Digital Technologies and Applications: Proceedings of ICDTA 21, Fez, Morocco (Lecture Notes in Networks and Systems Book 211)

This book gathers selected research papers presented at the First International Conference on Digital Technologies and Applications (ICDTA 21), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 29–30 January 2021. highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, information processing, and their applications in several areas such as hybrid vehicles, renewable energy, robotic, and COVID-19. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice. Foreword Preface Acknowledgments Contents Artificial Intelligence, Machine Learning and Data Analysis New Reconfiguration of the Radial Distribution Network by Using the Chaotic Mapping and the Success Rate to Improve the PSO Algorithm 1 Introduction 2 Problematic Reformulation 2.1 Objective Function 2.2 PSO Algorithm 2.3 Test Case 3 Test and Results 4 Conclusion References Convolutional Neuronal Networks for Tumor Regions Detection in Histopathology Images 1 Introduction 2 Related Works 3 Proposed Approach 4 Experiments and Results 4.1 Data Collection 4.2 Experimental Setup 4.3 Results 5 Conclusion References Early Detection of Wheat Diseases in Morocco by Convolutional Neutral Network 1 Introduction 2 Material and Methods 2.1 Data 2.2 Software Tools 2.3 Methodology 3 Results 3.1 Effect of Hyper Parameters Variation 3.2 Choice of Model 4 Discussion 5 Conclusion References Genetic Algorithm Design Optimization for Non-standard Spur Gears 1 Introduction 2 Problem Definition 2.1 Gear Basic Volume Equation for the First Model 2.2 Gear Volume Equation with Bottom Clearance Equation Volume Using the Profile Shift Factor X for Second Model 3 Method 3.1 Genetic Algorithm 3.2 The Constraint Functions and Strength Calculation 4 Results and Discussion 5 Conclusion References A Robust Method for Face Classification Based on Binary Genetic Algorithm Combined with NSVC Classifier 1 Introduction 2 Genetic Algorithm (GA) 3 Neighboring Support Vector Classifier 4 Results and Discussion 4.1 Datasets Description 4.2 NSVC Classifier 4.3 Genetic Algorithm Based Feature Selection 4.4 GA and NSVC Classifier Parameters 5 Conclusion References A Proposed Solution to Road Traffic Accidents Based on Fuzzy Logic Control 1 Introduction 2 Summary of Data Analytics Phase 3 Fuzzy Logic Control 4 Semi-autonomous Car 5 Proposed Solutions 6 The Proposed Approach 7 Conclusion References Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks 1 Introduction 2 Problem Formulation 3 Optimization Algorithms 4 Results and Discussions 4.1 Test System 4.2 Simulation Strategies 4.3 Simulation Results of Single-Objective Functions 4.4 Simulation Results of Multi-objective (MO) Functions 5 Conclusions References The Recurrent Neural Network for Program Synthesis 1 Introduction 2 Related Work 3 Problem Statement 4 The Proposed Contribution 4.1 Stack OverFlow 4.2 Data Preparation 4.3 LSTM Neural Networks 4.4 Network Architecture and Choice of Parameters 5 Experimental Results 6 Conclusion References MaskNet: CNN for Real-Time Face Mask Detection Based on Deep Learning Techniques 1 Introduction 2 Related Work 3 Proposed Method 3.1 Dataset Description 3.2 Proposed Approach 3.3 Transfer Learning 3.4 Training from Scratch 4 Experimental Results 4.1 Dataset Preparation 4.2 Result and Analysis 5 Conclusion References Machine Learning System for Fraud Detection. A Methodological Approach for a Development Platform 1 Introduction 2 Fraud Detection: Data and System Challenges 3 Machine Learning Methodology and Application to Fraud Detection 3.1 Data Collection and Storage 3.2 Data Processing 3.3 Model Building 3.4 Model Evaluation 4 Credit Card Fraud Detection Use Case: Experimentation and Evaluation 4.1 Data