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ویرایش: 1st ed. 2021 نویسندگان: R. Jagadeesh Kannan (editor), S. Geetha (editor), Sravanthi Sashikumar (editor), Carl Diver (editor) سری: Lecture Notes in Electrical Engineering, 355 ISBN (شابک) : 9811612439, 9789811612435 ناشر: Springer سال نشر: 2021 تعداد صفحات: 461 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 12 مگابایت
در صورت تبدیل فایل کتاب International Virtual Conference on Industry 4.0: Select Proceedings of IVCI4.0 2020 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 کنفرانس مجازی بین المللی صنعت 4.0: مجموعه مقالات انتخابی IVCI4.0 2020 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.
Preface Contents About the Editors Pre-diagnosis, Prediction and Report Generation of a Disease 1 Introduction 2 Background Study 2.1 K-Nearest Neighbors Algorithm 2.2 Data Mining 2.3 Natural Language Processing 2.4 WEKA Tool 3 Proposed Solution 4 Working Process 5 Database Work 5.1 Data Retrieval 5.2 Security in Firebase 6 Implementation of WEKA Tool 7 Algorithm 8 Data Mining Technique 9 Illustration 9.1 Electronic Health Record 9.2 Patient’s Symptoms 9.3 Measured Parameters 9.4 Parameter Classification 9.5 Report Generation 10 Conclusion References An Audio-Aided Face and Text Recognition System for Visually Impaired 1 Introduction 2 Proposed System 3 Algorithms 3.1 MTCNN 3.2 Model Used—nn4.Small2.V1 3.3 Support Vector Machine 3.4 EAST 3.5 Tesseract OCR 3.6 Pyttsx 4 Hardware Implementation and Working 5 Conclusions References Improving Prediction Accuracy Using Machine Learning Classification Techniques for Alzheimer’s Disease in Healthcare Services 1 Introduction 2 Related Works 3 Existing Predictive Model Using CNN 4 Proposed Predictive Model Using SVM 4.1 Operational Workflow 4.2 Predictive Model Using SVM 4.3 Pre-processing 4.4 Feature Extraction 4.5 Feature Selection 4.6 Cross-validation 4.7 Prediction 5 Results Discussion and Analysis 5.1 Experimental Setup 5.2 Performance Metrics 5.3 Performance Analysis 5.4 Cross-validation 5.5 Prediction 5.6 Prediction Accuracy 5.7 True Positive Rate (Sensitivity) 5.8 False Positive Rate (Specificity) 5.9 Performance Analysis of CNN and SVM 6 Conclusion and Future Work Directions 6.1 Conclusion 6.2 Future Work Directions References Evolutionary Computing-Based Feature Selection for Cardiovascular Disease: A Review 1 Introduction 2 Literature Survey 3 Results and Observation on EC-Based FS 4 Conclusion and Future Work References Readiness and Maturity Assessment Model to Measure the Industry 4.0 Ecosystem 1 Introduction 2 Literature Review 2.1 The Role of Industry 4.0 2.2 The Current State of Industry 4.0 Assessment and Maturity Mechanism 3 Gaps from the Literature 4 Proposed I 4.0 Assessment and Maturity Mechanism 5 Limitations and Future Research Areas 6 Conclusions Appendix: Digital Transformation (Industry 4.0) Assessments Instrument References An Insight on Context-Aware Mobile Application Execution in Mobile Cloud IoT (MCIoT) 1 Introduction 1.1 Mobile Computing 1.2 Mobile Cloud Computing 1.3 MCIoT 1.4 Contributions 2 Related Research Works 3 Mobile Application Execution in Cloud Server 4 Mobile Networking in MCC 4.1 Mobile Networking in MCC Communication 4.2 Service Accessibility Using Mobile Devices 4.3 Issues in Mobile Networking Communication 5 Application Context-Aware Remote Execution 5.1 Context-Aware Application Execution 5.2 Efficient Remote Execution-Based Approaches 5.3 Context-Aware Application Development Models 5.4 Context-Aware Mobile Application Execution 6 Mobile Cloud Computing Over Dynamic IoT Environments 6.1 IoT-Based Remote Application Execution 6.2 IoT-Based Applications in MCC 7 Conclusion References Breast Cancer Detection in Histology Images Using Convolutional