International Virtual Conference on Industry 4. 0 : Select Proceedings of IVCI4. 0 2021

This book presents the proceedings of the International Virtual Conference on Industry 4.0 (IVCI4.0 2021). This conference brings together specialists from the academia and industry sectors to promote the exchange of knowledge, ideas, and information on the latest developments and applied technologies in the field of Industry 4.0. The book discusses a wide range of topics such as safe and affordable housing, affordable and sustainable transport systems, mitigating adverse effects on natural disasters, mitigating environmental impact, green and public spaces, sustainable and resilient building, sustainable urbanization, and cultural and natural heritage conservation. The book supports the transfer of vital knowledge to the next generation of academics and practitioners. Contents About the Editors Design of Web-Based Agile Meeting Dashboard 1 Introduction 2 Related Work 3 System Overview 4 System Prototype 5 Result and Discussion 6 Conclusion References Deep Learning Based Hybrid Approach for Crowd Anomalous Behavior Detection 1 Introduction 1.1 Deep Learning 1.2 Existing Approaches 2 Proposed Convolutional SVM Approach 2.1 C-SVM Working 3 Experiment and Analysis 4 Conclusion References Quantum Machine Learning Algorithms for Diagnostic Applications: A Review 1 Introduction 2 Literature Survey 3 Limitations 4 Conclusion of Literature Survey 4.1 Need 4.2 Challenges 4.3 Objectives of Proposed Research 5 Conclusion References Minimizing Latency While Transferring IoT Data to Cloud Using Gap Optimization Algorithm 1 Introduction 2 Literature Review 2.1 Problem Statement 3 Factors Contributing to Data Delay 3.1 Geographical Distance 3.2 Contention Ratio 3.3 Bandwidth of Internet 3.4 Server Load 3.5 Quality of Routing Devices 3.6 Transmission Medium 4 Methods to Reduce Latency 4.1 Traffic Shaping 4.2 Edge Computing 4.3 Fog Computing 5 Proposed Architecture Using Gap Optimization Algorithm 6 Data Analysis 7 Conclusion and Future Work References Man-in-the-Middle Attack Mitigation in IoT Sensors with Hash Based Multidimensional Lamport Digital Signature 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Proposed Lamport Signature Scheme for IoT Sensors Security 4 Experimental Analysis 4.1 System Configuration and Software Tools 4.2 Efficiency Analysis 4.3 Analyses of Security Against Man-In-The-Middle (MITM) Attacks 5 Conclusion References Irrigation System Based on IOT and Machine Learning Approach 1 Introduction 2 Problem Statement 3 Proposed System 3.1 KNN (K-Nearest Neighbors) Algorithm 3.2 Naive Bayes Algorithm 3.3 Linear Regression Algorithm 3.4 Artificial Neural Network (ANN) 4 Results and Discussion 4.1 Dataset Preparation 4.2 Prediction of Dryness of Soil 4.3 Finding Water Quantity Requirement and Prediction for the Next Water Cycle 4.4 Prediction of Pump ON/OFF 5 Conclusion and Future Enhancements References Water Quality Risk Analysis for Sustainable Smart Water Supply Using Adaptive Frequency and BiLSTM 1 Introduction 1.1 Objective 2 Literature Survey 3 Data Description 4 System Architecture 5 Result Analysis 6 Conclusion References A Tuned Stacking Algorithm to Detect Skin Cancer Using Multi-classification Algorithms 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Decision Trees 3.2 Nearest Neighbors 3.3 Pseudocode for Tuned Stacking Algorithm 4 Results and Discussion 5 Conclusion References Military Hand Signal Classification Using Deep Learning 1 Introduction 2 Literature Survey 3 Methodology 3.1 Data 3.2 Proposed Architecture 3.3 Generalization and Training 4 Results 5 Conclusion and Future Work References A Novel Blockchain Framework for Enhancing Online