Computational Science - ICCS 2023

Name: Computational Science - ICCS 2023 | 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part III
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23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part III

Jirí Mikyska Clélia de Mulatier Maciej Paszynski Valeria V. Krzhizhanovskaya Jack J. Dongarra Peter M.A. Sloot(Herausgeber*in)

Springer (Verlag)

Erschienen am 27. Juni 2023

XXII, 687 Seiten

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978-3-031-36024-4 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents - Part III
Computational Collective Intelligence
Balancing Agents for Mining Imbalanced Multiclass Datasets - Performance Evaluation
1 Introduction
2 Balancing Agents
3 Computational Experiment
3.1 Experiment Plan
3.2 Performance Measures
3.3 Experiment Results
4 Conclusions
References
Decision Tree-Based Algorithms for Detection of Damage in AIS Data
1 Introduction
2 Related Works
3 Problem Formulation
4 Proposed Approach for Damage Detection
4.1 Anomaly Detection
4.2 Detection of Damage in Standalone Clusters
4.3 Detection of Damage Inside Proper Clusters
5 Computational Experiment
5.1 Overview
5.2 Results
6 Conclusions
References
The Role of Conformity in Opinion Dynamics Modelling with Multiple Social Circles
1 Introduction
2 Related Work
3 Conceptual Framework
3.1 Multilayer Networks
3.2 Continuous Opinions
3.3 Authority
3.4 Conformity
3.5 Openness to New Views
3.6 Sociability
4 Simulations
4.1 Conformism in Multiple Social Circles
4.2 Conformism and Other Factors
5 Conclusions
References
Impact of Input Data Preparation on Multi-criteria Decision Analysis Results
1 Introduction
2 Methodology
3 Results
4 Conclusions
References
Computational Diplomacy and Policy
Automating the Analysis of Institutional Design in International Agreements
1 Introduction
2 Institutional Grammar and Graphs
3 Our Prototype
3.1 IG Tagger
3.2 Graph of Entities Extraction
4 Use Case and Impact
5 Conclusions
References
Modeling Mechanisms of School Segregation and Policy Interventions: A Complexity Perspective
1 Introduction
2 Features of Complex Systems
2.1 Emergence
2.2 Self-organization, Adaptation and Robustness
2.3 Feedback, Non-linearity and Tipping Points
2.4 Path-dependency
3 Complexity in the Mechanisms of School Segregation
3.1 Distance
3.2 School Profile
3.3 School Quality
3.4 School Assignment
3.5 Gatekeeping
3.6 Social Network
3.7 School Composition
4 Modeling School Segregation Dynamics
4.1 Agent-Based Models
4.2 An Alternative Explanation for Excess School- Relative to Residential Segregation
4.3 An ABM of Amsterdam Primary School Choice
5 Challenges
6 Conclusion
References
An Approach for Probabilistic Modeling and Reasoning of Voting Networks
1 Introduction
2 Fundamental Concepts
3 Literature Review
4 Methodology
4.1 Edge Weighting
4.2 Probabilistic Centrality
4.3 Political Contextualization
5 Experimental Evaluation
5.1 Synthetic Data
5.2 Real Data
6 Conclusion
References
An Analysis of Political Parties Cohesion Based on Congressional Speeches
1 Introduction
2 Theoretical Reference
2.1 Natural Language Processing
2.2 Clustering
3 Related Works
4 Methodology
4.1 Preliminary Approach
4.2 Proposed Approach
4.3 Validation of Results
5 Experimental Evaluation
5.1 Hyper-parameter Optimization and Correlation Analysis
5.2 Party Cohesion Analysis
6 Conclusion
References
Computational Health
Comparative Study of Meta-heuristic Algorithms for Damage Detection Problem
1 Introduction
2 Structure of Damage Detection Problem
2.1 Damage Detection Modelling
2.2 The Objective Function Based on Modal Flexibility
3 Instruction to the Optimization Method
3.1 Differential Evolution DE
3.2 Particle Swarm Optimization PSO
3.3 Teaching Learning Based Optimization TLBO
