Advances in Signal Processing, Embedded Systems and IoT: Proceedings of Seventh ICMEET- 2022

Committee
Preface
Contents
About the Editors
Interference and Cancellation Issues for an Indoor VLC Network
	1 Introduction
	2 Research Proposal
	3 System Model
	4 Results and Analysis
	5 Conclusion
	References
FPGA-Based 128-Bit RISC Processor Using Pipelining
	1 Introduction
	2 Literature Survey
		2.1 Pipelined Versus Non-pipelined
		2.2 Architecture Comparison
	3 Existing and Proposed System
	4 128-Bit RISC CPU Architecture
		4.1 Introduction
		4.2 RISC Instruction Set
		4.3 RISC Pipelining Stages
	5 Results
		5.1 Simulation Results
		5.2 Analysis Data
	6 Conclusion
	References
Analysis and Implementation of a Multi-path and Metal-Stacked 8-Shaped Inductor
	1 Introduction
	2 Literature Survey
	3 Analysis of Multi-path and Metal-stacked 8-shaped Inductor
	4 Conclusion
	References
Improved Conversion Gain with High SFDR and Highly Linear RF Mixer Using Inductive Gate Biasing Technique for Low Power WAS and Radio LAN Applications
	1 Introduction
	2 Literature Survey
	3 Design Methodology
		3.1 Conventional Double Balanced Mixer (CDBM)
		3.2 Proposed Double Balanced Mixer (PDBM)
	4 Results and Discussion
	5 Comparison of Results
	6 Conclusion
	References
Performance of a MIMO-OFDM-Based Opto-Acoustic Modem for High Data Rate Underwater Wireless Communication (UWC) System
	1 Introduction
	2 Related Works
	3 OFDM, MIMO System, and MIMO-OFDM
	4 Design of a MIMO-OFDM-Based Opto-Acoustic Modem
	5 MATLAB Simulation Results
	6 Conclusion
	References
A New Hybrid Islanding Detection Scheme Using Discrete Wavelet Transform and Artificial Neural Networks
	1 Introduction
	2 Test System and Methodology
	3 Transformation of Discrete Wavelets
	4 DWT and ANN Analysis
	5 Results and Discussion
		5.1 Conditions of Normal Loading
		5.2 Conditions of Balanced Loading
		5.3 Conditions of Over Loading
		5.4 Switching Conditions of Inductive Load(50HP) (Non-islanding)
		5.5 Switching Condition of Capacitor (10 KVA) (Non-islanding)
	6 Comparative Assessment
	7 Conclusion
	References
Design of Speed and Area Efficient Non Linear Carry Select Adder (NLCSLA) Architecture Using XOR Less Adder Module
	1 Introduction
	2 Non Linear Carry Select Adder
		2.1 Existing NLCSLA
		2.2 NLCSLA Using BEC
		2.3 NLCSLA Using XOR Less Adder Module (MA)
	3 Assessment of Delay and Area(Theoretical)
		3.1 Assessment of Delay and Area for Modules in NLCSLA
		3.2 Assessment of Delay and Area for Existing NLCSLA
		3.3 Assessment of Delay and Area for NLCSLA Using BEC
		3.4 Assessment of Delay and Area for NLCSLA Using MA
	4 Assessment of Delay and Area (Practical)
	5 Conclusion
	References
Design and Analysis of 1 × 4 Corporate Feed Conformal Microstrip Antenna Array for X-band Spaceborne Synthetic Aperture Radar Applications
	1 Introduction
	2 Conformal Antenna Array Design
		2.1 A Single Conformal Antenna
	3 Conclusion
	References
Multilingual Text Recognition System
	1 Introduction
	2 Text Recognition Systems
	3 Multilingual Text
		3.1 Bengali Script
		3.2 Tamil Script
	4 Methodology
		4.1 Load Image
		4.2 Process Image
		4.3 Extract Text from Image
	5 Implementation, Result and Analysis
	6 Conclusion
	References
Implementing Symmetric Boundary Condition in Electromagnetic Harmonic Analysis: Two Different Approaches
	1 Introduction
	2 Existence of Symmetry in Electromagnetic Scattering by Conducting Sphere: Physical Interpretation with Field Conditions
