ENGLISH

Proceedings of International Conference on Communication, Circuits, and Systems: IC3S 2020

Book information

Publisher
Springer
Year
2021
ISBN
9813348658, 9789813348653
Language
english
Format
PDF
Filesize
23 MB (23630054 bytes)
Series
Lecture Notes in Electrical Engineering
Volume
728
Edition
1
Pages
589\545
Time added
2021-04-05 11:36:45

Description

The book proposes new technologies and discusses innovative solutions to various problems in the field of communication, circuits, and systems, as reflected in high-quality papers presented at International Conference on Communication, Circuits, and Systems (IC3S 2020) held at KIIT, Bhubaneswar, India from 16 – 18 October 2020. It brings together new works from academicians, scientists, industry professionals, scholars, and students together to exchange research outcomes and open up new horizons in the areas of signal processing, communications, and devices. Preface Contents About the Editors Academic Students Attendance System: A Case Study of Alexa Skill Development 1 Introduction 2 Basic Working Principle 3 Implementation 4 Conclusion References Implementation of Low-Cost and Low-Power-Based Temperature and Air Quality Monitoring System for a Local Area in Odisha 1 Introduction 2 Overview of the System 2.1 NodeMCU Unit 2.2 DHT11 Sensor and MQ135 Sensor 2.3 Data Storage and Accessibility 3 Experimental Set-Up and Discussion 3.1 Experimental Procedure 3.2 Results and Discussion 4 Conclusion References Comparison Between LSTM and RNN Algorithm for Speech-to-Speech Translator 1 Introduction 2 Literature Survey 3 Methodology 3.1 Speech Recognition 3.2 Text-to-Text Translation 3.3 Text-to-Speech Translation 4 Result 5 Conclusion References Interactive and Non-interactive Control-Based Lossless Grounded Negative Inductance Simulator Using Current Differencing Buffered Amplifier 1 Introduction 2 Circuit Description 2.1 Proposed Lossless Negative Inductance Simulator 3 Simulation Results 4 Experimental Verification 5 Conclusion References Exploring Novel Techniques to Detect Aberration from Metal Surfaces in Automobile Industries 1 Introduction 2 Literature Review 3 Proposed Methodologies 3.1 Solution Approach 3.2 Feature Extraction 3.3 Keypoint and Descriptor 3.4 Feature Comparison 3.5 Output 3.6 Output 3.7 Comparison Table 4 Conclusion References Detecting Diseased Leaves Using Deep Learning 1 Introduction 2 Proposed Methods 2.1 Data and Preprocessing 2.2 Model Architecture 2.3 Result Analysis 3 Conclusion References Energy Storage System Analysis and Optimization for Photovoltaic-Based Pico Hydro System in Remote Village 1 Introduction 2 Pico Hydro Plant Description 3 Solar PV System for the Pico Hydro Plant 4 Energy Storage System (ESS) and Optimization 5 Optimization of PV and ESS 6 Conclusion References Coplanar Wave Guide Fed Dual Band Antenna Loaded with Metamaterial Split Ring Resonator 1 Introduction 2 Proposed Antenna Geometry 2.1 Top Layer Configuration 2.2 Ground Layer Configuration 3 Results and Discussions 4 Measured Result 5 Conclusion References Design of Low Power Multipliers Using Approximate Compressors 1 Introduction 2 Approximate 4:2 Compressors 2.1 Design 1 2.2 Design 2 3 Design of Multipliers 4 Simulation Results 5 Conclusion References Block-Based Local Binary Pattern for Recognition of Handwritten Odia Numerals 1 Introduction 2 Literature 3 Odia Handwritten Numerals 4 Local Binary Pattern 5 Feature Extraction and Classification 5.1 Feature Extraction 6 Results and Discussion 7 Conclusion References Performance Evaluation of Different Machine Learning Techniques for Detection of Non-technical Loss 1 Introduction 2 Various Machine Learning Techniques 2.1 Decision Tree Coupled Support Vector Machine (SVM) 2.2 Probabilistic Neural Network (PNN) 2.3 Stacked