction
16.2 Main Technologies of Foods Safety Standards Comprehensive Platform
16.2.1 3D Virtual Simulation Technology
16.2.2 Text Mining Technology
16.2.3 Knowledge Mapping Technology
16.3 Design of Foods Safety Standards Comprehensive Platform System
16.4 Functions of Foods Safety Standards Comprehensive Platform System
16.4.1 Foods Safety Standards Human Machine Interaction Question-Answering Subsystem
16.4.2 Intelligent Scene-Specific Foods Safety Standards Training and Implementation Evaluation Subsystem of Foods Safety Supervisors
16.4.3 Intelligent Scene-Specific Foods Safety Standards Training and Implementation Evaluation Subsystem of Foods Practitioners
16.4.4 Foods Safety Standards Knowledge Library Information-Based Management Subsystem
16.5 Conclusions
References
17 Online Fault Diagnosis of Chemical Processes Based on Attention-Enhanced Encoder-Decoder Network
17.1 Introduction
17.2 LSTM Network
17.3 AEDN Method for Sequential Fault Diagnosis
17.4 Case Study on Benchmark Process
17.4.1 TE Process Dataset
17.4.2 Diagnostic Results and Discussion
17.5 Conclusion
References
18 Micro-nano Satellite Novel Spatial Temperature Measurement Method and Experimental Study
18.1 Introduction
18.2 Temperature Measurement Principle on DS18B20
18.3 A New Temperature Measurement Experiment of Micro-nano Satellite
18.3.1 Thermoscope System Design on DS18B20
18.3.2 Design of Temperature Measurement Cable Net
18.3.3 Temperature Measurement Experiment Based on Micro-nano Satellite
18.4 Experimental Results and Analysis
18.5 Conclusions
References
19 Research on Plant Allocation of Sponge City Construction Based on Deep Learning
19.1 Introduction
19.2 Application of Various Plant Landscape Configurations in Sponge Cities
19.2.1 The Role of Plant Landscape in Sponge City
19.2.2 Configuration Mode of Urban Greening Plants
19.3 Index System of Plant Landscape Configuration in Sponge City Based on Deep Learning
19.3.1 Quantification of Plant Color Richness Index
19.3.2 Model Effect Evaluation
19.4 Conclusion
References
20 Research and Application of Interactive Power Distribution Topology Technology for Distributed New Energy
20.1 Introduction
20.2 Quantitative Control Dynamic Analysis Technique
20.3 Power Distribution Topology Function
20.4 Topological Drawing of Power Distribution System
20.5 Functional Framework of Interactive Power Distribution Topology for Distributed New Energy
20.6 Conclusions
References
21 On the Variety of Semilattice-Ordered Semigroup Satisfying X + yxz ~ X
21.1 Introduction and Preliminaries
21.2 Identities Satisfied by SLOS(X + yxz ~ X)
21.3 Three Subvarieties of SLOS(X + yxz ~ X)
21.4 Conclusions
References
22 An Application for Color Feature Recognition from Plant Images
22.1 Introduction
22.2 Experimental Principle
22.3 Experimental Environment
22.4 Data Collection and Testing of Standard Color Cards
22.5 Color Recognition of Plant Images
22.6 Conclusions
References
23 Research Status of Underwater Fishing Equipment Technology
23.1 Preface
23.2 Research Status of Underwater Image Recognition
23.3 Research Status of Kinematic Parameter Identification
23.4 Current Status of Motion Control Research
23.5 Summary
References
24 Research on Network Traffic Classification Method Based on CNN-RNN
24.1 Introduction
24.2 Network Traffic Classification Method
24.2.1 Machine Learning-Based Network Traffic Classification
24.2.2 Deep Learning-Based Network Traffic Classification
24.3 Related Work
24.3.1 Datasets and Preprocessing
24.3.2 Basic Model
24.3.3 Experimental Environment
24.4 Experimental Process
24.5 Conclusion
References
25 Flipped Classroom Teaching Mode in College English Teaching Based on Image Recognition
25.1 Introduction
25.2 IR Techniques and Algorithms
25.2.1 IR Technology
25.2.2 IR Algorithm-CNN Algorithm
25.3 Experimental Research on IR System in College English Teaching
25.3.1 University English FC Teaching Model
25.3.2 Teaching Actions Recognition in English FC
25.3.3 Hardware Platform of FC Behavior Intelligent IR System
25.3.4 IR System Module of FC Teaching Video
25.4 Experimental Analysis
25.4.1 Testing of CNN Model
25.4.2 Analysis of Behavioral Action Recognition in College English FC
25.5 Conclusion
References
26 Computer-Aided Design and Furniture Design Practice Research
26.1 Introduction
26.2 Method
26.2.1 AutoCAD Software
26.2.2 Furniture Design Process
26.3 Result Analysis
26.3.1 System Applications
26.3.2 Development Trend
26.4 Conclusion
References
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3D Imaging-Multidimensional Signal Processing and Deep Learning

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