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盧光鉉,權景味,金鐘銀 숙명여자대학교 자연과학연구소 1995 자연과학논문집 Vol.- No.6
Four calix[4]arenes having two different substituents at upper rim in AAAB fashion were synthesized in 22-38% yield by the '3+1' coupling reaction between trimer of p-substituted phenol (AAA) and bishydroxymethylated p-substituted phenol (B). The structure of calix[4]arene was confirmed from the ¹H and ?? NMR spectra.
최보문,김종은 大韓神經精神醫學會 1990 신경정신의학 Vol.29 No.4
Since the reports on the effect of stimulants in controlling motor restlessness, inattention and distractibility, efforts have been made to elucidate the mechanism of action of the stimulants, and pathophysiology of the attention deficit hyperactivity disorder. This review has attempted to summarize biological findings on attention deficit hyperactivity disorder, from the fields of neuropharmacology and neuroanatomy. Most of the studies demonstrated that catecholamine function and its modulation are very probably involved at some level in the pathogenesis and treatment of this disorder. Reports on several neuroanatomical lesions also have implications for the catelcholamine hypothesis of the disorder. Further studies focusing on the response to stimulants and physiological studies using brain imaging technology will provide more comprehensive model of the pathophysiology of the attention deficit hyperactivity disorder.
수질자료의 이상치 탐색을 위한 Isolation Forest기법의 적용
김종은,박노석,윤상진,채선하,윤석민 대한환경공학회 2018 대한환경공학회지 Vol.40 No.12
Although multivariate outlier detection techniques have been actively studied in various fields, domestic studies on the water quality management of waterworks are relatively inadequate and have been performed in a small range. In this study, water quality dataset were collected from G_water treatment plants in South Korea and classified by the statistical correlation. For the groups with significant correlations, we compared and analyzed the outlier detection performance by applying distance and isolation forest techniques. For the group with insignificant correlation, we analyzed the outlier detection performance according to the change of machine learning instance after applying Isolation Forest method. As a result, the distance-based and Isolation Forest methods were able to effectively search global and local outliers in the water quality dataset. Furthermore Isolation Forest method is analyzed to search outliers in a wider range than the distance-based method. In the Isolation Forest method, the change of the outlie search performance according to the change of the machine learning amount is small. 다변량 기반의 이상치 탐지기법은 다양한 분야에서 활발히 연구되어 왔으나 상수도 수질관리 분야에 대한 국내 연구는 상대적으로 미흡하며, 작은 범위에서 수행되어왔다. 이에 본 연구에서는 국내 G_정수장을 대상으로 다항목의 수질자료를수집하고 통계적 상관관계 유무에 따라 집단을 분류하였다. 그리고 상관관계가 유의미한 집단에 대해서는 거리기반 및Isolation Forest 기법을 적용하여 기법별 이상치 탐색 성능을 상호 비교·분석하였으며, 상관관계가 유의미하지 못한 집단에대해서는 Isolation Forest 기법만을 적용한 후 기계학습의 변화에 따른 이상치 탐색 성능을 분석하였다. 그 결과 Isolation Forest 기법이 거리기반 기법에 비해 보다 넓은 범위에서 이상치들을 탐색하는 것으로 분석되었으며, 기계학습량의 변화에따른 이상치 탐색 성능의 변화는 미소한 것으로 나타났다.