Modern Electronics Devices and Communication Systems: Select Proceedings of MEDCOM 2021

MEDCOM 2021 Luminaries
Preface
Contents
About the Editors
A Review of State of Art Techniques for 3D Human Activity Recognition System
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Input Image/Video
		3.2 Object Detection
		3.3 Feature Extraction
		3.4 Object Classification
	4 Datasets
	5 Challenges in HAR Dataset
	6 Conclusion and Future Work
	References
Comparative Analysis for Email Spam Detection Using Machine Learning Algorithms
	1 Introduction
	2 Literature Survey
		2.1 Existing Approaches
	3 Proposed Method
		3.1 Proposed Algorithm and Workflow
		3.2 Performance Evaluation Criteria for Algorithm
	4 Results
	5 Conclusion and Future Work
	References
Post-quantum Cryptography: A Solution to the Challenges of Classical Encryption Algorithms
	1 Introduction
	2 Background
		2.1 Classical Cryptography
		2.2 Quantum Computers
		2.3 Post-quantum Cryptography (PQC)
	3 Literature Review
	4 Related Work
		4.1 Rainbow
		4.2 McEliece
		4.3 Ring Learning with Errors (LWEs)
		4.4 Merkle Signature
	5 Conclusion
	References
A Survey on Performance Analysis of Different Architectures of AES Algorithm on FPGA
	1 Introduction
	2 Literature
	3 AES Algorithm
		3.1 subBytes Transformation
		3.2 shiftRow Transformation
		3.3 mixColumn Transformation
		3.4 addRoundKey Transformation
	4 Different Architectures for AES
		4.1 Iterative Architecture
		4.2 Sequential or Loop Unrolling Architecture
		4.3 Pipelined Architecture
		4.4 Parallel Architecture
	5 Performance Analysis of AES Architectures
	6 Conclusion
	References
Designing Adiabatic Techniques for Logic Circuits
	1 Introduction
	2 Adiabatic Techniques
		2.1 Efficient Charge Recovery Logic (ECRL)
		2.2 Diode Free Adiabatic Logic (DFAL)
	3 Power Consumption Comparison and Verification
		3.1 Variation in Load Capacitance
		3.2 Supply Voltage Variation
	4 Conclusion
	References
Accuracy and Performance of Heart Failure Prediction System by Using Backpropagation Network (BPN)
	1 Introduction
	2 Literature Review
	3 Machine Learning Techniques Used
		3.1 Naïve Bayes
		3.2 REPTree Classifier
		3.3 AdaBoost
		3.4 J48 Classifier
		3.5 Logistic Regression (LR)
		3.6 Support Vector Machine (SVM)
	4 Proposed System
		4.1 Artificial Neural Network (ANN)
		4.2 Backpropagation Network
		4.3 Learning as an Optimization Problem
		4.4 Gradient Descent
		4.5 Derivative Error
		4.6 Loss Function
	5 Experimental Analysis
	6 Conclusion
	References
Analysis and Implementation of Microsoft Azure Machine Learning Studio Services with Respect to Machine Learning Algorithms
	1 Introduction
		1.1 Concept of Azure Machine Learning
	2 Literature Survey
	3 Services of Azure Machine Learning
	4 Components of Azure Machine Learning
	5 Microsoft Azure ML Studio
	6 Case Study: Implementation of Bayesian Algorithm In-Flight Delay Data Set Using Microsoft Azure Machine Learning
	7 Case Study: Implementation of K-Means Clustering Algorithm in Restaurant Rating Data Set Using Microsoft Azure Machine Learning
	8 Advantages of Azure Machine Learning
	9 Conclusion
	References
Design and Analysis of Dual-Band Compact Antenna for 5G Communication Applications
	1 Introduction
	2 Antenna Design and Analysis
	3 Results and Discussion
	4 Conclusion
	References
Design and Analysis of Graphene-Based Metasurface Absorber for Temperature and Refractive Index Sensing in THz Spectrum
	1 Introduction
	2 Analysis of Absorber and Its Equivalent Circuit
	3 Complex Reflection Coefficient (Г)
