International Conference on Artificial Intelligence for Smart Community : AISC 2020, 17–18 December, Universiti Teknologi Petronas, Malaysia

This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference on Artificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17–18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications. Contents Design of PID Controller for Integrating Processes with Inverse Response 1 Introduction 2 Structure of Proposed Control System 2.1 Set Point Filter 2.2 Tuning of PID Controller 2.3 Selection of Tuning Parameter (Λ) 2.4 Performance Measurement 3 Simulation Results and Discussions 4 Conclusions References Environmental Feasibility Survey of Solar Photovoltaic Cells 1 Introduction 2 Methodology Adopted 3 Model Representation 4 Results and Discussion 4.1 Emanation Investigation for SPV Modules 4.2 LCA of Mounting Constructs 5 Conclusion References Intelligent Control Techniques for Parameter Tuning of PID Controller for LFC with Emphasis on Genetic Algorithm 1 Introduction 2 Model Investigation and Controllers 3 Simulation Results 4 Conclusion References Simplified Decoupler Based Fractional Order PID Controller for Two Variable Fractional Order Process 1 Introduction 2 Fractional Order Control 2.1 Fractional Calculus 2.2 Fractional Order PID Controller 2.3 Fractional Order TITO Process 3 Simplified Decoupling Based FO-TITO-PID Controller Design 3.1 Controller Design 4 Simulation Study 4.1 Example 1 4.2 Example 2 5 Conclusion References Improved Centralized PID Controller with Disturbance Rejection for LTI Multivariable Processes 1 Introduction 2 Representation of IMC Based Centralized Control System 3 Centralized Control System Design 4 Simulation Results 5 Conclusions References Tuning of PID Controller Using SIMC Method for Systems with Time Delay and RHP Poles 1 Introduction 2 Revised Cascade Control Model 3 Procedure for Controller Design 3.1 Stabilizing Controller Pc 3.2 Set Point Tracker C 3.3 Disturbance Rejector F1 3.4 Disturbance Rejector F2 4 Robust Stability Analysis 5 Simulation Examples 6 Conclusion References Independent Controller Design for Non-minimum Phase Two Variable Process with Time Delay 1 Introduction 2 Proposed Method 3 Selection of α 4 Simulation Studies 5 Conclusion References Control of DC Link Voltage and Load Voltage Variations in a Pitch Angle Controlled PMSG Based Wind Energy Conversion System 1 Introduction 2 Mathematical Equations Analyis of Wind Turbine 3 PAC of Wind Turbine 4 Simulink Model of PAC 5 Influence on Voltage at PCC and Its Compensation 6 Simulation Responses and Its Discussions 7 Conclusion Appendix References A Novel Approach of Wind MPPT Using Fuzzy Logic 1 Introduction 2 Methodology 2.1 Block Diagram for Wind MPPT Structure 2.2 Fuzzy Based Efficient Wind MMPT 2.3 Simulink Structural Design of Suggested Wind MPPT 3 Evaluation of Wind MPPT 4 Conclusion References Shale Gas Productive Volume Optimization 1 Introduction 2 Methods and Procedures 3 Results and Conclusions 4 Discussion References A Comparative Study and Validation of Kinematic Analysis of a Crank Rocker Engine Prototype Using MATLAB and ADAMS 1 Introduction 2 Analytical Analysis of Crank Rocker Mechanism in MATLAB 3 Modelling and Simulation in ADAMS 4 Results and Discussion 5 Conclusion References Application of Machine Learning Models in Gas Hydrate Mitigation 1 Introduction 2 Methods and Theory 2.1 Least Square Version of Support Vector Machine (LSSVM) 2.2 Extremely Randomized Trees (Extra Trees) 2.3 Artificial Neural Network (ANN) 3 Results and Discussion 4 Conclusion References Analysis of Signal Sensing with Adaptive Threshold for Energy Detector in Cognitive Radio Systems 1 Introduction 2 Related Works 3 Methodology 3.1 Optimum Threshold Condition 4 Conclusion References Collaborative Design in Concurrent Engineering of Industry 4.0 Through Virtual Reality Simulation in Achieving