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ویرایش: [2] نویسندگان: Janusz Kacprzyk (editor), Valentina E. Balas (editor), Mostafa Ezziyyani (editor) سری: Advances in Intelligent Systems and Computing 1418 ISBN (شابک) : 9783030906337, 3030906337 ناشر: Springer Nature سال نشر: 2022 تعداد صفحات: [1298] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 145 Mb
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در صورت تبدیل فایل کتاب Advanced Intelligent Systems for Sustainable Development (AI2SD'2020) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب سیستم های هوشمند پیشرفته برای توسعه پایدار (AI2SD'2020) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب بهترین مقالات پذیرفته شده و ارائه شده در سومین ویرایش کنفرانس بین المللی سیستم های هوشمند پیشرفته برای توسعه پایدار کاربردی در کشاورزی، انرژی، بهداشت، محیط زیست، صنعت، آموزش، اقتصاد و امنیت (AI2SD’2020) را منتشر می کند. این کنفرانس یکی از بزرگترین ادغام محققان، دانشجویان و نمایندگان برجسته از دانشگاه و صنعت است که در آن همکاران به فناوری و رویکردهای نوظهور در سطح جهانی دسترسی تعاملی دارند. در این کتاب، خوانندگان آخرین ایدهها را در مورد مسائل فنآوری مرتبط با همه حوزههای علوم اجتماعی و انسانی برای توسعه پایدار پیدا میکنند. با توجه به ماهیت کنفرانس با تمرکز بر ایدهها و پیشرفتهای نوآورانه، این کتاب علمی ایدهآل را ارائه میکند و فصول بسیار باکیفیت نوشته شده توسط محققان برجسته از رشتههای مختلف را گرد هم میآورد تا جدیدترین پیشرفتهای پژوهش علمی را کشف کند.
This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
Preface AI2SD’2020 Organization General Chairs and Co-chairs Organization Committee Keynote Speakers Scientific Committee Contents Fault Tolerance in SDN Controllers 1 Introduction 2 SDN and OpenFlow - Overview 2.1 SDN Architecture 2.2 OpenFlow Protocol 2.3 SDN Challenges 3 Fault Tolerance in SDN 3.1 Fault Tolerance Overview 3.2 SDN Controller’s Fault Tolerance 3.3 Discussion 4 Conclusion and Perspectives References Towards Blockchain-Based Authentication for E-Health 1 Introduction 2 Generality of Blockchain 3 Blockchain Application’s 4 Related Work 5 Functional Study of the Project 6 Project Implementation 7 Conclusion References Biometric Identification of Individuals Based on Scalograms of Electrocardiogram and Capsule Network 1 Introduction 2 Related Work 3 Background Theory: A Brief Review 3.1 Wavelet Transform 3.2 Convolutional Neural Network (CNN) 3.3 Capsule Network (CapsNet) 4 Proposed Approach 4.1 Database 4.2 Preprocessing 4.3 Feature Extraction 4.4 Classification 5 Experiments and Results 6 Conclusion References Comparison of the Response Time Between Small Data and Big Data of the BPIS Datasets Requests 1 Introduction 2 Related Work 3 Our Contribution System to Deal with Interoperability Problem 4 Characteristics of Technical Level of Our Approach in Information System 5 Evaluation of the Response Time Between Small Data and Big Data 6 Conclusion and Perspectives References A Review of Recent Advancements Regarding the Geometry of Flow Field Channels in the Bipolar Plates of Polymer Electrolyte Membrane Fuel Cells 1 Introduction 2 Different Configurations of Gas Channels 2.1 Conventional Flow Channels Geometry 2.2 Nature Inspired Channels 2.3 Non-conventional Channels 3 Discussion and Conclusion References Smart Parking Guidance System Based on Distributed IoT Strategy 1 Introduction 2 Related Work 3 IOT Literature and Background Review 4 Smart Parking Routing System Using a Distributed Strategy 4.1 Path Finder Agent-PFA 4.2 Parking Sensors Units 4.3 Vehicle Unit 4.4 Parking Agent Unit 5 Simulation and Results 6 Conclusion References Deep Learning Based Sentiment Aware Ranking for E-commerce Product Search 1 Introduction 2 Related Works 2.1 Product Search 2.2 Word Embeddings 3 Methodology 3.1 Preprocessing Step 3.2 Product Search Using Similarity Measure 3.3 Product Ranking Using Reviews Sentiment 4 Experiments 4.1 Dataset 4.2 Evaluation Metrics 4.3 Results and Discussions 5 Conclusion and Future Work References The Mastery of the Evolution of Human Competence for Optimal Planning of Human Resource Allocation: Case Study 1 Introduction 2 State of the Art on Modeling Competence 2.1 Modeling Without Impact on Operational Performance 2.2 Modeling with Impact on Operational Performance 3 Problematic 4 Definition and Parameterization of Competence 4.1 Operational Performance 4.2 Sources of Competence 5 Modeling of Performance Evolution 5.1 Result and Discussion for Category A 5.2 Result and Discussion for Category B 6 Conclusion References Hospital Energy Performance Assessment by the Energy Performance Indicator “IEB” 1 Introduction 2 Methods: Indicator for Energy Benchmarking (IEB) 3 Data Collection, Processing and Results 4 Conclusion References Towards a New Design for Acoustic Echo Cancellation (AEC) Using Neural Network and Backpropagation Algorithm 1 Introduction 2 Related Work and Proposed Methodology 2.1 AEC Based Neuronal Approach 2.2 Model of Proposed Neuronal AEC 3 Simulation Results and Analysis 4 Conclusion References Fake News Detection Methods: A Survey and New Perspectives 1 Introduction 2 Fake News Definition 2.1 Problem Formulation 3 Fake News Categories 3.1 Categorization Based on Intent 3.2 Categorization Based on Knowledge 4 Fake News Proliferation Sources 4.1 Social Bots 4.2 Cyborg Users 4.3 Trolls 5 