| Título : |
20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VII |
| Tipo de documento: |
documento electrónico |
| Autores: |
Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XX, 775 p. 405 ilustraciones, 254 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-50436-6 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Ciencias de la Computación Informática Ingeniería Informática Red de computadoras Inteligencia artificial Visión por computador Teoría de la Computación Matemáticas de la Computación Ingeniería Informática y Redes |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. El capítulo ''APE: una herramienta de línea de comandos y API para la composición automatizada de flujos de trabajo'' está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. |
| Nota de contenido: |
Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Decoupled and energy stable time-marching scheme for the interfacial flow with soluble surfactants -- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement -- A three-dimensional, one-field, fictitious domain method for fluid-structure interactions -- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows -- Monolithic arbitrary Lagrangian-Eulerian finite element method for a multi-domain blood flow-aortic wall interaction problem -- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method -- deal.II Implementation of a Two-field Finite Element Solver for Poroelasticity -- Numerical Investigation of Solute Transport in Fractured Porous Media Using the Discrete Fracture Model -- Adaptive multiscale model reduction for nonlinear parabolic equations using GMsFEM -- Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems -- Numerical simulation of heat transfer in an enclosure with time-periodic heat generation using finite-difference method -- Development of an Object-Oriented Programming Tool based on FEM for Numerical Simulation of Mineral-Slurry Transport -- Descending Flight Simulation of Tiltrotor Aircraft at Different Descent Rates -- The quantization algorithm impact in hydrological applications: preliminary results -- An Expanded Mixed Finite Element Method for Space FractionalDarcy Flow in Porous Media -- Prediction of the Free Jet Noise Using Quasi-Gas Dynamic Equations and Acoustic Analogy -- Simulation Based Exploration of Bacterial Cross Talk Between Spatially Separated Colonies in A Multispecies Biofilm Community -- Massively Parallel Stencil Code for Radiation Transport Moment Model Simulations -- Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification -- ArtPDGAN: Creating Artistic Pencil Drawing With Key Map Using Generative Adversarial Networks -- Interactive travel aid for the visually impaired – from depth maps to sonic patterns and verbal messages -- Ontology-Driven Edge Computing -- Combined Metrics for Quality Assessment of 3D Printed Surfaces for Aesthetic Purposes: Towards Higher Accordance with Subjective Evaluations -- Path Markup Language for Indoor Navigation -- Smart Fire Alarm System with Person Detection and Thermal Camera -- Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center -- A comparison of multiple objective algorithms in the context of a dial a ride problem -- Software Engineering for Computational Science -- Lessons learned in a decade of research software engineering GPU applications -- Unit Tests of Scientific Software: A Study on SWMM -- NUMA-Awareness as a Plug-In for an Eventify-based Fast Multipole Method -- Boosting Group-level Synergies by Using a Shared Modeling Framework -- Testing Research Software: A Case Study -- APE: A Command-Line Tool and API for Automated Workflow Composition -- Solving Problems with Uncertainties -- An ontological approach to Knowledge Building by Data Integration -- A Simple Stochastic Process Model for River Environmental Assessment under Uncertainty -- A posteriori error estimation via differences of numerical solutions -- Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model -- Robust single machine scheduling with random blocks in an uncertain environment -- Empirical Analysis of Stochastic Methods of Linear Algebra -- Wind field parallelization based on Python multiprocessing to reduce forest fire propagation prediction uncertainty -- Risk Profiles of Financial Service Portfolio for Women Segment using Machine Learning Algorithms -- Multidimensional BSDEs With Mixed Reflections And Balance Sheet Optimal Switching Problem -- Teaching Computational Science -- Modeling and Automatic Code Generation Tool for Teaching Concurrent and Parallel Programming by Finite State Processes -- Automatic feedback provision in teaching computational science -- Computational Science vs. Zombies -- Supporting education in algorithms of computational mathematics by dynamic visualizations using computer algebra system -- Teaching Complexity and Transdisciplinary Tools through a Computational Model of the Social Construction of Reality -- Bringing Harmony to Computational Science Pedagogy -- UNcErtainty QUantIficatiOn for ComputationAl modeLs -- Intrusive Polynomial Chaos for CFD using OpenFOAM -- Distributions of a general reduced-order dependence measure and conditional independence testing -- MCMC for Bayesian uncertainty quantification from time-series data -- Uncertainty quantification for multiscale fusion plasma simulations with VECMA toolkit -- Sensitivity analysis of soil parameters in crop model supported with high-throughput computing -- A bluff-and-fix algorithm for polynomial chaos methods -- Markov Chain Monte Carlo Methods for Fluid Flow Forecasting in the Subsurface. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VII [documento electrónico] / Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, . - 1 ed. . - [s.l.] : Springer, 2020 . - XX, 775 p. 405 ilustraciones, 254 ilustraciones en color. ISBN : 978-3-030-50436-6 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Ciencias de la Computación Informática Ingeniería Informática Red de computadoras Inteligencia artificial Visión por computador Teoría de la Computación Matemáticas de la Computación Ingeniería Informática y Redes |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. El capítulo ''APE: una herramienta de línea de comandos y API para la composición automatizada de flujos de trabajo'' está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. |
