Deep Sciences for Computing and Communications

Name: Deep Sciences for Computing and Communications | Second International Conference, IconDeepCom 2023, Chennai, India, April 20-22, 2023, Proceedings, Part II
Brand: Springer
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Second International Conference, IconDeepCom 2023, Chennai, India, April 20-22, 2023, Proceedings, Part II

Annie Uthra R.Kottilingam Kottursamy Gunasekaran Raja Ali Kashif Bashir Utku Kose Revathi Appavoo Vimaladevi Madhivanan(Editor)

Springer (Publisher)

Published on 28. September 2024

XIX, 518 pages

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978-3-031-68908-6 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Optimized Wireless Sensor Network Protocols
Design of Self-organized Wireless Sensor Network Using Adaptive Scalable Nodes
1 Introduction
1.1 Background Study
1.2 Drawbacks in Existing Systems
2 System Design
2.1 Various Types of Network Faults
3 Methodology
3.1 Node Creation and Deployment
3.2 Nodes Sorting
3.3 Adaptive Node Scaling
3.4 SOMP Model
4 Results and Discussion
5 Conclusion
References
Effective Routing Protocol to Increase the Lifespan of the Wireless Sensor Networks
1 Introduction
1.1 Background
1.2 Problem Statement
1.3 Challenges
1.4 Motivation
1.5 Contribution of Authors
2 Literature Review
2.1 Hierarchical Routing Protocol (HRP)
2.2 Clustering
2.3 LEACH Protocol
3 Proposed Methodology
3.1 APTEEN Algorithm Steps
4 Results and Discussion
5 Conclusion
References
An Energy Optimization Clustering Methods for Homogeneous Networks of Wireless Sensors
1 Introduction
2 Parameters and the System Model
2.1 Cluster Head Selection
2.2 Residual Energy LEACH (RES-EL)
2.3 Energy Efficient LEACH (EEL)
2.4 Improved Residual Energy LEACH (IMP-RES-EL)
3 Implementation and Results
3.1 Comparison Between LEACH, DIS-RES-EL, RES-EL, EEL, IMP-RES-EL
4 Conclusions
References
Cluster-Based Routing Protocol Influenced by the Swarm Genetic Algorithm for Efficient Energy Management in Wireless Sensor Networks
1 Introduction
2 Related Works
3 The Methodology
3.1 Network Model
3.2 DCL-ABC
3.3 SG-Cluster-RP Routing
4 Performance Evaluation
4.1 Dataset
5 Conclusion
References
LoRa Based Wireless Sensor Network for Environmental Monitoring
1 Introduction
2 Literature Survey
3 Wireless Sensor Networks
3.1 Architecture of WSN
4 LoRa
4.1 LoRa Modulation
4.2 LoRa Data Packet
5 System Overview
6 Sensor Nodes
6.1 Type 1 Node
6.2 Type 2 Node
6.3 Type 3 Node
6.4 Type 4 Node
6.5 Type 5 Node
6.6 Algorithm
7 LoRo Gateway
8 Server
8.1 Webserver
8.2 Mongo DB
8.3 Cron Jobs
9 Result
9.1 Type 1 Node
9.2 Type 2 Node
9.3 Type 3 Node
9.4 Type 4 Node
9.5 Type 5 Node
10 Conclusion
References
A Scalable Distributed Computation Framework for Tackling Underutilization and Ad-Hoc Computations in Heterogenous Clusters
1 Introduction
2 Literature Survey
3 Proposed Distributed Computing Framework
3.1 Cluster Setup and Job Submission
3.2 Communication and Coordination for Job Execution
3.3 Distributed Parallelism
3.4 Job Resilience and Resumability Safeguards
4 Results and Discussion
4.1 Result Analysis
4.2 Discussion
5 Conclusion
References
Cryptography Applications for Enhanced Security
Quantum Cryptography - The Future of Secure Communication Using Quantum Key Distribution (QKD) Protocols
1 Introduction
2 Related Work
2.1 Unconditional Security
