Proceedings of the International Conference on Internet of Everything and Quantum Information Processing

Name: Proceedings of the International Conference on Internet of Everything and Quantum Information Processing
Brand: Springer
Price: 192.59 EUR
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Valentina E. Balas Kolla Bhanu Prakash G. P. Saradhi Varma(Editor)

Springer (Publisher)

1st Edition

Published on 5. September 2024

XXII, 224 pages

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978-3-031-61929-8 (ISBN)

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This book constitutes the Proceedings of the International Conference on Internet of Everything and Quantum Information Processing (IEQIP-2023), held on 24-25 November 2023 in Andhra Pradesh, India. This edition was organized in hybrid mode by the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, and sponsored by the Department of Science and Technology, India.

The Internet of Things (IoT) and Quantum Computing are technological phenomena that are shaping businesses and industries. Moreover, integrating IoT and Quantum Computing solutions evolves ecosystems to offer optimum commercial practices. The emergence of these two phenomena offers revolutionary advancements. Further, Quantum Computing introduces avant-garde encryption algorithms for resilient security solutions in IoT systems. Papers presented at this conference showed how the Internet of Everything (IoE) combines sensing, computation, information extraction, and communication functionalities together in a device. IoE allows different electronic devices with different capabilities to sense the environment and to communicate for data exchange. Further, the challenge now is to identify, monitor, and ensure quality in IoT security. Moreover, there is a significant rise in data and information transfer due to a rise in the number of devices. Hence, there is a requirement for responsive, scalable, analytical, and efficient solutions.

The conference papers included in this book contain topics in the following areas of research:

· Artificial Intelligence

· Quantum Computing

· Internet of Things, Cloud Computing, and Data Science

· Machine learning

· Deep learning

· Image, text, and signal processing

· Disruptive technologies.

This book provides helpful information to professors, researchers, and graduate students in the area of Quantum Computing and IoT, and all find this collection of papers inspiring, informative, and valuable.

