Proceedings of ICETIT 2019

Name: Proceedings of ICETIT 2019 | Emerging Trends in Information Technology
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Emerging Trends in Information Technology

Pradeep Kumar Singh Bijaya Ketan Panigrahi Nagender Kumar Suryadevara Sudhir Kumar Sharma Amit Prakash Singh(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 23. September 2019

XXVII, 1144 Seiten

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Inhalt

Intro
Preface
ICETIT 2019 Committee
Chief Patron
Patron
General Chair
Honorary Chair(s)
Program Chairs
Publication Chairs
Technical Advisory Committee
Convener
Publicity Chair
Finance Chair
Co-convener
International Advisory Committee
National Advisory Committee
Technical Program Committee
Internal Organizing Committee
Publication Committee
Conference Track Management Committee
Stage Committee
Reception and Registration Committee
Sponsorship Committee
Exhibition Committee
Transport and Accommodation Committee
Hospitality Committee
Certificates and Printing Committee
Anchoring Committee
Decoration and Cultural Committee
Repertoire Committee and Media Coverage (Press) and Discipline Committee
Website Management Committee
Contents
Internet of Everything and Network Technologies
Kitchen Genie: An Intelligent Internet of Things System for Household Inventory Management
Abstract
1 Introduction
2 Methods
2.1 Radio Frequency Identification (RFID) Tags and Readers
2.2 System-on-Chip [15]
2.3 Visual Studio .NET and C#
2.4 Serialization
2.5 Multithreading
2.6 Infrared Cameras
3 Specification and System Design
3.1 Display Device
4 Specification and System Design
4.1 Class Description
4.2 Display Device
5 Testing
5.1 Server Testing
5.2 Display Device Testing
6 Conclusion
References
Secure Location-Based Aggregator Node Selection Scheme in Wireless Sensor Networks
Abstract
1 Introduction
2 Related Work
3 System Model and Security Model
3.1 System Model
4 Threat Model
5 Proposed Scheme
5.1 Aggregator Node Selection
5.2 Secure Data Aggregation
6 Results and Discussions
7 Security Analysis
7.1 Computation and Communication Overhead
7.2 Energy Consumption
8 Conclusion
References
Energy Aware Clustering Based Mobility Model for FANETs
Abstract
1 Introduction
2 Related Work
3 System Model
4 Proposed Scheme
5 Simulation and Results
5.1 Simulation Environment Setup
5.2 Performance Metrics
5.3 Results and Discussion
6 Conclusion
References
Clustering-Based Technique to Defend DDoS Attacks in Mobile Ad Hoc Networks
Abstract
1 Introduction
2 Related Work
3 DDoS Attack in MANETs
4 Clustering in MANETs
4.1 Formation of Clusters
4.2 Selection of Cluster Head
4.3 Clustering Algorithm
5 Clustering Based DDoS Defense Scheme
6 Experimentation
7 Performance Analysis
7.1 Throughput
7.2 End-to-End (EtoE) Delay
7.3 Packet Delivery Ratio (PDR)
8 Conclusions
References
Fog Computing in IOT: An Overview of New Opportunities
Abstract
1 Introduction
2 The Architecture of Fog Computing
3 Characteristics of Fog Computing
3.1 Low Latency and Real-Time Interactions
3.2 Save Bandwidth
3.3 Support for Mobility
3.4 Heterogeneity
3.5 Geographical Distribution and Decentralized Data Analytic
3.6 Interoperability
3.7 Consuming Low Energy
3.8 Privacy Protection and Data Security
4 Fog and Iot
5 Conclusion
References
Performance of Routing Protocols in Different WANET's Terrain Size with Reference of Channel Capacity
Abstract
1 Introduction
1.1 Routing Protocols
2 Literature Review
3 Methodology and Performance Matrices
3.1 Simulation Setup
3.2 Performance Metrics
4 Results and Discussion
4.1 Average Jitter(S)
4.2 Average End- to-End Delay(S)
4.3 Average Throughput (Bits/s)
5 Conclusion
Appendix
References
An Efficient File Locking Algorithm for Multi-processor Systems Using Round Robin Delegation Method
Abstract
1 Introduction
2 Related Works
2.1 Mutual Exclusion (Mutex)
2.2 Various Locking Algorithms in Linux
2.3 Mellor-Crummey and Scott Lock (MCS)
2.4 Detached Execution
2.5 Delegation Algorithms
3 Round Robin Delegation Locking
3.1 Algorithm
4 Experiments and Results
5 Conclusion
References
A Proposed Buffer Based Load Balanced Optical Switch with AO-NACK Scheme in Modern Optical Datacenters
Abstract
1 Introduction
2 Related Work
3 The Proposed Switch Design
4 Performance Evaluation of Optical Switch
4.1 Physical Layer Analysis of the Switch
4.2 Network Layer Analysis of the Switch
5 Conclusions
References
Analysis of Scalability for Hierarchical Routing Protocols in Wireless Sensor Networks
1 Introduction
2 Related Work
3 System Model
4 Problem Statement
5 Simulation Environment
6 Conclusion
References
Prediction Model for Personal Thermal Comfort for Naturally Ventilated Smart Buildings
Abstract
1 Introduction
