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Emerging Electronics and Automation : Select Proceedings of E2A 2022



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Autore: Gabbouj Moncef Visualizza persona
Titolo: Emerging Electronics and Automation : Select Proceedings of E2A 2022 Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024
©2024
Edizione: 1st ed.
Descrizione fisica: 1 online resource (671 pages)
Altri autori: PandeyShyam Sudhir  
GargHari Krishna  
HazraRanjay  
Nota di contenuto: Intro -- Committee -- About the Conference -- Message from the Patron -- Message from the Honorary Chair -- Message from the General Chair -- Message from the General Chair -- Message from the General Chair -- Message from the General Chair -- Message from Head of the Department -- Message from the Organizing Chairs -- Keynote Speakers -- Future Directions -- Contents -- About the Editors -- Control and Robotics Track-I -- Unfalsified Adaptive Control of a Robotic System -- 1 Introduction -- 2 System Model -- 3 Controller Design -- 4 Stability Analysis -- 5 Result -- 6 Conclusion -- References -- Semi-active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Description of the System -- 2.2 Linear Quadratic Gaussian (LQG) Control -- 2.3 Control Device: Magnetorheological (MR) Damper -- 3 The Sample System -- 4 Performance Evaluation (Simulation Study) -- 5 Conclusion -- References -- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models -- 1 Introduction -- 2 Auxiliary Results -- 3 Proportional Reversed Hazards Frailty Models -- 4 Conclusion -- References -- Realization of Fractional-Order Proportional Integral Controller for a Class of Higher Order System-A Comparative Study -- 1 Introduction -- 2 Designing Methodology of FOC -- 3 Simulations and Results -- 4 Conclusions -- References -- Relative Ageing of Population and Subpopulations in Proportional Hazard Frailty Models -- 1 Introduction -- 2 Preliminaries -- 3 Auxiliary Results -- 4 Proportional Hazards Frailty Models -- References -- Control and Robotics Track-II -- Experimental Validation of Direct Synthesis-Based PI/PID Controller Applied to First and Second Order Variable Area Tank Process -- 1 Introduction -- 2 Mathematical Modelling.
3 Empirical Model Identification -- 4 Direct Synthesis (DS) Method of Tuning PI/PID Controller -- 4.1 ZN Method of PI/PID Controller Tuning -- 5 Experimental Results and Discussions -- 6 Conclusion -- References -- Robust Controller Design for Inverted Pendulum Using Sliding Mode Control Technique -- 1 Introduction -- 2 Sliding Mode Controller Design -- 3 Modelling of Inverted Pendulum -- 4 Implementation of Sliding Mode -- 4.1 Simulation and Results -- 5 Conclusion -- References -- Robust IMC-Based Integer and Fractional Filter PID Controller Design for Non-minimum Phase Systems -- 1 Introduction -- 2 Proposed Fractional Filter IMC-PID Controller Design -- 3 Performance Analysis of the Proposed Controller -- 4 Simulation Results and Discussion -- 4.1 Example 1 -- 4.2 Example 2 -- 5 Conclusion -- References -- Signal and Image Processing Track-I -- Squeeze Excitation Embedded Attention U-Net for Brain Tumor Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Squeeze Attention Embedded Attention U-NET -- 4 Results and Discussion -- 5 Conclusion -- References -- Handwritten Word Recognition in English Language -- 1 Introduction -- 1.1 Problem Definition -- 1.2 Project Overview -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Pre-processing -- 3.2 Testing and Training Dataset -- 3.3 Shuffling of Dataset -- 4 Classification of Technique -- 4.1 Transfer Learning Models-ResNet -- 4.2 KNN Model -- 4.3 SVM Model -- 4.4 CNN Model -- 4.5 Feature Extraction -- 5 Training Model -- 5.1 Prediction of Test Images -- 5.2 Prediction on External Image -- 5.3 Implementing Model on Word Recognition -- 5.4 Prediction on External Image -- 6 Results and Observation -- 6.1 Cross-Validation -- 6.2 Confusion Matrix -- 6.3 F1 Score -- 6.4 Conclusion -- References.
Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition -- 1 Introduction -- 2 Background -- 2.1 Integer Wavelet Transform -- 2.2 Singular Value Decomposition (SVD) -- 3 Proposed Methodology -- 3.1 Watermark Embedding -- 3.2 Watermark Extraction -- 3.3 Flow Chart -- 4 Results and Discussion -- 5 Conclusion -- References -- Algorithm to Assist Visually Impaired Person for Object Detection in Real Time -- 1 Introduction -- 2 Implementation -- 2.1 Yolov4 -- 2.2 Data Preprocessing -- 2.3 Framework -- 3 Results and Discussion -- 4 Evaluation -- 4.1 Accuracy -- 4.2 F1 Score -- 5 Conclusions -- 6 Future Work -- References -- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection -- 1 Introduction -- 2 Literature Survey -- 3 Background Study -- 3.1 K-Nearest Neighbors -- 3.2 Naive Bayes -- 3.3 Decision Tree -- 4 Proposed Framework -- 4.1 Dataset Description -- 4.2 Data Pre-processing and Exploration -- 4.3 Model Evaluation Metrics -- 5 Experimental Results and Discussion -- 6 Conclusions and Future Works -- References -- Signal and Image Processing Track-II -- A Data Analytics-Based Study in SARS-CoV-2 Genome Revealed a Commonality in the Infection Pattern -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Retrieval and Sequence Analysis -- 2.2 Analysis of Mutations in Alive and Deceased Patients -- 3 Results -- 3.1 Effect of Mutation Spectra on Different Age Groups -- 3.2 Most Frequent Mutations Reported for Alive and Deceased Patients -- 4 Conclusions -- References -- Pain-Level Detection Using Heart Rate Variability -- 1 Introduction -- 2 Methodology -- 2.1 Feature Extraction -- 3 Result and Discussion -- 4 Conclusion -- References -- Automated Segmentation of Macula in Retinal Images Using Deep Learning Methodology -- 1 Introduction -- 2 Related Works -- 3 Methodology.