Accelerated Time-To-Market During COVID-19 (Coronavirus) Pandemic Outbreak 1 Introduction 2 Collaborative Design in Concurrent Engineering 3 Methodology—Virtual Reality Simulation 3.1 Stage 1, Tools Accessibility Analysis 3.2 Stage 2, Investigate Serviceability Using Human Manikin Virtual Simulation 3.3 Stage 3, Tools Clash and Interference Check Using Human Manikin Virtual Simulation 4 Case Study—Virtual Reality Simulation 4.1 Tools Accessibility Analysis 4.2 Investigate Serviceability Using Human Manikin Virtual Simulation 4.3 Tools Clash and Interference Check Using Human Manikin Virtual Simulation 5 The Role of Industry 4.0 in COVID-19 Pandemic 6 Conclusions References Stability Analysis of Semi-Markovian Discrete-Time Neural Networks with Time-Varying Leakage Delays 1 Introduction 2 Formulation of the Problem 3 Main Results 4 Numerical Example 5 Conclusion References Forecasting PM10 Concentration Based on a Hybrid Fuzzy Time Series Model 1 Introduction 2 Methodology 2.1 C-Means Clustering Technique 2.2 Hybrid Fuzzy Time Series Model 2.3 Model Evaluation 3 Results and Discussion 3.1 Air Pollution Forecasting 4 Conclusion References Carbonated Water Injection for EOR and CO2 Storage: A Simulation Study 1 Introduction 2 Simulation Studies of CWI and Challenges Encountered 2.1 Simulation of CWI in ECLIPS300 Compositional Simulator 2.2 The Complex Physics Required for Successful Simulation of CWI 2.3 Nonequilibrium-Based CWI Simulation 3 Simulation Of CWI Using ECLIPSE300 3.1 CW Injection Rate Sensitivity 3.2 Effect of CO2 Diffusion During CWI 4 Conclusion References Study of Efficient FIR Filter Architecture for Fixed and Reconfigurable Applications 1 Introduction 2 Literature Survey 3 Proposed Work 4 Conclusion References Improved Deep Learning Based Prediction of Crop Yield Using Bidirectional Long Short Term Memory 1 Introduction 2 Review 3 Methodology 4 Result Discussion 4.1 Data Set 4.2 Metrics Used 4.3 Comparison 5 Conclusion References Instrument Cluster IoT Enclosure Design and Production Implementation in Self Driven Vehicles 1 Introduction 2 Methodology 3 Overview of the Development of Enclosure in Solidworks Software 4 Results and Discussion 4.1 Hardness Test 4.2 Salt Spray Test 5 Conclusion References General Adversarial Networks: A Tool to Detect the Novel Coronavirus from CT Scans 1 Introduction 2 Related Work 3 GAN Architectures 3.1 GAN 3.2 DCGAN 3.3 CoGAN 3.4 LSGAN 4 Experiment 5 Results and Discussion 6 Conclusion References VLSI Implementation of Multipliers for Artificial Intelligence Applications: A Survey 1 Introduction 2 Related Works on Multipliers for AI 2.1 Booth Multiplier, Dadda Multiplier, Wallace Multiplier 2.2 Vedic Multiplier 2.3 Wallace Tree Multiplier with Kogge Stone Adder 2.4 Array Multiplier 2.5 Array Multiplier with OTFC 3 Comparison on Existing Multipliers 4 Comparison on Recent Multipliers 5 Resultant Efficiency Chart 6 Conclusion References Automated Boneage Analysis Using Machine Learning 1 Introduction 2 Problem Statement 3 Objectives 4 Literature Review 5 Proposed Work 5.1 Input Image 5.2 ROI Extraction 5.3 Feature Extraction 5.4 Classification 5.5 Result of Training the Dataset for 120 Images 5.6 Result of Training the Dataset for 336 Images 6 Classifier Result 7 Conclusions References Multi-Class SVM Prediction Model for Lung Cancer Diagnosis 1 Introduction 2 Literature Survey 3 Proposed System 3.1 Subject Selection and Dataset 3.2 Methodology 4 Experimental Results and Discussion 4.1 Performance of SVM Classifier Model Based on Features 4.2 Prediction Time for Different Kernels 4.3 Multi-class SVM Classifier Model Prediction Accuracy 5 Conclusion References Survey on Fire Safety Robot & Implementation of Android Application 1 Introduction 2 Materials and Method 3 Conclusion 4 Future Work References Detection of Emergency Vehicles Using Radio Frequency Identification (RFID) 1 Introduction 1.1 