Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 70)

✍ Scribed by Neha Sharma (editor), Amlan Chakrabarti (editor), Valentina Emilia Balas (editor), Alfred M. Bruckstein (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 453
• Category: Library

✦ Synopsis

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

✦ Table of Contents

Preface
Contents
About the Editors
Track I
Verification, Validation and Evaluation of Medicinal Prescription System
1 Introduction
2 Literature Review
2.1 Verification and Validation
2.2 Rule-Base Refinement
2.3 Evaluation
3 Methods of Assessment of MPS
3.1 Description of Proposed MPS
3.2 Validation of Proposed MPS
3.3 Validation of Proposed MPS Using Tools
3.4 System Validation
3.5 Verification of MPSAT
3.6 Evaluation of MPSAT
4 Findings
5 Conclusion
References
Creation of Knowledge Graph for Client Complaint Management System
1 Introduction
2 Design and Process Flow
3 Implementation Details/Methodology
4 Result: Creation of Knowledge Graph
5 Conclusion and Future Work
References
Automation of Bid Proposal Preparation Through AI Smart Assistant
1 Introduction
2 Historical Background
3 Problem Definition
3.1 Bid/No-Bid Decision
3.2 Go/No-Go Decision
3.3 Preparation and Submission of Bid Proposal
4 Proposed Solution
5 Solution Implementation
5.1 Attributes Extraction Process
5.2 Team-Wise Tender Contents Extraction Process
5.3 Closest Tender/Bid Extraction and Bid Recommendations Process
6 Results and Comparison with Benchmarks
7 Conclusion and Future Direction
References
A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis
1 Introduction
2 Head and Neck Cancer
3 Radiomics in Cancer Prediction
4 Prediction in Head and Neck Cancer Using Machine Learning
4.1 Traditional ML Algorithms for Head and Neck Cancer Prediction
4.2 Models Using CNN for Feature Extraction
4.3 Models Based on Fully Convolutional Neural Network
5 Analysis
6 Conclusion
References
Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case Study of Kabini Reservoir
1 Introduction
2 Literature Survey
3 Study Area and Materials
4 Methodology
4.1 Classification Algorithms
4.2 Normalized Difference Vegetation Index
4.3 Normalized Difference Water Index
4.4 Normalized Difference Built-Up Index
4.5 Jaccard Correlation Coefficient
4.6 Overall Accuracy (OA), User and Producer Accuracy (UA, PA) and Kappa
5 Results
6 Discussion of the Results
7 Conclusion
References
Optimizing the Reliability of a Bank with Logistic Regression and Particle Swarm Optimization
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Particle Swarm Optimization (PSO)
3.2 Proposed Hybrid Methodology
4 Description of the Datasets
4.1 Datasets Description
5 Results and Discussion
6 Conclusion
References
Performance Evaluation of Classification Models for HIV/AIDS Dataset
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Data Source
3.2 Proposed Methodology
3.3 Machine Learning Models
3.4 Performance Evaluation
4 Experimental Result
4.1 Comparison with Recent Works
5 Conclusion
References
Impact of Clustering Algorithms in Catastrophe Management: A Task-Technology Appropriate Perspective
1 Introduction
2 Literature Review
2.1 Role of Technology in Catastrophe Management
2.2 Task-Technology Appropriate (TTA)
3 Catastrophe Management Scenario in India
4 Algorithms Used
4.1 Natural Language Processing
4.2 Clustering Algorithm (K-Means)
4.3 Mapbox API
4.4 Blockchain
5 Proposed Method
6 Results
6.1 Bringing All on the Same Page
6.2 Transparent Centralized Service
6.3 Innovation in Current Tech
6.4 We Create a New Service
7 Conclusion and Scope
References
Track II
Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models
1 Introduction
1.1 Importance of Agriculture and Crop Insect Identification
1.2 Status of the Present Research
1.3 Soybean Crops
1.4 Major Insects of Soybean Crops
2 Terminologies
2.1 Image Classification
2.2 Deep Learning
2.3 Convolutional Neural Network (CNN)
2.4 Optimizer
2.5 Accuracy
3 Methodology
3.1 Dataset
3.2 CNN Models Used
4 Experimental Setup and Results
4.1 Model-Wise Results
5 Mobile and Web Apps
5.1 Mobile and Web App
6 Conclusions
References
Writer-Independent Offline Signature Verification Using Deep Siamese Neural Network
1 Introduction
2 Related Work
3 Materials and Method
3.1 Preprocessing
3.2 Siamese Neural Network
3.3 Architecture
4 Experiments
4.1 Dataset
4.2 Experimental Protocol
4.3 Experimental Setup
4.4 Performance Evaluation
4.5 Results and Discussion
5 Conclusion
References
Automated Text and Tabular Data Extraction from Scanned Document Images
1 Introduction
2 Related Work/Survey of Literature
3 Proposed Work
3.1 Input Files
3.2 Preprocessing
3.3 Content Extraction
3.4 Output Generation
4 Results and Conclusion
References
Detection of Moving Objects in a Metro Rail CCTV Video Using YOLO Object Detection Models
1 Introduction
2 Background
2.1 Detection
2.2 Object Tracking
2.3 YOLO
2.4 Convolutional Neural Network
2.5 Classification and Prediction
3 Literature Survey
3.1 You Only Look Once
3.2 Vehicle Counting for Traffic Management System Using YOLO and Correlation Filter
3.3 Object Detection in Sports Videos
4 Proposed System
5 Results and Discussions
6 Conclusion
7 Future Works
References
Literature Survey: Sign Language Recognition Using Gesture Recognition and Natural Language Processing
1 Introduction
2 Literature Survey
2.1 Gesture Recognition
2.2 Natural Language Processing
3 Discussion and Summary
4 Conclusion and Future Scope
References
Application of Deep Learning Techniques on Sign Language Recognition—A Survey
1 Introduction
2 Literature Survey
2.1 Hidden Markov Model
2.2 Artificial Neural Network
2.3 Convolutional Neural Network
2.4 Recurrent Neural Network
2.5 Long Short Term Memory
2.6 Other Methods and Dataset Ideas
3 Discussion
4 Conclusion and Future Scope
References
Modelling of Surface Roughness Using ANN and Correlation with Acoustic Emission Signals in Turning of AISI 303 Steel
1 Introduction
2 Experimental Work
3 Results and Discussion
3.1 Analysis of Surface Roughness
3.2 Analysis of AE Signals
3.3 Analysis of AE Absolute Energy
3.4 Analysis of Workpiece Surface Images
4 Experimental Verification and Discussion
5 Conclusions
References
Optimum Dataset Size for Ayurvedic Plant Leaf Recognition Using Convolution Neural Networks
1 Introduction
2 Recent Literature Survey
3 Ayurvedic Plant Leaf Image Dataset
4 Experiment Setup and CNN Model
5 Discussion of Test Results
6 Conclusion
References
Track III
OTA and IoT Influence the Room Occupancy of a Hotel
1 Introduction
2 Internet of Thing (IoT) in Hotel Industry
3 OTA for Hotel Occupancy
4 Materials and Methods
5 Results
6 Correlations for Knowing Roomy Occupancy Source
7 Linear Regression
8 Conclusion
References
Shortest Distance Lattice Cryptographic Algorithm for Data Points Using Quantum Processors
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Encryption System
3.2 Dependent Clusters
3.3 Regrouping Clusters
3.4 Matrix Formation
3.5 Data Vector
3.6 Criteria for Matrix Formation
3.7 Encryption Module
3.8 Decryption Module
3.9 Example
3.10 Algorithm
4 Simulation Results
4.1 Processing Time
5 Conclusion
6 Future Work
References
Exploring the Correlation Between Green Cover and Air Pollution by Data Democratization: A Case Study
