Advances in IoT and Security with Computational Intelligence

Name: Advances in IoT and Security with Computational Intelligence | Proceedings of ICAISA 2023, Volume 2
Brand: Springer
Price: 255.73 EUR
Availability: OnlineOnly

Proceedings of ICAISA 2023, Volume 2

Anurag Mishra Deepak Gupta Girija Chetty(Herausgeber*in)

Springer (Verlag)

Erschienen am 21. September 2023

XVIII, 416 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-981-99-5088-1 (ISBN)

255,73 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Personen

Prof. Anurag Mishra has bachelor's and master's in Physics from the University of Delhi. He completed his M.E. in Computer Technology and Applications and Ph.D. in Electronics also from the University of Delhi. He has extensive experience of teaching B.Sc. (Hons.), M.Sc., B.Tech. and M.Tech. programs in Electronics and Computer Science. He has about 28 years of experience as a teacher and as an active researcher. He has been a consultant for offshoot agencies of the Ministry of Education, Government of India. Presently, he is nominated as a visitor's nominee in a central university by the Government of India. He has 65 refereed papers in highly cited journals, international conferences and book chapters, three authored, one edited book and two patents to his credit. He has recently entered into developing medical applications using deep convolutional neural networks. He is an active reviewer of papers for Springer, Elsevier and IEEE Transactions. He is a member of IEEE and also holds membership of the Institute of Informatics and Systemics (USA).
Dr. Deepak Gupta is an assistant professor in the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. Previously, he worked in the Department of Computer Science and Engineering at the National Institute of Technology Arunachal Pradesh. He received a Ph.D. in Computer Science and Engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR and other machine learning techniques. He has published over 70 referred journal and conference papers of international repute. His publications have more than 1384 citations with an h-index of 22 and an i10-index of 45 (Google Scholar, 21/06/2023). He is currently a member of an editorial review board member of Applied Intelligence. He is the recipient of the 2017 SERB-Early Career Research Awardin Engineering Sciences which is the prestigious award of India at the early career level. He is a senior member of IEEE and currently an active member of many scientific societies like IEEE SMC, IEEE CIS, CSI and many more. He has served as a reviewer of many scientific journals and various national and international conferences. He was the general chair of the 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021) and associated with other conferences like IEEE SSCI, IEEE SMC, IJCNN, BDA 2021, etc. He has supervised three Ph.D. students and guided 15 M.Tech. projects. He is currently the principal investigator (PI) or a co-PI of two major research projects funded by the Science and Engineering Research Board (SERB), Government of India.
Dr. Girija Chetty has a bachelor's and master's degrees in Electrical Engineering and Computer Science from India and Ph.D. in Information Sciences and Engineering from Australia. She has more than 38 years of experience in industry, research and teaching from Universities and Research and Development Organisations from India and Australia and has held several leadership positions including the head of Software Engineering and Computer Science, the program director of ITS courses, and the course director for Master of Computing and Information Technology Courses. Currently, she is a full professor in Computing and Information Technology at School of Information Technology and Systems at the University of Canberra, Australia, and leads a research group with several Ph.D. students, post-docs, research assistants and regular international and national visiting researchers. She is a senior member of IEEE, USA; a senior member of Australian Computer Society; and ACM member, and her research interests are in multimodal systems, computer vision, pattern recognition, data mining and medical image computing. She has published extensively with more than 200 fully refereed publicationsin several invited book chapters, edited books, and high-quality conferences and journals, and she is in the editorial boards, technical review committees and a regular reviewer for several Springer, IEEE, Elsevier and IET journals in the area related to her research interests. She is highly interested in seeking wide and interdisciplinary collaborations, research scholars and visitors in her research group.