2 Related Work
3 Research Methodology
3.1 Data Collection and Pre-processing
3.2 Features Selection Methods Used
3.3 Used Machine Learning Algorithms
4 Results and Discussion
5 Conclusion
References
An Improved Hierarchical Clustering Method for Mobile Wireless Sensor Network Using Type-2 Fuzzy Logic
Abstract
1 Introduction
2 Related Works
3 Energy Consumption Model
4 Mobility Model: Random Waypoint Model (RWP)
5 LEACH-MT2FL Description
5.1 System Assumption
5.2 Algorithm of LEACH-MT2FL
5.3 LEACH - MT2FL Model
5.4 Rule Base LEACH-MT2FL
6 Simulation Results
7 Conclusion
References
An Improved Algorithm for Data Gathering in Large-Scale Wireless Sensor Networks
Abstract
1 Introduction
2 Related Work
3 Improved Big Data Efficient Gathering (I-BDEG) Algorithm
3.1 Clustering Problem
3.2 Proposed Network Model
3.3 Overview of the Proposed Algorithm
4 Simulation Results
5 Conclusions and Future Scope
References
An Efficient and Scalable Distributed Key Management Scheme Using Ternary Tree for Secure Communication in Dynamic Groups
Abstract
1 Introduction
2 Related Work
3 EDKMS Protocol
3.1 Group Initialization
3.2 Members Join
3.3 Members Leave
3.4 Massively Join/Leave
4 Security and Performance Analysis
4.1 Security Analysis
4.2 Performance Analysis
5 Experimental Results
6 Conclusion
References
Intelligent Trash Bin Management System - Initial Design and Implementation
1 Introduction
2 State of the Art
3 Proposed Approach
3.1 The Prototype of the Smart Waste Bin
3.2 Database
3.3 Server
3.4 The Web Application
3.5 Simulator
4 Generating Services Collection Routes
4.1 Routes Calculation Scheme
5 Concluding Remarks
References
Artificial Intelligence and Machine Learning
Feature Selection Technique for Effective Software Effort Estimation Using Multi-Layer Perceptrons
Abstract
1 Introduction
2 Experimental Set-up
2.1 Dataset Used
2.2 Technique Used
2.3 Evaluation Criteria
3 Experimental Results and Discussion
4 Conclusions
References
L1-Norm Support Vector Regression in Primal Based on Huber Loss Function
Abstract
1 Introduction
2 Related Works
3 Proposed Robust Huber SVR Model via 1-Norm Regularization
4 Numerical Experiments
4.1 Synthetic Data Sets
4.2 Real-World Data Sets
5 Conclusions
References
A Review of Research of Object Detection Area: Current and Future Trends
Abstract
1 Introduction
2 Research Review
3 Object Detection Methods
3.1 Feature Based Object Detection
3.2 Template Based Object Detection
3.3 Motion Information Based Object Detection
3.4 Deep Learning Based Object Detection
3.5 Image Processing Architectures
4 Current Research Problems
4.1 Multi Class
4.2 Multi-viewpoint and Resolution
4.3 Contextual Information and Changing Features
4.4 Image Inconsistencies and Background
4.5 Computational Power
4.6 Localizing Small Objects
5 Future Directions
5.1 Active Vision
5.2 Object Segment Relation
5.3 Multi-modal Detection
5.4 Segmentation and Background Objects
5.5 Data Fusion
5.6 Optimize Deep Learning Models
5.7 End-to-End Applications
5.8 New Object Categories
6 Conclusion
References
Test Case Minimization in COTS Methodology Using Genetic Algorithm: A Modified Approach
Abstract
1 Introduction
2 Related Work
3 Proposed Technique
3.1 Why Fitness Scaling Used with GA
3.2 Proposed Algorithm
3.3 Input to the Algorithm
3.4 Steps Involved in Minimization of Test Cases Using GA with Fitness Scaling
4 Results and Discussion
5 Conclusion
References
Automatic Text Summarization Techniques Used in Industry
Abstract
1 Introduction
2 Existing Work
3 Issues and Challenges
4 Techniques and Approaches
4.1 Extraction Based Summarization
4.2 Abstract Summarization
4.3 Sentence Fusion and Compression
5 Conclusion
References
Crime Prediction Application Using Artificial Intelligence
Abstract
1 Introduction
2 Related Work
2.1 Classification Algorithms
2.2 Neural Network Based Prediction
3 Methodology
3.1 Naive Bayes Implementation
3.2 Relationship of Crime Types
4 Experimental Results
5 Conclusion
References
Sentiment Analysis Using Fuzzy-Deep Learning
Abstract
1 Introduction
2 Related Work
3 Basic Concepts: LSTM and Fuzzy Logic
3.1 LSTM
3.2 Fuzzy Logic
4 Proposed Approach
4.1 Embedding Layer
4.2 Fuzzification and Defuzzification Layers
4.2.1 Fuzzification Layer
4.2.2 Defuzzification Layer
5 Experiments and Results
5.1 Experimental Setup
5.2 Results and Discussions
5.2.1 50 Percent Split
5.2.2 K-Fold Cross Validation
6 Conclusion
References
Towards Designing and Performance Analysis of Evolving Higher Order Neural Networks for Modeling and Forecasting Exchange Rate Time Series Data
Abstract
1 Introduction
2 Methods and Methodologies
2.1 Pi-Sigma Neural Network
2.2 Genetic Algorithm
2.3 Particle Swarm Optimization
2.4 Differential Evolution
