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강수민,엄태성,김재요,Kang, Su-Min,Eom, Tae-Sung,Kim, Jae-Yo 한국전산구조공학회 2010 한국전산구조공학회논문집 Vol.23 No.3
초고층 건물에서 아웃리거를 이용한 횡력저항시스템이 자주 사용되고 있다. 아웃리거가 외부 기둥과 내부 코어를 연결함으로써 외부 기둥이 횡력저항시스템에 참여할 수 있어 구조적 저항능력이 향상될 수 있다. 그러나 아웃리거는 횡력 뿐만 아니라 중력하중의 조절에도 기여할 수 있다. 하중을 메가 기둥으로 전이시키거나 기둥, 벽체, 파일 등의 연직 부재들 간에 중력하중을 균등하게 분포시키며, 기초 시스템에서의 부등침하를 최소화하기 위하여 중력하중의 흐름이 아웃리거 부재에 의하여 변경될 수 있다. 본 연구에서는 100층 이상의 초고층 사례들에 대한 전산구조해석을 통하여 중력하중 조절에 대한 아웃리거의 효과를 분석한다. 아웃리거 유무에 따른 3차원 모델의 구조해석이 수행되며, 기둥과 파일에서의 중력하중 분포 및 기초 침하가 분석된다. 또한, 완공 단계 뿐만 아니라 시공 단계에서의 중력하중 조절에 대한 아웃리거의 효과도 분석된다. In high-rise buildings, an outrigger system is frequently used as a resisting system for lateral loads. Since the outriggers tie exterior columns and an interior core, exterior columns can participate in the lateral load resisting system and the structural resistance capacity can be increased. However, the outriggers contribute for controlling gravity loads as well as lateral loads. The flows of gravity loads can be changed by the members of outriggers, for the purposes of transferring loads to mega-columns, distributing gravity loads equally among vertical members of columns, walls, or piles, minimizing differential settlements in a foundation system, and so on. In this study, by computational structural analyses of high-rise buildings over 100 floors, the effects of outriggers on controlling gravity loads are analyzed. Analyses for 3-dimensional models with or without outrigger members are performed, and then the gravity load distributions in columns and piles and foundation settlements are analyzed. Also, the effects of outriggers on gravity load controls during construction stages as well as after construction are included.
강수민,지양현,이준화,Kang, Su Min,Chi, Yang Hyun,Lee, Jun Hwa The Korean Society of Inherited Metabolic Disease 2015 대한유전성대사질환학회지 Vol.15 No.3
시트룰린혈증 2형은 SLC25A13 유전자 변이에 의한 시트린 결핍증으로 생기는 상염색체 열성 유전질환으로 고암모니아혈증, 시트룰린혈증, 저혈당증, 갈락토즈혈증 등의 생화학적 이상소견이 동반 되는 질환이다. 임상적으로 영아형인 '시트린 결핍증에 의한 신생아 간내 담즙정체(NICCD)', 소아형인 '시트린 결핍에 의한 성장 부진과 이상지방혈증(FTTDCD)', 성인형인 '성인기 발병 시트룰린혈증 2형(CTLN2)'의 세 가지 형태로 나타난다. 그 중 NICCD는 영아기 발생 간내 담즙 정체, 간 기능 장애, 저단백혈증, 저혈당증, 성장부진, 지방간 등의 증상이 나타나고 임상증상, 생화학적 검사이상을 통해 질환을 의심한 후 SLC25A13 유전자 분석 검사를 통해 확진 할 수 있다. 저자들은 생후 35일에 시트룰린혈증으로 방문한 영아에서 NICCD와 부합되는 생화학적 검사 소견과 SLC25A13 유전자 염기서열 분석 검사상 c.[1817G>A]과 [?] (p.[W606*];[?])이형접합변이로 NICCD를 진단하였기에 보고하는 바이다. Citrin deficiency (OMIN #605814) is an autosomal recessive disorder caused by the SLC25A13 gene mutation with abnormal biochemical findings, including increased serum ammonia, citrulline, arginine, galactose, serum threonine-to-serine ratio, serum pancreatic secretory trypsin inhibitor, and alpha-fetoprotein. Citrin deficiency can manifest in three ways: in newborns as neonatal intrahepatic cholestasis caused by citrin deficiency (NICCD), in older children as failure to thrive and dyslipidemia caused by citrin deficiency (FTTDCD), and in adults as citrullinemia type 2 (CTLN2) with recurrent hyperammonemia and neuropsychiatric symptoms. We report a 35-day-old asymptomatic patient with citrin deficiency who had abnormal biochemical findings.
