Intelligent Systems: Proceedings of SCIS 2021

Buy Carisoprodol Fedex Preface Contents About the Editors 1 Ontological Simulation of Quality Test Concepts in Seafood Domain 1 Introduction 2 Ontology Modeling of Quality Tests in Seafood Domain 2.1 Ontology Classes and Subclasses 2.2 Object Properties, Data Properties and Instances 2.3 Representation of Ontology Relationships in OWLVIZ 2.4 Representation of Ontology Relationship in OntoGraf 3 Results and Discussion 4 Conclusion and Future References 2 Moroccan Stock Market Prediction Using LSTM Model on a Daily Data 1 Introduction 2 Literature Review 3 Methodology 3.1 LSTM Model 3.2 Forecasting Performance Measures 4 Results and Discussion 5 Conclusion References 3 A Fog–Cloud Computing-Inspired Image Processing-Based Framework for Lung Cancer Diagnosis Using Deep Learning 1 Introduction 1.1 Lung Cancer 1.2 The Literature on Existing Work in Lung Cancer 1.3 Motivation and Contributions 2 Proposed Model 2.1 Device Layer 2.2 Fog Layer 2.3 Cloud Layer 3 Results and Discussions 4 Conclusion References 4 Performance Analysis of Power System Stability of Four-Machine System by Using MBPSS and Static Compensator 1 Introduction 2 Transient Stability 3 Power System Stabilizer 4 Facts Controller (STATCOM and SVC) 5 Static Synchronous Compensator (STATCOM) 6 STATCOM V-I Characteristic 7 System Description 8 Result and Discussion 9 Conclusion References 5 Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network 1 Introduction 2 Literature Review 3 Concept 3.1 Sigmoid Function 3.2 Relu Function 4 Tools 4.1 Keras 4.2 Scikit-Learn 4.3 NumPy 5 Method 5.1 Datasets 5.2 Models 5.3 Layers 5.4 Utils 5.5 Callbacks 6 Procedure 6.1 Importing Libraries 6.2 Normalizing Dataset 6.3 Labeling Dataset 6.4 Flattening Dataset 6.5 Using the Sigmoid Activation Function 6.6 Using the Relu Activation Function 7 Result 7.1 Performance of Sigmoid Activation Function 7.2 Performance of Relu Activation Function 8 Discussion 8.1 Comparative Training Performance 8.2 Comparative Validation Performance References 6 CNCVision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine 1 Introduction 2 Related Work 3 Hardware Setup 4 Proposed Methodology 5 Experimental Results and Discussion 6 Conclusion and Future Work References 7 Survey of Real-Time Object Detection for Logo Detection System 1 Introduction 2 Literature Survey 2.1 Background 2.2 Literature Review 3 Conclusion References 8 Identifying Tumor by Segmentation of Brain Images Using Combinatory Approach of Convolutional Neural Network and Biogeography Algorithm 1 Introduction 2 Literature Survey 3 Proposed Model 3.1 Image Preprocessing 3.2 Biogeography Genetic Algorithm 3.3 Image Segmentation 3.4 Convolution Neural Network 4 Experiment and Results 5 Conclusion References 9 New Center Folding Strategy Encoding for Reversible Data Hiding in Dual Stego Images 1 Introduction 2 Proposed Method 2.1 Embedding Phase 2.2 Extraction Phase 3 Experimental Results 4 Conclusion References 10 Role of Privacy Concern and Control to Build Trust in Personalized Social Networking Sites 1 Introduction 2 Related Work 3 Conceptual Framework and Hypotheses 3.1 Content Personalization and Privacy Concern 3.2 Content Personalization and Control 3.3 Privacy Concern and Control 3.4 Privacy Concern and Trust 3.5 Control and Trust 3.6 Trust and Behavioral Intention 4 Research Method 4.1 Data Collection and Sampling 4.2 Measurement Model 4.3 Confirmatory Factor Analysis and Validity Test 4.4 Test Model Fit with Structural Equation Modeling 5 Result and Discussion 6 Conclusions and Future Scope of Research References 11 Hybrid Restricted Boltzmann Algorithm for Audio Genre Classification 1 Introduction 2 Setup and Theory 2.1 Algorithms 3 Dataset 3.1 Data Accumulation 3.2 Feature Selection Through Mel Frequency Cepstral Coefficient (MFCC) 4 Proposed Algorithm 5 