Intelligent Computing Methodologies : 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III.


De-Shuang. Huang
Bok Engelsk 2022 · Electronic books.
Omfang
1 online resource (927 pages)
Opplysninger
Intro -- Preface -- Organization -- Contents - Part III -- Fuzzy Theory and Algorithms -- An Incremental Approach Based on Hierarchical Classification in Multikernel Fuzzy Rough Sets Under the Variation of Object Set -- 1 Introduction -- 2 An Introduction of Fuzzy Rough Sets -- 3 Multikernel Fuzzy Rough Sets Based on Hierarchical Classifification -- 4 Incremental Updating for Lower and Upper Approximations Under the Variation of Single Object -- 4.1 Immigration of Single Object -- 4.2 Emmigration of Single Object -- 5 Conclusions and Further Research -- References -- A Clustering Method Based on Improved Density Estimation and Shared Nearest Neighbors -- 1 Introduction -- 2 Method -- 2.1 The New Density Estimation Method -- 2.2 A New Allocation Strategy in the Clustering Process -- 3 Experiments -- 3.1 Datasets and Processing -- 3.2 Parameters Selection -- 3.3 Experimental Results -- 4 Conclusion -- References -- Bagging-AdaTSK: An Ensemble Fuzzy Classifier for High-Dimensional Data -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Methodology -- 2.1 AdaTSK Classifier -- 2.2 The Improved Bagging Strategy -- 2.3 Bagging-AdaTSK Classifier -- 2.4 The Computation Complexity of Bagging-AdaTSK Classifier -- 3 Simulation Results -- 3.1 The Classification Performance of Bagging-AdaTSK -- 3.2 Sensitivity of Bagging-AdaTSK to the Overlap Rates -- 4 Conclusion -- References -- Some Results on the Dominance Relation Between Conjunctions and Disjunctions -- 1 Introduction -- 2 Preliminaries -- 3 The Characterization of Conjunctions Dominating All Triangular Conorms -- 4 The Characterization of Disjunctions Weakly Dominating All Triangular Norms -- 5 Conclusion -- References -- Robust Virtual Sensors Design for Linear Systems -- 1 Introduction -- 2 Problem Solution -- 2.1 The Mail Models -- 2.2 ICF-Based Model Design -- 2.3 Observer Design.. - 1 IntroductionIntroduction -- 2 Background -- 3 Methodology -- 3.1 Dataset -- 3.2 Feature Extraction and Machine Learning -- 4 Results and Discussion -- 4.1 Limitations -- 5 Conclusion -- References -- Cross Distance Minimization for Solving the Nearest Point Problem Based on Scaled Convex Hull -- 1 Introduction -- 2 Preliminary on SCH -- 3 The Proposed Method -- 4 Experiments -- 5 Conclusion -- References -- Nut Recognition and Positioning Based on YOLOv5 and RealSense -- 1 Introduction -- 2 Method -- 2.1 The Principle of Positioning Using RealSense -- 2.2 YOLO -- 2.3 Hough Circle Detection -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Gait Identification Using Hip Joint Movement and Deep Machine Learning -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Acquisition Setup -- 2.2 Feature Extraction -- 2.3 Gait Identification Models -- 2.4 The Mode Metric -- 3 Results and Discussion -- 4 Conclusions and Future Directions -- References -- Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Combined Loss Function -- 2.3 Action - Value Method based on Qualification Trace -- 2.4 Activation Function -- 3 Experiments and Discussion -- 3.1 Evaluation metric -- 3.2 Model Parameters -- 3.3 Result of Comparison -- 4 Conclusion -- References -- A Systematic Review of Distributed Deep Learning Frameworks for Big Data -- 1 Introduction -- 2 Research Methodology -- 3 Background -- 3.1 Distributed Deep Learning -- 3.2 Data Parallelism and Model Parallelism -- 3.3 Parameters Update Sharing and Communication -- 3.4 Synchronous and Asynchronous Communication -- 4 Distributed Deep Learning Frameworks -- 4.1 Classification Criteria -- 4.2 Discussion -- 5 Conclusion -- References.. - 2.4 JCF-Based Model Design -- 3 Robust Model Design -- 3.1 ICF-Based Model -- 3.2 JCF-Based Model -- 4 Example -- 5 Conclusion -- References -- Clustering Analysis in the Student Academic Activities on COVID-19 Pandemic in Mexico -- 1 Introduction -- 2 Related Work -- 3 Cluster Model -- 3.1 K-means Algorithm -- 3.2 Linkage Rules -- 4 Experimental Set up -- 4.1 Dataset -- 4.2 K-means Models Performance -- 5 Results and Discussion -- 6 Conclusion -- References -- Application of Stewart Platform as a Haptic Device for Teleoperation of a Mobile Robot -- 1 Introduction -- 2 Admittance Model -- 3 Design Inner Position Control -- 3.1 Dynamic of the Haptic Device -- 3.2 Extended State Observer-Based Estimation for Faults -- 3.3 Inner Position Control for the Haptic Device -- 4 Experiment -- 4.1 The Performance of the Proposed Controller -- 4.2 Teleoperation of a Mobile Robot in the Virtual Environment -- 5 Conclusion -- References -- Geometric Parameters Calibration Method for Multilink Manipulators -- 1 Introduction -- 2 Description of MM Parameter Calibration Method -- 3 Simulation Results -- 4 Conclusions and Discussion -- References -- A Kind of PWM DC Motor Speed Regulation System Based on STM32 with Fuzzy-PID Dual Closed-Loop Control -- 1 Introduction -- 2 System Framework -- 3 Modeling and Analyzing of Dual Closed-Loop -- 3.1 Dual Closed-Loop Control System -- 3.2 Simulation of Motor PID Dual Closed-Loop Model -- 4 Fuzzy-PID Design and Simulation -- 5 Conclusion -- References -- Machine Learning and Data Mining -- Research on Exchange and Management Platform of Enterprise Power Data Uniftcation Summit -- 1 Introduction -- 2 Related Work -- 3 Proposed Architecture -- 3.1 Business Architecture -- 3.2 Application Architecture -- 3.3 Technical Architecture -- 3.4 Data Architecture -- 3.5 Integration Architecture -- 3.6 Security Architecture.. - 3 The LDA Topic Model.. - 4 Conclusion -- References -- Application of Deep Learning Autoencoders as Features Extractor of Diabetic Foot Ulcer Images -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Background of Machine Learning Algorithms -- 3.3 Proposed Machine Learning Model -- 4 Results -- 4.1 Evaluation Metrics -- 4.2 Results -- 5 Conclusion -- References -- MPCNN with Knowledge Augmentation: A Model for Chinese Text Classification -- 1 Introduction -- 1.1 Related Work -- 2 Model -- 2.1 Knowledge Augmentation -- 2.2 Multi-pyramid -- 3 Experiment -- 3.1 Short Text -- 3.2 Long Text -- 4 Conclusion -- References -- An Improved Mobilenetv2 for Rust Detection of Angle Steel Tower Bolts Based on Small Sample Transfer Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Model Framework -- 3 Experimental Analysis -- 3.1 Related Parameter Settings -- 3.2 Loss Function and Evaluation Index -- 3.3 Optimizer Selection -- 3.4 Ablation Experiment -- 3.5 Test Curve -- 3.6 Comparative Experiment -- 3.7 Comparison of Flops in Different Networks -- 4 Conclusion -- References -- Generate Judge-View of Online Dispute Resolution Based on Pretrained-Model Method -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 Model -- 5 Training Method -- 6 Experiment and Result -- 6.1 Dataset -- 6.2 Experimental Setup -- 6.3 Results -- 7 Conclusion -- References -- An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Collection -- 2.2 The Proposed Workflow -- 2.3 Model Selection -- 2.4 Performance Evaluation Metrics -- 3 Result Evaluation -- 3.1 Overall Results -- 3.2 Confusion Matrix -- 4 Conclusion and Discussion -- References -- Comparison of Subjective and Physiological Stress Levels in Home and Office Work Environments.. - Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment -- 1 Introduction -- 2 Related Works and Post Event Analysis Methods -- 3 Post Event Analysis in Practice -- 3.1 Proposed Architecture -- 3.2 Graphical User Interface -- 3.3 Key Components and Capabilities -- 4 Knowledge Accumulation and Leveraging CT -- 5 Conclusions -- References -- Federated Sparse Gaussian Processes -- 1 Introduction -- 2 Related Models -- 3 Federated Sparse Gaussian Processes -- 3.1 FederatedAveraging Algorithm -- 3.2 Prediction -- 4 Experiments -- 5 Conclusion -- References -- Classification of Spoken English Accents Using Deep Learning and Speech Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Preprocessing -- 3 Convolution Neural Network -- 4 Proposed Design -- 5 Results -- 6 Conclusion -- References -- A Stable Community Detection Approach for Large-Scale Complex Networks Based on Improved Label Propagation Algorithm -- 1 Introduction -- 2 Related Work -- 3 Proposed Algorithm -- 3.1 Boundary Nodes Generation -- 3.2 Label Propagation Based on the Number of Common Neighbors and Node Degree -- 4 Experiments -- 4.1 Experimental Environment -- 4.2 Influents of the Parameter -- 4.3 Effectiveness of Initial Boundary Nodes -- 4.4 Community Detection -- 5 Conclusion -- References -- An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks -- 1 Introduction: -- 2 Related Work -- 2.1 License Plate Detection -- 2.2 License Plate Recognition -- 3 Methodology -- 3.1 The Proposed Dataset -- 3.2 Proposed ALPR Method -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Topic Analysis of Public Welfare Microblogs in the Early Period of the COVID-19 Epidemic Based on LDA Model -- 1 Introduction -- 2 Related Work.
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ISBN
9783031138324
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