English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 13695156      Online Users : 38
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    National Tsing Hua University Institutional Repository > 工學院  > 工業工程與工程管理學系 > 期刊論文 >  3D part similarity comparison based on levels of detail in negative feature decomposition using artificial neural network


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/27048


    Title: 3D part similarity comparison based on levels of detail in negative feature decomposition using artificial neural network
    Authors: Cheng, Han-Chung;Chu, Chih-Hsing;Wang, Eric;Kim, Yong-Se
    教師: 瞿志行
    Date: 2007
    Publisher: Cad Solutions
    Relation: Computer-Aided Design and Applications, Volume 4, Issue 1-6, 2007, Pages 619-628
    Keywords: Similarity assessment
    levels of detail (LOD)
    negative feature
    feature recognition
    part search
    design retrieval
    Abstract: © 2007 Cad Solutions - Duplicate designs consume a significant amount of company resources during product development. Search for similar parts for a given query part, which facilitates design reuse, is crucial to avoiding this problem. Previous studies have only compared parts on a complete scale, not on a partial scale. This paper proposes a novel scheme which incorporates the concept of LOD (Levels of Detail) into 3D part comparison in order to assess partial similarity. Different LOD variants are generated from negative feature decomposition of a solid model. A human comparison behavior model (HCBM), mainly consisting of a back-propagation artificial neural network (ANN), is established by training with the result of a similarity ranking experiment. It combines the dissimilarity value at each LOD based on a modified D2 distribution. Test examples show that the proposed scheme is effective in 3D part search with LODs.
    URI: http://www.cadanda.com/CAD_4_5__05.PDF
    http://www.cadanda.com/
    http://nthur.lib.nthu.edu.tw/handle/987654321/27048
    Appears in Collections:[工業工程與工程管理學系] 期刊論文

    Files in This Item:

    File SizeFormat
    0KbUnknown1168View/Open


    在NTHUR中所有的資料項目都受到原著作權保護,僅提供學術研究及教育使用,敬請尊重著作權人之權益。若須利用於商業或營利,請先取得著作權人授權。
    若發現本網站收錄之內容有侵害著作權人權益之情事,請權利人通知本網站管理者(smluo@lib.nthu.edu.tw),管理者將立即採取移除該內容等補救措施。

    SFX Query

    與系統管理員聯絡

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback