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ویرایش: نویسندگان: Hariharan Muthusamy, János Botzheim, Richi Nayak سری: Lecture Notes in Electrical Engineering, 1009 ISBN (شابک) : 9819902355, 9789819902354 ناشر: Springer سال نشر: 2023 تعداد صفحات: 599 [600] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 20 Mb
در صورت تبدیل فایل کتاب Robotics, Control and Computer Vision: Select Proceedings of ICRCCV 2022 به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب رباتیک، کنترل و بینایی کامپیوتری: مجموعه مقالات ICRCCV 2022 را انتخاب کنید نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب مقالات منتخب بررسی شده از کنفرانس بین المللی رباتیک، کنترل و بینایی کامپیوتری (ICRCCV 2022) را ارائه می دهد. مطالب بر روی آخرین تحقیقات در زمینه رباتیک، کنترل آنها، و بینایی کامپیوتر در زمینه رباتیک متمرکز است. مقالات ارائه شده به گونه ای تنظیم شده اند که جریان را به خواننده ارائه دهند. این کتاب برای دانشجویان، محققان و متخصصان رشته های چند رشته ای مانند مهندسی مکانیک، مهندسی الکترونیک، مهندسی برق، علوم کامپیوتر و ریاضی مفید خواهد بود.
This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.
Contents About the Editors Computer Vision Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study 1 Introduction 2 Related Work 3 Challenges and Opportunity for SOD in COVID-19 Era 3.1 Challenges 3.2 Opportunities 4 Experimental Result 5 Conclusion and Future Work References Human Activity Recognition Using Deep Learning 1 Introduction 2 Literature Review 3 Data Source 4 Methodology 4.1 Models Chosen 4.2 Workflow 4.3 Performance Metrics 5 Results 6 Conclusions and Future Work References Recovering Images Using Image Inpainting Techniques 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Algorithms 3.2 Custom Error Masks 4 Results and Discussion 4.1 Experimental Setup 4.2 Performance Considerations 4.3 Discussion 5 Conclusion References Literature Review for Automatic Detection and Classification of Intracranial Brain Hemorrhage Using Computed Tomography Scans 1 Introduction 2 Methods for Diagnosis of Brain Hemorrhage 3 Machine Learning for Diagnosis of Brain Hemorrhage 3.1 Both Feature Extraction and Classification Based on Machine Learning Techniques and Algorithms 3.2 Feature Extraction Based on Deep Learning Models and Classification Using Machine Learning Algorithms 3.3 Both Feature Extraction and Classification Based on Deep Learning Techniques and Algorithms 3.4 Classification Using IoT-Powered Techniques or Segmentation-Based Algorithms 3.5 Research Challenges Related to the Field and Suggestions for Future Scope 4 Conclusion and Future Work References A Pilot Study for Profiling Diabetic Foot Ulceration Using Machine Learning Techniques 1 Introduction 2 Methodology Proposed 2.1 Dataset Used 2.2 Machine Learning Used 3 Result 4 Discussion 5 Conclusion References A Deep Learning Approach for Gaussian Noise-Level Quantification 1 Introduction 2 Related Work 3 Proposed Model 4 Experimental Results and Analysis 4.1 Dataset Preparation 4.2 Performance Parameters 4.3 Experimental Results 5 Conclusion and Future Work References Performance Evaluation of Single Sample Ear Recognition Methods 1 Introduction 2 Related Work 3 Methodology 3.1 PCA 3.2 KPCA 3.3 Fourier 3.4 Wavelet 3.5 Wavelet Using Subbands 4 Experimental Results 5 Conclusion and Future Work References AI-Based Real-Time Monitoring for Social Distancing Against COVID-19 Pandemic 1 Introduction 2 Related Work 3 Proposed Work 3.1 Person Detection Using YOLOv3 3.2 Face Mask Classifier using VGG16 3.3 Face Detection using Dual Shot Face Detector (DSFD) 4 Result and Analysis 4.1 Dataset Description 4.2 Data Preprocessing and Augmentation 4.3 Performance Metrics 4.4 Comparison with Related Works 5 Conclusion References Human Activity Recognition in Video Sequences Based on the Integration of Optical Flow and Appearance of Human Objects 1 Introduction 2 Literature Review 3 The Proposed Method 3.1 The Algorithm 4 Experimental Result and Discussion 5 Conclusion References Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management 1 Introduction 2 Proposed Methodology 2.1 Stage I: Assignment of the Task to MAS 2.2 Representation of the Proposed Method as a TSP 2.3 Stage II: