Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems: ICACECS 2022 (Lecture Notes in Networks and Systems, 612)

Committees—ICACECS-2022
Preface
Acknowledgemets
Contents
Editors and Contributors
Enneaontology: Toward an Enneagram Personality Detection
	1 Introduction
	2 Building
	3 Design
	4 Discussion
	5 Conclusion
	References
Anomalies Detection on Contemporary Industrial Internet of Things Data for Securing Crucial Devices
	1 Introduction
	2 Literature Review
	3 Various Security Concerns and Challenges in Implementing the IIoT
	4 Anomaly in IIoT Data
		4.1 Types of Anomalies
		4.2 Methods to Resolve Anomalies
	5 Methodology
		5.1 Dataset
		5.2 Classification Algorithm
		5.3 Random Forest
		5.4 Logistic Regression
		5.5 Stochastic Gradient Descent (SGD)
		5.6 Support Vector Machine (SVM)
		5.7 Naïve Bayes
	6 Results
		6.1 Receiver Operating Characteristic (ROC) Curve
		6.2 Evaluation Parameters
	7 Conclusion
	References
Automatic Sentiment Analysis Scalability Prediction for Information Extraction Using SentiStrength Algorithm
	1 Introduction
	2 Literature Review
	3 Sentiment Analysis Saleability Prediction for Information Extraction
	4 Experimental Results
	5 Conclusion
	References
Vegetable Plant Leaf Image Classification Using Machine Learning Models
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset Preparation
		3.2 Feature Extraction Using PCA
		3.3 Splitting Dataset into the Test, Train, and Validate
		3.4 Using Machine Learning Classifiers to Analyze Datasets
	4 Experiments
		4.1 Experimental Design
		4.2 Experimental Setup
	5 Result and Analysis
		5.1 Description of Results
		5.2 Analysis of Results
	6 Conclusion
	References
A Novel SARS-COV-2 Variant Omicron Disseminating Evaluation
	1 Introduction
	2 Related Works
	3 Background
		3.1 Dataset Details
	4 Experimental Result
	5 Discussions
	6 Conclusion
	References
Cryptanalysis of Tiny Encryption Algorithm Based on SMT Solvers Using HPC
	1 Introduction
	2 Tiny Encryption Algorithm
	3 Related Study on TEA
	4 Algebraic Cryptanalysis
		4.1 SMT Solver
	5 Algebraic Cryptanalysis on TEA
		5.1 Model Generation in Z3(Py) Format
	6 Cryptanalysis Results of TEA
	7 Conclusion
	References
Diagnosis of Pulmonary Diseases from Chest X-ray Using Deep Learning Approaches
	1 Introduction
	2 Related Works
	3 System Architecture
		3.1 Pre-processing
		3.2 Segmentation
		3.3 Classification
	4 Experimental Results
	5 Conclusion
	References
Performance Analysis of CNN for Patch-Based Sclera–Periocular Biometrics
	1 Introduction
	2 Related Work
	3 Patch-Based Sclera–Periocular Biometrics
	4 CNN Model
	5 Sclera–Periocular Data Set
	6 Results and Analysis
	7 Comparison of CNN for Different Patch Sizes
	8 Conclusion
	References
Reliable Transmission of Multimedia Data Over Wireless Sensor Networks
	1 Introduction
	2 Related Work
	3 CATSA-PABE-HCA Method
		3.1 Routing Using CATSA
		3.2 Passive Available Bandwidth Estimation
		3.3 Hybrid Compression for an Effective Data Transmission
	4 Results and Discussion
	5 Conclusion
	References
Leader-Follower Based Low-Degree Formation Control of Fixed-Wing Unmanned Aerial Vehicles in 3D
	1 Introduction
	2 Vehicle Model
		2.1 Leader-Follower-Based Formation Scheme
	3 Artificial Potential Field Function
		3.1 Attractive Potential Field Functions
		3.2 Repulsive Potential Field Functions
		3.3 Fixed Obstacles
		3.4 Moving Obstacles
		3.5 Workspace Limitations
		3.6 Dynamic Constraints