3.1 Network Architecture -- 3.2 Residual Extended Skip -- 3.3 Loss Function -- 4 Result -- 4.1 Database -- 4.2 Performance Metric -- 4.3 Experimental Outcomes -- 5 Conclusion -- References -- Skin Lesion Segmentation Using Wavelet Transform on MATLAB -- 1 Introduction -- 2 Literature Survey -- 2.1 Diagnosis Methods -- 2.2 MATLAB -- 3 Some Basic Terminologies -- 3.1 Principal Component Analysis (PCA) -- 3.2 Image Thresholding -- 3.3 Jaccard Index -- 3.4 Jaccard Distance -- 4 Results -- 4.1 Results for Border Detection -- 4.2 Results for Symmetry -- 5 Conclusion -- References -- Optimization of Compact Zoom Lens Design for Optical Imaging Systems -- 1 Introduction -- 2 Proposed Methodology -- 3 Optimized System Design -- 4 Results and Discussion -- 5 Conclusion -- References -- Brain Tumor Detection Using Image Classifier -- 1 Introduction -- 1.1 Brain Tumor -- 1.2 Existing Systems to Detect Brain Tumor -- 2 Methodology Used -- 2.1 Artificial Intelligence -- 2.2 Functioning of Neural Networks -- 2.3 Transfer Learning -- 2.4 Convolutional Neural Network -- 3 Process for Detecting Tumor -- 3.1 Data Augmentation -- 3.2 Image Preprocessing -- 3.3 Segmentation -- 3.4 Feature Extraction -- 3.5 Machine Learning Training and Testing -- 4 The Suggested System -- 5 Data Assembling Process -- 5.1 Data Enhancement -- 5.2 Data Generation -- 5.3 Data Separation -- 6 Experimental Results -- 7 Conclusion -- References -- A Study on Significant Progress in Face Recognition and Its Related Techniques Toward Better Achievement for Various Applications -- 1 Introduction -- 2 Literature Review -- 3 Various Stages of Face Recognition -- 3.1 The Algorithm Stage -- 3.2 Artificial Features and Classifier Stage -- 3.3 Artificial Neural Network -- 4 Development of Deep Convolutional Neural Network (DCNN) -- 4.1 Improvement Based on Datasets.
4.2 Improvement Based on Loss Function -- 4.3 Improvement Based on Architecture -- 5 Parameter Analysis of CNN Model for Face Recognition Application -- 5.1 Architecture of the Proposed CNN -- 5.2 Parameter Analysis of Convolutional Neural Network Model -- 5.3 Experimental Result of the Proposed CNN -- 6 Conclusion and Challenges -- References -- Communication Systems -- A Survey on Dynamic Load Balancing Techniques in Cloud Computing -- 1 Introduction -- 2 Literature Review -- 3 Aim of Load Balancing in Cloud Computing -- 4 Challenges of Load Balancing -- 5 Types of Load Balancing Algorithm -- 5.1 Types of Dynamic Load Balancing Algorithms -- 6 Conclusion -- References -- Blockchain Enabled Secured Carpooling Platform with Proof of Concept -- 1 Introduction -- 2 Literature Survey -- 2.1 Smart Contract Enabled Carpooling System -- 2.2 Smart Contract -- 3 Proposed Design Framework -- 3.1 Threat Model and Assumption -- 3.2 Design Requirements -- 3.3 Model Details -- 4 Implementation and Result -- 5 Conclusion -- References -- Energy, Power Systems and Power Electronics Track-I -- Multi-stage and Multi-objective Dynamic Optimization-Based Scheduling of Uncertain Hybrid Renewable Energy Systems with Real-Time Energy Compensation -- 1 Introduction -- 2 Multi-stage Scheduling Framework -- 3 System Architecture in Stage 1 -- 4 Optimization Problem Formulation -- 4.1 Dynamic Optimization Problem Formulation in Stage 1 -- 4.2 Real-Time Energy Allocation in Stage 2 -- 5 Results and Discussion -- 6 Conclusion -- References -- Design of Regenerative Snubber Circuit for Motor Drivers -- 1 Introduction -- 1.1 Analysis of RC Snubber Circuit -- 2 Proposed Snubber Circuit -- 3 Recovery Power Estimation -- 4 Experimental Results -- 5 Conclusion -- References.
Clustering-Based Multi-objective Stochastic Optimization Approach in Scheduling Optimal Energy Dispatch of Multiple Energy Sources in the Presence of Uncertainty.
Titolo autorizzato: Emerging Electronics and Automation  Visualizza cluster
ISBN: 981-9968-55-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910831497603321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Electrical Engineering Series