Collection 4.2 Data Processing 4.3 Model Building 4.4 Model Evaluation 4.5 Results Analysis 5 ML Model Development Platform 5.1 General Architecture 5.2 Distributed Data System 5.3 Distributed Treatment System 5.4 Spark ML Algorithms 5.5 Integrated Development Environment 6 Conclusion and Future Work References U-Net: Deep Learning for Extracting Building Boundary Collected by Drone of Agadir’s Harbor 1 Introduction 2 Related Works 3 Materiel and Method 3.1 Study Area 4 Methodology 4.1 Data Preparation 4.2 Model Architecture 4.3 Modeling Approached 4.4 Optimal Learning Rate 4.5 Evaluating Model Accuracy 5 Results 5.1 Preview Results 5.2 Extracting Building Footprints 6 Conclusion References Analysis and Classification of Plant Diseases Based on Deep Learning 1 Introduction 2 Plant Diseases 2.1 Bacterial Plant Diseases 2.2 Fungal Plant Diseases 2.3 Viral Plant Diseases 3 Image Classification Based on Deep Learning 4 Plant Diseases Classification 4.1 VGG 4.2 Inception V3 4.3 MobileNet 4.4 AlexNet 5 Experimental Results 6 Conclusion References A Novel Approach to Data Augmentation for Document Image Classification Using Deep Convolutional Generative Adversarial Networks 1 Introduction 2 Paper Context 2.1 Enterprise Resources Planning (ERP) 2.2 Problematic 2.3 Related Works 3 DCGAN-Based Data Augmentation 3.1 Data Augmentation 3.2 Deep Convolutional Generative Adversarial Networks 4 Our Contribution 4.1 Overview 4.2 Materials and Methods 5 Results and Discussion 5.1 Data Generation 5.2 Data Augmentation and Performance Comparison 6 Conclusion and Perspectives References Knowledge Driven Paradigm for Anomaly Detection from Tweets Using Gated Recurrent Units 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation 5 Conclusions References Stacked Deep Learning LSTM Model for Daily Solar Power Time Series Forecasting 1 Introduction 2 Predictive Patterns 2.1 Database 2.2 Recurrent Neural Network Pattern 2.3 Evaluation Metrics 3 Proposed Approach 4 Results and Discussion 5 Conclusion References A Comparison Study of Machine Learning Methods for Energy Consumption Forecasting in Industry 1 Introduction 2 Related Work 3 Background 3.1 Recurrent Neural Networks 3.2 Artificial Neural Networks 3.3 Support Vector Machine 3.4 Regression Linear 3.5 Decision Tree 4 Simulations Results and Discussion 4.1 Data Analysis 4.2 Simulation Results 5 Conclusion References The Review of Objectives, Methods, Tools, and Algorithms for Educational Data Mining 1 Preliminaries 2 Educational Data Mining 3 Selection of Features 4 Objectives of Educational Data Mining (EDM) 4.1 Learners 4.2 Teachers 4.3 Researchers 4.4 Administrators 5 Methods Used for Educational Data Mining (EDM) 5.1 Prediction 5.2 Clustering 5.3 Relationship Mining 5.4 Distillation 5.5 Outliers Detection 5.6 Social Network Analysis 5.7 Process Mining 5.8 Text Mining 6 Algorithms Used for Educational Data Mining (EDM) 6.1 K-means 6.2 Apriori 6.3 EM Algorithm 6.4 PageRank Algorithm 6.5 C4.5 Algorithm 7 The Available Tools for Educational Data Mining (EDM) 7.1 Rapid Miner 7.2 Weka 7.3 Orange 7.4 R 7.5 Knime-Primarily 7.6 Tanagra 7.7 XL Miner 7.8 Microsoft Excel 8 Conclusion References Brain-Computer Interface: A Novel EEG Classification for Baseline Eye States Using LGBM Algorithm 1 Introduction 2 Methods 2.1 Dataset 2.2 Feature Extraction 2.3 Feature Selection 2.4 Classification 2.5 Evaluation Metrics 3 Results 3.1 Feature Selection Results 3.2 Classification Results 4 Conclusion References A Light Arabic POS Tagger Using a Hybrid Approach 1 Introduction 2 Related Works 3 Our Approach 3.1 Data Set 3.2 Processing 3.3 Combining the Two Approaches 4 Experiments 4.1 Evaluation 1 4.2 Evaluation 2 4.3 Evaluation 3 4.4 Evaluation 4 5 Exploitation 6 Conclusions and Future Works References RSEPUA: A Recommender System for Early Predicting University Admission 1 Introduction 2 Related Work 3 Settings and Basic Definitions 3.1 Recommender Systems 3.2 Algorithms 3.3 Evaluation Methods 4 Proposed Methodology 5 Proposed Recommender System 6 Results and Discussion 6.1 Correlation Between the Parameters Profile and the Chance of Admission 6.2 Comparison of Machine Learning Algorithms for Predicting University Admission 6.3 Most Important Parameters Influence the Chance of Admission 7 Conclusion and Future Work References Forecasting Students’ Academic Performance Using Different Regression Algorithms 1 Introduction 2 Related Literature 3 Dataset 4 Methodology 4.1 Ancova 4.2 Logistic Regression (Logit-R) 4.3 Support Vector Regression (SVR) 4.4 Log-Linear Regression (Log-LR) 4.5 Decision Tree Regression (DTR) 4.6 Random Forest Regression (RFR) 4.7 Partial Least Squares Regression(PLS-R) 5 Results and Discussion 6 Conclusion and Future Work References Computational Analysis of Human Navigation Trajectories in a Spatial Memory Locomotor Task 1 Introduction 2 Materials and Method 2.1 Neuropsychological Assessments 2.2 Experimental Data 2.3 Participants 2.4 Visual Replication 2.5 Target Detection Algorithm 3 Results 3.1 Classification of Subjects Based on the Length of the Sequence 3.2 Overall General Classification Based on Average Speed and Time Spent Within the Target 3.3 A Detailed Classification Based on Average Speed and Time Spent Within the Target for Each Class Sequence Length 4 Discussion 5 Conclusion References: An Electrocardiogram Data Compression-Decompression Technique Based on the Integration Filtering of Peaks’ Amplitude Signal 1 Introduction 2 Theory 2.1 Slop Change Coefficients 2.2 Integrator Filter 3 Compression Stage 3.1 Slop Change Coefficients of ECG Signal 3.2 Signal Time Scale Recovery 3.3 Generation of Null Samples 4 Decompression Stage 4.1 Electrocardiogram Database 4.2 Evaluation Criteria 4.3 Results of Compression/Decompression Technique 5 Conclusion References Internet of Things, Embedded Systems, Blockchain and Security Narrowband IoT Evolution Towards 5G Massive MTC: Complete Performance Evaluation 1 Introduction 2 NB-IoT Overview 2.1 3GPP Specifications and Numerology of NB-IoT 2.2 Signals and Physical Channels of NB-IoT 3 Performance Evaluation Against 5G mMTC Requirements 3.1 Coverage 3.2 Throughput 3.3 Latency 3.4 Battery Life 3.5 Connection Density 4 Conclusion References A Fuzzy Ontology Driven Integrated IoT Approach for Home Automation 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation 5 Conclusions References Towards an IoT/Big-Data Platform for Data Measurements, Collection and Processing in Micro-grid Systems 1 Introduction 2 MG Layers Structure for Energy Efficient Buildings 2.1 Communication Technology Used for MG System 2.2 Data Sensing and Communication 2.3 IoT/Big-Data Platform for Data Collection 3 Experimental Platform of MG Systems 4 Conclusions References Smart Hospitals and Cyber Security Attacks 1 Introduction 1.1 Internet of Things and COVID-19 1.2 Cyber-Attack Examples 2 Related Work 3 The Proposed System 3.1 Man in the Middle Attack 3.2 The Proposed System 4 Implementation and Results Analysis 4.1 The Prerequisites 5 Conclusion References Design of an Automatic Control and IoT Monitoring System for Dual Axis Solar Tracker 1 Introduction 2 Dual Axis Solar Tracker Based on Light Sensors 3 Photovoltaic Monitoring System 4 Results and Discussion 5 Conclusion References Analysis Jamming Attack Against the Protocol S-MAC in IoT Networks 1 Introduction 2 IoT Security 2.1 IoT Security Objective 2.2 IoT Attacks Classification 3 Jamming Attack on S-MAC Protocol 3.1 The Functioning of S-MAC Protocol 3.2 Jamming Attack 4 Jamming Attack Implementation and Results 4.1 Simulation OMNeT++ 4.2 Results and