3.4 Artificial Bee Colony ABC
3.5 Harmony Search HS
3.6 Sparrow Search Algorithm SSA
3.7 Gaining Sharing Knowledge-Based Algorithm GSK-Ali
3.8 Manta Ray Foraging Optimization MRFO
3.9 Pathfinder Algorithm PFA
4 Experimental Results
4.1 Test Setup
4.2 Numerical Result
5 Conclusions
References
Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation
1 Introduction
2 Related Work
2.1 The Impact of COVID-19 Pandemic on Healthcare
2.2 Modelling Progression of the Disease
2.3 Costs of Breast Cancer Care
3 Methodology
4 Results and Discussion
5 Conclusion
References
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers
1 Introduction
2 Methods
2.1 Recent and Historical Biomarker Datasets
2.2 Machine Learning for Risk Stratification
2.3 Understanding Important Biomarkers for Risk Stratification
3 Results
4 Discussion
5 Conclusions
References
A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
1 Introduction
2 Materials and Methods
2.1 Data
2.2 Modelling
3 Results and Discussion
4 Conclusions and Future Works
References
Supervised Machine Learning Techniques Applied to Medical Records Toward the Diagnosis of Rare Autoimmune Diseases
1 Introduction
2 Objective
3 Methods
3.1 Database Elaboration
3.2 Analysis Software
3.3 Classification Algorithms
3.4 Quality Metrics
4 Results
4.1 Training Set
4.2 Test Set
4.3 Applied Classifiers in the Test Set
4.4 Comparison Between Models
5 Discussion
6 Conclusion
References
Handwriting Analysis AI-Based System for Assisting People with Dysgraphia
1 Introduction
2 Literature Review
3 Handwriting Analysis AI-Based System for Dysgraphic Person's Aid
3.1 Handwritten Text Detection
3.2 Handwritten Text Recognition Model
3.3 Spelling Correction
3.4 Grammar Correction
3.5 Text-to-Speech Conversion
4 Experimental Evaluation
4.1 The Dataset
4.2 Results and Discussion
5 Conclusion
References
Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography
1 Introduction
2 Methods
2.1 Video Signal Quality Check
2.2 Face Detection and Facial Components Estimations
2.3 Eye Move Estimations
2.4 Experimental Application
3 Results
4 Discussions
5 Conclusions
References
RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques
1 Introduction
2 Related Works
3 Methods
3.1 Types of Spelling Errors
3.2 Datasets
3.3 Algorithm
3.4 Implementation
3.5 Language Model
3.6 Python Package
4 Experiments
5 Results and Discussion
6 Conclusion
References
Named Entity Recognition for De-identifying Real-World Health Records in Spanish
1 Introduction
2 Related Works
3 Materials
3.1 Galén Texts Annotation
3.2 Named Entities
3.3 Data Augmentation
4 Methods
4.1 Recurrent Neural Models
4.2 Transformers
5 Experiments and Results
5.1 NER systems comparison
5.2 Metrics for Each NE
6 Conclusions
References
Discovering Process Models from Patient Notes
1 Introduction
2 Related Work
3 The Mining Process
3.1 Unlabelled Event Log Requirements
3.2 Text Processing
3.3 Calculating Event Positions
3.4 Hierarchical Clustering
3.5 Labelling the Ontology
3.6 Interactive Process Miner
4 Use Case
5 Conclusion and Future Works
References
Knowledge Hypergraph-Based Multidimensional Analysis for Natural Language Queries: Application to Medical Data
1 Introduction
2 Related Works
3 Proposed Approach
3.1 xR2RML mappings generation and KHG building module
3.2 Reformulation Module
3.3 Verification Module
3.4 Multidimensional SPARQL Query Treatment Module
4 Evaluation and Discussion
4.1 Evaluation of the KHG's Completeness
4.2 Evaluation of the KHG-Based MDA
5 Conclusions and Future Work
References
Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation
1 Introduction
2 Methods
2.1 Finite Element Model
2.2 Agent-Based Model
2.3 Coupling AB and FE Simulations
2.4 Pressurization Tests
2.5 Assessing the Results
3 Results
