Intelligent Data Engineering and Analytics: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and ... Innovation, Systems and Technologies, 266)

Organization
Preface
Contents
About the Editors
1 Automated Flower Species Identification by Using Deep Convolution Neural Network
	1.1 Introduction
	1.2 Related Work
		1.2.1 Feature Extraction
		1.2.2 Local Feature Descriptor
		1.2.3 Global Descriptor
	1.3 Global Feature Extraction
		1.3.1 Training Images
		1.3.2 Deep Learning Using CNN
	1.4 Proposed System
	1.5 Results
	1.6 Conclusion
	References
2 Information Retrieval for Cloud Forensics
	2.1 Introduction
		2.1.1 Comparison to Other Cloud Forensics Datasets
	2.2 Dataset
		2.2.1 Monitoring Database
		2.2.2 Monitoring Database
	2.3 Training and Testing
	2.4 Conclusion
	References
3 Machine Translation System Combination with Enhanced Alignments Using Word Embeddings
	3.1 Introduction
	3.2 Methodology
		3.2.1 Confusion Network Generation
		3.2.2 Alignment of Hypotheses Using Word Embeddings
	3.3 Related Literature
	3.4 Set up of the Experiments
		3.4.1 Data
		3.4.2 Data Pre-processing
		3.4.3 Training of MT Systems
	3.5 Experiments and Results
	3.6 Conclusion
	References
4 Geometry-Based Machining Feature Retrieval with Inductive Transfer Learning
	4.1 Introduction
	4.2 Literature Review
	4.3 Materials and Methods
		4.3.1 3D CAD Models
		4.3.2 Methodology
	4.4 Results and Discussion
	4.5 Conclusion and Future Work
	References
5 Grapheme to Phoneme Conversion  for Malayalam Speech Using Encoder-Decoder Architecture
	5.1 Introduction
	5.2 Literature Review
	5.3 Malayalam Phonemes
	5.4 Dataset Description
	5.5 Experiments and Results
		5.5.1 Experimental Setup—The Grapheme to Phoneme Model
		5.5.2 Hyperparameters
	5.6 Results and Discussion
	5.7 Conclusion
	References
6 Usage of Blockchain Technology in e-Voting System Using Private Blockchain
	6.1 Introduction
		6.1.1 Blockchain Technology
		6.1.2 Smart Contract
		6.1.3 Private Versus Public Blockchain
		6.1.4 Practical Byzantine Fault Tolerance (PBFT)
	6.2 Literature Review
	6.3 Proposed e-Voting Application
		6.3.1 Voter/Candidate Registration Phase
		6.3.2 Voter Authentication and Login Phase
		6.3.3 Vote Casting and Validation Phase
		6.3.4 Voter Counting and Announcement of Result Phase
	6.4 Conclusion
	References
7 Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning
	7.1 Introduction
	7.2 Related Work
	7.3 Dataset Preparation
		7.3.1 Training Set Preparation
		7.3.2 Test Set Preparation
	7.4 Sample Applications of BVG
		7.4.1 Text-Only Translation
		7.4.2 Bengali Caption Generation
	7.5 Conclusion and Future Work
	References
8 Deep Learning-Based Mosquito Species Detection Using Wingbeat Frequencies
	8.1 Introduction
	8.2 Related Works
	8.3 Materials and Methods
		8.3.1 Audio Data Capture
		8.3.2 Data Preprocessing
		8.3.3 Machine Learning-Based Model Development and Training
		8.3.4 Inference Generation
	8.4 Results
		8.4.1 Experimental Setup
		8.4.2 Model Training
		8.4.3 Performance Comparison
	8.5 Discussion and Conclusion
	References
9 Developments in Capsule Network Architecture: A Review
	9.1 Introduction
		9.1.1 Convolutional Neural Networks (CNN)
		9.1.2 Limitations of Convolutional Neural Networks
	9.2 Capsule Networks (CapsNet)