	4 Design of the Acceleration-Based Controllers
		4.1 Lyapunov Function
		4.2 Nonlinear Acceleration Controllers
	5 Stability Analysis
	6 Simulation Results and Discussion
	7 Conclusion
	References
Effective Load Balancing and Load Sharing in Multi-access Edge Computing for Extreme Network Congestion
	1 Introduction
	2 Related Work
	3 Fault Tolerant Load Balancing and Sharing Scheme for Reduced Network Congestion
		3.1 System Model
		3.2 Problem Formulation
		3.3 Proposed Framework
	4 Result and Analysis
	5 Conclusion and Future Directions
	References
Prediction of Depression in Techies at Workplaces
	1 Introduction
		1.1 Causes of Depression
		1.2 Symptoms of Depression
		1.3 Treatments for Depression
		1.4 Statistical Information
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset
		3.2 Features
		3.3 Preprocessing
		3.4 Feature Importance
		3.5 Feature Selection
		3.6 Model Selection
	4 Experimental Results and Discussion
		4.1 Simulation Setup
		4.2 Evaluation Metrics
		4.3 Comparative Analysis
	5 Conclusion
	References
Experimental Validation of Mesa Sine Wave in Stock Price Prediction
	1 Introduction
	2 Literature Survey
	3 Proposed Work
		3.1 Experimental Validation of Lead Mesa Sine Wave for Stock Market Prediction
		3.2 Stock Price Prediction using Historical Closing Values
	4 Conclusion
	References
Testbed Implementation of MAX LEACH Routing Protocol and Sinkhole Attack in WSN
	1 Introduction
	2 Related Work
		2.1 Sinkhole Attack
	3 Testbed Implementation of MAX LEACH Routing Protocol
	4 Results and Analysis
	5 Testbed Implementation of Sinkhole Attack in MAX LEACH
	6 Conclusion and Future Work
	References
An Adaptive Algorithm for Polysemous Words in Natural Language Processing
	1 Introduction
	2 Related Work
		2.1 Supervised Learning
		2.2 Unsupervised Learning
		2.3 Semi-supervised Learning
		2.4 Challenges
	3 Methodology
		3.1 Training
		3.2 Testing
		3.3 System Architecture
		3.4 Construction of Word Embedding
	4 Experimentation Details
		4.1 Datasets
	5 Result and Discussion
	6 Conclusion and Future Work
	References
CS-FA Nature Inspired Algorithm-Based Robust Video Watermarking
	1 Introduction
	2 Materials and Methods
		2.1 Discrete Wavelet Transforms
		2.2 Singular Value Decomposition (SVD)
		2.3 Hybrid CS-FA Algorithm
		2.4 Secret Sharing
	3 Proposed Algorithm
		3.1 Achieving Optimal Scaling Factor Using CS-FA Algorithm
		3.2 Mathematical Model
	4 Results and Discussion
	5 Conclusion
	References
Investigation of MANET Routing Protocols to Enhance QoS for Communication
	1 Introduction
	2 Literature Survey
	3 Proposed Work
		3.1 QoS Implementation Architecture
		3.2 MPDSR with QoS Decision System
	4 Simulation Tool Overview
		4.1 Simulation Parameters
		4.2 Performance Metrics
	5 Conclusion
	References
Leader-Follower Based Control of Fixed-Wing Multi-Robot System (MRS) via Split-Rejoin Maneuvers in 3D
	1 Introduction
	2 Vehicle Model
	3 Artificial Potential Field Function
		3.1 Attractive Potential Field Functions
		3.2 Repulsive Potential Field Functions
	4 Design of the Acceleration Controllers
		4.1 Lyapunov Function
		4.2 Nonlinear Acceleration Controllers
	5 Stability Analysis
	6 Simulation Results and Discussion
	7 Conclusion
	References
MR Image Block-Based Brain Tumour Detection Using GLCM Texture Features and SVM
	1 Introduction
	2 Related Work
	3 Dataset and Metrics Used
		3.1 Dataset
		3.2 Metrics
	4 Proposed Method
