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이원석,임병용,홍기환,Lee Won-Suk,Rhim Byung-Yong,Hong Ki-Whan The Korean Society of Pharmacology 1986 대한약리학잡지 Vol.22 No.1
후신경구절제(OB) 흰쥐에 있어서 muricide의 발생은 중추성 ${\alpha}$-adrenoceptors의 기능항진과 밀접한 관계가 있다는 가설하에 다음 실험을 행하였다. Muricide를 일으키는 OB 흰쥐의 전뇌내 noradrenaline(NA)의 전환율은 대조군에 비하여 현저히 낮았으나 $_{{\alpha}_2}$-adrenoceptor 길항약물인 yohimbine이나 idazoxan 투여시 NA 전환은 muricide의 억제와 함께 현저히 증가되었다. OB흰쥐의 전뇌 피질막의 $[^3H]$ yohimbine에 대한 최대결합능(Bmax)은 대조군에 비하여 현저히 높았다. ${\alpha}$-Adrenoceptor 효능약물 및 길항약물에 대한 친화도는 아무런 변동이 없었다. 이상의 결과로 보아 OB흰쥐에서 야기되는 muricide는 중추성 ${{\alpha}_2}$-adrenoceptor의 기능 항진과 밀접한 관련이 있다고 사료되는 바이다. The involvement of central $_{{\alpha}2}$-adrenoceptors in the development of muricide (mouse-killing behavior) in the olfactoly bulbectomized (OB) rats was strudied. The fractional turnover rate of noradrenaline (NA) in forebrain from OB muricidal rats was significantly lowered than that from sham rats. However, after yohimbine or idazoxan treatment, NA turnover was significantly increased in concert with inhibition of the development of muricide in OB rats. By radioligand binding studies with $[^3H]$ yohimbine, the maximum binding $(B_{max})$ of $[^3H]$ yohimbine to cerebral cortical membrane from OB rats was significantly higher than that from sham rats without change of affinity for agonists and antagonists$(K_i)$. With these results it was suggested that muricidal behavior of OB rats has a close relevance to the hyperactivity of central $_{{\alpha}2}$-adrenoceptor system.
이원석,우정동,노용래,Lee, Wonseok,Woo, Jeongdong,Roh, Yongrae 한국음향학회 2013 韓國音響學會誌 Vol.32 No.5
In this paper, a $48{\times}64$ channel 2D array ultrasonic transducer with piezoelectric single crystals was designed, fabricated, and evaluated. Structure of the transducer was chosen to facilitate the electric connection on the planar array, and then components were fabricated in accordance with the structure. Detailed structure of the transducer was designed through finite element analyses. In order to improve the performance of the transducer, the crosstalk between adjacent elements was reduced through the control of kerf width and material, and the target frequency bandwidth was achieved through optimal design of the thickness of the single crystal and matching layers. After fabricating a prototype of the transducer according to the design and measuring its characteristics, the results were compared with those of finite element analyses to evaluate the performance of the developed transducer. 본 논문에서는 $48{\times}64$ 채널로 이루어진 압전단결정 2D 배열형 초음파 트랜스듀서의 설계, 제작 및 평가를 하였다. 전기적 연결이 용이한 평면배열 구조를 선정한 후, 그에 맞게 구성소자를 제작하였다. 유한요소 해석을 통하여 트랜스듀서의 세부 구조를 설계하였다. 트랜스듀서의 성능을 향상시키기 위해 치폭의 너비와 재료를 조절하여 소자간 상호간섭을 저감하고, 압전단결정 및 정합층의 최적 두께를 설계하여 목표 주파수 대역폭을 구현하였다. 설계에 따라 트랜스듀서의 시작품을 제작하고 그 특성을 측정한 후, 측정된 결과를 유한요소 해석 결과와 비교하여 개발된 트랜스듀서의 성능을 평가하였다.
무인이동체 및 지상국 컴퓨터 간의 시간 정보 동기화를 위한 시스템 연구
이원석,이운상,송형규,Lee, Won-Seok,Lee, Woon-Sang,Song, Hyoung-Kyu 한국반도체디스플레이기술학회 2020 반도체디스플레이기술학회지 Vol.19 No.1
In this paper, system that includes multiple unmanned aerial vehicles (UAVs) are considered. The vehicles are equipped with a mission computer for a specific mission and equipment. The mission equipment operates based on the time of mission computer. Also, data collected by flight computer and mission computer is saved with the time of each operating system. Generally, time offset between multiple computers always exists, though the computers are connected to the Internet. When the data collected by multiple computers is combined, the time offset causes damage on reliability of the combined data. Computers that connected to the Internet are synchronized by network time protocol (NTP). This paper proposes a system that the time of multiple mission computers are synchronized by the same NTP server to minimize the time offset. In the results of the measurement, the system time offset of multiple mission computer is maintained within 10ms from the system time of the server computer.