Fake News Detection Methods 5.1 Approaches Based on Unsupervised Learning 5.2 Approaches Based on Supervised Learning 6 Fake News Detection Method Based on Text-Features 7 Discussion and Future Research 8 Conclusion References Introduction to Internet of Things' Communication Protocols 1 Introduction 2 Energy Management 3 Communication Protocols 3.1 Constrained Application Protocol CoAP 3.2 Message Queue Telemetry Transport MQTT 3.3 Advanced Message Queueing Protocol AMQP 3.4 Extensible Messaging and Presence Protocol XMPP 4 Conclusion References Collaborative Filtering Approach: A Review of Recent Research 1 Introduction 2 Collaborative Filtering in Recommender Systems 2.1 Memory-Based Collaborative Filtering 2.2 Model-Based Collaborative Filtering 3 Research Methodology 4 Challenges of Collaborative Filtering Approach 5 Classification of Papers in Collaborative Filtering Approach 5.1 Evolution of Papers by Year 5.2 Classification of Papers by Application Domain 5.3 Classification of Papers by Techniques 6 Conclusion References Three-Dimensional Finite Radon Transform and Linear Homogenization 1 Introduction 2 The Problem Position and it’s Theoretical Resolution 2.1 The Homogenization Problem 2.2 Fourier Based Solution 2.3 Discrete Radon Based Solution 3 Voxel Discretization 3.1 Finite Radon Transform in Three-Dimensional Case 3.2 FRT and Discrete Fourier Transform 3.3 Algorithm Resolution Scheme 4 Illustration and Validation 4.1 Laminate Structures 4.2 Periodic Array of Cylindrical Fiber 4.3 Periodic Array of Square Fiber 4.4 Checkerboard Structure 4.5 Periodic Unit Cell with Spherical Inclusion 5 Conclusion References Fatigue Damage Assessment of Welded Rectangular Profiles by Numerical Simulation 1 Introduction 2 Finite Element Simulation 2.1 Geometry and Material Properties 2.2 Meshing and Boundary Conditions 3 Simulation Results and Discussion 3.1 Static Resolution 3.2 Fatigue Resolution 4 Conclusions and Perspectives References Monitoring of Solenoid Parameters Based on the Neural Networks and Optical Fiber Squeezer for Smart Control of Solenoid Response 1 Introduction 2 Problem Statement 3 The Simulink Model 3.1 Structure and Equations of Electromagnetic Fiber Squeezer 3.2 Mathematical Model of Solenoid 3.3 Simulink Model 4 Simulation and Result 4.1 Principle of Simulation for PID Adjustment 4.2 Simulation Flowchart 4.3 Simulation Result for Open Loop System Flowchart 4.4 Dynamic Response in Closed Loop with Corrector 4.5 Example of Solenoid Parameters Influence on PID Constants 4.6 Neural Network Architecture: 4.7 Neural Network Training 4.8 Design of Monitoring System Based on the Neural Network 4.9 Model Performance Testing 4.10 Principle of Solenoid Response Smart Control 4.11 Results and Discussion 5 Conclusion References Students’ Enrollment Forecasting Based on Deep Learning Algorithms and Statistical Approaches 1 Introduction 2 Statistical Methods 2.1 Time Series 2.2 ARIMA Methode 3 Machine Learning Methods 3.1 RNN 3.2 Long Short-Term Memory (LSTM) 4 Result 4.1 Data Set 4.2 ARIMA 4.3 LSTM 5 Discussion and Conclusion References Part-of-Speech Tagging Using Conditional Random Fields and Decision Tree: Amazigh Text Written in Tifinaghe Characters 1 Introduction 2 Works About Amazigh POS Tagging 3 Linguistic Background 3.1 Amazigh Language 3.2 Amazigh Script 3.3 Amazigh Script 4 Results and Experiment Settings 4.1 Algorithms 4.2 Results 5 Conclusion References A Novel Approach for Handwritten Digit Recognition Using Multilayer Perceptron Neural Network 1 Introduction 2 Related Work 3 Methodology 3.1 Artificial Neural Network 3.2 Multilayer Perceptron 3.3 MNIST Dataset 3.4 Proposed Model 4 Results and Discussion 5 Conclusion References Comparative Study of Two Parallel Algorithm K-Means and DBSCAN Clustering on Spark Platform 1 Introduction 2 Related Work 3 Parallel K-Means Algorithm Based on Spark 4 Parallel DBSCAN Algorithm Based on Spark 4.1 Data Partitioning 4.2 Local Clustering 4.3 Merging the Data Partitions 5 Experimental Results 5.1 Experimental Setup. 5.2 Performance Evaluations Results 6 Conclusion References Sentiment Analysis in Social Networks Using Convolutional Neural Networks 1 Introduction 2 Related Work 2.1 Machine Learning-Based Approach 2.2 Lexicon-Based Based Approach 2.3 Hybrid Based Approach 3 Architecture 3.1 Tweet Preprocessing and Cleaning 3.2 Classification Using Convolution Neural Network (CNN) 4 Experiments and Results 4.1 Datasets 4.2 Performance Measure 4.3 Results and Discussion 5 Conclusion and Future Work References Time-Aware User Profile Enrichment in the Collective Intelligence Context 1 Introduction 2 Backgrounds and Related Works 2.1 Backgrounds 2.2 Related Works 3 Proposed Approach 4 Experimental Results and Evaluation 4.1 Datasets 4.2 Results and Evaluation 5 Conclusion and Perspectives References Experimental Investigation of Novel Semiconductor Nanofluid Based Glycerol/MWCNT 1 Introduction 2 Materials and Methods 3 Result and Discussion 3.1 UV-Visible Spectroscopy 3.2 The Optical Gap Energy 3.3 Electrical Conductivity Analysis 3.4 Infrared Analysis 4 Conclusion References Offensive Language and Hate Speech Detection Based on Transfer Learning 1 Introduction 2 Previous Work 3 Resources 3.1 Corpus 3.2 Lexicon 4 Approach 5 Experiments and Results 6 