Optimizing Task Sequence Using Swap-Based PSO 3 Results 4 Conclusion 5 Aerial Distance Between Two GPS Coordinates References Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19—A Study 1 Introduction 2 Related Study 2.1 Facemask and Safe Distance Detection Using SVM and CNN 2.2 Facemask and Safe Distance Detection Using CNN Along with YOLO Models and Internet of Things (IoT) 2.3 Facemask and Safe Distance Detection Using CNN Along with YOLO Models 3 Comparison and Analysis Among State-of-the-Art Approaches 4 Conclusion References A Machine Learning Framework for Breast Cancer Detection and Classification 1 Introduction 1.1 Benign Tumor 1.2 Malignant Tumor 2 Literature Survey 3 Dataset 4 Methodology 4.1 Exploratory Data Analysis 4.2 Data Preprocessing 4.3 Build a Model to Predict Whether Breast Cell Tissue is Malignant or Benign Using Support Vector Machine 4.4 Optimizing the SVM Classifier 4.5 Comparison with Other Classification Models 5 Result 6 Conclusion and Future Work References Vision Transformers for Breast Cancer Classification from Thermal Images 1 Introduction 2 Related Work 3 Vision Transformer 4 Results and Analysis 5 Conclusion and Future Scope References An Improved Fourier Transformation Method for Single-Sample Ear Recognition 1 Introduction 2 Related Work 3 Proposed Work 4 Experimental Results 5 Conclusion and Future Work References Driver Drowsiness Detection for Road Safety Using Deep Learning 1 Introduction 2 Literature Review 3 Dataset and Methodology 3.1 Dataset 3.2 Proposed Model 4 Result and Discussion 5 Conclusion References Performance Evaluation of Different Machine Learning Models in Crop Selection 1 Introduction 2 Related Work 3 Machine Learning Algorithms 3.1 ML Algorithms for Crop Selection 4 Experiment and Result Analysis 4.1 Experimental Setup 4.2 Dataset 4.3 Analyzing the Dataset 4.4 Crop Selection Procedure 4.5 Results and Discussion 5 Conclusion References Apriori Based Medicine Recommendation System 1 Introduction 2 Proposed Model 3 Simulations and Result Analysis 4 Conclusions References NPIS: Number Plate Identification System 1 Introduction 2 Literature Review 3 Proposed Model 4 Experiments and Discussion 4.1 Quantitative Analysis 4.2 Qualitative Analysis 5 Conclusions References Leveraging Advanced Convolutional Neural Networks and Transfer Learning for Vision-Based Human Activity Recognition 1 Introduction 2 Related Work 3 Proposed Work 4 Result and Analysis 5 Comparison with the State-of-the-Art Models on UTKinect Action Dataset 6 Conclusion References Control Techniques and Their Applications Real Power Loss Reduction by Chaotic Based Riodinidae Optimization Algorithm 1 Introduction 2 Problem Formulation 3 Chaotic Based Riodinidae Optimization Algorithm 4 Simulation Results 5 Conclusion References 5G Enabled IoT Based Automatic Industrial Plant Monitoring System 1 Introduction 2 Literature Review 3 5G Wireless Technology Enabled Monitoring System 4 Experimental Setup and Methodology 5 Results and Discussion 6 Conclusion and Future Work References Criterion to Determine the Stability of Systems with Finite Wordlength and Delays Using Bessel-Legendre Inequalities 1 Introduction 2 Problem Formulation 3 Main Results 4 Numerical Example 5 Conclusion and Future Scope References Adaptive Control for Stabilization of Ball and Beam System Using Hinfty Control 1 Introduction 2 Dynamic Model of Ball and Beam System 2.1 Analysis of the Force Balance of the Ball 2.2 Torque Balance of the Motor and Beam 2.3 DC Motor Equation 2.4 State Space Model 3 Hinfty-Based Integral Sliding Mode Control 3.1 Hinfty-Based Integral Sliding Mode Control 3.2 Hinfty-Based Adaptive Integral Sliding Mode Control 4 Simulation Results 5 Conclusion References Optimal Robust Controller Design for a Reduced Model AVR System Using CDM and FOPIλDμ 1 Introduction 2 Automatic Voltage Regulator 3 Overview of Coefficient Diagram Method 4 Tuning of PID Controller Using CDM 5 Description of Fractional Calculus 5.1 Preliminaries 5.2 Fractional Order PID Controller 5.3 Oustaloup’s Approximation Algorithm 6 Simulation Results 7 Analysis of Robustness of CDM-FOPIλDμ Controller 7.1 Effect of Amplifier Parametric Uncertainty 