Power Engineering and Intelligent Systems

Name: Power Engineering and Intelligent Systems | Proceedings of PEIS 2023, Volume 1
Brand: Springer
Price: 309.23 EUR
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Proceedings of PEIS 2023, Volume 1

Vivek Shrivastava Jagdish Chand Bansal B. K. Panigrahi(Editor)

Springer (Publisher)

1st Edition

Published on 15. December 2023

XII, 404 pages

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978-981-99-7216-6 (ISBN)

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Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean Research & Consultancy at National Institute of Technology Delhi. Prior to his academic assignments, he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai China and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and government organizations at SanDisk Semiconductors; he has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B.Tech.-M.Tech. Program (Electrical Engineering) and master's program (Power Systems) at Gautam Buddha University Greater Noida. He has extensive experience academic administration in various capacity of Dean (Research & Consultancy), Dean (Student Welfare),Faculty In-charge (Training & Placement), Faculty In-charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, Experts in various committees in AICTE, UGC, etc. Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from Ministry of Human Resources & Development, Government of India, Board of Research in Nuclear Science (BRNS) subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 master's students and currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewable energy, and conventional power systems which include Wind, Photovoltaic (PV), Hybrid Power Systems, Distributed Generation, Grid Integration of Renewable Energy, Power Systems Analysis, and Smart Grid. Dr. Shrivastavais Editor/Associate Editor of the Journals, International Journal of Swarm Intelligence, (IJSI) and International Journal of System Assurance Engineering and Management. He is Fellow of the Institution of Engineers (India) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).

Dr. Jagdish Chand Bansal is Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary area of interest is Swarm Intelligence and Nature-Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is Section Editor (Editor-in-Chief) of the journal MethodsX published by Elsevier. He is Series Editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is General Secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.

B. K. Panigrahi is Professor at the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as Faculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. He is Fellow of INAE, India. His research interest includes application of soft computing and evolutionary computing techniques to power system planning, operation, and control. He has also working in the field of bio-medical signal processing and image processing. He has served as Editorial Board Member, Associate Editor, and special issue Guest Editor of different international journals. He is also associated with various international conferences in various capacities. He has published more than 100 research papers in various international and national journals.