Conclusion and Further Work References A New Dimensionality Reduction Approach Applied to the Big Data Visualization 1 Introduction 2 Related Work 3 Hu Invariant Moments 4 Results and Discussion 5 Conclusion and Future Work References Extension of Reverse Engineering Approach of SWS for the Resolution of Semantic Interoperability of EIS 1 Introduction 2 Related Work 3 Our Contribution in EIS to Ensure the Semantic Interoperability Criteria 3.1 Extraction of the Relevant Terms Supported by the Filtering Technique 3.2 Analysis of the Filtered Terms 3.3 Construction of Ontology Design Patterns 3.4 Implementation Details of the Tool Extractor of Relevant Terms 4 Conclusion and Perspectives References Meta-comparison of IoT Reference Architectures and Models 1 Introduction 2 State of art of IoT Reference Architectures and Models 2.1 IoT Reference Architecture and Models - Description 2.2 IoT Reference Architectures and Models - Structures and Components 3 State of Art of Comparisons of IoT Reference Architectures and Models 3.1 Study [6], 2015 3.2 Study [40], 2015 3.3 Study [7], 2016 3.4 Study [44], 2016 3.5 Study [8], 2017 3.6 Study [45], 2017 3.7 Study [22], 2018 3.8 Study [27], 2019 4 Observations and Findings 4.1 Evaluation of IoT Reference Architectures and Models Maturity to Cover IoT Challenges and Requirements 4.2 Focus on Some Specific Characteristics of IoT Reference Architectures and Models 5 Conclusion References Artificial Neural Network Applications for Predicting Electrical Characteristics of Dielectric Barrier Discharge 1 Introduction 2 DBD Discharge Properties 3 Classification of Discharge Modes 3.1 Model Characteristics 3.2 Model Evaluation 4 Current Waveform Prediction 4.1 Model Characteristics 4.2 Model Evaluation 4.3 Prediction Results 5 Filamentary Waveform Decomposition 5.1 Time-Series Decomposition 5.2 Seasonal Component 5.3 Residual Component 5.4 Distribution Fitting 6 Conclusion References Enhancing Recruitment Process Using Semantic Matching 1 Introduction 2 Related Works 2.1 Recommender Systems 2.2 Data Preprocessing 2.3 Dimensionality Reduction 2.4 Text Analysis Methods 3 Proposed Recommender System 4 Conclusion References Feature Selection Method Based on Classification Performance Score and P-value 1 Introduction 2 Related Work 2.1 Feature Selection 2.2 P-value 3 The Proposed Approach 4 Experiment and Results 4.1 Datasets 4.2 Experimental Procedures 4.3 Experimental Results 5 Conclusion References Identification of the Linear Dynamic Parts of Wiener Model Using Kernel and Linear Adaptive 1 Introduction 2 Model Description 3 Linear Adaptive Filters 3.1 Least Mean Squares Algorithm 3.2 Normalized Least Mean Squares Algorithm 3.3 Recursive Least Squares Algorithm 4 Kernel Theory 4.1 Positive Definite Kernel and Reproducing Kernel Hilbert Spaces 4.2 Kernel-Based Identification Algorithm 5 Simulation Results 5.1 Mobile Radio Channels 5.2 ETSI BRAN A Identification 5.3 ETSI BRAN C Identification 5.4 Influence of Parameters 6 Conclusion References Machine Learning Methods for DDoS Attacks Detection in the Cloud Environment 1 Introduction 2 Related Works 3 Used Dataset 4 Deep Neural Architectures and Machine Learning Algorithms 4.1 Decision Tree (DT) 4.2 Random Forest 4.3 Convolution Neural Network (CNN) 4.4 Long Short-Term Memory Architecture (LSTM) 5 The Proposed Method 5.1 Data Collection 5.2 Preprocessing 5.3 Learning and Classification 6 Experiments and Results 7 Conclusion References A Robust Trust Region Based Multiplier Method for Optimal Electric Power Control with Valve-Point Loading Effects 1 Introduction 2 Problem Formulation 2.1 State Variables 2.2 Control Variables 2.3 Constraints 2.4 Objective Functions 3 Trust Region Based Multiplier Method (TRMM) 3.1 Transformation to the Unconstrained Problem 3.2 Trust-Region Algorithm 4 Results and Discussion 4.1 Implementation 4.2 Numerical Case Study 5 Conclusion References Development of an Automatic Process for Calculation of Bone Defected Volume from Tomographic Images 1 Introduction 2 Materials and Methods 3 Results and Discussion 4 Conclusion References Use of N-grams Model and Semantic Similarity to Improve the Results of Search Engine 1 Introduction 2 Literature Review 3 Research Methodology 3.1 Text Preprocessing Method 3.2 Stemming 3.3 N-gram Model 3.4 Semantic Similarity 4 Experimental Results 5 Conclusion References A Survey on Web Service Reconfiguration 1 Introduction 2 Web Service Composition 3 Dynamics Reconfiguration 4 Comparative Study 4.1 Overview of Major Researches 4.2 Classification of Dynamic Reconfiguration Approaches 5 Conclusion References Predicting Number of Student Enrollment Using a Discrete-Time Markov Chain Model 1 Introduction 2 Literature Review 3 Model Development 3.1 Methodology 3.2 Budget Estimation 4 Conclusion and Discussion of Results References A Fine-Grained Access Control Scheme in Fog-IoT Based Environment 1 Introduction 2 Related Works 3 Proposed Approach 3.1 System Architecture 3.2 Background 3.3 Access Control Framework 3.4 Verifiability and Key Management 4 Security Analysis and Tests 4.1 Theoretical Security Analysis 4.2 Complexity Analysis 4.3 Tests 5 Conclusion References IT Management and Governance Framework for Formulating a Digital Transformation Strategy 1 Introduction 2 Literature