Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021, Volume 2

Preface
Contents
About the Editors
Track I
Simulation of Lotka–Volterra Equations Using Differentiable Programming in Julia
	1 Introduction
	2 Dataset
	3 Approach Overview
	4 Results
	5 Conclusion
	References
Feature Selection Strategy for Multi-residents Behavior Analysis in Smart Home Environment
	1 Introduction
	2 Related Work
	3 Methods
		3.1 ARAS Datasets
		3.2 Performance Measurements
		3.3 Machine Learning Algorithms
		3.4 Feature Selection Methods
	4 Experimental Results and Discussions
		4.1 Experimental Results
		4.2 Experimental Discussions
	5 Conclusion
	References
A Comparative Study on Self-learning Techniques for Securing Digital Devices
	1 Introduction
	2 Intrusion Detection System
		2.1 Types of IDS Technologies
		2.2 Intrusion Detection Techniques
	3 Machine Learning in IDS
		3.1 Classification
		3.2 Regression and Clustering
		3.3 Deep Learning
		3.4 Genetic Algorithms
		3.5 Neural Networks and Fuzzy Logic
	4 Datasets
		4.1 KDD Cup 99 Dataset
		4.2 NSL-KDD Dataset
		4.3 Exploit Database (Exploitdb)
		4.4 CICIDS2017 Dataset
	5 Results and Discussion
	6 Future Work
	7 Conclusion
	References
An Intelligent, Geo-replication, Energy-Efficient BAN Routing Algorithm Under Framework of Machine Learning and Cloud Computing
	1 Introduction
	2 Proposed Algorithm
	3 Result Analysis and Discussion
	4 Conclusion
	References
New Credibilistic Real Option Model Based on the Pessimism-Optimism Character of a Decision-Maker
	1 Introduction
	2 Preliminaries
	3 The Expected Value and the Weight Component
		3.1 The Credibilistic Expected Value with Respect to the mλ-Measure
		3.2 The Center-Of-Gravity Expected Value and the Weight Component
	4 Numerical Example: Valuing M&A Synergies
	5 Conclusions
	References
Analysis of Road Accidents in India and Prediction of Accident Severity
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Decision Tree
	4 Result Analysis
		4.1 Road Accidents in India (2000 to 2017)
		4.2 Black Spots in 2013 and 2014
		4.3 Road Accidents in 2017 and 2018
		4.4 Maps
	5 Prediction Model
		5.1 Dataset
		5.2 Proposed Model
		5.3 Results and Performance
	6 Conclusion
	References
Mining Opinion Features and Sentiment Analysis with Synonymy Aspects
	1 Introduction
	2 Related Works
	3 Proposed Algorithm
		3.1 Feature Generation
		3.2 Sentiment Analysis
	4 Methodology and Methods
		4.1 Data Collection
		4.2 Feature Generation
		4.3 Model Architecture
	5 Result and Discussion
		5.1 Aspect Generation
		5.2 Sentiment Analysis
	6 Conclusion
	References
Understanding Employee Attrition Using Machine Learning Techniques
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Feature Engineering
	5 Result and Discussion
	6 Conclusion
	References
Track II
Fake News Detection: Experiments and Approaches Beyond Linguistic Features
	1 Introduction
	2 Related Work
		2.1 What Is Fake News?
		2.2 Challenges Encountered in Fake News Detection
		2.3 Existing Datasets
		2.4 Classification Methods
		2.5 Evaluation Metrics
	3 Description of Datasets Used
	4 Experiments and Results
		4.1 Regression Model
		4.2 Siamese Network with BERT
		4.3 Sequence Model
		4.4 Enhanced Sequence Model
		4.5 Sequence Model on FakeNewsNet
		4.6 Convolutional Model for Linguistic and Visual Features
	5 Conclusion
	References
Object Recognition and Classification for Robotics Using Virtualization and AI Acceleration on Cloud and Edge
	1 Introduction
	2 Literature Survey
		2.1 YOLO
		2.2 Cyber Foraging and Cloudlets
		2.3 Intel OpenVINO
		2.4 Gabriel Cloud and VM
		2.5 Raspberry Pi and Camera Module
	3 Methodology
		3.1 Preparation
		3.2 Implementation Considerations
		3.3 Stages of Implementation
	4 Results
	5 Discussion
	6 Conclusion
	References
Neural Networks Application in Predicting Stock Price of Banking Sector Companies: A Case Study Analysis of ICICI Bank
	1 Introduction
		1.1 Neural Networks
	2 Objective of the Study
	3 Review of Literature
		3.1 Banking Sector
	4 Hypothesis of the Study
	5 Scope of the Study
	6 Limitations of the Study
	7 Research Methodology of the Study
	8 Sources and Methods
	9 Data Analysis
	10 Findings and Suggestions of the Study
	11 Conclusions and Suggestions of the Study
	References
Epilepsy Seizure Classification Using One-Dimensional Convolutional Neural Networks
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Flow Design
		3.2 Dataset
		3.3 Evaluation Metrics
		3.4 Training Model
		3.5 Inception
		3.6 ResNet
	4 Experimental Results