Long-Short Term Memory (LSTM) 2.4 Convolutional Neural Network with Long-Short Term Memory (CNN-LSTM) 2.5 Gradient Boosting Algorithms 3 Data Processing and Model Evaluation Metrics 3.1 Data Preprocessing 3.2 The Unbalanced Data Problem 3.3 Model Evaluation Metrics 4 Results and Discussion 5 Conclusion References An Overview with Current Advances in Industrial Internet of Things (IIoT) 1 Introduction 2 Internet of Things (IoT) and Industrial Internet of Things (IIoT) 3 Cyber-Physical Systems (CPS) and Cyber-Physical-Social Systems (CPSS) 4 Cloud Computing Role in IoT Revolution 5 Challenges of Deploying Real-Time Workflows in Cloud 6 Roles of Big Data in IoT 7 Bringing Power to AI to IoT 8 Industry 4.0 and IIoT 9 Conclusion References Video Indexing Through Human Face 1 Introduction 2 Related Work 3 Proposed Method 3.1 Frame Extraction 3.2 Key Frame Extraction 3.3 Cropped Face Images from the Key Frames Using the Viola–Jones Algorithm 3.4 Grayscale Face Image After Image to Grayscale Conversion 3.5 Image Gradient Using Sliding Window Technique 3.6 Barcode as an Index Using EAN-8 Sequence Table 3.7 Accuracy of Barcode Determination 4 Experimental Result and Discussions 5 Conclusions References Acquisition and Analysis of Skin Impedance in Parkinson’s Disease 1 Introduction 2 Methods 2.1 Impedance Analyzer 3 Database Collection Details 4 Results 5 Discussion 6 Conclusion References Automation of Soil Nutrient Measurement System and Irrigation Control 1 Introduction 2 Previous Research 3 Materials and Methods 3.1 Block Diagram and Working 3.2 Formulae Used 3.3 Implementation 4 Results and Conclusion 4.1 Validation of Sensor 4.2 Novelty 5 Conclusion References Performance Evaluation of Perovskite Solar Cells at Elevated Temperatures 1 Introduction 2 Model System 3 Results and Discussions 4 Conclusions References Implementation of Transfer Learning Technique for the Detection of COVID-19 1 Introduction 2 Data Creation 3 Proposed Model 4 Experiment and Results 5 Conclusion References Blockchain Enabled and Changeable Threshold-Based Group Specific Multiple Keys’ Negotiation 1 Introduction 2 Related Works 3 Preliminaries 3.1 Shamir’s (t, n) Threshold Scheme 3.2 Blockchain Technology 4 Proposed Method 4.1 Our Proposed Genesis and Data Block 4.2 Our Proposed Method 5 Conclusion References Speech to Sign Language Conversion Using Neuro Fuzzy Classifier 1 Introduction 2 Related Works 3 Proposed Work 3.1 Speech Database 3.2 Feature Extraction 3.3 MFCC 4 ANFIS Classifier 5 Implementation 6 Results and Observations 6.1 Observations 7 Conclusions References Design and Development of an Ultra-wideband Millimetre-Wave Antenna for Short-Range High-Speed Communication 1 Introduction 2 Design Ideation 3 Simulations Analysis 3.1 Reflection Coefficients (S11) 3.2 Smith Chart 3.3 Radiation Pattern 4 Conclusion References A Comparative Analysis of BTC Variants 1 Introduction 2 Different BTC Methods 2.1 Traditional BTC 2.2 Absolute Moment Based BTC (AMBTC) 2.3 Two Parameter Method (2p BTC) 2.4 Edge Based AMBTC Method (EBTC) 2.5 Multi Grouping BTC (MGBTC) 3 Simulations and Result Analysis 4 Conclusions References Crosstalk Noise Reduction in Long Wire Interconnects Using MTCMOS Inverters 1 Introduction 2 Crosstalk Noise 2.1 Effects of Varying Coupling Capacitance and Crosstalk Generation 3 Proposed Methodology 3.1 MTCMOS Repeater Insertion to Minimize Crosstalk 4 Conclusion References GPS and GSM Enabled Smart Blind Stick 1 Introduction 1.1 Related Works 1.2 Contributions of the Paper 2 Proposed Smart Stick Model 2.1 Components 2.2 System Integration 3 Conclusion References Prediction of Speed for Smart Insulin Pump Utilizing Adaptive Neuro-fuzzy Inference System and ANN 1 Introduction 2 System Design 2.1 Methodology 3 Results and Discussion 4 Conclusions