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K-최근접 이웃 분류기를 이용한 원공결함을 갖는 유한 폭 판재의 음향방출 음원특성과 파괴거동에 관한 연구
이장규,우창기,오진수 한국공작기계학회 2008 한국공작기계학회 춘계학술대회논문집 Vol.2008 No.-
The objective of this study is to evaluate an acoustic emission (AE) source characterization and fracture behavior of the SM45C steel by using k-nearest neighbor (KNN) classifier. In previous research continuously, simple tension and AE tests were conducted against the 5 kind of circular hole defect coupons. Also, for this, we used K-means clustering as an unsupervised learning method for obtained multivariate AE main data sets, such as AE counts, energy, amplitude, risetime, duration and counts to peak. And we applied KNN classifier as a supervised learning pattern recognition algorithm for obtained multivariate AE working data sets. Through the classified results, i.e., determinant criterion (Wilk) and heuristic criteria (Rij & Tou), of the effectiveness of the proposed method is discussed.
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이장규,이수정,임명호,Lee, Jang Kyu,Lee, Soo Jung,Lim, Myung Ho 대한불안의학회 2016 대한불안의학회지 Vol.12 No.2
Paraphilia and paraphilic disorder is one of mental disorders making it difficult to assess and treat. Recently, a number of methods for assessing the paraphilia are being developed gradually outside south Korea. And the reliability and validity of various assessment tools are being reported. The standardization of the assessments and questionnaires was not made yet. For assessment of paraphilia that has been reported from abroad, the author comprehensively organized clinical interview, physical examination, psycho-physiological methods, self-reporting scale of sexual thoughts, fantasies and attitudes and multiple self-reporting scale of sexual interests and described the clinical significance of the assessment tools. The national standardization of both self-reported questionnaire and physical evaluations is expected to be completed later.
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