Proceedings of ICRIC 2019

Name: Proceedings of ICRIC 2019 | Recent Innovations in Computing
Brand: Springer
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Recent Innovations in Computing

Pradeep Kumar Singh Arpan Kumar Kar Yashwant Singh Maheshkumar H. Kolekar Sudeep Tanwar(Editor)

Springer (Publisher)

1st Edition

Published on 21. November 2019

XII, 920 pages

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978-3-030-29407-6 (ISBN)

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Content

Intro
Preface
Contents
Advanced Computing
Predictive Analysis of Absenteeism in MNCS Using Machine Learning Algorithm
1 Introduction
2 Predictive Analysis Using Machine Learning Algorithm
2.1 Linear Regression
2.2 Support Vector Regression (SVR)
3 Implementation of Predictive Model for Absenteeism
4 Conclusion and Future Work
References
IoT Based Healthcare Kit for Diabetic Foot Ulcer
1 Introduction
2 Related Work
3 Proposed System
3.1 Hardware
3.2 Sensing
3.3 Harvesting and Analysis
3.4 Alert and Reporting
4 Results
5 Conclusion
References
Context-Aware Smart Reliable Service Model for Intelligent Transportation System Based on Ontology
1 Introduction
2 Background Study
3 Ontology Based Context-Awareness in ITS
4 Context-Aware ITS: Use Case Scenarios
4.1 Use Case 1: Dynamic Traffic Signal Management (DYSM)
4.2 Use Case 2: Smart Parking System
5 Conclusion
References
Static, Dynamic and Intrinsic Features Based Android Malware Detection Using Machine Learning
1 Introduction
1.1 Android Malware Detection
1.2 Approaches to Detecting Malware
2 Machine Learning Classifiers
2.1 Support Vector Machine
2.2 k-Nearest Neighbor
2.3 Logistic Regression
2.4 Random Forest
3 Proposed Methodology
3.1 Data Collection
3.2 Feature Collection
3.3 Feature Extraction
3.4 Data Preprocessing
4 Experiment and Results
5 Conclusion and Future Scope
References
Machine Learning: A Review of the Algorithms and Its Applications
1 Introduction
2 Machine Learning
2.1 Supervised Learning
2.2 Unsupervised Learning
2.3 Deep Learning
2.4 Various Deep Learning Algorithms or Technologies
2.5 Applications
3 Conclusion
References
Deep Neural Networks for Diagnosis of Osteoporosis: A Review
1 Introduction
2 Overview of Deep Learning
3 Deep Learning for Diagnosis of Osteoporosis
3.1 Neural Networks Based on Clinical Observations
3.2 Deep Neural Networks Based on Image Analysis
4 Challenges and Future Perspectives
5 Conclusion
References
Predicting Drug Target Interactions Using Dimensionality Reduction with Ensemble Learning
1 Introduction
2 Proposed Methodology
2.1 Feature Encoding
2.2 Feature Subspacing
2.3 Dimensionality Reduction
2.4 Ensemble Learning
3 Experiments
3.1 Data
3.2 Experimental Results
4 Conclusion
References
Integration of Fog Computing and Internet of Things: An Useful Overview
1 Introduction
2 Related Work
2.1 Fog Computing-Definition
2.2 Similarities and Differences with Cloud Computing, Cloudlets, and Mobile Edge Computing
3 Interfacing Fog with Fog, Cloud, Internet of Things Devices/End-User Devices
4 Salient Features or Characteristics of Fog Computing
5 Real-Time Use Cases with Fog Computing
6 Challenges in Fog Computing with Internet of Things
7 Conclusion with Future Research Directions
References
Review of Machine Learning Techniques in Health Care
1 Introduction
2 Literature Survey
2.1 Health Care
2.2 Machine Learning
3 Applications and Current Integration of Machine Learning in Health Care
3.1 Medical Imaging
3.2 Diagnosis of Diseases
3.3 Behavior Modification or Treatment
3.4 Clinical Trial Research
3.5 Smart Electronic Health Records
3.6 Epidemic Outbreak Prediction
4 Conclusion
References
A Review of IoT Techniques and Devices: Smart Agriculture Perspective
1 Introduction
1.1 Internet of Things (IoT)
2 Applications of IoT in Agriculture
2.1 Sensor Technology
2.2 Soil Moister and Water-Level Sensor
2.3 RFID Technology
