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ویرایش: نویسندگان: Siba K. Udgata (editor), Srinivas Sethi (editor), Satish N. Srirama (editor) سری: ISBN (شابک) : 9813360801, 9789813360808 ناشر: Springer سال نشر: 2021 تعداد صفحات: 585 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 22 مگابایت
در صورت تبدیل فایل کتاب Intelligent Systems: Proceedings of ICMIB 2020 (Lecture Notes in Networks and Systems, 185) 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 سیستم های هوشمند: مجموعه مقالات ICMIB 2020 (یادداشت های سخنرانی در شبکه ها و سیستم ها، 185) 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.
Committee Members Patron General Chair Program Chair Program Co-chair Organising Chairs Convenor Publicity Chairs Accommodation Chairs Finance Chairs Technical Committee Members Preface List of Reviewers Contents Editors and Contributors About the Editors Contributors An Approach for Heart Disease Prediction Using Machine Learning 1 Introduction 2 Literature Survey 3 Proposed Model 4 Working of Model 4.1 Understanding Data of Dataset 4.2 Data Exploration and Visualization 4.3 Data Pre-processing 4.4 Feature Selection 4.5 Classification 4.6 Hyperparameter Tuning 5 Simulatıon and Result Discussıon 6 Conclusion References Low-Cost Smart Solar DC Nano-Grid for Isolated Rural Electrification: Cyber-Physical System Design and Implementation 1 Introduction 2 Brief Description of the Proposed Solar System 3 Cyber-Physical Energy System Modeling 3.1 Modeling of PV 3.2 MIMO System Model 3.3 Controller Structure 3.4 Model of Communication Network 4 Results and Discussion 5 Conclusions References Global Path Optimization of Humanoid NAO in Static Environment Using Prim’s Algorithm 1 Introduction 2 Prim’s Algorithm 2.1 Pseudocode of Prim’s Algorithm 3 Implementation of Prim’s Algorithm for Simulation and Experiment Investigation 4 Probability Plot Between Simulation and Experimental Results 5 Conclusions References Weather Prediction Using Hybrid Soft Computing Models 1 Introduction 2 Literature Survey 3 Fuzzy Logic 4 Multi-layer Perceptron 5 Support Vector Machine 6 Experimental Set-up 6.1 Data 7 Fuzzy Rule-Based Support Vector Machine (FR-SVM) 7.1 Proposed Model 7.2 Output Analysis 8 Fuzzy Rule-Based MLP (FR-MLP) 8.1 Proposed Model 8.2 Output Analysis 9 Result Analysis 10 Conclusion and Future Scope References FindMoviez: A Movie Recommendation System 1 Introduction 2 Background and Related Literature 2.1 Recommendation System 2.2 Collaborative Filtering 2.3 Item-Based Collaborative Filtering 2.4 Content-Based Filtering 3 Methodology 3.1 Data 3.2 Flowchart 3.3 Algorithm 4 Experiment 5 Conclusion References Active Filter with 2-Fuzzy Intelligent Controller: A Solution to Power Quality Problem 1 Introduction 2 Details of the Proposed Filter 3 Developed Control Technique 3.1 Determination of In-Phase Componenet 3.2 Determination of Quadrature Componenet 4 Results and Analysis with Simulation Method 4.1 Steady State Analysis 4.2 Dynamic State Analysis 5 Conclusions Appendix References Analysis of Covid Confirmed and Death Cases Using Different ML Algorithms 1 Introduction 2 Objective 3 Literature Review 4 Comparison of Different Algorithms 4.1 Linear Regression 4.2 Decision Trees 4.3 Random Forests 5 Comparison of Algorithms 6 Conclusion How Good Are Classification Models in Handling Dynamic Intrusion Attacks in IoT? 1 Introduction 2 Machine Learning in Intrusion Detection for IoT 3 Machine Learning in Handling Dynamic Attacks 4 Experimental Assessment 4.1 Simulating Unseen Attacks 4.2 IoT Attack Dataset Used 4.3 Classification Models Used 4.4 Results and Discussion 5 Conclusion References Sediment Rating Curve and Sediment Concentration Estimation for Mahanadi River 1 Introduction 2 River Mahanadi Basin 3 Methods 4 Results 4.1 Inspection of Initial Data 4.2 Regression Models 4.3 Curve Fitting 5 Conclusions References An Energy-Efficient Routing with Particle Swarm Optimization and Aggregate Data for IOT-Enabled Software-Defined Networks 1 Introduction 1.1 A Software-Defined Wireless Sensor Networks 1.2 PSO in Software-Defined WSN 2 Proposed System 2.1 Objectives 2.2 Proposed Methodology 2.3 Energy Model 2.4 Network Model 3 Performance