Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2022
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This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2022) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during June 24–25, 2022. It covers topics in the areas of automation, manufacturing technology, and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy, and energy sustainability. ICIMES-2022 Committees Preface Contents About the Editors 1 A Hybrid Optimal Technique for Road Extraction Using Entropy Rate Super-Pixel Segmentation and Probabilistic Neural Networks 1.1 Introduction 1.2 Proposed Method 1.2.1 Database Training and Testing 1.2.2 Preprocessing 1.2.3 Image Segmentation 1.2.4 Feature Extraction 1.2.5 Road Region Classification 1.2.6 Road Object Analysis 1.3 Experimentation Environment 1.3.1 Subjective Analysis 1.3.2 Quantitative Analysis 1.4 Conclusion References 2 Meta Heuristic-Based Community Detection of Social Network Using Cuckoo with InfoMap Algorithm 2.1 Introduction 2.2 Related Work 2.3 Proposed Cuckoo Search with InfoMap Algorithm 2.3.1 Pre-processing 2.3.2 Construction of Network Community 2.3.3 Detection of Community Based on Hash Tag Using CMIA (Proposed) 2.4 Results and Discussion 2.4.1 Evaluation of Performance 2.5 Conclusion References 3 Smart Mirror Using Raspberry Pi 4 3.1 Introduction 3.2 Significance and Simulation 3.3 Framework and Functions of the System 3.4 Hardware Configuration 3.5 Design and Implementation 3.6 Conclusion References 4 Garbage Bin Alert System Using Arduino UNO for Smart Cities 4.1 Introduction 4.1.1 Purpose 4.1.2 Background 4.2 Literature Survey 4.3 Methodology 4.4 Results 4.5 Conclusion and Future Scope References 5 LabVIEW-Based Temperature Control Using Fuzzy Logic Controller 5.1 Introduction 5.2 LabVIEW 5.3 Temperature Controller 5.4 Fuzzy Systems 5.4.1 Linguistic Variables 5.4.2 Membership Functions 5.5 Rule Base 5.6 Fuzzy Controllers 5.6.1 Fuzzification 5.6.2 Implementing a Linguistic Control Strategy 5.6.3 Defuzzification 5.7 Controller Design for Temperature Control 5.8 Schematic Diagram 5.9 Subsets for Inputs and Outputs 5.9.1 Input 1 (Current Temperature) 5.9.2 Input 2 (Desired Temperature) 5.9.3 Output (Heater Temperature) 5.10 The Rule Base Table 5.11 Proposed System 5.12 Conclusion References 6 A Survey Towards Implementing Smart Campus 6.1 Introduction 6.2 Smart Campus—Concept and Benefits 6.3 Survey of Smart Campus Applications 6.4 IoT Technology in Educational Sector 6.5 Conclusion and Future Scope References 7 Design and Analysis of Stepped Impedance Feed Elliptical Patch Antenna 7.1 Introduction 7.2 Design of Stepped Impedance Feed Elliptical Patch Antenna 7.3 Results and Discussion 7.4 Conclusion References 8 Wavelet-Based Colon Polyp Detection Using Support Vector Machine Classifier 8.1 Introduction 8.2 Related Work 8.3 Proposed System 8.3.1 Wavelet 8.3.2 Curvelet 8.3.3 Wave Atom 8.3.4 Experiments and Results 8.4 Conclusion References 9 Probable Deviation Outlier-Based Classification of Obesity with Eating Habits and Physical Condition 9.1 Introduction 9.2 Literature Review 9.3 Methodology 9.4 Implementation Setup 9.5 Conclusion References 10 Design and Implementation of Smart Home Automation System Using the Proteus Design Tool 10.1 Introduction 10.2 Literature Survey 10.3 Proposed Model 10.4 Results and Discussions 10.5 Conclusion References 11 A Novel Approach to Prognosticate CKD Using a Supervised and Unsupervised Learning Algorithms 11.1 Introduction 11.2 Related Works 11.3 Proposed System 11.3.1 Classifier Validation Method 11.3.2 Measures for Performance Evaluation 11.3.3 Description of Confusion Matrix 11.3.4 Classification Accuracy 11.3.5 Classification Error 11.3.6 Precision 