Distributed Computing and Optimization Techniques: Select Proceedings of ICDCOT 2021 (Lecture Notes in Electrical Engineering, 903)

✍ Scribed by Sudhan Majhi (editor), Rocío Pérez de Prado (editor), Chandrappa Dasanapura Nanjundaiah (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 855
• Category: Library

✦ Synopsis

This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

✦ Table of Contents

Preface
List of Editorial Board Members
Contents
About the Editors
1 T-1D Single-Ended SRAM Cell Design for Low Power Applications Using CMOS Technology
1 Introduction
2 Related Works
3 Proposed Work
3.1 CMOS Based 1 T-1D SRAM Cell Design
3.2 Read Operation
3.3 Write Operation
4 Results and Discussion
5 Conclusion
References
A Local Descriptor and Histogram of Oriented Gradients for Makeup Invariant Face Recognition Under Uncontrolled Environment
1 Introduction
2 Related Work
3 Methods
3.1 Preprocessing of Face Image
3.2 Local Pixel Intensity Difference
3.3 Histogram of Oriented Gradients
3.4 Multi-class Support Vector Machine (MSVM)
4 Results and Discussion
4.1 Quantitative Analysis with Classifier and Similarity Measure
4.2 Qualitative Analysis with Different Datasets
4.3 Comparative Analysis with State-of-the-Art
5 Conclusion
References
A Preventive Framework for Mine Representatives Utilizing Remote Sensor Networks with Optimized Routing
1 Introduction
2 Related Works
3 Design of Embedded System Blocks
4 Mine Section
4.1 Microcontroller
4.2 Power Supply
4.3 LCD
4.4 Temperature Sensor
4.5 Gas Sensor
4.6 Humidity Sensor
4.7 Play Back Circuit
5 Monitoring Section
5.1 ZigBee
5.2 Computer
6 Safety System for Mine Workers
7 Routing Algorithm Used in WSN
7.1 Zone Based Routing
7.2 Zone Power Estimation
8 Conclusion
References
A Quantitative Study of Image Fusion Using Hybrid Approach
1 Introduction
2 Related Works
3 Methodology
3.1 Gradient (G)
3.2 Visibility (VIS)
3.3 Spatial Frequency (Sf)
3.4 Correlation Coefficient (C)
3.5 Entropy (E)
3.6 Fusion Rule
4 Results
4.1 Peak Signal to Noise Ratio
4.2 Root Mean Square Error
4.3 Correlation (CORR)
4.4 Mean Absolute Error (MAE)
4.5 Structural Similarity Index (SSIM)
5 Discussion and Conclusion
References
A Review on Smart Road Traffic Management System Using LoRa WAN
1 Introduction
2 Analysis of LoRa WAN Technology
2.1 Technological Factors Related with LoRa WAN
2.2 Advantages of LoRa WAN
2.3 LoRa WAN Based Traffic Management Systems in India
3 Implementation Techniques of LoRa WAN for Traffic Management
4 Conclusion
References
A Road Side Unit Based Proxy Signature Scheme for Fast Verification of Messages in Vehicular Ad-Hoc Network
1 Introduction
2 Related Work
3 Preliminaries and System Design
3.1 System Model
3.2 Assumptions
4 RSU Based Proxy Signature with Warrant
4.1 Proxy Signing Initial Phase
4.2 RSU Proxy Signature
4.3 Proxy Verification Strategy
5 Security Analysis
5.1 Performance Analysis
5.2 Computational Overhead Computation
6 Conclusion
References
A Secure Data Transmission Using AODV and Hash Function for MANET
1 Introduction
2 Literature Survey
3 AODV-PBAHF Method
3.1 Node Localization Using an Angle of Arrival
3.2 Prevention of Black Hole Attack Using a Hash Function in AODV Protocol
4 Results and Discussion
4.1 Average Packet Delivery Rate
4.2 Average Packet Dropped Rate
4.3 Average Throughput
4.4 Average Routing Overhead
4.5 Average Normalized Routing Load
5 Conclusion
References
A Study on Different Types of Convolutions in Deep Learning in the Area of Lane Detection
1 Introduction
2 Related Works
3 Methods
