Emerging Research in Computing, Information, Communication and Applications: Proceedings of ERCICA 2022

✍ Scribed by N. R. Shetty, L. M. Patnaik, N. H. Prasad

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 1028
• Series: Lecture Notes in Electrical Engineering, 928
• Category: Library

✦ Synopsis

This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

✦ Table of Contents

Organizing Committee
Preface
Acknowledgments
About the Conference
Contents
About the Editors
Teaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals
1 Introduction
2 Problem Formulation
2.1 Objective Functions
2.2 Constraints
2.3 Multi Objective Function
3 Learning Enthusiasm-Based TLBO (LebTLBO)
3.1 Basic TLBO
3.2 LebTLBO
4 Results and Discussions
5 Conclusion
References
Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment
1 Introduction
2 Related Work
3 Dataset
4 Proposed Work
4.1 Decision Tree Classifier
4.2 Random Forest Classifier
5 Experimental Setup and Results
6 Conclusion and Future Work
References
A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods
1 Introduction
1.1 Identifying Research Gap
1.2 Significant Objectives of This Examination
2 Research Design Search and Screening Strategy
3 Methods for Predicting Student’s Triumph that Are Far-Reaching
3.1 Decision Trees
3.2 Neural Network
3.3 Naive Bayes
3.4 K-Nearest Neighbor
3.5 Support Vector Machine
3.6 Association Rule Mining
3.7 Regression
3.8 Clustering
4 Prediction and Accuracy
5 Findings and Observations
6 Result
7 Final Thoughts and Way Forward
References
Gesture-Controlled Speech Assist Device for the Verbally Disabled
1 Introduction
2 System Block Diagram
3 Working and Hardware Implementations of the System
4 Results and Discussion
5 Conclusion
References
Highly Classified with Two Factor Authentication Encrypted Secured Mail
1 Introduction
2 Literature Review
3 Proposed System
4 Architecture
5 Methodology
6 Results
7 Conclusion
8 Future Enhancements
References
Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN
1 Introduction
2 Review of Literature
3 Efficacious Intrusion Detection System
3.1 Enhanced Packet Inspection Algorithm
3.2 Improved Bald Eagle Search
3.3 Hybrid Classification Process
3.4 Enhanced KNN: Kernal–Based Similarity Measure
4 Experimental Analysis
4.1 NSL-KDD 99 Dataset
4.2 UNSW-NB 15 Dataset
4.3 NBaIoT Dataset
5 Conclusion
References
An Amalgamated and Personalized System for the Prognosis and Detecting the Presence of Parkinson’s Disease at Its Early Onset
1 Introduction
2 Related Work
2.1 Summary of Literature Survey
3 Proposed Methodology
4 Technological Concepts Used
4.1 Health/Medical History Analysis:
4.2 Voice Analysis
4.3 Handwriting Analysis
4.4 Final Result
5 Results
6 Conclusion
References
Design and Implementation of Flyback Converter Topology for Dual DC Outputs
1 Introduction
2 Flyback Converter: Principle of Working
2.1 Mode of Operation
3 Flyback Converter Transformer Design
3.1 Calculation of the Minimum Duty Ratio (Dmin)
3.2 Selection of the MOSFET and the Output Diode
3.3 Selection of PWM Controller
4 Results and Discussion
5 Conclusion
References
Gesture Detection Using Accelerometer and Gyroscope
1 Introduction
2 Design of the Gesture Recognition System
3 Hand Gesture Recognition Algorithm
4 Implementation
4.1 Initialization
4.2 IMU Provider—Pre-processing
4.3 Rasterize Stroke—Pre-processing
4.4 Model
4.5 Output
5 Hand Gestures Recognized
6 Experimental Demonstration Gesture Recognition Device
6.1 Verification
6.2 Verification of Media Player
7 Conclusion
References
To Monitor Yoga Posture Without Intervention of Human Expert Using 3D Kinematic Pose Estimation Model—A Bottom-Up Approach
1 Introduction
1.1 Significance
1.2 Pose Estimation Algorithm with Bottom-Up Approach for 3D Videos
2 Literature Survey
3 Proposed Methodology
3.1 Suryanamaskar
4 Proposed Algorithm
5 Experimental Analysis and Assumptions
6 Conclusions and Discussions
7 Future Scope
References
Upshot and Disparity of AI Allied Approaches Over Customary Techniques of Assessment on Chess—An Observation
1 Introduction
1.1 Minimax Algorithm
1.2 Alpha–Beta Pruning Algorithm
1.3 Monte Carlo Tree Search (MCTS)
2 Literature Survey
3 Comparative Analysis
3.1 Stockfish
3.2 AlphaZero
4 Observations and Discussions
5 Conclusion
6 Future Enhancement
References
Network Intrusion Detection Using Neural Network Techniques
1 Introduction
2 Related Work
3 Challenges and Issues
4 Comparison Table
5 Proposed Approach
6 Conclusion
References
Performing Cryptanalysis on the Secure Way of Communication Using Purple Cipher Machine
1 Introduction
2 Design of a Purple Machine
3 Elements of a Purple Machine
4 Working of a Purple Machine
5 Pseudo-Code
6 Drawbacks
7 Hill Climb Attack
8 Breaking of the Purple Code
9 Implementation
10 Experimental Results and Analysis
11 Conclusion and Future Work
References
Artificial Intelligence and Machine Learning for Foundry Industry—A Case Study of Belagavi Foundry Industry
1 Introduction
2 Literature Review
2.1 Overview of Machine Learning and Artificial Intelligence
2.2 Application of AI and ML in Production
2.3 Challenges of Implementation of AI and ML in Foundry Industry
3 Proposed Challenges for Implementing AI and ML in Foundry Industry
4 Research Methodology
5 Fuzzy AHP Method
6 Topsis
7 Results and Analysis
7.1 Ranking of Alternatives Using TOPSIS Grey
8 Discussion
9 Conclusion and Future Research
References
Conversion of Sign Language to Text Using Machine Learning
1 Introduction
2 Related Works
3 System Analysis
3.1 Existing System
3.2 Proposed System
4 System Implementation
4.1 Dataset
4.2 Image Preprocessing and Hand Segmentation
4.3 Extraction of Features
4.4 Classification Algorithm
4.5 Convolutional Neural Network Architecture Used in Project
5 Training and Testing
6 Accuracy
7 Results and Discussions
8 Conclusion
9 Future Scope
References
A Hexagonal Sierpinski Fractal Antenna for Multiband Wireless Applications
1 Introduction
2 Antenna Design
3 Result and Discussion
4 Conclusion
References
Multi-level Hierarchical Information-Driven Risk-Sensitive Routing Protocol for Mobile-WSN: MHIR-SRmW
1 Introduction
2 Related Work
3 System Model
3.1 Multi-layered Hierarchical Dynamic Information-Based Node Profiling
4 Results and Discussion
5 Conclusion
References
Target Classification Using CNN-LSTM Network with Reduced Sample Size in Surveillance Radar
1 Introduction
2 CNN-LSTM Methodology
3 Data Modeling
3.1 Radar Cross Section of Target
3.2 Velocity Modeling
3.3 Doppler Frequency Bin
3.4 Data Set
4 Experiments
5 Conclusion
References
Iron Oxide Nanoparticle Image Analysis Using Machine Learning Algorithms
1 Introduction
2 Materials and Methods
3 Proposed Method
4 Experimental Results and Discussion
5 Conclusion
References
Bankruptcy Prediction Using Bi-Level Classification Technique
1 Introduction
2 Previous Work
2.1 Altman Z-score
2.2 Inclusion of Tobin’s Q as Feature
3 Proposed Methodology
3.1 Data Set
3.2 Missing Value Imputation
3.3 Data Balancing
3.4 The Model: Bi-Level Classification
4 Analysis and Results
4.1 Comparison of Model
4.2 Results
5 Conclusion
References