Different Ranges of RFID 2 Literature Survey 3 Proposed Methodology 3.1 Detection of Emergengy Vehicle 4 Results and Discussions 5 Conclusion References Big Data-Enabled Solutions for Covid-19 1 Introduction 1.1 Bigdata 2 How Big Data Help in Fighting Against Covid 2.1 Medical Data 2.2 Mobile Data Location 2.3 Travel History 3 Privacy Preserving in the Healthcare System 3.1 Big Data Approach to Handling These Challenges 4 Big Data Privacy When Data is Being Stored 4.1 Privacy-Preserving Techniques in Big Data 5 Recent Techniques in Privacy-Preserving 6 Privacy-Preserving in the Healthcare System 6.1 Real-Time Security Analytics 6.2 Data Quality 6.3 Data Sharing and Privacy 7 Conclusion References Smart Traffic Monitoring System 1 Introduction 2 Related works 3 Proposed Work 4 Results and Discussion 5 Conclusion and Future Scope References Harvesting Electrical Energy from Body Heat to Power Bio Medical Wearables 1 Introduction 1.1 Problem Statement 1.2 Objectives 2 Literature Review 2.1 Energy Generation from Human Body 2.2 Human-Based Energy Harvesters 3 Proposed Work 3.1 Mathematical Equation 3.2 Simulink Block 3.3 Thermal Energy Harvesting 3.4 Thermocouple 3.5 Boost Converter Multisim 4 Problem Solution 4.1 Boost Converter Output 5 Conclusions References The Significant Relationship Between E-Governance System and Government Operation Excellence 1 Introduction 2 The Proposed Method 3 Research Method 3.1 Research Framework 4 Results and Discussion 4.1 Reliability and Convergent Validity 4.2 Goodness of Fit Indices 5 Conclusion References Trajectory Tracking Control of Industrial Robot Manipulator Using VS Control System with STHWS Method 1 Introduction 2 Singular System Time-Varying Case Robot Arm Model 3 Implementation on an Industrial Robot 4 Results and Discussion 5 Conclusions References Medical Fitness Device for Driving Assessment 1 Introduction 2 Related Works 3 Methodology 4 System Implementation 4.1 PIC Micro Controller 4.2 Pressure Sensor 4.3 Heartbeat Sensor 4.4 LCD Display 4.5 Power Supply Description 4.6 Software Required 5 Results and Discussion 6 Conclusion References Application of Artificial Intelligence for Reservoir Storage Prediction: A Case Study 1 Introduction 2 Materials and Methods 2.1 Study Area and Dataset 2.2 Methodology 3 Result and Discussions 3.1 RLA and ANN Modeling 3.2 Prediction of Storage Data 4 Conclusion References Fabrication of Parallel Mechanism Actuated by Pneumatic Artificial Muscle for Rehabilitation Therapy 1 Introduction 1.1 Background of Foot and Ankle 2 Literature Review 2.1 Pneumatic Artificial Muscles 2.2 Application in Robotics 2.3 Parallel Mechanism 3 Methodology 4 Results and Discussion 4.1 Force Produced by PAMs 4.2 Range of Motion Produced by the PAMs 5 Conclusion References A Review of Artificial Intelligence-Based Techniques to Estimate Atmospheric Parameters Influencing the Performance of Concentrating Photovoltaic/Thermal Systems 1 Introduction 2 Application of ANNs for the Estimation of Solar Radiation 3 Application of ANNs for the Estimation of the Ambient Air Temperature 4 Conclusions References On the Performance of MIMO-UVLC System over Turbulence-induced Fading Channels 1 Introduction 2 System Model 3 Channel Model 3.1 Lognormal Distribution Channel 3.2 Gamma Distribution Channel 3.3 Weibull Distribution Channel 4 Ergodic Capacity 5 Space Shift Keying MIMO 6 Results and Discussion 7 Conclusion and Future Work References Fabrication of One Degree of Freedom Knee Exoskeleton for Nervous Disorder 1 Introduction 1.1 Limitation in Current Design 1.2 Objectives 2 Scope of Proposed System 2.1 Proposed Work 3 Methodology 4 Hardware Implementation 5 Conclusion References Semi-Automatic Detection and Measurement of Fetal Parameters from Ultrasound Images and the Scope Automatic System Using LabVIEW 1 Introduction 1.1 Existing Fetal Parameter Measurement 2 Proposed Research Work 3 Semi-Automatic