Review 2.1 IT Governance Definitions 2.2 IT Management Definitions 2.3 Digital Strategy Definitions 2.4 IT Management and IT Governance Frameworks 2.5 Relationship Between Digital Transformation, IT Management, and IT Governance 2.6 COBIT5 Overview 2.7 ITIL4 Overview 2.8 CMMI-DEV Overview 2.9 BSC Overview 2.10 EFQM Overview 2.11 Digital Strategy Building 3 Results 3.1 Business Strategic Planning 3.2 IT Strategic Planning 3.3 IT Organizational Structure 3.4 IT Reporting 3.5 IT Budgeting 3.6 IT Investment Decisions 3.7 Management Strategy 4 Conclusion References Adaptive Image Processing Using Multi-agent Reinforcement Learning 1 Introduction 2 The Proposed Approach 2.1 General Context 2.2 Multi-agent System 2.3 Reinforcement Learning (RL) 2.4 Q-learning Algorithm 2.5 Hysteritic Q-learning 3 Approach Modeling 3.1 Organization 4 Empirical Study 4.1 Definition of Actions 4.2 Definition of States 4.3 Definition of Function Reward 5 Conclusion References An Affective and Multi-agent System for Autistic Children 1 Introduction 2 Emotions Recognition Theories 2.1 Evolutionary Theory of Emotion 2.2 The James-Lange Theory of Emotion 2.3 Schachter-Singer Theory 2.4 Cognitive Appraisal Theory 2.5 Facial-Feedback Theory of Emotion 2.6 The Appraisal Theories of Emotion 2.7 Emotions Recognition Approches 3 Affective Computing 3.1 Emotional Speech Processing 3.2 Facial Expression 3.3 Body Gesture and Movement 3.4 Multimodal System 3.5 Affect Understanding and Cognition 4 Assessment of Emotions in Game-Based Learning 5 Proposed Work 6 Future Work 7 Conclusion References Real-Time Traffic Sign Recognition on Sipeed Maix AI Edge Computing 1 Introduction 2 Related Work 3 Methodology and Framework 3.1 Problem Statement 3.2 YOLOv3 3.3 Tiny-YOLOv3 3.4 Sipeed MAIX: AI at the Edge 3.5 Framework 4 The Proposed Method 4.1 Dataset 4.2 Experiment Results 5 Conclusion References Robust Object Detection Based on Deep Neural Network and Saliency Features from Visible and Thermal Images 1 Introduction 2 Related Work 3 Proposed Approach 3.1 RGB Augmentation 3.2 Proposed Architecture and Training 3.3 Saliency Guided Decision Fusion 4 Experimental Results 4.1 Multi-class Object Detection 4.2 Quatitative Evaluation 4.3 Comparative Evaluation 4.4 Qualitative Evaluation 5 Conslusion and Future Work References Saving Knowledge About Sources: An Efficient Method for Querying Distributed Data 1 Introduction 2 Overview and Background 3 Related Work 3.1 Aggregated Search in the Web of Data 3.2 Source Selection 3.3 Synthesis 4 Our Solution for Distributed Queries 4.1 Our Proposed Index 4.2 Distributed Query Processing Workflow 5 Implementation and Evaluation 5.1 Experimental Set up 5.2 Index Content and Use 6 Conclusion References Comparative Analysis of Multiple Watermarking Medical Image Using Wavelet Transform 1 Introduction 2 Related Works 3 Material and Methods 3.1 Discrete Wavelet Transform (DWT) 3.2 Discrete Cosine Transform (DCT) 3.3 Fast Walsh-Hadamard Transform (FWHT) 3.4 Singular Value Decomposition (SVD) 4 Performance Evaluation Parameters 4.1 Peak Signal to Noise Ratio (PSNR) 4.2 Structural Similarity Index (SSIM) 4.3 The Normalized Correlation (NC) 5 Proposed Method 5.1 First Combination DWT-DCT-SVD 5.2 Second Combination DWT-FWHT-SVD 6 Results and Discussion 7 Conclusion References Numerical Investigation of Laminar Natural Convection in Annulus Space Based on Lattice Boltzmann Method 1 Introduction 2 Problem Geometry and Numerical Method 2.1 Problem Geometry 2.2 Numerical Method 2.3 Curved Boundary Condition 3 Result and Discussion 3.1 Results Validation 3.2 Parametric Studies 4 Conclusion References Kernel and Linear Adaptive Methods for the BRAN Channels Identification 1 Introduction 2 The System Architecture 3 Adaptive Linear Filters 3.1 Least Mean Squares Algorithm 3.2 Normalized Least Mean Squares Algorithm 3.3 Recursive Least Squares Algorithm 4 Reminder of the Theoretical Framework of Kernel 4.1 Kernel-Based Identification Algorithm 5 Simulation Results 5.1 Mobile Radio Channels 5.2 Methods Identification 5.3 Simulation Results: BRAN B Channel 5.4 Simulation Results: BRAN E Channel 5.5 Influence of Parameters 6 Conclusion References EIS Approach: Operational Dimension of the Pharmaceutical Information Systems 1 Introduction 2 Related Work: “Three Fit” Problems 3 Our EIS Approach to Deal with “Three Fit” Problems 3.1 Business Infrastructure: Contributions to Deal with “Vertical Fit” Problems 3.2 Technical Infrastructure: Contributions to Deal with “Horizontal Fit” and “Transversal Fit” Problems 4 Application of our EIS Approach: Pharmaceutical Information System (PIS) 4.1 Business Infrastructure of the PIS 4.2 Technical Infrastructure of the PIS 5 Conclusion References A New Method for Predicting Failures in Cloud Computing 1 Introduction 2 Related Work 3 Proposed Method 4 Method of Calculating Junction Temperature with and without PCM 5 Conclusion References Radiation Effect in a Square Cavity Containing a Circular Cylinder with Discrete Bottom Heating 1 Introduction 2 Problem and Numerical Method 2.1 Problem 2.2 Numerical Method 3 Results of Simulations 3.1 Effect of Rayleigh Number 3.2 Effect of Cylinder Radius 4 Conclusions References Study and Modeling of the Thermal Behavior of a Photovoltaic Cell Under Arid and