Neural Network 1 Introduction 2 Related Works 3 Dataset 4 Data Augmentation 5 Method 5.1 Performance Evaluation 5.2 Convolutional Neural Network 5.3 VGG-16 5.4 VGG-19 5.5 Inception-Resnet-V2 6 Discussions and Conclusion References A Novel Approach on Auto-Scaling for Resource Scheduling Using AWS 1 Introduction 1.1 Reactive Auto-Scaling 1.2 Predictive Scaling 2 Literature Review 3 System Architecture 3.1 AWS Auto-Scaling Group 3.2 Elastic Load Balancer (ELB) 3.3 Prophet 3.4 Prediction Manager 3.5 AWS Cloud Watch 4 Proposed Work 4.1 Traces Collected 4.2 Dataset 4.3 AWS Auto-Scaling 4.4 Experimental Setup 5 Results and Discussion 5.1 Dataset Importing 5.2 Converting the Dataset to Prophet Compliant 5.3 The Forecasting in Prophet 5.4 The Proposed Future Prediction 6 Conclusion References A Blockchain-Based COVID-19 Protection Framework 1 Introduction 2 Related Work 3 Blockchain Technology 4 The Proposed System 4.1 Dapp Registration 4.2 The Contact Tracing Subsystem 4.3 The Blockchain Network 4.4 Role of COVID State in Maintaining Social Distancing 5 Simulation 6 Conclusion and Future Work References A State of Art of Machine Learning Algorithms Applied Over Language Identification and Speech Recognition Models 1 Introduction 2 Literature Review 2.1 Language Identification System—I 2.2 Language Identification System—II 2.3 Language Identification System—III 2.4 Language Identification System—IV 2.5 Language Identification System—V 2.6 Language Identification System—VI 3 Comparative Analysis 4 Results Analysis 5 Conclusion References Feedback-Based Real—Time Surveillance for MidDay Meal Scheme 1 Introduction 2 Related Work 2.1 People Counting Applications 2.2 Nutritional Value Supervision 2.3 Feedback Mechanism Using Chatbot Support 3 Simulation 3.1 People Tracking and Facial Recognition 3.2 Nutritional Information using Food Images and Fact Tables 3.3 Discrepancy Report Using Chatbot Support 4 Result 4.1 People Counting Using Facial Recognition 4.2 Food Detection/Nutritional Information 4.3 Discrepancy Report Using Chatbot 5 Discussion and Conclusion References Compact Planar Retrodirective Antenna with a Rat-Race Coupler for Autonomous Car Applications 1 Introduction 2 Literature Survey 3 Proposed Model 3.1 Rat-Race as Retrodirective 3.2 Design and Evaluation 3.3 Coupler Design 4 Results and Discussion 4.1 Retrodirective Mode 4.2 Non-Retrodirective Mode 5 Conclusion References Digital Watermarking Technique in Transform Domain Using Meta-Heuristic Algorithm 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Preliminaries 3.2 Watermark Embedding 3.3 Watermark Extracting 4 Results and Analysis 5 Conclusion References Centralized Smart Air Purifier System for Industrial Applications 1 Introduction 2 Design and Analysis of Air Purifier Prototype 2.1 Design of Air Purifier 2.2 CFD Analysis of Air Purifier System 3 IoT Based Air Purifier Prototype 4 PLC Based Simulation of Industrial Air Purifier 5 Conclusions References Rapid Forest Cover Detection Using Ensemble Learning 1 Introduction 1.1 Features and Data 2 Existing Methodology 3 Proposed Methodology 3.1 Proposed Module Description 4 Results 5 Conclusions and Future Enhancements References Analysis of Connectivity Model to Study the Neurophysiological Process for Autism Detection 1 Introduction 2 Proposed Model 3 Materials and Methods 3.1 Electroencephalogram (EEG) 3.2 Data Acquisition 3.3 Directionality Phase Index (DPI) 3.4 Granger Causality (GC) 3.5 Phase Locking Value (PLV) 3.6 Pearson’s Correlation 3.7 Transfer Entropy (TE) 3.8 Mutual Information (MI) 4 Result and Discussion 5 Conclusion References An Image Processing Based American Sign Language Fingerspelling Interpreter 1 Introduction 2 Literature Review 2.1 Data Glove 2.2 Surface Electromyography (sEMG) 2.3 Acoustic Measurements 2.4 Image-Processing 2.5 Radar System 3 Proposed Model 3.1 Design Approach 3.2 User Authentication 3.3 Password Hashing 3.4 Webpage UI Design 3.5 Supervised Machine Learning Algorithm 3.6 Image Processing Algorithms 4 Results and Discussions 5 Conclusion References Security for User Profile Matching in Social Networks 1 Introduction 2 Related Work 3 Literature Survey 4 Existing System 5 Proposed System 6 Modules Description 7 System Architecture 8 Result Analysis 9 Conclusion References AI and ML-Based Crop Detection Application 1 Introduction 2 Literature Survey 3 Proposed Model 3.1 Dataset Preparation 3.2 Implementation of CNN Architecture 4 Results and Discussion 5 Conclusion References Modified Pre-emptive Priority-Based Round Robin Scheduling Algorithms with Dynamic Time Quantum: MPPBRRACBDQ and MPPBRRALBTDQ 1 Introduction 2 Related Work 3 Proposed Algorithms 3.1 Modified Pre-Emptive Priority-Based Round Robin Algorithm with Conditional-Based Dynamic Time Quantum (MPPBRRACBDQ) 3.2 Modified Pre-Emptive Priority-Based Round Robin Algorithm with Least Burst Time as Dynamic Time Quantum (MPPBRRALBTDQ) 4 Result and Analysis 4.1 Example 1 4.2 Example 2 5 Conclusion References Decentralized Classroom Using Blockchain 1 Introduction 2 Literature Survey 3 Proposed Implementation 4 Proposed Block Diagram 5 Proposed Algorithm 6 Performance Evaluation 7 Result Analysis 8 Conclusion References A Novel Algorithm for Automatic Essay Grading Using Natural Language Processing Techniques 1 Introduction 2 Literature Survey 2.1 N-Gram Model 2.2 Perceptron Layer 2.3 Long Short-Term Memory (LSTM) 3 System Architecture 4 Novel Algorithm 4.1 Model 1 Algorithm 4.2 Model 2 Algorithm 4.3 Model 3 Algorithm 4.4 Model 4 Algorithm 4.5 Model 5 Algorithm 5 Model Evaluation 6 Conclusion and Future Works References Challenges in Adoption of Industry 4.0 in Apparel Supply Chain: A Cross Case Study 1 Introduction 2 Industry 4.0 in Textile Industry 2.1 Impact of I4.0 on Value Creation Aspect of Textile Industry 3 Results 4 Discussions and Conclusion References A Comprehensive Review on Reputation-Based Trust Management Framework for Cyber Physical Systems 1 Introduction 1.1 Attacks in WSN 1.2 Attacks in Trust Reputation 2 Literature Survey 3 Comparative Analysis of Existing Trust Models 4 Suggestion Proposed: Novel Reputation-Based Trust Framework 4.1 Stage 1: Data Gathering Stage 4.2 Stage 2: Data Modeling Stage 4.3 Stage 3: Decision-Making Stage 4.4 Stage 4: Dissemination Stage 4.5 Technical Workflow 5 Result Discussion 6 Conclusion References A Robust Statistical CNNCTC-Based AI Model for Tracking and Monitoring COVID-19 1 Introduction 2 Related Work 3 Methodology 4 Mathematical Modelling 5 Implementation and Results 6 Conclusion and Future Work References Application of Neuroevolution in Autonomous Cars 1 Introduction 2 Overview of Existing Systems 2.1 Neural Networks (Supervised Learning) 2.2 Reinforcement Learning 3 Proposed System 4 Implementation 4.1 Vehicle Dynamics 4.2 Neural Net 4.3 Genetic Algorithm 4.4 Working 5 Results 6 Conclusion and Future Work References Discrepancy Histopathological Breast Cancer Image Classification with Deep Convolutional Network 1 Introduction 2 Dataset and Protocol 2.1 IDC Dataset 2.2 BreakHis Dataset 2.3 Dataset Skewness 3 Models and Methods 3.1 System Architecture 3.2 Experiments and Evaluation 4 Results and Discussion 5 Conclusion References Detection and Prevention of Cyberbullying Using Ensemble Classifier 1 Introduction 2 Related Works 3 Proposed Work 3.1 Dataset Preparation 3.2 Feature Engineering 3.3 Feature Extraction 3.4 Model Training 4 Result Analysis 4.1 Precision 4.2 Recall 4.3 F-Score 4.4 Results Observed 5 Live-System Implementation 6 Conclusion