		4.1 Convert T2W Images into 8 × 8 Blocks
		4.2 GLCM Features
		4.3 Feature Selection
		4.4 Classification
		4.5 Support Vector Machine (SVM)
		4.6 Training Phase
		4.7 Testing Phase
	5 Results and Discussion
	6 Conclusion
	References
DFM: Deep Fusion Model for COVID-19 Vaccine Sentiment Analysis
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Data and Pre-processing
		3.2 Methodology
	4 Experiment Evaluation, Results, and Discussion
	5 Conclusion
	References
Driver Assistance System for Recognition of Brake and Parking Signal
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Details of Dataset
		3.2 Design and Implementation of System
	4 Results and Discussion
	5 Conclusion
	References
DEEC-Based Meta-heuristic Unequal Clustering Scheme for Energy Sustenance of Heterogeneous Nodes in WSN
	1 Introduction
	2 Related Works
	3 Clustering of Heterogeneous Nodes with Bat Algorithm (CHNBA)
		3.1 Preliminaries and Base Concepts
		3.2 The Protocol—CHNBA
	4 Results and Discussions
	5 Conclusion
	References
Grid-Based Pathfinding Using Ant Colony Optimization Algorithm
	1 Introduction
	2 Literature Survey
	3 Experimental Setup
		3.1 Pathfinding in a 2D Grid
		3.2 Graph Representation of 2D Grid
	4 Proposed Method
		4.1 Initialization
		4.2 Deciding Next Node
		4.3 Updating Pheromone
	5 Result
		5.1 Time Complexity Analysis
	6 Conclusion
	References
Improving Classification-Based Log Analysis Using Vectorization Techniques
	1 Introduction
	2 Related Work
	3 Design of Log Analysis System
		3.1 System Overview
		3.2 Data Acquisition
		3.3 Data Preprocessing
		3.4 Feature Extraction
		3.5 Word Embedding Techniques
		3.6 Log Analysis Using Machine Learning Model
	4 Results and Interpretation
		4.1 Evaluation Metrics
		4.2 Experimental Results
	5 Conclusion
	References
Deployment and Serving ML Models Using Kubeflow and KfServing
	1 Introduction
	2 Literature Review
	3 Machine Learning Models
		3.1 LSTM Model
		3.2 Prophet Model
	4 Methodology
	5 Implementation
	6 Results and Discussion
	7 Conclusion and Future Work
	References
Lung Cancer Classification Using Cross Stage Partial Network: A New Enhanced Learning Capability of CNN
	1 Introduction
	2 Related Works
	3 Method
		3.1 Basic Methodology
		3.2 CASPNet-Partial Network with Cross Stage
	4 Results
	5 Conclusion
	References
Emoji Creation from Facial Expression Detection Using CNN
	1 Introduction
	2 Prior Work
	3 Proposed Work
	4 Modules
		4.1 Facial Expression Identification
	5 Results
	6 Conclusion
	7 Future Scope
	References
IoT-Based Telemedicine Health Monitoring System with a Fuzzy Inference-Based Medical Decision Support Module for Clinical Risk Evaluation
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 System Block Diagram
		3.2 IoT-Based Telemedicine Health Monitoring System (THMS) with Physiological Data Assessment and Clinical Health Risk Detection
		3.3 Fuzzy Inference-Based Medical Decision Support System (FI-MDSS) for Clinical Risk Evaluation
	4 Results and Discussions
		4.1 Experimental Results of the IoT-Based THMS with EWS Function
		4.2 Experimental Results of the FI-MDSS for Clinical Risk Evaluation
	5 Conclusion
	References
HDMFRTDB: Design of a High-Efficiency Deep Learning Classification Model for Fruit Ripeness-Type Differentiation Via Bioinspired Optimization
	1 Introduction
	2 Literature Review
	3 Design of the Proposed High-Efficiency Deep Learning Classification Model for Fruit Ripeness-Type Differentiation Via Bioinspired Optimization
