Soft Computing and its Engineering Applications: Proceedings of the Second International Conference, icSoftComp 2020 Changa, Anand, India, December 11–12, 2020 [1 ed.] 9811607079, 9789811607073

Table of contents :
Preface
Organization
Contents
Theory and Methods
On the Performance Analysis of Efficient Path-Planning Algorithms for Fire-Fighting Robots
Abstract
1 Introduction
2 Literature Review
3 Methodology
3.1 Binary Occupancy Map
3.2 Rapidly Exploring Random Tree (RRT) and Rapidly Exploring Random Tree Star (RRT*)
4 Results
5 Conclusion
6 Future Scope
References
Automatic Image Colorization Using GANs
Abstract
1 Introduction
2 Survey on Existing Techniques of Image Processing
2.1 Image Colorization
2.2 Generative Adversarial Networks
3 Comparison of Relevant Works
4 Basics of Generative Adversarial Networks (GANs)
4.1 Training of Discriminator
4.2 Training of Generator
4.3 Simultaneous Training of Generator and Discriminator
4.4 Conditional GANs
4.5 Architecture of Our GANs Model
4.6 Experimental and Development Environment
4.7 Training Strategies of Our GANs Model
5 Results
5.1 Mean Squared Error (MSE) Equation
5.2 Structural Similarity Index (SSIM)
5.3 Findings on Our Dataset
6 Conclusion and Future Directions
References
Gujarati Task Oriented Dialogue Slot Tagging Using Deep Neural Network Models
Abstract
1 Introduction
2 Slot Tagger
3 Approaches for Slot Tagging
3.1 LSTM
3.2 BiLSTM
3.3 BiLSTM-CRF
3.4 CNN BiLSTM
4 Deep Neural Network Model’s Slot Tagger Experiment and Results on Gujarati Task Oriented Dialogue
4.1 Corpus
4.2 Word Embedding
4.3 Implementation of Deep Neural Network Models and Results
5 Conclusion
References
Energy Efficient Aspects of Federated Learning – Mechanisms and Opportunities
1 Introduction
2 Federated Learning – Generic Architecture
3 Federated Learning – Taxonomy, Metrics, Architectures
3.1 Federated Learning – Taxonomy
3.2 FL Metrics
3.3 FL Architectures/Infrastructures
4 Energy Efficient Mechanisms – Research Opportunities
5 FL Applications
6 Conclusions
References
Classification of UrbanSound8k: A Study Using Convolutional Neural Network and Multiple Data Augmentation Techniques
Abstract
1 Introduction
2 Related Work
3 Dataset Description
4 Data Preprocessing
5 Methodology
6 Evaluation Metrics and Data Preparation
7 Results and Discussion
8 Conclusion
References
Quantile Regression Support Vector Machine (QRSVM) Model for Time Series Data Analysis
Abstract
1 Introduction
2 Related Work
3 Quantile Regression Support Vector Machine (QRSVM) Model
4 Experiments and Results
5 Conclusions
References
Selection of Characteristics by Hybrid Method: RFE, Ridge, Lasso, and Bayesian for the Power Forecast for a Photovoltaic System
1 Introduction
2 Methodology
3 Methods
3.1 Recursive Feature Elimination
3.2 Ridge
3.3 Ridge-Bayesian
3.4 Lasso
4 Data Set
4.1 Data Acquisition
5 Results
5.1 Non-multicollinearity Between Predictors - Correlation
5.2 Prediction
6 Validation of the Results
6.1 Linearity
6.2 Normality of Error Terms
6.3 No Autocorrelation of the Error Terms
6.4 Homocedasticity
7 Description and Analysis of the Results
8 Conclusions
References
Parameter Optimization of Reaching Law Based Sliding Mode Control by Computational Intelligence Techniques
Abstract
1 Introduction
2 Preliminaries
2.1 Sliding Mode Control
2.2 Genetic Algorithm
2.3 Particle Swarm Optimization
3 Optimal Reaching Law Based SMC for Mass-Spring-Damper System
4 Results and Discussion
5 Conclusion
References
Efficiency of Parallelization Using GPU in Discrete Dynamic Models Construction Process
Abstract
1 Introduction
2 Parallelization Method of Optimization Procedures for Constructing of Discrete Dynamical Models
