Dynamics of Information Systems: 6th International Conference, DIS 2023, Prague, Czech Republic, September 3–6, 2023, Revised Selected Papers (Lecture Notes in Computer Science)

This book constitutes the proceedings of the 6th International Conference on Dynamics of Information Systems, DIS 2023, which took place in Prague, Czech Republic, in September 2023. The 18 full papers included in the book were carefully reviewed and selected from 43 submissions. They deal with topics ranging from theoretical, algorithmic, and practical perspectives in information systems, to offering readers valuable information, theories and techniques. Preface Organization Contents Using Data Mining Techniques to Analyze Facial Expression Motion Vectors 1 Introduction 2 Related Works 3 Dataset 4 Data Mining Techniques for Analyzing Motion Vectors of Facial Expression 4.1 Motion Vector Extraction 4.2 Face Segmentation 4.3 Facial Expression Classification 5 Experimental Results 6 Conclusions and Future Work References A Numerical Scheme for a Generalized Fractional Derivative with Variable Order 1 Introduction 2 Theoretical Results 3 Examples 4 Conclusion References A Risk-Cost Analysis for an Increasingly Widespread Monitoring of Railway Lines 1 Introduction 2 Theoretical Framework 3 Risk-Cost Analysis 4 Case Study 4.1 Data Interpolation and Goodness-of-Fit 4.2 Risk Level for the Buckling and Breaking Phenomena 4.3 Selection Criteria and Results 5 Conclusions References A Collaborative Multi-objective Approach for Clustering Task Based on Distance Measures and Clustering Validity Indices 1 Introduction 2 Clustering Measures 2.1 Intra-clustering Measures 2.2 Inter-clustering Measure 3 Cluster Validity Indices 3.1 Elbow Index 3.2 Davies-Bouldin Index 3.3 Calinski-Harabasz Index 3.4 CS Index 3.5 Dumn Index 4 Proposed Algorithms 4.1 Multi-objective Clustering Algorithm 4.2 Cluster Collaborative Indices Procedure 5 Results and Discussion 5.1 Results from Dataset 1 5.2 Results from Dataset 2 6 Conclusion and Future Works References Iranian Architectural Styles Recognition Using Image Processing and Deep Learning 1 Introduction 2 Background Research 3 Materials and Methods 4 Activation Function 5 Results 6 Conclusion References A Quasi-extreme Reduction for Interval Transportation Problems 1 Introduction 2 Interval Transportation Problem 3 Quasi-extreme Scenarios and Their Properties 4 Quasi-extreme Reduction 5 Conclusion References Assignment of Unexpected Tasks in Embedded System Design Process Using Genetic Programming 1 Introduction 2 Assumptions 2.1 Embedded System 2.2 Assignment of Unexpected Tasks 3 The Algorithm 3.1 The Genotype 3.2 The Embryo 3.3 Evolution 4 Experimental Results 5 Conclusions References Improving Handwritten Cyrillic OCR by Font-Based Synthetic Text Generator 1 Introduction 2 Related Work 2.1 Handwritten Text Recognition 2.2 Synthetic Text Generation 3 Font-Based Synthetic Text Generator 4 Data 4.1 HKR – Handwritten Kazakh and Russian Database 4.2 NKVD Dataset 4.3 Synthetic Data 5 Experiments 5.1 Metrics 5.2 Training Setup 5.3 State-of-the-Art Comparison 5.4 Synthetic Data Effect 6 Conclusion References A Critical Node-Centric Approach to Enhancing Network Security 1 Introduction 2 Related Work and Applications 3 Model Description 3.1 Closeness Centrality 3.2 Critical Node Identification 4 Node Centrality in Network Assessment 4.1 Assessing Network Vulnerability to Cyberattacks 4.2 Evaluating Network Robustness 4.3 Enhancing Network Security Through Critical Node Hardening 5 Conclusion References Strategic Decision-Making in Trauma Systems 1 Introduction 2 Methods and Design 2.1 A Theoretical Model 2.2 An Integrated Computational Framework 2.3 Data, Experimental Design and Outcome Measures 3 Results 3.1 Generating the Pareto-Efficient Frontier 3.2 Selecting a Restricted Set of Top-Ranked, Pareto-Efficient Portfolios 3.3 Incorporating Costs 3.4 Interdependency of Performance Measures 4 Limitations 5 Conclusion and Future Research References Dispersion of Personal Spaces 1 Introduction 2 Factors to Consider 3 Data and Its Evaluation 4 Basic Setup 5 Models of Seat Selection and Their Comparison 6 Summary References An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification 1 Introduction 2 Related Works 3 Methods 3.1 CNN 3.2 Datasets and Pre-processing 3.3 Genetic Algorithm 4 Experimental Setup 4.1 Evaluation Metric 5 Results 6 Discussion 7 Conclusion References Augmented Lagrangian Method for Linear Programming Using Smooth Approximation 1 Introduction 2 Augmented Lagrangian Method 3 Smooth Reformulation 4 Numerical Results 5 Conclusion References The Coherent Multi-representation Problem for Protein Structure Determination 1 Introduction 2 The CMP for Protein Structure Determination 3 New Representations in the Multi-representation 4 Dual Numbers and Automatic Differentiation 5 Conclusions References The Effects of Shift Generation on Staff Rostering 1 Introduction to Workforce Optimization 1.1 Introduction to Shift Generation 2 Employee-Based Shift Generation Problem and Staff Rostering Problem 3 The PEASTP Metaheuristic 4 Computational Results 5 Conclusions References Consumers Financial Distress: Prediction and Prescription Using Machine Learning 1 Introduction 2 Related Literature 3 Data and Methodology 3.1 Data Preparation 3.2 Methodology 4 Findings 5 Limitations of This Study and Possible Enhancements for Future Studies 6 Conclusion References Optimizing Classroom Assignments to Reduce Non-essential Interactions Among University-Level Students During Pandemics 1 Introduction 2 Literature Note 3 Mathematical Model 4 Numerical Study 5 Conclusion References Introducing a New Metric for Improving Trustworthiness in Real Time Object Detection 1 Introduction 2 Literature Review 3 Methodology 3.1 The Sequential Intersection over Union 3.2 A False Positive Filtering Procedure 4 Computational Experiments 5 Limitations and Further Research References Author Index