강수민,박세혁,허경무,Kang, Su-Min,Park, Se-Hyuk,Huh, Kyung-Moo Institute of Control 2014 제어·로봇·시스템학회 논문지 Vol.20 No.10
Machine vision inspection systems have replaced human inspectors in defect inspection fields for several decades. However, the inspection results of machine vision are often affected by small changes of illumination. When small changes of illumination appear in image histograms, the influence of illumination can be decreased by transformation of the histogram. In this paper, we propose an enhanced histogram matching algorithm which corrects distorted histograms by variations of illumination. We use the resolution resizing method for an optimal matching of input and reference histograms and reduction of quantization errors from the digitizing process. The proposed algorithm aims not only for improvement of the accuracy of defect detection, but also robustness against variations of illumination in machine vision inspection. The experimental results show that the proposed method maintains uniform inspection error rates under dramatic illumination changes whereas the conventional inspection method reveals inconsistent inspection results in the same illumination conditions.
눈 영상의 히스토그램을 이용한 운전자의 졸음 상태 체크 시스템 개발
강수민(Su Min Kang),허경무(Kyung Moo Huh),양연모(Yeon Mo Yang) 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.21 No.4
Approximately 23% of traffic accidents appear to be caused by drowsiness while driving. This fact shows that drowsy driving is a big factor in many traffic accidents. Therefore, the development of a drowsiness checking system is necessary to prevent drowsy driving. In this paper, we analyse the changes of the histogram of eye region images which are acquired using a CCD camera. We develop a drowsiness checking system using this histogram change information. The experimental results show that our proposed method enhances the accuracy of checking drowsiness by nearly 98%, and can be used to prevent vehicle accidents due to the drowsiness of a driver.
눈의 히스토그램과 에지를 이용한 졸린 상태 감시 시스템 개발
강수민(Su Min Kang),허경무(Kyung Moo Huh),주영복(Young-Bok Joo) 제어로봇시스템학회 2016 제어·로봇·시스템학회 논문지 Vol.22 No.5
In this paper, we propose a technique for drowsiness detection using the histogram and edge information of eyes. The drowsiness of vehicle drivers is the main cause of many vehicle accidents. Therefore, the checking of eye images in order to detect the drowsiness status of a driver is very important for preventing accidents. In our suggested method, we analyze the changes of the histograms and edges of eye region images, which are acquired using a CCD camera. The experimental results show that our proposed method enhances the accuracy of detecting drowsiness to nearly 99%, and can be used for preventing vehicle accidents caused by the driver’s drowsiness.
Su-Min Kang(강수민),Se-Hyuk Park(박세혁),Kyung-Moo Huh(허경무) 제어로봇시스템학회 2014 제어·로봇·시스템학회 논문지 Vol.20 No.10
Machine vision inspection systems have replaced human inspectors in defect inspection fields for several decades. However, the inspection results of machine vision are often affected by small changes of illumination. When small changes of illumination appear in image histograms, the influence of illumination can be decreased by transformation of the histogram. In this paper, we propose an enhanced histogram matching algorithm which corrects distorted histograms by variations of illumination. We use the resolution resizing method for an optimal matching of input and reference histograms and reduction of quantization errors from the digitizing process. The proposed algorithm aims not only for improvement of the accuracy of defect detection, but also robustness against variations of illumination in machine vision inspection. The experimental results show that the proposed method maintains uniform inspection error rates under dramatic illumination changes whereas the conventional inspection method reveals inconsistent inspection results in the same illumination conditions.