4 Discussion
5 Conclusions
References
Does Complex Mean Accurate: Comparing COVID-19 Propagation Models with Different Structural Complexity
1 Introduction
2 Methods
2.1 Logistic Models
2.2 SEIR Models
2.3 Accuracy Indicators
3 Results
4 Discussion
References
Multi-granular Computing Can Predict Prodromal Alzheimer's Disease Indications in Normal Subjects
1 Introduction
2 Methods
2.1 Rough Set Implementation of GC
3 Results
3.1 Statistics
3.2 Rules from the General Model (Group1)
3.3 Granular Computing for Reference of Group2 Patients
3.4 GC Classification for Longitudinal Reference of Early Stages in AD Patients
4 Discussion
References
Accounting for Data Uncertainty in Modeling Acute Respiratory Infections: Influenza in Saint Petersburg as a Case Study
1 Introduction
2 Methods
2.1 Incidence Data
2.2 Modeling Framework
2.3 Calibration Algorithm
2.4 Forecasting
2.5 Uncertainty Quantification
3 Experiments and Results
3.1 Interval Estimates of Model Parameters
4 Model Forecast
5 Conclusion
References
A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study
1 Introduction
2 Objectives
3 Methods
3.1 Scenario: Research Data on TB in Brazil
3.2 Use Case: Line Probe Assay (LPA) Project
3.3 Knowledge Discovery in Databases Methods
3.4 Tools and Technologies
4 Results
5 Discussion
6 Conclusion
References
Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
1 Introduction
2 Material and Methods
2.1 Bibliographic Database
2.2 Study Design
2.3 Software and Data Analysis
2.4 Ethical Considerations
3 Results
3.1 General Information
3.2 Countries
3.3 Affiliation and Institutions
3.4 Sources and Publications
3.5 Authors
3.6 Keywords and Concepts
4 Discussion
5 Conclusion
References
Computational Modelling of Cellular Mechanics
Simulating Initial Steps of Platelet Aggregate Formation in a Cellular Blood Flow Environment
1 Introduction
2 Initial Platelet Aggregate Formation Model
2.1 Conceptual Model Considerations
2.2 Model Design and Implementation
3 Case Study
4 Discussion
5 Conclusion
References
Estimating Parameters of 3D Cell Model Using a Bayesian Recursive Global Optimizer (BaRGO)
1 Introduction
2 Bayesian Inference on Population Parameters in Evolutionary Optimization
3 Bayesian Recursive Global Optimizer (BaRGO)
4 Applications of BaRGO
4.1 Estimating Function Parameters in 2D Minimization Problems
4.2 Estimating the RBC Model Parameters Using Data from Optical Tweezers Experiment
5 Conclusions
References
A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics
1 Introduction
2 Materials and Methods
2.1 Cell Culture
2.2 Multicolor Marking
2.3 Treatment Assay
2.4 The Effect of Fibroblasts on Cell Growth
2.5 Imaging
2.6 Image Analysis
2.7 Model Development
3 Results and Discussions
4 Conclusions
References
Computational Optimization, Modelling and Simulation
Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management
1 Introduction
2 Antenna Optimization. Variable-Resolution Models
2.1 EM-driven Design. Problem Formulation
2.2 Variable-Resolution EM Models
3 Population-Based Optimization with Variable-Fidelity EM Models
3.1 Nature-Inspired Algorithms. Generic Structure
3.2 Variable-Resolution Model Management
4 Demonstration Experiments
4.1 Test Cases
4.2 Setup and Numerical Results
4.3 Discussion
5 Conclusion
References
Dynamic Core Binding for Load Balancing of Applications Parallelized with MPI/OpenMP
1 Introduction
2 Dynamic Core Binding (DCB)
2.1 Concept of DCB
2.2 Binding Policy
2.3 Load Balancing Among Nodes
3 DCB Library
3.1 Interface
3.2 Creation of Load-Balanced Communicator
4 Numerical Evaluations
4.1 Target Application
4.2 Environments and Conditions
4.3 Effectiveness of the Load-Balancing Among Nodes Using SA
4.4 Performance Improvement
4.5 Reducing Energy Consumption
5 Conclusion