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Content

Intro
Preface
Organization
Acknowledgment
Contents
About the Editors
Enhancing Cloud Security and Resource Management: A Comprehensive Review
1 Introduction
2 Data Integrity Verification in the Cloud
3 Integration and Synergy
4 Comparative Analysis
5 Challenges and Future Directions
6 Conclusion
References
A Novel Approach Integrating Autoencoders and ESMOTE-GAN for Credit Card Fraud Detection
1 Introduction
2 Literature Survey
3 Proposed Augmentation Methodology
3.1 Data Set
3.2 Auto Encoder with ESMOTE-GAN
3.3 Random Forest Algorithm
3.4 Support Vector Machine (SVM)
3.5 K-Nearest Neighbours (KNN)
3.6 XG-Boost
4 Results and Analysis
4.1 Overall Performance
5 Conclusion
References
Revolutionizing Agriculture: A Mobile App for Rapid Plant Disease Prediction and Sustainable Food Security
1 Introduction
2 Related Work/Literature Survey
3 Proposed System
4 Technologies Used
4.1 Google Colab
4.2 Android Studio
4.3 Data Set
4.4 Modules
5 Results
6 Scope and Future Use
7 Conclusion
References
EMG Based Human Machine Integration for IoT Based Instruments
1 Introduction
2 Methodology
2.1 Feature Selection
2.2 System Structure
2.3 Signal Acquisition
2.4 MUAPS Using Wavelets
2.5 Feature Extraction
2.6 Experimental Setting
3 Results and Observations
4 Conclusion
References
Medrack: Bridging Trust and Technology for Safer Drug Supply Chain Using Ethereum and IoT
1 Introduction
2 Related Works
3 Proposed System
4 System Implementation
5 Conclusion
References
A Review on Tuberculosis Pattern Detection Based on Various Machine Learning Techniques
1 Introduction
2 Related Work
2.1 Convolutional Based Learning and Support Vector Machine
2.2 Segmentation and Visualization
2.3 Feature Extraction
3 Proposed Solution
4 Proposed Methodology
4.1 Data Acquisition
4.2 Image Preprocessing and Enhancements
4.3 Lung Segmentation
4.4 Image Enhancement Algorithms
5 Result Discussion
6 Conclusion
References
Sensor Based Hand Gesture Identification for Human Machine Interface
1 Introduction
2 Methodology
2.1 Gesture Selection
2.2 System Structure
2.3 Signal Acquisition
2.4 Wavelet-Based Analysis of MUAPs
2.5 Feature Extraction
2.6 Utilizing a Minimum Distance Classifier for Classification
2.7 Experimental Setting
3 Results
4 Conclusion
References
An Improved Detection System Using Genetic Algorithm and Decision Tree
1 Introduction
2 Literature Survey
3 Methodology
4 Discussion
5 Conclusion
References
A Detailed Analysis of Colorectal Polyp Segmentation with U-Network
1 Introduction
2 Related Work
3 The U-Net Architecture
3.1 Encoder Block
3.2 Bottleneck
3.3 Decoder Block
4 Experiments
4.1 Dataset
4.2 Evaluation Method
4.3 Implementation and Hardware Details
5 Results and Discussion
6 Limitation
7 Conclusion
References
A Review on Internet of Things (IoT): Parkinson's Disease Monitoring Device
1 Introduction
2 Demand of Parkinson's Disease Monitoring Devices in World
3 IMU (Inertial Measurement Unit) Sensor
3.1 Directions of IMU (Inertial Measurement Unit) Sensor
4 Keyboard for Hand Tremors
4.1 Directions of Keyboard
5 EMG (Electromyography)
5.1 Directions of EMG (Electromyography)
6 Conclusion
References
Machine Learning-Based Prediction of Temperature Rise in Squirrel Cage Induction Motor (SCIM)
1 Introduction
2 Simulation Data Set of Temperature Rise in SCIM
3 Feature Classification and Extraction of Temperature Rise
4 Results
5 Conclusion
References
Quantum Many-Body Problems: Quantum Machine Learning Applications
1 Introduction
2 Literature Survey
3 Methodology
4 Results and Discussion
5 Conclusion
References
Experimental Study on the Impact of Airborne Dust Deposition on PV Modules Using Internet of Things
1 Introduction
2 Reasons for Dust Implementation
3 Design of an Experimental Setup
4 Result Analysis
5 Conclusion
References
Bidirectional Converter with Time Utilization-Based Tariff Investigation and IoT Monitoring of Charging Parameters Based on G2V and V2G Operations
1 Introduction
2 Proposed System Design
3 Results and Discussion
4 Conclusion
References
Predictive Analysis of Telecom Customer Churn Using Machine Learning Techniques
1 Introduction
2 Literature Review
3 Machine Learning Models
3.1 Support Vector Machine
3.2 Logistic Regression
3.3 XG Boost
3.4 Random Forest
4 Result Analysis
5 Conclusion
References
Baker's Map Based Chaotic Image Encryption in Military Surveillance Systems
1 Introduction
2 Related Work
3 Baker's Map Chaotic Method Based Image Encryption
4 Performance Evaluation
4.1 Key Sensitivity Analysis
4.2 The Coefficients of Correlation
4.3 Peak Signal to Noise Ratio (PSNR)
4.4 Entropy Information
4.5 Analysis of Computation Time
5 Conclusion
References
Cyber Security Investigation of GPS-Spoofing Attack in Military UAV Networks
1 Introduction
1.1 Application of Drone Networks in Military
1.2 Significance of Military Drones
1.3 Objectives
2 Background Study
2.1 Attacks on Military Drones
3 Introduction to GPS and GPS-Spoofing
3.1 Overt Capture
3.2 Covert Capture
4 Security Investigation of UAV Networks
4.1 The Inertial Navigation System for Attack Avoidance
4.2 The Astro-Inertial Reference Systems for Attack Avoidance
4.3 Inertial Reference System Using Software Expertise
4.4 Security Investigation of UAV'S Against Security Principles
5 Conclusion and Future Work
References
IoT Based Enhanced Safety Monitoring System for Underground Coal Mines Using LoRa Technology
1 Introduction
2 Proposed System Workflow
3 Result and Discussion
4 Conclusion
References
IoT Based Hydroponic System for Sustainable Organic Farming
1 Introduction
2 Proposed Methodology
3 Results and Discussion
4 Conclusion
References
Predicting Stride Length from Acceleration Signals Using Lightweight Machine Learning Algorithms
1 Introduction
2 Research Methods
3 Model Evaluation
4 Results and Discussion
5 Conclusion
References
Unveiling Hate: Multimodal Perspectives and Knowledge Graphs
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Introduction
3.2 Multimodal Extraction
3.3 Knowledge Graphs
3.4 Classification
4 Results and Discussions
5 Conclusion
References
Vision-Based Toddler Activity Recognition: Challenges and Applications
1 Introduction
2 Related Works
3 Issues and Challenges
4 Applications
5 Conclusion
References
Automated W-Sitting Posture Detection in Toddlers
1 Introduction
2 Related Works
3 Proposed Method
3.1 Dataset Description
4 Model Training and Evaluation
5 Conclusion and Future Scope
References
Enhancing Shear Wave Estimation Through Directional and Kalman Filters for Noise Reduction
1 Introduction
2 Materials and Methods
2.1 The Stiffness of Living Tissues
2.2 Estimating the Elasticity and Viscosity of Tissue.
3 Result and Discussion
3.1 Data Processing Flow
3.2 Result
4 Conclusions
References
Developing Efficient Methods for Tracking the Location, Status, and Maintenance Needs of Oxygen Cylinders Equipped with IoT Devices
1 Introduction
2 Related Work
3 Overview of Oxygen Cylinder System
4 Existing System
5 Proposed System
5.1 Visualisation
5.2 Techniques for Integration
6 Conclusion
References
Classification of Cyber Attacks in Internet of Medical Things Using Particle Swarm Optimization with Support Vector Machine
1 Introduction
2 Literature Review
3 Methodology
3.1 Proposed PSO with SVM
4 Results and Discussion
4.1 Dataset Description
5 Conclusion
References
AutoProc - AI Based Automated Exam Proctoring System with Test Score Analysis
1 Introduction
2 Literature Survey
3 Methodology and Methods
3.1 Features of Proposed System
3.2 Methodology of the Proposed System
4 Results and Discussion
4.1 Face Detection
4.2 User Verification
5 Conclusion
References
Network Summarization Through the Lens of Latent Semantic Analysis and Fuzzy Techniques
1 Introduction
2 Related Works
3 Proposed Methodologies
4 Result and Analysis
5 Conclusion
References
Acceleration of Variational Quantum Eigen Solver
1 Introduction
2 Problem Statement
3 GPU Acceleration
4 Conclusions
References
Quantum Computing Based Gate Level Optimizer for Digital Electronics
1 Introduction
2 Methodology
3 Design and Simulation
4 Result Analysis
5 Conclusion
References
Graph Optimization Studies with QAOA Using Pennylane
1 Introduction
2 Literature Review
3 Methodology and Building Blocks of QAOA
4 QAOA Implementation, Results and Discussion
5 Conclusion
References
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Proceedings of the International Conference on Internet of Everything and Quantum Information Processing

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