2.4 Radio Transmission Technology in Agriculture
2.5 Intelligent Irrigation Technology
2.6 Technical Quality Safety of Agricultural Products
2.7 Precision Seeding and Spraying Techniques
3 Benefits of IoT in Agriculture
3.1 Data Collected by Smart Agriculture Sensors
3.2 Superior Control Over the Internal Processes and, as a Result, Scarce Production Risks
3.3 Cost Management and Waste Shortage Felicitation to the Enhanced Control Over Production
3.4 Increased Business Competence Through Process Automation
3.5 Irrigation, Fertilizing, or Pest Control. Enhanced Product Quality and Volumes
4 Discussions
5 Conclusion
References
A Review of Scheduling Algorithms in Hadoop
1 Introduction
2 Hadoop
2.1 HDFS
2.2 MapReduce
3 Literature Review
4 Findings
5 Conclusion
References
Cellular Level Based Deep Learning Framework for Early Detection of Dysplasia in Oral Squamous Epithelium
1 Introduction
1.1 Dysplasia
1.2 Deep Learning
2 Literature Review
3 Materials and Methodology
4 Results and Discussion
5 Conclusion
6 Future Scope
References
Internet of Things-Based Hardware and Software for Smart Agriculture: A Review
1 Introduction
2 Background Study
3 Comparison of Current Techniques and Issues
4 Conclusion
References
Smart Approach for Real-Time Gender Prediction of European School's Principal Using Machine Learning
1 Introduction
2 Methods and Techniques
2.1 Dataset
2.2 Preprocessing
2.3 Testing and Validation
2.4 Knowledge Flow Environment
2.5 Performance Evaluation
3 Experiments Results, Analysis, and Evaluation
3.1 Confusion Matrices
3.2 Evaluation Matrices and ROC's
4 Web Server for Real-Time Prediction
5 Conclusion
References
GPU and CUDA in Hard Computing Approaches: Analytical Review
1 Introduction
2 GPU and CUDS
3 Hard Computing Applications
4 Comprehensive Analysis of Different Algorithms Implemented on GPU
4.1 Description
4.2 Description
4.3 Description
4.4 Description
4.5 Description
4.6 Description
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4.28 Description
4.29 Description
4.30 Description
5 Conclusion
References
IoT-Based Home Automation with Smart Fan and AC Using NodeMCU
1 Introduction
2 Related Work
3 Proposed System and Implementation
4 Challenges and Research Opportunities
4.1 Big Data
4.2 Distributed Computing
4.3 Privacy and Security
4.4 Edge Computing
5 Conclusion
References
Sampling Approaches for Imbalanced Data Classification Problem in Machine Learning
1 Introduction
2 Resampling Methods for Class Imbalance
2.1 Undersampling
2.2 Oversampling
3 Performance Evaluation
3.1 Datasets Used
3.2 Metrics
3.3 Machine Learning Algorithms Used
4 Results
4.1 Discussion of Results
5 Conclusion
References
Sentiment Analysis and Mood Detection on an Android Platform Using Machine Learning Integrated with Internet of Things
1 Introduction
2 Related Technologies Used
2.1 Twiggle
2.2 The North Face
2.3 Virtual Assistance
2.4 Akinator
2.5 Chatbots
3 Objectives of Moody Buddy Application
4 The Algorithm of Moody Buddy Application
4.1 Heart Rate Monitoring Device
4.2 Data Analysis
4.3 IBM Watson Questioning Answering System Proposed in Natural Language Processing
4.4 Once the Questionnaire Does Its Work and We Get a Calculated Result, Provisions Are Made of What to Be Done for Each and Every Emotion
5 Comparisons with the Related Technologies
6 Conclusion
References
Predictive Strength of Selected Classification Algorithms for Diagnosis of Liver Disease
1 Introduction
2 Data Visualization and Data Analysis
3 Proposed Technique
3.1 Cross-Validation Algorithm
3.2 Logistic Regression Algorithm
3.3 Support Vector Machine Algorithm (SVM)
3.4 Decision Tree Classification
3.5 K-Nearest Neighbors
3.6 Naive Bayes Algorithm
4 Performance Metrics and Experimental Result
5 Conclusion
References
A Review of Applications, Approaches, and Challenges in Internet of Things (IoT)
1 Introduction
2 Application Areas of Internet of Things