7.2 Effect of Exciter Parametric Uncertainty 7.3 Effect of Generator Parametric Uncertainty 8 Conclusion and Future Directions References Neural Network Based DSTATCOM Control for Power Quality Enhancement 1 Introduction 2 DSTATCOM Topology 3 NN Based Control Strategy 4 Calculation of Active Component Currents 4.1 Calculation of Reactive Power Components 5 Simulink Based Outcomes 6 Conclusion Appendix References An Extensive Critique on FACTS Controllers and Its Utilization in Micro Grid and Smart Grid Power Systems 1 Introduction 2 Basic Concepts of Flexible Alternating Current Transmission System and Power Quality 3 Facts Controllers 3.1 Static VAR Compensator (SVC) 3.2 Thyristor Controlled Series Compensator (TCSC) 3.3 Static Synchronous Compensator (STATCOM) 3.4 Static Synchronous Series Compensator (SSSC) 3.5 Distributed FACTS Controllers (D-FACTS Controllers) 4 Facts Controllers to Enhance the Power Quality Problems in Micro Grid and Smart Grid 5 Conclusion References Arctangent Framework Based Least Mean Square/Fourth Algorithm for System Identification 1 Introduction 2 Arctangent Framework Based Cost Function 3 Arctangent LMS/F Algorithm (ATLMS/F) 4 Simulation and Results 5 Conclusion References Robotics and Autonomous Vehicles Stabilization of Ball Balancing Robots Using Hierarchical Sliding Mode Control with State-Dependent Switching Gain 1 Introduction 2 Dynamic Model of Ball Bot System 3 State-Dependent Switching Gain-Based Controller 4 Simulation Results 5 Conclusion References Programmable Bot for Multi Terrain Environment 1 Introduction 2 Hardware and Software Architecture 3 Implementation 3.1 URDF Model Creation 3.2 Hardware model 3.3 Object Detection Model 3.4 SLAM 3.5 Interfacing with Arduino 4 Result and Discussion 5 Conclusion and Future Work References A Computer Vision Assisted Yoga Trainer for a Naive Performer by Using Human Joint Detection 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Data Collection 3.2 Hand Gesture Recognition 3.3 Human Yoga Pose Estimation 3.4 Angle Calculation 4 Experimental Results 4.1 Video Recording 4.2 Feedback Generation 5 Conclusion 6 Future Prospects References Study of Deformation in Cold Rolled Al Sheets 1 Introduction 2 Modeling Methods 3 Model Parameters 4 Calculating the Strain Values 5 Summary References Modelling and Control of Semi-automated Microfluidic Dispensing System 1 Introduction 2 Structure Design and Analysis of Dispensing Mechanism 2.1 Design Calculations 3 Simulation of Semi-automated Syringe Dispensing System 4 Results and Discussions 5 Experimental Validation 6 Conclusion and Future Works References Im-SMART: Developing Immersive Student Participation in the Classroom Augmented with Mobile Telepresence Robot 1 Introduction 1.1 The Need for an Effective Mobile Telepresence Robot (MTR) 1.2 Related Work 2 Problem Context 2.1 Requirements for an MTR and Proposed System Overview 3 Hardware Architecture 3.1 System Functional Allocation 3.2 Hardware System Block Diagram, Components and Their Functions 4 Software Architecture 4.1 System Threads 4.2 Moving the Entire Setup to the Internet 5 Implementation 5.1 System in Work Scenarios 6 Results and Discussion 6.1 Experimental Work 6.2 Future Scope References Architecture and Algorithms for a Pixhawk-Based Autonomous Vehicle 1 Introduction 2 Object Detection 3 Lane Detection (Estimating Drivable Space) 3.1 Semantic Segmentation 3.2 Random Sample Consensus (RANSAC) 3.3 Canny Edge Detection 3.4 3D Mapping and Store Lanes as Lines 3.5 Filtering Lanes 4 Path Planning 4.1 Global Path Planning 4.2 Local Path Planning 5 Controllers 5.1 Lateral Control 5.2 Longitudinal Control 6 Overall Architecture 7 Future Work 8 Conclusion References 3D Obstacle Detection and Path Planning for Aerial Platform Using Modified DWA Approach 1 Introduction 2 Dataset for Object Detection 3 Obstacle Detection Model 3.1 Our Approach 3.2 Selecting Velocity of the Drone 3.3 Combining Object Detection and Modified DWA Algorithm References Vibration Suppression of Hand Tremor Using Active Vibration Strategy: A Numerical Study 1 Introduction 2 Mathematical Modelling 2.1 Geometric and Displacement Field 2.2 Piezoelectric Constitutive