References
Surrogate-Assisted Ship Route Optimisation
1 Introduction
2 Related Research
3 Problem Formulation
4 Proposed Solution
4.1 The Solution Space Representation
4.2 Pruning in Simulation and Estimation
4.3 Surrogate-Based Performance Measure Estimator
4.4 The Algorithm
5 Results and Discussion
6 Conclusions
A The Ship Simulation Model
References
Optimization of Asynchronous Logging Kernels for a GPU Accelerated CFD Solver
1 Introduction
2 Description of the FaSTAR Solver
2.1 Solver Introduction
2.2 Acceleration of the Solver
2.3 Asynchronous Execution of Logging Kernels
3 Implementation of Mixed Precision Kernels
3.1 Single Precision
3.2 Half Precision
4 Validation and Performance
4.1 Description of the Cases
4.2 Accuracy Analysis
4.3 Performance Analysis
5 Conclusion
References
Constrained Aerodynamic Shape Optimization Using Neural Networks and Sequential Sampling
1 Introduction
2 Aerodynamic Shape Optimization
2.1 Problem Formulation
2.2 Constrained GBO Algorithm with Adjoints
2.3 Constrained EGONN Algorithm
3 Results
4 Conclusion
References
Optimal Knots Selection in Fitting Degenerate Reduced Data
1 Introduction
2 Degenerate Case: First and Last Accelerations Given
3 Critical Points for Degenerate Case
4 Experiments
5 Conclusions
References
A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
1 Introduction
2 Preliminaries
3 Problem Formulation
3.1 Correctness
3.2 Space Complexity
4 Experiment
4.1 Simulation Instances Generation
4.2 Experimental Setup
4.3 Results
4.4 Discussion
5 Conclusion
References
Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
1 Introduction
2 Statement of the Problem and Differential Equations of Motion
3 Equation of Motion in the Osculating Elements
3.1 Extraction of the Perturbing Function
3.2 Differential Equations of Motion in Analogues of the Second System of Poincaré variables
4 The Secular Part of the Main Part of the Perturbing Function
5 Evolutionary Equations
5.1 Derivation of Evolution Equations
5.2 Transition to Dimensionless Variables
6 The Algorithm of Calculations
7 Conclusion
References
Transparent Checkpointing for Automatic Differentiation of Program Loops Through Expression Transformations
1 Introduction
1.1 Adjoint Timestepping Checkpointing
1.2 Contribution
1.3 Use Case: Burgers' Equation
2 Design of Checkpointing.jl
3 Implementation
4 Results
5 Conclusion
References
Performance of Selected Nature-Inspired Metaheuristic Algorithms Used for Extreme Learning Machine
1 Introduction
2 Extreme Learning Machine
2.1 Classification
3 Genetic Extreme Learning Machine
4 Nature-Inspired Metaheuristic Algorithms
5 Experiments and Results
6 Conclusions
References
Simulation?Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
1 Introduction
2 Decision Support in Supply Chain Management
3 Case Study
3.1 Problem Definition
3.2 Methods
3.3 Data and Input Parameters
3.4 Assumptions
3.5 Simulation Phase
3.6 Verification and Validation
4 Results
4.1 Simulation-Based Optimisation Scenarios
4.2 Discussion
4.3 The Concept of Digital Twin in SC Inventory Control
5 Conclusions
References
Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
1 Introduction
2 Methods
2.1 Cut Evaluation and Data Labelling
2.2 Unsupervised Pre-training
2.3 Model Architecture
2.4 Data Sets
2.5 Hyperparameters
2.6 Implementation
3 Results
4 Conclusion
References
Efficient Uncertainty Quantification Using Sequential Sampling-Based Neural Networks
1 Introduction
2 Methods
3 Numerical Experiments
4 Conclusion
References
Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks
1 Introduction
2 Physics-Informed Neural Networks
3 Hierarchical PINN
3.1 Hierarchical Design of Networks
3.2 HiPINN Algorithm
4 Numerical Experiments
4.1 Poisson Equation
4.2 Steady-State Advection-Diffusion Equation