References Curvelet Transform and ISODATA Thresholding for Retinal Vessel Extraction 1 Introduction 2 Proposed Method of Vessel Segmentation 2.1 Pre-processing 2.2 Segmentation 2.3 Post processing 3 Result and Discussion 4 Conclusion References Design  a T-Shape Cantilever Beam Using by Scilab and COMSOL 1 Introduction 2 Design Parameters 3 FEM Analysis of Gas Sensors 4 Simulation and Results 5 Conclusion References Design and Analysis of PZT-Based Piezoelectric Speakers 1 Introduction 2 Modelling 2.1 Theoretical and Simulation Analysis 3 Simulation of PZT Structure 3.1 Static Response 3.2 Dynamic Response 3.3 Magnetic Field Response 4 Results References Drowsiness and Yawn Detection System Using Python 1 Introduction 1.1 State-of-Art Method 2 Comparison of Different Techniques of Drowsiness Detection 3 Implementation 3.1 Face Detection 3.2 Eyes Detection 3.3 Yawning Detection 4 Algorithm 5 Result and Output 6 Conclusion References Intelligent Analysis of X-Ray Images for Detecting Bone Abnormality in Upper Extremities 1 Introduction 2 Methodology 2.1 Description of Dataset 2.2 Conventional Approach 2.3 CNN Approach 3 Results and Discussion 4 Conclusion References Swarm Optimization of Multiple UAV’s for Resource Allocation in Humanitarian Aid and Disaster Relief Operations 1 Introduction 1.1 Swarm UAV’s in an HADR Operation 2 Proposed Methodology 2.1 Development of Swarm System 2.2 Flight Control System and Communication Stack 2.3 GPS Inaccessible Environment 3 Mechanical Design 3.1 Overview 3.2 Frame 3.3 VTOL System 3.4 Propulsion 3.5 Modes of Operation 3.6 Electronics Housing 4 Conclusion Hardware Design of a Turbo Product Code Decoder 1 Introduction 2 TPC Decoding 3 Hardware Design of TPC Decoder 4 Results and Analysis 4.1 Effect of the Number of Iterations 5 Conclusion and Future Work References Multiple Object Detection and Tracking Using Deep Learning 1 Introduction 2 The Proposed Framework 3 Results and Analysis 3.1 Results of Pre-processing 3.2 Results of Object Detection and Tracking 4 Conclusion References Blood Donation Management System Using Android Application 1 Introduction 2 Related Works 3 Proposed Workflow 3.1 Application Layout 3.2 Firebase Real-Time Database 3.3 Google Maps 3.4 Firebase Cloud Messaging 4 Result and Comparative Analysis 5 Conclusion References Reinforcement Learning for Improving Coherence of Multi-turn Responses in Deep Learning-Based Chatbots 1 Introduction 2 Methodology 2.1 Datasets 2.2 Sequence to Sequence Model (Seq2Seq) 2.3 Reinforcement Learning (RL) 2.4 Validation 3 Results and Discussions 4 Conclusion References Intensification of Bandwidth, Return Loss and Gain of Ultra-Wideband Microstrip Antenna with Single-Band-Notch (U-Slot) Characteristics 1 Introduction 2 Antenna Design of UWB MSA with U-Slot Band Notch 2.1 Parameter Table 3 Results and Analysis 4 Conclusion References Design of Multi-utility Bottleneck Horn Antenna for Ku-, K-, and Ka-Band Applications 1 Introduction 2 Proposed Antenna Design 3 Results and Analysis 3.1 VSWR (Voltage Standing Wave Ratio) Results of Modelled Antenna 3.2 S11 Parametric Studies of Modelled Antenna 3.3 Gain and Directivity of Modelled Antenna 4 Conclusion and Future Scopes References Cyberbully Detection Using 1D-CNN and LSTM 1 Introduction 1.1 Literature Survey 2 System Design 2.1 Dataset and Preprocessing 2.2 Neural Network Architectures 3 Results and Discussions 4 Conclusion References Comparative Study of Skin Lesion Segmentation and Feature Extraction in Different Color Spaces 1 Introduction 2 Skin Lesion Segmentation—Proposed Method 3 Investigational Outcomes and Discussion 4 Conclusion References Recognition of Handwritten Digit in Free Space 1 Introduction 2 Methodology 2.1 OpenCV 2.2 Convolution Neural Network 2.3 Flow Chart 3 Project