Equations 2.3 Electric Field 2.4 Equation of Motion 2.5 Active Vibration Controller 3 Validation 3.1 Static Analysis of Piezo-Laminated Cylindrical Shell 3.2 Natural Frequencies of Cylindrical Shell 4 Numerical Analysis and Results 5 Conclusion References Design of a Self-reconfigurable Robot with Roll, Crawl, and Climb Features for False Ceiling Inspection Task 1 Introduction 2 Operational and Design Requirements 2.1 Design Considerations 3 Mechanical Layout 3.1 Crawling and Rolling Mechanisms 3.2 Transition and Wall Climbing Mechanism 4 System Architecture 5 Experiments 6 Conclusions References Smart Technologies for Mobility and Healthcare Review Paper on Joint Beamforming, Power Control and Interference Coordination for Non-orthogonal Multiple Access in Wireless Communication Networks for Efficient Data Transmission 1 Introduction 2 Related Works 3 Motivations and Contributions 4 The Concept 5 NOMA Downlink 6 MIMO-NOMA 7 Conclusion References 3D Reconstruction Methods from Multi-aspect TomoSAR Method: A Survey 1 Introduction 1.1 TomoSAR 1.2 Reconstructing Building Framework in TomoSAR (3D) 2 Methodology 2.1 Hough Transform 2.2 Facade Reconstruction 2.3 DBSCAN Method 3 Result and Discussions 4 Conclusion References Security and Privacy in IoMT-Based Digital Health care: A Survey 1 Introduction 2 Literature Survey 3 Security System Architecture 4 IoMT Communication Protocol 5 Security Requirements in IoMT 6 Types of Malware and Mitigation Techniques 7 Security Attacks and Analysis 8 Security Counter Measures 9 Applications of IoMT 10 Challenges and Open Issues 11 Conclusion and Future Scope References 5G Technology-Enabled IoT System for Early Detection and Prevention of Contagious Diseases 1 Introduction 2 Related Work 3 Proposed System Architecture 3.1 The Sensors 3.2 Data Aggregator 3.3 Application 3.4 Cloud Server 4 Implementation Details 5 Hardware Description 6 Results and Discussions 7 Conclusion and Future Work Appendix References A Brief Review of Current Smart Electric Mobility Facilities and Their Future Scope 1 Introduction 1.1 Wheeler-Based EV Types 1.2 Charging-Station-Based-EV Types 1.3 Component-Wise EV’s Classifications 2 Internal Structure and Design/Architecture Classified Types of EV’s 2.1 Hybrid EV (HEV): (Based on Degree of Hybridization) 2.2 Plug-In Electric Vehicle (PEV) 2.3 All-Electric Vehicle (AEV) 2.4 Extended Range Electric Vehicle (EREV) 3 Interactive Powering Mode’s Classification for EV’s 4 Topology of EV’s 5 Current EV Trends and Expectations 6 Demand for Financial Incentives 7 Recent Machine Learning Study Based on EV Charging Behaviours 8 Recent Deep Learning-Based Study for EV’s Behaviours 8.1 Deep Learning Study Based on Road Lane Detecting Facilities in EV’s 8.2 Basic DL-ML Algorithmic Study-Type Classifications for EV’s 9 Diagnostic and Prognostic Analysis for Battery Managements in EV’s 10 EV’s Future Scope 11 Pandemic Situation EV Updates 12 Limitations and Future Scope of Work 13 Conclusions References Gold-ZnO Coated Surface Plasmon Resonance Refractive Index Sensor Based on Photonic Crystal Fiber with Tetra Core in Hexagonal Lattice of Elliptical Air Holes 1 Introduction 2 Sensor Modeling and Description of Sensing Parameters 3 Simulation Results 4 Conclusion References Fault Detection and Diagnostics in a Cascaded Multilevel Inverter Using Artificial Neural Network 1 Introduction 2 Proposed Methodology 3 Artificial Neural Network 4 Results and Discussion 5 Conclusion References Identification of Multiple Solutions Using Two-Step Optimization Technique for Two-Level Voltage Source Inverter 1 Introduction 2 Two-Level Voltage Source Inverter 3 Optimum Solutions for SHE PWM 4 Discussion on Simulation Results 5 Conclusion References A Review on Recent Trends in Charging Stations for Electric Vehicles 1 Introduction 2 EV Charging Technology 2.1 Electrical Vehicle Charging Standards and Requirements 2.2 Energy Storage System for EV 3 Design of EV Charging Station 4 Converters Used In EV Charging Stations 5 Conclusion References IoT-Based Vehicle Charging Eco System for Smart Cities 1 Introduction 2 Literature Survey 3 Methodology 4 Results and Discussions 5 Conclusion References