Discussion 5 Conclusion References Simulation and Analysis of Jamming Attack in IoT Networks 1 Introduction 2 IoT Security 2.1 IoT Security Objective 2.2 IoT Attacks Classification 3 Jamming Attack on S-MAC Protocol 3.1 The Functioning of S-MAC Protocol 3.2 Jamming Attack 4 Attack Implementation and Results 4.1 Proposed System 4.2 Simulation 4.3 Results and Discussion 5 Conclusion References A Brief Survey on Internet of Things (IoT) 1 Introduction 2 Internet of Things 3 Application Area 4 IoT Challenges 4.1 Security 4.2 IoT Architecture 4.3 Interoperability in IoT 4.4 Data Storage and Analysis 5 Research Evolution 6 Conclusion References Design and Implementation of Smart Irrigation System Based on the IoT Architecture 1 Introduction 2 Design of the System 2.1 System Architecture 2.2 Wireless Communication Protocols 3 System Implementation 4 Results and Discussion 5 Conclusion and Future Work References Lightweight Key Exchange Algorithms for MQTT Protocol in Its Environment 1 Introduction 2 Related Work 3 Overview of the Exploited Technologies 3.1 Key Exchange Algorithms 3.2 Spongent Hash Function 3.3 PCG-Rand Random Number Generator 4 The Proposed Key Exchange Algorithm 4.1 Generate and Exchange Stage 4.2 Encryption MQTT Payload Scenario Stage 4.3 Security Analysis 5 Discussion 6 Conclusion References IoT Design and Realization of a Supervision Device for Photovoltaic Panels Using an Approach Based on Radiofrequency Technology 1 Introduction 2 Materials and Methods 2.1 Measure Voltage and Current 2.2 Radio Frequency Communication 3 Results and Discussion 4 Conclusion References ESP8266 Wireless Indoor Positioning System using Fingerprinting and Trilateration Techniques 1 Introduction 2 Wireless Positioning Systems 2.1 Related Works 2.2 Our Contribution 2.3 Positioning Wireless Technologies 2.4 Positioning Methods 2.5 Positioning Techniques 2.6 ESP8266 Module 3 Experimental Work and Results 3.1 Locating Using Fingerprinting 3.2 Locating Using Fingerprinting/Trilateration 3.3 Comparison of Our Contribution to Existing Methods 4 Conclusion References High Performance Predictive Control for Permanent Magnet Synchronous Machine Drive: FPGA-Based Implementation 1 Introduction 2 Non-linear Model of PMSM Motor 3 Predictive Controller Observer Minimum Variance 4 Results and Simulations 4.1 Pursuit Test 4.2 Robustness Test 4.3 Parametric Uncertainties 5 FPGA-Based Implementation of an Robust Predictive Control 6 Conclusion References High-Level Synthesis Implementation of Monocular SLAM on Low-Cost Parallel Platforms 1 Introduction 2 Related Work 3 Algorithm Study 3.1 ORB-SLAM System 3.2 Map Initialization 4 Heterogeneous Implementation 4.1 Accelerated Normalize Version 4.2 OpenCL Hardware Implementation 5 Architectures Description and Evaluation 5.1 Architectures Description 5.2 Results and Discussion 6 Conclusion References Improving Multispectral Image Processing for Real-Time Agricultural Indices Tracking Using an Embedded System 1 Introduction 2 Embedded Systems in Precision Agriculture 3 Evaluation and Results 4 Discussion 5 Conclusion References Design and Implementation of an Open Source and Low-Cost Nanosatellite Platform 1 Introduction 2 Open-Source Design Approach 3 Open-Source Hardware Platform Design 3.1 Modularity of the Nanosatellite Platform 3.2 Open-Source Arduino Technology 3.3 Hardware Platform Architecture 4 Open-Source Software Platform Design 4.1 Preparation of the Free Development Environment Atmel Studio 7 4.2 Implementation of FreeRTOS Operating System 4.3 On-Board Computer Library 4.4 Implementation of a Communication Protocol Over I2C Bus 5 Implementation, Test and Results 6 Conclusions and Future Work References Design and Realization of Fire Safety System for Controlling and Monitoring a Siren Using Arduino Uno 1 