Infant Brain MRI Segmentation Using Deep Volumetric U-Net with Gamma Transformation
1 Introduction
2 Literature Review
3 Dataset
4 Proposed Methodology
4.1 Preprocessing the Data
4.2 Gamma Transformation
4.3 Piecewise Transformation
5 Results and Discussion
5.1 Comparison with Other Models
6 Conclusion
References
Analysis of Deep Learning Architecture-Based Classifier for the Cervical Cancer Classification
1 Introduction
2 Literature Review
3 Methodology
3.1 Image Dataset
3.2 A Fine-Tuned Classifier Models
4 Results and Discussion
4.1 Classifier A-Alexnet
4.2 Classifier B-Google Net
4.3 Comparison Measure of the Classifiers
4.4 Evaluating the Classifiers for the Real-Time Clinical Dataset
5 Conclusion
References
Covid Vaccine Adverse Side-Effects Prediction with Sequence-to-Sequence Model
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset Used
3.2 Structured Data to Sequence Learning Problem Formulation
3.3 The Seq2Seq Model
4 Result
5 Conclusion
References
Comparison Between ResNet 16 and Inception V4 Network for COVID-19 Prediction
1 Introduction
2 Literature Survey
3 Methodology
4 Result
5 Conclusion
References
Computational Deep Learning Models for Detection of COVID-19 Using Chest X-Ray Images
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset Used
3.2 ResNet 16
3.3 Inception V4
4 Results
5 Discussion
6 Conclusion
References
An Ensemble Approach for Detecting Malaria Using Classification Algorithms
1 Introduction
2 Materials and Methods
2.1 Data Sources
2.2 Malaria Information
2.3 Medical Records Department Data Format
2.4 Preprocessing
2.5 Data Processing
2.6 Ensemble-Based Classification Algorithms
3 Results and Discussion
4 Conclusion
References
IoT-Enabled Intelligent Home Using Google Assistant
1 Introduction
2 System Architecture
3 Design Implementation
4 Software Applications
4.1 ARDUINO 1.8.15 Software
4.2 BLYNK
4.3 IFTTT Application
4.4 Google Assistant
5 Results
6 Conclusion
References
Analysis of a Microstrip Log-Periodic Dipole Antenna with Different Substrates
1 Introduction
2 Design Specifications for Antenna
3 Antenna Simulation and Analysis with Different Substrate
4 Result and Discussion
5 Conclusion
6 Future Perspective
References
Detection of Diabetic Retinopathy Using Fundus Images
1 Introduction
2 Literature Survey
3 Methodology
3.1 Software Components
3.2 Modifying and Managing the Database
3.3 CNN Modeling (DENSENET 121)
4 Results
4.1 Summary of Epoch for Different Test Datasets
4.2 Summary of Results Obtained from Different Test Datasets
5 Conclusion
References
Artificial Intelligence in the Tribology: Review
1 Introduction
1.1 ANN Technique
1.2 Classifications of Neural Network Models
1.3 Training the ANN
1.4 Backpropagation Process
2 Tribological Properties Studied Using ANN Technique
2.1 Condition and Tool Wear Monitoring
2.2 ANN for Wear and Friction Properties
2.3 Lubrication and Lubricant Formulation
2.4 Surface Modification and Technologies
2.5 Materialistic Properties
3 Conclusion
References
House Price Prediction Using Advanced Regression Techniques
1 Introduction
2 Literature Survey
3 Methodology
4 Dataset Description
5 Experimental Setup and Analysis
References
Product Integrity Maintenance and Counterfeit Avoidance System Based on Blockchain
1 Introduction
2 Literature Review
3 Blockchain as a Solution
3.1 Blockchain
3.2 Ethereum
3.3 Decentralized Applications (DApps)
4 System Architecture
4.1 Authentication Module
4.2 Blockchain Module
5 End User Interaction
6 Result and Observation
7 Conclusion
References