and Future Work References Obstacle Avoidance for Aerial Vehicles in Autonomous Navigation 1 Introduction 2 Literature Review 3 Proposed Approaches for Obstacle Avoidance 3.1 Proposed Approach for Obstacle Avoidance in Low-Altitude Flying Vehicles 3.2 Proposed System for Obstacle Avoidance for High-Altitude Flying Vehicles 4 Results and Discussions 4.1 Test Bed for Implementation 4.2 A-Star Algorithm for Obstacle Avoidance 4.3 Deep Q-Network Reinforcement Learning Agent for Obstacle Avoidance 5 Conclusion References Modified Particle Swarm Optimization in Wireless Sensor Network for Clustering and Routing 1 Introduction 2 Literature Survey 2.1 Routing Techniques 2.2 Cluster Formation Techniques 2.3 Trust-Based Routing Techniques 3 System Architecture 3.1 Cluster Formation 3.2 Energy Trust System 3.3 Data Transmission Phase 4 Implementation and Results 4.1 Cluster Formation Phase 4.2 Energy Trustsystem 5 Conclusion References A Hyperspectral Image Classification Method-Based Auxiliary Generative Adversarial Networks with Probabilistic Graph Model 1 Introduction 2 Literature Survey 3 Proposed Method 3.1 Auxiliary Generative Adversarial Network Model 3.2 HSI Spatial-Spectral Classification Architecture 4 Experimental Results and Discussion 4.1 Performance Metrics 4.2 Hyperspectral Image Datasets 5 Conclusion References: VESDNet: Deep Vessel Segmentation (U) Network for the Early Diagnosis of Diabetic Retinopathy 1 Introduction 2 Related Works 3 Proposed Method 4 Experiment 4.1 Dataset 4.2 Fundus Images Pre-processing 4.3 Training Parameters 4.4 Development Platform Setup 4.5 Performance Evaluation 4.6 Experimental Results 5 Conclusion and Future Work References ‘Teaching an Old Dog New Tricks’: A Comparative Study on Solutions for Connectivity of Legacy Machinery 1 Introduction 2 IIoT Solutions 2.1 Solution 1 2.2 Solution 2 2.3 Solution 3 3 Discussion and Comparison 3.1 Cost 3.2 Technical Knowledge Requirements 3.3 Cybersecurity 3.4 Functionality 4 Conclusions References Intelligent Self-Protection Solution Against COVID-19 1 Introduction 2 Related Works 3 Design and Architecture 4 Implementation Details 5 Conclusion References Detecting Suicidal Ideation from Online Texts 1 Introduction 2 Related Works 3 Design and Architecture 3.1 Data Collection 3.2 Preprocessing and Feature Extraction: 4 Implementation 5 Conclusion References Novel Drug Discovery Using Generative Model for COVID-19 1 Introduction 2 Related Work 3 Design and Architecture 3.1 SMILES Molecular Representation 3.2 Model Design and Training 4 Implementation Details 5 Conclusion References Structural Strength Improvement of 3D Printing Parts from Topology Optimised Design Using Anisotropic Material Modelling 1 Introduction 1.1 Topology Optimisation and Generative Design 1.2 Additive Manufacturing 2 Design of a Formula Student Car Wheel 3 Topology Optimisation of Wheel Design 4 DFM Process Planning to Improve Strength 5 Results and Discussion 6 Conclusions References Uncovering of Depression Through User Profiling 1 Introduction 2 Related Works 3 Design and Architecture 4 Implementation Details 4.1 Preprocessing 4.2 Topic Modeling 4.3 Feature Extraction 4.4 Modeling 4.5 Word Embedding Approach 5 Result Analysis and Conclusion References A Study on Work–Life Balance and Marital Satisfaction of Faculty Members 1 Marital Satisfaction (MS) 2 Work–Life Balance (WLB) 3 Objectives of the Study 4 Methodology 5 Sampling Method 6 Statistical Techniques 7 Testing of Adequacy 8 Reliability of WLB and MS 9 Relationship between WLB and MS 10 ANOVA 11 Effect of Demographic Variables on Marital Satisfaction 12 Multiple Regression Analysis 13 Composite Reliability 14 Convergent Validity 15 Major Findings of the Study 16 Suggestions 17 Conclusion References