		9.2.1 Transforming Auto-encoders
		9.2.2 Dynamic Routing Between Capsules
		9.2.3 Matrix Capsule with EM Routing
	9.3 Major Capsule Networks Structures  and Implementations
		9.3.1 CapsNet Performance Analysis
		9.3.2 Other Modifications on Baseline Implementation
		9.3.3 Capsule Network Applications
		9.3.4 Datasets
		9.3.5 Performance Evaluation Methods
		9.3.6 Discussion
	9.4 Conclusion
	References
10 Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives
	10.1 Introduction
		10.1.1 Related Work
		10.1.2 Contributions
	10.2 Methodology
		10.2.1 Dataset
		10.2.2 Mask R-CNN Implementation
		10.2.3 Reducing False Positives
		10.2.4 Training Details
	10.3 Results
		10.3.1 Evaluation Metrics
		10.3.2 Evaluation of Polyp Frames
	10.4 Conclusion
	References
11 Image GPT with Super Resolution
	11.1 Introduction
	11.2 Background and Related Work
		11.2.1 IGPT Algorithm
		11.2.2 ESPCNN Algorithm
	11.3 Proposed Algorithm
	11.4 Our Results on IGPT-S and ESPCNN Super Resolution
	11.5 Conclusion
	References
12 Boosting Accuracy of Machine Learning Classifiers for Heart Disease Forecasting
	12.1 Introduction
	12.2 Related Works
	12.3 Methodology
		12.3.1 Dataset Description
		12.3.2 Architecture
		12.3.3 Pre-processing
		12.3.4 Learning Classifiers
		12.3.5 Ensemble Methods
	12.4 Implementation and Results
		12.4.1 Technology
		12.4.2 Evaluation Metrics
		12.4.3 Results
	12.5 Conclusion
	References
13 Rapid Detection of Fragile X Syndrome: A Gateway Towards Modern Algorithmic Approach
	13.1 Introduction
	13.2 Our Approach
	13.3 Results
	13.4 Conclusion and Future Prospect
	References
14 Summarizing Bengali Text: An Extractive Approach
	14.1 Introduction
	14.2 Literature Review
	14.3 Methodology
		14.3.1 BERT-SUM Fine Tune for Summarization
		14.3.2 BERT Extractive Summarization
	14.4 Result
	14.5 Conclusions
	References
15 Dynamic Hand Gesture Recognition  of the Days of a Week in Indian Sign Language Using Low-Cost Depth Device
	15.1 Introduction
		15.1.1 Related Work
		15.1.2 Our Contributions
	15.2 Data Collection
	15.3 Pre-processing
		15.3.1 Key Frames Extraction
		15.3.2 Background Subtraction
	15.4 Features Extraction
	15.5 Experiments and Analysis
	15.6 Conclusion
	References
16 Sentiment Analysis on Telugu–English Code-Mixed Data
	16.1 Introduction
	16.2 Literature Survey
	16.3 Proposed Methodologies
		16.3.1 Dataset
		16.3.2 Lexicon-Based Approach
		16.3.3 Machine Learning Approach
	16.4 Results
	16.5 Conclusion and Future Work
	References
17 Fuzziness on Interconnection Networks Under Ratio Labelling
	17.1 Introduction
	17.2 Basic Concepts
	17.3 Context that Enhances the Study
	17.4 Main Results
		17.4.1 Definition
		17.4.2 Theorem
		17.4.3 Theorem
		17.4.4 Theorem
		17.4.5 Theorem
		17.4.6 Theorem
	17.5 Conclusion
	References
18 CoviNet: Role of Convolution Neural Networks (CNN) for an Efficient Diagnosis of COVID-19
	18.1 Introduction
	18.2 Literature Survey
		18.2.1 Limitations
	18.3 Proposed Methodology
		18.3.1 XGBOOST Classifier
		18.3.2 Algorithm for CT-Scan Image Classification
		18.3.3 Database
	18.4 Screen Shots
	18.5 Results and Discussion
	18.6 Conclusion and Future Work
	References
19 Deep Learning for Real-Time Diagnosis of Pest and Diseases on Crops