Introduction 2 Description of the Proposed Fire Safety System 3 Description of the Tools Used 3.1 Arduino Uno Card 3.2 Voltage Sensor V < 25 V and Photo-Coupler PC817 3.3 H-Bridge 3.4 16 * 2 LCD Display and Bipolar Transistor TIP120 NPN 3.5 Voltage Regulator LM317 and AVS 200SIP Siren 4 Simulation and Hardware Realization of the Proposed Fire Safety System 4.1 Simulation 4.2 Hardware Realization 5 Conclusion References Water-Purifying Distiller with a Cooling System Controlled by a Photovoltaic Panel 1 Introduction 2 Experimental Part 2.1 Equipment and Materials 2.2 Experiences 2.3 Electronic components 2.4 Grouping of photovoltaic cells 2.5 Electrical Characteristics of a Photovoltaic Cell: 3 Results and Discussion 4 Conclusion References Security at the Application Layer and the Physical Layer in 5G 1 Introduction 2 Security at the Application Layer 3 Security at the Physical Layer 3.1 The First Method: Using the Authentication Method EAP/AKA 3.2 The Second Method: Physical Layer Security Assisted Encryption Scheme in F-OFDM System 3.3 The Third Method: Quantum Cryptography 3.4 The Fourth Method 3.5 The Fifth Method: Authentication with Kolmogorov-Smirnov (K-S) 3.6 The Sixth Method 3.7 The Seventh Method: Two Path Successive Relaying 4 Discussion 5 Conclusion References Blockchain Based Security and Privacy in VANETs 1 Introduction 2 Background 2.1 What is VANET? 3 Privacy and Security Requirements in VANET Applications 3.1 Privacy Requirements 3.2 Security Requirements 4 Non-blockchain Based Solutions 4.1 Pseudonym/ID Based Authentication Schemes 4.2 Group Signature Scheme 4.3 Cryptography Based Schemes 4.4 Message Authentication Code Schemes 4.5 Broadcasting Schemes 5 Blockchain and Its Applications 5.1 Currency 5.2 Finance 5.3 Voting 5.4 Smart Contracts 5.5 Identity 6 Blockchain Based Solutions 7 Conclusion References Dynamic Data Protection for Mobile Agents: XACML/ABAC Policies 1 Introduction 2 General System Architecture 3 Creation of Agent Data Access Control Policies 3.1 Estimate the Security Level of a Component (SLC) 3.2 Estimate the Degree of Confidence in the Platforms 4 Mobile Agent Data Protection 4.1 Protection of Data Collected on a Platform 4.2 Access to Encrypted Data by Other Platforms 5 Protection of Dynamic Mobile Agent Data Against Different Types of Attacks 6 Conclusion References Securing the Storage of Passwords Based on the MD5 HASH Transformation 1 Introduction 2 Related Works 3 Proposed Method 3.1 Explanation of the Method 3.2 Resistance Against Attacks 4 Experimentation 4.1 Generating HASH 4.2 Recover the original HASH 5 Conclusion References Is Blockchain Technology Applicable in Small and Medium-Sized Enterprises? 1 Introduction 2 Blockchain Adaptability in SMEs from a Human Resource Management Perspective 3 Blockchain Adaptability in SMEs from a Strategic Management Perspective 4 Blockchain Adaptability in SMEs from a Finance Perspective 5 Results and Discussion 5.1 The Performance Issues of DTL Design 6 Conclusion References Anomaly Detection from Log Files Using Multidimensional Analysis Model 1 Introduction 2 Related Work 3 Business Intelligence Approach 4 Proposed Methodology 5 Result and Discussion 5.1 Multidimensional Design 5.2 Extraction, Transformation and Loading Phase 5.3 Creating the OLAP Cube Phase 5.4 Multidimensional Analysis 6 Conclusion References Web-Based Techniques and E-Learning A Review on Content Based Recommender Systems in Tourism 1 Introduction 2 Background 2.1 Definition of Recommender Systems 2.2 Classification of Recommender Systems 3 Related Works 4 Content-Based Recommender Systems for Tourism 4.1 Planning Recommendations 4.2 Travel Package Recommendations 4.3 Group Recommendations 4.4 Point of Interest Recommendations 5 Conclusion References Towards Semantic Web Services