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    Partial Entity Structure: A Compact Boundary Representation for Non-Manifold Geometric Modeling

    Source: Journal of Computing and Information Science in Engineering:;2001:;volume( 001 ):;issue: 004::page 356
    Author:
    Sang Hun Lee
    ,
    Kunwoo Lee
    DOI: 10.1115/1.1433486
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Non-manifold boundary representations have become very popular in recent years and various representation schemes have been proposed, as they represent a wider range of objects, for various applications, than conventional manifold representations. As these schemes mainly focus on describing sufficient adjacency relationships of topological entities, the models represented in these schemes occupy storage space redundantly, although they are very efficient in answering queries on topological adjacency relationships. To solve this problem, in this paper, we propose a compact as well as fast non-manifold boundary representation, called the partial entity structure. This representation reduces the storage size to half that of the radial edge structure, which is one of the most popular and efficient of existing data structures, while allowing full topological adjacency relationships to be derived without loss of efficiency. In order to verify the time and storage efficiency of the partial entity structure, the time complexity of basic query procedures and the storage requirement for typical geometric models are derived and compared with those of existing schemes.
    keyword(s): Structures , Manifolds , Storage AND Shells ,
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      Partial Entity Structure: A Compact Boundary Representation for Non-Manifold Geometric Modeling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/124867
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    contributor authorSang Hun Lee
    contributor authorKunwoo Lee
    date accessioned2017-05-09T00:04:17Z
    date available2017-05-09T00:04:17Z
    date copyrightDecember, 2001
    date issued2001
    identifier issn1530-9827
    identifier otherJCISB6-25910#356_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124867
    description abstractNon-manifold boundary representations have become very popular in recent years and various representation schemes have been proposed, as they represent a wider range of objects, for various applications, than conventional manifold representations. As these schemes mainly focus on describing sufficient adjacency relationships of topological entities, the models represented in these schemes occupy storage space redundantly, although they are very efficient in answering queries on topological adjacency relationships. To solve this problem, in this paper, we propose a compact as well as fast non-manifold boundary representation, called the partial entity structure. This representation reduces the storage size to half that of the radial edge structure, which is one of the most popular and efficient of existing data structures, while allowing full topological adjacency relationships to be derived without loss of efficiency. In order to verify the time and storage efficiency of the partial entity structure, the time complexity of basic query procedures and the storage requirement for typical geometric models are derived and compared with those of existing schemes.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePartial Entity Structure: A Compact Boundary Representation for Non-Manifold Geometric Modeling
    typeJournal Paper
    journal volume1
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.1433486
    journal fristpage356
    journal lastpage365
    identifier eissn1530-9827
    keywordsStructures
    keywordsManifolds
    keywordsStorage AND Shells
    treeJournal of Computing and Information Science in Engineering:;2001:;volume( 001 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian