Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2022

Conference Committee Members
Preface
Acknowledgements
Contents
Editors and Contributors
A Graph-Based Model for Discovering Host-Based Hook Attacks
	1 Introduction
	2 Related Works
	3 Proposed Graph-Based Model
		3.1 Preliminary Processing Stage
		3.2 Malware Detection Stage
	4 Experimental Results and Discussion
		4.1 Discussion
		4.2 Limitations
	5 Conclusions
	References
E-Health Care Patient Information Retrieval and Monitoring System Using SVM
	1 Introduction
	2 Related Works
	3 Proposed Model in IoT
		3.1 Microcontroller
		3.2 Sensors
		3.3 Blood Pressure Sensor
		3.4 Temperature Sensor
		3.5 Three Axis Accelerometer Sensors.
		3.6 Display Device
		3.7 Alarm System
		3.8 SVM Algorithm
		3.9 Cloud Server
	4 Proposed Work
	5 Results and Discussion
		5.1 Diagnosing Patient in Intensive Care Unit
		5.2 Sending Notification Through Cloud
		5.3 Support Vector Machine
	6 Conclusion
	References
Number Plate Recognition Using Optical Character Recognition (OCA) and Connected Component Analysis (CCA)
	1 Introduction
		1.1 The Purpose of This Paper
	2 Detection of License Plates
		2.1 Binarization of Images
		2.2 Detecting the Edges
		2.3 Connected Component Analysis (CCA)
		2.4 Mathematical Morphology
		2.5 Related Work in the Number Plate Detection
	3 Character Segmentation
	4 Character Recognition
	5 Conclusion
	Bibliography
Cartoonify an Image with OpenCV Using Python
	1 Introduction
	2 Objectives
		2.1 Filter by Median
		2.2 Filter Laplacian
		2.3 Filter by Median
	3 Implementation
		3.1 Step by Step Implementation
		3.2 Statement of the Problem
		3.3 Advanced Technical Approach
	4 Proposed System
		4.1 Challenges and Problem
	5 Conclusion
	References
Web Design as an Important Factor in the Success of a Website
	1 Introduction
	2 Affective Factors for a Successful Website of e-commerce
	3 Importance of Webdesign in e-commerce
	4 Usability
	5 A Case Study of Totally Blind Persons Interacting on the Internet
	6 Conclusion
	References
Earlier Selection of Routes for Data Transfer In Both Wired and Wireless Networks
	1 Introduction
	2 Related and Proposed Work
	3 Modules Description
		3.1 Path Reservation
		3.2 Minimum Bandwidth Allocation
		3.3 Time Management
		3.4 Admission Control
	4 Test Cases
	5 Conclusion
	6 Future Enhancement
	References
Identifying River Drainage Characteristics by Deep Neural Network
	1 Introduction
	2 Related Work
		2.1 Identifying Various Size and Shape of River Drainage
		2.2 Generate River Drainage Image by Spatial, Spectral, Angular, and Temporal Model
	3 Result
	4 Discussion
	5 Conclusion
	References
A Review on Optimal Deep Learning Based Prediction Model for Multi Disease Prediction
	1 Introduction
	2 Literature Review
	3 Review on Traditional Multi-disease Prediction Models
	4 Methodology
	5 Conclusion
	References
A Hybrid Multi-user Based Data Replication and Access Control Mechanism for Cloud Data Security
	1 Introduction
	2 Related Works
	3 Proposed Model
	4 Experimental Results
	5 Conclusion
	References
Leveraging the Goldfinger Attack in Blockchain Based on the Topological Properties
	1 Introduction
	2 Study Review
	3 Contribution of the Study
	4 Methodology and Design
		4.1 Peer-To-Peer Network Connectivity
	5 Implementation
		5.1 General Network Before the Goldfinger Attack
		5.2 Results of General Network Before the Goldfinger Attack
		5.3 Implementation of the Goldfinger Attack
	6 Results
	7 Discussion and Analysis
	8 Conclusion
	References
Bitcoin Transaction Computational Efficiency and Network Node Power Consumption Prediction Using an Artificial Neural Network
