ENGLISH

Machine Learning and Mechanics Based Soft Computing Applications

Book information

Publisher
Springer
Year
2023
ISBN
9811964491, 9789811964497
Language
english
Format
PDF
Filesize
9 MB (9941922 bytes)
Series
Studies in Computational Intelligence, 1068
Pages
322\322
Time added
2023-03-03 02:29:41

Description

This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work.  The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications.  With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas. ​ Preface Contents Threshold Text Classification with Kullback–Leibler Divergence Approach 1 Introduction 2 Automatic Keyword Extraction Using Various Thresholds 2.1 Techniques for Word Segmentation 2.2 Automatic Keyword Extraction 2.3 The Method to Identify the Thresholds in a Text 3 Divergence Approach Using Kullback–Leibler Algorithm 3.1 Text Classification with Thresholds 3.2 Divergence Approach with Kullback–Leibler Method 3.3 Text Classification Using the Thresholds 4 Result and Discussion 4.1 Dataset 4.2 Experimental Results 4.3 Discussion 5 Conclusion References Cellular Automata-Based Simulation Model for Water Quality Management of Pangasius Ponds 1 Introduction 2 Technical Regulations and Water Quality Factors 2.1 Technical Regulations 2.2 Water Quality Factors 3 The Proposed Models for Monitoring Water Quality Management 3.1 Cellular Automata-Based Simulation Model for Water Quality Management 3.2 CA-Based Simulation Model of Temperature 3.3 CA-Based Simulation Model of Dissolved Oxygen 3.4 CA-Based Simulation Model of pH 4 Experiments 4.1 Water Quality Management Simulation Tool 4.2 Experimental Data 4.3 Scenario 1: Simulating the Water Quality After the First Feeding 4.4 Scenario 2: Simulating the Water Quality at Noon 5 Conclusions References Heuristic Methods Solving Markowitz Mean-Variance Portfolio Optimization Problem 1 Introduction 1.1 Cardinality Constraints and Bounding on Variables 2 Related Work 3 Genetic and Heuristic Branching Algorithm 3.1 Genetic Algorithm 3.2 Heuristic Branching 4 Numerical Results 5 Conclusion and Future Work References Context-Based and Collaboration-Based Product Recommendation Approaches for a Clothes Online Sale System 1 Introduction 2 Related Work 2.1 Related Work on Text Vectorization 2.2 Related Work on the Algorithm for Matrix Factorization 3 The Proposed Method 3.1 Data Description 3.2 Data Preprocessing 3.3 Algorithm and Trained Model and Predict Customer Reviews 3.4 Model Evaluation 4 Experimental Results 4.1 Text Vectorization Methods 4.2 Recommended Methods 5 Conclusion References A Cost-Effective Control System of the Biogas-Based Electrical Generator 1 Introduction 2 System Description 3 Control System Development 4 Experimental Results 4.1 Case Study 1 4.2 Case Study 2 4.3 Case Study 3 5 Conclusions References Parallel, Distributed Model Checking of Composite Web Services with Integrated Choreography and Orchestration 1 Introduction 1.1 Web-Service Choreography, Orchestration, State-Space Explosion and Scalability of Peers 1.2 Top–Down and Bottom–Up Approaches and Synchronizable Conversations 1.3 Related Work 2 The Computational Model of Sum Machine 2.1 What is the Idea Behind Sum Machine as Opposed to Traditional Product Machine? 2.2 The BPEL-Transformed CFSMs Specification 2.3 The Simulation of CFSMs into a Novel Sum Machine as Opposed to Traditional Product Machine 2.4 Minimal-Prefix Vectors of CMPM States 2.5 Sequence, Conflict/Choice and Concurrency Among States of Sum Machine 2.6 Sum Machine Simulates Product Machine 3 The Specification Language CDTL over Sum Machine for Specifying Web-Service Properties 4 Model-Checking Case Study of Fresh Market Update (FMU) Service and Virtual Travel Agent (VTA) Protocol Using Sum Machine and CDTL Logic 4.1 Orchestration Along with Choreography in Model Checking 4.2 Discussion of Model-Checking Complexity 5 Conclusions References An Application of Logistic Regression Model in the Student's Academic Performance at HUST, Vietnam 1 Introduction 2 Logistic Regression Model 3 Research Scope 4 The Data 5 Data Analysis Methods 6 Forecast Results 7 Conclusion References Soft Robotics-Fingered Hand Based on Working Principle of Asymmetric Soft Actuator 1 Introduction 2 Principle and Design of Soft-Fingered Hand 3 Fabrication 4 Simulation and Preliminary Gripping Test 5 Conclusion References Control Design for 400Hz Ground Power Unit 1 Introduction 2 GPU Model 2.1 Inverter Topology 2.2 State-Space Model and Transfer Function of the GPU 3 Digital Resonant Controller Design 3.1 Discrete Model of Resonant Controller 4 A Case Study 4.1 The GPU Parameters 4.2 Experiment Results 5 Conclusion References Rapid Design of Square-Spiral Metamaterial for Enhanced Wireless Power Transfer Applications Using Artificial Neural Networks 1 Introduction 2 Design 3 Result and Discussion 4 Conclusion References GIS and RS Application for Land Use Status Quo Mapping in 2020 and Land Use Change Assessing in Thu Dau Mot City 1 Introduction 2 Data, Research Process and Method 2.1 Data and Tool 2.2 Research Process and Method 3 Results and Discussions 3.1 Land Use Status Quo Map of Thu Dau Mot City 3.2 Reality of Agricultural Land 3.3 Reality of Non-agricultural Land 3.4 Land Use Changes in the Period