Efficient Building Fire Detection Using Synergistic Interaction of Activation Functions in Artificial Neural Network
1 Introduction
2 Methodology
2.1 Importance of Activation Functions in ANN
3 Results and Discussion
3.1 Dataset
3.2 Explanation
4 Conclusion
References
Performance Evaluation of Spectral Subtraction with VAD and Time–Frequency Filtering for Speech Enhancement
1 Introduction
2 Spectral Subtraction with Time–Frequency (SS-TF) Filtering: A Proposed Technique
2.1 Implementation of SS-VAD
2.2 Implementation of SS-TF
3 Experimental Results and Analysis
4 Conclusions
References
A Unified Libraries for GDI Logic to Achieve Low-Power and High-Speed Circuit Design
1 Introduction
2 GDI Library Creation
2.1 Basics of GDI
2.2 Signal Connectivity of GDI Cell
2.3 Library for Basic GDI Cell Without Buffer
2.4 Library for Basic GDI Cell with Buffer
2.5 Library for Basic GDI Cell with F1 and F2
2.6 Library for Basic GDI Cell with F1 and F2 Using Level Restoration
3 Experimentation and Results
4 Discussion
5 Conclusion
References
Detection of Diabetic Retinopathy Using Convolution Neural Network
1 Introduction
2 Related Work
3 Architecture
3.1 Machine Learning Model
3.2 Web Services
3.3 End-User
4 Methodology
4.1 Dataset
4.2 Data Pre-processing
4.3 CNN Classification
5 Performance Parameters
6 Experimental Result
7 Challenges
8 Conclusion
References
Drone-Based Security Solution for Women: DroneCop
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Use Case Diagram
3.2 Sequence Diagram
3.3 Data Flow Diagram
4 Results and Summary
5 Snapshots of the System
6 Conclusion and Future Work
References
Analysis of Granular Parakeratosis Lesion Segmentation: BCE U-Net vs SOTA
1 Introduction
2 Related Studies
3 System Architecture
4 Segmentation Techniques
4.1 Fcn
4.2 SegNet
4.3 DeepLabv3 +
4.4 U-Net
5 Results and Discussion
5.1 Dataset
5.2 Evaluation
5.3 Comparing to the State-Of-The-Art
6 Conclusion
References
Real-Time Health Monitoring of Relays and Circuit Breakers
1 Introduction
2 Background and Industrial Scenario
3 Related Work
4 Simulation
5 Establishment of Simulation System
5.1 Simulation
5.2 Analysis of Simulation Results
6 Hardware Development
6.1 Circuit Analysis
6.2 Analysis of Hardware Results
7 Conclusion and Future Scope
References
AI-Based Live-Wire News Categorization
1 Introduction
2 System Architecture
2.1 Management Console Module
2.2 Business Module
2.3 Application Module
3 Software Implementation
3.1 NewsAPI
3.2 Text Preprocessing and Label Encoding
3.3 Count Vectorizer and TF-IDF Vectorizer
3.4 Multinomial Model
3.5 Flask API and MongoDB Atlas
3.6 Pseudocode
4 Testing and Field Trails
5 Conclusion and Future Scope
References
Implementation of STFT for Auditory Compensation on FPGA
1 Introduction
2 Design Approach and Methodology
2.1 Discrete Fourier Transform and Fast Fourier Transform
2.2 STFT and the Algorithm for Auditory Compensation
3 HDL Implementation
4 Implementaion on XILIXN VIVADO
5 Results and Analysis
5.1 Verification of the Algorithm on Simulink
5.2 Modeling with Delay on Simulink
6 Conclusion
References
Smart Headgear for Unsafe Operational Environment
1 Introduction
2 System Architecture
2.1 NodeMCU (Node Microcontroller Unit)
2.2 Alcohol Sensor (MQ3)
2.3 Module Gyro Sensor
2.4 Vibration Sensor
2.5 FSR Sensor (Force Sensing Resistor)
3 Software Implementation
3.1 Setup of NodeMCU
3.2 Creating Cloud Database
3.3 Setting up of Rest API (Backend)
3.4 Circuit Connection of MQ3
3.5 Circuit Connection of FSR
3.6 Circuit Connection of GPS
4 Testing and Field Trails
4.1 Testing of Alcohol Sensor