5 Discussions and Conclusions
References
SPMD-Based Neural Network Simulation with Golang
1 Introduction
2 Related Work and Baseline Research
3 Parallel Neuronal Networks
4 Performance Evaluation
4.1 Network Configurations
4.2 Comparing the Performances
5 Findings and Conclusion
References
Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
1 Introduction
2 Domain-Confined Modeling Using Pre-screening and Dimensionality Reduction
2.1 Performance-Driven Modeling
2.2 Domain Definition
3 Results
4 Conclusion
References
Real-Time Reconstruction of Complex Flow in Nanoporous Media: Linear vs Non-linear Decoding
1 Introduction
2 Fluid Flow in 2D Porous Medium
2.1 Mathematical Framework for the Velocity Field Reconstruction
3 Shallow Neural Decoder
4 Least Squares Linear Algorithm
5 Monte Carlo Optimization of Gauge Placement
6 Conclusion
References
Model of Perspective Distortions for a Vision Measuring System of Large-Diameter Bent Pipes
1 Introduction
2 Description of the Proposed Measuring System
3 Mathematical Models of Bent Pipes
3.1 Single-Bent Pipe Model
3.2 Twice-Bent Pipe Model in One Plane
4 Determining the Angle of Bending and Straight Sections of Pipes
5 Experimental Research
6 Conclusions
References
Outlier Detection Under False Omission Rate Control
1 Introduction
2 FOR Control Procedure
2.1 Preliminaries
2.2 Control of FOR: Theoretical Results
2.3 FOR Control: Empirical Rule
2.4 Construction of p-values
3 Experimental Setting
4 Results
5 Conclusions
References
Minimal Path Delay Leading Zero Counters on Xilinx FPGAs
1 Introduction
1.1 Efficient Logic Block Usage on Xilinx FPGAs
2 High-Level-Synthesis (HLS) Tools Background
3 Description of the LZC Design and Implementation
3.1 Demonstration of the Design on a Small-Sized Example
4 Results and Discussion
5 Conclusion
References
Reduction of the Computational Cost of Tuning Methodology of a Simulator of a Physical System
1 Introduction
2 The Simulation Model and the Simulation Domain Characterization
3 Proposed Methodology
3.1 Check Simulation - Reality
3.2 Simulations Shoot
3.3 Set/Get Past Events
4 Experience Environment and Experimental Results
5 Conclusions and Future Works
References
A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
1 Introduction
2 Preliminaries
2.1 Notations and Definitions
2.2 Related Work
3 Contributions
3.1 Initial Partitioning Based on Breadth-First Search Driven by Vertex Criticality (DBFS)
3.2 Initial Partitioning Based on Depth-First Search and Vertex Criticality (DDFS)
3.3 FM-Based Local Optimization Heuristic (DKFM)
4 Experimental Results
4.1 Methdology
4.2 Initial Partitioning Algorithms
4.3 Refinement Algorithm
5 Conclusion and Future Work
References
Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes
1 Introduction
2 Related Work
3 Problem Definition
4 The Algorithm
5 Case Study
5.1 Data Set
5.2 Knowledge Graph
5.3 Experiments
6 Summary
References
Dynamic Data Replication for Short Time-to-Completion in a Data Grid
1 Introduction
2 State of the Art
3 Optimization Method
4 Justification and Evaluation
5 Results and Conclusions
6 Conclusion and Future Work
References
Detection of Anomalous Days in Energy Demand Using Leading Point Multi-regression Model
1 Introduction
2 Leading Points Multi-regression Model
2.1 Data
2.2 Model, Errors and Variable Selection
2.3 Application of the Model
3 Analysis of Anomalyous Profiles
3.1 Daily Errors of the Model
3.2 Identification of Unusual Daily Energy Consumption Profiles
4 Summary
References
Correction to: Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation
Correction to: Chapter 20 in: J. Mikyska et al. (Eds.): Computational Science - ICCS 2023, LNCS 14075, https://doi.org/10.1007/978-3-031-36024-4_20
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