PSE for Analysis of 3D Tomographic Images in Materials Science

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the field of Materials Science, tomographic images play an important role in the analysis of composite materials. We present a computational environment that helps specialists in the field to carry out analysis and evaluation of samples of composite materials. This environment takes the form of a tailored Problem Solving Environment (PSE) and builds upon the SCiRun PSE. Its implementation is driven primarily by four major attributes: modularity, flexibility, interactivity and performance. Users can easily assemble networks of modules, with some of the modules being specifically designed for materials science analysis. These modules are flexible in terms of configuration, so yielding more flexibility to the setup of the networks, as well as in relation to the user interaction upon them once running. The implementation of data processing algorithms supporting critical modules rely on parallel programming. Furthermore, the quality of tomographic images under analysis is an issue of concern.
Original languageEnglish
Title of host publicationProceedings of the 18th Conference on Computer Science and Intelligence Systems
EditorsMaria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Dominik Slezak
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1113-1117
Number of pages5
ISBN (Electronic)978-839674478-4
DOIs
Publication statusPublished - 2023
Event18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023 - Warsaw, Poland
Duration: 17 Sept 202320 Sept 2023

Publication series

NameProceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Volume35

Conference

Conference18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023
Country/TerritoryPoland
CityWarsaw
Period17/09/2320/09/23

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