Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (Advances in Intelligent Systems and Computing, 1153)

✍ Scribed by Aboul-Ella Hassanien (editor), Ahmad Taher Azar (editor), Tarek Gaber (editor), Diego Oliva (editor), Fahmy M. Tolba (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 880
• Category: Library

✦ Synopsis

This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.

✦ Table of Contents

Preface
Organization
Honorary Chair
International Advisory Board
General Chair
Conference Co-chairs
Program Chairs
Publicity Chairs
Technical Program Committee
Local Arrangement Committee
Contents
Artificial Intelligence
Artificial Intelligence-Based Plant’s Diseases Classification
Abstract
1 Introduction
2 Preliminaries
2.1 Convolutions Neural Network
2.2 VGG16 Architecture
2.3 Gaussian Optimization Method
3 Materials and Methods
3.1 Plant’s Image Dataset
3.2 The Proposed Plant’s Diseases Classification Model
3.2.1 Preprocessing Phase
3.2.2 Classification and Evaluation Phase
3.3 Hyper Parameter Optimization for CNN Using Gaussian Process Phase
4 Experiments Results and Discussion
4.1 Experiment (I): Without Optimization
4.2 Experiment (II): Hyper_Parameter Optimization Using Gaussian Process
4.3 Experiment (III): Hyperparameters Optimization
5 Conclusion and Future Work
References
Machine Learning for Apple Fruit Diseases Classification System
Abstract
1 Introduction
2 Literature Review
3 Apple Diseases Classification System
3.1 Preprocessing Phase
3.2 Apple Segmentation Phase
3.3 Feature Extraction Phase
3.3.1 Local Ternary Patterns (LTP)
3.3.2 Local Binary Pattern (LBP)
3.3.3 Histogram of Oriented Gradients (HOG)
3.3.4 Gray Level Co-occurrence Matrix (GLCM)
3.3.5 Color Coherence Vector (CCV)
3.4 Apple Classification Phase
4 Experimental Results
5 Conclusions
References
Experimental Modeling of Hexapod Robot Using Artificial Intelligence
1 Introduction
2 Kinematic Model of Hexapod
2.1 Forward Kinematics Problem
2.2 Inverse Kinematics Problem
3 Neural Network Structure
4 Experimental Results and Discussion
5 Conclusion
References
A Systematic Review of the Factors Affecting the Artificial Intelligence Implementation in the Health Care Sector
Abstract
1 Introduction
2 Background
2.1 Study Importance and Contribution
2.2 Problem Definition
2.3 The Aim of Research
3 Literature Review
3.1 Artificial Intelligence Projects in the Health Sector
3.2 The Technology Acceptance Model (TAM)
3.3 Linking Technology Acceptance Model (TAM) to Artificial Intelligence (AI) Projects
4 Research Methodology
5 Conclusion and Future Work
Acknowledgment
References
Machine Learning and Deep Learning Techniques for Cybersecurity: A Review
Abstract
1 Introduction
2 Literature Review
3 Classification of Machine Learning Algorithms to Cybersecurity
3.1 Classical Machine Learning Techniques
3.2 Deep Learning Techniques
4 Cybersecurity Datasets
4.1 KDD Cup 1999 Dataset
4.2 ISOT (Information Security and Object Technology) Dataset
4.3 HTTP CSIC 2010 Dataset
4.4 CTU-13 (Czech Technical University) Dataset
4.5 UNSW-NB15 Dataset
5 Conclusion and Future Work
References
Mining and Data Analysis
A Survey of Semantic Analysis Approaches
Abstract
1 Introduction
2 Literature Review
2.1 Technical Part
2.1.1 Natural Language Processing
2.1.2 Latent Semantic Analysis
2.1.3 Explicit Semantic Analysis
2.1.4 Sentiment Analysis
3 Future Prospects
4 Discussion
5 Conclusion
References
Mining Publication Papers via Text Mining: A Case Study
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Reading the Document