	19.1 Introduction
	19.2 Methods
		19.2.1 Data Collection
		19.2.2 Android Application
		19.2.3 Website
		19.2.4 Convolutional Neural Networks (CNN)
	19.3 Results and Discussion
	19.4 Conclusion
	References
20 Sentiment-Based Abstractive Text Summarization Using Attention Oriented LSTM Model
	20.1 Introduction
	20.2 System Description
		20.2.1 Data Processing
		20.2.2 System Training
		20.2.3 System Testing
	20.3 Experimental Design
		20.3.1 Dataset Description and Evaluating Methods
		20.3.2 Experimental Setup
	20.4 Result Analysis
	20.5 Conclusion
	References
21 A Fuzzy-Based Multiobjective Cat Swarm Optimization Algorithm: A Case Study on Single-Cell Data
	21.1 Introduction
	21.2 Cat Swarm Optimization
		21.2.1 Seeking Mode
		21.2.2 Tracing Mode
	21.3 Proposed Multiobjective Fuzzy-Based Cat Swarm Optimization Algorithm for Clustering
		21.3.1 Solution Representation and Population Initialization
		21.3.2 Assignment of Gene Point to Different Cluster
		21.3.3 Execution of FCM Step
		21.3.4 Objective Function
		21.3.5 Selection and Ranking of New Non-dominated Solution for the Next Generation
		21.3.6 Clustering Optimization with CSO Algorithm
		21.3.7 Terminating Criteria
	21.4 Experimental Result
		21.4.1 Dataset Description
		21.4.2 Discussion of Result
		21.4.3 Case Study: Human Urinary Bladder
	21.5 Conclusion and Future Work
	References
22 KTM-POP: Transliteration of K-POP Lyrics to Marathi
	Abstract
	22.1 Introduction
		22.1.1 Types of Transliteration
		22.1.2 Phonetic Representation
		22.1.3 Script Specification
	22.2 Literature Survey
	22.3 Methodology
	22.4 Result and Discussion
	22.5 Conclusion
	References
23 A Comparative Study on the Use of Augmented Reality in Indoor Positioning Systems and Navigation
	23.1 Introduction
	23.2 Indoor Positioning System
	23.3 Augmented Reality
		23.3.1 Applications of AR in Navigation
	23.4 Augmented Reality-Based Indoor Positioning Systems
	23.5 Inference
	23.6 Conclusion and Future Scope
	References
24 Classification of Chest X-Ray Images to Diagnose COVID-19 Disease Through Transfer Learning
	24.1 Introduction
	24.2 Related Works
	24.3 Proposed Model
	24.4 Experimentation and Results
		24.4.1 Dataset
		24.4.2 Experimental Setup
		24.4.3 Results and Analysis
	24.5 Comparative Analysis
		24.5.1 Within Model Comparison
		24.5.2 Comparison Against State-of-the Art Models
	24.6 Conclusion
	References
25 Remodeling Rainfall Prediction Using Artificial Neural Network and Machine Learning Algorithms
	25.1 Introduction
	25.2 Related Work
	25.3 Methodology
	25.4 Experimental Analysis
	25.5 Result and Discussion
	25.6 Conclusion and Future Work
	References
26 Gender-Based Emotion Recognition: A Machine Learning Technique
	26.1 Introduction
	26.2 Technique and Algorithm
	26.3 Feature Extraction
	26.4 Gaussian Mixture Model
	26.5 Simulation Modeling
	26.6 Conclusion
	References
27 An Efficient Exploratory Demographic Data Analytics Using Preprocessed Autoregressive Integrated Moving Average
	27.1 Introduction
	27.2 Methodology
		27.2.1 Data Collection
		27.2.2 Data Preprocessing
	27.3 Data Visualization and Data Insights
	27.4 Time Series Forecasting
	27.5 Future Work and Conclusion
	References
28 Classification of VASA Dataset Using J48, Random Forest, and Naive Bayes