Content

Intro
Preface
Contents
About the Editors
Control Strategies for Blood Pressure Regulation in the Diabetic Patients Post Surgery
1 Introduction
2 Internal Model Control
2.1 Factorization
2.2 Design of IMC Control
2.3 Adding Filter
2.4 Low Pass Filter
3 Design of the IMC Based PID Control
4 Simulation Results
5 Conclusion
References
Detecting Obfuscated Malware Using Graph Neural Networks
1 Introduction
2 Related Works
2.1 Malware Obfuscation Techniques
2.2 Malware Detection Techniques
3 Methods
3.1 Types of GNNs
3.2 Applications of GNNs
4 Results
4.1 Dataset
4.2 Results
5 Conclusions
References
Semi-Vector Controlled PM Synchronous Motor Drive
1 Introduction
2 Modeling of PM Synchronous Motor
3 Review of Vector Control Scheme
4 Semi-Vector Control Scheme
5 Implementation
6 Result and Discussion
7 Conclusion
References
A Comprehensive Review of Sensor-Based Smart Packaging Technology
1 Introduction
2 Active Packaging
3 Oxygen Scavengers
4 CO2 Absorbers and Emitters
5 Antimicrobial Packing
6 Moisture or Humidity Prevention
7 Discharge of Antioxidants
8 Recyclers of Ethylene
9 Other Forms of Activated Packaging
9.1 Intelligent Packaging
9.2 Sensors
10 Indicators
10.1 Freshness Indicators
10.2 Time Temperature Indicators
10.3 Integrity Indicators
11 Conclusion
References
Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card
1 Introduction
2 Literature Survey
3 Elliptic Curve Cryptography Algorithm
3.1 Runge-Kutta Methods
4 Proposed RKECC Algorithm
4.1 RKECC
5 Experimental Results
5.1 Time for Encryption
5.2 Time for Decryption
5.3 Time for Execution
5.4 Encryption Throughput
5.5 Decryption Throughput
5.6 Execution Throughput
5.7 Avalanche Effect
5.8 Power Consumption
6 Conclusion
References
Fundamental Security Risk Modeling in Smart Grid in the Modern Era of Artificial Intelligence
1 Introduction of Artificial Intelligence in Smart Grid
2 Need of Smart Grid
3 Comparison Between Traditional Grid and Smart Grid
4 AI-Based Power Generation and Distribution Through Smart Grid
5 Role of AI in the Management of Smart Grid
6 Algorithms Used in Smart Grid
6.1 Neural Networks
6.2 Fuzzy Logic
6.3 Reinforcement Learning
6.4 Support Vector Machines (SVMs)
6.5 Decision Trees
6.6 Particle Swarm Optimization
7 Conclusion
References
Adaptive Multi-resolution Simulations of Cascaded Converters
1 Introduction
2 High-Fidelity Modeling of PECs
2.1 Cascaded Converters
3 AMRS Framework for Cascaded Converters
4 Simulations
5 Conclusion
References
Efficient Solar Cell Using COMSOL Multiphysics
1 Introduction
1.1 Construction of the Solar Cell
1.2 Working of Solar Cell
1.3 Solar Cell Panels
1.4 Solar Power System Components
1.5 Depletion Region Formation
2 Literature Review
3 Methodology
3.1 Geometry
3.2 Interpolation Spectrums
3.3 Variables
3.4 Materials
3.5 Meshing
3.6 Study
3.7 Results
4 Results and Analysis
5 Conclusion and Future Work
References
Post Quantum Secure Blockchain Architecture for Data Dissemination
1 Introduction
2 Blockchain Characteristics
2.1 Functional Characteristics
2.2 Security Issues
3 Proposed Post Quantum Secure Blockchain Architecture
3.1 Parameters Selection/Setup Phase
3.2 Public/Private Key Generation(upper B 0 comma upper T Subscript upper B 0 Baseline comma upper B 1 comma upper B 2 comma upper B 3 comma ellipsis comma upper B Subscript n BaselineB0,TB0, B1,B2,B3,.,Bn)
3.3 Address Generation
3.4 Transaction Block Generation
3.5 Consensus Participation with Aggregate Signature
3.6 Verification of Block
3.7 Consensus with Aggregate Signature Verification
4 Performance
5 Conclusion
References
An Open-Source Learning Management System
1 Introduction
1.1 Different Types of Learning
1.2 LMS
2 Related Work
3 Software Used
3.1 WordPress
4 Implementation
4.1 Selection of Domain
4.2 Selection of Domain
4.3 Creation of Page
4.4 Creation of Course
4.5 Payment Method
4.6 Data Storage
5 Applications
6 Future Scope
7 Conclusion
References
Design and Implementation of Seven-Level Reduced Switch Count Multilevel Inverter for Electric Vehicle Applications
1 Introduction
2 Cascaded H-bridge Multilevel Inverter
3 Cascaded H-bridge Multilevel Inverter
4 PWM for Harmonics Reduction
5 Results and Discussions
6 Conclusion
References
Ultrasound Image Classification and Follicle Segmentation for the Diagnosis of Polycystic Ovary Syndrome
1 Introduction
2 Literature Review
3 Methodology
3.1 Image Acquisition and Pre-Processing
3.2 Deep Learning Technique
3.3 Performance Analysis
4 Results and Discussions
4.1 Classification
4.2 Segmentation
5 Conclusions and Future Perspectives
References
Twitter Data Analysis Using BERT and Graph-Based Convolution Neural Network
1 Introduction
2 Related Work
3 Proposed System
4 Results and Discussion
5 Conclusion
References
A Topology for Reactive Power Compensation in Grid System Using a Low-Cost Thyristor Switched Capacitor Scheme
1 Introduction
2 Background
3 Thyristor Switched Capacitor
4 Simulink Model of Test System
5 Results and Discussion
6 Conclusion
References
An Automated Two-Stage Brain Tumour Diagnosis System Using SVM and Geodesic Distance-Based Colour Segmentation
1 Introduction
2 Related Works
3 Materials and Metrics
3.1 Materials
3.2 Metrics
4 Proposed Methodology
5 Results and Discussion
6 Conclusion
References
Assessment of Online Teaching Using Statistical and Unsupervised Learning Methods
1 Introduction
2 Methodology
2.1 Population and Sample
2.2 Tests and Methods
3 Analysis
4 Discussion