Experimental Setup 5.1 Connection of RBM with Multilayer Network 6 Pre-training Steps 7 Training Network 7.1 Experimental Setup 8 Results 8.1 First Experiment Results 8.2 Second Experiment Results 9 Conclusions References 12 A Design of Current Starved Inverter-Based Non-overlap Clock Generator for CMOS Image Sensor 1 Introduction 2 Operation of Non-Overlap Clock Generator 3 Delay Element Construction 3.1 Simulation Results 4 Conclusion References 13 A Comparison of the Best Fitness Functions for Software Defect Prediction in Object-Oriented Applications Using Particle Swarm Optimization 1 Introduction 2 Related Work 3 Methodology and Experimental Design 3.1 Overview 3.2 Optimization Technique—Particle Swarm Optimization 3.3 Classification Technique—Artificial Neural Networks 3.4 Analysis Process 4 Results and Inferences 4.1 Dimensionality Reduction 4.2 Model Prediction 5 Conclusion References 14 Stable Zones of Fractional Based Controller for Two-Area System Having Communication Delay 1 Introduction 2 Estimation of Stable and Unstable Zones of Fractional PI Controller Parameters 3 Results 4 Conclusion References 15 Lifting Scheme and Schur Decomposition based Robust Watermarking for Copyright Protection 1 Introduction 2 Proposed Watermarking Scheme 2.1 Watermark Insertion Procedure 2.2 Watermark Retrieval Procedure 3 Experimental Analysis 4 Conclusion References 16 Role and Significance of Internet of Things in Combating COVID-19: A Study 1 Introduction 1.1 Internet of Things (IoT) 1.2 COVID-19 1.3 COVID-19 and IoT 2 Surveyed Contributions 3 Conclusion References 17 Phylogenetic and Biological Analysis of Evolutionary Components from Various Genomes 1 Literature Review 2 Methodology 3 Results and Discussion 4 Conclusions References 18 Indoor Positioning System (IPS) in Hospitals 1 Introduction 2 Literature Survey 3 Method 3.1 Gathering Data 3.2 Server-Side Data Pre-processing 4 High Level System Architecture 4.1 Android Application and Data Acquisition 4.2 End-Point Server 5 Results 6 Discussion and Summary References 19 A Review on Character Segmentation Approach for Devanagari Script 1 Introduction 2 About Devanagari Script 2.1 Conjunct Characters 2.2 Overlapping Characters 3 Segmentation 4 Literature Survey 5 Conclusion and Future Scope References 20 Performance Characterization and Analysis of Bit Error Rate in Binary Phase Shift Keying for Future 5G MIMO Environment 1 Introduction 2 Brief Review of Earlier Work 3 Methodology 4 Different System Models 5 Results and Discussion 6 Conclusions and Future Scope References 21 Pose Estimation and 3D Model Overlay in Real Time for Applications in Augmented Reality 1 Introduction 2 Related Work 3 Model Architecture Overview 4 Methodology 4.1 Pose Inference 4.2 Intersecting Image Plane and 3D Model 4.3 Overlay Calculation 5 Final Rendered Result 6 Conclusion and Future Work References 22 Comparative Analysis of Machine Learning Algorithms for Detection of Pulmonary Embolism—A Non-cardiac Cause of Cardiac Arrest 1 Introduction 1.1 Abbreviations 1.2 Dataset and Data Processing 2 Methodology 2.1 Phase-I (Establishment of Connectivity Between Pulmonary Embolism and Cardiac Arrest) 2.2 Phase-II (Implementation of Machine Learning) 3 Results 3.1 Results of Previous Research 3.2 Overall Results of Proposed System 4 Conclusion and Future Scope References 23 Conditional Generative Adversarial Network with One-Dimensional Self-attention for Speech Synthesis 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Residual Stack 3.2 Self-attention 3.3 Normalization Technique 3.4 Dataset and Preprocessing 3.5 Training 4 Results 5 Conclusion References 24 Comparative Study of Various Dehazing Algorithms 1 Introduction 2 Image and Atmospheric Light [2, 4] 3 Dehazing Algorithms [4] 3.1 Dark Channel Prior (DCP) Dehazing Algorithm [2–4] 3.2 Multi-scale Fusion [5] 3.3 Color Attenuation