Intelligent Computing Paradigm and Cutting-edge Technologies : Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019

This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things. It is becoming increasingly important to develop adaptive, intelligent, computing-centric, energy-aware, secure and privacy-aware mechanisms in high-performance computing and IoT applications. Serving as a useful guide for researchers and practitioners working in the field of information technology and computer science, the book also appeals to beginners wanting to learn more about the better computing paradigm. In addition, it provides a platform for researchers, engineers, academics and industry professionals from around the globe to share their research findings. Preface and Acknowledgement Organizing Committee Conference General Chair Conference Honorary Chair Programme Convenor Programme Chair Programme Co-chair International Advisory Board Programme Co-convenors Publications Chair Technical Chairs Technical Programme Committee Members About the Book Contents About the Editors Brexit Twitter Sentiment Analysis: Changing Opinions About Brexit and UK Politicians Abstract 1 Introduction 2 Related Work 3 System Architecture 3.1 Sentiment Analysis 3.2 Twitter Data Collection 4 Brexit Tweet Sentiment Analysis 5 Challenges and Conclusions References A Clustering Algorithm for Multi-density Datasets Abstract 1 Introduction 2 Related Works 3 Multi-density Based Notion of Clusters 4 CMDD: Clustering Multi-density Datasets 5 Experimental Results 6 Conclusion Acknowledgements References Generate a New Types of Fuzzy \Psi _{i} -Operator Abstract 1 Introduction 2 Preliminaries 3 Fuzzy {{\varvec \Psi}}_{{\varvec i}} -Operator 4 Discussion and Conclusion 5 Future Work References Programs Features Clustering to Find Optimization Sequence Using Genetic Algorithm Abstract 1 Introduction 1.1 Motivation and Background 2 Proposed Method 2.1 Extracting the Features of the Program 2.2 The Genetic Algorithm for Sequence Optimization 3 Experiment and Discussion 3.1 The Experimental Setup 3.2 The Experimental Results 4 Related Work 5 Conclusion References Complex Event Processing Based Analysis of Cassini–Huygens Interplanetary Dataset Abstract 1 Introduction 2 Related Work 3 Description of the Data Set and the Methodology 4 Special Event Detection (SED) Algorithm and Calculation of Weighted Complex Event Level (WCEL) Metric 4.1 Algorithm_A (Special Event Detector: SED) 4.2 Algorithm_B (Processing of Weighted Complex Event Level: wCEL) 4.3 Evaluation of the Variables 4.3.1 Timing Variables (Group_A) 4.3.2 Temperature Variables (Group_B) 4.3.3 Communication Variables (Group_C) 5 Detected Complex Events of the Cassini-Huygens Mission 6 Conclusions and Remarks References Integrating OpenMTC Framework into OneM2M Architecture for a Secure IoT Environment Abstract 1 Introduction 1.1 oneM2M 1.2 OpenMTC 1.3 SSL 2 Proposed Architecture 2.1 Deployed Architecture 2.2 Input 2.3 Output 3 Results 4 Conclusion and Future Work References Deep Convolutional Neural Networks for Human Activity Classification Abstract 1 Introduction 2 Related Works 3 Activity Recognition 3.1 Convolutional Neural Networks (CNN) 3.2 Transfer Learning 3.2.1 Motivation 3.2.2 Goal 3.2.3 Data Augmentation (DA) 3.3 VGG-16 4 Experiments and Dataset 4.1 Dataset Used 4.2 Model Architecture 5 Results 6 Conclusion References A Model to Forecast the Student’s Grade and Course Recommendation: A Case Vietnamese Students Abstract 1 Introduction 2 Literature Review 3 Methods 3.1 Participant and Data 3.2 The Model for Forecasting the Student Learning Outcomes 3.2.1 Data Normalization 3.2.2 Forecast the Student’s Learning Outcomes 3.2.3 Forecast the Student’s Grade Point Average 3.2.4 Suggestions the Subjects to Study in the Next Semester 4 Results 5 Discussion 6 Conclusion References An Overview of Adopting Cloud Computing in E-Learning Systems Abstract 1 Introduction 2 Current Challenges of E-Learning Systems 3 Cloud Computing 4 Cloud Computing for E-Learning 5 Conclusion Acknowledgments References Hybrid Feature Selection Algorithm to Support Health Data Warehousing Abstract 1 Introduction 2 Related Works 3 Proposed Framework 4 Description on Healthcare Dataset and Algorithm 5 Results and Discussion 6 Conclusions