	1 Introduction
	2 Study Review
	3 Contribution of the Study
		3.1 Methodology
	4 Results and Discussion
	5 Conclusion and Future Work
	References
Remote Breast Cancer Patient Monitoring System: An Extensive Review
	1 Introduction
	2 Related Work on Breast Cancer
		2.1 Existing Approaches to Detect Breast Cancer:
		2.2 Popular Datasets Available for Research
		2.3 Deep Learning Techniques for Early Diagnosis of Breast Cancer
	3 Challenges and Issues in Remote Monitoring System
	4 Case Study: A Remote Breast Cancer Patient Monitoring System
	5 Result and Analysis of Existing Techniques
	6 Conclusion
	References
Simplifying the Code Editor Using MEAN Stack Technologies
	1 Introduction
		1.1 Why MEAN?
	2 Related and Proposed Work
		2.1 Existing Systems
		2.2 Proposed System
	3 Results and Sample OUTPUT Screens
	4 Conclusion
	References
Prediction and Identification of Diseases to the Crops Using Machine Learning
	1 Introduction
	2 Literature Review
	3 Motivation
	4 Proposed System
	5 Flowchart
	6 Algorithms, Dataset Used, and Accuracy Comparison
	7 Conclusion
	References
Pulse-Based Smart Electricity Meter Using Raspberry Pi and MEFN
	1 Introduction
	2 Literature
	3 Proposed Methodology
	4 System Design
	5 Conclusion
	References
Brain Tumor Segmentation Using U-Net
	1 Introduction
		1.1 Brain Tumor Modalities
	2 Literature Review
	3 Materials and Methods
		3.1 U-Net Architecture
		3.2 Fully Convolutional Network
	4 Results and Discussions
	5 Conclusion
	References
An Empirical Study of CNN-Deep Learning Models for Detection of Covid-19 Using Chest X-Ray Images
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Model Formulation
	3 Experimental Results
		3.1 Evaluation Matrices
		3.2 Comparison of Various CNN-DL Models
		3.3 Comparison of Various CNN-DL Models
	4 Conclusion
	References
Detection of Eye Blink Using SVM Classifier
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Face Detection
		3.2 Eye Pair Detection
		3.3 Classification Using SVM Model
	4 Results and Discussions
	5 Conclusion
	References
A Novel Approach for Health Analysis Using Machine Learning Approaches
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Decision Tree
		3.2 Naïve Bayesian
		3.3 Random Forest
		3.4 K-Nearest Neighbor (KNN)
	4 Results and Discussions
	5 Conclusion and Future Scope
	References
Classification of Healthy and Diseased Lungs by Pneumonia Using X-Rays and Gene Sequencing With Deep Learning Approaches
	1 Introduction
	2 Literature Survey
	3 Materials and Methods
		3.1 Convolutional Neural Network (CNN)
		3.2 Inception V3 Model
	4 Proposed Model
	5 Results and Discussions
	6 Proof of Concept
		6.1 POC Architecture
		6.2 POC Design
		6.3 Result
	7 Conclusion and Future Work
	References
Breast Cancer Classification Using Improved Fuzzy C-Means Algorithm
	1 Introduction
	2 Proposed Work
		2.1 Pre-processing
		2.2 Labels and Other Artifacts Removal from the Background
		2.3 Removing of Pectoral Muscle
		2.4 Enhancement of Image
		2.5 Measurement of PSNR Value and MSE Value
	3 Optimization Segmentation
		3.1 Optimization Using Independent Search Krill Herd Technique
	4 Results and Discussions
	5 Conclusion and Future Work
	References
Repercussions of Incorporating Filters in CNN Model to Boost the Diagnostic Ability of SARS-CoV-2 Virus Using Chest Computed Tomography Scans
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Algorithm
	4 Results and Analysis
		4.1 Dataset Execution
		4.2 Graphical Representation of Accuracy and Loss Attained
		4.3 Comparing the Model with Latest Methods
		4.4 Graphical Representation of Comparing the Model with Related Methods
	5 Conclusion
	References
Software Development Estimation Cost Using ANN
	1 Introduction
	2 Estimation Model Performance
	3 Artificial Neural Network Models
	4 Network Performance Evaluation
		4.1 Performance Measurement
		4.2 Simulated Development Data
	5 Conclusion
	Bibliography
A Generic Flow of Cyber-Physical systems—A Comprehensive Survey
	1 Introduction
	2 CPS Evolution
	3 Applications
	4 CPS Models
	5 Security Models
	6 CPS Properties
	7 Challenges in CPS
	8 Model-Driven Conceptual Approaches
	9 Conclusion
	References
Mental Disorder Detection in Social Networks Using SVM Classification: An Improvised Approach
	1 Introduction
	2 Literature Survey
	3 Existing System
	4 Proposed System
	5 Methodology
		5.1 OSN Framework Construction
		5.2 Data Collection
		5.3 Pre-Processing
		5.4 Feature Extraction
	6 Conclusion
	7 Future Work
	References
An Enhanced K-Means Clustering Algorithm to Improve the Accuracy of Clustering Using Centroid Identification Based on Compactness Factor
	1 Introduction
	2 Related Works
	3 Centroid Recognition Based on Compactness
		3.1 The Improved k-means Clustering Algorithm Using Regional Centroid Component (RCC)
	4 Results and Discussion
	5 Conclusion
	References
Prediction of Chronic Kidney Disease with Various Machine Learning Techniques: A Comparative Study
	1 Introduction
	2 Literature Review
	3 Materials and Method
	4 Results and Discussion
	5 Conclusion
	References
Blockchain and Its Idiosyncratic Effects on Energy Consumption and Conservation
	1 Introduction
		1.1 Applications
	2 Literature Review
		2.1 Study and Review of the Factors/activities Involved in the Energy Industry
	3 Proposed System: Application to Enable Energy Trading [Ethereum Code]
	4 Conclusion
	References
Smart Hydroponics System for Soilless Farming Based on Internet of Things
	1 Introduction
	2 Background Study
		2.1 Origin and History of Hydroponics
		2.2 What is Hydroponics
	3 Technical Specification
		3.1 Methodology
		3.2 Hydroponic System and Essential Components
	4 Project Implementation and Results
		4.1 Hardware Setup
		4.2 ThingSpeak Dashboard
		4.3 Mint Cultivation
	5 Conclusion and Future Work
	References
Solution Approach for Detection of Stock Price Manipulation by Market Operators
	1 Introduction
		1.1 Strategies to Influence Investors
		1.2 How Does Manipulation Work?
	2 Literature Survey
	3 Proposed Methodology
		3.1 Detailed Discussion
		3.2 Proposed Implementation Methods
	4 Summary and Conclusion
	5 Future Work and Limitations
	Bibliography
Cancer Cell Detection and Classification from Digital Whole Slide Image
	1 Introduction
	2 Contributions
	3 Related Works
	4 Dataset and Computing Machine Details
	5 Implementation Details
	6 Experimental Results
	7 Results Overview
	8 Conclusion
	References
Author Index