	3 Mathematical Formulation
		3.1 Harmonic Analysis
		3.2 Potential Formulation
		3.3 Finite Element Formulation
		3.4 Implementation of Symmetric Boundary Condition Using Lagrange Multiplier Method (Method-1)
		3.5 Implementation of Symmetric Boundary Condition Using a Thin Patch (Method-2)
	4 Numerical Example
	5 Conclusions
	References
Performance Evaluation of Hardware Trojan Using FPGA
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 System Design
		4.1 Hardware Design with HT
		4.2 Software Design with HT
	5 Results and Discussion
	6 HT Challenges and Conclusion
	References
Emotion Recognition in Tweets Using Optimized SVM and KNN Classifiers
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 KNN Classifiers
		3.2 SVM Classifiers
	4 Results and Discussions
	5 Conclusion
	References
A Fused LBP Texture Descriptor-Based Image Retrieval System
	1 Introduction
	2 Related Work
	3 Proposed Framework
		3.1 System Framework Algorithm
		3.2 Similarity Measure
	4 Experimental Results and Analysis
	5 Conclusion and Future Scope
	References
Normal and Alcohol EEG Signals Classification Using Singular Spectrum Analysis
	1 Introduction
	2 Methodology
		2.1 Dataset
		2.2 Singular Spectrum Analysis
		2.3 Feature Extraction and Classification
	3 Results and Discussion
	4 Conclusion
	References
Tropospheric Zenith Delay (TZD) for Microwaves During Severe Weather Events Over a Few Indian Stations
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Results and Discussion
	5 Conclusion
	References
Biomedical Implantable Wideband Antenna with Rectangular C-shaped Radiator
	1 Introduction
	2 Antenna Design
	3 Results
	4 Conclusion
	References
Raspberry Pi Alive Human Detection Robot Using PIR Sensor
	1 Introduction
	2 Literature Survey
	3 ML In Search and Rescue Operations
	4 System Architecture
	5 Proposed Methodology
	6 Implementation and Working
	7 Result
	8 Conclusion
	References
Design of Band Reconfigurable UWB Microstrip Patch Antenna for Cognitive Radio Application
	1 Introduction
	2 Antenna Design
		2.1 Design Procedure
		2.2 Frequency Re-configurability and Switching Techniques
	3 Results
	4 Conclusion
	References
Design of Multiband Frequency Reconfigurable Antenna for Wireless Applications
	1 Introduction
	2 Antenna Geometry Description
	3 Results and Discussions
	4 Conclusion
	References
Automatic Modulation Classification Under AWGN and Fading Channels Using Convolutional Neural Network
	1 Introduction
	2 Related Work
	3 Methodology
	4 Results and Performance Characteristics of Protective Garment Antennas
		4.1 Classification of Analog Modulation Signals
		4.2 Classification of Digital Modulation Signals
		4.3 Classification of Analog and Digital Modulation Signals
	5 Conclusion
	References
Fusion of Panchromatic and Low-Resolution Multispectral Images Using Combination of PCA and Morphological Hat Transformation
	1 Introduction
	2 Proposed Fusion Approach of Low-Resolution Multispectral and Panchromatic Images
		2.1 Wavelets
		2.2 Principal Component Analysis (PCA)
		2.3 Morphological Hat Transformation (MHT)
		2.4 Fusion Rules
	3 Experimental Results
		3.1 Dataset
		3.2 Simulation Results
	4 Conclusion
	References
A Compact Circularly Polarized MIMO Diversified Antenna for 5G Mobile Applications
	1 Introduction
	2 MIMO Antenna Design and Its Analysis
		2.1 Dual-Port Monopole Antenna Analysis
		2.2 Axial Ratio Generation
	3 Results and Discussions