Fetal Parameter Measurement System 3.1 Process Involved in Semi-Automatic System 4 Scope for Automatic Fetal Parameter Measurement System 4.1 Process Involved in the Automatic System 5 Result of Proposed Semi-Automatic Fetal Measurement System 6 Conclusion References A Framework for Enhancing Network Lifetime in Internet of Things Environment Using Clustering Formation 1 Introduction 2 Application Area of IoT 3 Methodology 4 Results and Discussion 5 Conclusion and Future Work References An Empirical Analysis on Big Analytics for e-Healthcare and Agriculture 1 Introduction 2 Big Data and e-Governance 2.1 Big Data in Agriculture 2.2 Big Data in Healthcare 2.3 Using Big Data and Predictive Analytics to Improve Health Care by Selecting the Best Treatment Plans and Improving Diagnostics for Personalized Healthcare 2.4 Using Big Data and Predictive Analytics to Improve Health Care Infrastructure 2.5 Using Big Data for Provisioning Health Insurances 3 Conclusion References Enhanced Approach in VANETs for Avoidance of Collision with Reinforcement Learning Strategy 1 Introduction 2 Sensor Modules Used 2.1 Ultrasonic Sensor 2.2 LM393 Speed Sensor 3 ESP-NOW Protocol 4 Reinforcement Learning 4.1 Q-Learning 4.2 Policy Gradient 5 Proposed Collision Avoidance Framework 6 Results and Discussions 7 Conclusion and Future Scope References VBlock—Blockchain-Based Traceability in Medical Products Supply Chain Management: A Case Study in VietNam 1 Introduction 2 Related Research 3 System Overview 3.1 Users 3.2 Access and Data Control 3.3 Data Storage 4 System Functions 5 Experiment 5.1 Introduction 5.2 Tested Scenarios 6 Conclusion References Development of Real-Time Internet of Things (IoT) Based Water Quality Monitoring System 1 Introduction 2 System Design and Architecture 2.1 Central Processing Unit 2.2 Sensor Unit 2.3 Wireless Communication 2.4 Cloud Computing and Mobile Application 2.5 Power Management 2.6 Operation of Real-Time Water Quality Monitoring 2.7 Overall System Architecture 2.8 Prototype Deployment in UTP Lake 3 Results and Discussion 3.1 Water Pollution Index 3.2 Temperature 3.3 PH 3.4 Turbidity 3.5 Power Consumption 4 Conclusion References Edge Computing Technology: State-of-the-Art and Challenges in an Internet of Things 1 Introduction 2 Literature Review 3 Edge Computing Models Enabling IOT 3.1 Portable Edge Computing 3.2 Fog Computing 3.3 Cloudlets 3.4 Micro Data Centers 4 General Utility Applications 4.1 Cloudlet 4.2 CloudPath 4.3 PCloud 4.4 ParaDrop 4.5 SpanEdge 4.6 Cloud-Sea Computing Systems 4.7 Smart Home Applications 5 Open Challenges in Edge Computing 5.1 IOT and Edge Computing Challenges 6 Conclusion and Future Work References Comparison of Rectangular Tunnel with Shield Jacking Support and Pipe Roof Support in Finite Element Method 1 Introduction 2 Kenny Hills Soil Formation 3 Method of Analyses 3.1 Parametric Study 4 Result 4.1 Relationship Between Maximum Settlement and Soil Parameter 4.2 Relationship Between Trough Width Parameter and Soil Parameter 5 Conclusion References The Effect of Skill Type on Skill-Gap in the Nigerian Construction Industry 1 Introduction 2 Statement of the Research Problem 3 Research Aim and Objective 4 Skills-Gap and Its Effects in the Nigerian Construction Industry 4.1 Types of Skill-Gap in the Construction Industry 4.2 Effects of Skills-Gap 4.3 Conceptual Framework of the Study 5 Sample Size 6 Result and Discussions 6.1 Research Objective: To Study the Effect of Skills-Gap on Types of Skills-Gap in the Nigerian Construction Industry 6.2 Measurement Model Assessment 6.3 Construct Validity/Convergent Validity 6.4 Discriminant Validity 6.5 Structural Model Evaluation 6.6 Path Coefficient and R2 6.7 Effect Size 7 Conclusions and Recommendations References Propagation Model of Molecular Communication Based Targeted Drug Delivery for Atherosclerosis Disease Therapy 1 Introduction 2 Methodology 2.1 