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

✍ Scribed by Dana Simian, Laura Florentina Stoica

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 211
• Series: Communications in Computer and Information Science, 1126
• Category: Library

✦ Synopsis

This volume constitutes the refereed proceedings of the 6th International Conference on Modelling and Development of Intelligent Systems, MDIS 2019, held in Sibiu, Romania, in October 2019.

The 13 revised full papers presented in the volume were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on adaptive systems; conceptual modelling; data mining; intelligent systems for decision support; machine learning.

✦ Table of Contents

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