11.3.7 Recall 11.3.8 F1 Score 11.4 Results and Discussions 11.5 Conclusion References 12 Deep Network Architectures for Object Detection and Tracking: A Review 12.1 Introduction 12.2 Deep Neural Network Models 12.2.1 Convolutional Neural Networks (CNNs) 12.2.2 Long Short-Term Memory (LSTM) Networks 12.2.3 Encoder and Decoder Model 12.2.4 Generative Adversarial Networks (GANs) 12.3 Deep Learning Models for Image Segmentation 12.4 Deep Learning Segmentation Models Performance Analysis 12.5 Conclusion Remarks References 13 Smart Vision of IoT: Semantic Approach of Data Analysis and Data Analytics in Agriculture 4.0 13.1 Introduction 13.2 Literature Review 13.2.1 Challenges and Issues 13.2.2 Comparative Analysis 13.3 Scope of Work 13.4 Methodology 13.5 Result and Discussion 13.6 Conclusion 13.7 Future Scope References 14 Hybrid Boost Converter Integrated Seven-Level MLI Fed PMSM Drive with Closed-Loop Speed Control 14.1 Introduction 14.2 Hybrid Boost Converter 14.3 Seven-Level Diode Clamped Inverter Fed PMSM 14.4 Simulation Results 14.5 Conclusion References 15 A Braille Learning Device for the Visually Impaired 15.1 Introduction 15.2 Literature 15.2.1 Blindness and Visual Impairment Definitions as Used in the Survey 15.2.2 Estimated Frequency of Visual Impairment in the Overall Population of India 15.2.3 Literacy Rate of Blind 15.2.4 Braille Code 15.3 Design Approach 15.3.1 Proposed Design 15.3.2 Hardware 15.4 Implementation 15.5 Conclusion References 16 Handle the Sybil Attack Using Hash Technique in Vehicular Ad Hoc Networks 16.1 Introduction 16.2 Related Work 16.3 Sybil Attacks in VANETs 16.4 Proposed Approach 16.5 Conclusion References 17 Enhancing Recommender Systems Using Sentiment and Emotion Analysis of Reviews 17.1 Introduction 17.2 Literature Survey 17.2.1 “MovReC: A Personalized Movie Recommendations for Children Based on Online Movie Features” 17.2.2 “Recommender System in Big Data Environment” 17.3 System Analysis 17.4 Implementation 17.5 System Design 17.6 Project Execution 17.7 Conclusion References 18 Prediction of Chronic Heart Disease using Machine Learning 18.1 Introduction 18.2 Related Work 18.3 Proposed System 18.3.1 Data Collection 18.3.2 Data Pre-processing 18.3.3 Feature Selection 18.3.4 Training Model Using Machine Learning Algorithms 18.4 Results and Discussion 18.5 Conclusion References 19 Data Aegis Using Chebyshev Chaotic Map-Based Key Authentication Protocol 19.1 Introduction 19.2 Literature Survey 19.3 Proposed System 19.3.1 Preliminaries 19.3.2 C2MAP Algorithm to Perform Mutual Authentication and Its Implementation 19.3.3 Algorithm Devised at [Source] and [Destination] Node 19.3.4 Key Authentication in Proposed System Using C2MAP 19.4 Performance Analysis 19.4.1 Computational Time Comparison 19.4.2 Packet–Delivery Ratio (PDR) 19.4.3 End-To-End Delay (E2D) 19.4.4 Packet Overhead 19.5 Conclusion References 20 MRAS for Induction Motor Using Fuzzy-PI Controller 20.1 Introduction 20.2 MRAS Based on Rotor Flux Speed Observer 20.3 Conceptual Model 20.4 Self-learning Predictive Model 20.5 Fuzzy Logic Controller 20.6 Simulation Results 20.7 Conclusion References 21 Anomaly Detection from Video Surveillances Using Adaptive Convolutional Neural Network 21.1 Introduction 21.2 Related Work 21.3 Proposed Architecture 21.3.1 ACNN Learning Algorithm 21.4 Experiment Results 21.4.1 Dataset 21.4.2 Performance Evaluation 21.5 Conclusion References 22 Applications of Classification and Recommendation Techniques to Analyze Soil Data and Water Using IOT 22.1 Introduction 22.2 Literature Review 22.3 Proposed Work 22.3.1 Data Preprocessing 22.3.2 Feature Scaling 22.3.3 Programming Microcontroller 22.4 Data Flow 22.5 Model Selection 22.5.1 Classifier 22.6 Results and Discussion 