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Data constrained modelling : ウィキペディア英語版
Data constrained modelling

Data constrained modelling (DCM) refers to a research and development methodology where the sample-specific data and information, and a theoretical model are tightly integrated for quantitative modeling of a physical system
.〔http://research.csiro.au/dcm/〕
The DCM methodology has been developed by Dr Y. Sam Yang Et Al at CSIRO since 2007 in relation to 3D characterization of material compositional microstructures and microstructure-based properties,
〔Y. S. Yang, A. Tulloh, I. Cole, S. Furman and A. Hughes, A data-constrained computational model for morphology structures. J. Aust. Ceram. Soc. 43 (2007) 159-164〕
and has been implemented as a DCM software
〔Sam Yang, Andrew Tulloh, Clement Chu, Fiona Chen, John Taylor, DCM - A Software Platform for Advanced 3D Materials Modelling, Characterisation and Visualization. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:9448〕
.〔Sam Yang, Clement Chu, Ben Clennell, A CIPS sandstone X-ray CT data set for DCM tutorial training. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:12663〕
In contrast to the conventional image segmentation technique to derive microstructures from X-ray CT (computed tomography) images which imposes an arbitrary length-scale cut-off at the image pixel size scale, DCM incorporates fine structures below X-ray CT image resolution as voxel compositional partial volumes.
Consequently, the fine length-scale information below image pixel size is preserved
〔Y.S. Yang, A data-constrained non-linear optimisation approach to a data-constrained model for compositional microstructure prediction. In Lecture Notes in Information Technology 15 (ISBN 978-1-61275-015-6, ISSN:2070-1918, Electronically available at http://www.ier-institute.org/2070-1918.html, 2012, Information Engineering Research Institute) pp198-205〕
〔Sam Yang, John Taylor, Steve Wilkins, Integrate model and data to visualize microstructures of materials non-destructively, Conference on Computational Physics – CCP2012 (2012) (14–18 October 2012, Kobe, Japan)〕
〔Y S Yang, A Tulloh, F Chen, K Y Liu, B Clennell, J Taylor, Data-constrained characterization of sandstone microstructures with multi-energy X-ray CT. J. Phys – Conference Series 463 (2013) 012048 doi:10.1088/1742-6596/463/1/012048. http://iopscience.iop.org/1742-6596/463/1/012048;jsessionid=14D8BB5CBA864ED3F7736044199DEC49.c3〕
.〔Sam Yang and John Taylor, SPIE Newsroom (29 Sept 2010), doi: 10.1117/2.1201009.003099, URL: http://spie.org/x42055.xml

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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