General Propagation Model 2.2 Mathematical Modeling of Propagation Process in MC-TDDS 3 Numerical Analysis and Results 3.1 PDF of Latency for Different Distances in Blood 3.2 PDF of Latency for Different Shear Rates with Different Drift Velocity 3.3 Comparison of Different Shear Rates 3.4 Comparison of Higher PDF Rate 4 Conclusion References Adaptation of Machine Learning and Blockchain Technology in Cyber-Physical System Applications: A Concept Paper 1 Introduction 1.1 Adaptation of ML and BT in CPS 1.2 Research Contribution 2 Core Concepts and Rationale 3 Research Question and Methodology 3.1 Systematic Literature Review 3.2 Methodology 4 Findings 5 Conclusion and Future Scope References Application of Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy (ANFIS) Techniques for the Modelling and Optimization of COD Adsorption Process 1 Introduction 2 Materials and Methods 2.1 Materials 2.2 Preparation of Adsorbent 2.3 Adsorption Batch Experiments 2.4 Artificial Neural Network (ANN) 2.5 ANN-PSO Hybrid 2.6 Adaptive Neuro-Fuzzy Interference Systems (ANFIS) 2.7 Error Analysis 3 Results and Discussion 3.1 Modelling of ANN 3.2 Optimization of COD Adsorption Process Using ANN-PSO 3.3 Modelling of ANFIS 3.4 Optimization of COD Adsorption Process Using ANFIS 3.5 Comparison of ANN and ANFIS 4 Conclusion References An Evolutionary Stream Clustering Technique Outlier Detection in Medical Data 1 Introduction 2 Related Works 2.1 Density-Based Clustering 3 Methodology 3.1 Proposed Methodology 3.2 Evaluation Metrics 4 Assessment 4.1 Experimental Setup 4.2 Result 5 Conclusion References Analysis of Intelligent Agent and Its Components for the SLA Negotiation Process in Cloud Computing 1 Introduction 2 Background Study 3 Framework and Workflow of Ians 4 Conclusion and Future Work References Early Detection of Myocardial Infarction Using Machine Learning with Maximum Accuracy 1 Introduction 2 Proposed Methodology 2.1 ECG Signal Acquisition 2.2 Pan Tompkins Algorithm 2.3 S-T Segment Detection 2.4 Feature Extraction 2.5 Classifier Model 3 Result and Discussion 3.1 ECG Signal Acquisition 3.2 Pan Tompkins Algorithm 3.3 S-T Segment Detection 3.4 Classifier Model 4 Conclusion and Future Work References Design and Development of a Real Time Mouse for Human Computer Interaction 1 Introduction 1.1 Overview 1.2 Objectives 1.3 The Scope of the Paper 2 Existing Methods 2.1 Gesture Recognition 2.2 Tri Axis Control 3 Methodology 3.1 Data Glove 3.2 Bluetooth Module 3.3 Limit Switches 3.4 MEMS Accelerometer 3.5 Proposed Method 4 Results and Discussion 5 Conclusion 6 Future Scope References Design and Implementation of Low Cost Energy Meter Using MIT App Inventor 1 Introduction 2 Implementation of the Proposed Work 2.1 Hardware Selection 2.2 App Implementation 3 Output from MIT App Windows 4 Conclusion References Detection of Sybil Attack in Internet of Things 1 Introduction 2 Sybil Attack 3 Related Works 4 Proposed Method 5 Conclusion References Diagnosis of Brain Tumor Using ANN with Spatial Fuzzy Clustering and Active Level Set Contour 1 Introduction 2 Proposed Tumor Classification Methodology 2.1 Dataset 2.2 Pre-Processing 2.3 Post-Processing 3 Results Analysis 4 Conclusion References Current Overview of Machine Learning Application for Predicting Steam Huff and Puff Injection Production Performance 1 Introduction 2 Steam Huff and Puff Injection Method 3 Machine Learning Applications in Predicting Steam Huff and Puff Injection Production Performance 3.1 Introduction 3.2 Existing Proxy Models for Steam Huff and Puff Injection 3.3 Challenges and Future Prospective 4 Conclusion References Enhanced Cluster Head Based Data Gathering (ECHGS) Technique in IoT Based Smart Irrigation System 1 Introduction 2 Literature 3 The Proposed IoT Model for Agriculture Smart Irrigation System 4 Results 4.1 Residual Energy (RE) 4.2 Throughput (Th) 5 Conclusion References Estimation of State