Evaluation 4 Conclusion References Design of IoT-Based Real-Time Video Surveillance System Using Raspberry Pi and Sensor Network 1 Introduction 2 Related Work 2.1 Raspberry Pi 3 Model B 2.2 PIR Sensor 2.3 Keypad 4 * 4 2.4 SMTP Server 2.5 GSM Module 2.6 Webcam 2.7 16 * 2 LCD 3 Motion Detection 4 Implementation 5 Experimental Results 6 Conclusıon and Future Work References Multi-agent System of Autonomous Underwater Vehicles in Octagon Formation 1 Introduction 2 Review of AUV Dynamics 2.1 Dynamics of AUV 2.2 Formation Dynamics 2.3 Communication Consensus 3 Problem Formulation 4 Octagonal Formation Control of AUV 4.1 Dynamics of AUV Formation 4.2 Octagonal Shape Controller 4.3 Formation Angle Controller 4.4 Observer Modelling 5 Simulation Set up and Result Analysis 6 Conclusion References Fuzzy Q-Reinforcement Learning-Based Energy Optimization in IoT Network 1 Introduction 2 Related Works 3 Fuzzy Q-Reinforcement Learning (FQRL) Scheme 3.1 System and Energy Model 3.2 Fuzzy Inference System with Q-Reinforcement Learning (FIS-QRL) 3.3 Complexity Analysis 4 Simulation Result and Discussion 4.1 Residual Energy Over a Month 4.2 Duty Cycle Over Month 4.3 Root Mean Square Deviation (RMSD) of Referential Energy Neutrality Point Over Month 5 Conclusion and Future Scope References A Circumstantial Methodological Analysis of Recent Studies on NLP-driven Test Automation Approaches 1 Introduction 1.1 Definition and Terminologies Associated with NLP 2 Literature Review 3 Comparative Analysis 4 Conclusion References Plant Disease Recognition from Leaf Images Using Convolutional Neural Network 1 Introduction 2 Related Work 3 Experimental Setup 3.1 Data Set 3.2 Proposed Model 4 Results 5 Conclusion References Optimum Design of Profile Modified Spur Gear Using PSO 1 Introduction 2 Proposed Approach and Formulations 3 Result and Discussion 4 Convergence Study 5 Conclusion References Benchmark of Unsupervised Machine Learning Algorithms for Condition Monitoring 1 Introduction 2 Literature Review 3 Machine Diagnosis 3.1 Data Supply 3.2 Machine Diagnosis Using PCA 3.3 T2 and SPE Statistical Analysis 3.4 Optimal Number of Cluster for Cluster Analysis 3.5 K-Means and C-Means Clustering 3.6 Gaussian Model Clustering 4 Results and Discussion 5 Conclusion References Investigation of the Efficiency for Fuzzy Logic-Based MPPT Algorithm Dedicated for Standalone Low-Cost PV Systems 1 Introduction 2 Literature Survey 3 System Description 4 Block Diagram of MPPT Using Fuzzy Logic Control 4.1 Boost Converter 4.2 Fuzzy Logic Controller 5 Implementation 6 Results and Discussions 7 Conclusion References Distributed Channel Assignment in Cognitive-Radio Enabled Internet of Vehicles 1 Introduction 2 System Model 2.1 Scenario 2.2 Radio Channel Model 2.3 Cooperative Spectrum Sensing 3 Problem Formulation 4 Proposed Methodology 4.1 Case 1—Ideal Channel Characteristics 4.2 Case 2—Non-ideal Channel Characteristics 5 Conclusion References Load Reduction Using Temporal Modeling and Prediction in Periodic Sensor Networks 1 Introduction 2 Background 3 Proposed Technique 3.1 Sensor Environment 3.2 Methodology 3.3 Implementation 4 Results and Discussion 4.1 Air Temperature and Temporal Model 4.2 Temporal Model and Load Reduction 5 Conclusions References Direct Torque Control of Mathematically Modeled Induction Motor Drive Using PI-Type-I Fuzzy Logic Controller and Sliding Mode Controller 1 Introduction 2 Induction Motor (IM) Drive 3 Direct Torque Control Technique 4 Type-I Fuzzy Logic Control Technique 5 Sliding Mode Controller 6 Simulink Model and Result 7 Result Analysis and Discussion 8 Conclusion References Measuring the Performance of a Model Semantic Knowledge-Base for Automation of Commonsense Reasoning 1 Introduction 2 Basic Concepts: Constitution of a Knowledge-Base 2.1 Atomicity 2.2 Inheritance 2.3 Classification 2.4 Association 3 Performance Measures for a Model Semantic Network 3.1 Sparsity 3.2 Cluster Size 3.3 Power-Law Degree Distribution 3.4 Connectivity 4 Results and Analysis 5 Revisiting the Problem of Inferencing 5.1 An Inference Engine 5.2 Systematizing Commonsense Reasoning 6 Conclusion References COVID-19 Detection and Prediction Using Chest X-Ray Images 1 Introduction 2 