Inhalt

Intro
Preface
Contents
Editors and Contributors
Comparative Study of Metaheuristic Algorithms for Scheduling in Cloud Computing Based on QoS Parameters
1 Introduction
1.1 Contributions
2 Review Literature
3 Scheduling Approaches
3.1 Heuristic Approaches
3.2 Metaheuristic Approaches
4 Problem Description and QoS Parameters
5 Comparative Analysis of PSO, GA, and ACO
6 Conclusion and Future Work
References
Impact of Spatial Distribution of Repeated Samples on the Geometry of Hyperplanes
1 Introduction
2 Review of SVM Classifiers
2.1 Support Vector Machine (SVM)
3 Experimental Setup, Results, and Analysis
3.1 Dataset Used
3.2 Algorithm
3.3 Case 1 and Case 3: Repeating the Left-Side Support Vectors Belonging to the Positive and Negative Classes
3.4 Case 2 and Case 4: Repeating the Right-Side Support Vectors Belonging to the Positive and Negative Classes
4 Conclusion and Future Directions
References
IoT-Based Smart Farming for Sustainable Agriculture
1 Introduction
2 Methodology
2.1 IoT in Indian Agriculture and Its Applications
2.2 Agridat Package in RStudio
3 Results
4 Discussion
5 Conclusion
References
ELM-Based Liver Disease Prediction Model
1 Introduction
2 Extreme Learning Machine
3 Dataset
4 Proposed Methodology
5 Result and Discussion
5.1 Performance Analysis of ELM Using 80:20 Training-Testing Ratio
5.2 Performance Analysis of ELM Using 70:30 Training-Testing Ratio
5.3 Comparison with Other Published Works Done in the Same Domain
6 Conclusion
References
Intercompatibility of IoT Devices Using Matter: Next-Generation IoT Connectivity Protocol
1 Introduction
1.1 Current Alternatives
2 Need for Matter
2.1 Smart Home Ecosystems
2.2 Consumer and Manufacturer Standpoint
2.3 Security
3 What is Matter
3.1 Architecture
3.2 Security
4 Thread for Matter
5 Outcome
5.1 Moving Forward
References
Role of Node Centrality for Information Dissemination in Delhi Metro Network
1 Introduction
1.1 Our Contributions
2 Characteristics of the Network
2.1 Structural Properties
2.2 Centrality Metrics
3 Methodology
3.1 Construction of Delhi Metro Network
3.2 Information Diffusion Model
4 Results
4.1 Identifying Prominent Metro Stations
4.2 Role of the Central Most Station on Information Dissemination
4.3 Identifying Efficient Centrality Measure by Regression Analysis
4.4 Connectivity Analysis
5 Conclusion
References
Biometric Iris Recognition System's Software and Hardware Implementation Using LabVIEW Tool
1 Introduction
2 Methodology
3 Drawbacks of the Research Works Done by Earlier Researchers
4 Image Analysis and the Image Recognition Algorithmic Steps
5 Recognition of Iris Procedures Utilizing Sing DIP Summaries
6 Overview of the LabVIEW Concepts
7 Proposed Contributions
8 Conclusions
References
A Unique Method of Detection of Edges and Circles of Multiple Objects in Imaging Scenarios Using Line Descriptor Concepts
1 Introduction
2 Block-Diagrams/Flow-Charts
3 Chain Coding Process
4 Approaches
5 Introductory Remarks
6 Line Descriptors
7 Program/Algorithm Developed
8 Conclusion
References
Robotic Vision: Simultaneous Localization And Mapping (SLAM) and Object Recognition
1 Introduction
2 Literature Survey
3 LiDAR SLAM
4 YOLO_v4
5 Hardware Used
6 Results
7 Conclusion
References
Optimum Value of Cyclic Prefix (CP) to Reduce Bit Error Rate (BER) in OFDM
1 Introduction
2 Related Work
3 Proposed Methodology
4 Simulation Flowchart
5 Results and Conclusion
5.1 BPSK (Binary Phase Shift Keying)
5.2 QPSK (Quadrature Phase Shift Keying)
5.3 16-QAM (16-Quadrature Amplitude Multiplexing)
5.4 32-QAM (32-Quadrature Amplitude Multiplexing)
References
Optimum Sizing of Solar/Wind/Battery Storage in Hybrid Energy System Using Improved Particle Swarm Optimization and Firefly Algorithm
1 Introduction
2 System Configuration, Mathematical Modeling of Components of Hybrid Renewable Energy System, Objective Function and Constraints
2.1 Mathematical Modeling of Components of Hybrid Energy System: [15, 17]