Description 4 Conclusion References An Area-Efficient 1.23 V Current-Mode Bandgap Reference with Start-Up Circuit 1 Introduction 2 State of Art BGR Circuit 3 Proposed BGR Circuit 4 Post-layout Simulation Result 5 Conclusion References Design of AlGaAs/InGaAs/GaAs-Based PHEMT for High Frequency Application 1 Introduction 2 Device Structure 3 Optimization Techniques Used in the Proposed HEMT Design 3.1 Gate Length 3.2 Channel Thickness 3.3 Indium Concentration 3.4 Silicon δ-Doping Technology 4 Result and Discussion 5 Conclusion References Signal Propagation Modelling on the Inner Surface of Human Arm 1 Introduction 2 Related Work 3 Channel Modelling Setup 4 Result and Observations 5 Conclusion References Detection of Brain Tumor from MR Images Using BWT and SOM-SVM with Authentication 1 Introduction 2 Development of Proposed Algorithm 3 Results and Discussion 4 Conclusion References Wavelet Transform for Signal Compression in Sparse Algorithms 1 Introduction 2 Data Compression by Using Wavelet Transform 3 Simulation Results 3.1 Gaussian Random Input 3.2 Colored Input 3.3 Speech Signal 3.4 Band-Limited Signal 3.5 Uniform Random Signal 4 Conclusion References Performance Evaluation Based on Classification of Web Log Data: A Machine Learning Approach 1 Introduction 2 Literature Review 3 Methodology 3.1 Preprocessing 3.2 Pattern Discovery 3.3 Pattern Analysis 4 Results and Analysis 5 Conclusion References Energy and Direction Aware Routing Protocol for Flying Ad Hoc Networks 1 Introduction 2 Proposed Routing Strategy 2.1 Route Discovery Process 3 Mathematical Analyses 4 Simulation Set-up and Result Analysis 5 Conclusion References Performance Comparison of Tree-Based Machine Learning Classifiers for Web Usage Mining 1 Introduction 2 Related Work 3 Research Methodology 4 Experiment and Results 5 Conclusion References Classification and Analysis of Water Quality Using Machine Learning Algorithms 1 Introduction 2 Review 3 Methods and Material 4 Results and Discussion 4.1 Correlation Based Feature Selection 4.2 PCA Based Features 5 Conclusion and Future Scope References Extracellular Conductivity and Nerve Signal Propagation: An Analytical Study 1 Introduction 2 Related Work 3 Proposed Model 4 Results and Discussion 4.1 Simulation Considerations 4.2 Fiber with Constant Extracellular Space and Varying Diameter 4.3 Fiber with Constant Diameter and Varying Extracellular Space 5 Conclusion and Future Scope References EBN-Net: A Thermodynamical Approach to Power Estimation Using Energy-Based Multi-layer Perceptron Networks 1 Introduction 2 Proposed Algorithm 3 Results and Conclusion References Deep Convolutional Neural Network-Based Knee Injury Classification Using Magnetic Resonance Imaging 1 Introduction 2 Methodology 2.1 Transfer Learning 3 Results and Discussion 3.1 Dataset Collection and Preparation 3.2 Experimental Setup 3.3 Performance Evaluation 4 Conclusion References Performance Comparison of LSTM Models for SER 1 Introduction 2 Related Works 3 Overview of Architectures 4 Proposed Framework 4.1 Dataset 4.2 Data Augmentation 5 Results 6 Conclusion References Harmony Search Optimization-Based Direct Estimation of Harmonic Components 1 Introduction 2 Problem Formulation 3 Harmony Search (HS) Optimization Algorithm 4 Simulation Results 5 Conclusions References Di-zeta Converter-Based Solar–Wind Generating System with a Novel SMES Battery Hybrid Energy Management 1 Introduction 2 Modelling of PV and Wind Energy Conversion System 3 Propose Di-zeta Converter-Based Solar–Wind Generating System 4 SMES Modelling and Control 5 Battery Modelling and Control 6 SMES Battery Energy Management Controller 7 Simulation Results and Analysis 8 Conclusion References Design and Implementation of Mixed Signal ASIC-Event Logger in TSMC 0.18 µm CMOS Technology 