Prior (CAP) [6–8] 3.4 Haze Lines [6] 3.5 Dynamic Atmospheric Scattering Coefficient Β [6–8] 4 Quantitative Analysis 5 Conclusion References 25 Real-Time Model for Preventive, Emergency and Restorative Controls of Grid-Based Power System Network 1 Introduction 2 System Modeling 2.1 Static State Estimation Procedure for Power Systems 2.2 Handling Errors and Bad Data in Static State Estimation for Power System Network 2.3 Normal and Alert State in an Intelligent Power System Control 3 Angular Instability and Emergency Control of a Power System 4 Emergency Control of a Studied Power System 5 Results and Discussion 6 Conclusion References 26 Outage and Sum Rate Analysis of Half-Duplex Relay Assisted Full-Duplex Transmission Based NOMA System 1 Introduction 2 System Model 2.1 Signal Model 2.2 SINR Model 3 Probability of Outage 4 Ergodic Rate of HAF-NOMA 5 Full-Duplex NOMA 6 Simulation Results 6.1 Outage Probability Results 6.2 Ergodic Rate Results 7 Conclusions References 27 Machine Learning-Based Approach for Nutrient Deficiency Identification in Plant Leaf 1 Introduction 2 Related Work 3 Proposed Machine Learning Approach for Nutrient Deficiency Identification 4 Evaluation Results 5 The Conclusion & Future Scope References 28 Software Quality Enhancement Using Hybrid Model of DevOps 1 Introduction 1.1 Test-Driven Development 1.2 DevOps Practices 2 Related Work 3 Proposed Methodology 4 Implementation of Process 4.1 Dataset and Experimental Setup 4.2 Metrics Evaluation 5 Results and Discussion 5.1 Comparative Analysis of Proposed and Existing Approach 6 Conclusion and Future Scope References 29 Prediction Model for Cervical Cancer in Female Patients Using Machine Learning 1 Introduction 1.1 Symptoms of Cervical Cancer 2 Literature Review 3 Process Flow 4 Methodology 4.1 Algorithm Used 4.2 Confusion Matrix 4.3 Classification Report 5 Implementation 5.1 Dataset 5.2 Tools Used 6 Results 6.1 Comparison of Accuracy of Random Forest 6.2 Conclusion and Future Work References 30 A Comprehensive Study of Feature Selection Techniques for Evaluation of Student Performance 1 Introduction 1.1 Analyzed Component 2 Literature Review 3 Research Experiment 3.1 Feature Selection 4 Results and Discussion 5 Discussion References 31 Computational Modeling and Governing of Standalone Hybrid Electric Power Generation System 1 Introduction 2 Hybrid Energy System 2.1 Hybrid System Configuration 2.2 Hybrid System Operation 3 Hybrid Energy System Monitoring Methods 3.1 Real-Reactive Energy Balance 3.2 Parallel Inverter Operation 3.3 Phase-Locked Loop/Feedback Control Loop 3.4 Parallel Inverter Operation 3.5 Diversion Power Control 4 Simulation Results and Discussions 5 Conclusion References 32 Sensor Fusion of Camera and Lidar Using Kalman Filter 1 Introduction 2 Sensor Fusion 3 System Design 4 Data Acquisition and Pre-processing 4.1 KITTI Vision Benchmark Suite 4.2 Camera Image Processing 4.3 Multi-Sensor Data Fusion Network 4.4 Sensor Alignment: Calibration Parameters 4.5 Lidar Frame Processing 4.6 Pixel to World Coordinate Transformation 5 Data Association 6 Bayes Fusion 7 Kalman Filter 8 Observation and Results 9 Conclusion References 33 Multi-phase Essential Repair Analysis for Multi-server Queue Under Multiple Working Vacation Using ANFIS 1 Introduction 2 Model Description 3 The Analysis 4 Performance Measures 5 Numerical Analysis 6 Conclusion and Future Scope References 34 Performance Comparison of Benchmark Activation Function ReLU, Swish and Mish for Facial Mask Detection Using Convolutional Neural Network 1 Introduction 1.1 Related Works 2 Methodology 2.1 Workflow of the Model 2.2 Convolutional Neural Network 3 Activation Functions (AF) 3.1 Rectified Linear Unit (ReLU) Activation Function 3.2 Swish Activation Function 3.3 Mish Activation Function 4 Results and Observations 4.1 Confusion Matrix and Results 5 Conclusion