3.2 Extracting Keywords
3.3 Searching for Similar Papers
3.4 Named Entity Recognition (NER)
3.5 Publication Papers Classification
4 Case Study
5 Conclusion
References
Medical Imbalanced Data Classification Based on Random Forests
Abstract
1 Introduction
2 Background
2.1 Classifiers and Supervised Learning
2.2 Classification with Imbalanced Data
3 Training the Resampling Technique
3.1 Evaluation and Comparison of the Proposed Technique Performance
4 Conclusion
References
Mining in Educational Data: Review and Future Directions
Abstract
1 Introduction
2 Literature Review
2.1 Data Mining Techniques in Educational Systems
2.2 The Traditional Data Mining Techniques Applied in Educational Settings
2.3 Machine Learning Applied to Learning Analytics and Educational Data Mining
2.3.1 Predict Student Performance
2.3.2 Use Unbiased Methods for Testing and Grading Students
2.3.3 Enhance Retention
2.3.4 Provide Support to Teachers and Institution Stuff
3 Conclusion and Future Work
References
Green Supply Chain Management and Firm’s Performance: A Review
Abstract
1 Introduction
2 Literature Review
2.1 Green Supply Chain Management Practices
3 Conceptual Model
3.1 Green Practices and Performance
4 Conclusion and Implications
4.1 Theoretical Implications
4.2 Managerial Implications
References
Role of Financial Technology FinTech: A Survey
Abstract
1 Introduction
2 Literature Review
3 Conclusion
References
Applications of Integrated Management and Distribution Information in Power Supply System
Abstract
1 Introduction
2 The Systems and Definitions of Integrated Management and Distribution
3 In the Form of Information Management and Process
4 Inspection Management
5 Conclusion
References
Swarm-Based Optimization and Applications
Vortex Swarm Optimization: New Metaheuristic Algorithm
Abstract
1 Introduction
2 Vortex Collective Behavior
3 The Proposed Vortex Swarm Optimization (VSO)
4 Results of Benchmark Functions
5 Conclusion
References
An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization
Abstract
1 Introduction
2 Materials and Methods
2.1 K-Means Clustering
2.2 Support Vector Machines
2.3 Cockroach Swarm Optimization
3 The Proposed Apple Fruit Disease Classification System
3.1 Preprocessing Phase
3.2 Apple Segmentation Phase
3.3 Feature Selection Phase
3.4 Classification Phase
3.5 Fine-Tuning Phase
4 Experimental Results and Discussion
5 Conclusion and Future Directions
References
Controlling Directed Particle Swarm Optimization for Delivering Nano-robots to Cancer Cells
Abstract
1 Introduction
2 Related Work
3 Directed Particle Swarm Optimization Algorithm (DPSO)
4 Controlling the Direct Step
5 Simulation and Results
6 Conclusions
References
Feature Selection Method Based on Chaotic Maps and Butterfly Optimization Algorithm
1 Introduction
2 Background
2.1 Butterfly Optimization Algorithm (BOA)
2.2 Chaotic Maps
3 The Proposed Chaotic Butterfly Optimization Algorithm (CBOA)
4 Results and Discussion
4.1 Parameter Setting
4.2 Fitness Function
4.3 Dataset Description
4.4 Performance Analysis
5 Conclusion
References
Dynamic Cost Ant Colony Algorithm for Optimize Distributed Database Query
Abstract
1 Introduction
2 Preliminaries
2.1 Ant Colony Optimization
2.2 Problem Definition
3 Literature Survey
4 Proposed Technique
4.1 Search Space
4.2 Cost Model
4.3 Search Strategy
5 Experimental Results
6 Conclusion and Future Work
References
Clustering Analysis Based on Coyote Search Technique
Abstract
1 Introduction
2 Background and Related Work
2.1 Related Clustering Algorithms
2.2 Coyote Search Technique (CST)