3 Evolving Higher Order Neural Network
4 Model Evaluation and Result Analysis
5 Conclusions
References
SMT Algorithms for Indian Languages - A Case Study of Moses and MT Hub for English-Maithili Language Pair
Abstract
1 Introduction
2 Literature Survey
3 Introduction to Moses and Microsoft Translator Hub
4 Development of Linguistic Resources for EMMT
5 Training
6 Testing and Evaluation
7 Conclusion and Future Work
References
Real-Time Driver Distraction Detection System Using Convolutional Neural Networks
Abstract
1 Introduction
2 Related Work
3 Real-Time Detection System of Driver Distraction
4 Dataset Description
5 Results
6 Conclusion and Future Work
References
Brain Tumor Detection Using Manifold Ranking in FLAIR MRI
1 Introduction
2 Proposed Method
2.1 Preprocessing
2.2 Simple Linear Iterative Clustering (SLIC)
2.3 Manifold Ranking
2.4 Tumor Detection
3 Experimental Results
3.1 Dataset
3.2 Qualitative Evaluation
3.3 Quantitative Evaluation
3.4 Discussion
4 Conclusion
References
A Convolution Neural Networks Based Character and Word Recognition System for Similar Script Languages Kannada and Telugu
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
4 Results and Discussions
5 Conclusion
References
Music Emotion Recognition with the Extraction of Audio Features Using Machine Learning Approaches
Abstract
1 Introduction
2 Literature Review
2.1 Music and Emotion
2.2 Emotion Model
2.3 Features Extraction
2.4 Machine Learning Approaches
3 Methodology
3.1 Music Features
3.2 Emotion Model
3.3 Data Labeling
4 Experiment and Results
4.1 Feature Ranking
4.2 Confusion Matrices
4.3 Comparison of Classifier Accuracies
5 Future Work and Limitations
6 Conclusion
References
Flux Optimization of DTC Based Induction Motor Drive Using Recurrent Neural Network
Abstract
1 Introduction
2 Basic Principle of Direct Torque Control
3 Proposed Flux Controller Using RNN
3.1 Recurrent Neural Networks
3.2 Recurrent Neural Network Based DTC Motor Drives
3.3 Proposed Method
4 Performance of Proposed Recurrent Neural Network Based DTC Model
5 Results and Discussion
6 Conclusion
References
Intelligent Sequence Optimization Method for Hole Making Operations in 2M Production Line
Abstract
1 Introduction
2 Problem Statement
2.1 Description
3 Travel Salesman Problem (TSP)
3.1 Modified TSP
4 Proposed Genetic Algorithm for 2M Optimization
4.1 Genetic Algorithm
4.2 GA Parameters
5 Mathematical Model
6 Illustrative Example
6.1 Operation Sheet
6.2 Constraints
7 Simulation Results and Discussion
8 Conclusion
Acknowledgement
References
Predictive Modeling and Sentiment Classification of Social Media Through Extreme Learning Machine
1 Introduction
2 Background
3 Extreme Learning Machine
4 Methodology and Results
5 Conclusion
References
Deep Learning Method Based Binary Descriptor for Object Detection
Abstract
1 Introduction
2 Literature Review
3 Proposed Work
4 Experimentation Results
5 Conclusion
References
Identification of Credibility Content Measures for Twitter and Sina-Weibo Social Networks
Abstract
1 Introduction
1.1 Filtering Fake Content to Improve Credibility
2 Credibility Analysis Based on User Features
3 Credibility Analysis Based on Content Features
4 Credibility Analysis Based on Hybrid Features (Both Content and User Features)
5 Discussion and Findings
6 Conclusion and Future Work
References
On Generalized Measures of Entropy for Fuzzy Sets
Abstract
1 Introduction
2 Preliminaries
3 Generalized Fuzzy Information Measurement Based on New Parametric
4 Properties Based on Two Parametric Generalized Measure as Defined in Equation 3.1
5 Graphical Representation of Measure
6 Conclusion
References
Modeling for Headbox and Associated Wet End Systems
Abstract
1 Introduction
2 Detailed Modeling for Headbox, Fourdrinier Wire and Associated Wet End Systems
2.1 Material Balance Around Fan Pump
2.2 Ash Balance
2.3 Filler Balance
2.4 Fourdrinier Wire Balance
2.5 Fiber Balance Around Fourdrinier Wire
2.6 Filler Balance Around Fourdrinier Wire
2.7 Fines Balance Around Fourdrinier Wire
2.8 Overall Balance
2.9 Relation Between Solid Flow Rate and Volume Flow Rate
2.10 Relation Between Wire Speed, Stock Speed and Efflux Ratio
2.11 Relation Between Slice Velocity and Total Head of the Headbox
2.12 Relation Between Volume Flow Rate, Slice Opening and Velocity
2.13 Slice Velocity Measurement from Flow and Opening
3 Conclusion
References
Connecting People Through Virtual Assistant on Google Assistant
Abstract
1 Introduction
2 Related Work
3 Experimental Setup
3.1 Languages Used
3.2 Libraries and Framework Used
4 Development of Chat Hub Application Based on Three Tier Architecture
4.1 Client Side
4.2 Server Side
4.3 Working with Database
4.4 Flowchart
