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

• Autore: Shrivastava Vivek
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (402 pages)
• Disciplina: 621.31
• Soggetto topico: Electric power production; Electric power distribution; Artificial intelligence; Electrical Power Engineering; Energy Grids and Networks; Artificial Intelligence
• Altri autori: BansalJagdish Chand PanigrahiB. K
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Power Engineering and Intelligent Systems
• ISBN: 981-9972-16-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910770246403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1097