2.1 Smart Home
2.2 Smart City
2.3 Wearable
2.4 Smart Farming
2.5 Machine-to-Machine
3 Literature Review
4 Challenges
4.1 Privacy
4.2 Security
4.3 Energy Efficient
4.4 Interoperability
5 Conclusion and Future Work
References
Intellegent Networking
Web Search Personalization Using Semantic Similarity Measure
1 Introduction
2 Related Work
3 Methodology
3.1 User Identification
3.2 Query Preprocessing
3.3 User Profile
3.4 Semantic Similarity
3.5 Query Modification
3.6 Ontology-Based Retrieval
4 Experiments and Results
5 Discussion and Evaluation of Experimental Results
6 Conclusion
References
Efficient Data Transmission in Wireless Sensor Networks
1 Hybrid Artificial Bee Colony with Salp Meta-Heuristic
1.1 Standard ABC
2 Hybrid Artificial Bee Colony with Salp Meta-Heuristic
2.1 Initialization Phase
2.2 Improved Employed Bee Phase
2.3 Improved Onlooker Bee Phase
2.4 Improved Scout Bee Phase
3 Efficient Data Transmission Using HABCS Meta-Heuristic
3.1 HABCS-Initialization Phase
3.2 HABCS-Route Searching Phase
3.3 ABCS-Data Transmission Phase
4 Performance Evaluation and Result Analysis
5 Conclusion and Future Work
References
Lifetime Improvement in Wireless Sensor Networks Using Hybrid Grasshopper Meta-Heuristic
1 Introduction
2 Proposed Hybrid Artificial Grasshopper Optimization Algorithm (HAGOA)
2.1 Artificial Grasshopper Optimization (AGOA)
3 Artificial Bee Colony (ABC) Variance
3.1 Initialization Phase
3.2 Improved Employed Bee Phase
3.3 Improved Onlooker Bee Phase
3.4 Improved Scout Bee Phase
4 Energy Optimization Using HAGOA
4.1 Fitness Function Notation for Node Deployment
4.2 Fitness Function Notation for Cluster Head Selection
4.3 Fitness Function Evaluation for Optimal Path Selection
5 HAGOA Execution
5.1 HAGOA Initialization Phase
5.2 HAGOA Cluster Phase
5.3 HAGOA Transmission Phase
6 Performance Evaluation and Result Analysis
7 Conclusion and Future Work
References
Routing Topologies and Architecture in Cognitive Radio Vehicular Ad hoc Networks
1 Introduction
2 Overview of Cognitive Radio and Its Architecture
3 Cognitive Radio Vehicular Ad hoc Network
4 Literature Review
5 CR-VANET for Topology and Routing Protocols
6 Conclusion and Future Scope
References
Parameter Optimization Using PSO for Neural Network-Based Short-Term PV Power Forecasting in Indian Electricity Market
1 Introduction
2 Factors Influencing the Solar PV Power Output
2.1 Solar Radiation Intensity
2.2 Temperature
2.3 Pearson Correlation Coefficient
3 Proposed Approach
3.1 Feed-Forward Artificial Neural Network
3.2 Particle Swarm Optimization
4 Working of Proposed Forecasting Model
4.1 Data Summary
4.2 Pre-processing Stage
4.3 Data Preparation
4.4 Training Stage
4.5 Forecasting Stage
5 Performance Evaluation Index
6 Result and Discussion
7 Conclusion
References
Exploring the Effects of Sybil Attack on Pure Ad Hoc Deployment of VANET
1 Introduction
2 Ad Hoc/Topology-Based Routing Protocols
2.1 Dynamic Source Routing (DSR) Protocol
3 Position-Based Routing Protocols
3.1 Anchor-Based Street and Traffic-Aware Routing (A-Star)
4 Geocast-Based Routing Protocols
4.1 Mobicast
5 Cluster-Based Routing Protocol
5.1 Cluster-Based Routing (CBR) Protocol
6 Broadcast-Based Routing Protocols
6.1 Density-Aware Reliable Broadcasting Protocol (DECA)
7 A Mechanism for Prevention of Sybil Attack in Pure Ad Hoc VANET
8 Conclusion
References
Analysis and Design of WDM Optical OFDM System with Coherent Detection Using Different Channel Spacing
1 Introduction
2 Design and Simulation
3 Results and Discussion
4 Conclusion
References
Design and Investigation of Multiple TX/RX FSO Systems Under Different Weather Conditions
1 Introduction
2 FSO Challenges
2.1 Absorption and Scattering Loss
2.2 Fog
2.3 Rain
2.4 Snow
3 Simulation and Design
4 Results and Discussions
5 Conclusion
References
Dynamic Distance Based Lifetime Enhancement Scheme for HWSN
1 Introduction