3.1 Encoder Decoder Architecture
3.2 Dilated Convolutions
3.3 1 × 1 Convolution
3.4 Residual Layer
3.5 Non-bottleneck-1D
3.6 Generator Discriminator
4 Network Models
4.1 Encoder Decoder Models
4.2 Fully Convoluted Network Models
5 Discussion
5.1 Evaluation Metrics
5.2 Results
6 Conclusion
References
A Study on the Impact of DC Appliances and Direct DC Power System in India
1 Introduction
2 Related Works
3 End Uses and DC Appliances in India
3.1 DC-Ready Product Information by End-Use Application
3.2 Market Assessment of DC Appliances
3.3 End-Use
4 Efficiency Assessment of DC Appliances
4.1 Results of Redirect-DC Building Distribution Systems
4.2 Cost Assessment of DC Appliances in India
5 Challenges and Way Forward to DC Appliances in India
6 Conclusion
References
A Survey on Vehicle Detection and Classification for Electronic Toll Collection Applications
1 Introduction
2 Related Work
2.1 Axle Based Approaches
2.2 RFID Based Approaches
2.3 Limitations of Existing Technologies
3 An Overview of Different Computer Vision Based Approaches for Vehicle Classification
3.1 Feature Engineering Approaches
3.2 Morphology Based Approaches
3.3 License Plate Detection Approaches
3.4 Deep Learning Based Approaches
4 Discussions and Conclusions
References
A Systematic Study of Sign Language Recognition Systems Employing Machine Learning Algorithms
1 Introduction
2 Some Existing Sign Language Recognition Systems
2.1 Sign Language Recognition Systems Based upon Sensors
2.2 Sign Language Recognition Systems Based on Vision-Based Techniques
3 Sign Languages and Taxonomy of Signs
3.1 Types of Signs
3.2 Problem with Universal Sign Language Recognition System
4 Sign Language Recognition System Overview
4.1 Data Acquisition
4.2 Pre-processing and Features Extraction
4.3 Recognition
5 Discussion
6 Conclusions
References
ACS Fed Coplanar Monopole Antenna with Complementary Split Ring Resonator for WLAN and Satellite Communication Applications
1 Introduction
2 Related Works
3 Method
3.1 Design and Development of the Proposed Antenna
4 Results and Discussion
5 Conclusion
6 Future Scope
References
Advance the Energy Usage in Cloud Centers Utilizing Hybrid Approach
1 Introduction
2 Related Works
3 Energy Efficiency Computing
3.1 Resource Scheduling Model for Energy Saving in Cloud Computing
3.2 Resource Model of Cloud Data Center
3.3 Dynamic Power Model
3.4 Energy Aware Virtual Machine Relocation
3.5 Firefly Optimization (FFO) Algorithm
4 Result and Analysis
5 Conclusion
References
Advanced Architecture of Analog to Digital Converter Derived from Half Flash ADC
1 Introduction
2 Related Works
3 Proposed Architectures
3.1 Advanced Architecture of Flash ADC
4 Implementation of Advanced Flash ADC
5 Comparison with Existing Models of ADC
6 Conclusion
References
An Assessment of Criss-Cross Multilevel Inverter with Fault Tolerance for Electric Vehicle Applications
1 Introduction
2 Related Works
3 Proposed Method
3.1 Equal-Phase Pulse (EPP) Method
3.2 Half-Equal Phase Pulse (HEPP) Method
3.3 Round Modulation Control (RMC)
3.4 THD Evaluation of CC—MLI for Nine—Level
4 Simulation Results and Discussion
4.1 Fault Tolerance of Criss-Cross MLI Using RMC Method
5 Conclusion and Future Scope
References
An Energy-Efficient Load Balancing Approach for Fog Environment Using Scientific Workflow Applications
1 Introduction
1.1 Load Balancing at Fog Layer
1.2 Our Contribution
2 Literature Review
2.1 Resource Allocation in Fog Computing
2.2 Load Balancing in Fog Computing
3 Proposed Fog Computing Architecture for Maximum Resource-Utilization