2.2 Key Distribution and High-Speed Communication
3 Quantum Cryptography
3.1 Polarization of Photons
3.2 Qubits and Quantum States
3.3 Quantum Mechanics
3.4 Notations
4 Methodology
4.1 The BB84 Protocol
4.2 B92 Protocol
4.3 SARG04 Protocol
4.4 Six-State Protocol
5 Output
6 Conclusion
References
Analysis of Various Motion Detection and Facial Recognition Based Home Security Systems
1 Introduction
2 Literature Survey
2.1 Haar Cascade Classifier
2.2 Supported Vector Machine (SVM) Classifier
2.3 Convolution Neural Networks (CNN) Classifier
2.4 Deep CNN Classifier
2.5 Motion Detection Using PIR Sensor
2.6 Bidirectional Long-Short Term Memory
2.7 YOLO Algorithm with VGG16 CNN Model
3 Comparative Study
4 Conclusions
References
Intrusion Detection for Cyber Physical Systems Using Light Gradient Boost Model
1 Introduction
1.1 Various Benefits of IDS
1.2 Challenges in IDS
2 Background Study
3 System Design
3.1 CIC IDS 2018 Dataset
4 Methodology
4.1 System Architecture
4.2 Light Gradient Boost Model (LGBM)
4.3 Algorithm
5 Results and Discussions
6 Conclusion
References
Secure Access with Audio Signature Authentication Using Audio Point Positioning Technique
1 Introduction
2 Existing System
2.1 Interface Design
2.2 Registration and Log-In Interface
2.3 Methodology
3 Limitations
4 Proposed System
4.1 Advantages of Proposed System
4.2 Methodology
5 Module Description of the Model
5.1 Pointing the Running Positioning
5.2 Password Generation
5.3 Password Embedding
5.4 Authentication
6 Literature Survey
7 Analysis and Result
7.1 Comparison with the Existing System
8 Output Screenshots
8.1 Login Page
8.2 Facebook Page
9 Conclusion
10 Future Enhancement
References
Detection of False Replication of Digital Copy Using Hog and SVM Classification
1 Introduction
2 Literature Survey
3 Methodology
3.1 Image Dataset and Gray Scale Conversion
3.2 Preprocessing Using Histogram of Gradients
3.3 Discrete Wavelet Transform (DWT)
4 Analysis and Results
5 Conclusion
References
Crime Intention Detection Using Ontology in Social Media Platforms
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Dataset
3.2 Framework Description
3.3 Ontology-Based Gradient Descent Optimized AdaBoost Algorithm (OGDOAA)
4 Result and Discussion
5 Conclusion
References
Implications of Networking on Society
Efficient Route Planner for Multi-destination Deliveries
1 Introduction
1.1 Objective
1.2 Motivation
1.3 Relevance of the Project
1.4 Design Methodology
1.5 Abridgement
2 Related Works
3 Existing and Proposed
3.1 Existing System
3.2 Proposed System
4 Result
5 Conclusion
6 Future Enhancement
References
Logical Based Enhanced Estimation Algorithm for a Nonlinear Process
1 Introduction
2 Data Driven Model
3 Controller Design
3.1 GA Based PI Controller
3.2 Logic Based Enhanced Estimation Algorithm (LEEA)
4 Results and Comparison
4.1 GA Based PI Controller
4.2 Servo and Regulatory Response
5 Conclusion
References
Ambulance Optimal Path Detection Using Folium and Polygonal Path Finding
1 Introduction
2 Literature Review
3 Result Obtained
4 Conclusion
References
General Position Problem of Butterfly Derived Architectures
1 Introduction
2 Literature Survey
3 Augmented Butterfly Network
4 Enhanced Butterfly Network
5 Conclusion
References
Fusion of Plant Care-Kit Using Remote Technology with Android Application
1 Introduction
2 Detailed Study
3 Proposed System