		4.1 Results Obtained
		4.2 Results Compared to Machine Learning Techniques
		4.3 Results Compared to Deep Learning Techniques
	5 Conclusion and Future Scope
	References
Syntactic and Semantic Knowledge-Aware Paraphrase Detection for Clinical Data
	1 Introduction
	2 Related Works
	3 Proposed Knowledge-Aware Paraphrase Detection Model
		3.1 Output Layer
		3.2 Similarity Detection Using Knowledge Base
	4 Experimental Set-Up
		4.1 Results and Discussions
	5 Conclusion
	References
Enhanced Behavioral Cloning-Based Self-driving Car Using Transfer Learning
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Network Pruning Using 1times1 Filter
		3.2 Transfer Learning
	4 Dataset Description and Preprocessing
	5 Experimental Results
	6 Conclusion
	References
Early Detection of Parkinson’s Disease Using Computer Vision
	1 Introduction
	2 Dataset
	3 Literature Review
		3.1 Algorithms
		3.2 Data Collection
		3.3 Methodology
		3.4 Analysis
	4 Implementation
	5 Results
	6 Conclusion
	References
Sense the Pulse: A Customized NLP-Based Analytical Platform for Large Organization—A Data Maturity Journey at TCS
	1 Introduction
	2 Literature Review Summary
	3 Solution Delivered
		3.1 Data
		3.2 Technology
		3.3 Process
		3.4 People
	4 Results and Analysis
	5 Non-functional Requirements
	6 Conclusion
	References
Track III
Fact-Finding Knowledge-Aware Search Engine
	1 Introduction
	2 Related Work
	3 Problem Statement
	4 System Overview
	5 Methodology
		5.1 Data
		5.2 Data Distiller
		5.3 Document Search Engine
		5.4 Knowledge Graph
	6 Why Search Engine and Graph Need to Be Used Together?
	7 Ranking and Evaluation
	8 Conclusion
	9 Future Work
	References
Automated Data Quality Mechanism and Analysis of Meteorological Data Obtained from Wind-Monitoring Stations of India
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Flagging Mechanism
		3.2 Automated QC Procedure
	4 Primary Checks
		4.1 Chronological Sorting and Handling of Duplicate Records
		4.2 Handling Missing Data
		4.3 Standardization of Data Type
	5 Internal Consistency Tests
		5.1 Physical Limit Test
		5.2 Gradient Test
		5.3 Deviation Test
	6 Relational Consistency Tests
		6.1 Consistency Between Wind Speeds at Different Levels
		6.2 Storage and Extraction of QC Data
	7 Analysis and Discussion
		7.1 Interdependency of Sensors at Different Levels
		7.2 Interdependency of Sensors at Same Level
		7.3 Effect of Outliers
	8 Results
	9 Conclusion
	References
Efficient and Secure Storage for Renewable Energy Resource Data Using Parquet for Data Analytics
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Different File Storage Formats
		3.2 Dataset Description
	4 Results and Discussion
	5 Conclusion and Future Work
	References
Data Processing and Analytics for National Security Intelligence: An Overview
	1 Introduction
	2 Intelligence in the Context of National Security
	3 Intelligence in the context of external threats
		3.1 ELINT Receivers
		3.2 Processing in ELINT Receivers
		3.3 Data Processing Techniques
	4 Intelligence in the Context of Internal Threats
		4.1 Asymmetric Warfare
		4.2 Open-Source Intelligence (OSINT)
		4.3 Data Processing of OSINT
	5 Intelligence Derived from Multiple Sensors
		5.1 Data Processing in Multiple Sensor Environment
		5.2 Geolocation Accuracy
	6 Conclusions
	References
Framework of EcomTDMA for Transactional Data Mining Using Frequent Item Set for E-Commerce Application
	1 Introduction
	2 Literature Survey
	3 Results and Findings
		3.1 Existing System Structure
		3.2 Proposed System Framework
		3.3 EcomTDMA for Hash Base Frequent Item Set Mining
	4 Conclusion
	5 Future Scope
	References
Track IV
A Survey on Energy-Efficient Task Offloading and Virtual Machine Migration for Mobile Edge Computation
	1 Introduction
	2 Literature Survey
		2.1 Energy Efficiency
		2.2 Energy Efficiency and Latency
		2.3 Trade-Off Between Energy Efficiency and Latency
		2.4 Virtual Machine Migration
	3 Proposed Work
	4 Conclusion
	References
Quantitative Study on Barriers of Adopting Big Data Analytics for UK and Eire SMEs
	1 Introduction
	2 Literature Review
	3 Proposed Work
		3.1 Research Design
		3.2 Questionnaire Design
		3.3 Population and Sample of the Study
		3.4 Administration and Distribution of the Questionnaire
	4 Result
		4.1 Data Analysis
		4.2 Initial Analysis
		4.3 Associations Between Demographics and Understanding of Big Data Analytics
		4.4 Barriers to Big Data Analytics
		4.5 Cronbach’s Alpha
		4.6 Framework Refinement
		4.7 Limitations
	5 Conclusion