3.1 Energy-Efficient Load Balancing Approach (EE-LB)
4 Result Analysis and Discussion
4.1 Parameters Considered
4.2 Experimental Requirement
4.3 Experimental Results
5 Conclusion and Future Scope
References
An Ensemble Model to Extract Discriminative Features for Semantic Image Classification in Large Datasets
1 Introduction
2 Related Works
3 Methods
3.1 Discrete Cosine Transforms
3.2 Multi Resolution Analysis Using Wavelets
3.3 HOG
3.4 Classification
4 Results and Performance Analysis
5 Discussion and Conclusion
References
An Evaluation of Wireless Charging Technology for Electric Vehicle
1 Introduction
2 Schematic Review
3 Conductive Charging
4 Methods of Wireless Charging
4.1 Inductive Power Transfer (IPT)
4.2 Resonant Inductive Power Transfer (RIPT)
4.3 Capacitive Power Transfer
4.4 Permanent Magnet Power Transfer (PMPT)
4.5 Microwave Power Transfer (MPT)
4.6 LASER Wireless Charging
5 Application of Wireless Electrical Vehicle Charging System
5.1 Vehicle-to-Ground (V2G)
5.2 IN Wheel Wireless Charging System (IN-Wheel WCS)
5.3 Wireless Charging Technologies Difficulties
5.4 WPT Efficiency Enhancement Solutions
6 Conclusion
References
Automated Dam Data Acquisition and Analysis in Real-Time
1 Introduction
2 Related Works
3 Proposed System
3.1 Working Function
4 Results and Discussion
4.1 Comparative Analysis
5 Conclusion
References
Chaotic System Based Modified Hill Cipher Algorithm for Image Encryption Using HLS
1 Introduction
2 Related Works
3 Methods
3.1 Nose Hoover Chaotic Generator
3.2 The Hill Cipher and Its Transformation
3.3 Hill Cipher Key Generator
4 The Proposed Algorithm Incorporating a Chaotic Generator
5 Results and Observations
5.1 Correlation and Histogram Analysis
5.2 Information Entropy Analysis
6 Conclusion
References
Chronological-Squirrel Earth Worm Optimization for Power Minimization Using Topology Management in MANET
1 Introduction
2 Literature Survey
3 System Model of MANET for C-SEWO
3.1 Proposed Chronological-Squirrel Earthworm Optimization Algorithm for Power Optimization
3.2 Algorithmic Procedure of the Proposed C-SEWO Algorithm
3.3 Gabriel Graph
4 Results and Discussion of C-SEWO Algorithm
4.1 Experimental Setup
5 Experimental Results
5.1 Analysis for 100 Nodes
6 Conclusion
References
Classification of Neurological Disorders with Facial Emotions and EEG
1 Introduction
2 Related Works
3 Methods
3.1 Dataset Used
3.2 Proposed Architecture
3.3 Facial Emotion Recognition in Neurological Disorders
3.4 Mathematical Model
3.5 Proposed System
4 Results
5 Discussion
6 Conclusion
References
Comparative Analysis of Machine Learning Approaches for the Early Diagnosis of Keratoconus
1 Introduction
2 Signs and Diagnosis of Keratoconus
3 Machine Learning for Diagnosis of Keratoconus
4 Related Works
5 Conclusion
References
Conversion of NAM to Normal Speech Based on Stochastic Binary Cat Swarm Optimization Algorithm
1 Introduction
2 Related Works
3 Methodology
3.1 The Input Signal NAM Received Through Gadgets
3.2 Pre-processing
3.3 Feature Extraction
3.4 SBCSO-Based Deep CNN
3.5 Training of Deep CNN Based on Stochastic Binary Cat Swarm Optimization
4 Simulation Results
4.1 Discussion
5 Conclusion
References
Convolutional Neural Network Models for Throat Cancer Classification Using Histopathological Images
1 Introduction
1.1 Extraction of Images
1.2 Objective
2 Methodology
3 Convolution Neural Network (CNN) for Classifying Images
4 Results and Discussion
4.1 Performance Evaluation Metrics
5 Conclusion and Future Scope