	28.1 Introduction
	28.2 Related Work
	28.3 Methodology
		28.3.1 J48 Algorithm
		28.3.2 Random Forest
		28.3.3 Naive Bayes
	28.4 Results and Discussion
	28.5 Conclusion
	References
29 Efficient Fault-Tolerant Cluster-Based Approach for Wireless Sensor Networks
	29.1 Introduction
	29.2 Related Work
	29.3 System Model and Assumptions
	29.4 Proposed Methodology
	29.5 Simulation Results
	29.6 Conclusion
	References
30 From Chalk Boards to Smart Boards: An Integration of IoT into Educational Environment During Covid-19 Pandemic
	30.1 Introduction
	30.2 Review of Literature
	30.3 Objectives
	30.4 A Fusion of IoT into Educational Sector for Learning Purpose During Covid-19 Pandemic
		30.4.1 Unveiling a World of Opportunities
		30.4.2 Challenges in Integrating IoT into Education
	30.5 Conclusion
	References
31 Design and Development of an IoT-Based Smart Hexa-Copter for Multidisciplinary Applications
	31.1 Introduction
	31.2 Literature Review
	31.3 The Proposed System Architecture and Its Components
		31.3.1 Microscopic Description of the Application
		31.3.2 Required Components with a Specific Application
		31.3.3 Working Functionalities
		31.3.4 Circuit Diagram
	31.4 Various Calculation and Results
		31.4.1 System Testing and Error Analysis
	31.5 Conclusion
	References
32 Deep Learning-Based Violence Detection from Videos
	32.1 Introduction
	32.2 Related Work
		32.2.1 Approaches Based on Convolutional Neural Networks
		32.2.2 Motion Detection-Based Approaches
		32.2.3 Approaches Utilizing Other Machine Learning Algorithms
	32.3 Proposed Work
	32.4 Datasets
	32.5 Implementation
		32.5.1 Setup
		32.5.2 Parameters
		32.5.3 Result
	32.6 Conclusion
	32.7 Future Work
	References
33 Stationary Wavelet-Based Fusion Approach for Enhancement of Microscopy Images
	33.1 Introduction
	33.2 Proposed Fusion-Based Enhancement Approach
		33.2.1 Guided Image Filter (GIF)
		33.2.2 Morphological Filter (MF)
		33.2.3 Unsharp Masking (UM)
		33.2.4 Fusion-Based Enhancement Filter Using SWT
	33.3 Results and Discussions
		33.3.1 Image Quality Assessment
		33.3.2 Experimental Results
		33.3.3 Discussions
	33.4 Conclusion
	References
34 A Novel Optimization for Synthesis of Concentric Circular Array Antenna
	34.1 Introduction
	34.2 Concentric Circular Antenna Array
	34.3 Design Equations
	34.4 Biogeography-Based Optimization-BBO
	34.5 Results
		34.5.1 Results for Concentric Circular Array Antenna Using GA
		34.5.2 Results for Concentric Circular Array Antenna Using PSO
		34.5.3 Results for Concentric Circular Array Antenna Using BBO
	34.6 Conclusions
	References
35 PAPR Analysis of FBMC and UFMC for 5G Cellular Communications
	35.1 Introduction
	35.2 FBMC and UFMC
		35.2.1 FBMC
		35.2.2 UFMC
	35.3 PAPR
	35.4 Simulation Results
		35.4.1 PAPR Analysis
	35.5 Conclusion and Future Scope
	References
36 Touchless Doorbell with Sanitizer Dispenser: A Precautionary Measure of COVID-19
	36.1 Introduction
	36.2 Implementation Diagram
	36.3 Design Approach of Project
	36.4 Results and Discussions
	36.5 Conclusion
	References
37 Optic Disc Segmentation Based on Active Contour Model for Detection and Evaluation of Glaucoma on a Real-Time Challenging Dataset
	37.1 Introduction
	37.2 Method and Materials
