Smart Applications and Data Analysis: 4th International Conference, SADASC 2022, Marrakesh, Morocco, September 22–24, 2022, Proceedings

Preface
Organization
Keynote Talks
	Graph Neural Networks: Principles and Models
	Drone-Based Service Delivery in Skyway Networks
	Bringing Order to the Internet of Things: A Search Engine Perspective
	Contents
AI-Driven Methods 1
Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering
	1 Introduction
	2 Related Work
		2.1 Notations
		2.2 Related Work
		2.3 Review of the (NESE) Method
	3 Proposed Approach
		3.1 Optimization
	4 Performance Evaluation
		4.1 Experimental Setup
		4.2 Experimental Results
		4.3 Convergence Study
		4.4 Parameter Sensitivity
	5 Conclusion
	References
Automatic SPECT Image Processing for Parkinson\'s Disease Early Detection
	1 Introduction
	2 Materials and Methods
	3 Image Processing
	4 Calculation of Features
	5 Results and Discussion
	6 Conclusion
	References
Graph Convolution Networks for Unsupervised Learning
	1 Introduction
	2 Related Work
	3 Preliminary
		3.1 Weighted Kernel K-Means and Spectral Clustering
		3.2 Graph Convolution Network Overview
	4 The Proposed Method
		4.1 Model Architecture
		4.2 Model Loss Function and Clustering
	5 Experiments
		5.1 Baselines
		5.2 Evaluation Metrics and Experimental Setups
		5.3 Result Analysis
	6 Conclusion
	References
Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems
	1 Introduction
	2 General Learning Framework
	3 Multi-class Kernel Learning
	4 Collaborative Kernel Discriminant Analysis
		4.1 General Framework
		4.2 The Combining Rules of the Network
		4.3 Capacity of the Classifiers and Overflow Management
	5 Experimental Evaluation
		5.1 Data Sets
		5.2 Competitors
		5.3 Influence of the Capacity C
		5.4 Evaluation on Moderately Size Datasets
		5.5 Comparative Study with Large Size Datasets
	6 Conclusion and Future Work
	References
Spectral Clustering Based on a Graph Model for Airspace Sectorization
	1 Introduction
	2 Related Work
	3 Spatial Clustering
	4 Voronoi Diagram
	5 Delaunay Triangulation
	6 Airspace Graph Model
		6.1 Sub-graphs
		6.2 Weighted Graph Model
		6.3 Objective Function
	7 Spectral Clustering
		7.1 Graph Laplacian
	8 Conclusion
	References
Networking Technologies and IoT
Solar Charging Station for Electric Vehicles with IoT Solution for Monitoring Energy Production
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Description of the Study Area
		3.2 Calculation of Energy Consumption by Charging Electric Vehicles
		3.3 Calculation of the Photovoltaic GEnerator\'s Power
		3.4 Calculation of the Battery Capacity
		3.5 Calculation of the Inverter
		3.6 Monitoring of Energy Production
	4 Results and Discussion
		4.1 Theoretical Results
		4.2 Simulation Results
		4.3 Economic Study
		4.4 Design with Blender Software
		4.5 Firebase Database as Cloud
		4.6 Software for Monitoring
	5 Conclusion and Future Works
	References
Low-Cost Smart Irrigation System Based on Internet of Things and Fuzzy Logic
	1 Introduction
	2 Methodology
		2.1 Smart Irrigation System Architecture
		2.2 Fuzzy Logic System
	3 Results
	4 Conclusion
	References
AI-Driven Methods 2
autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization
	1 Problem Formulation
	2 Introduction
	3 Related Work
		3.1 SVD
		3.2 Biased-SVD
		3.3 SVD++
		3.4 autoSVD++
	4 Our Model
		4.1 Contractive Autoencoder (CAE)
		4.2 TimeSVD++
		4.3 AutoTimeSVD++
		4.4 Optimization
	5 Experiments
		5.1 Datasets
		5.2 Evaluation
		5.3 Results and Discussions
	6 Conclusion
	References
Toward a Holistic Public Procurement 4.0. Case Study: Moroccan Public Procurement
	1 Introduction
	2 Context of the Study