5.1 Future Scope
References
Deep Learning Based Pneumonia Infection Classification in Chest X-ray Images Using Convolutional Neural Network Model
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Dataset Collection
3.2 Dataset Augmentation
3.3 Model Design and Training
4 Discussion
4.1 Performance Evaluation
4.2 Comparison with the State-Of-The-Art Method
5 Conclusion
References
Deep Learning Model for Reduction COVID-19 Spreading Through Tracking Students’ Commitment to Wearing a Face Mask
1 Introduction
2 Related Works
3 Methods
3.1 CNN in Depth
3.2 Tensorflow (TF), Keras, Opencv
3.3 Trained the Network
4 Results, and Discussion
5 Conclusion
References
Design and Analysis of New Ultra Low Power CMOS Based Flip-Flop Approaches
1 Introduction
2 Related Works
3 Design of Adiabatic Flip-Flops
4 Experimental Analysis of Adiabatic Flip-Flops
4.1 SCCER Flip-Flop Approach
4.2 Clock Gating SCCER Flip-Flop
4.3 Experimental Results
5 Conclusion
References
Design and Comparative Analysis of Microstrip Patch Antenna by Using Various Materials in HFSS
1 Introduction
2 Related Works
3 Design of an Antenna
4 Types of Material Used
4.1 Polyamide Material
4.2 Polyester Material
4.3 Polyethylene Material
4.4 Comparison Between All the Material
4.5 Comparative Analysis
5 Conclusion
References
Design of an Efficient Mobile Communication and an Armament System for Women Safety
1 Introduction
2 Literature Review
3 Hardware Components
3.1 Raspberry Pi and GPS Module
3.2 Camera Module and 555 Timer Based Buzzer System
3.3 Shock Circuit
4 Software Algorithm
4.1 Location Detector
4.2 Sending Message
4.3 Detecting Face
4.4 Saving in Cloud
4.5 Multitasking/Multithreading
5 Experimental Results
6 Conclusion
References
Design of an Efficient IoT System for Poultry Farm Management
1 Introduction
2 Related Works
3 Methodology
3.1 Monitoring and Control Module
3.2 Monitoring Temperature
3.3 Monitoring Humidity
3.4 Monitoring Air Pollutants
3.5 Artificial Lightning
3.6 Monitoring Water Level
4 Results and Discussions
4.1 Hardware Module
4.2 Monitoring Temperature
4.3 Monitoring Gas Content
4.4 Monitoring Humidity
4.5 Artificial Lighting
4.6 Monitoring Water Level
4.7 Comparative Analysis
5 Conclusion
References
Design of LORA Based Tracking System for Military Personnel
1 Introduction
2 Related Work
3 Tracker Design
4 Experimental Results
4.1 Hardware and Simulation
4.2 Application and User Interface
5 Specification Analysis
5.1 The Module Used in the Project has the Following Specification
5.2 Comparative Analysis
6 Conclusion
References
Design of Quantum Encoders with Minimum Area Overhead
1 Introduction
2 Related Works
3 Methods
4 Results and Discussion
5 Conclusion
References
Design of Smart Voice Enabled Walking Stick for Visually Impaired
1 Introduction
2 Related Works
3 Proposed Methodology
4 Result and Discussion
5 Conclusion
References
Diagnosis of Parkinson’s Disease Using Optimized Neural Network Model
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Data Visualization
3.2 Methodology
4 Results and Discussions
4.1 Comparative Analysis
5 Conclusion
References
Drug-Drug Interactions and Side Effects Prediction Using Shallow Ensemble Deep Neural Networks
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Data Collection
3.2 Pre Processing
4 Model Network-Ensemble Algorithms
4.1 Multivariate Regression
4.2 Lasso Regression
4.3 Ridge Regression
4.4 Elastic Net Regression
5 Results and Inferences
5.1 Algorithm’s Comparisons
5.2 Historical Research Comparison
5.3 Comparison Charts