수평사시 환아에서 수평직근후전술의 수술 결과에 대한 근시 및 안축장 길이의 영향
이원석,이종복,한승한,Won-Seok Lee,Jong-Bok Lee,Seung-Han Han 대한안과학회 2011 대한안과학회지 Vol.52 No.4
Purpose: To assess the influence of axial length for surgical outcome of horizontal recti recession in children with horizontal strabismus. Methods: A retrospective, non-comparative case series. 100 patients, 96 males and 44 females with unilateral or bilateral high myopia and strabismus surgery was performed. All patients had horizontal recti recession and no combined vertical strabismus. There was no history of any ocular trauma or surgery and no history of any other systemic diseases that affect ocular motility. After horizontal recti recession, the patients were followed-up for more than one year. Data was analyzed using SPSS Software for Windows, version 12.0.1. Results: In 100 children, the mean axial length was 23.21 ± 1.38 mm (range, 19.63-26.50 mm) and the mean age was 7.43 ± 2.86 years (range, 1-14 years). Lateral rectus recession was in 89 cases, and medial rectus recession was done in 11 cases. After operation, 86 cases were fully corrected, 11 cases were under corrected and 3 cases were over corrected. Binary logistic regression analysis was performed revealing that, preoperative angle of deviation (p-value 0.062) and axial length (p-value 0.05) were highly correlated with surgical outcome. Conclusions: Age, preoperative angle of deviation, and axial length may influence the surgical outcome of horizontal recti recession in children. In eyes with long axial length, the surgical outcome of horizontal recti recession appears to be poorer than that in eyes with short axial lengths. Adjusting the recession amounts when performing horizontal recti recessions in long axial length eyes may provide better results. J Korean Ophthalmol Soc 2011;52(4):472-476
딥러닝 기술을 활용한 차별 및 혐오 표현 탐지 : 어텐션 기반 다중 채널 CNN 모델링
이원석,이현상,Lee, Wonseok,Lee, Hyunsang 한국정보통신학회 2020 한국정보통신학회논문지 Vol.24 No.12
포털 사이트의 인터넷 뉴스 댓글, SNS, 커뮤니티 사이트 등의 온라인상에서 명예 훼손 사건이 최근 점점 증가하고 있다. 온라인상의 차별 및 혐오 표현은 명예 훼손 문제뿐만 아니라 사생활 침해, 인신 공격 등 다양한 형태로 온라인 서비스 이용자들을 위협하고 있다. 지난 몇 년간 산업계와 학계는 이러한 문제를 해결하고자 다양한 방법으로 연구해왔다. 하지만 한국어 대상으로 수행된 딥러닝 기반 혐오 표현 탐지 연구는 아직까지 부족한 상황이다. 본 연구의 목적은 혐오 표현뿐만 아니라 다양한 차별적 표현에 대한 탐지를 위해 데이터셋을 구축하고 이를 분류하기 위한 딥러닝 모델링을 실험하는 것이다. 데이터셋 구축은 10명의 인원이 교차적으로 검토를 하면서 7개 항목에 대한 라벨링 기준을 확립했다. 본 연구는 약 137,111개에 해당하는 한국어 인터넷 뉴스 댓글 데이터셋에 대해 7개의 항목을 각각 이진 분류하고, 이를 딥러닝 기법을 통해 분석한다. 본 연구에서 제안하는 기법은 어텐션 기반 다중 채널 CNN 모델링 기법이다. 실험 결과 7개 항목에 대해 가중 평균 f1 점수를 평가했을 때, 70.32%의 성능을 달성했다. Online defamation incidents such as Internet news comments on portal sites, SNS, and community sites are increasing in recent years. Bias and hate expressions threaten online service users in various forms, such as invasion of privacy and personal attacks, and defamation issues. In the past few years, academia and industry have been approaching in various ways to solve this problem The purpose of this study is to build a dataset and experiment with deep learning classification modeling for detecting various bias expressions as well as hate expressions. The dataset was annotated 7 labels that 10 personnel cross-checked. In this study, each of the 7 classes in a dataset of about 137,111 Korean internet news comments is binary classified and analyzed through deep learning techniques. The Proposed technique used in this study is multi-channel CNN model with attention. As a result of the experiment, the weighted average f1 score was 70.32% of performance.