Computational science and its applications -- ICCSA 2021 : 21st International Conference, Cagliari, Italy, September 13-16, 2021, Proceedings. Part I

Computational science and its applications -- ICCSA 2021 : Part I / 21st International Conference, Cagliari, Italy, September 13-16, 2021, Proceedings. Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A. C. Rocha, Eufemia Tarantino, Carmelo Maria Torre (eds.).

The ten-volume set LNCS 12949-12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13-16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic. The...

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Bibliographic Details
Corporate Author: ICCSA (Conference) Cagliari, Italy ; Online)
Other Authors: Gervasi, Osvaldo (Editor), Murgante, Beniamino (Editor), Misra, Sanjay (Editor), Garau, Chiara (Editor), Blečić, Ivan (Editor), Taniar, David (Editor), Apduhan, Bernady O. (Editor), Rocha, Ana Maria A. C. (Editor), Tarantino, Eufemia (Editor), Torre, Carmelo Maria (Editor)
Format: Electronic
Language:English
Published: Cham : Springer, 2021.
Series:Lecture notes in computer science ; 12949.
LNCS sublibrary. Theoretical computer science and general issues.
Subjects:
Computer science > Congresses.
Computer software > Congresses.
Computer networks > Congresses.
Software engineering > Congresses.
Computer networks.
Computer science.
Computer software.
Software engineering.
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Welcome Message from the Organizers
  • Organization
  • Contents
  • Part I
  • General Track 1: Computational Methods, Algorithms and Scientific Applications
  • Performance Evaluation of GPS Trajectory Rasterization Methods
  • 1 Introduction
  • 2 Tools and Rasterization Process Flow
  • 2.1 Rasterization with QGIS
  • 2.2 Rasterization with PostGIS
  • 2.3 Rasterization with Python
  • 2.4 Summary of Methods
  • 3 Setup of the Experiments
  • 4 Comparisons
  • 5 Conclusions
  • References
  • An Algorithm for Polytope Overlapping Detection
  • 1 Introduction
  • 2 Preliminaries
  • 3 Overlapping of Two Simplices
  • 4 The Overlap Detection Algorithm
  • 5 Overlap Detection Examples
  • 6 Conclusion
  • References
  • Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling
  • 1 Introduction
  • 2 Seismic Modelling
  • 3 Numerical Dispersion Mitigation Network (NDM-net)
  • 4 Numerical Experiments
  • 4.1 Marmousi2 Model
  • 4.2 Model with Vertical Intrusion
  • 5 Conclusions
  • References
  • A Variant of the Nonlinear Multiscale Dynamic Diffusion Method
  • 1 Introduction
  • 2 The New Dynamic Diffusion Method
  • 3 Numerical Results
  • 3.1 Convergence Rates
  • 3.2 Solution with Two Internal Layers
  • 3.3 Reaction-Diffusion Problem
  • 3.4 2D Advection-Diffusion-Reaction Problem
  • 4 Conclusions
  • References
  • A Convergence Study of the 3D Dynamic Diffusion Method
  • 1 Introduction
  • 2 Dynamic Diffusion Method
  • 3 Numerical Experiments
  • 3.1 Diffusion-Convection (DC) Problem
  • 3.2 Diffusion-Convection-Reaction (DCR) Problem
  • 4 Conclusions
  • References
  • Comparison Between Protein-Protein Interaction Networks CD4+T and CD8+T and a Numerical Approach for Fractional HIV Infection of CD4+T Cells
  • 1 Introduction
  • 2 Comparison Protein-Protein Interaction Networks CD4+T and CD8+T
  • 3 Mathematical Model Information
  • 4 Preliminary Remarks
  • 4.1 Discrete Chebyshev Polynomials
  • 4.2 Shifted Discrete Chebyshev Polynomials
  • 5 The Numerical Method
  • 6 Computational Results and Comparisons
  • 7 Conclusion
  • References
  • A Rapid Euclidean Norm Calculation Algorithm that Reduces Overflow and Underflow
  • 1 Introduction
  • 2 Related Work
  • 3 Blue Algorithm and Two-Accumulator Method
  • 3.1 Blue Algorithm
  • 3.2 Two-Accumulator Method with Fixed Scaling Value
  • 3.3 Two-Accumulator Method with Dynamic Scaling
  • 3.4 Input Range and Vector Size
  • 4 DD Arithmetic
  • 4.1 Overview of DD Arithmetic
  • 4.2 Euclidean Norm Calculation Using DD Arithmetic
  • 5 Evaluation of Performance and Relative Error
  • 5.1 Evaluation Method
  • 5.2 Evaluation Results
  • 6 Summary and Future Work
  • References
  • A Computational Analysis of the Hopmoc Method Applied to the 2-D Advection-Diffusion and Burgers Equations
  • 1 Introduction
  • 2 Hopmoc Method
  • 3 Computational Analysis
  • 3.1 Advection-Diffusion Equation
  • 3.2 Burgers Equation
  • 4 Conclusions
  • References

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