6 Conclusion
References
Dual-Band Microstrip Patch Antenna for 5G-NR Applications
1 Introduction
2 Related Works
3 Antenna Design
4 Results
5 Discussion and Conclusion
References
Dynamic Gradient Sparsity Based Image Registration and Fusion Technique for Satellite Images
1 Introduction
2 Related Works
3 Methods: Dynamic Gradient Sparsity Based Image Registration and Fusion Technique
3.1 Dynamic Gradient Sparsity Features
3.2 Least Square Fitting
3.3 Registration and Fusion Modelling Optimization
4 Results
5 Discussion and Conclusion
References
Effectiveness Analysis of Distance Measures for Graph Coloring Based View-Construction Approach In Multiview Ensemble Learning
1 Introduction
2 Related Works
3 Taxonomy of the Research
3.1 Graph Coloring Based Views Construction
3.2 Evaluation of Obtained View Using the Classifier(s)
3.3 Ensemble of Prediction Obtained from View Learners
4 Experiments
4.1 Experimental Setup
4.2 Results
5 Schematic Review
5.1 Quantitative
5.2 Nonparametric Statistical Analysis Using Friedman Test
5.3 Comparison with Other Views Construction Methods
6 Discussion
7 Conclusion
References
Efficient Square Root Computation–An Analysis
1 Introduction
2 Related Works
2.1 Digit Recurrence Method
2.2 Newton Raphson Method
2.3 Non-restoring Algorithm
2.4 Cordic
3 Methods
4 Results
5 Discussion
6 Conclusion
References
Email Spam Detection Using Machine Learning and Feature Optimization Method
1 Introduction
2 Related Work
3 Dataset Description
3.1 Data Extraction
3.2 Dataset Description
4 Model Description
5 Methods
5.1 Neural Networks
5.2 Naive Bayes’
5.3 K Nearest Neighbours
5.4 Decision Tree
5.5 Logistic Regression
6 Proposed Approach
6.1 Implementation
6.2 Visualization
7 Results
7.1 Comparison with Other Works
8 Conclusion
References
Enhancement of Data Between Devices in Wi-Fi Networks Using Security Key
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Vehıcular Communıcatıons
3.2 Network Layer: Mobility Management
3.3 Network Configuration
3.4 Security
4 Results and Discussions
5 Conclusion
References
Extraction of Dataset for Indian Sign Language Recognition from News Video
1 Introduction
2 Related Work
3 Methodology
3.1 Architecture
3.2 Extraction of ISL Performer NEWS
3.3 Pre-processing on Audio
3.4 Comparison of Spoken Text to Predicted Output of Lipnet
4 Dataset
4.1 Dataset Creation
5 Comparison and Discussion
6 Conclusion and Future Work
References
Feature Fusion of LBP, HELBP & RD-LBP for Face Recognition
1 Introduction
2 Related Works
3 Methods
3.1 Local Binary Pattern (LBP)
3.2 Horizontal Elliptical LBP (HELBP)
3.3 Radial Difference LBP (RD-LBP)
3.4 Fused Local Descriptor (FLD)
4 Experiments
4.1 Datasets Utilized
4.2 Descriptors Particulars Concerning the Feature Size
4.3 Rate Assessment
4.4 Comparing the FLD Results with Literature Ones
5 Discussions
6 Conclusion
References
Global Best Guided Binary Crow Search Algorithm for Feature Selection
1 Introduction
2 Related Work
3 Crow Search Algorithm
4 Global Best Guided Binary CSA (G-BCSA)
4.1 Fitness Function
5 Results and Discussion
5.1 Dataset Description
5.2 Parameter Settings
5.3 Experimental Results
6 Conclusion
References
GWCM: Grid Based Weighted Clustering Method for Wireless Ad-Hoc Network
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Methodology
3.2 Proposed Algorithm
4 Simulation and Result Discussion
4.1 Simulation Setup
4.2 Result Discussion
5 Conclusion
References
Hybrid Deep Learning Approach for Brain Tumor Segmentation and Classification
1 Introduction
2 Literature Survey