Semi-arid Sites Conditions 1 Introduction 2 Meteorological Data of Khouribga City 2.1 Study of Global Solar Radiation 2.2 Table of the Meteorological Data 2.3 Heat Exchanges Between the Photovoltaic Module and Its Environment 3 Modelling of the Thermal Behavior of the Photovoltaic Module 3.1 Theoretical Approaches “Mathematical Models” 4 Study and Discussion 4.1 Properties of the Photovoltaic Module Used: (BP 585 (BP Solar)) 4.2 Influence of the Ambient Temperature on the Operating Cell Temperature 4.3 Influence of the Solar Radiation on the Operating Cell Temperature 4.4 Influence of the Wind Speed on the Operating Cell Temperature 4.5 Effect of the Operating Cell Temperature on the Efficiency of the Photovoltaic Module 5 Conclusion References Pulse Cleaning Optimization and Numerical Analysis of the Pulsed Air Jet Nozzle for Improving a Cleaning Performance 1 Introduction 2 Mathematical Model 2.1 Turbulence Modeling 2.2 Fundamental Equations: k-ε Standard 2.3 Model Geometry and Boundary Conditions 3 Results and Discussions 3.1 Nozzle Type 4 Conclusion References Photostorage of Energy in Novel Nano-system of Glycerol/Tetrapolyphosphate of Erbium (Er2P4O13)/Multi Walled Carbon Nanotubes (MWCNT) 1 Introduction 2 Electrical Conductivity and Resistivity of Er2P4O13Powder 3 Experimental and Analytical Methods 3.1 Scanning Electron Microscopy 3.2 The Spectroscopy IR for the Analysis of Nanofluids 3.3 Glycerol Anti-corrosive 4 Conclusion References Morphological Rearrangement of P(VDF-TrFE)/SWCNT Nano-composite Under High Electron Beam 1 Introduction 2 Experimental Set-Up 3 Results and Discussion 4 Conclusion References Node Security Metric: Proof of Conformity Blockchain Consensus Protocol 1 Introduction 2 Overview of Consensus Protocol 2.1 Proof of Work (POW) 2.2 Proof of Stake (POS) 2.3 Proof of Stake Velocity (PoSV) 2.4 Proof of Authority (PoAT) 2.5 Proof of Importance (PoI) 3 Description of the Proposed Algorithm 3.1 Node Security Metric (NSM) 3.2 Proof of Conformity Protocol 3.3 Numerical Results 4 Conclusion and Research Prospects References Comparison Between the Polarity Inference Approach and the Sentiment Fine Analysis Approach Using Tweets 1 Introduction 2 Literature Survey 3 Approaches to Sentiment Analysis 3.1 The Lexicon-Based Approach to the Analysis of Feelings 3.2 The Learning Machine Approach 4 Proposed Work 4.1 Data Collection 4.2 Data Cleaning 4.3 Classification 4.4 Calculates the Score 5 Degree of Customer Satisfaction with Sentimentr 6 Conclusion and Future Work References Mushrooms: From Their Therapeutic Properties to Anti-phytopathogenic Uses 1 Introduction 2 Materials and Methods 2.1 Plant Materials and Pathogen 2.2 Biocontrol Agents 3 Results and Discussion 4 Conclusion References End-to-End Deep Learning for Autonomous Vehicles Lateral Control Using CNN 1 Introduction 2 Related Work 3 Proposed Methodology 4 Data Collection and Network Design 4.1 Data Capturing and Preprocessing 4.2 Network Design and Parameter Optimization 5 Experimental Results 6 Concluding Remarks and Future Works References Towards New Framework for Modelling Project Selection in Crowdfunding Platforms 1 Introduction 2 The Development Process of an Agent Based Model 3 The Model 3.1 Selecting Project and Giving Donations 4 Simulation 5 Conclusion and Perspectives References A Novel Pooling Method for Regularization of Deep Convolutional Neural Networks and Application to Image Classification 1 Introduction 2 Regularization in Deep Neural Networks 2.1 Dropout 2.2 DropConnect 2.3 Data Augmentation 2.4 Batch Normalization 3 Pooling Mechanism 3.1 Max Pooling 3.2 Average Pooling 3.3 Stochastic Pooling 3.4 Hybrid Pooling 3.5 Average Pooling Dropout 4 Proposed Method: Spectral Dropout Pooling 5 Experiments Results 5.1 Used Dataset: CIFAR-10 Dataset 5.2 Simulation Methods 5.3 Numerical Results and Discussion 6 Conclusion References Parallel Computing for Improving Optimization Performance of Laminated Composite Structures Application: Thermal Buckling 1 Introduction 2 Problem Formulation and Resolution 2.1 Problem Formulation 2.2 Genetic Optimization Approach 3 Parallel Engineering to Improve Optimization 3.1 Parallel Methods 3.2 Proposed Parallel Approach 4 Results and Discussion 5 Conclusion and Perspectives References Smart Fleet Management System Based on Multi-agent Systems: Mining Context 1 Introduction 2 Fleet Management Systems and Artificial Intelligence 2.1 Fleet Management System 2.2 Artificial Intelligence for Fleet Management System 3 Problematic 4 The Architecture Proposal 5 Implementation 6 Proposed Architecture Evaluation 7 Conclusion and Perspectives References An Optimized Method for Face Recognition Using PCA and PSO Techniques 1 Introduction 2 Preliminaries 2.1 Features Extraction 2.2 Swarm Intelligence 3 Problematic Statement 4 Related Works 5 Our Face Recognition Model 5.1 Architecture 5.2 Data Collection Approach 5.3 Particle Swarm Optimization 5.4 Fitness Function 6 A Face Recognition Application 6.1 Prototype Description 6.2 A Case Study 6.3 Discussion 7 Conclusion and Further Work References A Knowledge-Based Recommender System for Mortgage Lending 1 Introduction 2 Literature Review and Background 2.1 Knowledge-Based Filtering 2.2 Applications of Recommender Systems 3 Case Study: Mortgage