4.2 Testing of FSR Sensor
4.3 Testing of Gyro Sensor
4.4 Testing of GPS
5 Conclusion and Future Scope
References
IMPROVE the Solar Panel Proficiency by Using of Free Energy from Street Light
1 Introduction
2 Mechanical Design and Arrangement of Solar Panel
3 Proposed System-Overview
4 Maximum Power Point Tracking Algorithm (MPPT)
5 DC–DC Boost Converter
6 Monitoring of the Solar Panel Using Gsm Module
7 Hardware Implementation of Proposed System
8 Conclusion
References
Hardware Implementation of Machine Vision System for Component Detection
1 Introduction
2 Literature Survey
3 Methodology
4 Design
4.1 Operation of a Machine Vision System
4.2 Hardware Architecture
4.3 Machine Vision System Fetcher
4.4 Electrical Cabinet Box
4.5 Electrical Planning Diagram
4.6 Hardware Interface
5 Results
6 Conclusion
7 Future Scope
References
DEOMAC—Decentralized and Energy-Efficient Framework for Offloading Mobile Applications to Clouds
1 Introduction
2 Literature Review
2.1 DEOMAC Architecture
2.2 Adaptive Cuckoo Search Optimization Algorithm (ACSOA)
3 Implementation and Experimental Evaluation
4 Conclusion
References
A Novel Approach for Identification of Healthy and Unhealthy Leaves Using Scale Invariant Feature Transform and Shading Histogram-PCA Techniques
1 Introduction
2 Mathematical Framework
2.1 SIFT
2.2 Color Histogram
2.3 PCA
3 The Proposed Algorithm
3.1 Proposed Algorithm Based on SIFT
3.2 Experimental Results
4 Conclusion
References
A Comprehensive Review on the Issue of Class Imbalance in Predictive Modelling
1 Introduction
2 Challenges Occurring with Class Imbalance in Predictive Modelling
2.1 Class Imbalance Ratio
2.2 Internal Clustering
2.3 Lack of Data
2.4 Class Overlapping
3 Techniques to Handle Imbalanced Classification
3.1 Data Preprocessing Techniques
3.2 Algorithmic Methods
3.3 Hybrid Methods
4 Applicable Domains
5 Evaluation Metrics
6 Future Research Directions
7 Conclusion
References
An Ameliorate Analysis of Cryptocurrencies to Determine the Trading Business with Deep Learning Techniques
1 Introduction
2 Related Works
3 Cryptocurrency
4 Proposed Methodology
4.1 Artificial Intelligence Methods—Useful in the Business and Economic Sectors
5 Results and Discussion
6 Conclusion and Future Scope
References
Gender Prediction Using Iris Features
1 Introduction
2 General Steps
3 Related Work
4 Experiments and Results
5 Conclusion
References
Hardware Implementation of an Activation Function for Neural Network Processor
1 Introduction
2 Approximation of Sigmoid Function
2.1 Two Point Piece-Wise Linear Approximation (PWL)
2.2 Three-Point Second-Order Interpolation (SOI)
3 Approximation of Sigmoid Function
3.1 Algorithm to Compute Sigmoid of Given X
4 Justification of the Novel Approach
5 Conclusion and Future Work
References
Using Big Data and Gamification to Incentivize Sustainable Urban Transportation
1 Introduction
2 Literature Review
3 Methodology
4 Future Enhancements
5 Conclusion
References
Optical Character Recognition System of Telugu Language Characters Using Convolutional Neural Networks
1 Introduction
2 Deep Learning Techniques
2.1 Fully Connected Neural Networks
2.2 Convolutional Neural Networks
2.3 Recurrent Neural Networks
3 Related Work
4 Proposed Work
4.1 Data Acquisition
4.2 Defining CNN Architecture
4.3 Training the Network
4.4 Deploy the Model
4.5 Testing the Network
5 Experimental Results
6 Conclusion
References
Implementation of Python in the Optimization of Process Parameters of Product Laryngoscope Manufactured in the Injection Mold Machine
1 Introduction
