Advances in IoT and Security with Computational Intelligence: Proceedings of ICAISA 2023, Volume 1 (Lecture Notes in Networks and Systems, 755)

Preface
Contents
Editors and Contributors
An Automatic Decision Support System for Assessing SDG Contributions
	1 Introduction
	2 NLP Machine Learning Scheme
		2.1 NLP/Text Mining Dataset
		2.2 NLP Feature Extraction and Machine Learning Model Building
		2.3 Evaluation Metrics
	3 Experimental Results
	4 Conclusions and Further Plan
	References
Removing Stegomalware from Digital Image Files
	1 Introduction
	2 Related Work
	3 Tool Proposed
	4 Encoding Scheme
	5 Experiment
	6 Result
	7 Analysis
	8 Conclusion
	References
Entropic Analysis of Reservation Policy of Government of India
	1 Introduction
	2 The Need for a Policy of Reservation
	3 The Mathematical Model
	4 Illustrative Example
	5 Conclusion and Solution
	6 Appendix
	References
Cybersecurity in the Supply Chain and Logistics Industry: A Concept-Centric Review
	1 Introduction
	2 Adopted Research Approach
	3 The Outcome and Discussion
	4 Open Issues and Future Research
	5 Conclusion
	References
Machine Learning Methodology for the Recognition of Unsolicited Mail Communications
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Experiment and Results
	5 Evaluation
	6 Discussion
	7 Conclusion
	References
IoT-Based Automated Hydroponic Cultivation System: A Step Toward Smart Agriculture for Sustainable Environment
	1 Introduction
		1.1 Methods of Hydroponics
	2 Related Work
	3 Materials and Method
		3.1 ESP 8266 Node MCU
		3.2 Dht 11
		3.3 PH Sensor
		3.4 TDS Meter
	4 Results
	5 Conclusion
	6 Future Scope
	References
GCD Thresholding Function Applied on an Image with Global Thresholding
	1 Introduction
	2 Implementation Challenges
	3 Implementations
		3.1 Algorithm 1
		3.2 Algorithm 2
		3.3 Algorithm 3
	4 Results
	5 Discussions
	6 Conclusion
	References
Image Semantic Segmentation: Scene-Aware System for Autonomous Vehicle
	1 Introduction
	2 Scene-Aware System
	3 Review of Literature
	4 Proposed Methodology
	5 Dataset and Evaluation Metrics
	6 Result
	7 Graphs and Analysis
	8 Conclusion
	References
Estimation of Reliability in Multicomponent Stress–Strength Model for Generalized Half-Logistic Distribution
	1 Introduction
	2 ML Estimation of Rs,k
	3 Bayesian Estimation of Rs,k
		3.1 Lindley\'s Approximation
		3.2 MCMC Method
	4 Simulation Study and Real Data Analysis
	5 Conclusion
	References
PNA-DCN: A Deep Convolution Network to Detect the Pneumonia Disease
	1 Introduction
	2 Related Works
	3 Proposed Research Methodology
		3.1 Methodology
		3.2 Dataset Used
		3.3 Performance Metrics
	4 Results
	5 Conclusion and Future Scope of the Study
	References
Performance Analysis of Selection and Migration for Virtual Machines in Cloud Computing
	1 Introduction
		1.1 Virtualization
		1.2 CloudSim
		1.3 VM Allocation and Selection
		1.4 Workload
	2 Related Work
	3 Result and Analysis
		3.1 Power Consumption
		3.2 VM Migrations
		3.3 SLA Violation
		3.4 Number of Host Shutdown
		3.5 SLA Time Per Active Host
		3.6 Average SLA Violation
	4 Conclusion and Future Scope
	References
A Multi-objective Path–Planning Based on Firefly Algorithm for Mobile Robots
	1 Introduction
	2 Multi-objective Path-Planning
	3 Multi-objective Firefly Algorithm
		3.1 Path Length
		3.2 Path Smoothness
		3.3 Path-Safety
	4 Simulation Results
	5 Conclusion
	References
Detection of Alzheimer Disease Using MRI Images and Deep Networks—A Review
	1 Introduction
	2 Methodology
	3 Imaging Techniques, Datasets, and Models
		3.1 Brain Imaging Techniques
		3.2 Datasets
		3.3 Prediction Models
		3.4 Model Evaluation
	4 Implementation and Reproducibility
	5 Conclusion and Discussion
	References
Skin Disease Classification and Detection by Deep Learning and Machine Learning Approaches