	4 Results and Discussions
	5 Conclusions
	References
Optimizing and Validating Performance of 40 Gbps Optical System
	1 Introduction
	2 Methodology
		2.1 Optical System
	3 Results and Discussion
		3.1 RSM Optimizer
		3.2 Validation
	4 Conclusion
	References
Medical Image Analysis Using Soft Computing Feature Selection and Classification of Skin Cancer
	1 Introduction
		1.1 Adaptive Resonance Theory for Pattern Recognition
	2 Design of the Project
		2.1 Collection of Melanoma Skin Cancer Images
		2.2 Image Processing
		2.3 Region of Interest
		2.4 Boundary Extraction
		2.5 Region of Interest
		2.6 Feature Extraction
		2.7 Texture Parameters
		2.8 Texture Analysis
	3 Dataset Preparation for Art 1
		3.1 Data Description
		3.2 Information
		3.3 Attribute Information
		3.4 Database
	4 Pattern Recognition Using Adaptive Resonance Theory
		4.1 Media Learning in Art
		4.2 Art 1
		4.3 Description
		4.4 Skin Cancer Detection Using ART 1 Network
	5 Virtual Conversion
	6 Simulation and Results of Art1
		6.1 Using Weka 3 for Classification and Prediction
		6.2 Classifying New Data
		6.3 Output of WEKA Classifier
	7 Future Scope
	8 Conclusion
	References
Comparative Study of Fuzzy, PID, and 2DOF-PID Controller for Liquid Level Control System
	1 Introduction
	2 Mathematical Modeling
	3 Control Schemes
		3.1 PID Control Scheme
		3.2 Fuzzy Design Method
		3.3 2DOF PID Control Scheme
	4 Simulation Results
	5 Conclusion
	References
IOT-Based Self-nourishing System for Plants
	1 Introduction
	2 Related Work
	3 Workflow of Self-nourishing System
	4 Results and Discussions
	5 Conclusion and Future Scope
	References
Social Distance Alerting Device for COVID-19
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Flow Chart of the Device Working
		3.2 Device Block Diagram Overview
	4 Experiment
		4.1 Application
	5 Conclusion
	6 Future Scope
	References
BWDS-Based Spatially Dabble Couple Horizontal-Vertical 4-Port PIPO DRA with Poly-Pattern Diversity
	1 Introduction
	2 Arrangement and Analysis of Proposed Antenna
	3 Experimental Results
	4 Conclusions
	References
Design of U-Shaped MIMO Antenna for Wi-Fi Application
	1 Introduction
	2 U-Shaped MIMO Antenna Design
	3 Results and Discussion
	4 Conclusion
	References
Comparative Study of Parametric Disturbances Effect on Cart-Inverted Pendulum System Stabilization
	1 Introduction
	2 Model of an Inverted Pendulum on a Cart
	3 Simulations and Results
		3.1 Variable Pendulum Mass (M)
		3.2 Variable Pendulum Length (l)
		3.3 Variable Cart Mass (M)
	4 Conclusion
	References
Efficient Design of QCA ADD-SUB Subsystem for Future Microprocessors
	1 Introduction
	2 Logical Premitives of QCA
	3 Performance Measures
	4 Proposed ADD-SUB Circuit
	5 Simulation Results and Comparisons
	6 Conclusion
	References
Predication of Diabetes Through Machine Learning Technique
	1 Introduction
		1.1 Machine Learning
		1.2 Types of Machine Learning
	2 Types of Diabetes
	3 Literary Survey
	4 Methodology
		4.1 Parameters Uses in Dataset of Diabetes
		4.2 Proposed Model
		4.3 Brief Description of the Algorithms
		4.4 Stepwise Process of Proposed Methodology
	5 Results and Discussions
		5.1 Confusion Matrix
	6 Conclusion and Future Scope
	References
Study of Gate Workfunction Modulated FinFET with Effect of TID
	1 Introduction
	2 Device Structure
	3 Results and Discussion
	4 Conclusion
	References
Prediction of Accuracy and Performance of Crop Production by Using Machine Learning Algorithm
	1 Introduction
	2 Literature Survey
	3 Classification of Machine Learning Algorithms