3 The Coyote Search-Based Clustering Technique
4 Experimental Result
5 Conclusion and Future Work
References
Brain Tumor Segmentation in 3D-MRI Based on Artificial Bee Colony and Level Set
Abstract
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Preprocessing Phase
3.2 Two-Step Artificial Bee Colony Clustering Phase
3.3 Level Set Segmentation Phase
4 Experimental Results
5 Conclusion and Future Work
References
Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Swarm Intelligence
Abstract
1 Introduction
2 Related Work
3 The Proposed Model
4 Experimental Results
5 Conclusion
References
A Modified Sunflower Optimization Algorithm for Wireless Sensor Networks
1 Introduction
2 Problem Formulation
3 A Modified Sunflower Optimization Algorithm (MSFO)
3.1 Sunflower Optimization Algorithm (SFO)
3.2 The Modified Sunflower Optimization Algorithm (MSFO)
4 Numerical Experiments
4.1 Parameter Setting
4.2 Performance Analysis
4.3 The Effect of Invoking the Lèvy flight in the MSFO algorithm
5 Conclusion
References
Deep Learning and Applications
Hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques
Abstract
1 Introduction
2 Related Work and Background
2.1 Background
2.1.1 Convolution Neural Network (CNN)
2.1.2 Support Vector Machine (SVM)
2.1.3 K - Nearest Neighbor
2.2 Related Work
3 The Proposed Hybrid Approach for Intrusion Detection System
3.1 Preprocessing
3.2 Normalization
3.3 Extract Feature Using CNN
3.4 Classify Data Using ML
4 Experimental Results
4.1 Dataset
4.2 Result and Analysis
4.2.1 Summary of Test Results for CNN _SVM in Multi-class Classification
4.2.2 Summary of Test Results for CNN_KNN in Multi-class Classification
4.2.3 Test Accuracy Comparison Between the Proposed and Other Techniques
5 Conclusion and Future Work
References
Prediction of the Electrical Load for Egyptian Energy Management Systems: Deep Learning Approach
1 Introduction
2 Smart Meters
3 System Overview
4 Smart Meter Data Analytics
5 Load Forecasting: A Deep Neural Networks Approach
5.1 Problem Formulation
5.2 Deep Neural Networks
5.3 Dataset and Experimental Results
6 Conclusions
References
Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs
Abstract
1 Introduction
2 Related Work
3 Hate Speech
4 Methodology
4.1 Data Collection
4.2 Data Filtering
4.3 Data Annotation
5 Results and Analysis
5.1 Dataset
5.2 Model Evaluation
5.2.1 Machine Learning
5.2.2 Deep Learning
6 Conclusions
References
Abnormal Events and Behavior Detection in Crowd Scenes Based on Deep Learning and Neighborhood Component Analysis Feature Selection
Abstract
1 Introduction
2 Literature Review
3 Proposed Method Overview
4 Experiments and Results
4.1 Datasets Description
4.2 Experimental Results Discussion
5 Conclusions
References
Classifying Upper Limb Activities Using Deep Neural Networks
1 Introduction and Literature Survey
2 Upper Limb Movements and Experiments
2.1 Kinematics of the Upper Limb
2.2 Hardware Configuration and Data Acquisition
2.3 Participants and Protocol
3 Data Collection and Features Extraction
3.1 Obtaining General Features
3.2 Features Reductions
3.3 Data Scaling
4 Neural Network Architectures
5 Results and Discussion
6 Conclusion
References
Experimental Kinematic Modeling of 6-DOF Serial Manipulator Using Hybrid Deep Learning
1 Introduction
2 Forward Kinematics
3 ADAMS Simulation
4 Neural Network Architectures
4.1 Neuro Fuzzy System Optimized by SAA
4.2 CNN Optimized by Adaptive Moment Estimation
5 Experimental Analysis with Machine Vision
6 Results and Discussions
7 Conclusion
References
