Modelling and Development of Intelligent Systems: 6th International Conference, MDIS 2019, Sibiu, Romania, October 3-5, 2019, Revised Selected Papers
3030392368, 9783030392369
This volume constitutes the refereed proceedings of the 6th International Conference on Modelling and Development of Int
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