| Nota de contenido: |
Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Decoupled and energy stable time-marching scheme for the interfacial flow with soluble surfactants -- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement -- A three-dimensional, one-field, fictitious domain method for fluid-structure interactions -- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows -- Monolithic arbitrary Lagrangian-Eulerian finite element method for a multi-domain blood flow-aortic wall interaction problem -- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method -- deal.II Implementation of a Two-field Finite Element Solver for Poroelasticity -- Numerical Investigation of Solute Transport in Fractured Porous Media Using the Discrete Fracture Model -- Adaptive multiscale model reduction for nonlinear parabolic equations using GMsFEM -- Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems -- Numerical simulation of heat transfer in an enclosure with time-periodic heat generation using finite-difference method -- Development of an Object-Oriented Programming Tool based on FEM for Numerical Simulation of Mineral-Slurry Transport -- Descending Flight Simulation of Tiltrotor Aircraft at Different Descent Rates -- The quantization algorithm impact in hydrological applications: preliminary results -- An Expanded Mixed Finite Element Method for Space FractionalDarcy Flow in Porous Media -- Prediction of the Free Jet Noise Using Quasi-Gas Dynamic Equations and Acoustic Analogy -- Simulation Based Exploration of Bacterial Cross Talk Between Spatially Separated Colonies in A Multispecies Biofilm Community -- Massively Parallel Stencil Code for Radiation Transport Moment Model Simulations -- Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Learn More from Context: Joint Modeling of Local and Global Attention for Aspect Sentiment Classification -- ArtPDGAN: Creating Artistic Pencil Drawing With Key Map Using Generative Adversarial Networks -- Interactive travel aid for the visually impaired – from depth maps to sonic patterns and verbal messages -- Ontology-Driven Edge Computing -- Combined Metrics for Quality Assessment of 3D Printed Surfaces for Aesthetic Purposes: Towards Higher Accordance with Subjective Evaluations -- Path Markup Language for Indoor Navigation -- Smart Fire Alarm System with Person Detection and Thermal Camera -- Data Mining for Thermal Analysis of Big Dataset of HPC-Data Center -- A comparison of multiple objective algorithms in the context of a dial a ride problem -- Software Engineering for Computational Science -- Lessons learned in a decade of research software engineering GPU applications -- Unit Tests of Scientific Software: A Study on SWMM -- NUMA-Awareness as a Plug-In for an Eventify-based Fast Multipole Method -- Boosting Group-level Synergies by Using a Shared Modeling Framework -- Testing Research Software: A Case Study -- APE: A Command-Line Tool and API for Automated Workflow Composition -- Solving Problems with Uncertainties -- An ontological approach to Knowledge Building by Data Integration -- A Simple Stochastic Process Model for River Environmental Assessment under Uncertainty -- A posteriori error estimation via differences of numerical solutions -- Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model -- Robust single machine scheduling with random blocks in an uncertain environment -- Empirical Analysis of Stochastic Methods of Linear Algebra -- Wind field parallelization based on Python multiprocessing to reduce forest fire propagation prediction uncertainty -- Risk Profiles of Financial Service Portfolio for Women Segment using Machine Learning Algorithms -- Multidimensional BSDEs With Mixed Reflections And Balance Sheet Optimal Switching Problem -- Teaching Computational Science -- Modeling and Automatic Code Generation Tool for Teaching Concurrent and Parallel Programming by Finite State Processes -- Automatic feedback provision in teaching computational science -- Computational Science vs. Zombies -- Supporting education in algorithms of computational mathematics by dynamic visualizations using computer algebra system -- Teaching Complexity and Transdisciplinary Tools through a Computational Model of the Social Construction of Reality -- Bringing Harmony to Computational Science Pedagogy -- UNcErtainty QUantIficatiOn for ComputationAl modeLs -- Intrusive Polynomial Chaos for CFD using OpenFOAM -- Distributions of a general reduced-order dependence measure and conditional independence testing -- MCMC for Bayesian uncertainty quantification from time-series data -- Uncertainty quantification for multiscale fusion plasma simulations with VECMA toolkit -- Sensitivity analysis of soil parameters in crop model supported with high-throughput computing -- A bluff-and-fix algorithm for polynomial chaos methods -- Markov Chain Monte Carlo Methods for Fluid Flow Forecasting in the Subsurface. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VII