2 Methodology
2.1 Product Laryngoscope and the Process
2.2 Optimization of Surface Roughness Using Taguchi
2.3 Study of Injection Molding Factors
2.4 Surface Roughness Examinations
3 Implementation of Python
4 Conclusion
References
A Practical Approach to Software Metrics in Beehive Requirement Engineering Process Model
1 Introduction
2 Performance Measurement
3 Metrics
4 Result and Analysis
5 Conclusion and Future Enhancements
References
Suitability of Process Models for Software Development
1 Introduction
2 Evaluation Metrics
3 Application
4 Conclusion
References
Solving Problems of Large Codebases: Uber’s Approach Using Microservice Architecture
1 Introduction
2 Conclusion
References
Circular Economy with Special Reference to Electrical and Electronic Waste Management in India
1 Introduction
2 Concept of Circular Economy
3 Circular Economy Benefits
4 Circular Economy Challenges and Solutions
4.1 Recommendations to Incorporate Circular Economy in E-Waste Management
4.2 Roadmap for Recycling Solar Panels—A CE Approach
5 Conclusion
References
Analysis and Evaluation of Pre-processing Techniques for Fault Detection in Thermal Images of Solar Panels
1 Introduction
2 Previous Work
3 Nosie Removal Using Filters
3.1 Bilateral Filter
3.2 Wiener Filter
3.3 Mean Filter
3.4 Gaussian Filter
3.5 Median Filter
4 Contrast Enhancement Using Histogram Processing
4.1 Histogram Equalization
4.2 Contrastive Limited Adaptive Equalization (CLAHE)
4.3 Mean Preserving Bi-Histogram Equalization (BBHE)
4.4 Equal Area Dualistic Sub-Image Histogram Equalization (DSIHE)
4.5 Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE)
5 Performance Measures
5.1 Peak Signal-to-Noise Ratio
5.2 Mean Square Error
5.3 Signal-to-Noise Ratio
5.4 Structural Similarity Index
5.5 Absolute Mean Brightness Error (AMBE)
6 Comparative Analysis and Results
6.1 Filter Performance
6.2 Histogram Equalization
7 Conclusion
References
Comparative Analysis of Medical Imaging Techniques Used for the Detection of Thyroid Gland with an Emphasis on Thermogram
1 Introduction
2 Thermogram Images
3 Result
4 Conclusion
References
The AgroCart Android Application to Manage Agriculture System
1 Introduction
1.1 Brief History of Technology/Concept
1.2 Applications
2 Related Work
3 System Requirements
4 System Design
5 Technical Requirments
6 Results
7 Conclusion
References
Dielectric Recovery and Insulating Properties of Coconut Oil and Transformer Oil
1 Introduction
1.1 Coconut Oil
2 Experimental Setup and Procedure
2.1 ASTM D 877-02є1 Procedures
3 Results and Discussion
3.1 Continuous BDV Test on Mineral Transformer Oil
3.2 Comparative Breakdown Studies
3.3 Repeatability Tests
4 Conclusion
References
Predictive Maintenance of Lead-Acid Batteries Using Machine Learning Algorithms
1 Introduction
2 Predictive Maintenance Techniques
2.1 Data Collection
2.2 Feature Design
2.3 Model Training
3 Prediction Methods
3.1 Machine Learning Algorithms
3.2 Survival Analysis
4 Conclusion
References
Cloud-Aided IoT for Monitoring Health Care
1 Introduction
2 Cloud-Assisted IoT Application Trends in Health Care
2.1 Patient One-To-One Care
2.2 Telemedicine
2.3 Drug Supply Chain Management
3 Cloud-Assisted IoT Technology Trends in Health Care
3.1 Bluetooth
3.2 Light Fidelity (LIFI)
3.3 Near-Field Communications (NFC)
4 Security Challenges in Cloud-Assisted IoT
4.1 Memory Requirements
4.2 Speed of Calculation
4.3 Power Utilization
4.4 Scalability
4.5 Communication Channel
5 Cloud-Assisted IoT Benefits and Impacts
5.1 Smart Environments and Smart City