4.5 Pseudocode
5 Results
6 Conclusion and Future Work
References
Flow Based Botnet Traffic Detection Using Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset
3.2 Feature Extraction
3.3 Feature Selection
3.4 Classification
4 Experimental Results
5 Conclusion
References
A Hybrid Deep Learning Approach for Automatic Fish Classification
Abstract
1 Introduction
2 Data Collection
3 Methodology
4 Proposed Approach
4.1 Feature Extraction
4.2 Classification
5 Experimental Study
5.1 Experimental Scenario 1
5.2 Experimental Scenario 2
5.3 Experimental Scenario 3
6 Results and Discussions
7 Conclusion
References
Active Disturbance Rejection Control Applied to a DC Motor for Position Control
Abstract
1 Introduction
2 DC Motor Model Description
2.1 Linear Model
2.2 Non Linear Model
3 Active Disturbance Rejection Control (ADRC)
3.1 Second-Order ADRC
4 Simulation Results
4.1 Response in Presence of Parameter Variations
4.2 Response in Presence of Non-linearity in the Model
4.3 Response in Presence of Input and Output Noise
5 Conclusions
References
Multiple Reducts Computation in Rough Sets with Applications to Ensemble Classification
Abstract
1 Introduction
2 Basics for Multiple Reducts Computation
2.1 Decision System
2.2 Discernibility Matrix
2.3 Discernibility Function
3 Proposed Work
3.1 All Reducts Generation
3.2 Proposed Multiple Reducts Computation Algorithm (MRGA_MRC)
3.3 Ensemble of Classifiers Using Multiple Reducts
4 Experimentation
4.1 Experimental Setting
4.2 Experimental Results
4.3 Analysis of Results
5 Conclusion
References
Effect of Weight Initialization on Training of Sigmoidal FFANN for Back Propagation Algorithms
Abstract
1 Introduction
2 Weight Initialization Methods
2.1 Random Weight Initialization
2.2 Nguyen-Widrow Weight Initialization
2.3 Proposed N_WT1 Weight Initialization Method
2.4 Proposed N_WT2 Weight Initialization Method
3 Experimental Design
3.1 Data Sets
3.2 Algorithms
4 Results Obtained
5 Conclusion
References
A Machine Learning Approach to Simulating Farmers' Crop Choices for Drought Prone Areas
Abstract
1 Introduction
2 Literature Survey
3 Proposed System Architecture
4 Water Problems in Maharashtra
4.1 Rainfall Received in Maharashtra
4.2 Crop Pattern of Maharashtra
4.3 Data Table for Crops Season Wise
5 Decision Tree for Farmers' Crop Choices
6 Conclusion
References
Non-monotonic Reasoning for Scenario Awareness over Emergency Knowledge Base
Abstract
1 Introduction
2 Related Work
3 Non-monotonic Reasoning
4 Materials and Methods
5 Scenario Awareness
6 Conclusion
References
Dynamic ECG Classification Using Shift-Invariant DTCWT and Discriminant Analysis
Abstract
1 Introduction
2 Materials and Methods
2.1 ECG Signal Enhancement
2.2 Feature Extraction
2.3 Dual Tree Complex Wavelet Transform (DTCWT)
2.4 Linear Discriminant Analysis (LDA)
2.5 Classifiers
2.5.1 Support Vector Machine (SVM)
2.5.2 Extreme Learning Machine (ELM)
3 Experimental Results
4 Discussion
5 Conclusion and Future Scope
References
Estimation of Model Capacity for Image Classification
1 Introduction
2 Classification Capacity Estimation Using Extended VGGNET
2.1 Architecture of EVGGNET
2.2 Training of EVGGNET
3 Experimental Results
4 Conclusion
References
Project Portfolio Management (PPM) in Education Domain Using Skill Matcher Model
Abstract
1 Introduction
2 Literature Review
3 The Skill Matcher Model
3.1 Skill Extractor
3.2 FCA
3.3 Extended Stable Marriage Algorithm
4 Experimental Results
4.1 Skill Extractor
4.2 FCA
4.3 Extended Stable Marriage Algorithm
5 Conclusion and Future Scope
References
Integrative Use of IoT and Deep Learning for Agricultural Applications
Abstract
1 Introduction
2 Background
3 IoT in Agriculture
4 Processing and Analyzing Data Using Deep Learning
5 Deep Learning for Smart Agriculture
6 Conclusion
References
Situation-Aware Decision-Support During Man-Made Emergencies
Abstract
1 Introduction
2 Literature
3 Formalization of Situation Awareness
4 Situation Awareness
5 Hybrid Reasoning for Decision Making
6 Conclusion
References
Deep Learning Model for Facial Emotion Recognition
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Face Detection
3.2 Feature Extraction
3.3 Emotion Classification
4 Detailed Methodology and Experimental Details
4.1 Implementation Details of Face Detection
4.2 Implementation Details of Feature Extraction
5 Results Discussion
5.1 Test Cases of Face Detection
5.2 Evaluation of Feature Extraction
6 Conclusion and Future Work
A Appendix
References
Data Analytics and Cloud Computing
Capacity Aware Consistent Hashing on the Cloud Using Cryptographic Hashes
Abstract
1 Introduction
2 Related Work
2.1 Defining Partitions
2.2 Data Item Lookup
2.3 Repartitioning the Data