		3.1 Design of CLAHE Model for Image Enhancement
		3.2 Design of Bioinspired Model for Final Detection of Fruit Ripening Levels
	4 Statistical Analysis and Comparison
	5 Analysis of Results
	6 Conclusion and Future Work
	References
Emotion-Based Music Recommendation System to Generate a Dynamic Playlist
	1 Introduction
	2 Dataset
	3 Literature Survey
	4 Proposed System
	5 System Architecture
	6 Methodology
		6.1 Capturing Face
		6.2 Face Detection
		6.3 Classified Emotion
		6.4 Music Recommendation System
	7 Experimental Results
		7.1 Results
		7.2 Results Analysis
	8 Future Work
	9 Conclusion
	References
A Computer Vision Method for Detecting the Lanes and Finding the Direction of Traveling the Vehicle
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Algorithm for Proposed System
	4 Results
		4.1 Accuracy
		4.2 Precision
		4.3 False Positive Rate
		4.4 Range
	5 Conclusion
	References
Ensembled Machine Learning Techniques for DDoS Detection in SDN
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Feature Extraction from the Flows Collected
		3.2 Classification
	4 Experimental Setup
		4.1 Dataset Generation
		4.2 Classification
	5 Results and Analysis
		5.1 Result Analysis with Generated Dataset
		5.2 Result Analysis with ``DDoS Attack SDN Dataset\'\'
	6 Conclusion and Future Work
	References
Classification of Cotton Leaf Diseases Using Transfer Learning-DenseNet-121
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Proposed Model
	5 Results and Discussion
	6 Conclusion
	7 Future Scope
	References
Student Interaction on Moodle for a Foundation Course at a Tertiary Institute in Fiji
	1 Introduction
	2 Methodology
	3 Dimensions of Flexibility
		3.1 Learner—Content Interaction
		3.2 Learner—Teacher Interaction
		3.3 Learner—Learner Interaction
		3.4 Learner Interaction with the Learning Environment
		3.5 Learner Interaction with Assessment Activities
		3.6 Learner Interaction with Feedback
		3.7 Learner Interaction with Institution
		3.8 Summary of Findings
	4 Discussion
	5 Conclusion
	References
A Privacy-Oriented Neural Collaborative Filtering-Based Framework  for Recommender System
	1 Introduction
	2 Related Work
		2.1 Privacy in Recommendation System
		2.2 Differential Privacy in Recommendation System
	3 Preliminaries
	4 Dataset and Baselines
		4.1 Dataset
		4.2 Input and Embeddings
		4.3 Baselines
	5 Result and Discussion
		5.1 Parameter Settings
		5.2 Performance Comparison
		5.3 Time Comparison
		5.4 RDP Comparison
	6 Conclusion
	References
BERT-Based Approach for Suicide and Depression Identification
	1 Introduction
	2 Dataset
		2.1 Data Collection
		2.2 Data Set Analysis
	3 Proposed Architecture
		3.1 Data Collection
		3.2 Preprocessing
		3.3 Representation of Text
		3.4 Classifier Models
	4 Methodology
	5 Result and Discussion
	6 Conclusion
	References
MG-Net: Multiple Person and Gadget Detection for Online Exam Proctoring System
	1 Introduction
	2 Literature Survey
		2.1 Object Detection
		2.2 YOLO
		2.3 YOLOV2
		2.4 YOLOV3
	3 Proposed System
	4 Experimental Results
	5 Conclusion
	References
Customer Segmentation Using K-Means Clustering
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 K-Means Clustering
		3.2 Algorithm
	4 Results
	5 Conclusion
	References
Automated Gesture Recognition and Speech Conversion Tool for Speech Impaired
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 CNN Architecture
	4 Implementation