References 35 Time-Aware Online QoS Prediction Using LSTM and Non-negative Matrix Factorization 1 Introduction 2 Literature Review 3 Our Approach 3.1 Phase 1: Role of NMF 3.2 Phase 2: Role of LSTM 4 Experiment 4.1 Environmental Setup 4.2 Dataset 4.3 Performance Comparison 4.4 Impact of Hyperparameters 5 Conclusion References 36 An Efficient Wavelet-Based Image Denoising Technique for Retinal Fundus Images 1 Introduction 2 Related Work 3 Approach 3.1 Median Filter 3.2 Wiener Filter 3.3 Discrete Wavelet Transform (DWT) 3.4 The Proposed DWTK-SVD Method 4 Results and Analysis 5 Conclusion References 37 An Intelligent System for Spam Message Detection 1 Introduction 2 Related Works and Motivation 3 Methodology 3.1 Preprocessing 3.2 Extraction of Features 3.3 Training and Prediction 4 Experimental Results and Discussion 4.1 Brief Description of Dataset 4.2 Evaluation Metrics 4.3 Prediction Performance 4.4 Discussion 5 Conclusion References 38 Energy Minimization in a Cloud Computing Environment 1 Introduction 2 Literature Survey 3 Major Issues with Cloud Computing w.r.t Energy 3.1 Minimizing the Energy Consumption 3.2 Challenges Faced in Using Cloud Computing as Green Technology 4 Conclusion References 39 Automated Classification of Sleep Stages Based on Electroencephalogram Signal Using Machine Learning Techniques 1 Introduction 2 Methodology 2.1 Experimental Data 2.2 Preprocessing 2.3 Features Extraction 2.4 Feature Selection 2.5 Classification 3 Results and Discussion 4 Conclusion References 40 B-Tree Versus Buffer Tree: A Review of I/O Efficient Algorithms 1 Introduction 1.1 B-tree 1.2 The Buffer Tree 1.3 Comparative Analysis 2 Result 2.1 Analysis with I/Os from External Memory 3 Conclusion and Future Work References 41 A Heterogeneous Ensemble-Based Approach for Psychological Stress Prediction During Pandemic 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Dataset Description 3.2 Data Preprocessing 3.3 Experimental Setup 4 Results and Discussion 5 Conclusion References 42 A Survey on Missing Values Handling Methods for Time Series Data 1 Introduction 2 Materials and Techniques 2.1 Conventional Methods 2.2 Advanced Methods 3 Discussion 4 Conclusion References 43 Unsupervised Land Cover Classification on SAR Images by Clustering Backscatter Coefficients 1 Introduction 1.1 Synthetic Aperture Radar 2 Related Works 3 Data Collection and Preprocessing 3.1 Data Collection 3.2 Data Preprocessing 4 Unsupervised Clustering 4.1 K-Means Clustering 4.2 EM Clustering 5 Experimental Results and Analysis 5.1 RGB Colour Composite 5.2 K-Means Clustering 5.3 EM Clustering 5.4 Comparison Study 6 Conclusion References 44 Cloud Algorithms: A Computational Paradigm for Managing Big Data Analytics on Clouds 1 Introduction 2 A Brief About the Limitations and Challenges of the Cloud Computing Ecosystem 3 Motivation 4 Related Works 5 Cloud Algorithms: The Proposal 5.1 Principal Assumptions 5.2 Various Procedures for Determining Process Sequencing Tasks 5.3 The Working Model 6 Experimental Results 7 Conclusion and Future Scope 7.1 Future Scope of the Proposed Research 7.2 Concluding Remarks References 45 Analysis of Machine Learning and Deep Learning Classifiers to Detect and Classify Breast Cancer 1 Introduction 2 Classification Algorithm 2.1 Convolution Neural Network 2.2 GRU-SVM 2.3 Artificial Neural Network 2.4 Logistic Regression 2.5 K-Nearest Neighbor Classifiers 2.6 Gaussian Naive Bayes Classifier (GNBC) 3 Dataset and Pre-processing 3.1 Wisconsin Diagnostic Breast Cancer (WDBC) 3.2 Wisconsin Breast Cancer Dataset (WBCD) 4 Results 5 Conclusion References 46 Clinical Decision Support for Primary Health Centers to Combat COVID-19 Pandemic 1 Introduction 2 Materials and Methods 2.1 Data Collection 2.2 Ontology Development 2.3 Implementation of CDSS 3 Results and Discussion 4 Conclusion and Future References Author Index