2.2 Objective Function and Constraints
3 Size Optimization Algorithms
3.1 Improved Particle Swarm Optimization (IPSO) [15, 17, 18]
3.2 Firefly Algorithm (FA): [11, 12, 16]:
3.3 Procedure for Implementing IPSO [18] and FA
3.4 Comparison of Optimization Methods IPSO and FA
4 Results and Discussions
5 Conclusions
References
Fuzzy Based MPPT Control of Multiport Boost Converter for Solar Based Electric Vehicle
1 Introduction
2 Proposed System
3 Solar PV
3.1 Solar PV Array
3.2 Fuzzy-Based MPPT Control
4 Non-isolated Multiport Boost Converter
4.1 Double Output Mode
5 Proposed Controller
6 Results
7 Conclusion
References
Image Classification Model Based on Machine Learning Using GAN and CNN Algorithm
1 Introduction
1.1 Face Detection
1.2 Developing Face Recognition Software
2 Literature Review
3 Experimental Investigation
3.1 Description of Modules
3.2 Response and Conversation
4 Result Analysis
5 Data Visualization Techniques
6 Conclusion
References
Role of Natural Language Processing for Text Mining of Education Policy in Rajasthan
1 Introduction
1.1 Interpretation with ML for NLP
1.2 About Education Policy 2020
2 Methodology
2.1 Code and Executed Screenshots of Python for NLP
3 Results
4 Conclusion
References
Multilingual and Cross Lingual Audio Emotion Analysis Using RNN
1 Introduction
2 Related Work
3 Methods and Materials
3.1 Database
3.2 Data Augmentation Technique
3.3 Feature Extraction
3.4 Convolution Neural Network
3.5 LSTM Model
4 Proposed Model Framework
5 Experimental Results and Discussion-
5.1 Some Potential Comparison Studies Based on Mono-lingual Database
5.2 Multilingual Database Analysis
5.3 Cross-Lingual Database Analysis
6 Conclusions
References
Multi-modality Brain Tumor Segmentation of MRI Images Using ResUnet with Attention Mechanism
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Preprocessing and Data Augmentation
3.2 ResUnet with Attention Mechanism
4 Results and Discussion
4.1 Dataset (BraTs 2020)
4.2 Experimental Setup
4.3 Performance Metrics
4.4 Results and Discussion
5 Conclusion and Future Scope
References
CPF Analysis for Identification of Voltage Collapse Point and Voltage Stability of an IEEE-5 Bus System Using STATCOM
1 Introduction
2 System Structure
3 Simulation Results and Discussion
4 Conclusion
References
Analysis of Various Blockchain-Based Solutions for Electronic Health Record System
1 Introduction
2 Blockchain Technology/Fundamentals
3 Blockchain Development Tools
4 Blockchain for EHR
5 Comparative Analysis of Existing Blockchain-Based Solutions
6 Conclusion
References
Coordinated Network of Sensors Over 5G for High-Resolution Protection of City Assets During Earthquakes
1 Introduction
1.1 Current Technology for Earthquake Early Warning
1.2 Proposed Dense Network of Sensors for Individual Asset Damage Assessment
2 Mini-Seismic Stations
3 Sensors Coordination
3.1 Asynchronous Sensor Coordination Algorithm
3.2 Latency Measurements
4 Performance-Based Damage Assessment
5 Infrastructures Interdependencies Integration (I2SIM)
6 Conclusion
References
Detection of COVID-19 Using Medical Image Processing
1 Introduction
2 Contribution of Medical Image Processing in COVID-19
3 Medical Image Processing with Deep Learning in COVID-19
4 Conclusions
References
Text Encryption Using ECC and Chaotic Map
1 Introduction
2 Preliminaries
2.1 Mathematical Computation with Elliptic Curve Over a Finite Field
2.2 Chaotic System
3 Data Grouping
4 Proposed Methodology
4.1 Encryption Algorithm
4.2 Decryption Algorithm
5 Experimental Simulation
6 Experimental Analysis
6.1 Key Space
6.2 Key Sensitivity
6.3 Histogram Analysis
6.4 Ciphertext Only Attack
6.5 Known Plaintext Attack
6.6 Performance Comparison
7 Conclusion
References
Plant Leaf Disease Detection and Classification: A Survey
1 Introduction
1.1 Motivation
2 Related Work
2.1 Disease Detection and Classification
2.2 Compartaive Analysis
3 Findings
4 Conclusion