3 Proposed Hybrid Deep Learning Approach for the Classification of Brain Tumor
3.1 Image Acquisition
3.2 Pre-Processing
3.3 Tumor Segmentation
3.4 Feature Extraction
3.5 Tumor Classification
4 Results and Discussion
4.1 Experimental Setup
4.2 Comparative Methods
4.3 Comparative Analysis
5 Conclusion
References
Identification of Rice Adulteration and Bacterial Blight Using Optimized Boosting Classifier
1 Introduction
2 Related Works
3 Methods
3.1 Spectral Data Collection and Pre-treatment
3.2 Fast Independent Component Analysis
3.3 Whale Optimization
3.4 Feature Extraction
3.5 ADA-Boosting Classifier
4 Result and Discussion
5 Conclusion
References
Image Classification Based on Inception-v3 and a Mixture of Handcrafted Features
1 Introduction
2 Related Works
3 Methods
3.1 Histogram of Oriented Gradients (HOG)
3.2 Semantic Segmentation: Deeplabv3+ with Pre-trained Weights
3.3 Proposed Method: Inception Model with Pre-trained Weights
4 Results
5 Discussion and Conclusion
References
Image Process Based Plant Diagnostic System
1 Introduction
2 Related Works
3 Description and Methodology
3.1 Image Acquisition
3.2 Image Segmentation
3.3 Feature Extraction and Classification
4 Experimental Results
4.1 Discussion
4.2 Outcome of Proposed System
5 Conclusion
References
Instance Based Authorship Attribution for Kannada Text Using Amalgamation of Character and Word N-grams Technique
1 Introduction
1.1 Profile Based Approach 
1.2 Instance Based Approach
2 Related Works
3 Methods
3.1 Data Preprocessing and Encoding
3.2 Feature Extraction
3.3 Lexical Model
3.4 N-gram Model
4 Results
4.1 Discussion
5 Conclusions and Future Works
References
IoT Enabled Virtual Home Assistant Using Raspberry Pi
1 Introduction
2 Related Work
3 Proposed Methodology and Working Principle
3.1 Working Principles of Voice Detection and Recognition
3.2 Working Principles of Voice Command Execution
4 Result and Discussion
4.1 Experiment on Developed Smart Assistant
4.2 Smart Home Activity Analysis with the Developed Smart Assistant
4.3 Comparison Among Existing Work Among Response Time
4.4 Snapshots of the Developed System
5 Conclusion
References
Load Balanced Content Prefetching Model for MANET-CLOUD Environment
1 Introduction
2 Related Works
3 Methods: Load Balanced Content Prefetching Method for Cloud Based MANET
4 Result Analysis
4.1 Query Access Time Performance
4.2 Cache Consistency Performance
4.3 Energy Consumption Performance
4.4 Comparative Analysis
5 Discussion and Conclusion
References
Low Energy Reduction Technique via Memristor for Wireless Body Sensors
1 Introduction
2 Related Works
3 Methodology
3.1 Energy Dissipation of SRAM Cell
3.2 Memory Element of Memristor
3.3 Memristive Random Access Memory
3.4 Energy Dissipation of MRAM Cell
4 Results and Discussions
5 Conclusion and Future Work
References
Machine Translation for Indian Languages Utilizing Recurrent Neural Networks and Attention
1 Introduction
2 Related Work
3 Neural Machine Translation Models
3.1 Long Short Term Memory
3.2 Transformer Neural Machine Translation:
3.3 Attention Mechanism
4 Experiments
4.1 Dataset
5 Results
5.1 Sample Output
6 Conclusions
References
Malaria Detection from Blood Cell Images Using Convolutional Neural Network Model
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Dataset
3.2 Model Design
3.3 Model Training
4 Discussion and Performance Evaluation
5 Conclusion
References
Miniaturized Defected Ground Structure Microstrip Patch Antenna Design for X and Ku Band Applications
1 Introduction
2 Related Work
