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Porcelain Laminate Veneer Restoration (Porcelain laminate veneer의 수복)

  • Shin, Soo-Yeon
    • Journal of Dental Rehabilitation and Applied Science
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    • v.28 no.2
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    • pp.191-200
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    • 2012
  • The patients' demand for treatment of unesthetic anterior teeth is steadily growing. Accordingly, several treatment options such as porcelain laminate veneers(PLV) have been proposed to restore the esthetic appearance of the dentition. Porcelain laminate veneers are considered minimally invasive, but they also require removal of sound enamel. One critical step in the porcelain laminate veneer technique is the achievement of sufficient ceramic thickness, and several different strategies for tooth preparation can be found in the literature. This clinical report describes a step-by-step protocols for preparation of these restorations used with the silicone index from diagnostic wax-up and the acrylic resin mock-up. Conservative use of porcelain laminate veneers provided satisfactory esthetic outcomes and preserved sound tooth structure.

Korean Document Classification Using Extended Vector Space Model (확장된 벡터 공간 모델을 이용한 한국어 문서 분류 방안)

  • Lee, Samuel Sang-Kon
    • The KIPS Transactions:PartB
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    • v.18B no.2
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    • pp.93-108
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    • 2011
  • We propose a extended vector space model by using ambiguous words and disambiguous words to improve the result of a Korean document classification method. In this paper we study the precision enhancement of vector space model and we propose a new axis that represents a weight value. Conventional classification methods without the weight value had some problems in vector comparison. We define a word which has same axis of the weight value as ambiguous word after calculating a mutual information value between a term and its classification field. We define a word which is disambiguous with ambiguous meaning as disambiguous word. We decide the strengthness of a disambiguous word among several words which is occurring ambiguous word and a same document. Finally, we proposed a new classification method based on extension of vector dimension with ambiguous and disambiguous words.