Lending 4 A Knowledge-Based Recommender System 4.1 Case Representation 4.2 Case Retrieval 5 Application 6 Conclusion References Automated Boundary Delineation of Moroccan Coastal Upwelling 1 Introduction 2 Study Area and Data 3 Overview of the Algorithm 4 Classification Methodology 4.1 Fuzzy C-Means Algorithm 4.2 Gustafson-Kessel Algorithm 4.3 Cluster Validation 5 Segmentation Methodology 6 Experimental Results 7 Conclusion References Unsupervised Query-Focused Multi-document Summarization Using uSIF Sentence Embedding Model and Maximal Marginal Relevance Criterion 1 Introduction 2 Related Work 2.1 Query-Focused Multi-document Summarization 2.2 uSIF Sentence Embedding Model 2.3 Maximal Marginal Relevance Criterion 3 Proposed Method 3.1 Sentence and Query Embedding 3.2 Sentence Scoring 3.3 Summary Generation 4 Experimental Results 4.1 Datasets and Evaluation Measures 4.2 Experimental Setup 4.3 Results and Discussion 5 Conclusion References Energy Efficient Wireless Sensor Networks - 1 Introduction 2 Research Project 3 Internet of Things 3.1 Definition 3.2 Technology Enablers 3.3 Applications 3.4 Architecture 3.5 Challenges 4 Wireless Sensor Network 4.1 Definition 4.2 Topologies 5 Microcontrollers 5.1 Definition 5.2 Types of Microcontrollers 5.3 What is Arduino? 5.4 Arduino Alternatives 5.5 Comparison of Arduino Alternatives 5.6 Arduino vs. FPGA vs. ASIC 6 Wireless Communication Technologies 6.1 IEEE 802.15.4 6.2 Ultrawide Bandwidth 6.3 Bluetooth 6.4 Z-wave 6.5 ANT Tech 6.6 Fifth Generation (5G) 7 Operating Systems 7.1 OS Design Features 7.2 TinyOS 7.3 Contiki 7.4 Mantis 7.5 Nano-RK 7.6 LiteOS 8 Comparative Analysis 8.1 Microcontrollers 8.2 Wireless Communication Technologies 8.3 Operating Systems for WSNs 9 Real World Deployment of WSN 10 Conclusion References Overview of a Fuzzy Bayesian Network Approach for Dynamic Safety Analysis of Runway Incursion Occurrences 1 Introduction 2 Literature Review 3 Methodology and Materials 3.1 BT Model 3.2 Bayesian Network 3.3 Probabilistic Assessment Algorithm 4 Hazard Definition 4.1 Runway Safety Case 4.2 Runway Incursion 4.3 BT Model Structure 5 Framework of Risk Assessment Based on Fuzzy Bayesian Network 5.1 BN Model 5.2 BN Parameters: Priors and CPTs 6 Case Study 6.1 Case Overview 6.2 Analysis of Results 7 Conclusion References A Short Overview of Horizon Detection Methods Applied to Maritime Video Stabilization 1 Introduction 2 Video Stabilization: Importance and Requirements 3 Analysis of Algorithms 3.1 Linear Features 3.2 Regional Features of Intensity Channels 4 Conclusion References Efficient R-Tree Exploration for Big Spatial Data 1 Introduction 2 Background and Problem Definition 2.1 R-Tree Structure 2.2 Problem Statement 3 Related Work 4 FASTER Approach 4.1 Principle of FASTER 4.2 Proof of Correctness 5 Experimental Validation 5.1 Experimental Setup and Data-Sets 5.2 Results Discussion 6 Conclusion References Performance Evaluation of Hadoop Tools Using Word Count Algorithm 1 Introduction 2 Characteristics of Big Data 2.1 Veracity 2.2 Volume 2.3 Variety 2.4 Velocity 2.5 Value 3 Related Work 4 Hadoop 4.1 HDFS 4.2 MapReduce 4.3 Hadoop WordCount 5 Motivation 6 Algorithm 7 Experiment and Results 8 Conclusion and Future Work References Software Defined Network for Energy Efficiency in WSN and RPL Protocol Simulation 1 Introduction 2 Comparison of Clustering Protocols and SDN 2.1 SDN Architecture for WSN 2.2 Simulation Results 3 Internet of Thing 3.1 802.15.4 Protocol Stack 3.2 Lightweight protocols 4 RPL Simulation with Contiki and Cooja 5 Conclusion References Durability Analysis of Welded Rectangular Profiles Under Damped Loads for Automotive Utilization 1 Introduction 2 Numerical Model 2.1 Geometry 2.2 Material Properties 2.3 Weld Joint Properties 2.4 Loading and Boundary Conditions 2.5 Meshing 2.6 Analysis of Model Resolution 3 Validation of Numerical Results Using the Mesh Convergence Analysis 4 Results and Discussion 4.1 The Fatigue Sensitivity and the Hysteresis Curve 4.2 Effect of the Thickness of the Structure on the Durability and on the Loading History Variation 4.3 Effect of Thickness of the Weld Joint on the Durability and the Load Ratio 4.4 Effect of the Length and the Stiffness of Spring on the Durability 5 Conclusions References A Stock Trading Strategy Based on Deep Reinforcement Learning 1 Introduction 2 Related Work 3 Problem Statement 4 Methodology 5 Experiments and Results 6 Conclusion References Deep Learning Approaches for Arabic Sentiment Analysis - Case Study: Detection of Potential Suicide Cases 1 Introduction 2 Related Work 3 Arabic Language 4 Methodology 4.1 Corpus 4.2 Preprocessing 4.3 Corpus Augmentation 4.4 Vectorisation 4.5 Proposed Models 5 Experimental Result 6 Discussion 7 Conclusion References Towards Deployment of UAV’s for Autonomous Ships’ 5G Mobile Communication 1 Introduction 2 Shipping Industry Communication Requirements 3 Materials and Methodology 4 Result and Discussion 4.1 Radio Propagation at Sea 4.2 UAVBs Altitude Optimization and Placement 4.3 Network Coverage Spectral Efficiency 5 Conclusion References Translational-Randomwalk Embeddings-Based Recommender Systems: A Pragmatic Survey 1 Introduction 2 Background 2.1 Recommender Systems 2.2 Translational-Randomwalk Models 3 Literature Review 4 Discussion 5 Conclusion