3 Methodology
3.1 Antenna Design
3.2 Parametric Analysis
4 Results and Discussions
4.1 Return Loss
4.2 VSWR
4.3 Gain
4.4 Radiation Pattern
4.5 Smith Chart
4.6 Directivity
5 Conclusion
References
Multilayer Perceptron Neural Network Supervised Learning Based Solar Radiation Prediction
1 Introduction
2 Related Works
3 Proposed Architecture
4 Results and Discussion
4.1 Qualitative Analysis with Dataset
4.2 Quantitative Analysis with Different Classifier Algorithms
4.3 Quantitative Analysis of MLP Based Neural Network Model
4.4 Comparative Analysis of MLP Based NN Model with Existing Models
5 Conclusion
References
Myocardial Infarction Analysis Using Deep Learning Neural Network Based on Image Processing Approach
1 Introductıon
2 Related Works
3 Proposed Method
3.1 Medical Techniques for DETECTING MI
3.2 ECG
3.3 Pre-processing
3.4 Segmentation
3.5 GLCM Feature Extraction
3.6 Classification
4 Result and Discussion
5 Conclusion
References
Novel Single CDDITA Based Resistively Tunable All-Pass Filter Configuration with Grounded Passive Elements
1 Introduction
2 Related Work
3 Proposed Work
3.1 CDDITA Circuit Idea
3.2 Proposed CDDITA All-Pass Filter
3.3 Non-Ideal Analysis of Proposed Configuration
4 Results and Discussion
5 Conclusion
References
Optimization Control Techniques for the Aircraft Yaw Control Lateral Dynamics
1 Introduction
1.1 Related Works
2 Modelling of Yaw Control System
3 Optimization Control Techniques
3.1 Multistage LQR Algorithm (MS-LQR)
3.2 Genetic Algorithm (GA-LQR)
3.3 Particle Swarm Optimization (PSO-LQR)
3.4 Artificial Bee Colony (ABC-LQR)
4 Simulation Results
5 Discussion
6 Conclusion
References
Optimization of 2D-Wavelet Filters Based on Taylor Hybrid BAT Algorithm
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Transform Domain Flow in Image Compression
3.2 Image Compression Based on Wavelet Transform
3.3 Training Process
4 Discussion on Results
4.1 Discussion on Training Method
4.2 Image Compression and Decompression Results
5 Conclusion
References
Optimization of Linguistic Techniques by Extracting Opinion in Text Summarization Using Transferable Neural Network
1 Introduction
2 Literature Review
3 Problem Definition
3.1 Description
3.2 Motivation
4 Structure of the Proposed Model
4.1 Single Domain RNN
4.2 Recursive Neural Network Model
4.3 Predicting Temporal Sequences Using Cross Training
5 Experimental Results and Analysis
6 Conclusion
References
Performance Analysis of a High Gain Quasi Z-Source Network Based Cascaded H-Bridge Multi-level Inverter
1 Introduction
2 Related Works
3 Proposed System
3.1 Steady State Analysis
4 Simulation Results and Discussion
5 Conclusion and Future Scope
References
Performance Analysis of Classification Models for Liver Disease Diagnosis
1 Introduction
2 Related Works
3 Proposed Model
3.1 Dataset Description
3.2 Data Pre-processing
3.3 Feature Selection
3.4 Classification
4 Result Analysis
4.1 Experimental Setup
4.2 Splitting of Dataset
5 Conclusion
References
Performance Estimation of ML Techniques for Pancreatic Tumor Classification in PET/CT Images
1 Introduction
2 Related Works
3 Methodology
3.1 GLRM
4 Results and Discussion
4.1 Performance Evaluation
4.2 Confusion Matrix
4.3 Evaluation of Accuracy
5 Conclusion
References
Power Quality Analysis of High-Voltage Gain Switched LC Z-Source Inverters
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 SLC-ZSI Operation-Type 1
3.2 Process of Type 2 SLC-ZSI
4 Results and Discussions
4.1 Output Analysis
4.2 Output for Type 1 3-Phase Switched LC Z-Source Inverter