of Charge Using EKF and SVR in Li-Ion Battery 1 Introduction 2 Battery Model 3 EKF Implementation 4 Simulation 5 SVR Implementation 6 Conclusion References Evolving Spiking Neural Network for Prediction Problems in Healthcare System 1 Introduction 2 Literature Review 3 Methodology 3.1 Evolving Spiking Neural Network 3.2 Datasets 3.3 Validation Metrics 4 Result and Discussion 5 Conclusion and Future Directions References Prototyping Pro-Active Wearable Gadget for the Surveillance of Coal Miners in Pakistan 1 Introduction 2 Literature Review 3 Methodology 4 Results and Discussion 5 Conclusion References Design of a Self-Tuning PID Controller for a Temperature Control System Using Fuzzy Logic 1 Introduction 2 Model of the System 2.1 Conventional PID 2.2 Self-Tuning Fuzzy PID 3 Result and Analysis 4 Conclusion References Design of a Low-Cost High-Speed and Large-Capacity Data Logger Using MicroSD Card 1 Introduction 2 SD Card Module 2.1 Control Unit 2.2 Block RAM 3 Implementation 4 Data and Information Retrieval 5 Results and Interpretation 6 Conclusion References Machine Learning in Healthcare: Current Trends and the Future 1 Introduction 1.1 The Motivation for ML in Healthcare 1.2 Artificial Intelligence Techniques for Detection of Diseases 2 ML Potential Applications in Healthcare 2.1 ML-Based Diagnosis for Heart Diseases 2.2 ML-Based Prediction of Diabetes 2.3 ML-Based Robotic Surgery 2.4 Machine Learning in Radiology 3 Natural Language Processing in Healthcare 4 Conclusion and Discussion References Predictive Maintenance for a Turbofan Engine Using Data Mining 1 Introduction 2 Related Work 3 Data Mining 3.1 Data Preparation 3.2 Feature Selection 3.3 Prediction Models 4 Case Study 5 Results and Discussion 6 Conclusion References Cyber Security Breaches and the Long-Run Effect on Firms’ Market Value: A Conceptual Framework 1 Introduction 1.1 Long-Run Impact on MV 2 Literature Review and Hypothesis Development 2.1 Studies on Long-Run Impact: 3 Methodology 3.1 Assessing the Long-Run Abnormal Returns 3.2 Mapping of Security Events for Assessment of MV 4 Conclusion References Towards Early Distribution of Container-Based Microservices in Cloud Computing Environment 1 Introduction 2 Literature Review 3 Methodology 3.1 Randomized Distribution 3.2 Design Pattern Distribution 3.3 Results and Discussion 3.4 Conclusion and Future Work References An AI-Based Chicken Disease Management System 1 Introduction 2 Methodology 2.1 Research Methods 2.2 Research Content 3 Application 3.1 Disease Identification System 3.2 Main Use Case Model of the System 3.3 Relational Database Model 3.4 Business Model 4 Conclusion References Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet 1 Introduction 2 Material and Method 2.1 Polyp Datasets 2.2 Image Pre-Processing and Normalization 2.3 Proposed Model—SegNet 3 Result and Discussion 4 Conclusion References An Agile System for FiO2 Regulation in Ventilators 1 Introduction 1.1 Scope and Significance of Proposed Work 1.2 Significance of the Proposed Work 2 Proposed System Design 2.1 Working Process of the Proposed System 2.2 Automatic Intelligence Algorithm for FiO2 Regulation 3 Result Analysis and Discussion 4 Conclusion References Computer-Aided Diagnostic Tool for Classification of Colonic Polyp Assessment 1 Introduction 2 Material and Method 2.1 Pre-processing 2.2 Transfer Learning 2.3 Classification 3 Result and Discussion 3.1 Performance of Models 3.2 Graphical User Interface (GUI) 3.3 Dataset 4 Conclusion References Live Obstacle Detection Audio System for Visually Impaired People 1 Introduction 2 Related Works 3 Proposed Framework 3.1 Overview 3.2 Proposed System 3.3 Applications 4 Experimental Result 5 Conclusion 6 Future Enhancement References Reducing the Aleatoric Uncertainties of Failure Prediction Using Singular Value Decomposition 1 Introduction 1.1 Uncertainty Reduction 2 Related Work 3 Methodology 3.1 