2.4 Shortcomings of the Existing Solution
3 Proposed Solution
3.1 Hash Ring Partition Size and Data Size
3.2 Server Capacity
3.3 Capacity Aware Partitioning
3.4 Handling Repartitioning
4 Quantitative Analysis
5 Conclusion and Future Work
References
QoS Optimization in Networks Through Swarm Intelligence Algorithm for Sustainable Big Data Management
Abstract
1 Introduction
2 Literature Survey
3 Problem Statement
3.1 Multi-objective Optimization (MOP)
4 Results and Discussions
5 Conclusion and Future Work
References
An Ensemble Learning-Based Undersampling Technique for Handling Class-Imbalance Problem
1 Introduction
2 Review of Literature
3 Methodology
4 A Case Study
4.1 Dataset
4.2 Experiment Settings
4.3 Performance Metrics
5 Results and Discussion
5.1 Results of XGBoost and SVM on Imbalanced Dataset
5.2 Results of Classifiers on Single Under-Sampled Data
5.3 Results of XGBoost and SVM After Ensembling on Under-Sampled Dataset
6 Conclusions and Future Work
References
Mining Frequent Patterns with Temporal Effect: A Case of Accident Path Analysis
Abstract
1 Introduction
2 Methodology
3 Case Study: Performance Assessment of RCS
3.1 Accident Path and Risk Control Systems
3.2 Data Collection
3.3 Results
3.4 Managerial Implications
4 Conclusion and Future Work
References
An Improved Recommender System for E-Learning Environments to Enhance Learning Capabilities of Learners
Abstract
1 Introduction
2 Literature Review
3 Theoretical Consideration
3.1 Recommender System
3.2 Learning Style
4 Research Methodology
4.1 Learner Module
4.2 E-Assessment Module
4.3 Domain Module
4.4 Recommendation Module
5 Experimental Study
6 Conclusion and Future Work
References
Employing Night-Time Light Images for Wealth Assessment in India: A Machine Learning Perspective
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Night-Time Light Satellite Data
3.2 Indian DHS Data
3.3 Preprocessing
3.4 Merging Processed DHS Data and NTL Satellite Imagery
3.5 Regression Analysis
4 Empirical Results
5 Conclusions
References
Music Listening History Dataset Curation and Distributed Music Recommendation Engines Using Collaborative Filtering
Abstract
1 Introduction
2 Other Music Listening History Datasets
3 The ListenBrainz Dataset
3.1 Data Collection
3.2 MusicBrainz
3.3 Data Exploration
4 Music Recommendation
4.1 Algorithm
4.2 Architecture
4.3 Result
5 Conclusion
References
Particle Swarm Optimized Ensemble Learning for Enhanced Predictive Sentiment Accuracy of Tweets
Abstract
1 Introduction
2 Related Work
3 Proposed Particle Swarm Optimized Sentiment Classification
3.1 Data Collection and Pre-processing
3.2 Feature Extraction
3.3 Feature Selection Using PSO Algorithm
3.4 Training and Testing of Ensemble Learning Algorithms
4 Results and Discussion
4.1 Attribute Measures of PSO
4.2 Contrast of Accuracy with Optimized and Non-optimized Feature-Selection
5 Conclusion and Future Trends
References
Big Data Analytics for Industry Oriented Education System: An Evolution of Sustainable Education Model
Abstract
1 Introduction
2 Related Works
3 Making Education Sustainable with Big Data Analytics: The Proposed Model
4 Conclusion
References
Complexity Analysis of Big Data Utilizing Lifting Based DWT for Multimedia Sensor Networks
Abstract
1 Introduction
2 Image Wavelet Transform
2.1 One-Dimensional Wavelet Transform Using Convolution
2.2 One-Dimensional Wavelet Transform Using Lifting Scheme
3 Complexity Analysis
3.1 Image Wavelet Transform Using Convolution for Daubechies 9/7 Wavelet
3.2 Image Wavelet Transform Using Lifting Scheme for Daubechies 9/7 Wavelet
4 Results and Discussions
5 Conclusion
References
Usability and Accessibility Testing: A Study on Public Sector and Government Websites of Bangladesh
Abstract
1 Introduction
2 Country Profile
3 Literature Review
4 Methodology
4.1 Tools
4.2 Procedure
5 Result
5.1 Usability Analysis
5.2 Accessibility Analysis
5.3 Broken Link Analysis
6 Conclusion
References
Silent Duration Handling for Trajectory Mining
Abstract
1 Introduction
1.1 Background
1.2 Related Work
2 Methodology
3 Implementation
3.1 Data Gathering
3.2 Silent Duration Handling Using Linear Interpolation
3.3 Mining Trajectory Pattern
4 Result and Discussion
5 Conclusion
Acknowledgment
References
Sarcasm Detection Using Feature-Variant Learning Models
Abstract
1 Introduction
2 Related Work
3 System Architecture
3.1 Dataset Acquisition
3.2 Pre-processing
3.3 Features Extraction
3.3.1 Syntax Related Statistical Features
3.3.2 TFIDF
3.3.3 Lexical Features
3.4 Techniques Used
3.5 Experimentation and Evaluation
3.6 Working Example
4 Result and Analysis
5 Conclusion and Future Work
References
Hybrid Approach of SVM and Feature Selection Based Optimization Algorithm for Big Data Security