4.3 Output Parameters
5 Conclusion
References
Prediction Scheme Using Fuzzy Logic System to Control the Congestion in Wireless Sensor Network
1 Introduction
2 Related Work
3 Methods
3.1 The Model of the Network
3.2 The Proposed Fuzzy Logic Congestion Control
4 Results
5 Discussion
6 Conclusion
References
Real-Time Heel Strike Parameter Estimation for FES Triggering
1 Introduction
2 Related Works
3 Experimental Setup
3.1 Sensors Used and Placement
3.2 Experimental Protocol
4 Methods
4.1 Global Transformations
4.2 Neural Network Architecture
4.3 Real-Time Neural Network
4.4 Event Detection Algorithm
5 Results
5.1 Importance of the Various Neural Network Models
5.2 Specific Neural Network Model
5.3 General Neural Network Model
6 Discussion
7 Conclusion
References
Role of Routing Techniques in Wireless Sensor Networks – A Survey
1 Introduction
2 Review on WSN Routing
2.1 Structure Based Routing
2.2 Protocol Operation Based Routing
3 Bio-inspired Routing
3.1 Ant Colony Optimization Algorithm
3.2 Artificial Bee Colony Algorithm
4 Discussions
5 Conclusion
References
Sign Language Interpreter Using Inception V2 and Faster R-CNN
1 Introduction
2 Related Work
3 Proposed Method
4 Experimental Results
5 Analysis and Discussion
6 Conclusion
References
Simultaneous Sparse Representations with Partially Varying Support
1 Introduction
2 Related Works
3 Methods
3.1 Case 1
3.2 Case 2
3.3 Case 3
4 Experimental Results
5 Discussion
6 Conclusions
References
Solar Power Based Agriculture Robot for Pesticide Spraying, Grass Cutting and Seed Sowing
1 Introduction
2 Related Works
3 Methods
3.1 Power Supply
3.2 Robot Structure
3.3 Seed Sowing
3.4 Pesticide Spraying
3.5 Grass Cutting
3.6 Sensors
3.7 ESP32-CAM Module
3.8 Crop Prediction Using Machine Learning Algorithm
3.9 Android Application
4 Results
5 Discussion and Conclusion
References
Super Compact FR-4 Compatible 28 GHz Antenna for 5G Handheld Devices
1 Introduction
2 Related Work
3 System Design
4 Results and Discussion
4.1 Return Loss
4.2 Voltage Standing Wave Ratio
4.3 Radiation Pattern
4.4 Radiation Efficiency
4.5 Realized Gain
4.6 Gain-2D and 3D Pattern
5 Conclusion
References
Survey on Software Solution for High Performance Packet Processing
1 Introduction
2 Related Work
3 Overview and Drawbacks in Linux Packet Processing Network Stack
3.1 Packet Processing in Linux Network Stack: Main Stages
4 A Brief Discussion of Techniques for Faster Packet Processing
4.1 Netmap
4.2 NetSlice
4.3 PF_RING
4.4 DPDK
5 RSS Algorithm on DPDK Based Packet Processing
5.1 Flow Distribution Module
6 Comparative Analysis of the Frameworks
7 Conclusion and Future Work
References
Telemedicine IoT Prototype “Doctor Pi” for Measuring Elders Vital Signs in Rural Areas of Ecuador
1 Introduction
2 Related Works
3 Methods
3.1 Description of the Prototype “Doctor Pi”
4 Results
5 Discussion and Conclusions
References
Virtual Machine Consolidation Using Enhanced Crow Search Optimization Algorithm in Cloud Computing Environment
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Initialization
3.2 Mapping
3.3 Fitness Function
3.4 Steps Involved in the Enhanced Crow Search Optimization Algorithm
4 Results and Discussion
4.1 Service Level Agreement Violation
4.2 Quantitative Analysis
4.3 Comparative Analysis
5 Conclusion
References
Web Vulnerability Detection: The Case of Cross-Site Request Forgery Using Classification and Regression Trees
1 Introduction
2 Related Works
3 Methods
3.1 Algorithm for CART
4 Results and Discussion
5 Conclusion
References