22.7 Conclusion References 23 A Review on Epileptic Seizure Detection and Prediction 23.1 Introduction 23.1.1 Electroencephalogram (EEG) Signals 23.1.2 Diagnosis Method 23.2 Forecasting Epileptic Seizures 23.3 Latest Reviews on Seizures Detection and Prediction 23.4 Review on Epileptic Seizure Detection Work Based on IoT 23.5 Recent Study on Methods for Detecting of Seizure’s Early and the Outcomes 23.6 Proposed Prototype 23.7 Conclusion References 24 Sophisticated Machine Learning Algorithms for Pre-investigation of Heart Disease 24.1 Introduction 24.1.1 Aim of the Project 24.1.2 Scope of the Project 24.2 Literature Survey 24.2.1 “An Optimized Stacked Support Vector Machines-Based Expert System for the Effective Prediction of Heart Failure” 24.2.2 “An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection” 24.3 System Analysis 24.4 Implementation 24.5 Project Execution 24.6 Conclusion References 25 Analysis Six Sigma Implementation in Power Plants 25.1 Introduction 25.2 Methodology Adopted 25.2.1 Six Sigma DIMAC 25.2.2 Six Sigma DIMAC Methodology Implementation 25.3 Literature Review 25.4 Case Study 25.5 Identification of Problem 25.6 Collection of Data 25.6.1 Measure 25.6.2 Analysis 25.6.3 Improve 25.6.4 Control 25.7 Result 25.8 Conclusion References 26 Blockchain: A Safe Way to Transfer Signatures in a Distributed Intrusion Detection System 26.1 Introduction 26.2 Background on Intrusion Detection 26.2.1 Intrusion Detection 26.2.2 Blockchain Technology 26.3 Methodology 26.3.1 Anomaly Detection: Phase 1 26.3.2 Extraction of Signature and Distribution Using a Blockchain Framework: Phase 2 26.4 Analysis and Results 26.4.1 Blockchain Execution Evaluation 26.5 Conclusion References 27 Influence of MoS2 with TiC on the Tribological and Wear Properties of Hybrid Aluminum Composites 27.1 Introduction 27.2 Experimental Work 27.2.1 Tensile Strength 27.2.2 Hardness Test 27.2.3 Wear and Microscopic Examination 27.3 Results and Discussion 27.3.1 Tensile Study 27.3.2 Hardness Analysis 27.3.3 Wear Study 27.3.4 Microstructure and EDAX Analysis 27.4 Conclusion References 28 Optimization of Process Parameters in Friction Stir Welded AA6063 and AA7075 Joints 28.1 Introduction 28.2 Experimentation 28.2.1 Selection and Preparation of Workpieces 28.2.2 Experimental Setup 28.3 Results and Discussion 28.3.1 Assessment on Mechanical Properties 28.3.2 ANOVA Analysis 28.3.3 Taguchi Analysis 28.4 Conclusions References 29 Experimental Investigation on Combustion and Emission Characteristics of Butanol Gasoline Fuelled SI Engine 29.1 Introduction 29.2 Materials and Methods 29.3 Result and Discussion 29.3.1 Calorific Value 29.3.2 Viscosity 29.3.3 Brake Specific Fuel Consumption 29.3.4 In-Cylinder Pressure 29.3.5 Heat Release Rate 29.3.6 Engine Emissions 29.4 Conclusions References 30 Preparation and Characterization of Zr-Nanofiller-Based PEO/PVDF-HFP-Mg Polymer Electrolyte Membranes for Battery Application 30.1 Introduction 30.2 Materials and Methods 30.2.1 Materials Used in This Experiment 30.2.2 Preparation of Zr-Nanofiller-Based PEO/PVDF-HFP-Mg Polymer Membranes 30.2.3 Characterization Techniques Used in the Present Study 30.3 Results and Discussion 30.3.1 Structural Analysis by Fourier-Transform Infrared Spectroscopy (FTIR) 30.3.2 SEM Analysis of the PEO/PVDF-HFP Membrane After Doping with Zr Nanopowder 30.3.3 X-ray Diffraction Analysis 30.3.4 DSC Analysis of PEO/PVDF-HFP/Mg Membrane and PEO/PVDF-HFP/Mg Membranes 30.4 Conclusion References 31 Analysis of CO2 Refrigeration System in a Super Market: An Experimental Approach 31.1 Introduction 31.2 CO2 Refrigeration System Booster 31.3 Results and Discussions 31.4 Conclusion References 32 Voltage Output Characteristics of PZT-5H Disk Under