Abstract
1 Introduction
2 Related Study
3 Dataset and Tool
4 Proposed Methodology
5 Results
5.1 Accuracy
5.2 Precision
5.3 Recall/TPR (True Positive Rate)
5.4 TNR (True Negative Ratio)
5.5 Fmeasure
5.6 Comparison Summary
6 Conclusion
7 Future Scope
References
Root Cause Analysis of Incidents Using Text Clustering and Classification Algorithms
1 Introduction
2 Methodology
2.1 Data Preprocessing
2.2 Root Cause Analysis by Text-Document Clustering
2.3 Accident Narrative Classification
3 Results and Discussions
3.1 Root Cause Analysis by Text-Document Clustering
3.2 Classification of Accident Narratives
4 Conclusions
References
GSEL: A Genetic Stacking-Based Ensemble Learning Approach for Incident Classification
1 Introduction
1.1 Motivation and Objective of the Study
2 Methodology
2.1 Data Preprocessing
2.2 Paragraph Vectors
2.3 Classifiers
2.4 Optimization Algorithm
3 A Case Study
4 Results and Discussion
5 Conclusions and Future Work
References
Pattern Extraction Using Proactive and Reactive Data: A Case Study of Contractors' Safety in a Steel Plant
1 Introduction
2 Methodology
3 Case Study
4 Analysis, Results and Discussion
4.1 Evaluation of Contractors
4.2 Prediction-Based Analysis
5 Conclusion
References
Assessing Service Quality Factors in Mobile Payments - Insights Based on User Experiences in Social Media
Abstract
1 Introduction
2 Literature Review
2.1 Technology Acceptance in Digital Payments
2.2 Social Media Acceptance in Service Consumption
2.3 Research Gap and Contribution
3 Theoretical Basis and Hypothesis Development
3.1 Research Questions
4 Methodology
5 Overview of Findings
5.1 Multiple Regression Model Summary
5.2 Structural Equation Modeling
5.3 Path Analysis
6 Discussion
7 Conclusion
8 Future Scope
9 Source of Funding
References
Determinants of Customer Satisfaction in Telecommunication
Abstract
1 Introduction
2 Literature Review
3 Theoretical Framework and Research Model
4 Analysis and Findings
5 Conclusion
6 Future Scope
7 Source of Funding
References
Systematic Mapping Study of Utility-Driven Platforms for Clouds
Abstract
1 Introduction
2 Related Work
3 Materials and Methods
4 Result and Discussion
5 Conclusion
Acknowledgments
References
Factors Affecting Customer Service Engagement - Six Cases Assessing Strengths and Weaknesses for Telecom and Payment Service Providers
Abstract
1 Introduction
1.1 Indian Telecom Industry
1.2 Digital Payments Industry
2 Literature Review
3 Methodology
3.1 Data Collection
3.2 Data Cleaning
3.3 Sentiment Analysis
3.4 Topic Modeling
3.5 SERVQUAL Framework
4 Results
4.1 Exploratory Data Analysis (Word Cloud)
4.2 Sentiment Analysis
4.3 Topic Modeling
4.4 Regression Analysis
5 Conclusion and Future Scope
References
Feature Extraction Mining for Student Performance Analysis
Abstract
1 Introduction
2 Literature Review
3 Feature Extraction and Processing
3.1 Random Forests
3.2 Support Vector Machine
3.3 Logistic Regression
3.4 K-Nearest Neighbor's
4 Model
5 Result and Discussion
5.1 Dataset
5.2 Dealing with Categorical Variables
5.3 Dealing with Numerical Variables
5.4 Data Analysis
5.5 Random Forest
5.6 Support Vector Machine
5.7 Logistic Regression
5.8 K-Nearest Neighbors
5.9 Classification Reports
5.10 Random Forest
5.11 Support Vector Machine
5.12 Logistic Regression
5.13 K-Nearest Neighbors
5.14 Comparison
6 Feature Importance in Random Forests
7 Conclusion
References
Hash Vectorizer Based Movie Genre Identification
Abstract
1 Introduction
2 Literature Review
3 Genre Identification Methodology
4 Results and Analysis
5 Conclusion and Future Work
References
Publishing CSV Data as Linked Data on the Web
Abstract
1 Introduction
2 Related Work
3 Background
3.1 Procedures for Transforming Tabular Data into RDF
3.2 Linked Data Publishing Technology
4 Proposed Approach
4.1 Architecture
4.2 CSV to RDF Converter
4.3 Linked Data Publisher
4.4 Procedures and Algorithms Design
4.4.1 CSV to RDF
4.4.2 RDF Data Publishing
5 Implementation and Experiment
5.1 Implementation Technologies
5.2 Results and Discussion
5.2.1 Experimental Datasets
5.2.2 Experimental Validation of Effectiveness
6 Conclusion
References
Key Considerations in Optimizing the Deployment of Big Data Analytics-as-a-Service Utilizing Cloud Architecture and Machine Learning
Abstract
1 Introduction to the "Analytics - Cloud" Nexus
2 Exploring Cloud Characteristics in the Context of Big Data
3 The Premise: Need to Optimize Deployment of Analytics as a Service
4 Internet-of-Things (IoT) and End-User Computing
5 Where to Position Analytics? A Strategy Question
6 Machine Learning (ML) in Augmenting Deployment of Data Analytics Services
7 Case Study in Implementing ML-Based Cloud Deployment