4 Conclusion
5 Future Scope
References
Deep Learning Model for Health informatics
Detection of COVID-19 from CT Scan Images Using Convolution Neural Network
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Augmentation
3.2 Preprocessing
3.3 Analyzing the Data
3.4 Algorithm
3.5 Visualization and Prediction
4 Results and Discussion
5 Conclusion and Future Enhancement
References
Artificial Intelligence-Assisted Breast Cancer Detection Through Tumor Density Estimation from Histopathological Images
1 Introduction
2 Literature Review
3 Methodology
3.1 Finding Tumour Density
3.2 Prepare Data in Batches
3.3 Data Pre-processing
3.4 Building the Model
3.5 Testing the Model
4 Development
4.1 Experiment 1: ResNet 50 with All Layers Trainable
4.2 Experiment 2: ResNet 50 with Only the 5th Layer Trainable
4.3 Experiment 3: ResNet 50 with the 4th and 5th Layers Trainable
4.4 Experiment 4: ResNet 101 with All Layers Trainable
4.5 Experiment 5: ResNet 101 with Only the 5th Layer Trainable
4.6 Experiment 6: ResNet 101 with the 4th and 5th Layers Trainable
4.7 Experiment 7: ResNet 152 with All Layers Trainable
4.8 Experiment 8: ResNet 152 with Only the 5th Layer Trainable
4.9 Experiment 9: ResNet 152 with the 4th and 5th Layers Trainable
5 Experiment Summary
6 Comparative Error Analysis for Resnet50, Resnet101 Resnet152
7 Hyperparameter Optimization
7.1 Learning Rate Search
7.2 Increasing Training Size
8 Conclusion
9 Future Direction
References
Multi-class Brain Tumour Classification Using Optimized ResNet50
1 Introduction
1.1 Detection of Tumours
1.2 Need for Optimisation
1.3 Existing Models
2 Datasets
2.1 Brain Tumour Classification (MRI) Dataset by Sartaj on Kaggle
2.2 BraTS 2015
2.3 Brain Tumour Dataset by Jun Cheng on Figshare
3 Proposed Approach
3.1 Optimisation
4 Experiments and Results
5 Conclusion and Future Work
References
Predicting Heart Disease Using Gaussian Confidence Distance Algorithm with Extra Tree Classifier
1 Introduction
2 State of the Art of Work
2.1 General Workflow of the Model
2.2 Proposed System Architecture
3 Data Set Cleaning and Splitting
4 Data Visualization
4.1 Experiment Result Analysis
5 Conclusion and Future Scope
References
Sequential Model Using Explainable AI Method to Detect Eye Diseases
1 Introduction
2 Dataset Description
3 Methodology
3.1 Data Preprocessing
3.2 Split Dataset for Training and Testing
3.3 Model Building
3.4 Model Training and Evaluation
4 Explainable AI
4.1 LIME
5 Conclusion
References
A Novel Approach of Disease Diagnostic Prediction Using SMOTE Ensemble Classification
1 Introduction
2 Related Work
3 Proposed System
3.1 Data Pre-processing
3.2 Feature Selection
3.3 Synthetic Minority Oversampling Technique (SMOTE)
3.4 Classification
4 Experimental Analysis
4.1 Dataset Statistics
4.2 Experimental Setup and Evaluation Metrics
4.3 Hyper-Parameter Tuning
4.4 Performance Evaluation
5 Conclusion
References
Ensemble-Based Prediction of Myocardial Ischemia Complications
1 Introduction
2 Related Work
3 Proposed System
3.1 System Objective
3.2 System Description
3.3 System Implementation
3.4 System Testing
4 Conclusion
References
Modeling and Simulation of Virtual Reality Assistive Tool for Children with Autism Spectral Disorder
1 Introduction
2 Literature Survey
3 Methodology
3.1 Process of Game Development
3.2 Experimental Set-Up
3.3 Experimental Procedure
3.4 Training Scenarios