	Appendix 1: Flow chart of the Number of Responses Included in the Analysis
	Appendix 2: Demographics
	Appendix 3: Significance Testing
	Appendix 4: Cronbach's Alpha Test on the Five Pillars of the Big Data Analytics Strategic Framework for SMEs
	References
Post-quantum Cryptography
	1 Introduction
	2 Literature Review
		2.1 Classical Cryptosystems
		2.2 Simon's Periodicity Algorithm
		2.3 Shor's Algorithm
		2.4 The Fallacy of the Classical Cryptosystems and the Advent of a Quantum Computer
		2.5 Post-quantum Cryptosystems
		2.6 Signature Schemes
		2.7 Attacks on Signature Scheme
		2.8 Hash Function
		2.9 One-Time Signature Scheme
		2.10 Merkle Static Tree
		2.11 Advantage of Using Hashed-Based Signature Scheme
		2.12 Comparison Between Quantum Cryptography and Post-quantum Cryptography: Quantum Key Distribution
	3 Conclusion
	References
A Comprehensive Study of Security Attack on VANET
	1 Introduction
	2 VANET Overview
		2.1 VANET Architecture
		2.2 VANET Model Overview
		2.3 VANET Characteristics
		2.4 VANET Communication Standards
		2.5 Types of VANET Communication
	3 Routing Protocols
	4 Challenges and Security Attacks
		4.1 Classification of Attackers
		4.2 Classification of Attacks
	5 Overview of Jamming Attack
		5.1 Effectiveness of Jamming
	6 Related Works
	7 Conclusion
	References
Developing Business-Business Private Block-Chain Smart Contracts Using Hyper-Ledger Fabric for Security, Privacy and Transparency in Supply Chain
	1 Introduction
		1.1 Smart-Contracts (SC) for B2B
		1.2 Hyper-Ledger Fabric (HF)
		1.3 Problem Formulation
		1.4 Methodology
	2 Implementation
	3 Sample of Screen Shots
	4 Conclusion
	References
Data-Driven Frameworks for System Identification of a Steam Generator
	1 Introduction
	2 Methodology
		2.1 Ranking of Variable
		2.2 Multiple Linear Regression
		2.3 Multi-layer Perceptron Model
	3 Case Study
		3.1 Boiler Pilot Plant Configuration
		3.2 System Identification
		3.3 Model Identification
	4 Conclusion
	References
Track V
An Efficient Obstacle Detection Scheme for Low-Altitude UAVs Using Google Maps
	1 Introduction
		1.1 Unmanned Aerial Vehicles
		1.2 Obstacle Detection in UAVs
		1.3 Limitations of Live Analysis Techniques
		1.4 Proposed Approach
		1.5 Contribution of this Paper
		1.6 Organisation of the Paper
	2 Related Work
	3 Experiment and Results
		3.1 Considerations
		3.2 Definitions
		3.3 Simulation Environment
		3.4 Proposed Methodology
		3.5 Set Initial Mission
		3.6 Get Map
		3.7 Image Preprocessing
		3.8 Segmentation
		3.9 Modifying Mission
	4 Observations
	5 Conclusions and Future Scope
	References
Estimating Authors’ Research Impact Using PageRank Algorithm
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 PageRank Calculation of a Research Paper
		3.3 Calculating Authors’ Impact
	4 Results and Analysis
		4.1 Top-20 Papers Based on Their PageRank Values
		4.2 Top-30 Authors Based on PageRank Values
		4.3 Top-30 Authors Based on Citation Counts
		4.4 Relation Between Authors’ Cumulative Citation Counts and Cumulative PageRank
		4.5 Comparing PageRank-Based Author Impact with h-index
	5 Conclusions and Further Scope
	References
Research Misconduct and Citation Gaming: A Critical Review on Characterization and Recent Trends of Research Manipulation
	1 Introduction
	2 Characterization: Types of Possible Research Misconduct
		2.1 Citation Malpractices
		2.2 Detection of Plagiarism
		2.3 Figure or Image Manipulation
		2.4 Honorary or Ghost Authorship
		2.5 Biases in Peer-Review Process
	3 Future Scope of Study: How Computational Intelligence, Data Science, and Analytics Can Help?
	References
Dynamic Price Prediction of Agricultural Produce for E-Commerce Business Model: A Linear Regression Model
	1 Introduction
	2 Literature Review
	3 Motivation of the Work
	4 Materials and Method
		4.1 Linear Regression
		4.2 Outliers Detection
	5 Result and Discussion
	6 Conclusion and Future Work
	References
Real-Time Facial Recognition Using SURF-FAST
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Pre-Processing
		3.2 Training
		3.3 Face Identification on Real-Time Video
	4 Experiment
	5 Conclusion
	6 Future Work
	References
Microblog Analysis with Machine Learning for Indic Languages: A Quick Survey
	1 Introduction
	2 Machine Learning Overview
	3 Microblog Analysis Stages
		3.1 Collection of Tweets
		3.2 Pre-processing of Tweets
		3.3 Language Identification
		3.4 Topic Modelling/Classification
		3.5 Opinion Mining
	4 Conclusion and Future Direction
	References
Author Index