		2.1 Digital Transformation in Morocco
		2.2 Public Procurement
		2.3 Integrity Issues in Public Procurement
	3 State of the Art
		3.1 Procurement and Artificial Intelligence
		3.2 Procurement and Blockchain
		3.3 Procurement and Data
	4 Proposed Approach
		4.1 General View
		4.2 Proposed Framework
	5 Conclusion and Future Works
	References
Classifiers-Based Personality Disorders Detection
	1 Introduction
	2 Related Work
	3 Our Approach
		3.1 Approach Overview
		3.2 Unit Classifiers
	4 Prototype, Experiments and Results
		4.1 Datasets
		4.2 Implemented Classifiers and Conducted Experiments
		4.3 Clustering and Feature Selection
		4.4 Clusters Interpretation
	5 Conclusion
	References
Green Energy, Computing and Technologies 1
Investigation of Different Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor
	1 Introduction
	2 State-Space Mathematical Model of the SynRM
	3 Basis of SynRM Vector Control
	4 PI Control Design
	5 Fuzzy Logic Control Design
		5.1 Fuzzification
		5.2 Knowledge Base and Inference Engine
		5.3 Defuzzification
	6 Self-Tuning Anti-Windup Control Design
	7 Results and Discussion
	8 Conclusion
	References
Performing Energy-Efficient Motions for Wheeled Mobile Robots by Designing an Orientation Controller
	1 Introduction
	2 Methodology
		2.1 Total Energy Model
		2.2 Mobile Robot Kinematic Energy
		2.3 Controller Design
		2.4 Orientation Models
	3 Model Implementation and Results
	4 Conclusion
	References
Study of Path Optimization of an Electric Vehicle: Case of Morocco
	1 Introduction
	2 Background
	3 Problem Formulation
		3.1 Electric Vehicles in Morocco
		3.2 Data Description
		3.3 Vehicle Characteristics
		3.4 Charging Cost
	4 Proposed Model and Simulation
		4.1 Phase 1: Finding the Shortest Path
		4.2 Phase 2: Cost of Travel
	5 Results Discussion
	6 Conclusion
	References
AI-Driven Methods 3
Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning
	1 Introduction
	2 Theoretical Background and Related Work
		2.1 Hyperparameters Optimization
		2.2 Bayesian Optimization
		2.3 Functional ANOVA for Assessing Hyperparameters Importance
	3 Meta-guided Bayesian Optimization
	4 Evaluation
		4.1 Experimental Setup
		4.2 Experimental Results
	5 Conclusion
	References
A Novel Graded Multi-label Approach to Music Emotion Recognition
	1 Introduction
	2 Music Emotion Classification
	3 A Graded Multi-label MER Dataset
	4 Graded Multi-label Classification
		4.1 GML_DT
	5 Experiments
		5.1 Evaluation Metrics
		5.2 Results
	6 Conclusion
	References
Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project
	1 Introduction
		1.1 Net-Zero Energy Buildings
		1.2 Concepts Related to NZEBs
		1.3 Predictive Control of NZEBs
	2 Literature Review
	3 Methodology
		3.1 Accuracy Metrics
		3.2 Dataset
		3.3 Machine Learning Solutions
		3.4 A Deep Learning Solution
		3.5 Time Series Data
	4 Results and Comparison
	5 Conclusion
	References
Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks
	1 Introduction
	2 Related Work
	3 Issue
		3.1 Diagram of Planning Disruption
	4 Determination of Probability Factors Affecting a Warehouse Planning Using Bayesian Networks
		4.1 Principe of Bayesian Networks
		4.2 The Developed Bayesian Network
		4.3 Conditional Probability Generation
	5 Implementation and Results
	6 Conclusion and Outlook
	References
Green Energy, Computing and Technologies 2
Smart Grid Production Cost Optimization by Bellman Algorithm
	1 Introduction
	2 Energy Management Strategies in a Microgrid
	3 Microgrid Cost Model
		3.1 Cost of the Grid
		3.2 Cost of the PV and Wind System
		3.3 Cost of Micro-gas Turbine
		3.4 Cost of Storage System
		3.5 Objective Function