1 Introduction
2 Materials and Methods
3 Preliminary Analysis
4 Exploring the Trends with Respect to Time
5 Correlations
6 Results
7 Limitations of the Study
8 Discussion and Conclusion
References
Supply Chain Management During the Time of Pandemic
1 Introduction
1.1 What Are Decentralized Supply Chains?
2 Literature Review
3 Framework
3.1 Structure of Framework
4 Technologies Used
5 Quality Assurance
6 Salient Features
7 Conclusion
References
Augmented Reality Based Supply Chain Management System
1 Introduction
2 Survey of Literature
3 Proposed Work
4 Result
4.1 Supply Chain Management Simplified
4.2 Response Time Reduced
4.3 Reduced Interdependancy
4.4 Training and Setup Costs Reduced
4.5 Contextually Intelligent Information Rendered Which Resulted in Greatly Reducing Misses/Negligence Cases
4.6 Improved User Experience
5 Conclusion
References
Devanagari Handwritten Word Recognition for Extended Character Set Using Segmented Character Strokes
1 Introduction
2 Related Work
2.1 Dataset Creation
2.2 Dataset Preparation
2.3 Data Preprocessing
2.4 Feature Extraction
2.5 Model Creation
2.6 Devanagari Recognition (Prediction of Character/Word)
3 Recognition Algorithm
4 Result
5 Conclusion
References
Digital Locker System for College or University Admissions Using Blockchain Technology
1 Introduction
2 Survey of Literature
3 Existing Procedures for Admission
4 Drawbacks of the Existing System
5 Proposed Work
5.1 Why to Use Blockchain Technology?
5.2 Asymmetric Cryptography
5.3 SHA-256
5.4 Digital Signatures
5.5 Smart Contracts
5.6 Distributed Ledger Technology (DLT)
6 Digital Identity System
7 Participants of the System
8 System Overview
8.1 Architecture
8.2 Working of the System
8.3 Technologies that Can Be Used for Implementation
9 Related Work
10 Future Scope of Enhancement
References
DietSN: A Body Sensor Network for Automatic Dietary Monitoring System
1 Introduction
2 Related Work
3 Proposed Body Sensor Network for Automated Dietary Monitoring System
3.1 Hardware Details of DietSN Prototype
4 Integrated Functionality of DietSN
5 Results
6 Conclusions
References
Track IV
Analyzing the Supply of Healthcare Human Resource and Infrastructure of India to Handle COVID-19 Cases and Building a Prediction Model
1 Introduction
2 Literature Review
3 Materials and Methods
4 Analysis
5 Predictions
6 Conclusion
References
Cognitive Computing Strengthen the Healthcare Domain
1 Introduction
2 Literature Review
3 Respiratory Epidemic
4 Data-Driven Framework
5 Respiratory Awareness System Framework
6 Cognitive Computing Process
7 Conclusion
References
An Alternative Approach to Propensity Score Matching Technique in Real-World Evidence
1 Introduction
2 Related Recent Work
3 Challenges While Working with Real-World Data
4 A Brief Discussion on Propensity Score Matching and Its Challenges
5 Recapitulation of a Relevant Property of Logistic Regression Estimates
6 Proposed Methodology
6.1 Sample Substitution Method
6.2 An Application of Sample Substitution Method and the Results
7 Applications in Non-Pharmaceutical Industries
8 Discussion
8.1 Limitations
9 Conclusions
References
Correlation Between Air Quality Index and COVID-19 Recovery Period in India
1 Introduction
2 Related Work
3 Data Collection and Preprocessing
3.1 Air Quality Index (AQI)
3.2 COVID-19 Recovery Period
4 Model Estimation
4.1 Model Development
4.2 Model Prediction
5 Outliers
6 Conclusion
References
An Analytical System: Data Modelling Practices for Handling an Epidemic
1 Introduction
2 Survey of Literature
3 The Proposed Work
4 Result Discussion
5 Conclusion
References
Author Index