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

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