3 Discrete Dynamical Model for Sulfur Dioxide Emission Prediction
4 Research of Efficiency of Parallel Model
5 Conclusions
References
On the Performance Analyses of a Modified Force Field Algorithm for Obstacle Avoidance in Swarm Robotics
Abstract
1 Introduction
2 Review of Previous Literature
3 Experimental Methods
4 Results and Analysis
5 Conclusion
References
Rethinking the Limits of Optimization Economic Order Quantity (EOQ) Using Self Generating Training Model by Adaptive-Neuro Fuzzy Inference System
Abstract
1 Introduction
2 Inventory Model for EOQ
2.1 ANFIS Model Development
2.2 Model Development and Application
2.3 Algorithm Description and Application
3 Results and Discussion
4 Conclusion
References
Hybrid POS Tagger for Gujarati Text
Abstract
1 Introduction
2 Literature Survey
3 Comparative Study of Statistical POS Taggers
4 Gujarati Language Rules with Lookup Table for Improving the Accuracy of Statistical POS Taggers
5 Conclusion
References
Optimization of ICT Street Infrastructure in Smart Cities
Abstract
1 Introduction
1.1 Smart City
2 Methodology
2.1 Problem Statement
2.2 Research Objective
3 Literature Review
4 Analysis of ICT Street Infrastructure
4.1 Different ICT Infrastructure on Streets and Junctions
4.2 Comparative Analysis of Street Infrastructure in Five Different Smart Cities
4.3 A Study of Street Infrastructure at Two Locations in City A
4.4 Design Principles for ICT Street Infrastructure
5 Implementation Phases of ICT Street Infrastructure
5.1 Pre-implementation Phase
5.2 Implementation Phase
5.3 Post-implementation Phase
6 Cost Analysis
7 Conclusion
References
Transfer Learning-Based Image Tagging Using Word Embedding Technique for Image Retrieval Applications
1 Introduction
1.1 Challenges
2 Related Works
2.1 Word Embedding
2.2 Zero-Shot Tagging
3 Proposed Methodology
3.1 Architecture of the Proposed System
3.2 Training
4 Experimental Analysis
4.1 Results
5 Conclusion
References
Comparison of Deep Learning Models for Cancer Metastases Detection: An Experimental Study
1 Introduction
2 Related Work
3 Dataset
4 Methodology
4.1 Convolutional Neural Networks
4.2 Autoencoders
4.3 Architectures Used
5 Implementation Details
5.1 Evaluation Metrics
6 Results and Discussions
7 Conclusion
References
A Lightweight Hybrid Majority Vote Classifier Using Top-k Dataset
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection
3.2 Split-then-Vote Lightweight Hybrid Majority Vote Algorithm
4 Experimentation
5 Conclusion and Future Work
References
Systems and Applications
Twitter Emotion Analysis for Brand Comparison Using Naive Bayes Classifier
1 Introduction
2 Related Works
3 Our Approach
3.1 Training a Classification Model
3.2 Data Collection
3.3 Data Pre-processing
3.4 Stanford NLP
3.5 Enhanced Implementation of Naive Bayes
3.6 Brand Comparison
3.7 Extended Brand Comparison
4 Experiments and Evaluations
4.1 Experiments
4.2 Evaluations
4.3 Findings
5 Conclusion and Future Scope
5.1 Conclusion
5.2 Future Scope
References
A Smart Card Based Lightweight Multi Server Encryption Scheme
Abstract
1 Introduction
2 Background
2.1 Attacks on Multi-server Setting
2.2 Smart Token Service
2.3 The Modified Diffie-Hellman Key Exchange Protocol
2.4 Symmetric Encryption Technique
2.5 Round Key Generation
3 The Novel Multi-server Authentication System
3.1 The System Model
3.2 Registration Process
3.3 Login Process
3.4 Token Generation Process
3.5 Mutual Authentication Process
4 Conclusion
References
Firmware Attack Detection on Gadgets Using Ridge Regression (FAD-RR)
Abstract
1 Introduction
2 Related Work
3 Delineation Firmware Attack Detection on Gadgets Using Ridge Regression (F-RR)
4 Experimental Results and Comparison