8 Challenges in Strategies for Deploying Analytics on the Cloud
9 Conclusions and Future Directions
References
Sleep Bruxism Disorder Detection and Feature Extraction Using Discrete Wavelet Transform
Abstract
1 Introduction
2 Methodology
3 Results and Discussions
4 Conclusions
Acknowledgments
References
Twitter Sentiment Analysis for Brand Reputation of Smart Phone Companies in India
Abstract
1 Introduction
2 Literature Review
3 Experimental Set-Up
3.1 Smart Phone Brands Considered in Study
3.2 Methodology
3.3 Tools Used
4 Working of Proposed Approach
4.1 Data Extraction
4.2 Data Cleaning
4.3 Sentiment Analysis
4.4 NBR Score
5 Experimental Results and Discussion
5.1 Apple
5.2 Samsung
5.3 OnePlus
5.4 Xiaomi
5.5 Huawei (Honor)
5.6 Lenovo
5.7 Empirical Comparison Between Different Smart Phone Brands
6 Conclusion
References
Developing a User-Friendly Tool for Executing SQL Queries Using Hadoop Framework
Abstract
1 Introduction
2 The Architecture of the Proposed Tool
2.1 Input File Manager
2.2 File Splitting Manager
2.3 Query Processing Manager
2.4 File Handling Manager
2.5 MapReduce Program
2.6 Output Processor
3 Development and Working Procedure of the Tool
4 Conclusion and Future Work
References
Ensembled Deep Learning Approach for Maritime Anomaly Detection System
Abstract
1 Introduction
2 Background
3 Research Methodology
3.1 Data Preparation
3.2 Long Short-Term Memory Networks
3.3 Training Architecture
3.4 Prediction Architecture
4 Experiments and Results
5 Conclusions
References
An Empirical Study on Acquisition of Digital Evidences from Facebook Using Various Tools and Techniques
Abstract
1 Introduction
2 Existing Security Issues in Facebook
3 Types of Evidences and Their Sources
4 Tools and Techniques for Collection and Analysis of Evidences
4.1 Screenshot/Screen Scrape
4.2 Manual Backup Technique
4.3 Browser and Facebook Cache
4.4 Analysis of RAM
4.5 Facebook JPG Finder
4.6 Facebook Password Finder
4.7 Online Search
5 Challenges in Forensic Investigation
5.1 Reproducible Results
5.2 Accepted Tools and Techniques
5.3 Proper Evidence Handling and Documentation
5.4 Preservation of Metadata
6 Conclusion, Benefits and Future Scope
References
An Empirical Evaluation of K-Means Clustering Algorithm Using Different Distance/Similarity Metrics
Abstract
1 Introduction
2 Objective of the Study
3 The Experiment Design
3.1 Distance/Similarity Metrics
3.2 Dataset Used
3.3 No. of Clusters
3.4 Initial Centroids
4 Results
5 Discussions
6 Summary and Conclusion
References
A Framework for Performing Prediction and Classification Using Machine Learning
Abstract
1 Introduction
2 Background and Related Work
3 System Overview
4 Detailed Methodology
4.1 Algorithm
4.2 Formulation of the Algorithms
5 Results Discussion
5.1 Datasets
5.2 Comparative Analysis
6 Conclusion and Future Work
References
Hadoop Scalability and Performance Testing in Homogeneous Clusters
Abstract
1 Introduction
2 Hadoop
2.1 HDFS Architecture
2.2 MapReduce
2.3 Counters
3 Experimental Environment
3.1 Cluster Configuration
3.2 Datasets
4 Results
4.1 Increase Cluster Size Before and After Loading Data
4.2 HDFS Block Size vs Cluster Size
4.3 HDFS Block Size vs Dataset Size
5 Conclusions and Future Work
References
Security and Privacy
Critical Investigation on Application Layer-DDoS Attacks: Taxonomy and Parameter Efficacy
Abstract
1 Introduction
1.1 Motivation
2 Related Work
3 Comparison of AL-DDoS
4 Discussion
4.1 Attack Strategies
5 Result
5.1 Overview of Studies
5.2 Attributes Used in AL-DDoS
6 Conclusion
References
A Novel Framework for Credit Card Fraud Prevention and Detection (CCFPD) Based on Three Layer Verification Strategy
Abstract
1 Introduction
2 Related Work
3 Adaptive Methodologies for Credit Card Fraud Prevention (CCFP)
3.1 Application Level Fraud Prevention Methods
3.2 Transaction Level Fraud Prevention Methods
4 Proposed Framework for Credit Card Fraud Prevention and Detection (CCFPD)
4.1 Working of Framework
5 Experiment and Results Analysis
6 Security Guidelines for CC Users
7 Conclusion
Acknowledgment
References
Effect of Activation Functions on the Performance of Deep Learning Algorithms for Network Intrusion Detection Systems
Abstract
1 Introduction
2 Literature Review
3 Effect of Activation Functions on the Performance of Deep Learning Algorithms for Intrusion Detection Systems
3.1 Deep Artificial Neural Networks
3.2 Convolutional Neural Networks
3.3 Activation Functions
3.4 NSL-KDD Dataset
3.5 UNSW-NB15 Dataset
4 Experimental Study
4.1 Experimental Setup
4.2 Results
5 Conclusion
References
A New Text Steganography Method Based on Sudoku Puzzle Generation
Abstract
1 Introduction
2 Preliminary Observation and Literature Overview
2.1 Syntactical Text Steganography
