Proceedings of the 18th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2023F669

Citation: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 1113–1117 (2023)

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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 set up a computational environment for 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 data processing algorithms that support most of the critical modules that have been implemented rely on parallel programming via both CPUs and GPUs. Furthermore, the quality of tomographic images under analysis is an issue of concern.

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