References A Survey on Methods of Ontology Learning from Text Abstract 1 Introduction and Motivation 2 Preliminaries 2.1 Ontology 2.2 Ontology Learning 2.3 Ontology Learning from Text 3 Previous Surveys – A Glance 3.1 Methods and Approaches 3.2 Models and Frameworks 4 Review on Ontology Learning Methods 4.1 Research Gaps 5 Conclusions and Future Works References Improving Energy Consumption by Using DVFS Abstract 1 Introduction 2 Motivation 3 Background* 4 Problem Statement 5 Objective 6 Innovation 7 Proposed System Overview 8 Challenges 9 Assumptions 10 Literature Survey and Review 11 Results Analysis 12 Conclusion and Future Work References Educational Video Classification Using Fuzzy Logic Classifier Based on Arabic Closed Captions Abstract 1 Introduction 2 Literature Review 3 The Research Methodology 4 Conclusion and Future Works Acknowledgments References A Two-Level Authentication Protocol for Vehicular Adhoc Networks Abstract 1 Secure Communication in VANET: Overview 2 System Initiation 2.1 Global Alias Acquisition 2.2 Local Alias Acquisition 2.3 RSU Processing 3 Vehicle/Node Revocations 4 Attack Model 5 Results and Discussion 6 Conclusion References Bengali Poem Generation Using Deep Learning Approach Abstract 1 Introduction 2 Related Works 3 Methodology 3.1 Data Collection 3.2 Data Preprocessing 3.3 Sentence Representation 3.4 Preparing Data for Machine 3.5 Language Model 3.6 Model Evaluation 4 Experimental Results and Discussion 5 Conclusion References Incorporating Digital “Teach-nology” and Mobile Learning Application in Teacher Education in VNU, Hanoi Abstract 1 Introduction 2 E-Pedagogy and Mobile Device Use in Education 2.1 E-Pedagogy 2.2 Mobile Learning Applications in Teacher Education 3 Limitation and Discussion 4 Conclusion References Whale Optimization Algorithm for Traffic Signal Scheduling Problem Abstract 1 Introduction 2 Related Work 3 Traffic Signal Scheduling (TSS) Problem Formulation 3.1 TSS Basic Terminology 3.2 TSS as an Optimization Problem 4 Proposed TSS Optimization Methodology 5 Results and Discussion 5.1 Experimental Setup 5.2 Sensitivity Analysis of WOA 5.3 Performance of WOA Versus Other Optimization Algorithms 6 Conclusion References Peer-to-Peer Lookup Process Based on Data Popularity Abstract 1 Introduction 2 Background and Related Work 3 Description of the Proposed Approach 3.1 Popularity Table Construction 3.2 Popularity Factor Calculation 3.3 Replication Method 3.4 Lookup Process 4 Experimental Results 5 Conclusion References Dynamic Cluster Based Connectivity Approach for Vehicular Adhoc Networks Abstract 1 Introduction 2 Literature Survey 3 Proposed Model 3.1 Connectivity Enhancement Using C-THE Clustering Techniques 3.2 Analysis of the Connectivity Probability 3.2.1 Connectivity Probability of V2V Scenario 3.2.2 Connectivity Probability V2I Scenario 4 Simulations and Results Analysis 5 Conclusions and Future Work References Transfer Learning for Internet of Things Malware Analysis Abstract 1 Introduction 2 Motivation 3 Related Works 4 Materials and Methods 5 Experimental Results and Discussion 6 Future Work 7 Conclusion Acknowledgments References Hybridization of Local Search Optimization and Support Vector Machine Algorithms for Classification Problems Enhancement Abstract 1 Introduction 2 The Proposed Technique 3 Experiments 4 Conclusion References The Analysis of PPG Time Indices to Predict Aging and Atherosclerosis Abstract 1 Introduction 2 Research Methods 3 Results and Discussions 4 Conclusions References Hybrid Particle Swarm Optimization with Science Cosine Algorithm and Mathematical Equations for Enhancing Robot Path Planning Abstract 1 Introduction 2 Particle Swarm Optimization (PSO) 3 Sine Cosine Algorithm (SCA) 4 Mathematical Equations (ME) 5 The Proposed PSE Algorithm 6 Applying PSE on Robot Path Planning 6.1 Objective Function 6.2 Obstacles Functions 6.3 Improvement 7 Conclusion References Setting Up Process of Teaching Software’s on Human Anatomy and Physiology in University of Vietnam Abstract 1 Introduction 2 Setting up Process of Teaching Software 2.1 Step 1: Definition of the Teaching Objectives 2.2 Step 2: Analysis of the Teaching Content 2.3 Step 3: Compilation of Materials; Collecting and Selection; Setting-up and Pedagogic Treatmant; Technical Treatment of