Emerging Technology Trends in Electronics, Communication and Networking: Third International Conference, ET2ECN 2020, Surat, India, February 7–8, ... in Computer and Information Science (1214))

Description

This book constitutes refereed proceedings of the Third International Conference on Emerging Technology Trends in Electronics, Communication and Networking, ET2ECN 2020, held in Surat, India, in February 2020. The 17 full papers and 6 short papers presented were thorougly reviewed and selected from 70 submissions. The volume covers a wide range of topics including electronic devices, VLSI design and fabrication, photo electronics, systems and applications, integrated optics, embedded systems, wireless communication, optical communication, free space optics, signal processing, image/ audio/ video processing, wireless sensor networks, next generation networks, network security, and many others. Preface Organization Cell Phone/Tower Radiation Hazards and Solutions (Plenary Speaker) Keynote Speakers The How Industrial IoT - Setting Yourself Up for Success Understanding 5G NR REL 15,16 Standards Low-Power Neuromorphic Computing Architectures for Edge-Computing The Platform Economies and Privacy as Their Currency Contents I Electronics QR Code Scanner Enabled Smart Car Parking System Using Raspberry Pi with Android App Access Abstract 1 Introduction 2 Methodology 3 Experimental Setup 4 Results and Discussion 5 Conclusion References Smart Automated Energy Meter Abstract 1 Introduction 1.1 Literature Survey and Related Work 2 System Overview 3 Design of Automated Energy Meter 3.1 Hardware Implementation 3.2 Software Implementation 4 Result 5 Conclusion References A High Efficiency Six Phase Voltage Doubler Cell Using 180 nm CMOS Process Abstract 1 Introduction 2 Structure and Operation of Proposed SPVD Architecture Cell 2.1 Architecture 2.2 Operation 3 Results and Comparison 4 Conclusion Acknowledgement References Long Period Fiber Grating Sensors Design Optimization Using Jaya Algorithm Abstract 1 Introduction 2 LPFG Mathematical Model 3 Jaya Optimization Algorithm 4 Results 5 Conclusion References Strategy for Designing Single Electron Transistors Abstract 1 Introduction 2 SET Device Planning and Mathematical Analysis 2.1 Mathematical Analysis 2.2 SET Design Strategy 2.3 SET Device Planning 3 Result and Analysis 3.1 SET Device Physics 3.2 Simulation Results 4 Conclusion References Experimental Study on Etching of Fiber Bragg Grating for Sensing Application Abstract 1 Introduction 2 Fundamental 3 Experimental Work 3.1 Fabrication of FBG 3.2 Etching of FBG 4 Results and Discussion 5 Conclusion References Fabrication of Macro Porous Silicon Structures Using Pulsed Fiber Laser Technique for Capacitive Sensor Application Abstract 1 Introduction 2 Experimental Set-Up 3 Results and Discussion 4 Conclusions Acknowledgments References I Communication Target Tracking Using a Hybrid KF-PSO Tracking Model in WSN Abstract 1 Introduction 2 Target Tracking in WSN 3 Proposed Hybrid KF-PSO Tracking Model 4 System Model 4.1 Kalman Filter 4.2 Particle Swarm Optimization 4.3 Proposed Network Modeling 5 Simulation Results 5.1 Simulation Parameters 5.2 Results 6 Conclusion References New Modelisation of Silicon DWDM Demux, AND Gate for Wavelengths in C and L Bands Abstract 1 Introduction 2 Photonic Band Gap 3 Proposed Design 3.1 DWDM Demultiplexer 4 Logic Gates 4.1 Edge Rod Optimization 5 Process Flow 6 Conclusion References Outage and SNR Performance of Tropical Optical Wireless Links Using Receiver Diversity Abstract 1 Introduction 1.1 Rain Specific Attenuation 2 Receiver Diversity and Combining Methods 2.1 Combining Techniques 2.1.1 Selection Combining (SC) 2.1.2 Maximum Ratio Combining (MRC) 2.1.3 Equal Gain Combining (EGC) 2.2 The SNR in Presence of Absorption and Scattering 3 Experimental Set-up 3.1 Implementation of Receiver Diversity Combining 3.2 Channel Response of 10 Mbps-OOK Under Tropical Rain Intensities 4 Results and Discussions 4.1 SNR 4.2 Outage Probability 5 Conclusion References A Comparative Evaluation of Low-Complexity LAS Detection Algorithm for Massive MIMO Systems Abstract 1 Introduction 1.1 Outline 1.2 Notations 2 System Model 2.1 LAS Detection Algorithm 3 Analytical Evaluation of LAS Algorithm 4 Computational Complexity 5 Simulation Results and Discussion 6 Conclusion References Evaluation of Gain and Noise Figure Spectrum of EDFA by Optimizing its Parameters with Different Pumping Schemes in the Scenario of WDM System Abstract 1 Introduction 2 System Model 2.1 Amplification of EDFA Signal 