A Hybrid Deep Learning Based Autonomous Vehicle Navigation and Obstacles Avoidance
1 Introduction and Related Work
2 Mathematical Modeling of the Vehicle Dynamics
3 Hardware Description and Data Generation
4 The Proposed Deep Learning Techniques
4.1 Neuro-Fuzzy Based PSO Optimization
4.2 Convolutional Neural Network (CNN)
5 Results and Discussion
6 Conclusion and the Future Work
References
Deep Learning Based Kinematic Modeling of 3-RRR Parallel Manipulator
1 Introduction
2 Kinematic Model of PPM
2.1 Inverse Kinematics of PPM
2.2 PPM Working Modes
3 ADAMS Simulation and Analysis
4 Neuro-Fuzzy Inference System Structure
4.1 Particle Swarm Optimization (PSO)
4.2 Genetic Optimization Algorithm (GA)
5 Results and Discussion
6 Conclusion
References
Deep Learning in Breast Cancer Detection and Classification
1 Introduction
2 Dataset
3 Comparative Study for the Used Evaluation Metrics and Datasets
3.1 Detection and Classification Accuracy Metrics
3.2 Datasets Preparation
4 Comparative Study for the Applied Detection and Classification Models
4.1 Limitation of the Used Detection and Classification Models
5 Conclusion
References
Hyperspectral Image Classification Using Deep Learning Technique
Abstract
1 Introduction
2 Related Work
3 Remote Sensing Image Classification Methods
4 Experiments and Results
4.1 Experimental Procedure
4.2 Evaluation and Discussions
5 Conclusions
References
Solving Inverse Kinematics of a 7-DOF Manipulator Using Convolutional Neural Network
1 Introduction and Literature Survey
2 Kinematics Model of the 7-DOF Manipulator
3 Data Obtaining and Processing
4 Artificial Neural Network Architecture
5 Simulation Results and Discussion
6 CNN Validation
7 Conclusion
References
Remote Sensing Image Classification Based on Convolutional Neural Networks
Abstract
1 Introduction
2 Remote Sensing Image Datasets
3 CNNs Applied for Remote Sensing Image Classification
4 Experimental Results
4.1 Experiments Setting
4.2 Evaluation and Discussions
5 Conclusions
Combination of Convolutional and Recurrent Neural Networks for Heartbeat Classification
Abstract
1 Introduction
2 Related Work
3 Methodology
3.1 Preprocessing Stage
3.2 Classification Stage
4 Experimental Results
4.1 Dataset
4.2 Results
5 Conclusion and Future Work
References
A Two-Stage Method for Bone X-Rays Abnormality Detection Using MobileNet Network
Abstract
1 Introduction
2 Related Work
3 Proposed Method
3.1 Dataset
3.2 Preprocessing
3.3 Features Extraction and Classification
4 Experimental Results
4.1 Results of First Stage
4.2 Results of Second Stage
4.3 Results of Merging the Two Stages
5 Conclusion
References
Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields
Abstract
1 Introduction
1.1 The Current Problem
2 Previous Research
3 Methodological Approach
4 Methodology Implemented
5 Architecture of the Neural Network
5.1 Creation of Training Data
5.2 Creation of Segmented Images for Our Research
5.3 Creation of the Mask
5.4 Neural Network Selected
6 Results and Discussion
7 Conclusions
8 Future Direction
References
Machine Learning and Applications
Machine Learning Model for Predicting Non-performing Agricultural Loans
Abstract
1 Introduction
2 Classification Methods
2.1 Overview of Individual Classifiers
2.2 Overview of the Meta-Classifiers
3 Feature Selection Techniques
4 The Proposed Model
4.1 Data Collection
4.2 Data Pre-processing
4.3 Training Based Dataset
4.4 Ensemble Models
5 Results and Analysis
6 Conclusion
References
Machine Learning-Based Sentiment Analysis for Analyzing the Travelers Reviews on Egyptian Hotels
