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  • 1
    Online Resource
    Online Resource
    Singapore :Springer,
    UID:
    (DE-602)edoccha_9961426866202883
    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
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Sebastopol, CA : O'Reilly Media Inc.
    UID:
    (DE-603)47294360X
    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
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  • 3
    UID:
    (DE-101)1022377582
    Format: Online-Ressource
    Edition: neue Ausg.
    ISBN: 9783848485604
    Note: Lizenzpflichtig. - Vom Verlag als Druckwerk on demand angeboten
    Language: German
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  • 4
    UID:
    (DE-605)HT017759874
    Format: XXII, 279 S. : Ill., graph. Darst.
    ISBN: 9783848485604
    Note: Bibliography S. 263-279
    Language: English
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  • 5
    UID:
    (DE-627)749958014
    Format: XXII, 279 S. , graph. Darst.
    ISBN: 9783848485604
    Note: Bibliography S. 263-279
    Language: English
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  • 6
    UID:
    (DE-627)1547070269
    Format: Bände
    Language: English
    Keywords: Monografische Reihe
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  • 7
    UID:
    (DE-627)349254257
    Series Statement: EURASIP journal on applied signal processing ...
    Note: Papers presented at WIAMIS 2001, Tampere
    Language: English
    Keywords: Konferenzschrift
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  • 8
    UID:
    (DE-627)838263879
    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  (lizenzpflichtig)
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  • 9
    UID:
    (DE-627)349254451
    Format: S. 342-431
    Series Statement: EURASIP journal on applied signal processing 2002,4
    In: Pt. 1
    Language: English
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  • 10
    UID:
    (DE-627)1657304191
    Format: 1 online resource
    ISBN: 9781498714136
    Content: 1. Introduction -- 2. Python -- 3. Linear and Volterra filters -- 4. Median filters and some extensions -- 5. Forms of nonlinear behavior -- 6. Composite structures : bottom-up design -- 7. Recursive structures and stability.
    Additional Edition: 9781498714112
    Additional Edition: Pearson, Ronald K., 1952 - Nonlinear digital filtering with Python Boca Raton : CRC Press, Taylor & Francis Group, 2016 1498714110
    Additional Edition: 9781498714112
    Language: English
    Subjects: Engineering , Computer Science
    RVK:
    RVK:
    URL: Volltext  (lizenzpflichtig)
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