An Interface between 3D Modeling Tool and Scientific Data Format

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dc.contributor.authorMd.Tarique Hasan Khanko
dc.contributor.authorHan, Soonhungko
dc.date.accessioned2013-03-12T18:34:41Z-
dc.date.available2013-03-12T18:34:41Z-
dc.date.created2012-08-07-
dc.date.created2012-08-07-
dc.date.created2012-08-07-
dc.date.issued2012-04-
dc.identifier.citationInternational Journal of Machine Learning and Computing, v.2, no.2, pp.168 - 172-
dc.identifier.issn2010-3700-
dc.identifier.urihttp://hdl.handle.net/10203/103152-
dc.description.abstractIn these times scientific data format is used for versatile researches and wide varieties of computational work. Hierarchical Data Format (HDF) is such kind of powerful scientific data format, which can deal with very large dataset. HDF technologies address the problems of how to organize, store, discover, access, analyze, share and preserve data in the face of enormous growth in size and complexity. The aim of this research is to share as well as integrate the 3D modeling system’s data with HDF. Computer programs supplied by the HDF group have been modified for the incorporation purpose with 3D modeling system. Result of this research indicates that, now it will be much easy to share the modeling data of 3D tools with available other 3D modeling systems. Not only HDF but also other scientific data formats like CDF and NetCDF can be used in the near future for share and incorporation purpose with 3D modeling systems.-
dc.languageEnglish-
dc.publisherInternational Association of Computer Science and Information Technology Press-
dc.titleAn Interface between 3D Modeling Tool and Scientific Data Format-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.issue2-
dc.citation.beginningpage168-
dc.citation.endingpage172-
dc.citation.publicationnameInternational Journal of Machine Learning and Computing-
dc.contributor.localauthorHan, Soonhung-
dc.contributor.nonIdAuthorMd.Tarique Hasan Khan-
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