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Table of Contents
Intro
Preface
Contents
About the Editors
Study of Different Control Strategies Applied to a Second-Order Nonlinear Tank Process
1 Introduction
2 Process Description
3 Mathematical Modelıng
3.1 Determination of Valve Discharge Coefficients
4 Desıgn of Gain-Scheduled PI Controller
5 Desıgn of Fuzzy Gaın-Scheduled PI Controller
6 Simulation Results
7 Conclusions
References
A Review of Direction of Arrival Estimation Techniques in Massive MIMO 5G Wireless Communication Systems
1 Introduction
1.1 Applications and Challenges
1.2 Review Methodology
1.3 Organization
2 DOA Signal Model
3 Conventional DOA Estimation
3.1 Delay and Sum Method
3.2 Minimum Variance Distortion Less Response (MVDR) Method
3.3 Multiple Signal Classifier (MUSIC)
3.4 Estimation of Signal Parameters via Rotational Invariance (ESPRIT)
3.5 FT-DOA
3.6 Performance Analysis
4 Compressive Sensing for DOA Estimation
4.1 Convex Optimization Approach (l1-Norm Minimization)
4.2 Greedy Algorithm
4.3 Iterative Algorithm
4.4 Statistical Sparse Recovery
4.5 Performance Analysis
5 Deep Learning
5.1 Deep Neural Network (DNN)
5.2 Performance Analysis
6 Open Issues and Future Directions
7 Conclusion
References
Generation of Counters and Compressors Using Sorting Network
1 Introduction
2 Literature Survey
3 Proposed Work
4 Results
5 Discussion
6 Conclusion and Future Scope
References
Gujarati Language Automatic Speech Recognition Using Integrated Feature Extraction and Hybrid Acoustic Model
1 Introduction
2 Preliminaries
2.1 Mel-Frequency Cepstral Coefficients (MFCC)
2.2 Constant Q Cepstral Coefficients (CQCC)
2.3 Crowdsourced High-Quality Gujarati Multi-Speaker Speech Dataset
3 Proposed Automatic Speech Recognition (ASR) System
3.1 Combined MFCC + CQCC-Based Feature Extraction Technique
3.2 Two-Dimensional Convolutional Neural Network (Conv2D) + Bi-Directional Gated Recurrent Units-Based (BiGRU) Backend Model
4 Experimental Setup
5 Performance Analysis
5.1 Results
5.2 Comparative Analysis with Existing Approaches
6 Conclusion
References
Graphene and Fullerene in Energy Storage Devices: A Comprehensive Review
1 Introduction
2 Role of Graphene in Energy Storage
2.1 Graphene in Enhancing Performance of Energy Storage Devices
3 Role of Fullerene in Energy Storage
3.1 Fullerene in Enhancing Performance of Energy Storage Devices
4 Conclusion
References
A Robust Ensemble Learning Model for Fine-Grained Detection of Cyber Harassment
1 Introduction
2 Background and Related Work
2.1 Text Representation Word Embedding Models
2.2 Machine Learning Methodologies in Cyber Harassment Detection
2.3 Ensemble Model for Cyber Harassment Detection
3 Proposed Work
3.1 Exploration About the Dataset
3.2 Architecture Diagram
Preface
Contents
About the Editors
Study of Different Control Strategies Applied to a Second-Order Nonlinear Tank Process
1 Introduction
2 Process Description
3 Mathematical Modelıng
3.1 Determination of Valve Discharge Coefficients
4 Desıgn of Gain-Scheduled PI Controller
5 Desıgn of Fuzzy Gaın-Scheduled PI Controller
6 Simulation Results
7 Conclusions
References
A Review of Direction of Arrival Estimation Techniques in Massive MIMO 5G Wireless Communication Systems
1 Introduction
1.1 Applications and Challenges
1.2 Review Methodology
1.3 Organization
2 DOA Signal Model
3 Conventional DOA Estimation
3.1 Delay and Sum Method
3.2 Minimum Variance Distortion Less Response (MVDR) Method
3.3 Multiple Signal Classifier (MUSIC)
3.4 Estimation of Signal Parameters via Rotational Invariance (ESPRIT)
3.5 FT-DOA
3.6 Performance Analysis
4 Compressive Sensing for DOA Estimation
4.1 Convex Optimization Approach (l1-Norm Minimization)
4.2 Greedy Algorithm
4.3 Iterative Algorithm
4.4 Statistical Sparse Recovery
4.5 Performance Analysis
5 Deep Learning
5.1 Deep Neural Network (DNN)
5.2 Performance Analysis
6 Open Issues and Future Directions
7 Conclusion
References
Generation of Counters and Compressors Using Sorting Network
1 Introduction
2 Literature Survey
3 Proposed Work
4 Results
5 Discussion
6 Conclusion and Future Scope
References
Gujarati Language Automatic Speech Recognition Using Integrated Feature Extraction and Hybrid Acoustic Model
1 Introduction
2 Preliminaries
2.1 Mel-Frequency Cepstral Coefficients (MFCC)
2.2 Constant Q Cepstral Coefficients (CQCC)
2.3 Crowdsourced High-Quality Gujarati Multi-Speaker Speech Dataset
3 Proposed Automatic Speech Recognition (ASR) System
3.1 Combined MFCC + CQCC-Based Feature Extraction Technique
3.2 Two-Dimensional Convolutional Neural Network (Conv2D) + Bi-Directional Gated Recurrent Units-Based (BiGRU) Backend Model
4 Experimental Setup
5 Performance Analysis
5.1 Results
5.2 Comparative Analysis with Existing Approaches
6 Conclusion
References
Graphene and Fullerene in Energy Storage Devices: A Comprehensive Review
1 Introduction
2 Role of Graphene in Energy Storage
2.1 Graphene in Enhancing Performance of Energy Storage Devices
3 Role of Fullerene in Energy Storage
3.1 Fullerene in Enhancing Performance of Energy Storage Devices
4 Conclusion
References
A Robust Ensemble Learning Model for Fine-Grained Detection of Cyber Harassment
1 Introduction
2 Background and Related Work
2.1 Text Representation Word Embedding Models
2.2 Machine Learning Methodologies in Cyber Harassment Detection
2.3 Ensemble Model for Cyber Harassment Detection
3 Proposed Work
3.1 Exploration About the Dataset
3.2 Architecture Diagram