Temperature, Humidity and Traffic Load 32.1 Introduction 32.2 Design and Fabrication of Piezoelectric Energy Device 32.3 Experimental Method 32.3.1 Installation of the Piezoelectric Energy Device 32.3.2 Data Acquisition 32.4 Results 32.4.1 Effect of Strain on Voltage Output 32.4.2 Effect of Temperature on Voltage Output 32.4.3 Combined Effect of Humidity and Temperature on Voltage Output 32.5 Discussion 32.6 Conclusion References 33 Estimation of SoC Testability at Early RTL Stage 33.1 Introduction 33.2 RTL Testability Framework 33.3 Test Coverage Analysis 33.4 Experimental Results 33.5 Conclusion and Scope of Work References 34 Low Power LDO of CMOS Voltage Regulator 34.1 Introduction 34.2 LDO Controller Arrangement and Circuit Diagram 34.2.1 Intend of LDO Regulator 34.3 Conculsion References 35 Fire and Gas Detection System for Home and Industry Safety Using ARM7 Through ESP8266 Wi-Fi Module 35.1 Introduction 35.2 System Architecture 35.3 Implementation and Working 35.4 Results 35.5 Conclusion References 36 A Relevant Image Recommendation Based on Social Images 36.1 Introduction 36.2 Related Work 36.2.1 Label-Based Image Retrieval 36.2.2 Neighbor Voting 36.2.3 Ranking Approach 36.3 System Architecture 36.4 Architectural Description 36.4.1 Image Database 36.4.2 Image Features 36.4.3 Color 36.4.4 Texture 36.4.5 Edge Histogram Descriptor (EHD) 36.4.6 Texture 36.4.7 Query Matching 36.4.8 Performance Evaluation 36.5 Conclusion References 37 Partial CMMI V2.0 Assessment Using Multi-grade Fuzzy for Healthcare and Insurance Segment in Software Services 37.1 Introduction 37.2 Literature Review 37.3 Research Methodology 37.3.1 CMMI for Development and the Scope of the Study 37.3.2 Case: Healthcare and Insurance Segment of a Global Software Firm 37.3.3 Methodology 37.3.4 Analysis 37.3.5 Assessment of Partial CMMI Index 37.4 Results and Discussion 37.5 Conclusion References 38 Automatic Welding on Horizontal Cylindrical Workpiece Using Programmable Logic Controller (PLC) 38.1 Introduction 38.2 Literature Review 38.3 Methodology 38.3.1 Design of Automatic Setup 38.3.2 Panel of Automatic Setup 38.3.3 Code of Automatic Machine 38.4 Result 38.5 Conclusion References 39 Triple Bottom Line Sustainability and Industry 4.0 Implementation in Indian MSMEs: A Conceptual Model 39.1 Introduction 39.2 Literature Review 39.2.1 Sustainability and Industry 4.0 39.2.2 Performance Measurement 39.2.3 Industry 4.0, TBL Sustainability 39.3 Research Methodology and Study Hypotheses 39.4 Results and Discussions 39.5 Conclusion References 40 Bat Algorithm-Based Adaptive Route Change Technique for Pesticide Spraying Using IoT in Dynamic Environments 40.1 Introduction 40.2 Literature Survey 40.3 Proposed System 40.4 Results and Discussion 40.5 Conclusion References 41 Technical Feasibility of EV Infrastructure with Renewable Power Integration: A Case Study at NIT Srinagar 41.1 Introduction 41.2 Hybrid Power System Modeling 41.3 Electric Vehicle Modeling 41.4 Differential Evolution Algorithm 41.5 Results and Discussions 41.5.1 Case 1 41.5.2 Case 2 41.5.3 Case 3 41.5.4 Comparison Between Case 1, Case 2, and Case 3 41.6 Conclusion References 42 An Efficient Topology for Simultaneous Feeding of AC/DC Loads 42.1 Introduction 42.2 BDHC Topology Explained 42.3 Operation of BDHC 42.3.1 Operating Principle 42.3.2 Analysis for Steady State 42.4 Implementation of PWM Control Strategy for BDHC 42.5 Prepared Simulation Model 42.6 Output Results for Different Values of Duty Cycle 42.7 Conclusion References 43 Utilization of Supplementary Cementitious Material and Waste Marble Powder in Cement and Concrete for Sustainable Construction 43.1 Introduction 43.1.1 Materials Used 43.1.2 Research Methodology 43.2 Experimental Tests 43.3 Result