4 Result and Discussion
5 Conclusion
References
CAD of Brain Abnormalities in MRI Images Using Texture Features
1 Introduction
1.1 Tumor
1.2 Classification of Brain Tumor
1.3 Types of Brain Tumor
1.4 Methods for Diagnosing Brain Tumor
2 Related Work
3 Proposed Methodology
3.1 Pre-processing
3.2 Segmentation
3.3 Process Before Feature Extraction
3.4 Feature Extraction
4 Conclusions
References
Web Application for Connected Communities
Integrated Mobile Application Portal for the Convenient Service of Farmers, Street Vendors, Consumers and Logistics
1 Introduction
2 Existing Work
3 Proposed System
4 System Design
5 Methodology
5.1 App 1
5.2 App 2
6 Implementation and Results Screenshots
6.1 APP - 1 - Farmer Portal
6.2 APP - 1 - Consumer Portal
6.3 APP - 1 - Street Vendor Portal
6.4 APP - 2 - LogisticsM Portal
6.5 APP - 2 - LogisticsS Portal
6.6 APP - 2 - LogisticsD Portal
7 Server
8 Conclusion
9 Future Work
References
Plasmabridge: Connecting Blood and Plasma Donors with Hospitals
1 Introduction
2 Literature Review
3 Limitations
4 Proposed System
4.1 Module Description
4.2 Hospital Module:
5 Results
6 Conclusion
References
PoS-Portal of Scholarships
1 Introduction
2 Literature Survey
3 Proposed System
3.1 Provider of Scholarships
3.2 Recipient of the Scholarship
4 System Architecture
4.1 User Interface
4.2 Web Server
4.3 Application Server
4.4 Database
4.5 Scholarship Service
4.6 User Service
4.7 Authentication Service
5 System Functionality
5.1 Registration and Profile Creation
5.2 Scholarship Search
5.3 Details of Each Scholarship
5.4 Application Submission
5.5 Application Tracking
5.6 Scholarship Disbursement
5.7 Reviews and Opinions
6 Commercial Viability
6.1 Enormous Market Potential
6.2 Revenue Streams
6.3 Scalability
6.4 Social Impact
6.5 Competitive Advantage
7 Future Developments
7.1 Mobile Application
7.2 Collaboration with Educational Institutions
7.3 Expansion to Other Countries
7.4 Integration of Skill Development Programs
7.5 Blockchain Integration
8 Conclusion
References
Containment Zone Alert Application
1 Introduction
2 Literature Survey
3 Proposed Model
3.1 Method of Approaching the Issue
3.2 Geo-Fencing
4 Results and Analysis
4.1 User App Functionality and Design
4.2 Admin App Functionality and Design
5 Testing
6 Conclusion and Future Work
References
Shielding Against Web Application Assaults Using Password Guessing Resistant Protocol
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Outsider Attack
3.2 Insider Attack
3.3 Monitoring Network Traffic
3.4 Implementing Coppersmith Winograd Algorithm
4 Results and Discussions
5 Performance Analyis
6 Conclusion
References
PREP UP - Placement Information App
1 Introductıon
2 Existing System
3 Proposed Solutıon
4 Implementation and Working
4.1 I Am a Student
4.2 I Am an Employee
4.3 Proposed Work Architecture
5 Technologies Used
6 Future Work
7 Conclusion
References
Intelligent Insights Using Image Processing
Prediction of Embryo Selection Using Efficient Otsu Segmentation for in- Vitro Fertilization Techinques
1 Introduction
1.1 Related Work
1.2 Procedure in Embryo Selection
2 Dataset Descriptions
2.1 Selection of Attributes
3 Process of Otsu Segmentation
3.1 Color Image to Gray Image
3.2 Image Concatenation
3.3 Histogram Equalization
3.4 Fixing Threshold for Image
3.5 Image Segmentation
3.6 Segmentation on Otsu's Method