of 2015–2020 4 Conclusion References Particle Swarm Optimization for Acceleration Tracking Control of an Actuator System 1 Introduction 2 Formula Problem and Control Strategy 3 Numerical Simulation 4 Conclusion References Count the Number of Steel Bars Based on Deep Learning 1 Introduction 2 Method 2.1 Object Detection Problem Setting 2.2 Network Architecture 3 Dataset 3.1 Data Gathering and Labeling 3.2 Data Augmentation 4 Result and Future Work References Hybrid SARIMA—GRU Model Based on STL for Forecasting Water Level in Red River North Vietnam 1 Introduction 2 Related Works 3 Methodology 3.1 SARIMA 3.2 Gated Recurrent Unit—GRU 3.3 STL Trend-Seasonal Decompose 3.4 Proposed Model: Hybrid SARIMA-GRU with STL Model 4 Application 4.1 Data and Area 4.2 Criteria for Comparison 4.3 Results from the Daily Inflow via the Reservoir at the Viet Tri Station Dataset 5 Conclusion References Activity-Based Learning: An Analysis to Teach Learners Using Online Methodologies 1 Introduction 2 Review of Literature 3 Concept of Online Activity-Based Learning 4 Effectiveness 5 Advantages and Limitations 6 Challenges Faced Due to Activity-Based Online Learning 7 Conclusion References Use of a Fatigue Framework to Adopt a New Normalization Strategy for Deep Learning-Based Augmentation 1 Introduction 2 Review of Literature 3 Dataset 4 Results 5 Conclusion 6 Future Work References An Innovative and Smart Agriculture Platform for Improving the Coffee Value Chain and Supply Chain 1 Introduction 2 Development of an Innovative and Smart Agriculture Platform 2.1 Data Type, Sources, and Collections for Development the INNSA Platform 2.2 Data Analysis and Collections for the INNSA Platform 2.3 The Proposed Models for the INNSA Platform 2.4 A General Workflow of the INNSA Platform 3 Summary and Conclusions References Complex Shear Imaging Based on Signal Processing and Machine Learning Algorithms 1 Introduction 2 Working Principles 3 Complex Shear Wave Modulus Estimation 3.1 Kelvin–Voigt Model 3.2 Propagation of Shear Wave 3.3 Signal Improvement Using Our Proposed Approach 3.4 Two-Dimension CSM Imaging Using NLMS/AHI Algorithm 3.5 Simulation and Results 4 Classification of Soft Tissues 5 Conclusion References Breast Cancer Detection Based on UWB Dataset and Machine Learning 1 Introduction 2 Related Work 3 Methodology and Tumor Dataset Creation 4 Machine-Learning Classification 4.1 Data Preprocessing 4.2 Feature Extraction and Selection 4.3 Classification Algorithms 5 Result and Discussion 6 Conclusion References A Review of Mathematical Methods for Flexible Robot Dynamics Modeling and Simulation 1 Introduction 2 A Literature Review of Flexible Robot Modeling and Control 3 Conclusion References Digital Twins of Robotic Systems: Increasing Capability for Industrial Applications 1 Introduction 2 Related Works 2.1 Proposed Framework 2.2 Virtual Environment 3 Approach: Digital Twin of Joint Angle of Robot Arm 3.1 Compare Inverse Kinematics Between the Construction Algorithm and Robot Studio 3.2 Build a PID Controller 3.3 Two-Way Data Transfer Between Real and Virtual Models 4 Experiences and Results 4.1 Compare the Forward Kinematics Between the Construction Algorithm and Robot Studio 4.2 Error and Latency 4.3 Data Storage 4.4 Results 5 Conclusion Appendix Kinematics DH Forward Kinematics Inverse Kinematics References Optimal Motion for Humanoid Robotic Arms Using Kinect Camera 1 Introduction 2 Materials and Methods 2.1 Kinetic Sensor (Camera) 2.2 HRAs Derived Model 2.3 Black Hole Method 2.4 Most Valuable Player Algorithm 3 Results 3.1 Right Arm Results 3.2 Left Arm Results 3.3 GUI Results 4 Discussion and Conclusion References 6G Wireless Communication Systems and Its Applications 1 Introduction 2 Related Work 3 Proposed Work 3.1 Objectives 4 Methodology 4.1 Holographic Communications 4.2 6G for Vehicular Internet of Things (VIoT) and Autonomous Driving 5 Performance Analysis 6 Conclusion 7 Future Enhancement References Compensation Techniques for Nonlinear Effects Using NG-RoF-DSP: A Review 1 Introduction 2 Radio over Fiber Transmission 2.1 Light Source 2.2 Amplification 2.3 Light Detectors 3 Nonlinear Effects 3.1 Stimulated Brillion Scattering (SBS) 3.2 Stimulated Raman Scattering (SRS) 3.3 Self-Phase Modulation (SPM) 3.4 Cross-Phase Modulation (CPM) 3.5 Four-Wave Mixing (FWM) 4 Data Modulation in Optical Communication Systems 5 DSP (Digital Signal Processing) 6 Architecture of the DSP Optical System 7 Types of Filters 8 Performance Evaluation Parameters 9 Results References An IoT Solution Designed for Remote Automatic Control and Supervisor Systems to Key Environmental Factors and Diseases in Coffee Farms in Vietnam 1 Introduction 2 Design Methodology 3 Results and Discussion 3.1 Water Quality Monitoring Module 3.2 Environmental Parameter Monitoring Module 3.3 Water Flow Monitoring and Pump Control Module 3.4 The Gateway (Central Module) 3.5 The Complete Local Network Architecture Deployed in a Coffee Farm 3.6 Deployment Configuration in a Coffee Farm in Vietnam 4 Conclusions and Future Work References Artificial Intelligence as a Strategic Partner to HRM 4.0 1 Introduction 2 AI as the Future of HR 3 Benefits of AI in HRM 4 Conclusion References

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