and Discussion 43.3.1 Setting Time and Consistency 43.3.2 Workability Test 43.3.3 Compressive Strength Test 43.4 Conclusion References 44 CFD Simulation on Optimum Material to Design and Fabricate the Counter Flow Vortex Tube 44.1 Introduction 44.1.1 Literature Review 44.2 Problem Statement 44.2.1 Design and Construction Details 44.2.2 Experimental Formula 44.2.3 CFD Analysis of Different Materials Vortex Tube at 2 Bar Pressure 44.2.4 CFD Analysis of Different Materials Vortex Tube at 4 Bar Pressure 44.2.5 CFD Analysis of Different Materials Vortex Tube at 6 Bar Pressure 44.2.6 CFD Analysis of Different Materials Vortex Tube at 8 Bar Pressure 44.2.7 CFD Analysis of Different Materials Vortex Tube at 10 Bar Pressure 44.2.8 CFD Analysis of Different Materials Vortex Tube at 12 Bar Pressure 44.3 Results and Discussion 44.3.1 Outcome of Pressure Versus Adiabatic Efficiency of Materials 44.3.2 Outcome of Pressure Versus Isentropic Efficiency of Materials 44.3.3 Outcome of Pressure Versus Maximum Temperature Difference of Materials 44.3.4 Outcome of Pressure Versus COP of Materials 44.3.5 Outcome of CMF Versus Adiabatic Efficiency of Materials 44.3.6 Outcome of CMF Versus Isentropic Efficiency of Materials 44.4 Conclusions References 45 A Compact Wideband Rectangular Patch Antenna for Wireless Applications 45.1 Introduction 45.2 Proposed Antenna 45.3 Simulation Results of an Antenna 45.3.1 Parametric Analysis 45.3.2 VSWR 45.3.3 Surface Current Distributions and Field Analysis 45.4 Measured Results and Discussions 45.4.1 Testing of Fabricated Antenna in Anechoic Chamber 45.4.2 Peak Gain 45.4.3 Radiation Efficiency 45.4.4 Radiation Pattern 45.4.5 3D Far-Field Gain Patterns 45.5 Conclusion References 46 Development of a Preliminary Automated CAD Modeling System for Different Types of Rivets 46.1 Introduction 46.1.1 Rivets 46.1.2 Knowledge-Based Engineering (KBE) 46.1.3 SolidWorks API 46.1.4 Visual Basic Language 46.1.5 Macros 46.1.6 Parametric Modeling Techniques 46.2 Literature Review 46.3 Methodology for Modeling and Automation 46.3.1 Generating Graphical User Interface 46.3.2 Program Development for Proportional Dimensions Calculations 46.4 Results and Discussion 46.5 Conclusion References 47 The Mechanical Behavior and Tribological Characteristics of Nylon-CaSO4 Polymer Composites 47.1 Introduction 47.2 Materials and Methods 47.2.1 The Composites Fabrication 47.3 Results and Discussions 47.3.1 Tensile Characteristics of Composites 47.3.2 Effect of Filler Content on the Hardness 47.3.3 Effect of Filler Content on Sliding Wear 47.4 Surface Morphology of the Composites 47.5 Conclusion References 48 CFD Analysis of Heat Transfer Characteristics of Automobile Radiator Using Various Nanofluids 48.1 Introduction 48.2 Methodology 48.2.1 Modeling of Radiators 48.2.2 Properties of Conventional Fluid and Nanofluids 48.3 Result and Discussion 48.4 Conclusions References 49 Stress Analysis of Two High Rolling Mill Chock for Improving Service Life Using Finite Element Analysis 49.1 Introduction 49.2 Methodology 49.3 Results and Analysis 49.4 Conclusion References 50 Modeling of Grid Integrated Solar PV System Using Shunt Active Power Filter (SAPF) with a PI Controller 50.1 Introduction 50.2 PV System Analysis 50.2.1 PV Generation 50.2.2 Design of PV-Battery System 50.3 Proposed Design 50.4 Conclusion References 51 Smart Watch for Panic Alert 51.1 Introduction 51.2 System Architecture 51.2.1 Pi Camera 51.2.2 GPS 51.2.3 GSM 51.2.4 Pulse Rate Sensor 51.2.5 Raspberry Pi 51.2.6 LCD (Liquid Crystal Display) 51.2.7 Voice Mic 51.2.8 Wi-Fi 51.3 Implementation and Working 51.4 Results 51.5 Conclusion References 52 Quality Assessment of Ground Water at Andaman and Nicobar Islands District, India—A Review 