		3.1 Envelope Correlation Coefficient and Diversity Gain
		3.2 E-Field Distributions
		3.3 Current Distributions
		3.4 Radiation Patterns
	4 Conclusion
	References
Metasurface-Enabled Fork-Shaped Antenna for 2.45 GHz ISM Band Wearable Applications
	1 Introduction
	2 Proposed Fork-Shaped Antenna Design and Specifications
	3 Off-Body Simulation Analysis
	4 On-Body Simulation and Comparison Discussion
	5 Conclusion
	References
Segmentation of Cell Periphery from Blood Smear Images Using Dark Contrast Algorithm and K-Medoid Clustering
	1 Introduction
	2 Proposed Approach of Enhancement and Segmentation to Extract Cell Periphery
		2.1 Enhancement Using Dark Contrast Algorithm (DCA)
		2.2 Segmentation of Cell Periphery Using K-Medoid Clustering
	3 Experimental Results
		3.1 Dataset
		3.2 Simulation Results and Analysis
	4 Conclusion
	References
Groundwater Quality Assessment of Raipur City Using Machine Learning Models
	1 Introduction
	2 Methodology
		2.1 Dataset Description
		2.2 Correlation of Features
		2.3 Calculation of Water Quality Index
		2.4 Machine Learning Models
		2.5 Results
		2.6 Conclusion and Future Work
	References
Performance Analysis of Breast Cancer Data Using Mann–Whitney U Test and Machine Learning
	1 Introduction and Related Work
		1.1 Based on Breast Cancer
		1.2 Based on Feature Selection
		1.3 Based on Machine Learning
	2 Material and Method
		2.1 Material
		2.2 Method
	3 Experimental Results and Discussion
	4 Conclusion and Future Scope
	References
Skin Lesion Analysis and Classification Techniques
	1 Introduction
	2 Methods
		2.1 Systematic Review
		2.2 Data Sets
		2.3 Methods and Techniques
	3 Conclusion
	References
Dual Band Microstrip Patch Antenna with Annulated Circular Ring
	1 Introduction
	2 Antenna Design
	3 Results and Discussion
	4 Conclusions
	References
Genetically Optimized Quad-Band mm-Wave Microstrip Patch Antenna
	1 Introduction
	2 Antenna Modeling
	3 Optimization Procedure
	4 Result and Discussions
	5 Conclusions
	References
Blackhole Attack Prediction in Wireless Sensor Networks Using Support Vector Machine
	1 Introduction
	2 Literature Survey
	3 Working Environment
		3.1 Types of Attack
		3.2 Blackhole Attack
	4 Model Description and Simulation
		4.1 Topology Considered
		4.2 Dataset
		4.3 Attack Detection Using SVM
	5 Results and Discussion
	6 Conclusion
	References
Identifying Exoplanet Candidates with Machine Learning
	1 Introduction
	2 State of the Art
	3 Description of the Dataset
	4 Proposed Method
		4.1 Data Preprocessing
		4.2 Feature Selection
		4.3 Hyperparameter Tuning
		4.4 Fully Connected Model
		4.5 Random Forest Model
		4.6 PCA Followed by Fully Connected Model
		4.7 PCA Followed by Random Forest Model
		4.8 RFE Followed by Fully Connected Model
		4.9 RFE Followed by Random Forest Model
	5 Result Analysis
		5.1 Varying Numbers of Hidden Layers
		5.2 Varying Batch Size
		5.3 Varying Number of Neurons
		5.4 Comparison of Models
	6 Conclusion
	References
Feature Selection in Corporate Bankruptcy Prediction Using ML Techniques: A Systematic Literature Review
	1 Introduction
	2 Methods
	3 Results
	4 Synthesis
	5 Discussion and Conclusion
	References
Activity Recognition from Videos Using Semantic Motion Patterns
	1 Introduction
	2 Related Works
	3 Proposed Methodology
		3.1 Learning and Inference
		3.2 Recursive Activity Recognition
	4 Experimental Setup
	5 Results and Discussion
	6 Conclusion
	References