	4 Application of the Optimization Strategy
		4.1 Bellman Algorithm
		4.2 Adaptation of the Strategy
	5 Results and Comparisons
	6 Conclusion
	References
Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC)
	1 Introduction
	2 Circuit Analysis
		2.1 Topology Description
		2.2 Modulation Strategy
	3 Controller Design
		3.1 Sliding Mode Control
		3.2 Mathematical Modeling
		3.3 Control Law
	4 Simulation Results and Discussions
	5 Conclusion
	References
Statistical Analysis of PV-Wind-Battery Hybrid System Energy Efficiency for Green Buildings Power Supply
	1 Introduction
	2 Renewable System Hybridization
		2.1 Photovoltaic System
		2.2 Permanent Magnet Synchronous Generator
		2.3 Storage System
	3 Energy Management System
	4 System Reliability Analysis
	5 Conclusions and Future Works
	References
Energy Management in a Connected DC Microgrid Using Fuzzy Controller
	1 Introduction
	2 Energy Management System (Control Strategies)
		2.1 Rule-Based Management Strategies
		2.2 Optimization-Based Strategies
	3 Control and Simulation of a Hybrid Energy System (HES)
		3.1 Energy Management Method
		3.2 Control of HES - Management Strategy Based on Fuzzy Rules
		3.3 Control of PV Panel, Wind Turbine and DC Bus Voltage
	4 Results and Discussion
	5 Conclusion
	References
Case Studies and Cyber-Physical Systems 1
Approach for Optimisation Warehouse Storage Areas Based on the Container Storage Problem
	1 Introduction
	2 Related Work
	3 Proposed Methodology
	4 Case Study
		4.1 Numerical Example
	5 Conclusion
	References
Roadmap to Implement Industry 5.0 and the Impact of This Approach on TQM
	1 Introduction
	2 Related Works
	3 Roadmap for Human-Centric Approach Implementation
		3.1 Quality Circle
		3.2 ADKAR
		3.3 Proposed Framework
	4 Impact of Industry 5.0 on Total Quality Management
	5 Conclusion
	References
Artificial Intelligence Based Plastic Injection Process for Initial Parameters Setting and Process Monitoring-Review
	1 Introduction
		1.1 The Principle of the Injection Molding Process
		1.2 The Key Parameters of the Injection Molding Process
	2 Literature Review
		2.1 Monitoring of the Injection Process: Period Between 1970 to 2015
		2.2 Complexity F the Injection Molding Process
		2.3 The Contribution of the Artificial Intelligence in the Injection Process
	3 Discussions and Perspectives
	4 Conclusion
	References
The Benefits of Combining Digitalization with Quality Tools: Application in the Field of Wiring Systems Manufacturing for the Automotive Industry
	1 Introduction
	2 Background and Objectives
		2.1 Scope of the Research
		2.2 Problematic
	3 Description of the Research Methodology
		3.1 CRAFTER
		3.2 Digitalization
	4 Implementation and Analysis
		4.1 Characterization of a Problem
		4.2 Root Causes Analysis
		4.3 Action Plan
		4.4 Follow up on the Implementation of the Solutions
		4.5 Tracking of the Main KPIs
		4.6 Effectiveness of the Action Plan
		4.7 Reverse Failure Mode and Effect Analysis (Reverse-FMEA)
	5 Result
		5.1 Quantitative Gains of the Research
		5.2 Quantitative Gains of the Research
	6 Discussion
		6.1 Theoretical Contributions
		6.2 Limitations and Perspectives
	7 Conclusion
	References
Case Studies and Cyber-Physical Systems 2
Digital Transformation of the Flotation Monitoring Towards an Online Analyzer
	1 Introduction
	2 Context and Challenges
	3 Related Work
	4 Proposed Approach: Online Analyzer Based on Computer Vision and Machine Learning
		4.1 Human-Eye Visual Control
		4.2 Data Variety and Challenges
		4.3 Usage Framework of the Online Analyzer
		4.4 Data Acquisition
		4.5 Building the Model
		4.6 Validation and Model Tuning
		4.7 Primary Results