5.2 Telemedicine or E-wellbeing
5.3 Smart Transportation System
6 Conclusion
References
Energy-Efficient Dynamic Source Routing in Wireless Sensor Networks
1 Introductıon
2 Related Work
3 Routıng Protocol Classıfıcatıon
3.1 Proactive Routing Protocols
3.2 Reactıve Routıng Protocols
3.3 Destination Sequenced Distance Vector (DSDV)
3.4 Ad-Hoc On-Demand Distance Vector (AODV)
3.5 Dynamic Source Routing (DSR)
3.6 Dynamic Source Routing (DSR)
3.7 Energy-Efficient Dynamic Source Routing (EEDSR)
4 System Model and Performance Metrics
4.1 The Energy Model
4.2 Throughput
4.3 To-End Delay (Average)
4.4 Average Jitter
4.5 Energy Consumption
5 Simulation and Results
6 Conclusion
References
Impact on Squeeze Film Lubrication on Long Cylinder and Infinite Plane Surface Subject to Magnetohydrodynamics and Couple Stress Lubrication
1 Introduction
2 Mathematical Formulation
3 Result and Discussion
3.1 Dimensionless Film Pressure ( p )
3.2 Non-Dimensional Load ( W )
3.3 Squeezing Time
4 Conclusions
References
Collapse Detection Using Fusion of Sensor
1 Introduction
2 Block Diagram
3 Proposed Model
3.1 Source Data
3.2 Pre-processing Data
3.3 Input Data Visualization
3.4 Label Encoding
3.5 Correlation Matrix
3.6 Cross-Fold Validation
3.7 Model Training
3.8 Evolution
4 Result
5 Conclusion
References
Secured Storage of Information Using Audio Steganography
1 Introduction
2 Literature Survey
3 System Requirements Specifications
3.1 Functional Requirements
3.2 Quality of Service Requirements
3.3 User Requirements
4 Design
5 Implementation
5.1 Registration
5.2 User Input
5.3 Embedding the Secret File into the Audio Files
5.4 Hide Data
5.5 Recover Key
5.6 Extracting
5.7 Description of Process
6 Experiments and Results
6.1 Peak Signal-To-Noise Ratio (PSNR)
6.2 Signal Spectrum
7 Conclusion
References
Run-time Control Flow Model Extraction of Java Applications
1 Introduction
2 Literature Review
3 Architecture
4 Implementation
4.1 DiSL
4.2 hasNext Property
4.3 Dining Philosophers Problem
4.4 Single-Layer Perceptron Application
5 Results and Discussion
5.1 Trace Files and Models Obtained of the Dining Philosophers Problem
5.2 Trace File and Model We Have Obtained for Single-Layer Perceptron Application
6 Conclusion and Future Work
References
Accelerating Real-Time Face Detection Using Cascade Classifier on Hybrid [CPU-GPU] HPC Infrastructure
1 Introduction
2 Related Work
3 Hybrid [CPU-GPU] Infrastructures Used for Real-Time Face Detection
4 Face Detection Strategy
4.1 Viola and Jones Algorithm
5 Experimental Setup and Performance Analysis
5.1 Experimental Results
6 Conclusion
References
MedArch—Medical Archive and Analytical Solution
1 Introduction
2 Problem Statement
3 Proposed System
3.1 Doctor’s End
3.2 Patient’s End
4 Implementation
5 Conclusion
References
Pneumonia Prediction Using Deep Learning
1 Introduction
2 Related Work
3 Proposed Model
3.1 VGG 16-Layer Architecture
3.2 AlexNet Architecture
3.3 Architecture Difference Between AlexNet and VGGNet
3.4 Layer Architecture Difference Between AlexNet and VGGNet
4 Result Analysis
5 Conclusion
References
An Efficient Blockchain-Based Security Framework for PUF-Enabled IoT Devices in Smart Grid Infrastructure
1 Introduction
2 Related Work
3 System Model
4 Implementation
5 Discussion
6 Conclusion
References
The Abstraction of XOR Gate Using Reversible Logic
1 Introduction
2 Basics of Quantum Dot Cellular Automata (QCA)
3 Quantum Gate
4 Implementation and Flow of Data
5 Simulation
6 Result
7 Conclusion
References
VisionX—A Virtual Assistant for the Visually Impaired Using Deep Learning Models