	1 Introduction
		1.1 Skin Disease
		1.2 Frequent Forms of Skin Disorders
	2 Deep Learning Skin Disease Diagnosis
		2.1 Data Pre-processing and Augmentation
		2.2 Skin Lesions Segmentation
		2.3 Classification of Skin Conditions
	3 Conclusion
	References
Symmetric Secret Key-Based Quantum Key and Its Distribution Over the Networks
	1 Introduction
	2 Quantum Key Distribution Basics
	3 Motivation and Objective of Current Study
	4 Recent Advancements in QKD
	5 QKD Networks Architecture
	6 Future Direction for Research
	7 Conclusion
	References
Thermal Management System of Battery Using Nano-coolant
	1 Introduction
	2 Battery Design
	3 Cooling Methods
	4 Results and Discussion
	5 Conclusions
	References
Opinion Mining on Ukraine–Russian War Using VADER
	1 Introduction
	2 Overview of the Data
	3 Literature Review
	4 Method
		4.1 Vader
		4.2 DistilBERT, A Distilled Version of BERT
		4.3 Naïve Bayes Algorithm/Classifier
	5 Results
	6 Conclusion
	References
Gait Recognition Using Activities of Daily Livings and Ensemble Learning Models
	1 Introduction
	2 Literature Survey
	3 Proposed Model
		3.1 Data Collection
		3.2 Data Pre-processing
		3.3 Model Training and Testing
	4 Experimental Results
		4.1 Analysis of Shallow Learning Algorithms
		4.2 Analysis of Shallow Learning Algorithms
	5 Conclusion and Future Works
	References
A Conceptual Prototype for Transparent and Traceable Supply Chain Using Blockchain
	1 Introduction
	2 Application of Blockchain Technology in Supply Chain Management
		2.1 Present Uses
	3 Methodology
		3.1 Research Direction
		3.2 Conceptual Framework
	4 Future Scope
	5 Conclusion
	References
Fresh and Rotten Fruit Detection Using Deep CNN and MobileNetV2
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Preprocessing and Augmentation of Data
		3.2 Proposed Architecture Based on Convolution Neural Network (CNN)
		3.3 MobileNetV2 Architecture
		3.4 Performance Evaluation Through Matrices
	4 Experimental Result Analysis
	5 Conclusion
	References
IoT-Based Smart Drainage System
	1 Introduction
	2 Research Methodology
	3 Results and Discussion
	4 Conclusion
	References
Evaluation of an Enhanced Secure Quantum Communication Approach
	1 Introduction
	2 Quantum Cryptography
	3 Quantum Key Distribution
	4 Principle Used for Secure Quantum Communication
	5 Proposed Methodology
	6 QKD and User Authentication Process Result and Discussion
	7 Result and Discussion
	8 Challenges
	9 Conclusion
	References
An Intelligent COVID Management System for Pre-schools
	1 Introduction
	2 Related Work
	3 Research Methodology
		3.1 Data Collection and Pre-processing
		3.2 Training the CNN Model
		3.3 Face and Mask Detection
		3.4 Distance Measurement System
		3.5 Preliminary Results
		3.6 Implementation
	4 Results and Discussion
	5 Case Study
	6 Conclusion
	References
An Insight to Features Selection using ACO Algorithm
	1 Introduction
	2 Related Work
	3 Feature Selection Methods
	4 Proposed Methodology Using Ant Colony Algorithm
		4.1 Graphical and Mathematical Representation
		4.2 Proposed ACO-Based Feature Selection Algorithm
	5 Conclusion
	6 Future Work
	References
Analysis and Prediction of Sea Ice Extent Using Statistical and Deep Learning Approach
	1 Introduction
		1.1 Logistic Model Theory
		1.2 Recurrent Neural Networks
	2 Related Work
	3 Proposed System
		3.1 Datasets
		3.2 A Framework Description
		3.3 Tech Stack
	4 Results and Analysis
		4.1 RNN-Based Regression and Prediction
		4.2 Logistic-Based Regression and Prediction
	5 Conclusion
	References
Advancements in e-Governance Initiatives: Digitalizing Healthcare in India
	1 Introduction
	2 Literature Review
	3 Key Themes
	4 Discussion
		4.1 Effectiveness of Using Contact Tracing Applications
		4.2 Initiatives Taken by the Government of India