		3.1 Naive Bayes Classifier
		3.2 Generalized Linear Model (GLM)
		3.3 Deep Learning Model (DLM)
		3.4 Decision Tree (DT)
	4 Proposed Work
		4.1 Random Forest (RF)
	5 Experimental Analysis
	6 Conclusion and Future Work
	References
Cognitive Load Classification in Alcoholic and Control Subjects Performing Delayed Matching Task Using Optimizable Classifier Networks
	1 Introduction
	2 Materials and Methods
		2.1 Task and Dataset Description
		2.2 Preprocessing and Feature Calculation
		2.3 Classification
	3 Results
	4 Conclusion
	References
Energy Detection in Cognitive Radio Networks to Optimize the Spectrum Utilization Through Cooperative Spectrum Sensing Using Weights
	1 Introduction
	2 Cognitive Radio Networks and Its Various Aspects
		2.1 Cognitive Cycle
	3 Spectrum Sensing Techniques
		3.1 Cooperative Spectrum Sensing
	4 Simulation Model, Data Collection, Feature Extraction
		4.1 Simulation Model
		4.2 Data Collection
		4.3 Feature Extraction
	5 Experiments and Results
	6 Conclusion
	References
Real-Time Tracking of Health Parameters Using IOT and Data Logger: Application to COVID-19
	1 Introduction
	2 Related Work
	3 System and Overview
	4 Description of System Components
		4.1 DHT11 Sensor
		4.2 Heartbeat Sensor
		4.3 Accelerometer Sensor
		4.4 IOT in Data Logging
		4.5 Arduino
		4.6 Wi-Fi Module
	5 Software and Hardware Requirement
		5.1 ThingSpeak
		5.2 Results and Discussion
	6 Conclusion
	References
Real-Time Facial Detection Using MATLAB (Utilizing VJ Method)
	1 Introduction
	2 Review of Literature
	3 Perspective of Viola–Jones Algorithm
	4 Results of Performance
	5 Conclusion
	References
Hardening of EMP in Shielded Enclosure for Radiated Fields
	1 Introduction
	2 Theory and Computation of Shielding
	3 Shielding Effectiveness of Enclosure
		3.1 Shielding Effectiveness of an Array of Waveguides
	4 Shielding Effectiveness of Waveguide
	5 Shielding Effectiveness Analysis of the Number of Waveguides
		5.1 Design Procedure of Shielded Enclosure with Point of Entries
	6 Simulation Analysis of Shielded Enclosure with Rectangular Waveguide
		6.1 Simulation Analysis of Shielded Enclosure with Four Rectangular Waveguide
		6.2 Simulation Analysis of Shielded Enclosure with Honeycomb Structure
	7 Results
		7.1 Electric Shielding Effectiveness of Single Waveguide
		7.2 Electric Shielding Effectiveness of 2 * 2 Matrix Waveguide
	8 Conclusion
	References
Review on Optimizing Text-Video Retrieval Using CLIP (Contrastive Language-Image Pre-training)
	1 Introduction
	2 Related Work
		2.1 Video Representation Method
		2.2 A Vision, Language, and Speech Supervision
		2.3 Text Retrieval Representation
	3 Related Work Methodology
		3.1 Text-Video Retrieval
		3.2 Video-to-Text Datasets
		3.3 Comparison with State-of-the-Art
	4 Discussion
	5 Conclusion
	References
Argument Mining: A Categorical Review
	1 Introduction
		1.1 Evidence or Premise
		1.2 Claim or Conclusion
	2 Research Method
	3 Sources of Argument Mining
		3.1 Social Media (like Twitter)
		3.2 Wikipedia
		3.3 Scientific Articles
		3.4 Essays
		3.5 Newspaper
		3.6 Legal Documents
		3.7 Political Debates and Speeches
		3.8 Product Reviews
		3.9 Blogs
		3.10 Online Discussions
	4 Structures of Argument
		4.1 Convergent
		4.2 Linked
		4.3 Divergent
		4.4 Sequential
		4.5 Hybrid
		4.6 Rebutting
		4.7 Undercutting
	5 Frameworks for Argument Mining
		5.1 Argument Extraction
		5.2 Relation Prediction
	6 Features for Argument Extraction and Relation Prediction
		6.1 Word Level