Abstract
1 Introduction
2 Literature Review
2.1 Tourism and Hotel Review
2.2 Opinion Mining
3 Sentiment Analysis Model
3.1 Pre-processing Step
3.2 Features Selection Step
3.3 Machine Learning Step
3.4 Classifiers Used in Traveler Review Sentiment Model
4 Experimental Results
5 Conclusion and Future Work
References
Machine Learning Techniques for Handwritten Digit Recognition
Abstract
1 Introduction
2 Preliminaries
3 Formulating and Modeling a Problem
4 Proposed Method
5 Results and Performance Assessment
6 Conclusion
References
Short Term Electricity Load Forecasting Through Machine Learning
Abstract
1 Introduction
2 Preliminaries
3 Proposed Method
4 Results and Performance Assessment
5 Conclusion
References
A Modified Query Processing Algorithm Based on Dynamic Clustering for Big Data Applications
Abstract
1 Introduction
1.1 Problem Statement
1.2 Motivation and Aim of the Work
1.3 Contribution and Methodology
2 Related Work
3 The Proposed Dynamic Distributed Clustering Model
4 Experimental Results
5 Conclusion
References
Metadata Extraction for Low-Quality Semi-structured Spreadsheets
Abstract
1 Introduction
2 Related Work
3 The Proposed Framework Architecture
4 A Spreadsheet Conversion Phases
4.1 Table Detection Based on a Clustering Approach
4.2 Metadata Extraction Based on a Heuristic Approach
4.3 Automatic Insertion Based on a Table Analysis for Attributes Name
5 The Proposed Approach Algorithms
5.1 Algorithm 1: Table Detection
5.2 Algorithm 2: Excel Metadata Extraction
5.3 Algorithm 3: Automatic Insertion into a Database
6 Experiments Results and Analysis
7 Conclusion and Future Work
References
Classification of Imbalanced Data Using Decision Tree and Bayesian Classifier
1 Introduction
1.1 Bayesian Classifier
1.2 Decision Tree
2 Methodology
3 Experimental Results and Analysis
4 Conclusion
References
Image Processing and Computer Vision
Implementing Two Recent Techniques for Delivering Nano-robots to Cancer Area
Abstract
1 Introduction
2 Related Work
3 Implemented Methodology
3.1 Teaching Learning Based Optimization (TLBO)
3.2 Directed Particle Swarm Optimization (DPSO)
4 Simulation and Results
5 Conclusions
References
A Machine Vision Based Automatic Optical Inspection System for Detecting Defects of PCBA
Abstract
1 Introduction
2 Proposed Materials and Methods
2.1 Mobile Image Processing Unit
2.2 Designing Algorithm to Identify PCBAs Missing Components
3 Results and Discussion
4 Conclusion
Acknowledgments
References
Eye Movements Recognition Using Electrooculography Signals
Abstract
1 Introduction
2 Related Work
3 The Proposed Approach
3.1 Preprocessing
3.2 Feature Extraction
3.3 Classification
4 Experimental Results
5 Conclusion
References
RDB-FSU: Residual Dense Network with Feature Selection Unit for Image Super Resolution
Abstract
1 Introduction
2 Related Works and Background
2.1 Pre-up Sampling Super Resolution
2.2 Post-up Sampling Super Resolution
2.3 Progressive up Sampling
2.4 Iterative up and Down Sampling
3 Proposed Model
3.1 Proposed Model Architecture
3.2 Residual in Residual Dense Block (RRDB)
3.3 Feature Selection Unit (FSU)
4 Experimental Result
4.1 Datasets
4.2 Training Details
4.3 Results with Bicubic (BI) Degradation Model
4.4 Results on Video Dataset Benchmark
5 Conclusion
References
Robust and Real-Time Obstacle Region Detection Based on Depth Feature for Vehicle Detection
Abstract
1 Introduction
2 Related Works
3 The Proposed Method
3.1 U-V Disparity
3.2 The Proposed Obstacle Detection
3.3 The Proposed Region Proposals for Deep Learning-Based Vehicle Detection Systems