3 Result and Discussions 3.1 Analysis of Gain and NF for EDFA with Co Pumping 3.2 Analysis of Gain and NF for EDFA with Counter Pumping 3.3 Analysis of Gain and NF for EDFA with Bi Directional Pumping 3.4 Analysis of Gain and NF for EDFA with Co, Count and Bi Directional Pumping 4 Conclusion References Emerging Threats in Cloud Computing Abstract 1 Introduction 2 Cloud Security Current Issues Perceived by Cyber Security Agencies 2.1 NIST Cloud Security Standards and Concerns 2.2 CSA Concerns Towards Cloud Security and Privacy 2.3 ENISA Security Concern Towards Cloud Computing 3 Common Security Concerns by Cloud Consumer 3.1 Cloud Security Concepts 3.2 Common Cloud Security Threats 4 Research Challenges in Cloud Computing 4.1 Audit Trail 4.2 Cloud Forensics 4.3 Legal and Compliance 4.4 Open Source Issues in Cloud Computing Environment 5 Conclusion References Reduction in Complexity of Anti-jamming with Interference Approximation and Classification Algorithm Abstract 1 Introduction 2 System Model 2.1 GNSS Signal and Interference Models 2.2 Design Flow of Proposed IAC Algorithm 3 Results Analysis 3.1 Analysis at ALE Stage 3.2 Analysis at LPD and PET Stage 3.3 Analysis of the Decision Making Stage 3.4 Analysis of Kalman Filter 3.5 Summary 4 Conclusion References I Networking Effect of EEG Dual-Channel Acquisition and Gender Specification Subjects on the Classification of Sleep Stages Using Machine Learning Techniques Abstract 1 Introduction 2 Related Work 3 Data Description 4 Methods 4.1 Data Pre-processing 4.2 Feature Extraction 4.3 Feature Selection 4.4 Classification 5 Experiment and Discussions 6 Conclusion References Hyperspectral Endmember Extraction Algorithm Using Convex Geometry and K-Means 1 Introduction 2 Problem Statement and Literature 3 Proposed Work 3.1 Band Normalization 3.2 Co-variance Between Bands 3.3 Convex Points of Two Points Data 3.4 Extra Points Removal Using Kmeans Clustering 4 Datasets and Evaluation Indices 4.1 Datasets 4.2 Evaluation Indices 5 Simulation Results 5.1 Simulation with Simulated Data 5.2 Simulation with Real-World Data 6 Conclusion References Automatic Melanoma Detection System (AMDS): A State-of-the-Art Review Abstract 1 Introduction 2 Review Based on the Pre-processing Stage 3 Review Based on the Segmentation Stage 4 Review Based on the Feature Extraction Stage 5 Review Based on the Classification Stage 6 Publically Available Datasets 7 Conclusion References Comparative Study of Sentiment Analysis and Text Summarization for Commercial Social Networks Abstract 1 Introduction 2 Related Work 3 Proposed Work 4 Methodology and Concepts 5 Execution and Implementation 5.1 Data Extraction 5.2 Data Pre-processing 5.3 Execution 6 Results and Discussions 7 Conclusion References An Approach for Fusion of Thermal and Visible Images 1 Introduction 2 Proposed Network 3 Experimental Evaluation 4 Conclusion References Indian Sign Language Recognition Using Framework of Skin Color Detection, Viola- Jones Algorithm, Correlation-Coefficient Technique and Distance Based Neuro-Fuzzy Classification Approach Abstract 1 Introduction 2 Objective 3 Related Study 4 Research Methodology 4.1 Image Processing 4.2 Feature Extraction and Classification 4.2.1 Correlation-Coefficient Algorithm 4.2.2 Neuro-Fuzzy (NF) Algorithm 4.3 Natural Language Processing 5 Result and Discussion 6 Conclusion and Future Work References Stroke Extraction of Handwritten Gujarati Consonant Using Structural Features Abstract 1 Introduction 2 Stroke Based Analysis of Gujarati Characters 3 Proposed Architecture 3.1 Image Acquisition 3.2 Grayscale Conversion 3.3 Noise Removal 3.4 Binarization 3.5 Thinning 3.6 Endpoint and Junction Point Detection 3.7 Stroke Extraction 4 Conclusion 5 Future Work References Convolutional Neural Network Based Chest X-Ray Image Classification for Pneumonia Diagnosis Abstract 1 Introduction 2 Literature Review 3 Methodology 3.1 Proposed Model 3.2 Input Preprocessing 3.3 Description of the Architecture 3.4 Dataset 3.5 Computational Logistics 3.6 Training and Testing 4 Results 4.1 Confusion Matrix 4.2 Fundamental Performance Parameters 4.3 Validation Accuracy and Loss 4.4 ROC Curve and AUC 5 Discussion 5.1 Empirical Determination of Hyperparameters 5.2 Performance Comparison 6 Conclusion Acknowledgment References Plant Leaf Disease Detection Using Machine Learning 1 Introduction 2 Related Work 3 Methods and Materials 3.1 Data Pre-processing 3.2 Training the CNN Network 4 Results 4.1 Dataset Details 4.2 Data Pre-processing 4.3 Simulation Results 5 Conclusion References Author Index