		6.2 Contextual Polarity
		6.3 Dependency Parsing
		6.4 Sentence Splitting
		6.5 Negation
		6.6 Feature Cutoff
		6.7 History Features
	7 Conclusion and Future Scope
	References
Optimizing Text: Representation of Similarity Using Machine Learning
	1 Introduction
		1.1 PCA Dimensionality Reduction Techniques
		1.2 Kernel PCA
		1.3 Semidefinite Embedding
		1.4 Minimum Volume Embedding
	2 Literature Review
		2.1 Component Extraction
	3 Methodology and Discussion
	4 Experiments
		4.1 Text Representation
		4.2 Dataset
	5 Results
	6 Conclusions
	References
Experimental Analysis on Aging Evaluation of Transformer Oil via Data Collection
	1 Introduction
	2 Literature Review
		2.1 Related Works
	3 Description of Experimental Data Collection Process for Aging Evaluation of PT Insulation Oil
		3.1 Details of PTs
	4 Explanation on Varied Parameters
		4.1 BDV
		4.2 Moisture
		4.3 Resistivity
		4.4 DDF
		4.5 Interfacial Tension
		4.6 Flashpoint
	5 Effect of Deep Learning and Machine Learning on Aging Assessment
	6 Conclusion
	References
A Systematic Survey of Automatic Text Summarization Using Deep Learning Techniques
	1 Introduction
	2 Automatic Text Summarization
		2.1 Extractive Summarization
		2.2 Abstractive Summarization
		2.3 Evaluation Techniques
		2.4 Datasets
	3 Deep Learning-Based Automatic Text Summarization
		3.1 Deep Learning-Based Extractive Summarization
		3.2 Deep Learning-Based Abstractive Summarization
	4 Challenges in Text Summarization
	5 Conclusion and Future Work
	References
An IoT-Based Smart Garbage Collection and Monitoring System
	1 Introduction
	2 Literature Survey
	3 Proposed Model
	4 Experimental Setup and Results
	5 Conclusions
	References
Estimation of Accuracy in Gender Identification Based on Voice Signals Using Different Classifiers
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 About the Database
		3.2 The Architecture of the Gender Recognition System
		3.3 Extraction of the MFFCs
		3.4 Classification Algorithms
		3.5 Support Vector Machine (SVM)
		3.6 Recurrent Neural Network (RNN)
		3.7 Linear Discriminant Analysis (LDA)
	4 Results and Discussion
	5 Conclusion
	References
Detection of Covid-19 Using CT-Scan Images and Deep Transfer Learning
	1 Introduction
	2 Related Work
	3 Methodology
	4 Results and Discussions
	5 Conclusion
	References
Controlling Load Frequency in a Hybrid Power System Including Electrical Vehicles
	1 Introduction
	2 Test System
		2.1 State of Charge (SOC) Mode
		2.2 PID Control Scheme
	3 Simulation Results
		3.1 Case I: Only Thermal, Geo, Hydro Power Plants Have Been Considered to Contribute in LFC Scheme
		3.2 Case II: Wind, Thermal, Geo, Hydro Power Plants Have Been Considered to Contribute in LFC Scheme
		3.3 Case III: Wind and Solar Power Plant with Hydro, Geo, Thermal Power Plants
		3.4 Case IV: Wind, Solar, and Conventional Power Plant with Random Load
	4 Conclusion
	References
Lung Cancer Detection Using CT Scan Images
	1 Introduction
	2 Literature Survey
	3 Proposed Method
		3.1 CT Scan Images
		3.2 Preprocessing Stage
		3.3 Watershed Segmentation
		3.4 Morphological Transformation
		3.5 Feature Extraction
	4 Experimental Results
	5 Conclusion
	References
A Wideband Microstrip Line-Based Balun Structure for High Power Amplifier Applications
	1 Introduction
	2 Balun Design and Consideration
		2.1 Even Mode Circuit Analysis
		2.2 Odd Mode Circuit Analysis
	3 Results and Discussion
	4 Conclusion
	References
Principal Component Analysis of LISS—III Images Using QGIS
	1 Introduction
	2 Literature Survey