and Future Work References Electrical Transport Mechanisms in CdAs2Semiconductor: Theoretical Models and Experimental Evidence at Low Temperatures 1 Introduction 2 Temperature Dependence of the Electrical Resistivity in View of VRH Models 3 Results: Experimental Evidence for VRH Conduction 3.1 Modified Resistivity Curve Derivative Analysis 3.2 Percentage of Deviation Method 3.3 Local Activation Energy 4 Conclusion References Exploring Semantic Similarity Measure Based on Word Embedding Representation for Arabic Passages Retrieval 1 Introduction 2 Related Work 2.1 Passage Retrieval 2.2 Similarity Measures 3 Word Embeddings 4 Semantic Similarity Measure for Arabic Passages Retrieval 5 Experimental Results 5.1 Datasets and Evaluation Metrics 5.2 Results 6 Conclusion References Analysis of Performance Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN) for Lifelong Learning on Indonesian Sentiment Analysis 1 Introduction 2 Methods 2.1 Word Embedding 2.2 Long-Short Term Memory (LSTM) 2.3 Convolutional Neural Network (CNN) 2.4 LSTM-CNN 2.5 Fully Connected Layer 2.6 Lifelong Learning 3 Experiment 3.1 Data Sets 3.2 Pre-processing 3.3 Learning Model with Optimized Parameter 3.4 Lifelong Learning Implementation 4 Conclusion References For a Future Smart Grid Management in Moroccan Rural Area: Mutilations and Opportunities 1 Introduction 2 Network Topology 2.1 Operating Issues 2.2 Request for Electrification 2.3 Development 2.4 Technical Problems 3 History of Smart Grid 4 Smart Grid System 5 Conclusion References The Private Actors and Their Vulnerabilities to Risks and Crises in the Tourism Industry 1 Introduction 2 Tourism Value Chain: Tourism Actors 2.1 Public Actors 2.2 Private Actors 3 Vulnerability and Tourism 3.1 Actors’ Partnerships and Sustainability 3.2 The Governance of Partnerships 3.3 Crises and Vulnerability 4 Approach to the Problem Using the MACTOR Method 4.1 The Principle of the MACTOR Method 4.2 Application of the MACTOR Method 5 Conclusion References A Multiobjective Integrated Procurement, Production, and Distribution Problem of Supply Chain Network 1 Introduction 2 Supply Chain Network 2.1 Model Formulation 3 Solution Method 4 Computational Experiment 5 Conclusion References The Synergy Between Maintenance and Energy Efficiency: Case Study of an Industrial Plant in Tangier 1 Introduction 2 Energy Analysis 2.1 Energy Review 2.2 Electricity Bill Analysis 2.3 Energy Performance Model 2.4 Energy Performance Indicator 3 Energy Efficient Maintenance Techniques 3.1 Application of Infrared Thermography for Predictive Maintenance 3.2 Lean Energy Through Total Productive Maintenance 4 Conclusion References Towards a New Metamodel of Microservices and Devops Based Internet of Things Ecosystem 1 Introduction 2 Ease of Use 3 Constructing a Metamodel 4 Metamodel of the Internet of Things Ecosystem 5 Metamodel of the Internet of Microservices 6 Metamodel of Docker 7 Metamodel of Ansible 8 Discussion 9 Conclusion References Applications of Lie Symmetry Analysis to the Natural Convection Flow of Boundary Layer Past an Inclined Surface 1 Introduction 2 Brief Description of Symmetry Group Method 3 Mathematical Formulation 4 Symmetry Groups 5 Similarity Transformations and Exact Solutions 6 Results and Discussion 6.1 Case 1 6.2 Case 2 7 Conclusion References Exploration, Sentiment Analysis, Topic Modeling, and Visualization of Moroccan Twitter Data 1 Introduction 2 Related Research Work 2.1 Sentiment Analysis of Twitter Data 2.2 Use of Topic Modeling for Content Analysis 3 Tools and Methods 3.1 Sentiment Analysis and Statistics of Twitter Data 3.2 Topic Modeling 4 Experiments and Empirical Results 4.1 Proposed Architecture 4.2 Data Collect and Storage 4.3 Preprocessing Data 4.4 Experimental Results 5 Conclusion and Future Work References Mathematical Methods for Data Fusion in IoT: A Survey 1 Introduction 2 Data Fusion: An Overview 2.1 Some Well-Known Definitions 2.2 Fusion Steps 2.3 Fusion Levels 3 Data Fusion Approaches 3.1 Bayesian Method 3.2 Theory of Belief 3.3 Fuzzy Logic Theory 3.4 Advantages and Limitations 4 Conclusion References Towards a New Metamodel of Internet of Things Ecosystem 1 Introduction 2 Related Work 3 Background 3.1 MDE - Model Driven Engineering 3.2 IoT- Internet of Things 4 Proposed Metamodel 5 Discussion 6 Conclusion References A Geo-Ontology Model for Urban Planning -Residential Zoning- 1 Introduction 2 State of the Art 2.1 Urban Ontologies 2.2 Ontology and Knowledge 3 Proposed Urban Geo-Ontology Model 3.1 Urban Planning 3.2 LUP Geo-Ontology Model 3.3 Class Hierarchy 3.4 Zoning Dimension 3.5 Residential Zoning Concept 3.6 Application and Evaluation 4 Conclusion and Perspectives References Web Page Classification Based on an Accurate Technique for Key Data Extraction 1 Introduction 2 Related Work 3 Our Method 3.1 Web Page Representation 3.2 Key Information Extraction from Webpages 3.3 Feature Engineering 3.4 Machine Learning Models 4 Experimental Study 4.1 Initial Dataset 4.2 Performance Measurement 4.3 Experimental Results 5 Conclusion References An Overview About Privacy Protection of Facebook Social Network Users Data 1 Introduction 2 Why Should We Anonymize a Social Network? 