		4.1 Data Acquisition and Preprocessing
		4.2 Training the Model
	5 Results
	6 Conclusion and Future Work
	References
Development of Wearable and Portable Cardiac Arrest Prediction System
	1 Introduction
		1.1 Motivation
		1.2 Major Contribution
	2 Literature Review
	3 Methodology and Implementation
		3.1 Designing of Data Transaction and Storing  for ECG Module
		3.2 Designing the Data Visualization Process
		3.3 Collecting ECG Information and Design of a Sustainable Monitoring System
	4 Real Time Data Acquisition
	5 Conclusion
	References
Political Optimizer-Based Automated Machine Learning for Skin Lesion Data
	1 Introduction
	2 Literature Review
	3 Automated Machine Learning for Skin Lesion Data
		3.1 Modeling Political Optimizer for Hyperparameter Tuning
		3.2 Proposed Methodology for Automated Machine Learning
	4 Experimental Results and Evaluation
	5 Conclusions
	References
Tree Cutting Sound Detection Using Deep Learning Techniques Based on Mel Spectrogram and MFCC Features
	1 Introduction
	2 Literature Survey
	3 Data Set
	4 Proposed Model
		4.1 Preprocessing
		4.2 Feature Extraction
		4.3 Method
	5 Results and Analysis
	6 Conclusion
	References
Vision-Based System for Detection of Petrol Pump and Charging Station
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Dataset Description
		3.2 Design and Implementation of the System
	4 Results and Discussion
	5 Conclusion
	References
Emotion Analysis Using Convolutional Neural Network
	1 Introduction
	2 Relevant Study
	3 Proposed Method
	4 Experimental Results
	5 Conclusion and Future Work
	References
KNOw PCOS
	1 Introduction
		1.1 Symptoms and Signs
		1.2 PCOS Complications
		1.3 Brief History and Statistics of PCOS
	2 Literature Survey
		2.1 An Automated Detection of PCOS Using Follicle Recognition (Deshpande and Wakankar 2014)
		2.2 Classification of the PCOS from the Ultrasound Images Using Machine Learning Algorithms (Gopalakrishnan and Iyapparaja 2021)
		2.3 Classification of PCOS with Ultrasound Images and Machine Learning Algorithms (Purnama et al. 2015)
		2.4 Dr. Zio Health Fitness (https://play.google.com/store/apps/details?id=drzio.pcos.exercise.dietplan.forweightloss.pcod.cure.yoga)
		2.5 Femcare Reverse PCOS Consult Doctor Online (https://play.google.com/store/apps/details?id=in.co.femcare)
		2.6 JGutke Designs (https://play.google.com/store/apps/details?id=com.le0fdf8af265.app)
		2.7 MyAva Application (https://play.google.com/store/apps/details?id=in.myava.app)
	3 About Dataset
		3.1 Clinical Dataset
		3.2 Ultrasound Images’ Dataset
	4 Design Methodology
		4.1 Mobile Application
		4.2 Prediction of PCOS Using Clinical Parameters with Random Forest Classifier
		4.3 Prediction of PCOS Using Ultrasound Scans with CNN
	5 Results and Discussions
	6 Conclusion
	References
Factors Affecting Interaction on Moodle: An Empirical Study Based on TAM
	1 Introduction
	2 Methodology
	3 Technology Acceptance Model (TAM)
		3.1 Perceived Usefulness (U)
		3.2 Perceived Ease of Use (E)
		3.3 Attitude Toward Using (A)
		3.4 Behavioral Intention to Use (BI)
	4 Factors Affecting Student Interaction on Moodle
		4.1 Factors that Increased Student Interaction on Moodle
		4.2 Factors that Decreased Student Interaction on Moodle
	5 Factors Affecting Student Interaction on Moodle and TAM
		5.1 Perceived Usefulness (U)
		5.2 Perceived Ease of Use (E)
		5.3 Attitude Toward Using (A)
		5.4 Behavioral Intention to Use (BI)