1.1 Motivation
2 Literature Review
3 Proposed Approach
3.1 Assumptions
3.2 Problem Formulation
3.3 Energy Model
3.4 Setup and Steady-State Phase
3.5 Dynamic Region Selection
3.6 Dynamic Hoping Selection Process
3.7 Algorithm of Proposed Approach
4 Performance Evaluation
4.1 Performance Metrics
5 Conclusion
References
On Security of Opportunistic Routing Protocol in Wireless Sensor Networks
1 Introduction
2 Literature Survey
3 Comparative Analysis of Security Methods of Opportunistic Routing in WSN
4 Conclusion
References
The Significance of Using NDN in MANET
1 Introduction
2 History and Evolution of NDN and CCN
2.1 CCNx
2.2 NDNx
2.3 CCNNDN-NP (NDN Next Phase)
3 Introduction of NDN
3.1 NDN Hourglass Architecture
3.2 NDN Network Packet Format
3.3 NDN Operation
4 NDN Advantages for MANET Solution
4.1 Suitable for Wireless Communication
4.2 Node Mobility Support
4.3 No Exclusive Control Mechanism Is Required
4.4 Better and Simpler Routing Approach
4.5 Better Security Support
4.6 Energy Efficient
5 Conclusion
References
Using NDN in Improving Energy Efficiency of MANET
1 Introduction
2 Related Work
3 Justification of Using NDN for MANET
4 Research Methodology
4.1 Awareness of the Problem
4.2 Suggestion
4.3 Development
4.4 Evaluation
4.5 Conclusion
5 Preliminary Result
5.1 Testbed Setup
5.2 Experiment Result
6 Conclusion and Future Work
References
Image Processing and Computer Vision
Fingerprint Biometric Template Security Schemes: Attacks and Countermeasures
1 Introduction
2 Taxonomy of Template Security Schemes
2.1 Feature Transformation Based Schemes
2.2 Biometric Cryptosystem Based Schemes
3 Literature Review
4 Analysis of Template Security Schemes
5 Conclusion
References
Effect of Blurring on Identification of Aerial Images Using Convolution Neural Networks
1 Introduction
2 Background Work
3 CNN Architecture
3.1 AlexNet
3.2 GoogLeNet
4 Results and Discussion
4.1 Data Collection
4.2 Observation
5 Conclusion
References
PSO-Tuned ANN-Based Prediction Technique for Penetration of Wind Power in Grid
1 Introduction
2 Wind Forecasting Methods
2.1 Timescales-Based Classification [6, 7]
2.2 Historical Data-Based Forecasting
3 Artificial Neural Network (ANN)
4 Particle Swarm Optimization (PSO)
5 Error Parameters Estimation
6 Results and Discussion
7 Conclusions
References
A Comprehensive Review on Face Recognition Methods and Factors Affecting Facial Recognition Accuracy
1 Introduction
2 Factors Affecting Face Recognition Accuracy
2.1 Occlusion
2.2 Low Resolution
2.3 Noise
2.4 Illumination
2.5 Pose Variation
2.6 Expressions
2.7 Aging
2.8 Plastic Surgery
3 Classification of Face Recognition Methods
3.1 Appearance-Based Methods
3.2 Feature-Based Matching Methods
3.3 Hybrid Methods
4 A Review of Face Recognition Methods Used in Different Studies
4.1 Appearance-Based Approaches
4.2 Feature-Based Approaches
4.3 Hybrid Approach
5 Conclusion
References
Detection of Eye Ailments Using Segmentation of Blood Vessels from Eye Fundus Image
1 Introduction
2 Image Processing in Blood Vessel Segmentation
3 Literature Review
4 Current Gaps and Challenges
5 Materials and Methods
5.1 Dataset
6 Segmentation Results and Analysis
7 Conclusions and Future Scope
References
Multi-focus Image Fusion: Quantitative and Qualitative Comparative Analysis
1 Introduction
2 Materials and Methods
2.1 Material
2.2 Methods
3 Results and Discussion
4 Conclusion
References
Computer-Assisted Diagnosis of Thyroid Cancer Using Medical Images: A Survey
1 Introduction
2 Pre-processing
3 Segmentation
4 Classification
5 Discussion
6 Conclusion
References
A Novel Approach of Object Detection Using Point Feature Matching Technique for Colored Images
1 Introduction
1.1 Computer Vision
1.2 Prerequisite of Object Recognition
2 Related Work for Object Detection
3 Speeded-Up Robust Feature (SURF)
4 Feature Detection
5 Algorithm
6 Results of Proposed Method
7 Conclusion
