Proceedings of International Conference on Computational Intelligence and Data Engineering: ICCIDE 2021 (Lecture Notes on Data Engineering and Communications Technologies)

Preface
Contents
About the Editors
Genetic Algorithm-Based Vaccine Optimization Technique to Control COVID-19
	1 Introduction
	2 Vaccine Optimization: A Literature Review
	3 Genetic Algorithm Flow
		3.1 The Optimization Issue
		3.2 Process of Vaccine Selection
		3.3 Serological Study
		3.4 Technology Development
		3.5 Mathematical Model
		3.6 Impact of New Vaccine Technologies
	4 Vaccine Optimization
	5 Genetic Algorithm-Based Vaccine Optimization
	6 Conclusion
	References
Ethereum MongoDB: Integrating Blockchain with Non-relational Databases
	1 Introduction
		1.1 Overview of Blockchain
		1.2 Ethereum MongoDB
	2 Related Work
	3 Proposed Approach
		3.1 Design
		3.2 Data Representation and Storage
		3.3 Pseudo-Algorithm
		3.4 Result Analysis
	4 Conclusion and Future Work
	References
Attention-Based Discrimination of Mycoplasma Pneumonia
	1 Introduction
	2 Related Works
	3 Proposed Model
		3.1 Data Collection and Preprocessing
		3.2 UGTN: Unsupervised Generative Transfusion Network
		3.3 Transformer for Predictive Modeling
	4 Results
	5 Conclusion
	References
Minimum Weight Dominating Set Using Chemical Reaction Optimization Algorithm
	1 Introduction
	2 Related Work
	3 Proposed Method Using Chemical Reaction Optimization
		3.1 Population Generation
		3.2 Local Search Procedure
		3.3 Neighborhood Search Operator
		3.4 Operator Design
		3.5 Repair Operator
		3.6 Parameter Settings
	4 Experimental Results
	5 Conclusion
	References
A Hybrid Domain Fragile Watermarking Technique for Authentication of Color Images
	1 Introduction
	2 Proposed Work
		2.1 Embedding
		2.2 Extraction
	3 Experimental Results
	4 Conclusion
	References
IoT-based Carbon Monoxide Monitoring Model for Transportation Vehicles
	1 Introduction
	2 Existing System Model
	3 Literature Survey
	4 Proposed CO Monitoring Model
		4.1 CO Sensor
		4.2 Relay
		4.3 Internet of Things (IoT)
	5 Implementation
	6 Conclusion
	References
TWEERIFY: A Web-Based Sentiment Analysis System Using Rule and Deep Learning Techniques
	1 Introduction
	2 Methodology
		2.1 Tweet Data Collection and Preprocessing
		2.2 Model Development
		2.3 Performance Evaluation
	3 Results and Discussion
		3.1 Model Evaluation
		3.2 Characteristics of Aspects Extracted
		3.3 Sentiment Polarity Module
		3.4 Web-Based Graphical User Interface
	4 Conclusion and Future Work
	References
Machine Learning Based Fake News Detection on Covid-19 Tweets Data
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 COVID-19 Twitter Data
		3.2 Data Cleaning and Data Pre-processing
		3.3 Train Test Split
		3.4 Models
	4 Experimental Result
	5 Conclusion
	References
Adverse Effect of Electromagnetic Frequency on Human Being Health Under Real-life Scenario: A Comparative Study
	1 Introduction
	2 Sources of EMF Generation
		2.1 Modern Wireless Radiation Exposures
	3 Related Work
		3.1 Machine Learning
	4 Comparison of Result
	5 Conclusion
	References
Consistency Driven Cross-Modal Twitter Sentiment Analysis and Opinion Mining
	1 Introduction
	2 Related Work
	3 System Architecture
		3.1 Text Preprocessing
		3.2 Textual Feature Extraction
		3.3 Image to Tag Generation
		3.4 Text Extraction from Image
		3.5 Consistent Image-Text Sentiment Classification
		3.6 Inconsistent Image-Text Sentiment Classification
		3.7 Opinion Mining
	4 Experimental Results
		4.1 Dataset
		4.2 Performance Metrics
	5 Conclusion
	References
A Blockchain-Based Document Verification System for Employers
	1 Introduction
	2 Related Work
	3 Background
		3.1 Blockchain
		3.2 Proof of Work
		3.3 Immutability
		3.4 Ethereum
		3.5 Smart Contracts
		3.6 DApps
		3.7 Metamask
		3.8 Rinkby
		3.9 Remix
	4 Proposed Solution
		4.1 Assumptions and Scope
		4.2 Architecture
		4.3 Implementation
	5 Experimental Evaluation and Results
	6 Conclusion and Future Work
	References
Railroad Segmentation Using Modified UNet
	1 Introduction
	2 Related Works
		2.1 Railroad Detection
		2.2 Segmentation
		2.3 UNet
	3 Proposed System
		3.1 System Architecture
	4 Implementation and Results
		4.1 Preprocessing
	5 Performance Evaluation
	6 Conclusion
	References
Weight Pruning in Convolutional Neural Network for Efficiency in Plant Disease Detection