Machine and Deep Learning Technique for Depression Detection Using EEG Data
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Simulation Results
	5 Conclusion
	References
Next-Generation Firewall with Intelligent IPS
	1 Introduction
	2 Literature Review
		2.1 Network Security Measures
	3 Change Management in Firewall
		3.1 Proposed Methodology
		3.2 Determining Normal and Abnormal Traffic
	4 Implementation Results
	5 Conclusions
	References
Security Challenges During Handoff Authentication Operation for Wireless Mesh Network
	1 Introduction
	2 Related Works
	3 Security Requirements
	4 Attacks on Wireless Mesh Network
	5 Analysis of Existing Protocol
	6 Challenges
	7 Conclusion
	References
Implementation of Photon Hash Function on FPGA
	1 Introduction
	2 Related Work
	3 Photon Hash Function
		3.1 Photon Hash Function
		3.2 Proposed S-Box Design for Photon
	4 Implementation
	5 Results and Discussion
	6 Conclusion and Future Scope
		6.1 Conclusion
		6.2 Future Scope
	References
Predictive Generation Trajectory Clustering Model for Google Online Learning: OGMM
	1 Introduction (OGMM)
	2 Literature Study
	3 Edges of OOMG Formulation
		3.1 Working Procedure
	4 Trajectory Dataset and Privacy Evaluation
		4.1 Implementation Process
	5 Experimental Result
		5.1 Analysis
	6 Conclusion
	References
A Review on Fake News Identification in Online Social Networks
	1 Introduction
	2 Fake News Detection Using XAI
	3 Analysis of Textual and Image Content
	4 Conclusion
	References
Comparative Assessment of State-of-the-art Image Fusion Techniques for Fusion of Multi-modality Medical Images
	1 Introduction and Literature Survey
	2 Current Fusion Strategies
		2.1 Non-subsampled Contourlet Transform
		2.2 Sparse Representation
		2.3 PCNN
		2.4 NSCT+SR
	3 Performance Evaluators
		3.1 AvGr
		3.2 StDv
		3.3 SpFr
	4 Experimental Related Details
		4.1 Simulation Details
	5 Conclusion and Future Directions
	References
Audio and Text-Based Emotion Recognition System Using Deep Learning
	1 Introduction
	2 Literature Survey
	3 Data Set
		3.1 Selection of Data Set
		3.2 Preparation of MELD Data Set for Training
	4 Audio Model
		4.1 Training of Audio Model
		4.2 Training of Text Model
	5 Audio + Text Model
		5.1 Training of Audio + Text Model
	6 Result and Discussion
	7 Conclusion
	References
Land Use Land Cover Segmentation of LISS-III Multispectral Space-Born Image Using Deep Learning
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Data Collection
		3.2 Preprocessing
		3.3 Methods
		3.4 Training Configuration
		3.5 Model Structure
		3.6 Algorithm Steps
	4 Result and Discussion
	5 Conclusion
	References
Particle Swarm Optimization for Web Document Retrieval Based on Term-Document Matrix
	1 Introduction
	2 Related Previous Work
	3 Proposed Model
		3.1 Preprocessing
		3.2 Indexing
		3.3 Indexing with Vector Space Model
		3.4 Similarity Computation in Vector Space Model
		3.5 Particle Swarm Optimization (PSO)
		3.6 Proposed PSO-Based Algorithm
	4 Results and Discussion
	5 Conclusion and Future Work
	References
Light-Weight Deep Learning Models  for Visual Malware Classification
	1 Introduction
	2 Related Works
	3 Proposed Work
		3.1 Dataset
		3.2 Baseline Models
		3.3 Proposed Deep Learning Models
	4 Experimental Results
	5 Conclusion and Future Work
	References
IndoorGML Modeling for WiFi-Based Indoor Positioning and Navigation
	1 Introduction
	2 Proposed Framework for IndoorGML Representation from any Floorplan
