http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이정혜,안견,정의상,정태영,Jung-Hye Lee,MD,Kyeon Ahn,MD,Eui-Sang Chung,MD,PhD,Tae-Young Chung,MD,PhD 대한안과학회 2010 대한안과학회지 Vol.51 No.9
Purpose: To determine predictable factors of postoperative pain and cut-off values following LASEK eye surgery. Methods: Thirty-three eyes of 17 patients who underwent LASEK from May to December 2008 were reviewed. For evaluation of predictive factors, patients’ anxiety level was converted to APAIS, HADS, STAI, and VAS preoperatively. Substance P and prostaglandin E2 levels in tears, blood pressure, heart rate, and history of any previous surgery were determined before the procedure. Thirty minutes and 1 day after LASEK, the subjective degree of pain was scored. Results: Patients with high Amsterdam preoperative anxiety scale (APAIS) and Visual analogue scale (VAS) scores showed more postoperative pain (p=0.04, p<0.001). Higher substance P and prostaglandin E2 levels were significantly related with more severe pain after LASEK (p<0.001, p<0.001). Postoperative pain increased significantly, according to cut-off values (p<0.05), APAIS and VAS scores greater than 6, substance P greater than 631.84 pg/ml, and prostaglandin E2 greater than 783.90 pg/ml. Conclusions: The level of pain after LASEK surgery varies individually, and many factors, including physical and psychological variances, can affect the pain. With higher APAIS/VAS scores and higher concentrations of substance P, prostaglandin E2 portends more severe pain following LASEK. J Korean Ophthalmol Soc 2010;51(9):1203-1209
급냉각기간에서 멤브레인형 LNGC의 분무냉각 열해석에 관한 연구
이정혜,김경근,노승탁,정한식,김성규,Lee, Jung-Hye,Kim, Kyung-Kue,Ro, Sung-Tack,Chung, Han-Shik,Kim, Seong-Gyu 대한기계학회 2003 大韓機械學會論文集B Vol.27 No.1
The present paper is concerned to the thermal analysis during the cool-down period of 138,000 m$^3$class GTT MARK-III membrane type LNG carrier servicing with LNG from the Middle East to Korea. It is the cool-down period that cools the insulation wall and the gas in LNG tank to avoid the thermal shock as the start of loading of -162$^{\circ}C$ LNG. For six hours of the standard cool-down period, the temperature of NG falls down from -4$0^{\circ}C$ to -13$0^{\circ}C$ and especially the mean temperature of the 1st barrier in the top side insulation wall falls down from -38.38$^{\circ}C$ to -122.42$^{\circ}C$ in case of IMO design condition. By the 3-D numerical calculation about the cargo tank and the cofferdam, the temperature variation in hulls and insulations is precisely predicted in this paper. And the mean temperature variation of gas is calculated as the function of the spraying rate by the heat balance model during the cool-down period.
급냉각기간에서 IMO설계조건과 USCG 설계조건에 대한 LMGC 화물탱크의 열해석 비교
이정혜,Lee, Jung-Hye 대한기계학회 2004 大韓機械學會論文集B Vol.28 No.11
This study is concerned with the thermal analysis during the cool-down period of 135,000㎥ class GT-96 membrane type LNG carrier under IMO and USCG design condition. During the cool-down period, the spraying rate for the NG cooling decreases as the temperature of NG falls down from -4$0^{\circ}C$ to -l3$0^{\circ}C$, and the spraying rate for the cooling of the insulation wall increases as the temperature gradient of the insulation wall is large. It was confirmed that there existed the largest temperature decrease at the first barrier and the first insulation, which are among the insulation wall, especially in the top side of the insulation wall under IMO and USCG design condition. Also, as the NG temperature distribution is fixed, the outer temperature condition under the design condition has influence on the temperature variation at the insulation. By the 3-D numerical calculation about the cargo tank and the cofferdam during the cool-down period, the temperature variation in hulls and insulations is precisely predicted under IMO and USCG design condition. From the comparison between two conditions; IMO design condition shows more severe temperature gradient than USCG design condition, therefore, it provides the conservative estimation of the BOG.
근린재생형 활성화계획 변경양상 분석을 통한 지방중소도시의 통합적 도시재생사업에 관한 연구
이정혜(Lee, Jung-Hye),김현숙(Kim, Hyun-Suk) 대한국토·도시계획학회 2018 國土計劃 Vol.53 No.2
This study is intended to draw some tasks after comprehending the problems to many urban regeneration projects during the implementation procedures in our country and to seek for some alternative schemes from the perspective of the comprehensive urban regeneration projects. This study was implemented through an analysis of the change patterns in the regeneration plans, approved plans and changed plans of 6 local small cities as the urban regeneration lead areas. In order to be integrated approach, there are suggested the following kinds of improvement proposals at a higher level. First, Create base facilities by using public unused spaces and by driving regeneration projects for private old houses and empty stores at the same time. Second, Enhance the business feasibility of a facility project by complicating the functions and by making many experts participate in the project. Third, Invest from a long-term perspective for establishing some administration specialty organizations and an urban regeneration support center. Fourth, Drive a competency strengthening project focusing on some professional education for each area and to induce many external manpower to participate compositively for strengthening the professionalism of each resident organization. Fifth, Improving the system at a higher level in order for a regeneration project to be able to be adjusted as a cooperative project.
Markov Blanket Feature Selection for Classification
Jung-Hye Lee(이정혜),Chi-Hyuck Jun(전치혁) 대한산업공학회 2013 대한산업공학회 추계학술대회논문집 Vol.2013 No.11
When the dimensionality is very large, exponential growth in the amount of the data is required for a classification task. Thus, reducing the dimensionality of the data is essential, and it can often bring the better performance. As one of dimension reduction techniques, Markov blanket can be considered as a filter method which is the minimal variable set to explain the target variable. We apply Markov blanket feature selection for categorical data, and then compare it with other feature selection methods using well-known classifiers. We successfully show the out performance of Markov blanket feature selection method. In addition, by implementing several Markov blanket induction algorithms also, we point out the performance of each Markov blanket algorithm depending on data.