2.1 A Quick, But Thorough Overview About Cambridge Analytica Scandal 3 Related Work and Discussion 3.1 Facebook Dataset 4 Types of Attacks 4.1 Passive Attack 4.2 Active Attack 5 Social Network Representation 6 Graph Anonymization Techniques 6.1 Differential Privacy 6.2 Graph Modification 6.3 Generalization 6.4 Discussion 7 Conclusion 8 Perspective References A Hybrid Deep Learning Network CNN-SVM for 3D Mesh Segmentation 1 Introduction 2 3D Mesh Segmentation 2.1 Segmentation Methods 2.2 Shape Features 3 Proposed Approach 3.1 Features Extraction 3.2 Mesh Segmentation Network 3.3 Boundary Refinement Process 4 Experiments and Results 4.1 Dataset 4.2 Segmentation Accuracy 5 Conclusion References Efficient Collaborative Energy Trading Between Smart Grids Using Blockchain and Smart Contracts 1 Introduction 2 Efficient Electricity Trading and Pricing 3 Customer Demand Prediction Using Supervised Learning 4 Management of Electricity Trading Using Blockchain and a Smart Contract 4.1 Payment and Balance Management 4.2 Receive Information from (gi)iG and D 4.3 Determine the Optimal Transfer of Electricity and the Corresponding Payments 4.4 Payment for Measured Electricity Transfers 4.5 Member Withdrawal 4.6 Technical Aspects Related to Ethereum and Solidity 4.7 Example of Basic Scenario 5 Management of Faulty Behavior 5.1 Penalties and Indemnities for Grids 5.2 Payments 6 Conclusion References Cloud-IoT Platform with Permissioned Private Blockchain Integration 1 Introduction 2 Related Works 3 The Proposed Architecture 3.1 Hyperledger Fabric 4 Performance Evaluation 5 Conclusion and Future Work References Performances Review of PEMFC Proton Exchange Membranes and Challenges Related to Their Improvement 1 Introduction 2 Classification of Proton Exchange Membrane Based on Materials 3 The Most Commercialized and Promising Proton Exchange Membranes 4 Comparing of Properties of Different Proton Exchange Membranes Studied 5 Comparing of Cost and Durability of Membranes 6 Conclusion References Comparison Study of Lightweight Hash Functions for an Authentication Solution on IoT 1 Introduction 2 The Studied Problem 3 Comparison Study of Lightweight Hash Functions 4 Performance Comparison 5 Conclusion and Future Work References High Frequency Measurement of Metals: Steps Towards the Acceptance of Passive Samplers for Regulatory Monitoring 1 Introduction 2 Materials and Methods 2.1 Study Area and Sampling Procedures 2.2 DGT Processing and Analysis 3 Results and Discussion 3.1 Physico-Chemical Parameters and SPM Amount 3.2 Trace Metals in the Dissolved Fraction 3.3 Partitioning of Trace Metals Between DGT and Spot Sampling References Preservation of Fish Bones as Semi-finished Products 1 Introduction 2 Material and Methods 2.1 Model Description 2.2 Physicochemical Analyzes 3 Methods of Manufacture 3.1 Dewatering 3.2 Dehydration 3.3 Grinding 3.4 Sieving 4 Statistical Analysis 5 Results and Discussion 6 Conclusion References Sensor Network Proposal for Greenhouse Automation of the Cultivation and Fertilization of Strawberries Placed at the Smart Farm 1 Introduction 2 Materials and Methods 2.1 Plant Material and Measurement Methods 2.2 Arduino Microcontroller 2.3 The Sensors 2.4 Programming Software 3 Results and Discussion 4 Conclusion References Evaluation of the Intrinsic Vulnerability of R’Mel Coastal Aquifer (Loukkos, North-West Morocco) by Parametric Methods DRASTIC and TCR and Comparison of the Obtained Results 1 Introduction 2 Materials, Methods and Study Site 2.1 Presentation and Analysis the DRASTIC Method 2.2 Presentation and Analysis of the TCR Method 2.3 Presentation of the Study Site 3 Results and Discussion 3.1 Vulnerability Assessment Using the DRASTIC Method 3.2 Vulnerability Assessment Using the TCR Method 3.3 Assessment of the Vulnerability Index 3.4 Surface Analysis of the Two Vulnerability Maps 4 Conclusion References Digital Technology und Artificial Intelligence Facing COVID-19 1 Introduction 2 Different Applications of Digital Technology to Combat COVID-19 2.1 Large-Scale Data Analysis of COVID-19 Patients 2.2 COVID-19 Detection 2.3 Treatment Research 2.4 Synthesis 3 Scientific Contribution 4 Experimental Results and Discussion 5 Conclusion References Main Engine Lubricating Oil System Distributed Approach for a Safer Autonomous Ship 1 Introduction 2 Main Engine Lubricating Oil System Description 3 Materials and Methodology 4 Main Engine Lubricating Oil System Modeling Multi-agent Approach 4.1 Main Engine Lubricating Oil System Multi-agent Architecture 4.2 Main Engine Lubricating Oil System Communication and Interaction Model 5 Conclusion References Product-Driven Manufacturing Launch of Semi-finished Product 1 Introduction 2 Product Driven System 2.1 Definition 2.2 Smart Product 2.3 Infotronic Technology 3 Product-Driven Manufacturing Launch 3.1 Principle 3.2 Calculation of Thresholds 3.3 Solution Steps 4 Case Study 4.1 Process to be Studied 4.2 Data Used 4.3 Follow up of Stock Level 4.4 Results and Discussion 5 Conclusion References Variable Neighborhood Search to Design a Green Dynamic Cellular Manufacturing System Considering Carbon Emission Minimization 1 Introduction 2 Model Formulation 2.1 Notations and Decision Variables 2.2 Mathematical Model 3 VNS Algorithm 3.1 Solution Presentation 3.2 Generating Initial Solution 3.3 Local Search 4 Numerical Experiments 5 Conclusions References Author Index