	6 Discussion
	7 Conclusion
	References
Metacart—Decentralized Social Media Marketplace to Incentivize Creators and Ensure User Data Privacy
	1 Introduction
	2 Literature Survey
	3 Architectural Design
	4 Implementation
		4.1 Smart Contracts and IPFS
		4.2 Database
		4.3 Dynamic Pricing Algorithm
		4.4 Revenue Model
	5 Evaluation
	6 Limitations
	7 Conclusion
	8 Future Work
	References
High-Speed Low Area 2D FIR Filter Using Vedic Multiplier
	1 Introduction
	2 Literature Survey
	3 2D FIR Filter Formulae
	4 Vedic Multiplier Using Urdhva Tiryakbhyam Sutra
	5 Proposed VM Using Predictor and Reusable
	6 VM Using Reusable Logic Gate
	7 Result Analysis
	8 Conclusion
	References
Classification of Cotton Weeds in the Cotton Farms Using Deep Transfer Learning Techniques
	1 Introduction
	2 Related Work
	3 Materials and Methods
		3.1 Weed Leaf Image Acquisition
		3.2 Weed Leaf Segmentation
		3.3 Weed Leaf Classification
	4 Results and Discussions
	5 Conclusion
	References
Beam Pattern Configuration Control Unit for a 24 × 24 Reconfigurable Array of Photo Detector-Based Pixels
	1 Introduction
		1.1 Literature Review
	2 Techniques and Methodology
	3 Result Analysis
	4 Conclusion
	References
Analysis of Clustering Algorithms for Facility Location Allocation Problems
	1 Introduction
	2 Clustering Algorithms
		2.1 Possibilistic C-Means (PCM) Clustering
		2.2 Fuzzy Possibilistic C-Means (FPCM) Clustering
	3 Park Allocation Illustration
		3.1 Comparison of Results
	4 Conclusion
	References
Biometric-Based Key Handling Using Speeded Up Robust Features
	1 Introduction
	2 Contribution
	3 Proposed Work
	4 Experimental Results and Discussion
	5 Conclusion
	References
Magnitude-Based Weight-Pruned Automated Convolutional Neural Network to Detect and Classify the Plant Disease
	1 Introduction
	2 Related Work
	3 Deep CNN Model for Plant Disease Prediction
	4 Data Curation
	5 Deep Neuronal Model for Plant Disease Classification
		5.1 Feature Extraction Using Convolution Function
		5.2 Subsampling Using Max Pooling
		5.3 Fully Connected Layers
		5.4 Optimization of the Proposed CNN Model Using Dropout
		5.5 Plant Disease Classification
	6 Magnitude-Based Weight-Pruned CNN Model
	7 Hyperparameter Optimization
	8 Results and Discussion
	9 Conclusion
	References
Understanding the Insights of Privacy Policies Using BERT
	1 Introduction
	2 Related Works
	3 Proposed Methodology
		3.1 Dataset
		3.2 Methodology Used
		3.3 Training the Model
	4 Result Analysis
	5 Error Analysis
	6 Conclusion
	References
Classification of Family Domain of Amino Acid Sequences Using CNN-LSTM
	1 Introduction
	2 Related Work
	3 Model for Classification of Family Domain of Amino Acid Sequences
	4 Results and Discussion
	5 Conclusion
	References
A Performance Evaluation of Situational-Based Fuzzy Linear Programming Problem for Job Assessment
	1 Introduction
	2 Literature Review
	3 Assumptions
	4 Mathematical Example
	5 Conclusion
	References
Breast Cancer Detection Using Deep Learning Model
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Experiments
	5 Conclusion
	References
A Survey on Automatic Text Summarisation
	1 Introduction
	2 Literature Review
		2.1 Text Summarisation Approaches in Telugu Language
		2.2 Text Summarisation Approaches in Other Language
	3 Conclusion
	References
The Adaptive Strategies Improving Design in Internet of Things
	1 Introduction
	2 Problem Statement
	3 Proposed Work
	4 Conclusion
	References