LSTM Architecture with Probabilistic Layer 3.2 Singular Value Decomposition (SVD) 3.3 Noise Filtering with SVD 3.4 Performance Evaluation 4 Case Study 4.1 CMAPSS Turbofan Dataset 4.2 Sensor Selection 4.3 Piece-Wise Linear Degradation 4.4 Data Sequence Length and RUL Values 5 Result and Discussion 5.1 Aleatoric Uncertainty 5.2 RMSE Result 6 Conclusion References Reducing Uncertainty in Failure Prediction Using Singular Value Decomposition Feature Selection 1 Introduction 1.1 Aleatoric Uncertainty in Deep Learning 1.2 Data Denoising Using SVD 1.3 Feature Selection’s Impact on Uncertainty 2 Related Work 2.1 Uncertainty Reduction in Deep Learning 2.2 SVD Denoising 3 Methodology 3.1 LSTM Architecture with Probabilistic Layer 3.2 Singular Value Decomposition (SVD) 3.3 Noise Filtering with SVD 3.4 Signal to Noise (SNR) Calculation 3.5 Performance Evaluation 4 Case Study 4.1 Gas Turbine Dataset 4.2 Sensor Selection 4.3 Piece-Wise Linear Degradation 4.4 Data Sequence Length 5 Results and Discussion 5.1 SNR Results and Feature Selection 5.2 Aleatoric Uncertainty 5.3 RMSE Results 6 Conclusion References Unsupervised Classification of Acoustic Emission Signal to Discriminate Composite Failure at Low Frequency 1 Introduction 2 Experimental Procedure 2.1 Materials and Specimen Preparation 2.2 Tensile Test 2.3 AE Equipment 3 Methodology 3.1 k-means 4 Result and Discussion 4.1 Correlations of AE Results with Tensile Test 4.2 Clustering 5 Conclusion References Finding the EEG Footprint of Stress Resilience 1 Introduction 1.1 Role of Resilience in Mental Health 1.2 Limitation of Psychological Assessment for Stress Resilience 1.3 Brain Activity of Stress Resilience 1.4 Limitation of FMRI-Based Application on Stress Resilience 1.5 EEG-Based Approach in Identifying Stress Resilience 1.6 Rationale of Study 2 Proposed Methodology 2.1 Current Findings of EEG for Stress Resilience 2.2 Stress Resilience as a Flexible Adaptation Process 2.3 Proposed EEG-Signal Analysis 3 Expected Findings of EEG Footprint for Stress Resilience 4 Summary References Modeling and Tuning of PID Controller for Continuous Stirred Tank Reactor 1 Introduction 2 Mathematical Model of CSTR 3 PID Controller 3.1 Ziegler-Nichols Tuning (ZN) 3.2 Tyreus-Luyben Method (TL) 3.3 Cohen and Coon Method (CC) 3.4 IMC 4 Simulation and Results 5 Conclusion References Adaptive Security for Cognitive Robotic Process Automation in Enterprise Computing Using AI-Powered Analytical Engine 1 Introduction 2 Rationale for the Study 2.1 Security Risks in Cognitive RPA 2.2 Security Vulnerabilities on Cognitive RPA 2.3 Adaptive Security Approach for Cognitive RPA 3 Proposed Security Approach 4 Result and Discussion 5 Conclusion References Multidirection Features Based Image Inpainting with Color-Direction Patch-Sparsity 1 Introduction 2 Proposed Algorithm 2.1 Extraction of Multi-direction Features in Image Inpainting 2.2 Distance Measurement 2.3 Estimation of Filling Order 3 Experimental Results 4 Conclusion References Classification of Sub-frequency Bands Based Two-Class Motor Imagery Using CNN 1 Introduction 2 Methodology 2.1 Dataset 2.2 Pre-processing 2.3 Sub-band Frequency Division 2.4 Convolutional Neural Networks (CNN) 3 Result and Discussion 4 Conclusion References Prediction of Methane Hydrate Formation Rate in Multiphase System using Artificial Neural Network 1 Introduction 2 Methodology 3 Result and Discussion 4 Conclusion References Chemometrics Analysis and Wavelength Biomarker Identification Using Fourier Transform Infrared Spectroscopy for Lard Adulteration 1 Introduction 1.1 Food Authentication Based on Vibrational Spectroscopy 1.2 Chemometrics 2 Materials and Methods 2.1 Meat Sample 2.2 Preparing Mixture Samples 2.3 Data Analysis 3 Results and Discussion 3.1 FTIR Spectra of Pure Fats 4 Conclusion References Deep Learning Approach for Divergence Behavior Detection at High Density Crowd 1 Introduction 