	1 Introduction
	2 Related Work
	3 Data Acquisition and Preprocessing
	4 Need of Pruning and How to Achieve It
	5 Results and Comparison
	6 Deployment and Integration
	7 Conclusion
	References
An Edge Computing-Assisted Internet of Things-Based Secure Smart Home
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 System Implementation
	4 Results
	5 Conclusion
	References
Onion Price Prediction Using Machine Learning Approaches
	1 Introduction
	2 Related Works
	3 Proposed Method
	4 Implementation
	5 Results and Discussion
	6 Conclusion and Future Scope
	References
Development of an IoT-Based Bird Control System Using a Hybrid Deep Learning CNN-SVM Classifier Model
	1 Introduction
	2 Related Work
	3 The Proposed System
		3.1 Hybrid Deep Learning CNN-SVM Classifier Model
		3.2 IoT-Based Bird Control System
	4 Experimental Results
	5 Conclusion and Future Directions
	References
Social Media Analysis for Flood Nuggets Extraction Using Relevant Post Filtration
	1 Introduction
	2 Related Work
	3 System Architecture
		3.1 Relevant Post Filtration
		3.2 Location Extraction and Identification
		3.3 Depth Estimation
	4 Experimental Results
		4.1 Data Set
		4.2 Results
	5 Conclusion
	References
Fog Clustering-based Architecture for Load Balancing in Scientific Workflows
	1 Introduction
		1.1 Our Contribution
	2 Related Work
	3 Fog Clustering-based Load Balancing Framework for Scientific Workflows
	4 Proposed Hybrid Load Balancing Algorithm
	5 Result and Discussion
	6 Conclusion and Future Scope
	References
Multi-font Curved Text Scene for Enhanced OCR Readability
	1 Introduction
	2 Related Works
	3 Proposed Approach
		3.1 Page Line Processes
		3.2 Curved Multi-font
		3.3 Curved Equal Font
	4 Results of Experiment and Analysis
	5 Conclusions and Future Work
	References
Intelligent Path Planning with Improved BFS (I-BFS) Strategy for Mobile Robot in RFID Equipped Unknown Environment
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 RFID Communication Unit
		3.2 Navigation Algorithm
	4 Result Analysis
		4.1 Experiment I: Fully Obstacle-Free Environment
		4.2 Experiment II: Complex Environment
	5 Conclusion
	References
Application of Deep Learning in Honeypot Network for Cloud Intrusion Detection
	1 Introduction
		1.1 Security Issue in Cloud Computing
	2 Intrusion Detection
	3 Overview of Honeypot
	4 Intrusion Detection and Prevention Using Honeypot Network
	5 Related Work
	6 Proposed Methodology
		6.1 Advantages of Proposed Framework
		6.2 Factors Needed for Proposed Framework
	7 Conclusion
	References
Optimal Real-time Pricing and Sustainable Load Scheduling Model for Smart Homes Using Stackelberg Game Theory
	1 Introduction
	2 System Model
	3 Problem Formulation
		3.1 Follower\'s Problem
		3.2 Leader\'s Problem
		3.3 The Stackelberg Game
	4 Methodology
		4.1 Solving Leader\'s Problem
		4.2 Solving Followers\' Problem
	5 Results
	6 Conclusion
	References
Unsupervised Spectral Feature Extraction for Hyperspectral Image Classification
	1 Introduction
	2 Proposed Approach
		2.1 Fast-Independent Component Analysis (FICA)
		2.2 Convolutional Neural Network (CNN)
	3 Datasets and Experimental Setup
	4 Results and Observations
		4.1 Classification Maps
		4.2 Comparison of Performance Measures
	5 Conclusion
	References
Distributed Ledger Framework for an Adaptive University Management System
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 System Architecture
		3.2 Usecases
	4 Conclusion
	5 Future Work
	References
Fuzzy Model-Based Robust Clustering with Multivariate t-Mixture Distributions
	1 Introduction
	2 Fuzzy Model-Based Clustering Using Multivariate t-Distribution
	3 Numerical Examples and Comparisons
		3.1 Synthetic Data Set
		3.2 Real Data Sets
	4 Conclusions
	References
Tackling COVID-19 Infodemic Using Deep Learning
	1 Introduction
	2 Literature Review
	3 Dataset and Experimental Setup
	4 Methodology
		4.1 Data Cleaning
		4.2 Data Pre-processing
		4.3 Removing Stop Words
		4.4 Stemming
		4.5 Feature Extraction
		4.6 Data Classification Using Conventional Models
		4.7 Deep Learning Models
	5 Experimental Results
		5.1 Classification Algorithms for Predicting Fake COVID-19 News
		5.2 Deep Learning Models
		5.3 Comparative Study
	6 Future Work
	7 Conclusion
	References