Literature Study 3 Proposed Methodology 3.1 Proposed Model 3.2 Training the Model 4 Results 4.1 Confusion Matrix and ROC Curve 5 Conclusion References Automated Precision Irrigation System Using Machine Learning and IoT 1 Introduction 2 Literature Review 3 Proposed Methodology 4 Results and Discussion 5 Conclusion and Future Work References UHWSF: Univariate Holt Winter\'s Based Store Sales Forecasting 1 Introduction 2 Previous Work 3 Proposed Work 3.1 Holt-Winter\'s 4 Implementation 4.1 Dataset 4.2 Results and Discussion 5 Conclusion and Future Scope References A Nature-Inspired-Based Multi-objective Service Placement in Fog Computing Environment 1 Introduction 2 Related Work 3 Fog Computing Architecture 4 System Model 4.1 IoT Application 4.2 Types of Request 4.3 Fog Network Layer 4.4 Cloud Network Layer 5 Problem Statement 5.1 Optimization Problem 6 Proposed Algorithms 7 Simulation and Results 8 Conclusion and Future Work References Advanced Binary Matrix-Based Frequent Pattern Mining Algorithm 1 Introduction 2 Related Work 3 Binary Matrix-Based FPM Algorithm 4 Result and Discussion 5 Conclusion References Sentiment Analysis Using Semi Supervised Machine Learning Technique 1 Introduction 2 Literature Survey 3 Methodology Used 3.1 Types of Sentiment Classification 3.2 Dataset Used 3.3 Machine Learning Technique Used 3.4 Matrix Transformation of Text Reviews 3.5 Performance Evaluation Parameters 4 Proposed Approach 5 Conclusion and Future Work References Unconstrained Optimization Technique in Wireless Sensor Network for Energy Efficient Clustering 1 Introduction 2 Literature Review 3 Proposed Approach 3.1 Proposed Mathematical Approach 3.2 Diagonalizing a Symmetric Matrix 4 Conclusion and Upcoming Study References A Smartphone App Based Model for Classification of Users and Reviews (A Case Study for Tourism Application) 1 Introduction 2 Background 3 Methodology 3.1 Proposed Model 3.2 Proposed Architecture 3.3 Data Collection Framework 3.4 Data Pre-Processing and Analysis 3.5 Estimation of the Average Rating of Tourist Places 3.6 The Reliability Level of Users 3.7 The Activeness of the User 3.8 Incentives of the User 3.9 Determine Honest Level of User 4 Experimental Results and Discussions 5 Conclusions and Future Scope References Classification of Arrhythmia Beats Using Optimized K-Nearest Neighbor Classifier 1 Introduction 2 Methodology 2.1 K-Nearest Neighbor (KNN) Classifier 2.2 Optimized K-Nearest Neighbor (O-KNN) Classifier 3 Results and Discussion 3.1 K-Nearest Neighbor (KNN) Classifier 3.2 Optimized K-Nearest Neighbor (O-KNN) Classifier 3.3 Comparision of K-Nearest Neighbors (KNN) and Optimized K-Nearest Neighbor (O-KNN) Classifier 4 Conclusion References A Comparative Analysis of Fuzzy Logic-Based DTC and ST-DTC Using Three-Level Inverter for Torque Ripple Reduction 1 Introduction 2 Mathematical Model of Three Phase Induction Motor and Power Supply 3 Fuzzy Implementation 4 Simulation Results 5 Conclusions References An Inference Engine Integrated with Health Parameters for Medical Web Platform 1 Introduction 2 Proposed System 2.1 Video Signal Acquisition 2.2 Computation of Brightness of Signal and Filtering 2.3 Estimating the Health Parameters 3 Implementation and Results 4 Conclusion and Future Scope References Diabetes Prediction Using Machine Learning 1 Introduction 2 Related Works 3 Dataset 4 Proposed Model 5 Methodology 6 System Analysis 6.1 Importing the Packages and Preprocessing the Dataset 6.2 Identifying the Useful Metric and Creating the Model 6.3 Generating the Graphs for Useful Metric 6.4 Evaluating and Improving the Model 6.5 Creating a User Interface for Accessibility 7 Results and Analysis 8 Conclusion 9 Future Scope References Analysis of Security Vulnerabilities of Internet of Things and It’s Solutions 1 Introduction 1.1 Organisation 2 Motivation 3 Security Attacks at Different Layers of IoT 3.1 Perception Layer Attacks 3.2 Network Layer Attacks 3.3 Application Layer Attacks 4 Enhanced Security Solutions 4.1 Security Using Blockchain 4.2 Security Using Fog Computing 4.3 Security Using Machine Learning 5 Conclusions References Cognitive Function of Human Memory Using Machine Learning 1 Introduction 2 Related Work 