5 Conclusion and Future Work
References
Automatic Text Extraction from Digital Brochures: Achieving Competitiveness for Mauritius Supermarkets
Abstract
1 Introduction
2 Advertising and Marketing by Supermarkets
3 Text Extraction from PDF Documents
3.1 Layout Analysis
3.2 Segmentation
3.3 Character/Symbol Recognition
3.4 Structure Recognition
4 Related Works
5 Automating Extraction of Text Contents
6 Implementation, Testing and Results
7 Discussions
8 Conclusion
References
Improved Predictive System for Soil Test Fertility Performance Using Fuzzy Rule Approach
Abstract
1 Introduction
2 Background and Related Works
2.1 Fuzzy Logic
2.2 Fuzzy Inference System (Mamdani)
2.3 Defuzzification and Decision Making
3 Materials and Methods
3.1 Proposed Fuzzy Logic System Algorithm
3.2 Fuzzification and Rating for Soil Fertility Classes
3.3 Rule Base and Expression
4 Results and Discussion
5 Conclusion
References
Artificial Intelligence Applications to Tackle COVID-19
Abstract
1 Introduction
2 Potential AI Applications to Quell COVID-19 Pandemic
2.1 Patient’s Perspective
2.2 Treatment and Curative AI
2.3 Awareness and Social Control AI
2.4 Early Warnings and Alerts
3 Constraints and Pitfalls
4 Future Scope
5 Conclusion
References
Throat Inflammation Based Mass Screening of Covid-19 on Embedded Platform
Abstract
1 Introduction
2 Related Work
3 Proposed Method
3.1 Region of Interest Detection (ROI)
3.2 Segmentation
3.3 Template Matching
3.4 Hardware Implementation
4 Experiments and Results
4.1 Dataset Preparation
4.2 Testing Details
4.3 Evaluation Metrics
5 Conclusion
References
Predicting Novel CoronaVirus 2019 with Machine Learning Algorithms
Abstract
1 Introduction
1.1 Origin and Cause
1.2 Prevention
1.3 Treatment
1.4 Research in Context
2 Literature Review
3 Methodology
4 Results and Discussion
5 Recommendations for Health Practitioners Based on the Findings of this Paper
6 Conclusion
References
Evaluation of Image Filtering Parameters for Plant Biometrics Improvement Using Machine Learning
Abstract
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Capturing
3.2 Image Filtering
3.3 Sequential Minimal Optimization (SMO) Algorithm
3.4 SMOTE Application
3.5 Machine Learning Implementation
4 Result and Discussion
5 Conclusion
Acknowledgement
References
Glaucoma Detection Using Features of Optic Nerve Head, CDR and ISNT from Fundus Image of Eye
Abstract
1 Introduction
2 Literature Survey
3 The Proposed Glaucoma Detection Algorithm
4 Pseudocode of the Algorithm
4.1 Image Pre-processing
4.2 Segmentation of Optic Disc
4.3 Analyse Image for CDR and ISNT
5 Experiment and Analysis
6 Result and Discussion
7 Conclusion and Future Work
Acknowledgements
References
Crop Yield Estimation Using Machine Learning
1 Introduction
2 Background and Related Work
2.1 Precision Agriculture
2.2 Rainfall
2.3 Weather and Climate Change
2.4 Pollution and Fertilizers
2.5 Soil and Minerals
2.6 Plant Diseases
2.7 Remote Sensing and Internet of Things
3 Implementation and Results
3.1 Methodology
3.2 Data Preprocessing
3.3 Implementation
3.4 Results
4 Future Work and Conclusion
References
Embedded Linux Based Smart Secure IoT Intruder Alarm System Implemented on BeagleBone Black
Abstract
1 Introduction
2 Related Work
3 Proposed Work
4 Mathematical Model
4.1 Mathematical Model for Hardware Structure
4.2 Mathematical Model of Cloud Application
5 Experimental Setup
5.1 Secure Kernel Image
5.2 Writing the Device Driver Code
5.3 Cross Compilation of Device Driver
5.4 BeagleBone Black Setup
6 Overall Hardware Setup
6.1 Hardware Implementation
6.2 Interface Between AWS Cloud and Mobile Application
7 Test Results
8 Conclusion
References
Author Index