Density Clustering Technique 1 Introduction 2 Related Works 3 Proposed Approach Based on Density Clustering 3.1 Semantic Service Similarity Measurement 3.2 Semantic WS Based DBSCAN Clustering 4 Implementation and Performance 5 Conclusion References KSTAR: A Knowledge Based Approach for Socially Relevant Term Aggregation for Web Page Recommendation 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Random Forest Classification 3.2 Data Preparation 3.3 Classification of terms using Random Forest 3.4 Optimizing the Classified Content Using ACO 4 Implementation 5 Results and Performance Evaluation 6 Conclusions References MKSTD: Multiple Knowledge Sourcing Approach for Topic Directories Construction and Linking Web Pages Using Fusion Semantics 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation 5 Results and Performance Evaluation 6 Conclusions References A Fuzzy Near Neighbors Approach for Arabic Text Categorization Based on Web Mining Technique 1 Introduction 2 Preliminaries 2.1 A Web Data Mining 2.2 Fuzzy C-means Clustering Algorithm 3 Related Work for Arabic Text Categorization 4 Our Approach 4.1 Methodology 5 Evaluation and Discussion 5.1 Corpora Summary 5.2 Experimental Procedure and Performance Measure 5.3 Dimensionality Reduction 6 Conclusion References Recommendation System Based on Semantic Web Approach 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Semantic Web 3.2 Design Flowchart of Our Proposed Work 4 Results and Discussion 5 Conclusion References Sentiment Analysis of Moroccan Tweets Using Text Mining 1 Introduction 2 Background and Literature Review 2.1 Application Areas of Sentiment Analysis 2.2 Related Works 2.3 Challenges of Analyzing Arabic Language 3 Methodology 3.1 Dataset Collection 4 Dataset Experiments 4.1 Dataset Preparation 5 Dataset Experiments 6 Conclusion References Contribution of Digital Collaboration and E-Learning to the Implementation of Smart Mobility in Morocco 1 Introduction 2 Research Problem 3 Background on Mobility and Training and the Challenges of Digital Transformation in Morocco 3.1 Mobilize Your City Initiative 3.2 Roadmap for Sustainable Mobility in Morocco 3.3 National Vocational Training Strategy (SNFP 2021) 3.4 Strategic Vision for the 2015–2030 Reform of Éducation, Training and Scientific Research 3.5 Maroc Digital 2020 4 Analysis of the Situation of Mobility, Training and Digital Transformation in Morocco 4.1 Analysis of the Mobility Situation in Morocco 4.2 Analysis of the Professional Training Situation in Morocco 4.3 SWOT Analysis of the Situation of Digital Transformation in Morocco 5 Prototype of Virtual Platform for Collaboration and E-Learning 5.1 Description of the Prototype 5.2 Components of the Prototype 5.3 Benefits of the Virtual Platform 5.4 Models of the Prototype 6 Conclusions and Recommendations References MOOCs Semantic Interoperability: Towards Unified and Pedagogically Enriched Model for Building a Linked Data Repository 1 Introduction 2 Background and Literature Review 2.1 Semantic Web to Enhance Educational Resources Interoperability 2.2 Related Work 3 MOOCs Semantic Integration 3.1 Proposed Approach 3.2 Theoretical Foundation for the Pedagogical Classification of MOOCs 4 Implementation 4.1 Ontology Design and Modeling 4.2 Data Extraction and Integration 4.3 SPARQL Endpoint 5 Conclusion References IBN TOFAIL UNIVERSITY: From Classical University to Smart University 1 Introduction 2 Smart Cities Concept 3 Smart University Concept 4 UIT Smart University 5 Methodology 6 Systems Involved in UIT Smart University 6.1 Smart Classrooms 6.2 Smart Library 6.3 Fire Detection Systems 6.4 Smart Parking 6.5 Smart Waste Management System 7 Challenges and Issues 8 Conclusion References Collaborative Metacognitive Technique in Smart Tutoring System 1 Introduction 2 