4 Experimental Results
5 Conclusion
Acknowledgements
References
What is the Message About? Automatic Multi-label Classification of Open Source Repository Messages into Content Types
1 Introduction
2 Background
3 Dataset and Content Hierarchy
3.1 Refactoring of the Content Hierarchy
4 Methodology
5 Results and Discussion
6 Conclusion
References
Path Planning of a Self Driving Vehicle Using Artificial Intelligence Techniques and Machine Vision
1 Introduction and Literature Survey
2 Hardware Modeling and Implementation
3 Proposed Methodology
3.1 Object Detection and Tracking Using Machine Vision
3.2 Vehicle Modeling and Control Using Fuzzy Logic
3.3 Vehicle Modeling and Control Using Neural Networks
3.4 Experimental Work
4 Results and Discussion
5 Conclusion
References
Improving the Data Quality of the MovieLens Dataset Using Dimensionality Reduction Techniques
Abstract
1 Introduction
2 Preprocessing Challenges and Proposed Solutions
3 Dimensionality Reduction Techniques
3.1 Feature Selection
3.2 Feature Extraction
4 Experiment and Analysis
4.1 Dataset Perspective
4.2 User-Item Interaction Perspective
5 Conclusion
References
A Novel Spatial Layout Representation for Object Recognition
Abstract
1 Introduction
2 Related Work
2.1 Rigid Spatial Pyramids
2.2 Image Segmentation to Obtain Depth Layers
3 The Proposed Selective Spatial Layout Representation
3.1 Selective Spatial Pyramids
4 Experiments
4.1 Data Sets
4.2 Experimental Setup
4.3 Selective Spatial Pyramids (Selective SPs)
4.4 Comparison with State-of-the-Art
5 Conclusion
References
Cell Blood Image Segmentation Based on Genetic Algorithm
Abstract
1 Introduction
2 Preliminary
2.1 k-means Algorithm
2.2 Genetic Algorithm
3 Modified Genetic Algorithm by k-means Algorithm
4 Using the Modified Genetic Algorithm by k-means to Perform Image Segmentation (IS)
5 Experimental Results and Comparisons
6 Conclusion
References
Discriminative Representation Learning for Face Recognition
1 Introduction
2 Overview
2.1 Network Backbone
2.2 Evolution of Objective Functions
3 Experimental Evaluation
3.1 Experimental Settings
3.2 Performance Evaluation on Benchmarks
4 Conclusion
References
Towards Real-Time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing
1 Introduction
2 Related Work
3 Methodology
3.1 Event Camera Mechanism
3.2 Algorithm
4 Experimental Results
5 Conclusion
References
An Automatic Detection of Military Objects and Terrorism Classification System Based on Deep Transfer Learning
Abstract
1 Introduction
2 Background and Related Works
2.1 Detection and Classification in Multi-specrtal
3 The Military Detection and Terrorism Classification System
3.1 The Proposed Terrorism Classification System Neural Network
3.2 A Description Layer
3.3 Data Augmentation
4 Experiment and Results
4.1 Dataset
4.2 Results
5 Conclusion and Future Work
References
An Efficient Multi Secret Image Sharing Scheme Using Hill Cipher
Abstract
1 Introduction
2 Related Work
2.1 Hill Cipher
2.2 Blakley’s Secret-Sharing Scheme
2.3 Jothi Scheme
2.3.1 Sharing Phase
2.3.2 Reconstruction Phase
3 The Proposed Scheme
3.1 Sharing Stage
3.2 Recovery Stage
4 Results and Discussion
5 Analysis
6 Conclusion
References
Intelligent Systems and Applications
Cyber-Medicine Service for Medical Diagnosis Based on IoT and Cloud Infrastructure
Abstract
1 Introduction
2 Related Work
3 Proposed Service Oriented Architecture
3.1 Data Provider (DP)
3.2 Master Classifier Agent
3.3 Inference Model
4 Illustrative Example for System-User Interaction