		37.2.1 Method
		37.2.2 Materials
	37.3 Results and Discussions
	37.4 Conclusion
	References
38 Array Thinning Using Social Modified Social Group Optimization Algorithm
	38.1 Introduction
	38.2 Problem Formulation
	38.3 The Social Group Optimization Algorithm
	38.4 Results and Discussions
	38.5 Conclusion
	References
39 Impact of Flash Flood on Landuse and Landcover Dynamics and Erosional Pattern of Jiadhal River Basin, Assam, India
	39.1 Introduction
	39.2 Study Area
	39.3 Methodology
	39.4 Results and Discussion
		39.4.1 Land Use Land Cover and Erosion Dynamics
		39.4.2 Impact of Flash Flood on Soil Loss
	39.5 Conclusion
	References
40 Landslide Risk Dynamics Modeling Using AHP-TOPSIS Model, Computational Intelligence Methods, and Geospatial Analytics: A Case Study of Aizawl City, Mizoram—India
	40.1 Introduction
	40.2 Materials and Methodology
		40.2.1 Location of the Study Area
		40.2.2 Data Used
		40.2.3 Methodology
	40.3 Results and Discussion
		40.3.1 Results Obtained from Assessment of Landslide Hazard Area
		40.3.2 Map Validation of Landslide Hazard Accuracy Using Historical Landslide Data
		40.3.3 Results Obtained from the Identification of Vulnerable Zones
		40.3.4 Results of the Assessment of Risk Analysis for Landslide Hazard in Aizawl City
	40.4 Conclusions
	References
41 Delineation and Assessment of Groundwater Potential Zones Using Geospatial Technology and Fuzzy Analytical Hierarchy Process Model
	41.1 Introduction
	41.2 Study Area
	41.3 Tools and Techniques Use in This Study
	41.4 Research Methodology
	41.5 Identification of Influencing Factors
	41.6 Result Obtained from Knowledge-Based GIS Assessment
	41.7 Results Obtained from AHP-Based GIS Assessment
	41.8 Results Obtained from Fuzzy AHP-Based GIS Assessment
	41.9 Results Obtained from Proximity-Based GIS Assessment
	41.10 Results Obtained by Adding the Result Maps of All Techniques (Knowledge Based, AHP, Fuzzy AHP)
	41.11 Summary, Conclusion and Recommendations
	References
42 COVID-19: Geospatial Analysis of the Pandemic—A Case Study of Bihar State, India, Using Data Derived from Remote Sensing Satellites and COVID-19 National Geoportal
	42.1 Introduction
	42.2 Study Area and Methodology
		42.2.1 Study Area
		42.2.2 Data Used
	42.3 Methodology
	42.4 Results and Discussions
	References
43 Assessment of the Relationship Between Rainfall Trend and Flood Impact: A Case Study of Tinsukia District, Assam
	43.1 Introduction
	43.2 Research Methodology
		43.2.1 Collection of Data and Pre-processing
		43.2.2 Flood Impact Indicator Variables
	43.3 Results and Discussion
	43.4 Conclusions
	References
44 Learning Deep Features and Classification for Fresh or off Vegetables to Prevent Food Wastage Using Machine Learning Algorithms
	44.1 Introduction
		44.1.1 YOLOv4
		44.1.2 YOLOv3
	44.2 Related Work
	44.3 Proposed Method
		44.3.1 Data Accumulation and Annotation
		44.3.2 Methodology
	44.4 Results and Analysis
		44.4.1 YOLOv3 Results
		44.4.2 YOLOv4 Results
		44.4.3 Analysis
	44.5 Conclusion
	References
45 Secure Trust Level Routing in Delay-Tolerant Network with Node Categorization Technique
	45.1 Introduction
	45.2 Related Works
	45.3 Proposed Methodology
	45.4 Results and Discussion
	45.5 Conclusion
	References