5 Conclusion
References
An Image-Based Automated Model for Plant Disease Detection Using Wavelet
1 Introduction
2 Suggested Model
2.1 Image Acquisition
2.2 Image Pre-processing
2.3 Image Segmentation
2.4 Feature Extraction
2.5 Classification
3 Experimental Setup
4 Experimental Findings
5 Conclusion and Future Scope
References
Computer Vision Assisted Bird-Eye Chilli Classification Framework Using YOLO V5 Object Detection Model
1 Introduction
2 Related Work
3 Methodology
3.1 Architecture of the Proposed System
4 Experimental Setup
5 Conclusion
References
An Effective Grid Connected Multi Level Inverter Based Hybrid Wind and Solar Energy
1 Introduction
2 System Description
2.1 PV Array Modelling
2.2 Wind Energy Source
3 Grid Connected Hybrid Cascaded MLI
4 Control Method and Switching Strategy
5 Results and Discussions
6 Comparison Between Proposed System and Existing System
7 Conclusion
References
A Comprehensive Analysis of Autism Spectrum Disorder Using Machine Learning Algorithms: Survey
1 Introduction
2 Related Works
3 Investigation of ASD
4 Discussion
5 Challenges and Solutions
6 Conclusion and Future Work
References
Energy-Efficient Cluster Head Election and Data Aggregation Ensemble Machine Learning Algorithm
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Cluster Formation Using Machine Learning
3.2 Data Aggregation Using Machine Learning
3.3 Methods and Tools
4 Result Analysis
5 Conclusion
References
Multi-sensor Data Fusion for Early Fire Estimation Using ML Techniques
1 Introduction
2 The Approach
2.1 Scaling and Data Preprocessing
2.2 Algorithms for Machine Learning
3 Experiments
3.1 Logistic Regression
3.2 K-Nearest Neighbor
3.3 SVM
3.4 SVM RBF
3.5 Naive Bayes
3.6 Decision Tree
3.7 Random Forest
3.8 Graphs
4 Observation and Result
5 Sum Up and Future Outlook
References
Design and Analysis of Solar Cell Coplanar Antenna for Wireless Applications
1 Introduction
2 Design Modelling
3 Results and Analysis
4 Conclusion
References
Open Permissioned Blockchain Solution for Private Equity Funding Using a Global, Cross-Cloud Network Blockchain Platform
1 Introduction
2 Related Work
3 Proposed Work
4 Methodology
5 Results
6 Conclusion
References
The Challenge of Recognizing Artificial Intelligence as Legal Inventor: Implications and Analysis of Patent Laws
1 Introduction
1.1 Social Significance
1.2 Research Methodology
2 Overview of Artificial Intelligence
3 Patent Laws and Legal Inventorship
4 Case Law and International Perspectives
5 Implications of Recognizing AI as a Legal Inventor
6 Potential Solutions for Recognizing AI as a Legal Inventor
7 Results and Discussion
8 Way Forward
9 Conclusion
References
Comparative Analysis of Imbalanced Malware Byteplot Image Classification Using Transfer Learning
1 Introduction
2 Related Work
3 Proposed Architecture
4 Proposed Methodology
4.1 Data Blending
4.2 Image Preprocessing
4.3 Domain Adaptation
4.4 Evaluation Metrics
5 Results and Discussion
5.1 Comparison Across Models
5.2 Comparison Across Datasets
5.3 Comparison with Existing Benchmarks
6 Conclusion
References
Recommender Systems for Personalized Business Marketing: Employing Artificial Intelligence and Business Intelligence in Machine Learning Techniques
1 Introduction
2 Related Research
3 Proposed Work
4 System Model
4.1 Research Objective
4.2 Dataset Description
4.3 Software Description
5 Mapping Research Objectives with Outcomes
6 Result and Future Work
References
Blockchain Technology for Secure Smart Grid Access Control
1 Introduction
2 Component of Smart Grids
2.1 Smart Meters
2.2 Phasor Measurement Units (PMUs)
2.3 Sensors
2.4 Information Transfer and Distribution
3 Security Challenges of the Smart Grids
3.1 Phishing
3.2 Malware Spreading
3.3 Denial-of-Service (DoS)
3.4 Man in the Middle
4 Role of Blockchain Embedded with Smart Grid
5 Existing Research on Blockchain and Smart Grid Security and Solution
6 Purposed Methodology to Avoid Security Risk
7 Conclusion
References
Tie-Line Power Frequency Stability Control of an Interconnected Hybrid Power System Using a Virtual Inertia Controller by the GWO Algorithm
1 Introduction
2 Related Work
3 Power System Modeling
3.1 Two-Area Power System
3.2 Hybrid System
3.3 Tie-Line Power Flow
3.4 Frequency Control
3.5 VIC
3.6 Synchronous Generator-Based Virtual Inertia Controller (SGVIC)
3.7 Energy Storage System
3.8 GWO Algorithm
4 Simulation and Results
5 Conclusion
References
Lithium-Ion Batteries: Prognosis Algorithms, Challenges and Future Scenario
1 Introduction
2 SoC Estimation Methods
2.1 Coulomb Counting Method
2.2 Model-Based Approaches
2.3 Filter Based Approaches
2.4 Data-Driven Approaches
3 Comparison and Challenges with Prognosis Methods
4 Selection and Future Scenario
References
Diseased Leaf Identification Using Bag-of-Features and Sigmoidal Spider Monkey Optimization
1 Introduction
2 Literature Review
3 Proposed Approach
3.1 Feature Extraction
3.2 Bag-of-Words (BoW)
3.3 Classification
4 Experimental Results
4.1 Result Analysis of Diseased Leaf Identification System
5 Conclusion
References
Detection of FDI Attacks on Power Grid Using Graph-Theoretical Methods
1 Introduction
2 Model and Definitions
2.1 Power Grid Model
2.2 Basic Graph Theoretical Terms
2.3 Attack Model
3 State Estimation
4 Numerical Results
5 Conclusion
References
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Power Engineering and Intelligent Systems

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