Kooperativer Bibliotheksverbund

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Format: 1 online resource (671 pages)

Edition: 1st ed. 2024.

ISBN: 981-9968-55-0

Series Statement: Lecture Notes in Electrical Engineering, 1088

Content: This book presents the select peer-reviewed proceedings of the 2nd International Conference on Emerging Electronics & Automation (E2A) 2022. The proceedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. This volume will be of interest to those in academia and industry.

Note: A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases -- Vernacular Language Handwriting Recognition using Deep Learning Techniques -- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks -- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation -- Design of Regenerative Snubber Circuit for Motor Drivers -- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty -- Unfalsified Adaptive Control of a Robotic System -- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device -- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models -- Handwritten Word Recognition in English Language -- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition -- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection -- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency -- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT -- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network -- Design and Implementation of Garbage Detection and Classification Using YOLO-V5 -- Simulations towards design of Matching Layer in Acoustic Emission Sensor -- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid -- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors -- Study of Dielectric Characteristics of Forsterite Based Medical Implant -- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions -- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI -- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance -- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application -- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.

Additional Edition: Print version: Gabbouj, Moncef Emerging Electronics and Automation Singapore : Springer Singapore Pte. Limited,c2024 ISBN 9789819968541

Language: English

DOI: 10.1007/978-981-99-6855-8

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Format: 1 online resource (671 pages)

Edition: First edition.

ISBN: 981-9968-55-0

Series Statement: Lecture Notes in Electrical Engineering Series ; Volume 1088

Note: 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.

Additional Edition: Print version: Gabbouj, Moncef Emerging Electronics and Automation Singapore : Springer Singapore Pte. Limited,c2024 ISBN 9789819968541

Language: English

UID:

Format: 1 Online-Ressource (286 pages)

Edition: 1st edition

ISBN: 9781498714136

Content: Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.

Language: English

URL: https://learning.oreilly.com/library/view/-/9781498714136/?ar

URL: https://learning.oreilly.com/library/view/-/9781498714136/?ar

UID:

Format: Online-Ressource

Edition: neue Ausg.

ISBN: 9783848485604

Note: Lizenzpflichtig. - Vom Verlag als Druckwerk on demand angeboten

Language: German

URN: urn:nbn:de:101:1-201205156238

URL: https://nbn-resolving.org/urn:nbn:de:101:1-201205156238

URL: https://d-nb.info/1022377582/34

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Format: XXII, 279 S. : Ill., graph. Darst.

ISBN: 9783848485604

Note: Bibliography S. 263-279

Language: English

URL: Inhaltsverzeichnis

UID:

Format: XXII, 279 S. , graph. Darst.

ISBN: 9783848485604

Note: Bibliography S. 263-279

Language: English

UID:

Format: Bände

Language: English

Keywords: Monografische Reihe

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Series Statement: EURASIP journal on applied signal processing ...

Note: Papers presented at WIAMIS 2001, Tampere

Language: English

Keywords: Konferenzschrift

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Format: Online-Ressource (298 p)

ISBN: 9781498714136

Content: Cover -- Contents -- Preface -- Authors -- Chapter 1: Introduction -- Chapter 2: Python -- Chapter 3: Linear and Volterra Filters -- Chapter 4: Median Filters and Some Extensions -- Chapter 5: Forms of Nonlinear Behavior -- Chapter 6: Composite Structures: Bottom-up Design -- Chapter 7: Recursive Structures and Stability -- Bibliography.

Note: Description based upon print version of record

Additional Edition: 9781498714136

Additional Edition: 9781498714112

Additional Edition: Print version Nonlinear Digital Filtering with Python : An Introduction

Language: English

Keywords: Electronic books

URL: Volltext

URL: Volltext  (lizenzpflichtig)

UID:

Format: S. 342-431

Series Statement: EURASIP journal on applied signal processing 2002,4

In: Pt. 1

Language: English