Background 2.1 Collaborative Design Phase 2.2 Inquiry-Based Learning 3 Collaborative Meta-cognitive Techniques 3.1 The Concept 3.2 Meta-cognitive Strategies 4 Description of the Contribution 4.1 The Process of Integrating Collaborative Meta-cognitive Technique into Smart Tutoring System 4.2 Collaborative Design Phase 5 Implementation Phase 5.1 Environment: Storyline 5.2 Simulation of the Proposed Approach 6 Conclusion References Enhancing Education System with a Q&A Chatbot: A Case Based on Open edX Platform 1 Introduction 2 Background 3 Architecture and Description 4 Results 5 Conclusion References A Multi-agent and Content-Based Course Recommender System for University E-learning Platforms 1 Introduction 2 Classification of Recommendation Methods 2.1 Collaborative Filtering (CF) 2.2 Content-Based Recommendation (CBF) 2.3 Hybrid Recommendation Methods 3 Related Works 4 Discussion 5 Methodology 5.1 Recommendation Filtering Techniques 5.2 Experimental Results 6 Conclusion and Future Work References Image and Information Processing Sentiment Classification for Moroccan Arabic Using the Lexicon-Based Approach 1 Introduction 2 Related Work 3 Lexicon Based Approach 3.1 Arabic Text Pre-processing 3.2 Lexicon Rules and Construction 4 Experimental Results 5 Conclusion References Forecasting Tourism Demand in Marrakech with SQD-PCA-SVR 1 Introduction 2 Literature Review 2.1 Forecasting Tourism Demand 2.2 Support Vector Regression 2.3 Principal Component Analysis 3 Methodology 4 Empirical Study 4.1 Data Description 4.2 Feature Extraction Using PCA 4.3 Model Implementation 5 Conclusions References Toward Improving Arabic Text Preprocessing in Sentiment Analysis 1 Introduction 2 Related Work 3 Role of Preprocessing in Sentiment Analysis Methodology 3.1 Challenges of Arabic Language in Social Networks 3.2 Sentiment Analysis Methodology 3.3 Text Preprocessing Tasks in Depth 4 Implementing the Preprocessing Schemes 4.1 Dataset Description 4.2 Text Preprocessing Schemes 4.3 Machine Learning Approach 5 Results and Discussion 6 Conclusion References IIMDR: Intelligence Integration Model for Document Retrieval 1 Introduction 2 Related Work 3 Proposed Architecture 3.1 Pre-processing 3.2 Synonimization and SPARQL Endpoint Based Enrichment 3.3 Classification of Dataset 3.4 Concept Similarity Computation 4 Recommender System Framework 4.1 Data Pre-processing 4.2 XML Creation (Custom) 4.3 Pattern Identification and Concept Extraction 4.4 Jaccard Similarity 5 Data Collection and Preprocessing 5.1 Implementation 6 Performance Evaluation 7 Conclusions References Effective Application of Information Technology Tools for Real-Time Project Management 1 Introduction 2 Theoretical Background 3 Methods 4 Results 4.1 The Significance Level of Variables 4.2 The Correlation of Variables 4.3 Ranking of Variables 5 Discussion 6 Conclusion References HCODF: Hybrid Cognitive Ontology Driven Framework for Socially Relevant News Validation 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation and Performance Evaluation 5 Conclusions References Understanding Customer Adoption of E-banking 1 Introduction 2 Literature Review 3 Main Factors of E-banking Adoption 3.1 Ease of Use and Facilitating Conditions 3.2 Perceived Usefulness and Performance Expectancy 3.3 Trust 3.4 Social Influence 3.5 Cost and Price Value 3.6 Behavioral Intention 4 Recommendations 5 Conclusion References Amalgamation of Novel Objective Function and Multi-sink Solution for a Reliable RPL in High Traffic Monitoring Applications 1 Introduction 2 Related Works 3 Proposed Contribution 3.1 Metrics of Interest 3.2 Routing and Decision Processes 4 Results and Discussion 4.1 Reliability Investigation 4.2 Energy Investigation 4.3 Stability Investigation 5 Conclusion References Wireless Sensor Network Fault Detection