References
E-Learning Cloud and Big Data
Behavior Study of Bike Driver and Alert System Using IoT and Cloud
1 Introduction
2 Motivation
3 Related Work
4 eCall
5 Contran 245 [3]
6 Miroad
7 Proposed Model
7.1 Proposed Rule Set
8 Experimental Results
9 Conclusion
References
E-Learning Web Accessibility Framework for Deaf/Blind Kannada-Speaking Disabled People
1 Introduction
2 Literature Review
3 Kannada Moon Code for Disabled People
4 Proposed Web Accessibility Framework for Deaf/blind Kannada-Speaking Disabled People
5 Conclusion
References
Real-Time Prediction of Development and Availability of ICT and Mobile Technology in Indian and Hungarian University
1 Introduction and Related Work
2 Research Design and Methodology
2.1 Dataset and Preprocessing
2.2 Feature Extraction
2.3 Training, Testing, and Validation
2.4 Classifiers
2.5 Performance Metrics
2.6 Real Time
3 Experiments and Result Discussions
3.1 Experiment-I
3.2 Experiment-II
3.3 Experiment-III
3.4 Experiment-IV
4 Model Evaluation
5 Conclusion
References
A Web Extraction Browsing Scheme for Time-Critical Specific URLs Fetching
1 Introduction
2 Literature Survey
3 Problem Definition
4 Proposed Work
5 Performance Analysis and Discussion
6 Conclusion and Future Scope
References
Necessary Information to Know to Solve Class Imbalance Problem: From a User's Perspective
1 Introduction
2 Existing Analysis Techniques for Solving the Class Imbalance Problem
3 The Existence of Imbalanced Data Classification in the Different Application Domains
4 Evaluation Model for Addressing Class Imbalance Problem
5 Possible Research Directions
6 Open Discussion
7 Conclusions
References
Suicidal Ideation from the Perspective of Social and Opinion Mining
1 Introduction
2 Literature Review
3 Data Collection in Existing Work
4 Findings
5 Conclusion
6 Future Scope
References
Performance Analysis of Queries with Hive Optimized Data Models
1 Introduction
2 Features of Hive
3 Hive Optimized Data Models
3.1 Partitioning
3.2 Bucketing
3.3 File Formats ORC and Parquet
4 Related Work
5 Methodology
5.1 Datasets
5.2 Problem Statements
6 Experimental Analysis
7 Results
8 Conclusion
References
A Review on Scalable Learning Approches on Intrusion Detection Dataset
1 Introduction
2 Experimental Details
3 Results and Discussion
4 Conclusion
References
Assessing Drivers for Telecom Service Experience-Insights from Social Media
1 Introduction
2 Literature Review
3 Theoretical Framework
4 Methodology
5 Overview of Findings
5.1 Word Cloud
5.2 Multiple Regression Model Summary
6 Discussion
7 Conclusion
References
Collaborative Topic Regression-Based Recommendation Systems: A Comparative Study
1 Introduction
2 Background
3 Recommendation Models in CTR Family
4 Models in Comparison
5 Comparison of Recommendation Models
5.1 Similarities in Models
5.2 Dissimilarities in Models
6 Discussion and Future Directions
7 Conclusion
References
Automatic Extraction of Product Information from Multiple e-Commerce Web Sites
1 Introduction
2 Related Work
3 The Proposed Architecture
4 Experimental Setup and Evaluation
5 Conclusion
References
Security and Privacy
Performance Evaluation and Modelling of the Linux Firewall Under Stress Test
1 Introduction
2 Related Work
3 Experiment Plan
3.1 Experimental Set-up
3.2 Experiment Plan
4 Observations and Results
4.1 Impact of Packet Rate and Rule-Set Size on the Performance of Iptables
4.2 Impact of Packet Rate and Time Duration on the Performance of Iptables
4.3 Impact of Time Duration on the Performance of Iptables
5 Mathematical Model
6 Validation of the Model
7 Conclusion and Future Scope
References
Template Security in Iris Recognition Systems: Research Challenges and Opportunities
1 Introduction
1.1 Attacks on Iris Biometric System
2 Iris Template Security
3 Review of Literature
4 Interpretations Appertaining to Various Iris Recognition Techniques
5 Research Challenges