52.1 Introduction 52.2 Study Area 52.3 Sampling and Analysis 52.4 Water Quality Evaluation 52.5 Water Suitability for Irrigation 52.6 Residual Sodium Carbonate (RSC) 52.7 Results and Discussion 52.8 Chloride Concentration References 53 Heart Disease Prediction Using Machine Learning 53.1 Introduction 53.2 Proposed System 53.3 Result Analysis 53.4 Conclusion References 54 Performance Analysis of GGBS and Fly Ash-Based Geopolymer Concrete 54.1 Introduction 54.2 Material Used 54.3 Methodology 54.4 Results and Discussion 54.4.1 Workability 54.4.2 Average Compressive Strength (MPa) 54.5 Conclusion References 55 Development of an Automated CAD Modeling System for a Four-Stroke Four Cylinder IC Engine Crankshaft 55.1 Introduction 55.1.1 Crankshaft 55.1.2 Knowledge-Based Engineering (KBE) 55.1.3 SolidWorks API 55.1.4 Visual Basic Language 55.1.5 Macros 55.1.6 Parametric Modeling Techniques 55.2 Literature Review 55.3 Methodology for Modeling and Automation 55.3.1 Generating Graphical User Interface 55.3.2 Program Development for Design Calculations 55.4 Results and Discussion 55.5 Conclusion References 56 Workability and Compressive Strength of Cement Concrete Prepared Using Al2O3 Nanoparticles 56.1 Introduction 56.2 Materials 56.2.1 Cement 56.2.2 Nano-Al2O3 Particles 56.2.3 Aggregates 56.2.4 Water 56.3 Methodology 56.3.1 Mixture Proportioning 56.3.2 Preparation of Test Specimens 56.3.3 Compressive Strength of Nano-Al2O3 Particles Blended Concrete 56.3.4 Workability 56.4 Experimental Results and Discussion 56.4.1 Compressive Strength 56.4.2 Workability 56.5 Conclusions References 57 Assessment on Multiple Aspects of Online Book Recommendation Systems 57.1 Introduction 57.2 Popular Data Sets for Book Recommendation Systems 57.3 Techniques for Book Recommendation Systems 57.4 Metrics to Evaluate the Recommendation System 57.4.1 Root Mean Square Error (RMSE) 57.4.2 Mean Absolute Error (MAE) 57.4.3 Support and Confidence 57.4.4 Recall 57.4.5 Precision 57.4.6 Satisfaction 57.5 Discussion 57.6 Conclusion References 58 LED Driver with an Efficient Interleaved Buck Converter 58.1 Introduction 58.2 Characteristics and Equivalent Circuit of LED 58.3 Interleaved Buck Converter Methodology and Analysis 58.3.1 Circuit Diagram of IBC 58.3.2 Operating Modes 58.3.3 Design of IBC Circuit Components 58.4 Controller Design 58.4.1 Calculation of Plant Transfer Function 58.4.2 Compensator Design Procedure 58.5 Simulation Study and Discussion 58.5.1 Step Change in Source Voltage 58.5.2 Step Change in Load Disturbance 58.5.3 Step Change in Reference Voltage 58.6 Conclusion References 59 A Comparative Analysis of Customer Behavior Using Sophisticated Machine Learning Techniques 59.1 Introduction 59.1.1 Aim 59.1.2 Scope 59.2 Literature Survey 59.2.1 “Consumer Behavior Modeling Based on Social Psychology and Complex Networks” 59.2.2 “Modeling Prediction in Recommender Systems Using Restricted Boltzmann Machine” 59.3 System Analysis 59.3.1 Existing System 59.3.2 Disadvantages 59.3.3 Proposed System 59.3.4 Advantages 59.4 Implementation 59.4.1 Admin Module 59.4.2 Consumer Module 59.5 System Design 59.5.1 Architecture Diagram 59.6 Results 59.6.1 Negative Bigram 59.6.2 Compare Algorithms 59.6.3 K-Nearest Neighbor 59.6.4 Support Vector Machine 59.6.5 Naive Bayes 59.6.6 Evaluate Algorithms 59.6.7 Sentiment Prediction 59.6.8 Product Recommendation 59.7 Conclusion References 60 Object Detection with Voice Feedback for Blind People Using Computer Vision 60.1 Introduction 60.2 Literature Review 60.3 Proposed System 60.3.1 Types of Anchor Boxes 60.3.2 Performance Parameter Indices 60.3.3 Training Model 60.4 Experiment with Result 60.5 Conclusion References Author Index
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