References
Performance Evaluation of K-SVCR in Multi-class Scenario
1 Introduction
2 Literature Review
3 K-Support Vector Classification Regression
4 Experimental Design
5 Conclusion and Future Scope
References
An Ensemble Method for Categorizing Cardiovascular Disease
1 Introduction
2 Literature Survey
3 Methodology
3.1 Dataset
3.2 Data Preprocessing
3.3 Feature Engineering
4 Model Training and Disease Classification
5 Model Performance Evaluation
6 Discussion and Conclusion
References
Intrusion Detection System for Internet of Medical Things
1 Introduction
2 IoMT
2.1 Components of IoMT
2.2 3-Layer Architecture
2.3 Intrusion Detection in IoMT
3 Integrative Technologies in IoMT
3.1 Blockchain Technology
3.2 Physically Unclonable Function (PUF) Devices
3.3 SDN in IoMT
3.4 5G Technology
4 Open Challenges in IoMT
4.1 Infallible Secured Systems
4.2 Efficient Devices and Algorithms
4.3 Heterogenous IoMT Environment
4.4 Scalability
4.5 Low Detection and High False Alarm Rates
4.6 Lesser Availability of Datasets
4.7 Zero-Day Attacks
4.8 Issues with Emerging Technologies
5 Conclusion
References
Veracity Assessment of Big Data
1 Introduction
1.1 Veracity of Big Data
2 Literature Review
3 Research Gaps and Challenges
4 Tentative Solutions
5 Future Research Direction
6 Conclusion
References
The Role of Image Encryption and Decryption in Secure Communication: A Survey
1 Introduction
2 Literature Survey
2.1 AES-Based Encryption Schemes
2.2 DES-Based Encryption Scheme
2.3 Chaos-Based Encryption Schemes
2.4 Hybrid-Based Encryption Schemes
2.5 ECC-Based Encryption Schemes
2.6 RSA-Based Encryption Schemes
3 Comparative Analysis
4 Conclusion
References
Reconstructing Masked Face Using GAN Technique
1 Introduction
2 Related Work
3 Proposed Method
3.1 Image-to-Image Translation Using Conditional GAN
4 Experimentation
4.1 Construction of Masked Face Dataset
4.2 Architecture Implementation
5 Result and Discussion
5.1 Qualitative Comparison
5.2 Quantitative Comparison
6 Conclusion
References
Brain Cancer Detection Using Deep Learning (Special Session "Digital Transformation Era: Role of Artificial Intelligence, IOT and Blockchain")
1 Introduction
2 Related Work
3 Methodology Used
4 Data Description
5 Algorithm for 3D U-Net Division
6 Conclusion
References
Traffic Accident Modeling and Prediction Algorithm Using Convolutional Recurrent Neural Networks
1 Introduction
2 Background Works
3 Methodology
3.1 Model: Traffic Accident Prediction
3.2 Convolutional Recurrent Neural Networks (CRNNs) for Traffic Accident Prediction Algorithm
4 Performance Analysis
5 Conclusions
References
Cyberbullying Severe Classification Using Deep Learning Approach
1 Introduction
2 Related work
3 Methodology
3.1 Data Collection
3.2 Text Preprocessing
3.3 Sentiment Analysis
3.4 Data Annotation
3.5 Classification Algorithm
4 Proposed Model for Cyberbullying Severe Classification
4.1 CSC Model Working Steps
4.2 Model Training Algorithms
4.3 Evaluation Metrics
5 Results and Discussion
6 Conclusion
References
The Six Sigma Methodology Implementation in Agile Domain
1 Introduction
2 Literature Review
3 Proposed Solution
4 Methodology
4.1 Define Phase
4.2 Measure Phase
4.3 Analyze Phase
4.4 Improve Phase
4.5 Control Phase
5 Conclusion
References
Toward a Generic Multi-modal Medical Data Representation Model
1 Introduction
2 Background
3 Proposed Representation Model
4 Experimental Work
5 Conclusions and Further Plan
References
Universal Object Detection Under Unconstrained Environments
1 Introduction
2 Background
3 Denoising Diffusion Models
4 Experimental Work
5 Conclusions and Further Plan
References
Internet of Things-Based 3-Lead ECG Signal Acquisition System
1 Introduction
2 Theoretical Framework
3 Materials and Methods
3.1 Hardware Design
3.2 Software
3.3 Testing System
4 Results and Discussion
5 Conclusion and Future Work
References
Index

Systemvoraussetzungen

Als PDF speichern Als Link merken