	3 Case Study : IndoorGML Representation of JUIndoorLoc Dataset
		3.1 Brief Overview of the Floorplan
		3.2 Topographic Space and Dual Graph Representation
		3.3 Horizontal Distance Computation
		3.4 Sensor Coverage Graph
		3.5 Representation of JUIndoorLoc using IndoorGML
	4 Conclusion
	References
Assessing Damage of Natural Disasters from Satellite Imagery Using a Deep Learning Model
	1 Introduction
	2 Related Works
	3 Research Gaps
		3.1 Motivation
	4 Approach and Methodology
		4.1 Dataset Collection
		4.2 Data Preprocessing
		4.3 Model Selection and Creation
		4.4 Experiments and Outcomes
		4.5 Results and Observations
	5 Conclusion
	References
Fundamental Graphical User Interface Design of an Educational Android Application
	1 Introduction
	2 Background and Literature Survey
		2.1 Basic UI Structure of An Android Application
	3 UI Design Methodology
		3.1 UI Design Principles
		3.2 Activities Stack in Android
	4 Basic Prototype Design of an Educational Android Application
		4.1 Digital Library
		4.2 Events Info
		4.3 Legends Corner and Online Practice Test
		4.4 FAQs Portal and Mentors Corner
	5 Result Analysis
	6 Conclusion and Future Work
	References
Personality Detection Using Signature Analysis
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Dataset Preparation
		3.2 Feature Selection
		3.3 Feature Classification
		3.4 Classifier Selection
	4 Experiment Result and Analysis
	5 Proposed Statistical Method
	6 Conclusion
	References
Trajectory Tracking and Link Vibration Reduction of Flexible Manipulator in the Presence of Matched Uncertainty and External Disturbances Using Lyapunov-Based Controller
	1 Introduction
	2 Mathematical Modeling and Problem Formulation
		2.1 Matching Condition
		2.2 Error Dynamics
	3 Controller design (LBC)
		3.1 Proof of Stability
	4 Simulation Results
	5 Conclusions
	References
Multimodal Approach for Code-Mixed Speech Sentiment Classification
	1 Introduction
		1.1 Related Literature Review
		1.2 Formulation of the Study
	2 Proposed Approach
		2.1 Architecture for FCNN
		2.2 Architecture for FSL
	3 Dataset Description and Pre-processing
		3.1 Pre-processing
		3.2 Pre-trained Models
	4 Experimental Results and Discussion
		4.1 FCNN
		4.2 FSL
	5 Conclusion and Future Scope
	References
Despeckling of Ultrasound Imagery with Qualitative Filtering Techniques
	1 Introduction
		1.1 Speckle Modeling
	2 Despeckling Methodologies
		2.1 Several Filtration Schemes
	3 Literature Review
	4 Experimental Analysis
	5 Databases and Results
		5.1 Database: Breast Cyst
	6 Comparative Investigation
	7 Conclusion
	References
An Analysis of Different Noise Removal Techniques in Medical Images
	1 Introduction
		1.1 Noises in Medical Images
	2 Literature Review
		2.1 Denoising Method Based on Statistical Models
		2.2 Denoising Method Based on Noise Derivative
		2.3 Denoising Method Using Wavelet Technique
	3 Noise Removal Methods
		3.1 Median Filter
		3.2 Wiener Filter
		3.3 Gaussian Filter
	4 Experimental Analysis
		4.1 Gaussian Filter
		4.2 Wiener Filter
		4.3 Median Filter
	5 Comparative Analysis
	6 Conclusion
	References
Study and Analysis of Classification Techniques for Specific Plant Growths
	1 Introduction
	2 Learning of Plant Growth and Breeding
	3 Methods of Classifying the Plant Ecosystem Using Technologies
		3.1 Traditional Image Processing for Generalizing the Plant System
		3.2 Computer Vision Using Learning Methods
	4 Analysis of Simulation of Plant Growth in 3D/2D