3 Methodology 4 Results and Discussion 5 Conclusions References TB-EDA: A Trust-Based Event Detection Algorithm to Detect False Events in Software-Defined Vehicular Network 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Network Model 3.2 Misbehavior Model 3.3 Proposed TB-EDA Algorithm 4 Simulation and Results 5 Conclusion and Future Scope References A Sensor Deployment Scheme for Fault-Tolerant Connected Probabilistic Target Coverage: A Trade-Off Among Coverage, Connectivity, and Fault Tolerance 1 Introduction 2 Related Work 3 Network Model and Problem Definition 3.1 Network Model Assumptions 3.2 Terminologies 3.3 Objective Functions 4 Method Used 4.1 Population Representation 4.2 NSGA-II 5 Experimental Setup, Results, and Discussion 5.1 Experiment Setup 5.2 Result Discussions 6 Conclusions and Future Work References An Empirical Study of Green Supply Chain Management by Using an Optimisation Tool: An Eastern India Perspective 1 Introduction 1.1 GSCM Factors 2 Literature Review 3 Theory and Methodology 3.1 Analysis of Variance 4 Industrial Collection of Various Informations 4.1 Sampling Frame 4.2 Sample Size 4.3 Method of Data Collection 5 Result 5.1 Simple Statistical Calculation 5.2 Measuring Reliability of Responses 5.3 ANOVA 6 Conclusion References A Fuzzy AHP Approach to Evaluate the Strategic Design Criteria of a Smart Robotic Powered Wheelchair Prototype 1 Introduction 2 Methodology 2.1 A Simplified Design Criteria Framework 2.2 Theory and Methods of Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) 3 Analysis and Result 4 Discussion 5 Conclusion References An Earthquake Prediction System for Bangladesh Using Deep Long Short-Term Memory Architecture 1 Introduction 2 Basics of Long Short-Term Memory (LSTM) 3 Methodology 3.1 Dataset Preparation 3.2 Proposed Model 4 Result Analysis 4.1 Earthquake Prediction in Bangladesh 4.2 Discussion on the Achieved Result 5 Conclusions References Offline Odia Handwritten Characters Recognition Using WEKA Environment 1 Introduction 2 Background 3 Proposed Model 4 Simulation and Result Discussion 5 Conclusion and Future Study References Neural Network-Based Receiver in MIMO-OFDM System for Multiuser Detection in UWA Communication 1 Introduction 2 Background Research 3 Problem Formulation and Contribution of This Study 4 MLPNN Based MUD 5 Result Discussion 5.1 Simulation Parameters 5.2 Simulation Result 6 Conclusion References Employing Deep Neural Network for Early Prediction of Students’ Performance 1 Introduction 2 Related Work 3 Proposed Work 3.1 Dataset Preparation and Pre-processing 3.2 DNN Model Configuration 3.3 Experimental Methodology 4 Experimental Results 5 Conclusion and Future Work References Minimizing Energy and Cost Through VM Placement Using Meta-Heuristic Algorithm in Cloud Data Center 1 Introduction 2 Related Work 3 Problem Formulation 3.1 System Model 3.2 System Model 4 VM Consolidation Based on Cost and Energy-Aware Algorithm 4.1 Steps of GA for CEAVP Model 4.2 The Proposed Algorithm: CEAVP 5 Performance Evaluation 6 Conclusion References Mobile Cloud Computing: A Green Perspective 1 Introduction 2 Mobile and Cloud Computing 3 Green Computing 4 Fog, Edge, and Mist Computing 4.1 Fog Computing 4.2 Edge Computing 4.3 Mist Computing 4.4 Which Technology and Why? 5 Mobile Computing Technologies with Green Computing 6 Conclusion References Fault Detection in Differential-Based STATCOM Compensated Double Circuit Line 1 Introduction 2 DWT 3 Proposed Protection Structure 4 Simulation Result and Discussion 4.1 Variation of Fr 4.2 Variation of SI 4.3 Variation of Phase Reversing 4.4 External Fault 5 Conclusion References Optimizing the Valid Transaction Using Reinforcement Learning-Based Blockchain Ecosystem in WSN 1 Introduction 2 Proposed Method 3 Routing Algorithm 4 RIL Routing 5 RIL Routing Algorithm 6 Results 7 Conclusions References Wi-Fi Fingerprint Localization Based on Multi-output Least Square Support Vector Regression 1 Introduction 2 Related Work 3 Proposed Multi-output LS-SVM (M-LS-SVM) 3.1 Radio Map Construction 3.2 Support Vector Regression (SVR) 3.3 M-LS-SVM for Fingerprint Radio Map 4 Experimental Setup and Results Discussion 5 Conclusion References Author Index