	5 Conclusion and Perspective
	References
Air Quality Remote Monitoring Module: I4.0 Application in Smart Poultry Farm
	1 Introduction
	2 Hardware Design
		2.1 Temperature and Humidity Monitoring
		2.2 Ammonia Rate Monitoring
	3 Cloud Based Platform
	4 Prototype Deployment and Test Results
	5 Conclusion
	References
Smart Greasing System in Mining Facilities: Proactive and Predictive Maintenance Case Study
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Materials
		3.2 Method
	4 Results
	5 Discussion
		5.1 Current Practices for Addressing Lubrication Problems
		5.2 Impact and Correlation of Smart Lubrication on Maintenance Activities
	6 Conclusion
	References
Risk Management Based on Hybridized TOPSIS Method Using Genetic Algorithm
	1 Introduction
	2 State of Art
		2.1 Genetic Algorithm in Risk Management
		2.2 The Hybrid Use of GA and the TOPSIS Method
	3 Our Approach
		3.1 Genetic Algorithm
		3.2 TOPSIS Method
	4 Our Industrial Case Study
		4.1 Proposed Procedure
		4.2 Parameter Tuning of GA
		4.3 Results
	5 Conclusion
	References
Case Studies and Cyber-Physical Systems 3
Blockchain Application Methodology for Improving Trust in the Collaborative Supply Chain
	1 Introduction
	2 Literature Review
	3 Analysis and Interpretation
	4 The Results
	5 Conclusion
	References
MaroBERTa: Multilabel Classification Language Model for Darija Newspaper
	1 Introduction
	2 Related Work
	3 Framework
		3.1 Pre-training of MaroBERTa
		3.2 Fine-Tuning on Multilabel Classification
	4 Experiments
		4.1 Performances of the Models
	5 Conclusion
	References
MBSE Grid: Operational Analysis for the Implementation of Hydroelectric Group Health Monitoring and Management Unit
	1 Introduction
	2 MBSE Approaches
		2.1 MBSE Methodologies
		2.2 Enterprise Architecture Frameworks
		2.3 MBSE Grid
	3 Operational Analysis of the HMMU
		3.1 Description of the Hydroelectric Group
		3.2 Operational Analysis of the HMMU
	4 Conclusion
	References
Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry
	1 Introduction
	2 Digital Twin: Background, Definitions and Types
		2.1 Background and Definitions of Digital Twins
		2.2 Digital Twin: Types and Nominations
		2.3 Simulation vs. Digital Twin: What\'s the Difference Between Them ?
	3 Digital Twin in Mineral Processing: Values and Benefits
	4 Generic Multi-layered Architecture of Digital Twin in Industrial Field: Use Case Mineral Processing
		4.1 Data Circulation Between the Physical and Digital Counterparts
		4.2 Proposed Multi-layered Architecture for the Implementation
		4.3 Predictive Layer: Modeling Approaches
	5 Digital Twin in Mineral Processing; Challenges of Adoption
	6 Digital Twin in Mineral Processing: Underpinning Technologies
	7 Conclusion and Perspective
	References
Optimization of Collaborative Transport and Distribution Strategies: Trends and Research Opportunities
	1 Introduction
	2 Research Methodology
		2.1 Aim of the Research and Keywords
		2.2 Inclusion and Exclusion Criteria
		2.3 Databases
		2.4 Papers’ Selection
		2.5 Results’ Reporting
	3 Results
		3.1 Selected Papers
		3.2 Statistical Descriptive Analysis
		3.3 Categorization and Content Analysis
	4 Discussion
	5 Conclusion
	References
Comparative Analysis of Three-Phase Photovoltaic Inverters Control Techniques
	1 Introduction
	2 Three Phase Inverter Topologies
	3 Inverter Controllers Principle
		3.1 Sinusoidal Pulse Width Modulation Approach
		3.2 Third Harmonic Injection Pulse Width Modulation Approach
		3.3 Space Vector Pulse Width Modulation Approach
		3.4 PV Inverter Simulation with MATLAB Software
	4 Result and Discussion
	5 Conclusion
	Appendix
	References
Author Index