	3 Study Area and Data
	4 Methodology
	5 Results and Analysis
	6 Conclusion
	References
A Review on Different Preprocessing and Feature Extraction Technique for SSVEP BCI Inference System
	1 Introduction
		1.1 SSVEP BCI System
	2 Signal Preprocessing
		2.1 Frequency Filtering Approach
		2.2 Spatial Filtering Approach
	3 Feature Extraction Method
		3.1 Fourier-Based Transform
		3.2 Wavelet Transforms (WT)
		3.3 Hilbert Hung Transform (HHT)
		3.4 Canonical Correlation Analysis (CCA)
	4 Conclusion
	References
Digital IC Tester Using Advanced Microcontroller Board Interfaced with GUI MATLAB
	1 Introduction
	2 Working of the Proposed System
		2.1 Auto-Search Method
		2.2 Manual-Checking Method
	3 Working with MATLAB and Arduino Board
		3.1 Hardware of the Proposed System
		3.2 Software of the Proposed System
	4 Results of Proposed IC Tester
	5 Conclusion
	References
A Simulation-Based Model for Detecting Fall of Elders Using Proteus
	1 Introduction
	2 Background
		2.1 Rationality Behind Choosing the Project
	3 Literature Survey
	4 Objectives
	5 Methodology
		5.1 Proteus Design Suit
		5.2 Circuit Diagram
		5.3 Components
	6 Advantages
	7 Novel Approach
	8 Conclusion
	References
Simulation of a Microgrid with OpenDSS an Open-Source Software Package
	1 Introduction
	2 Open-Source Software
		2.1 Internet-Based Power System Simulator (InterPSS)
		2.2 Matpower
		2.3 Psst
		2.4 Pandapower
		2.5 Anylogic
		2.6 Repast
		2.7 RAPSim
		2.8 Aprem
		2.9 PowerWorld Simulator
		2.10 GridLAB-D
		2.11 OpenDSS
	3 Modeling of the Network Using OpenDSS
	4 Implementation of OpenDSS for Simulating a Microgrid
	5 Result and Discussion
		5.1 IEEE 13 Node System
		5.2 IEEE 13 Node System with Conventional Generators
		5.3 IEEE 13 Node System with Conventional Generator and Solar and Wind Power Generator
	6 Conclusion
	References
Heart Condition Forecasting Using High-Accuracy ANN Algorithms
	1 Introduction
	2 Related Work
	3 Methodology and Analysis
		3.1 Data Sources
		3.2 Architecture of the Model
		3.3 Algorithms Explanation
	4 Results and Discussions
	5 Conclusion
	References
Internet of Thing (IoT): Routing Protocol Classification and Possible Attack on IOT Environment
	1 Introduction
	2 Introduction and Architecture of IoT
	3 Routing Protocols Classification
		3.1 Routing Protocol for Low-Power and Lossy Networks (RPL)
		3.2 Collection Tree Protocol (CTP)
		3.3 Lightweight On-Demand Ad Hoc Distance-Vector Routing Protocol-Next Generation (LOADng)
		3.4 CORPL
	4 Possible Attacks and Its Effects on IoT Network
		4.1 Denial-Of-Service (DOS)
		4.2 Distributed-Denial-Of-Service (DDOS)
		4.3 Spoofed, Alter, Replay Routing Information
		4.4 Sybil Attack and Clone ID Attack
		4.5 Sinkhole Attack
		4.6 Selective Forwarding Attack
		4.7 Hello Flooding Attack
		4.8 Wormhole Attack
	5 Conclusion
	References
Operating Frequency Prediction  of Annular Ring Microstrip Antenna Using Extreme Learning Machine
	1 Introduction
	2 Extreme Learning Machines
	3 Antenna Design and Simulation
	4 Data Generation and Training
		4.1 Result and Discussion
		4.2 Conclusion
	References
Challenges and Future Perspectives of Low-Power VLSI Circuits: A Study
	1 Introduction
	2 Need for Low-Power Design
	3 Sources of Power Dissipation
	4 Methodologies of Low-Power Consumption
		4.1 Process Technology Reduces Power Consumption
		4.2 Circuit/logic Design Reduces Power Consumption
		4.3 Using an Architectural Model to Reduce Power Consumption
		4.4 Quantum Computing
		4.5 Impact of Power Dissipation
	5 Conclusion
	References