5 Conclusion and Future Work
References
Predicting Stock Market Trends for Japanese Candlestick Using Cloud Model
Abstract
1 Introduction
1.1 Contribution
2 Background
2.1 Cloud Model
2.2 The Fuzzy Time Series Model
2.3 Review of Heikin-Ashi Candlestick Pattern
3 Problem Definition
4 Methodology
4.1 Preparing HD
4.2 Prepressing of HaCndl Data
4.3 HaCndl Representation Using CM
4.4 Forecast the Next Day Price (Open, High, Low, Close) Using FTS Prediction Method Based on CM
4.5 Formalize the Next Day HaCndl Features, Forecast the Trend [9]
5 Experimental Results
6 Conclusion and Future Work
References
Prediction of the Hitec Molten Salt Convective Heat Transfer Performance Using Artificial Neural Networks
Abstract
1 Introduction
2 Physical Model and Numerical Analysis
2.1 Physical Model
2.2 Mathematical Model
2.3 Meshing
2.4 Boundary Conditions and Solution Setup
2.5 Mesh Independence Study
2.6 Performance Indicators
2.7 Numerical Results
3 Neural Network Results and Discussion
4 Conclusion
References
Multi-switching Combination Synchronization of Fractional Order Chaotic Systems
1 Introduction
2 System Description
3 Methodology
4 Illustration
5 Numerical Simulations
6 Conclusion
References
Economic Diversification in a Digital Economy
Abstract
1 Introduction
2 Digital Economy
3 Economic Diversification
4 Conclusion
References
The Fourth Industrial Revolution: Challenges and Opportunities for Mena Region
Abstract
1 Introduction
2 The Fourth Industrial Revolution
3 Human Capital for the Fourth Industrial Revolution
4 Digital Technologies and the Digital Economy
5 Role of Institutions
6 Conclusion
References
Rethinking Economic Development in Muslim Societies in the Context of the Fourth Industrial Revolution
Abstract
1 Introduction
2 The Fourth Industrial Revolution
3 New Model for Development
4 Knowledge Deficit in Muslim Countries
5 Global Value Chains
6 Conclusion
References
Innovative Technology: The Aviation Industry and Customers Preference
Abstract
1 Introduction
2 Literature Review
2.1 The Innovation
2.2 Definition of Innovation
2.3 The Innovation Cycle
2.4 Customers Satisfaction
2.5 Technological Innovation
2.5.1 Improvements in the Old Technology
2.6 Technologies
2.6.1 Radio Frequency Identification RFID Historical Overview
2.7 Near Field Communications NFC
2.8 Always Staying Connected
3 Conclusion
References
The Role of IT Governance in Enhancing the Performance of Smart Universities
Abstract
1 Introduction
2 University Governance
3 IT Governance
4 University IT Governance
4.1 IT Governance Structure
4.2 IT Governance Processes
4.3 IT Governance Relational Mechanisms
5 Benefits
6 Changing Environment of Higher Education
7 Conceptual Framework for IT Governance Considering Changing Environmental Factors
8 Conclusion
References
Outlook on Security and Privacy in IoHT: Key Challenges and Future Vision
1 Introduction
2 IoT Enabling Technologies
3 IoT Communication Protocols
4 Internet of Healthcare Things (IoHT)
4.1 IoHT Application
4.2 Network Architecture
4.3 Data Security
5 Discussions and Future Vision
6 Conclusions and Future Work
References
Dynamic Analysis of a Fractional Map with Hidden Attractor
1 Introduction
2 Description of the Proposed System
3 Dynamics Analysis
3.1 Fixed Point
3.2 Numerical Simulation
4 Conclusion
References
A Comparative Analysis of Different Feature Extraction Techniques for Motor Imagery Based BCI System
Abstract
1 Introduction
2 Materials and Methods
2.1 Methodology
2.2 Datasets
2.3 Feature Extraction
2.4 Classification
2.5 Evaluation
3 Experimental Results
