Intelligence Enabled Research: DoSIER 2019 (Advances in Intelligent Systems and Computing)

✍ Scribed by Siddhartha Bhattacharyya (editor), Sushmita Mitra (editor), Paramartha Dutta (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 139
• Category: Library

✦ Synopsis

This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies.

✦ Table of Contents

Organization Committees
Chief Patron
Honorary Chair
General Chairs
Program Chairs
Technical Co-chairs
Organizing Secretaries
International Advisory Committee
Technical Program Committee
Publicity and Sponsorship Chairs
Local Hospitality Chairs
Finance Chair
Organizing Committee
Preface
Contents
About the Editors
Vehicle Pollution Detection from Images Using Deep Learning
1 Introduction
2 Methodology
3 Database and Experimental Setup
4 Result
5 Conclusion
References
Single Image De-raining Using GAN for Accurate Video Surveillance
1 Introduction
2 Related Work
3 Methodology
3.1 The Basic Idea Behind the Work
3.2 Network Architecture
4 Result and Discussion
5 Conclusion
References
Towards a Framework for Performance Testing of Metaheuristics
1 Introduction
2 Related Work
3 Proposed Framework
4 Testing and Analysis
5 Conclusions and Future Work
References
Automatic Clustering of Hyperspectral Images Using Qutrit Based Particle Swarm Optimization
1 Introduction
2 Related Work
3 Some Basic Concepts
3.1 Quantum Computing
3.2 Hyperspectral Image Band Fusion Method
4 Proposed Methodology
5 Experimental Results
5.1 Dataset
5.2 Fitness Function
5.3 Analysis
6 Conclusion
References
Multi-class Image Segmentation Using Theory of Weak String Energy and Fuzzy Set
1 Introduction
2 Theory of Weak String
3 Multi-class Image Segmentation and the Concept of Weak String
3.1 Process of Image Segmentation
3.2 Segmentation Based on Fuzzy Set
3.3 Proposed Concept of Weak String for Multi-class Segmentation
3.4 Proposed Algorithm
4 Results and Discussion
5 Conclusion
References
Stabilization of Nonlinear Optimum Control Using ASRE Method
1 Introduction
2 Linearization of Output to the Non-linear System
3 Example: A Nonlinear Self Explanatory System
4 Stabilization of the System Using ASRE Methodology
5 Quadratic Control of a Time-Varying System
6 Conclusion
References
Patient-Specific Seizure Prediction Using the Convolutional Neural Networks
1 Introduction
2 Related Works
3 Implementation
3.1 Database Used
3.2 Preprocessing
3.3 Convolutional Neural Network
4 Experimental Results
5 Discussions and Conclusion
References
A Deep Learning Approach for the Classification of Rice Leaf Diseases
1 Introduction
2 Proposed Work
2.1 Images Collection
2.2 Images Preprocessing and Augmentation
2.3 The Construction of Convolutional Neural Network Structure
2.4 Training–Progress Graphs of the Designed CNN Model
3 Experimental Results
4 Conclusion
References
Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study
1 Introduction
2 Purpose of Work
3 About Low-Resource Languages of North-East India
4 Data Preparation
4.1 Experimental Data Set
4.2 Data Collection
4.3 Data Transcription
5 Proposed Architecture and Methodology
5.1 Feature Extraction
5.2 Training and Testing Module
6 Results and Discussion
6.1 Performance of Baseline System
6.2 Performance of Language Family Classification Module
6.3 Performance Analysis of Proposed Methods
7 Conclusions
References
Implications of Nonlinear Control Over Traditional Control for Alleviating Power System Stability Problem
1 Contributions of the Research Undertaken
2 Deterministic Approach for the Design of Nonlinear Controller
2.1 Nonlinear Excitation Controller (NEC) via Zero Dynamics Design Approach
2.2 Design of Nonlinear SATCOM Controller of a Power System
2.3 Application of Noncooperative Game Theory in Nonlinear Controller Design
3 Stochastic Approach for the Design of Nonlinear Controller
3.1 LMI-Based Hinfty Excitation Controller Design
3.2 Design of Conventional STATCOM Applying PSO- and GA-Based Techniques
4 Performance Analysis of Nonlinear STATCOM Controller
5 Conclusion
References
Towards Sustainable Indian Smart Cities: An AHP Study
1 Introduction
2 Study Methodology
3 Model Description
4 Results and Discussion
4.1 Case Study 1: High Environmental Priority
4.2 Case Study 2: High Economic Priority
4.3 Case Study 3: High Social Priority
4.4 Sensitivity Analysis
5 Conclusion
References
Temporal Sentiment Analysis of the Data from Social Media to Early Detection of Cyberbullicide Ideation of a Victim by Using Graph-Based Approach and Data Mining Tools
1 Introduction
2 Related Work
3 Our Approach
4 Algorithm
4.1 Algorithm for Cyberbullicide Detection
5 Result and Discussion
5.1 n-gram Approach
6 Conclusion and Future Scope
References
Intelligent Color Image Watermarking Using Phase Congruency
1 Introduction
2 Proposed Methodology
2.1 Watermark Embedding
2.2 Watermark Extracting
3 Results and Discussion
4 Conclusion
References
Local Shearlet Energy Gammodian Pattern (LSEGP): A Scale Space Binary Shape Descriptor for Texture Classification
1 Introduction
2 Proposed Method
2.1 Shearlet Transform
2.2 Local Gammodian Binary Pattern
2.3 Local Shearlet Energy Gammodian Pattern Representation
2.4 Similarity Measure
3 Results and Discussion
4 Conclusion
References