Automatic Blood Vessel Segmentation in Retinal Fundus Images Using Image Enhancement and Dynamic Gray-Level Thresholding
	1 Introduction
	2 Related Works
	3 Methods of Blood Vessel Segmentation
		3.1 Color Channel Selection
		3.2 Image Complement and Enhancement
		3.3 Optic Disk Removal
		3.4 Binarization Using Gray-Level Thresholding
		3.5 Blood Vessel Segmentation Process
	4 Experimental Results
		4.1 Dataset Description
		4.2 Blood Vessel Segmentation
		4.3 Performance Evaluation
	5 Conclusion and Future Work
	References
Security of Digital Images Based on SHA-3 and Multiplication-Rotation-XOR (MRX) Operations over Galois Field
	1 Introduction
	2 Preliminaries
		2.1 SHA-3
		2.2 Galois Field
	3 Description of the Proposed Technique
		3.1 Preprocessing on Secret Key and SHA-3-256
		3.2 Block Substitution
		3.3 Encryption Procedure
		3.4 Decryption Process
	4 Implementation and Experimental Results
	5 Statistical and Security Analyses
		5.1 Key Space Analysis
		5.2 Key Sensitivity Analysis
		5.3 Histogram Analysis
		5.4 Information Entropy Analysis
		5.5 NPCR and UACI Tests
	6 Comparison with the Existing Methods
	7 Conclusion
	References
Multimodal Depression Severity Detection Using Deep Neural Networks and Depression Assessment Scale
	1 Introduction
	2 Related Work
		2.1 Facial Emotion Analysis from Video
		2.2 Emotion Analysis from Speech
		2.3 Emotion Analysis from Text
		2.4 Hamilton Depression Rating Scale (HDRS)
	3 Proposed Methodology
		3.1 Facial Emotion Recognition Model
		3.2 Speech Emotion Recognition Model
		3.3 Text Emotion Recognition Model
		3.4 Depression Severity Detection with HDRS
	4 Results
	5 Conclusion
	References
Machine Learning Model for Automated Sleep Scoring Based on Single-Channel EEG Signal Data
	1 Introduction
		1.1 Related Work
	2 Experimental Sleep Data
	3 Methodology
		3.1 Feature Selection
	4 Experimental Results and Discussion
	5 Conclusion and Future Directions
	References
Cyber Security and the Internet of Things: Vulnerabilities, Threats, Intruders, and Attacks
	1 Introduction
	2 Related Work
	3 Adversarial Attacks on IoT Devices
	4 Methodology
	5 Conclusion and Future Work
	References
Asymmetric Cryptosystem for Triple Color Images Using 6D Hyperchaotic System and Equal Modulus Decomposition in Fractional Transform Domain
	1 Introduction
	2 Preliminary Knowledge
		2.1 2D-fractional Discrete Cosine Transform
		2.2 The 6D Hyperchaotic System
		2.3 Equal Modulus Decomposition
	3 Triple Color Image Encryption and Decryption Process
		3.1 Key Generation
		3.2 Algorithm for Triple Color Image Encryption
		3.3 Algorithm for Decryption
	4 Experimental Results
	5 The Security Analysis
		5.1 Analysis Based on Keyspace and Key Sensitivity
		5.2 Differential Attack Analysis
		5.3 Statistical Analysis
	6 Related Works Comparison
	7 Conclusion
	References
On the Evaluation and Implementation of LSTM Model for Speech Emotion Recognition Using MFCC
	1 Introduction
	2 Materials and Methods
	3 Experimentation and Results
	4 System Implementation
	5 Conclusion
	References
Analyzing the Effects of Text Representations on the Performance of Document Clustering in Public Health Tweets
	1 Introduction
	2 Related Research
	3 Methodology
		3.1 Word Embedding Models
		3.2 Clustering
		3.3 Performance Measures
	4 Analysis and Results
		4.1 Topic Interpretation
	5 Word Cloud
	6 Conclusion
	References
Learning from Imbalanced Healthcare Data Using Overlap Pattern Synthesis
	1 Introduction
	2 Proposed Mining Model—Overlap Pattern Synthesis
		2.1 Notations and Definitions
		2.2 Proposed Model
	3 Overlap Pattern Synthesis—Main Principles
		3.1 Formal Procedure on Pattern Synthesis—Overlap Principle
		3.2 Overlap Pattern Synthesis—Illustration and Approximation
		3.3 Pattern_Syn Technique
	4 Experimental Details
		4.1 Data Description
		4.2 Observations
	5 Conclusion
	References
Polynomial Formal Verification of Arithmetic Circuits
	1 Introduction
	2 Polynomial Formal Verification
		2.1 Importance of Polynomial Verification
		2.2 Research Works in Polynomial Verification
	3 Polynomial Formal Verification of a Simple ALU
		3.1 ALU Overview
		3.2 BDD-based Verification
		3.3 Complexity Bounds of Arithmetic Units
		3.4 Complexity Bounds of Logic Units
		3.5 Experimental Results
	4 Polynomial Formal Verification of Advanced ALUs
	5 Conclusion
	References
Author Index