46 Predicting the Trends of COVID-19 Cases Using LSTM, GRU and RNN in India
	46.1 Introduction
	46.2 Literature Review
	46.3 Proposed Methodology
	46.4 Experimental Analysis
		46.4.1 Dataset Description
		46.4.2 Gated Recurrent Units
		46.4.3 Long Short-Term Memory
		46.4.4 Recurrent Neural Network
	46.5 Experimental Analysis
	46.6 Conclusion and Future Scope
	46.7 Declaration
	References
47 Biogeography-Based Optimization
	47.1 Introduction
	47.2 Proposed Method
	47.3 Simulation Results
	47.4 Conclusion
	References
48 Novel Sentiment Analysis Model with Modern Bio-NLP Techniques Over Chronic Diseases
	48.1 Introduction
		48.1.1 Origin of the Problem
		48.1.2 Problem Statement
		48.1.3 Applications
	48.2 Review of Literature
		48.2.1 Existing Solutions
		48.2.2 Summary of Literature Study
	48.3 Proposed Method
		48.3.1 Design Methodology
		48.3.2 System Architecture Diagram
		48.3.3 Description of Dataset
	48.4 Results and Observations
		48.4.1 Step-Wise Description of Results
		48.4.2 Testcase Results
		48.4.3 Observations from the Work
	48.5 Results and Observations
		48.5.1 Conclusion
		48.5.2 Future Work
	References
49 Medical Diagnosis for Incomplete and Imbalanced Data
	49.1 Introduction
	49.2 Literature Survey
	49.3 Proposed Architecture and Methodology
		49.3.1 Proposed Architecture
		49.3.2 Proposed Methodology
	49.4 Experimental Investigations
		49.4.1 Dataset
		49.4.2 Discussion on Results
	49.5 Conclusion
	References
50 SafeXAI: Explainable AI to Detect Adversarial Attacks in Electronic Medical Records
	50.1 Introduction
	50.2 Literature Survey
	50.3 Proposed Methodology
		50.3.1 Dataset Collection
		50.3.2 Model Building
		50.3.3 Adversarial Attacks
		50.3.4 Working of CW Attack
	50.4 Handling Adversarial Attacks
		50.4.1 Local Interpretable Model-Agnostic Explanations(LIME)
	50.5 Conclusion and Future Work
	References
51 Exploring Historical Stock Price Movement from News Articles Using Knowledge Graphs and Unsupervised Learning
	51.1 Introduction
	51.2 Related Work
	51.3 Proposed Methodology
		51.3.1 Research Architecture
		51.3.2 Data Information
		51.3.3 Data Preprocessing
	51.4 Implementation
	51.5 Results
	51.6 Conclusion and Future Work
	References
52 Comparative Study of Classical and Quantum Cryptographic Techniques Using QKD Simulator
	52.1 Cryptography
	52.2 Quantum Cryptography
		52.2.1 Quantum Mechanics and Its Properties
		52.2.2 Quantum Cryptographic Constructions
	52.3 Motivation and Background Study
	52.4 Proposed System
	52.5 Results
	52.6 Conclusion
	References
53 A Novel Approach to Encrypt the Data Using DWT and Histogram Feature
	53.1 Introduction
	53.2 Literature Survey
	53.3 Methodology
		53.3.1 Pre-processing
		53.3.2 DWT (Discrete Wavelet Transform)
		53.3.3 Image Histogram
		53.3.4 Histogram Shifting and Data Hiding
		53.3.5 Extraction Steps
	53.4 Experiment
	53.5 Result
	53.6 Conclusion
	References
54 Auto-generation of Smart Contracts from a Domain-Specific XML-Based Language
	54.1 Introduction
	54.2 Motivating Example and Preliminaries
		54.2.1 Running Case
		54.2.2 Preliminaries
	54.3 SLCML: A Contract-Specification Language
	54.4 Patterns and Transformation Rules
	54.5 Feasibility Evaluation
	54.6 Related Work
	54.7 Conclusion
	References
Author Index