		4.3 Persistent Challenges Present in e-Governance of Health Care
	5 Conclusion
	References
Mobile Application for Leaf Disease Classification
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Data Pre-processing
		3.3 Architecture
		3.4 Model and Integration
		3.5 Training and Predicting
		3.6 Activation Function
	4 Results and Discussion
	5 Summary of Model
		5.1 Testing the Dataset
		5.2 Android Application
	6 Conclusion and Future Enhancement
	References
An Energy-Saving Approach for Routing in Wireless Sensor Networks with ML-Based Faulty Node Detection
	1 Introduction
	2 Economic Routing in WSN
		2.1 Classification of Routing Methods
		2.2 Node Positioning
		2.3 Node Positioning in Two-Tiered Grid Environment
		2.4 Group Architecture
	3 Economic Graded Path Guiding with Error Detection Using Machine Learning
		3.1 Economic Graded Routing
		3.2 Unsupervised Learning
	4 Differentiation of LEACH and EcoSEP Methods
		4.1 Short Energy Flexible Grouping Graded Technique
		4.2 Short Energy Flexible Graded-Centralized Method
		4.3 Stable Election Protocol (SEP)
		4.4 Fault Detection Model
		4.5 Data Model
		4.6 Status Estimation and Faulty Node Detection Algorithm
	5 Experimental Results
	6 Power Harvesting Cordless Sensor Net Field (PH-WSN)
	7 Concluding Remarks
	References
Risk Prediction in Life Insurance Industry Using Machine Learning Techniques—A Review
	1 Introduction
		1.1 Relevant Use of Machine Learning in Life Insurance Business
		1.2 Predictive Modeling and Its Related Features
	2 Related Work
	3 Scope of Deep Learning and GIS
	4 Conclusion
	References
BioBERT-Based Model for COVID-Related Named Entity Recognition
	1 Introduction
	2 Background
		2.1 BioBERT
		2.2 Pre-training BioBERT
	3 Proposed Model
		3.1 Dataset Description
		3.2 Framework of the Proposed Model
		3.3 Fine-Tuning
	4 Results and Discussions
		4.1 Evaluation and Metric
		4.2 Result
	5 Conclusion
	References
Detecting Object Defects for Quality Assurance in Manufacturing
	1 Introduction
	2 Literature Review
		2.1 Defect Detection in Objects
		2.2 Applications of Automatic Defect Detection
	3 Methodology for Defect Identification
		3.1 OpenCV Tools
		3.2 Python Library NUMPY
		3.3 Implementation of the YOLO Algorithm
	4 Methodology for Defect Identification
		4.1 Dataset for Training
		4.2 Training and Validation of Identification of Objects
		4.3 Detection and Identification of Defects
	5 Conclusion
	References
Model Explainability for Masked Face Recognition
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Local Interpretable Model-Agnostic Explanations (LIME)
		3.2 LIME for Images
		3.3 Vanilla CNN
	4 Methodology
		4.1 Process of Explainability
	5 Experiments and Results
	6 Discussion
	7 Conclusion and Future Work
	References
A Research Agenda Towards Culturally Aware Information Systems
	1 Introduction
	2 Cultural Models
	3 Previous Usages (of Culture) and Probable Usecases
		3.1 Policy Making
		3.2 Decision-Making
		3.3 User Interface
		3.4 Teaching
		3.5 Business
	4 Language and Culture
		4.1 A Business Expansion Usecase
		4.2 A Legal Usecase
	5 Discussion and Future Plans
	6 Conclusion
	References
Convolutional Neural Network-Based Quality of Fruit Detection System Using Texture and Shape Analysis
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Experimental Results
		4.1 Raspberry Pi 3
		4.2 Proximity Sensor
		4.3 Gas Sensor
		4.4 Dataset
	5 Conclusion and Future Scope
	References
A Hybrid Approach for Spontaneous Emotion Recognition in Valence–Arousal Space
	1 Introduction
	2 Related Work
	3 Materials and Methods
		3.1 ResNet Architecture
		3.2 Extreme Gradient Boosting
	4 Proposed Model
		4.1 Dataset
		4.2 Proposed Methodology
	5 Experiments and Results
	6 Conclusion and Future Scope
	References
Author Index