Pictures, Photos, Illustrations, Films; Experiment Modeling... Compatible with the Teaching Requirements 2.4 Step 4: Designing of Tool-Software: To Format and Display Data by Programming Language (by the Informatics Experts) 2.5 Steps 5: Entering of Information from Scenarios into Designed Teaching Softwaves 2.6 Step 6: Test-Playing of Softwaves; Correction and Setting-up of Programmed CD-Rom 2.7 Step 7: Writing of the Users Guide 3 Results and Discussion 4 Conclusion References Feature Selection Models for Data Classification: Wrapper Model vs Filter Model Abstract 1 Introduction 2 Literature Review 2.1 Wrapper Model 2.2 Filter Model 2.3 Naive Bayes Classification Algorithm 2.4 Logistic Regression Classification Algorithm 2.5 Decision Trees Classification Algorithm 3 Work Strategy 4 Experiment Analysis 4.1 Weka Data Mining Tool 4.2 Benchmark Datasets 4.3 Evaluation Criteria 4.4 Experimental Results 5 Conclusion References The Effect of Teaching Using the E-Learning Platform on Social Communication Among Ninth Grade Students in Computer Subjects Abstract 1 Introduction 2 Study Problem and Questions 3 Study Hypotheses 4 The Importance of Studying 5 Theoretical Importance 5.1 Practical Importance 6 Terms and Procedural Definitions 7 Study Limits and Limitations 8 Method and Procedures 8.1 Study Approach 8.2 Study Individual 8.3 Study Variables 8.4 Social Communication Skills 8.5 Validity and Stability of the Scale 8.6 Construction Validity 9 Discussion of the Results 10 Recommendations References Blended Learning and the Use of ICT Technology Perceptions Among University of Jordan Students Abstract 1 Introduction 1.1 Models of Blended Learning 1.1.1 Inversion Class 1.1.2 Station Rotation 1.1.3 Laboratory Rotation 1.1.4 Dynamic Model 2 Study Problem and Questions 3 Objectives of the Study 4 The Importance of Studying 5 Methodology 5.1 Method of Data Collection and Evaluation 6 Discussion 7 Conclusion References Improved Crypto Algorithm for High-Speed Internet of Things (IoT) Applications Abstract 1 Introduction 2 Literature Review 3 Block Cypher-Based Modes of Operation 4 Principle of Rijndael Cryptographic Algorithm 4.1 Pseudo-code: Encryption 4.2 Pseudo-code: Decryption 5 Proposed FPGA Rijndael Algorithm Implementation 6 Experimental Results 7 Conclusion References Credit Card Fraud Detection: A Systematic Review Abstract 1 Introduction 2 Class Imbalance 3 Machine Learning Techniques of CCFD 3.1 Supervised and Unsupervised Learning 3.2 Ensemble Learning 3.3 Deep Learning 4 Classification Metrics for CCFD 5 Dataset and Tools for CCFD 6 Conclusion References Short Term Forecasting of Market Clearing Price (MCP) for an Electricity Bid Based on Various Algorithms in R Abstract 1 Introduction 2 Backgrounds 2.1 Supervised Training 2.2 Unsupervised Training 2.3 K-Nearest Neighbor 3 Implementation 3.1 Artificial Neural Network 3.2 Support Vector Machine 3.3 K-Nearest Neighbor 4 Results 5 Plots 6 Conclusion References A Replica Structuring for Job Forecasting and Resource Stipulation in Big Data Abstract 1 Introduction 2 Hadoop Map Reduce 2.1 Map Reduce 2.1.1 Payload 2.1.2 Reduce 2.1.3 Map Parameters 2.1.4 Shuffle/Reduce Parameter 3 Job Scheduling 3.1 FIFO Scheduler 3.2 Fair Scheduler 3.3 Longest Approximate Time to End (Late) 3.4 Delay Scheduling 4 Literature Survey 4.1 Scheduling of Jobs Using Map Reduce 4.2 Optimal Resource Provisioning 4.3 Methodology 5 Performance Modelling Frame Work 5.1 Profiling Map Reduce Phases 6 Conclusions References Using the Information Technology in Studying Anthropometry Indices of the Vietnamese People and Orients of Health Education for Students Now Abstract 1 Introduction 1.1 Methodology 1.2 Results and Discussion 2 Conclusion References Skew Handling Technique for Scheduling Huge Data Mapper with High End Reducers in MapReduce Programming Model Abstract 1 Introduction 2 Skew Handling Technique with MapReduce 2.1 Proposed Work 3 Experimental Summary 3.1 Findings on Real Time Environment 4 Conclusion References Protecting Medical Research Data Using Next Gen Steganography Approach Abstract 1 Introduction 2 Literature Survey 2.1 Security Attacks 2.2 Watermarking 2.3 Steganography 3 Proposed System 3.1 Digital Watermarking 4 Sample Code 5 Steganography 5.1 Sample Code 6 Encryption 6.1 Sample Code 7 Project