		4.1 Unconventional Mapping of Predicting Plant Growth
	5 Data and Machine Learining Types With Contribution
		5.1 Innovative Datasets and Novel Preprocessing
		5.2 Deep Learning Models with Specification Innovation
		5.3 Comparative Result Articulations
		5.4 Productive Reproductive and Generalization
	6 Plants’ Eccosystem and How They Develop
	7 Type of Soil Testing For Checking Plants’ NPK Values From Soil Based on Moisture Values
		7.1 Hardware
		7.2 Software
		7.3 Previous Methods for Soil Testing/Traditional Ways
	8 Conclusion
	References
Comparative Analysis of Optimization Algorithms for Antenna Selection in MIMO Systems
	1 Introduction
		1.1 Need of Antenna Selection
	2 Literature Survey
	3 Optimization Algorithm for Antenna Selection in MIMO Systems
		3.1 Adaptive Genetic Algorithm (AGA)
		3.2 Firefly Optimization Algorithm with Adaptive Scheduling (FFOAS)
		3.3 Adaptive Spectrum Matching Based Optimal Scheduling (ASMOS)
		3.4 Joint Optimization and Sub-band Expediency-Based Scheduling Technique (JO-SES)
	4 Comparative Analysis of Antenna Selection in MIMO Systems
	5 Conclusion
	References
Methodology for Classifying Objects in High-Resolution Optical Images Using Deep Learning Techniques
	1 Introduction
	2 Materials and Methods
		2.1 Satellite Image
		2.2 High-Resolution Satellite Image
		2.3 Convolutional Networks
		2.4 Dataset Creation
		2.5 Proposed Methodology
	3 Results
	4 Conclusion
	References
PID Control and Estimation of the Attitude Model Applied to Geostationary Satellites
	1 Introduction
	2 Materials and Methods
		2.1 Satellite Altitude
		2.2 Plant Model
	3 Results
		3.1 Parametric Identification
		3.2 Control System Design
		3.3 Result Controller PID
	4 Conclusion
	References
Comparative Analysis of Autoencoders and U-net-Based Image Steganography
	1 Introduction
	2 Literature Survey
		2.1 Traditional Method
		2.2 Improvements over the LSB Method
		2.3 Newer Methods
		2.4 Use of Deep Learning
	3 Methodology
		3.1 Dataset
		3.2 Frameworks/Language
		3.3 Autoencoder Architecture
		3.4 U-net Architecture
	4 Workflow
	5 Results and Experiments
	6 Conclusion
	References
Challenges in VLSI Design for Efficient Energy Harvesting
	1 Introduction
	2 System Overview
		2.1 Ambient Energy Source Based on Vibration
		2.2 Ambient Energy Source Based on Radio Frequency
		2.3 AC to DC Rectifier
	3 Literature Review
		3.1 Hassan Elahi [12]
		3.2 Venkat Subha Rao [13]
		3.3 Nagraja [14]
		3.4 David Rivadeneira [15]
		3.5 Xiaafei Li [16]
		3.6 Shuo Li [17]
	4 Conclusion
	References
Area Efficient Design of In-Place RFFT Scaling for OFDM Applications
	1 Introduction
		1.1 FFT
	2 Earlier Work
		2.1 DFT Architecture
	3 Proposed Work
		3.1 Memory/Storage Block
	4 Experimental Results
	5 Conclusion
	References
Design and Implementation of Comparator Using GDI Decoder
	1 Introduction
	2 Existing Method
		2.1 Transistor Topology
	3 Literature Survey
	4 Proposed Work
		4.1 Application of Line Decoder
		4.2 12 Transistor 2:4 GDI Decoder
	5 Conclusion
	References
High Speed Efficient Three Operand Adder
	1 Introduction
	2 Review of Contemporary Adders
		2.1 Ripple Carry Adder (RCA)
		2.2 Linear Carry Select Adder (CSLA)
		2.3 Square Root CSLA (SQRT CSLA)
		2.4 Carry Save Adder (CSA)
		2.5 Han-Carlson Adder (HCA)
		2.6 Hybrid Han-Carlson Adder (HHCA)
	3 Three Operand Adders
	4 Modified High Speed Efficient Three Operand Adder
	5 Results and Discussion
	6 Conclusion
	References
Author Index