4 Conclusion
References
Reversible Watermarking for Protecting Patient’s Data Privacy Using an EPR-Generated QR Code
Abstract
1 Introduction
2 Literature Review
3 Proposed Watermarking Technique
3.1 Embedding Technique
3.2 Extraction Technique
4 Results and Discussion
5 Conclusion
References
Dimensions of Agility Capabilities Organizational Competitiveness in Sustaining
Abstract
1 Introduction
2 Literature Review
2.1 Agility Capability: Flexibility
2.2 Agility Capability: Learning
2.3 Agility Capability: Speed
2.4 Agility Capability: Innovation
2.5 Agility Capability: Strategy
2.6 Competitive Advantage
2.7 Relevant Theoretical Frameworks
3 Sustainability and Research Impact
4 Organization Agility and Intelligence Systems
5 Methodology
6 Conclusion and Future Work
References
Skill Gaps in Management Information Systems Alumni
Abstract
1 Introduction
2 Literature Review
3 Research Methodology
4 Results
5 Conclusion
References
Internet of Things for Learning Styles and Learning Outcomes Improve e-Learning: A Review of Literature
Abstract
1 Introduction
2 Literature Review
2.1 Effect of IoT on LSs, and LOs via e-Learning
2.2 Effect of LS on LOs
3 Discussion and Conclusion
References
Factors Influencing Electric Vehicles Adoption in Bahrain: Proposed Research
Abstract
1 Introduction
2 Literature Review
3 Conclusion
References
Intelligent Monitoring Technology of the Substation Based on the Micro System
Abstract
1 Introduction
2 Domestic and Overseas Advance
3 Related Project Theory Basis
3.1 Embedded Processing Technology
3.2 The Domestic Research of IEC 61850 Standard
3.3 Intelligent Equipment Standard System Preliminary Established at a Time
3.4 The Further Development of the Optical Fiber Communication Technology
4 The Project Plan as a Whole
5 Conclusion
References
Remote Collaboration in a Complex Environment
Abstract
1 Introduction
1.1 Related Work
1.1.1 AR Based Remote Collaboration
1.1.2 Track DLO
2 System Design and Implementation
2.1 System Framework
2.2 Detect and Trace a DLO
2.2.1 Superpixel Segmentation
2.2.2 Iterative Walk
2.2.3 Occlusion Handling
2.3 Track DLOs
2.4 Interface of Client User and Remote Expert
3 Implementation and Preliminary Test
4 Conclusions
References
Home Appliances Control Using Android and Arduino via Bluetooth and GSM Control
Abstract
1 Introduction
2 System Design
3 Performance, Experiment and Results
4 Conclusion and Suggestion
References
Intelligent Networks
Multi-hop Route Planning Based on Environment Information for Path-Following UAVs
Abstract
1 Introduction
2 Related Works
3 Grid-Based UAV Path Planning
3.1 Grid-Based Flight Map
3.2 Grid-to-Grid Distance
3.3 Shortest Path
4 Simulations
4.1 Preliminary
4.2 Results
5 Conclusion
Acknowledgement
References
Experimental Comparison of Different Feature Detection Algorithms for UAV Obstacle Avoidance
Abstract
1 Introduction
2 Related Work
3 Method
4 Experimental Results
5 Conclusion
Acknowledgement
References
Gene Regulatory Network Construction Parallel Technique Based on Network Component Analysis
Abstract
1 Introduction
2 Network Component Analysis (NCA) Techniques
3 Proposed Algorithm (ePFastNCA)
4 Implementation and Results
5 Conclusion
References
Enhanced Security of Home Registration in the Hierarchical Mobile IPv6 Protocol for IoT Applications
Abstract
1 Introduction
2 Overview of the E-HAR Protocol
2.1 Extending the MAP Functions
2.2 The Synchronised RCoA Reachability Test
3 E-HAR Protocol in Detail
4 Performance Evaluation
5 Conclusion
Acknowledgment
References
Author Index