2.2 Lexical Text Steganography
2.3 Text Steganography by Data Hiding in Specific Characters
2.4 Open Spaces Method
2.5 Feature Coding Method
2.6 By Generating Summary Using Reflection Symmetry Method
2.7 Other Steganographic Approaches
3 Proposed Algorithm
3.1 Encoding Algorithm
3.2 Decoding Algorithm
4 Experimental Result
5 Advantages and Disadvantages
6 Conclusion and Future Scope
References
Scalable Security Based on Data Classification Using Generalized RSA in Cloud Storage
Abstract
1 Introduction
2 Scalable Security Model Based on Data Classification Using Generalized RSA in Cloud Storage
2.1 Data Classification
2.2 Scalable Security Model Using GRSA-AA
3 Result and Analysis
4 Conclusion
References
Dimensional Reduction in Behavioral Biometrics Authentication System
Abstract
1 Introduction
1.1 Background
1.2 Literature Review
2 Methodology
2.1 Build a Model Classifier
2.2 Dimensional Reduction
3 Result and Discussion
4 Conclusion
References
Data Security Algorithm Using Circular Queue and Graycode
Abstract
1 Introduction
2 Related Works
3 Proposed Method
3.1 Encryption Process
3.2 Decryption Process
4 Performance Analysis
4.1 Security Analysis
4.2 Time Complexity
4.3 Space Complexity
5 Conclusion
References
Enigma: A Hybrid Approach to File Security in Cloud
Abstract
1 Introduction
2 Related Work
3 Preliminaries
3.1 Binary Format
3.2 Jigsaw Puzzle
4 Enigma
4.1 Division: A Jigsaw Puzzle Strategy
4.2 Selective Encryption
4.3 Node Allocation and Replication
4.4 Merging
5 Security Analysis
5.1 Horizontal Division Analysis
5.2 Enigma Analysis
6 Conclusion
7 Future Scope
References
PRiDE: Priority and Reliability Based Routing in Delay Tolerant Network
1 Introduction
2 Literature Survey
3 Proposed Approach
3.1 Packet and Routing Table
3.2 Routing
3.3 PAF (Priority Adjustment Factor) Role and Usage
3.4 Routing Table Role and Usage
3.5 TTL (Time to Live) Management
3.6 Node Density Factor
3.7 PAF Calculation
3.8 PRiDE Algorithm
4 Conclusion
References
Key Life Cycle and Estimation of Time for Revocation of Keys in Cryptographic Systems
Abstract
1 Introduction
1.1 Life of Key
2 Related Work
3 Proposed Key Management Life Cycles
4 Proposed Time Estimation Model for Key Revocation
4.1 Key Updation
4.2 Modified Function
4.3 Time Estimation for Given Probability
4.4 Example
4.5 Comparative Analysis
5 Applications and Future Scope
6 Conclusion
Acknowledgments
References
Next Generation Computing Technologies
A Robust Image Watermarking Through Bi-empirical Mode Decomposition and Discrete Wavelet Domain
Abstract
1 Introduction
2 Related Work
3 Proposed Work
3.1 Embedding Steps
3.2 Steps of Extraction Process
4 Experimental Results
5 Conclusion
References
Hiding Information Along Fractal in a Digital Cover to Improve Capacity
Abstract
1 Introduction
2 Theoretical Approach
3 Implementation Details
4 Experimental Results
5 Steganalysis of Stego Image Created Using Newton Fractal Approach
6 Conclusion
References
Identifying Forged Images Using Image Metadata
Abstract
1 Introduction
2 Background and Related Work
2.1 Image Metadata
3 Proposed Neural Network to Identify Modified Images Using Image Metadata
3.1 Image Metadata Extraction
3.2 Neural Network Model
4 Experimental Study
4.1 Creation of a Dataset
4.2 ExifTool
4.3 Results
5 Conclusion
References
Phase Locked Feature Based BCI Speller for P300 Analysis
Abstract
1 Introduction
1.1 P300 Based BCI Speller
2 Methodology
2.1 Dataset Description
2.2 Windowing
2.3 Feature Extraction
2.4 Cross Validation and Classification
3 Results and Discussion
4 Conclusion
References
Encryption Based DWT-SVD Medical Image Watermarking Technique Using Hamming Code
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
4 Experimental Results
5 Conclusion
References
Image Steganography and Steganalysis Based on Least Significant Bit (LSB)
Abstract
1 Introduction
2 Literature Review
3 Design and Implementation of the Proposed LSB Model
3.1 Simulations and Results
4 Discussion
5 Conclusions and Future Work
Acknowledgement
References
A Deep Learning Approach for Classification of Onychomycosis Nail Disease
Abstract
1 Introduction
2 Literature Review
3 Data Collection
4 Methodology
4.1 Proposed Approach
5 Results and Discussion
6 Conclusion
References
An Improved Approach to Enhance the Test Case Prioritization Efficiency
Abstract
1 Introduction
2 Related Work
3 Test Case Prioritization Problem
4 Proposed Work
5 Experiment and Analysis
6 Performance Analysis
7 Discussion
8 Conclusion and Future Enhancement
References
A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Data Acquisition
3.2 Methodology
4 Results and Analysis
5 Conclusion
References
Author Index

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