and Isolation for Smart Irrigation 1 Introduction 2 Problem Statement 3 Residual Generation 4 Simulation Results 5 Conclusion References Multi-resolution Texture Analysis for Osteoporosis Classification 1 Introduction 2 Feature Extraction Process 2.1 Local Binary Pattern (LBP) 2.2 Proposed Feature Extraction Architecture Diagram 3 Experimental Results 3.1 Tests Protocol 3.2 Performance Tests Results 4 Conclusion and Further Works References High Performance Decoding by Combination of the Hartmann Rudolph Decoder and Soft Decision Decoding by Hash Techniques 1 Introduction 2 Related Works 3 The Proposed Serial Concatenation 3.1 HR Algorithm 3.2 Soft Decision Decoding by Hash Techniques (SDHT) 3.3 Our Proposed Concatenation Algorithm 4 Simulation Results and Discussions 5 Conclusions References Automated Assessment of Question Quality on Online Community Forums 1 Introduction 2 Related Work 2.1 Text Classification 2.2 Question Quality Assessment 3 Automated Quality Assessment of Community Questions 3.1 Task Definition 3.2 Data Preprocessing 3.3 Word Embeddings 3.4 Model 3.5 Loss Function 4 Datasets and Implementation Details 4.1 Datasets 4.2 Implementation Details 5 Experiments and Results 5.1 Quantitative Results 5.2 Qualitative Results 6 Conclusion References QFRDBF: Query Facet Recommendation Using Knowledge Centric DBSCAN and Firefly Optimization 1 Introduction 2 Related Work 3 Proposed System Architecture 4 Implementation 5 Performance Evaluation and Results 6 Conclusions References SentiFusion (SF): Sentiment Analysis of Twitter Using Fusion Techniques 1 Introduction 2 Related Work 3 Proposed System Architecture 3.1 Data Preparation and Pre-processing 3.2 Feature Extraction 3.3 Feature Fusion 3.4 Feature Weighting Using Shannon Entropy 3.5 Bagging 4 Sentiment Computation Using SentiWordNet 5 Implementation and Performance Evaluation 6 Conclusions References Using Internet of Things to Increase Efficient Collaboration in PLM 1 Introduction 2 Literature Review 3 Internet of Things in PLM Tool Towards Efficiency in Management Data Flows 4 Conclusion References ECC Image Encryption Using Matlab Simulink Blockset 1 Introduction 2 Elliptic Curve on mathbbFP 3 Construction of a Secret Key 3.1 Diffie-Hellman Key Exchange 3.2 Secret Encryption Matrix 4 Encryption Algorithm 5 Decryption Algorithm 6 Example and Illustration 7 Conclusion References Development of Large Chaotic S-boxes for Image Encryption 1 Introduction 2 Proposed Method 2.1 Preparation of Plain Image 2.2 Chaotic Sequences Generation 2.3 Encryption Settings 2.4 Encryption Process 2.5 Decryption Process 3 Experimental Results 4 Security Analysis 4.1 Correlation Analysis 4.2 Histogram Analysis 4.3 Entropy Analysis 4.4 Brute Force Attack 4.5 Differential Attacks 5 Conclusion References Evaluation of Feature Extraction Methods Combined with Support Vector Machines for Powerline Component Recognition in Aerial Images 1 Introduction 2 Methodology 2.1 Histogram of Oriented Gradients Extractor 2.2 Local Binary Pattern Extractor 2.3 Scale Invariant Feature Transform Descriptor 2.4 Support Vector Machines Classifier 3 Experiments and Results 4 Conclusion References A Novel Brain Tumor Detection Approach Based on Fuzzy C-means and Marker Watershed Algorithm 1 Introduction 2 Related Works 3 Fuzzy C-means Algorithm 4 Marker Controlled Watershed Algorithm 5 Thresholding 6 The Proposed Method 7 Experimental Results and Discussion 8 Conclusion References Image Retrieval Based on MPEG-7 Feature Selection Using Meta-heuristic Algorithms 1 Introduction 2 Related Works 3 Materials and Methods 3.1 Features Extraction 3.2 Feature Selection 3.3 Proposed Image Retrieval Algorithm 4 Results and Discussion 4.1 Image Data-Set and Evaluation 5 Conclusion References A Powerful and Efficient Method of