Transactions 1 Introduction 2 Related Works 3 Existing Model and Problem Statement 4 Proposed Methodology 4.1 Process of HSB Algorithm 5 Result and Discussion 5.1 Discussion 6 Conclusion References Towards Improving the Packet Delivery Ratio in Mobile Ad Hoc Networks Using DSDV Protocol and Cuckoo Search Algorithm 1 Introduction 1.1 Problems of MANET 1.2 Factors in MANET 2 Related Work 2.1 DSDV 2.2 Cuckoo Search Algorithm 3 Proposed Work 3.1 Topology Identification 3.2 Management of Routing 4 Results and Discussion 5 Conclusion References COVIDEffiNet: Pulmonary Diseases and COVID-19 Detection from Chest Radiographs Using EfficientNet Deep Learning Model 1 Introduction 2 Related Works 3 Proposed Methodology 3.1 Model 3.2 Transfer Learning 4 Experimentation 4.1 Dataset 4.2 Result 5 Conclusion References Multi-classification of Brain Tumor MRI Images Using Deep CNN Features and ML Classifiers 1 Introduction 2 Literature Survey 2.1 Machine Learning-Based Brain Tumor Diagnosis 2.2 Deep Learning Technologies for Brain Tumor Diagnosis 3 Performance Analysis 3.1 Analysis of Performance in State of the Art 4 Inferences 5 Conclusion References Athlete Action Recognition in Sports Video: A Survey 1 Introduction 2 Literature Review 2.1 Athlete Tracking 2.2 Sports Video Action Recognition 2.3 Dataset 2.4 Advantages and Disadvantages of Action Recognition in Sports Video 3 Comparative Analysis 4 Result and Discussion 5 Inference Made 6 Suggestion Proposed 7 Conclusion References Evaluation of Sustainable Drainage Systems in the Mekong Delta: A Case Study of Vinh Long City, Vietnam 1 Introduction 2 Urban Flooding in Mekong Delta Cities 2.1 Mekong Delta Urban System 2.2 Mekong Delta Urban Flood Risk Context 2.3 Sustainable Urban Drainage Solution for Mekong Delta Cities 2.4 The Case Study of Vinh Long City 3 Urban Landcover Remote Sensing Analysis Theories 4 Research Methodology 4.1 Research Approach 4.2 Sentinel-2 Dataset 5 Analysis of Results 6 Discussion 7 Conclusion References Dynamic Modelling of Wind Turbine Structure for Health Monitoring 1 Introduction 2 Modelling and Validation 2.1 Structural Modelling 2.2 Aerodynamic Module 2.3 Free Vibration Analysis 2.4 Damage Modelling to the Wind Turbine Blade 3 Results and Discussion 4 Conclusion References Evaluating a Covid-19 Vaccine Centre in the UK Using a DES Model 1 Introduction 2 Related Work 3 Methodology 3.1 Vaccination Centre Operations 3.2 Data Collection 3.3 Data Analysis 3.4 Simulation Model 3.5 Model Testing 4 Results 4.1 Base Experiment 4.2 Parameter Variations 5 Discussions and Conclusions References Elevated CNN Based Secured Sensor Image Data Communication for HAR: IIOT 1 Introduction 2 Related Works 3 Proposed Methodology 3.1 Data Collection 3.2 Secure Sensor Data Communication Using SDN-SHODHS 3.3 Human Activity Recognition Utilizing Elevated Deep Convolutional Neural Network 4 Result and Discussion 4.1 Application of IIOT as a Smart Factory 4.2 Experimental Setup and Data Set Description 4.3 Simulation Result and Performance Analysis 4.4 Comparison Analysis 5 Conclusion References Comparative Studies with Random Datasets Using Enhanced Faster R-CNN, Mask R-CNN, and Single Shot Detector 1 Introduction 2 Related Work 3 Selection of Algorithm 4 Experiments 4.1 Datasets 4.2 Training 5 Experimental Results and Analysis 6 Inference and Findings 7 Conclusion References Machine Learning Forecasting for Optimisation of Green Energy Generation in Non-domestic Buildings 1 Literature Survey 1.1 Photovoltaic Generation 1.2 Renewable Energy Generation 1.3 Machine Learning 1.4 Building Management Systems 2 Methodology of Energy Generation Optimisation 3 Results 4 Discussion 5 Conclusion 6 Further Work References