Power Engineering and Intelligent Systems : Proceedings of PEIS 2023, Volume 1 / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi.

Format:

Book

Author/Creator:

Shrivastava, Vivek.

Contributor:

Bansal, Jagdish Chand.

Panigrahi, B. K.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 1097

Language:

English

Subjects (All):

Electric power production.

Electric power distribution.

Artificial intelligence.

Electrical Power Engineering.

Energy Grids and Networks.

Artificial Intelligence.

Local Subjects:

Electrical Power Engineering.

Energy Grids and Networks.

Artificial Intelligence.

Physical Description:

1 online resource (402 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

The book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2023), held during June 24–25, 2023, at National Institute of Technology Delhi, India.

Contents:

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

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

Semi-Vector Controlled PM Synchronous Motor Drive

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

A Comprehensive Review of Sensor-Based Smart Packaging Technology

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

Comparative Analysis of RSA-RK and ECC-RK for Aadhaar Card

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

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

Adaptive Multi-resolution Simulations of Cascaded Converters

2 High-Fidelity Modeling of PECs

2.1 Cascaded Converters

3 AMRS Framework for Cascaded Converters

4 Simulations

Efficient Solar Cell Using COMSOL Multiphysics

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

Post Quantum Secure Blockchain Architecture for Data Dissemination

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

An Open-Source Learning Management System

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

Design and Implementation of Seven-Level Reduced Switch Count Multilevel Inverter for Electric Vehicle Applications

2 Cascaded H-bridge Multilevel Inverter

3 Cascaded H-bridge Multilevel Inverter

4 PWM for Harmonics Reduction

5 Results and Discussions

Ultrasound Image Classification and Follicle Segmentation for the Diagnosis of Polycystic Ovary Syndrome

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

Twitter Data Analysis Using BERT and Graph-Based Convolution Neural Network

3 Proposed System

4 Results and Discussion

A Topology for Reactive Power Compensation in Grid System Using a Low-Cost Thyristor Switched Capacitor Scheme

2 Background

3 Thyristor Switched Capacitor

4 Simulink Model of Test System

5 Results and Discussion

References.

An Automated Two-Stage Brain Tumour Diagnosis System Using SVM and Geodesic Distance-Based Colour Segmentation

3 Materials and Metrics

3.1 Materials

3.2 Metrics

4 Proposed Methodology

Assessment of Online Teaching Using Statistical and Unsupervised Learning Methods

2 Methodology

2.1 Population and Sample

2.2 Tests and Methods

3 Analysis

4 Discussion

An Image-Based Automated Model for Plant Disease Detection Using Wavelet

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

Computer Vision Assisted Bird-Eye Chilli Classification Framework Using YOLO V5 Object Detection Model

3.1 Architecture of the Proposed System

4 Experimental Setup

An Effective Grid Connected Multi Level Inverter Based Hybrid Wind and Solar Energy

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

6 Comparison Between Proposed System and Existing System

A Comprehensive Analysis of Autism Spectrum Disorder Using Machine Learning Algorithms: Survey

3 Investigation of ASD

5 Challenges and Solutions

6 Conclusion and Future Work

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

Multi-sensor Data Fusion for Early Fire Estimation Using ML Techniques

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

Design and Analysis of Solar Cell Coplanar Antenna for Wireless Applications

2 Design Modelling

3 Results and Analysis

4 Conclusion

Open Permissioned Blockchain Solution for Private Equity Funding Using a Global, Cross-Cloud Network Blockchain Platform

4 Methodology

5 Results

The Challenge of Recognizing Artificial Intelligence as Legal Inventor: Implications and Analysis of Patent Laws

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

Comparative Analysis of Imbalanced Malware Byteplot Image Classification Using Transfer Learning

3 Proposed Architecture

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Shrivastava, Vivek Power Engineering and Intelligent Systems

ISBN:

9789819972166

9819972167

OCLC:

1415629995