Modelling and Development of Intelligent Systems: 6th International Conference, MDIS 2019, Sibiu, Romania, October 3-5, 2019, Revised Selected Papers

Preface
Organization
Plenary Lecture 1
Intelligent Real-Time Control of Ground Robots
Plenary Lecture 2
Using Primitive Brains to Achieve Emergent Smart Solutions
Plenary Lecture 3
Swarm Intelligence Applied to Medical Image Analysis
Contents
Adaptive Systems
A Model of a Weighted Agent System for Personalised E-Learning Curriculum
	1 Introduction
	2 Adaptive E-Learning Systems
		2.1 Components of an Adaptive E-Learning System
	3 Literature Survey
	4 Proposed Model
		4.1 System Architecture and Component Details
		4.2 Adaptation Process
	5 Conclusion and Future Work
	References
From Digital Learning Resources to Adaptive Learning Objects: An Overview
	1 Introduction
	2 Adaptive Hypermedia Systems
		2.1 Adaptivity in Online Learning Environments
		2.2 Adaptive Educational Hypermedia Systems
		2.3 Approaches to Adaptive Technologies for AEHS
	3 Digital Learning Resources and Learning Objects
		3.1 Digital Learning Resources
		3.2 Learning Objects
		3.3 Standards for Learning Objects
	4 Adaptive Learning Objects
		4.1 From Learning Objects to Adaptive Learning Objects
		4.2 Approaches to Adaptive Learning Objects
	5 State-of-the-Art Models for ALOs
	6 Conclusion and Future Work
	References
Agile-Based Product Line Tool Development
	1 Introduction
	2 Requirements
	3 State of the Art
	4 Solutions
		4.1 1st Project: Feature Toolset
		4.2 2nd Project: Product Line Generator
	5 Comparison of Approaches and Conclusion
	6 Future Work
	References
Conceptual Modelling
Conceptual Model Engineering for Industrial Safety Inspection Based on Spreadsheet Data Analysis
	1 Introduction
	2 Related Works
	3 The Methodology
		3.1 Main Steps
		3.2 Example
	4 Discussion and Conclusions
	References
Data Mining
Nonlinearity Estimation of Digital Signals
	1 Introduction
	2 The State of the Problem
	3 Nonlinearity Estimation of Digital Signals
	4 MATLAB Realization
	5 Experimental Results
	6 Conclusions
	References
Aggregation on Learning to Rank for Consumer Health Information Retrieval
	1 Introduction
	2 Related Work
		2.1 Learning to Rank in Health Search
		2.2 Rank Aggregation Techniques
	3 Proposal
		3.1 Features Extracted
		3.2 Aggregation Strategies
	4 Experiments
		4.1 Data Collections
		4.2 Experimental Setup
		4.3 Baselines
		4.4 Developed Rankers
	5 Results
		5.1 Aggregated Rankers Evaluation
		5.2 Aggregation Methods Analysis
	6 Conclusion and Future Work
	References
Intelligent Systems for Decision Support
Intelligent System for Generation and Evaluation of e-Learning Tests Using Integer Programming
	1 Introduction
	2 Algorithm of Intelligent System for Generating and Evaluating e-Learning Tests
	3 Mathematical Model Based on Integer Programming for Generating and Evaluating e-Learning Tests
		3.1 Mathematical Model for Selection of Fewer Questions with Higher Degree of Difficulty
		3.2 Mathematical Model for Selection of More Questions with Less Degree of Difficulty
	4 Numerical Application
	5 Result Analysis
		5.1 Application of the Mathematical Model for Minimization/Maximization of the Questions’ Number Within the Generated Test
		5.2 Application of the Developed Prototype of the Intelligent System for Generation and Evaluation of e-Learning Tests Using 0–1 Integer Programming
	6 Conclusions
	References
Developed Framework Based on Cognitive Computing to Support Personal Data Protection Under the GDPR
	1 Introduction
	2 Literature Review
		2.1 Personal Data Protection in the IT Context
		2.2 What Changes with the GDPR?
		2.3 Cognitive Technology and Personal Data Protection
	3 Related Work
	4 Framework Design and Methodology
		4.1 Systematic Review
		4.2 Framework: Description and Design
	5 Discussion: The Role of Cognitive Computing
	6 Conclusion, Limitation and Future Research
	References
Machine Learning
Prediction of Greenhouse Series Evolution. A Case Study
	1 Introduction
	2 Study Region and Data Acquisition
	3 Mathematical Modeling
		3.1 Data Series Statistical Analysis
		3.2 Change Points Detection
		3.3 Series Stationarity
		3.4 Additive/Multiplicative Seasonal Decomposition
		3.5 Series Evolution Forecast
		3.6 AR(p)
	4 Results
		4.1 Statistical Analysis
		4.2 Break Points Detection
		4.3 KPSS Test
		4.4 Seasonal Decomposition
		4.5 Smoothing Methods
		4.6 AR Model
	5 Conclusion
	References
Analysing Facial Features Using CNNs and Computer Vision
	1 Introduction
	2 State of the Art
	3 Proposed Solution for a Facial Analysis System
	4 Learning-Based Facial Features Detection
		4.1 Gender Detection
		4.2 Face Detection and Face Landmark Localization
		4.3 Hair Segmentation and Hair Geometry Estimation
		4.4 Eyeglasses Detection and Shape Estimation
	5 Image Processing-Based Facial Features Detection
		5.1 Skin Segmentation
		5.2 Skin Color Extraction
		5.3 Eyebrow Detection
		5.4 Iris Localization and Color Recognition
	6 Experimental Results
		6.1 Train and Test Datasets
	7 Conclusions and Future Work
	References
Composite SVR Based Modelling of an Industrial Furnace
	1 Introduction
	2 White, Black and Grey Model Approaches
	3 Modelling a Billet Heating Furnace
		3.1 The Furnace
		3.2 Computational Fluid Dynamics Model
		3.3 Reduced-Order Model
		3.4 Machine Learning Model
	4 Experiments and Results
		4.1 Support Vector Regression
		4.2 Dataset
		4.3 Experiments
		4.4 Experimental Setup
		4.5 Results
	5 Conclusions and Future Work
	References
A Conceptual Framework for Software Fault Prediction Using Neural Networks
	1 Introduction
	2 Setting the Context
		2.1 Object Oriented Design Model
		2.2 Metrics Used
		2.3 Neural Networks
	3 Problem Statement
		3.1 Formal Statement of SFP Problem
		3.2 Objectives and Research Questions
	4 Software Fault Prediction – Related Work
	5 Proposed Model and Experiments
		5.1 Benchmark Dataset
		5.2 Data Preprocessing
		5.3 Neural Network Prediction Model Description
		5.4 Experiments Description
		5.5 Results and Validation
	6 Conclusions and Future Work
	References
Support Vector Machine Optimized by Fireworks Algorithm for Handwritten Digit Recognition
	1 Introduction
	2 Literature Review
	3 Guided Fireworks Algorithm
	4 The Proposed Algorithm
		4.1 Feature Extraction
		4.2 Classification
	5 Experimental Results
	6 Conclusion
	References
Author Index