2 Related Work 3 Divergence Detection with Motion Shape and Deep Convolution Neural Network 3.1 Data Preparation 3.2 Global Motion Estimation and Shape Extraction 3.3 Deep Network for Divergence Detection 3.4 Divergence Localization Algorithm 4 Experimentation Results 4.1 Divergence Behavior Detection 4.2 Divergence Localization 5 Conclusion References Anomaly Localization at High-Density Crowd Using Motion Shape Image (MSI) 1 Introduction 2 Proposed Method 2.1 Divergence Localization and Source/start Point Detection 2.2 Crowd Density Estimation (CDE) in the Localized Mask 2.3 Direction and Angle of the Localized Mask 3 Proposed Crowd Dataset 4 Experimentation and Discussion 4.1 Parameters Settings 4.2 Localization–Qualitative Evaluation 4.3 Localization—Quantitative Evaluation 4.4 Crowd Density Estimation Inside Localization Mask 4.5 Angle of Localization 5 Conclusion References EEG Based Brain Controlled RC Car with Attention Level 1 Introduction 2 Background 3 Methodology 3.1 Design Flow 4 Experimental Results 5 Conclusion Appendix References Automated Pill and Syringe Dispenser 1 Introduction 1.1 Pill Dispenser 1.2 Syringe Dispenser 2 Literature Survey 3 Methodology for Both Pill and Syringe Dispenser 3.1 Introduction 3.2 Block Diagram 4 Methodology for Automatic Syringe Dispenser 4.1 Introduction 4.2 Block Diagram 5 Results and Discussion 5.1 Overall Performance 6 Future Improvements and Scope 7 Conclusion References Multi-classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network 1 Introduction 2 Proposed Multi-classification Approach 2.1 Tumor Dataset 2.2 Image Augmentation 2.3 Classifier Model Using Inception-v3 and DNN 3 Results Analysis 4 Conclusion References A Meta Model Based Particle Swarm Optimization for Enhanced Global Search 1 Introduction 2 Meta Model Based Particle Swarm Optimization 3 Experimental Result and Discussion 4 Conclusion References HCShare: Blockchain Technology in Healthcare System 1 Introduction 2 Related Works 3 Proposed Model 3.1 Blocks 3.2 Encryption Algorithms 3.3 Ethereum Smart Contracts 4 Existing Model Analysis 5 Conclusion References SAZZ Converter Fed Fuzzy Logic Speed Controlled BLDC Motor Drive 1 Introduction 1.1 BLDC Motor 1.2 SAZZ Converter 2 PI Controller Based SAZZ Converter for BLDC Motor 3 FLC Operation 4 Conclusion References Pedestrian Re-identification in Video Surveillance System with Improved Feature Extraction 1 Introduction 1.1 A Subsection Sample 2 Related Work 3 Methodology 4 Results 5 Conclusion References Smart Children Management Using Data Analytics, Machine Learning and IoT 1 Introduction 2 Smart Management of Children Review 2.1 Internet of Things (IoT) 2.2 Machine Learning 2.3 Data Analytics 3 Discussion 4 Conclusion References Optical Wireless Communication Based Wireless Body Area Network for Remote Patient Monitoring 1 Introduction 2 System Description 2.1 System Model 2.2 Channel M This conference proceeding gather a selection of peer-reviewed papers presented at the 1st International Conference onÿArtificial Intelligence for Smart Community (AISC 2020), held as a virtual conference on 17-18 December 2020, with the theme Re-imagining Artificial Intelligence (AI) for Smart Community to apply computational intelligence for biomedical instruments, automation & control, and smart community to develop suitable solution for various real-world application. The conference virtually brought together researchers, scientists, engineers, industrial professionals, and students presenting important results in the related field of healthcare technology, soft computing technologies, IoT, evolutionary computations, automation and control, smart manufacturing and smart cities. Researchers and scientist working in the allied domain of Artificial Intelligence and others will find the book useful as it will contain some latest computational intelligence methodologies and applications