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Hardware
3.2 Dataset
3.3 Methodology
4 Results
5 Conclusion
References
Analyzing the Performance of Novel Activation Functions on Deep Learning Architectures
1 Introduction
2 Activation Functions
2.1 Rectified Linear Unit (ReLU)
2.2 Approximation to Rectified Linear Unit (AReLU) [8]
2.3 Saha-Bora Activation Function (SBAF) [8]
2.4 Swish [9]
2.5 Scaled Exponential Linear Unit (SeLU)
2.6 Exponential Linear Unit(ELU)
2.7 Mish
3 Deep Neural Network Architectures
3.1 Convolution Neural Networks
3.2 DenseNet
4 Dataset
5 Methodology
6 Performance Analysis
7 Conclusion
References
Hybrid Model for Stress Detection of a Person
1 Introduction
2 Proposed System Architecture
3 Proposed System Flow
4 Implementation
5 Results
6 Conclusion
References
Machine Learning-Based Social Distance Detection: An Approach Using OpenCV and YOLO Framework
1 Introduction
2 System Architecture
3 Design
4 Implementation
4.1 Methodology
4.2 Description of the YOLO Framework
5 Description of the Process and Approach
5.1 Basics of Deep Learning
5.2 Image Fundamentals and OpenCV
5.3 Basics of Convolutional Neural Networks
5.4 The Four-Step Process of Creating a Deep Learning Model
6 Test Cases
7 Results
8 Impact of the Project and Future Scope
9 Conclusion
References
Autism Spectrum Disorder Prediction Using Machine Learning
1 Introduction
2 Related Works
3 Proposed System Architecture
3.1 Input Data
3.2 Labelling the Data
3.3 Classifier
3.4 Predicting for New Input
3.5 Work Flow of the Designed Model
4 Implementation
5 Results
6 Conclusion
References
Early Detection of Infection in Tomato Plant and Recommend the Solution
1 Introduction
2 Related Work
3 Proposed System Flow
3.1 Data Acquisition
3.2 Pre-processing
3.3 Feature Extraction
3.4 Training and Testing the Model
4 Result Analysis
5 Conclusion
References
Design and System Level Simulation of a MEMS Differential Capacitive Accelerometer
1 Introduction
2 Principle of Operation
3 Accelerometer Structure
4 Analytical Modeling
5 Simulation Study
6 Conclusion
References
Auto-Load Shedding and Restoration Using Microcontroller
1 Introduction
2 Background
3 Basic Design
4 Components for Auto-Load Shedding and Restoration
5 Simulations with Result and Discussions
6 Conclusion
7 Future Scope
References
A Review on Design and Performance Evaluation of Privacy Preservation Techniques in Data Mining
1 Introduction
2 Privacy Concerns in Data Mining
3 Privacy Preservation Techniques
4 Literature Survey
5 Comparison of PPDM Techniques
6 Conclusion
References
Controller Area Network (CAN)-Based Automatic Fog Light and Wiper Controller Prototype for Automobiles
1 Introduction
2 Literature Survey
3 Hardware and Software Requirements
3.1 Hardware Requirements
4 Design and Implementation
5 Results and Discussions
6 Conclusion and Future Scope
References
Multivariate Long-Term Forecasting of T1DM: A Hybrid Econometric Model-Based Approach
1 Introduction
2 Librepro and Ohio T1DM Dataset
2.1 Dataset A: Librepro CGM Sensor Dataset
2.2 Dataset B: Ohio T1DM CGM Sensor Dataset
3 Dataset B Preparation
3.1 Data Sampling and Interpolation
3.2 Data Conversion
3.3 Data Segregation (Time-Flag Methodology)
4 Analytical Model
4.1 Multivariate Time Series Models
5 Results and Discussion
6 Conclusion
References
Master and Slave-Based Test-Bed for Waste Collection and Disposal: A Dissertation
1 Introduction
2 Test-Bed Requisites
3 Workflow: Master Bin and Slave Bin
3.1 Control Mechanism
4 Detailed Discussions
5 Conclusion
References