Results 8 Conclusion References Pedestrian Detection - A Survey Abstract 1 Introduction 2 Pedestrian Detection Challenges 2.1 Pedestrian Detection Methods Under the Daytime 2.2 Pedestrian Detection Under Nighttimes 2.3 Pedestrian Detection Under Scaling 2.4 Pedestrian Detection Under Occlusion 3 Dataset 4 Conclusion References Overview of an Ovarian Classification and Detection PCOS in Ultrasound Image: A Study Abstract 1 Introduction 1.1 Classification of Ovary 1.2 Data Set 2 PCOS Detection Using Image Processing Methods 2.1 Segmentation Techniques for PCOS 2.2 Image Enhancement in PCOS 2.3 Features Extraction and Metrics in PCOS 3 Conclusion References Real-Time Application of Document Classification Based on Machine Learning Abstract 1 Introduction 2 Research Methodology 3 Exploratory Analysis 3.1 Pre-processing 3.2 Feature Extraction 3.3 Visualization in 2D Space 4 Classification 4.1 Support Vector Machine 4.2 Result 5 Conclusion and Future Scope References A Revised Study of Stability Issues in Mobile Ad-Hoc Networks Abstract 1 Introduction 2 Advantages of MANETs 3 Classification of Routing Protocols in MANETs 4 Related Works 4.1 Related Works on Link Stability Algorithms 4.2 Related Works on Route Repair Algorithms 4.3 Related Works on Stable Path Algorithms 5 Conclusion References Compressed Sensing Based Mixed Noise Cancellation in Passive Bistatic Radar Abstract 1 Introduction 2 Contribution 3 Definitions 4 Signal Model 5 PBR System Parameters 6 Compressed Sensing 7 Filter Formulation 8 Computer Program: Validation and Verification 9 Results and Discussion 10 Conclusion References E-Class Education Model in Modern Educational Technology-Based Approach Abstract 1 Introduction 2 eClass Education Model: Modern Educational Technology-Based Approach 2.1 Educational Technology and Features of Modern Educational Technology: 2.2 Technology 4.0 Context and Education Ecosystem 2.3 eClass Education Model from the Perspective of Modern Educational Technology 3 Deploying the eClass Model for Teaching Pedagogy2 3.1 The Choice of Technology Solution 3.2 Transformative Instructional Design for the Personal Competence Development 3.3 Experiment and Evaluate Effective with WIHIC 4 Conclusion References An Approach to Introduce Mobile Application Development for Teaching and Learning by Adapting Allan’s Dual Coding Theory Abstract 1 Introduction 2 Literature Review 3 Present Teaching Methodology 4 Proposed Teaching Methodology 5 Research Population to Execute This Idea 6 Challenges Faced for Both Learning and Commercial Aspects 7 Conclusion References CPAODV: Classifying and Assigning 3 Level Preference to the Nodes in VANET Using AODV Based CBAODV Algorithm Abstract 1 Introduction 2 Related Works 3 Description of CPAODV Algorithm 3.1 Classifying and Partitioning the Users 3.2 Distance Calculation to Avoid Collision 3.3 Advantages of CPAODV Model 4 Performance Analysis of AODV, CBAODV, and CPAODV 4.1 Findings and Interpretation 5 Summary 5.1 Limitation of CPAODV References TSA – QoS: Throughput Aware Scheduling Algorithm to Enhance the Quality of Service in Mobile Networks Abstract 1 Introduction 2 Previous Works 3 TSA – QoS: A Proposed Algorithm 4 Scenarios and Discussions 5 Simulation Results 6 Conclusion References Applying Virtual Reality Technology to Biology Education: The Experience of Vietnam Abstract 1 Introduction 2 Virtual Reality Technology in Education 2.1 General Education Renovation Project – the Education Reform in Vietnam 2.2 Biology Teaching and Learning in Vietnam and the Lack of Applying ICT 2.3 The Need of Applying VRT in Biology Teaching and Learning in Vietnam 2.4 Lesson Design Procedure Integrating VRT into Biology Education 2.5 Examples of Applying VRT to Biology Teaching and Learning 3 Discussion References Improved Scheme Securing Voting System for Elections Abstract 1 Introduction 1.1 Challenges 2 Traditional Voting Prior to Electronic Voting 3 Proposed Algorithm 3.1 Materials and Methods 3.1.1 Logical Scheme View 3.1.2 The Registration Phase 3.1.3 The Voting Phase 3.1.4 Verification Message 3.1.5 Receipt-Freeness 3.1.6 Homomorphic Encryption Example 3.1.7 Receipt-Freeness Methods 3.1.8 Attacker in E-Voting 3.1.9 Tallying After the Election Ends 4 Results 5 Comparison Analysis 6 Conclusion References Author Index