6 Conclusion and Future Scope
References
Comprehending Code Fragment in Code Clones: A Literature-Based Perspective
1 Introduction
2 Understanding Code Fragment
3 Units of Measuring Clone Size
4 Minimum Clone Length
5 Impact of Clone Length
6 Conclusion and Future Work
References
Mobile Edge Computing-Enabled Blockchain Framework-A Survey
1 Introduction
2 Overview of MEC Architecture
2.1 Modulars in MEC
2.2 The MEC Architecture
3 Blockchain Consensus and Mining in MEC Architecture
3.1 Security Issues in MEC Architecture
3.2 Blockchain-Based Solutions
4 Proposed Mobile Blockchain-Enabled Edge Framework
5 Conclusions and Future Work
References
Performance Evaluation of Snort and Suricata Intrusion Detection Systems on Ubuntu Server
1 Introduction
1.1 Snort
1.2 Suricata
1.3 Snort Versus Suricata
2 Previous Work
3 Experimental SetUp
4 Results and Observations
5 Conclusion
References
Global Smart Card ID Using RFID: Realization of Worldwide Human Mobility for Universal Validation
1 Background
2 Introduction
3 A Brief Technological Overview
3.1 Smart Card Technology
3.2 RFID Technology
3.3 Biometric Technology
4 Necessity of Global Identification and Current Scenario
5 Major Research Approach and Validation
6 Challenges and Major Issues with Global Smart Card ID Using RFID
6.1 Registrations of Users with Multiple Identities
6.2 Interoperability Requirements
6.3 Issues of Identity Thefts and Security
6.4 Depleting Trust on Biometric IDs
6.5 Management of Associated Database System
6.6 Issue of Global Frequency Harmonization
7 Future Research Impact
8 Conclusion
References
Design of Low-Power Dual Edge-Triggered Retention Flip-Flop for IoT Devices
1 Introduction
2 Proposed Device
3 Results and Discussion
4 Conclusion
References
Digital India
Development of Slot Engine for Gaming Using Java
1 Introduction
2 Flow Chart for Game Development
3 Flow Chart for Spirits of Zen
4 Features of the Game
4.1 Feature 1
4.2 Feature 2
4.3 Feature 3
5 Free Spin
6 Free Spin Bonus
7 Reels and Win Information
8 Payment Table
9 Server Testing of the Game
10 Conclusion
References
Hydroponics-An Alternative to Indian Agriculture System and Current Trends: A Review Study
1 Introduction
2 Background
3 Literature Review
4 Proposed Solution
5 Discussion
6 Conclusion
References
Sports Policy Implementation by the IoT Platform
1 Introduction
2 Literature Review
2.1 Related Work Embedded IMU
2.2 Wearable, Camera, and Sports Analytics
2.3 Localization and Motion Tracking
3 Purpose of the Study
4 Research Methodology Used in This Study
5 System Architecture for Smart Sports Policy
5.1 Implementation of Sports Policy with IoT Architecture for Play Field Games
6 Findings and Discussion
6.1 Findings from Research Work
7 Conclusion
References
Bayesian Prediction on PM Modi's Future in 2019
1 Introduction
1.1 Contributions
2 Research Methodology
2.1 External Variables
2.2 Influential Variables
2.3 Decision Variable
3 Experiment
4 Discussion
5 Conclusion
References
Design and Analysis of Thermoelectric Energy Harvesting Module for Recovery of Household Waste Heat
1 Introduction
2 Materials and Methods
2.1 Designing of Various Components
3 Results and Discussions
4 Conclusion
References
A Model of Information System Interventions for e-Learning: An Empirical Analysis of Information System Interventions in e-Learner Perceived Satisfaction
1 Introduction
2 Theoretical Framework
3 Research Model and Hypotheses
4 Research Methods
4.1 Instrument Development
4.2 Data Collection
5 Data Analysis and Results
5.1 Factor Analysis (Exploratory and Confirmatory Factor Analysis)
5.2 Reliability and Validity
5.3 Structural Model and Hypotheses Testing
6 Discussion and Implications
6.1 Limitations and Implications for Future Research
References

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Proceedings of ICRIC 2019

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