3.7 Embryo Evaluation
4 Results
5 Conclusion
References
Content Based Image Retrieval Using Multi-deep Learning Models and K-Nearest Neighbor Approaches
1 Introduction
2 Related Works
3 The Proposed Method
3.1 Multi Deep Learning Models
3.2 Content based Image Retrieval
4 Experiments
4.1 Dataset
4.2 Evaluation
5 Conclusion
References
Change Detection and Budget Estimation of Catastrophic Events Based on Image Processing
1 Introduction
2 Disaster Identification
2.1 Satellite Images
2.2 Bi-temporal Satellite Images
2.3 Deep Learning
3 Change Detection
3.1 AI based Change Detection Methods
3.2 Conventional Based Change Detection Methods
3.3 Deep Learning based Change Detection Methods
3.4 Building Change Detection Methods
4 Work Related to Disaster Identification Using Machine Learning and Deep Learning
5 Disaster Classification
5.1 Change Map Generation
5.2 Change Map Analysis
5.3 Dataset and Pre-processing
6 Testing
7 Results
8 Conclusion
8.1 Project Capability
8.2 Result
8.3 Performance Analysis
8.4 Application
References
Group Analysis in Real Time, Detecting the Emotion of a Person in a Meeting Using Image Processing
1 INTRODUCTION
2 Literature Review
3 Methodology
4 Data Structures and Algorithms Used
4.1 Applications
5 Limitations
6 Conclusion
References
Precision Flood Prediction Models
Flood Relief Land Segmentation Path Mapping Tool Using U-Net Architecture
1 Introduction
1.1 Literature Survey
2 Data Set
3 Proposed Methodology
3.1 Flood Relief Land Segmentation Detection And Optimal Path Finding Using U-Net
3.2 GUI Module for Uploading Images for Analysis
3.3 Image Pre-processing
3.4 Land Cover Segmentation and Classification
3.5 Optimization Technique Applied for U-NET Architecture to Segment out Flooded Land NADAM
3.6 Optimal Path Finding for Flooded Areas
4 Result Analysis
4.1 GUI- Output Model
5 Conclusion
References
Flood Rescue Using Multi-object Motion Tracking
1 Introduction
2 Components
2.1 Open Source Computer Vision Library (open cv)
2.2 Tensor Flow
2.3 NumPy
2.4 Android Studio
2.5 Matplotlib
2.6 YOLO
3 Related Study
4 Real Time Object Detection
5 System Architecture
5.1 Dataset Collection
5.2 Object Detection
5.3 Object Tracking
5.4 Message Alert
6 Evaluation and Results
7 Conclusion
References
Early Detection of Flood for Disaster Management Using Rapid Service Assessment
1 Introduction
2 Related Works
2.1 Flood Surveillance
2.2 Measuring Dam Overflow
2.3 Alerting Notifications
3 Proposed System
4 Basic Components/ Technologies Used
4.1 Temperature and Humidity sensing and monitoring
4.2 BMP180 Sensor
4.3 ESP8266 Micro Controller
4.4 ESP32 Microcontroller
4.5 Ultrasonic Sensor
4.6 GSM and GPS
5 Performance and Analysis
6 Results
7 Conclusion and Future Work
References
Sector-Based Incremental Clustering and Scalable Deletion for Real-Time Big Data Streaming Application
1 Introduction
2 Related Work
3 Proposed Incremental Clustering and Scalable Deletion of Streaming Data
3.1 Sector Based Clustering Algorithm
3.2 Scalable Deletion
4 Implementation of Stock Market Streaming Application
4.1 Ontology Design for Sector Based Clustering
5 Results and Discussion
6 Conclusion
References
Correction to: Deep Sciences for Computing and Communications
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Deep Sciences for Computing and Communications

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