Analysis of Defective Patterns on Wafers in Semiconductor Manufacturing: A Bibliographical Review

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dc.contributor.authorYum, Bong-Jinko
dc.contributor.authorKoo, Jaehoonko
dc.contributor.authorKim, Seong-Junko
dc.date.accessioned2013-03-29T14:14:28Z-
dc.date.available2013-03-29T14:14:28Z-
dc.date.created2012-08-30-
dc.date.created2012-08-30-
dc.date.issued2012-08-21-
dc.identifier.citation2012 IEEE International Conference on Automation Science and Engineering (CASE), pp.86 - 90-
dc.identifier.urihttp://hdl.handle.net/10203/171296-
dc.description.abstractThe existing works on automatic detection and/or classification of clusters of defective dies on wafers is reviewed. The literature is classified into three major categories, namely, spatial randomness test, automatic cluster detection only, and automatic detection and classification of clusters. Future research directions are also discussed.-
dc.languageEnglish-
dc.publisherIEEE Robotics and Automation Society-
dc.titleAnalysis of Defective Patterns on Wafers in Semiconductor Manufacturing: A Bibliographical Review-
dc.typeConference-
dc.identifier.scopusid2-s2.0-84872586845-
dc.type.rimsCONF-
dc.citation.beginningpage86-
dc.citation.endingpage90-
dc.citation.publicationname2012 IEEE International Conference on Automation Science and Engineering (CASE)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationSeoul-
dc.contributor.localauthorYum, Bong-Jin-
dc.contributor.nonIdAuthorKoo, Jaehoon-
dc.contributor.nonIdAuthorKim, Seong-Jun-
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IE-Conference Papers(학술회의논문)
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