1 Introduction 2 Proposed Front-End ASIC 2.1 Mixed Signal Design of Event Logger-KLEEL2020 3 Back-End Implementation of KLEEL 2020 4 Conclusion References Invasive Weed Optimized Drift Parameter Involved Differential Protection Scheme 1 Introduction 2 Proposed Method 3 Optimal Drift Parameter for Test System 4 Performance Assessment of Proposed Scheme 4.1 Line to Ground Faults 4.2 Multi-phase Faults 4.3 Symmetrical Faults 4.4 High Resistive Ground Faults 5 Conclusions References Breast Cancer Detection and Classification Employing Convolutional Neural Networks and Support Vector Machine for Histopathological Images 1 Introduction 1.1 Related Work 2 Methods 2.1 Image Dataset 2.2 Pre-processing 2.3 Feature Extraction 2.4 Classifiers 3 Results 4 Conclusion References Lobe Correction of a Miniaturized Microstrip Antenna Using SIW Cavity 1 Introduction 2 Proposed Antenna Configuration 3 Results and Discussion 3.1 Miniaturization of the Proposed Structure 3.2 Lobe Correction of the Proposed Antenna 4 Conclusion References Implementation of Custom DRC in TSMC 0.18 µm for Optimized Layout 1 Introduction 2 Framework 3 Implementation 3.1 Describing Design Rules Using Calibre Tool 3.2 Algorithms 4 Results and Discussions 5 Conclusions References Design of Current Mode MOS Logic for Low-Power Digital Applications 1 Introduction 2 MOS Current Mode Logic Operation 2.1 Derivation of MCML Gate Performance 2.2 MCML Inverter 2.3 MCML Tristate Buffer 3 Results and Comparison 4 Conclusion References Augmented Reality as a Supported Educational Method for Embedded Devices and Technology 1 Introduction 2 Proposed Method and Its Implementation 3 Application Development 4 Result and Analysis 5 Conclusion References Reweighted Zero-Attracting Modified Variable Step-Size Continuous Mixed p-Norm Algorithm for Identification of Sparse System Against Impulsive Noise 1 Introduction 2 RZA-MVSS-CMPN Algorithm 3 Simulation Results 3.1 RZA-MVSS-CMPN Algorithm’s Performance for a System with Sparsity l = 1,4 3.2 The Presented Algorithm’s Performance for a System with Sparsity l = 8 4 Conclusion References A Semantic-Based Information Retrieval System 1 Introduction 2 Related Work 3 Proposed Model for IR 3.1 Document Repository Creation and Clustering 3.2 Query Processing 3.3 Domain Classification 3.4 Keyword Selection 3.5 Information Retrieval and Ranking 4 Results and Performance Analysis 5 Conclusions References Multiband Ultrathin Terahertz Metamaterial Absorber for Sensing Application 1 Introduction 2 Design of MMA 3 Results and Discussion of Simulation Work 4 Conclusion References Frequency Estimation Using Adaptive Algorithm 1 Introduction 2 Mathematical Modeling 3 Stability in Mean 4 Simulation Result 5 Conclusion References An Improved Ridge Regression-Based Extreme Learning Machine for the Prediction of Diabetes 1 Introduction 2 Extreme Learning Machine 2.1 Ridge ELM 2.2 Proposed Ridge ELM with Fire Fly Algorithm 3 Experimental Results 4 Conclusion References MIMO-OFDM Outdoor Channel Estimation Using Sparse Momentum Fractional Adaptive Filter 1 Introduction 2 Proposed Channel Estimation Algorithm for Jake’s Outdoor Model 3 Simulation and Results 4 Conclusion References Real-Time Electromyographic Hand Gesture Signal Classification Using Machine Learning Algorithm Based on Bispectrum Feature 1 Introduction 2 Proposed Methods 2.1 Database Description 2.2 Experiment Protocol 2.3 Data Segmentation 2.4 Bispectrum-Based Feature Extraction 2.5 Classification 3 Results and Discussion 4 Conclusion References Design of Microwave Filters Using Swarm-Based Optimization Techniques 1 Introduction 2 Optimization Algorithms 3 Cost Function Formulation 4 Results and Observations 5 Conclusion References Author Index

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