흰쥐에서 배측 봉선핵의 전기자극이 췌장의 외분비기능에 미치는 영향

서상원,박형진,Suh, Sang-Won,Park, Hyoung-Jin 대한생리학회 1990 대한생리학회지 Vol.24 No.2

The present investigation was performed to see a possible influence of the dorsal raphe nucleus (DRN) on pancreatic exocrine secretion in anesthetized rats since the DRN had been known to exert a regulatory mechanism on sympathetic activity which was known to be very important for pancreatic exocrine secretion, particularly in rats. Twenty-nine Sprague-Dawley rats fasted for 24 hours were anesthetized by i.p. injection of 1 g/kg of urethane. The pancreatic duct was cannulated to collect pancreatic juice while bile juice was diverted into the jejunum. The duodenopyloric junction was tightly ligated. After surgery for collection of pancreatic exocrine secretion and recording of carotid blood pressure, a coaxial electrode was stereotaxically inserted in the DRN with a guide of a brain atlas. And then, electrical stimulus of biphasic square wave with 2 v, 2 msec, 40 Hz was applied on the electrode for 10 minutes. Pancreatic volume flow and protein output secreted in 10 min were measured. Either bilateral cervical vagotomy or spinal cord transection at the level of $C4{\sim}C5$ was performed 20 min prior to stimulation of the DRN. 1) Electrical stimulation of the DRN resulted in significant (p<0.05) increase in pancreatic volume flow and protein output. These stimulatory effects were not affected by cervical vagotomy but completely abolished by cervical cord transection. 2) Electrical stimulation of the DRN also resulted in significant (p<0.05) rise of blood pressure of the carotid artery. The hypertensive effect was not affected by cervical vagotomy but completely abolished by cervical cord transection. The results strongly suggest that the DRN, a part of the central serotonergic system, could exert a stimulatory influence on pancreatic exocrine secretion by increasing the sympathetic activity in anesthetized rats.

CNN 알고리즘을 이용한 체커스위치 불량 검출 시스템 개발

서상원(Sang-Won Suh),고요한(Yo-Han Ko),유성구(Sung-Goo Yoo),정길도(Kil-To Chong) 한국기계가공학회 2019 한국기계가공학회지 Vol.18 No.12

Various automation studies have been conducted to detect defective products based on product images. In the case of machine vision-based studies, size and color error are detected through a preprocessing process. A situation may arise in which the main features are removed during the preprocessing process, thereby decreasing the accuracy. In addition, complex systems are required to detect various kinds of defects. In this study, we designed and developed a system to detect errors by analyzing various conditions of defective products. We designed the deep learning algorithm to detect the defective features from the product images during the automation process using a convolution neural network (CNN) and verified the performance by applying the algorithm to the checker-switch failure detection system. It was confirmed that all seven error characteristics were detected accurately, and it is expected that it will show excellent performance when applied to automation systems for error detection.

음향 장면 분류에서 히트맵 청취 분석

서상원(Sangwon Suh),박수영(Sooyoung Park),정영호(Youngho Jeong),이태진(Taejin Lee) 한국방송·미디어공학회 2020 한국방송미디어공학회 학술발표대회 논문집 Vol.2020 No.7

인공신경망의 예측 결과에 대한 원인을 분석하는 것은 모델을 신뢰하기 위해 필요한 작업이다. 이에 컴퓨터 비전 분야에서는 돌출맵 또는 히트맵의 형태로 모델이 어떤 내용을 근거로 예측했는지 시각화 하는 모델 해석 방법들이 제안되었다. 하지만 오디오 분야에서는 스펙트로그램 상의 시각적 해석이 직관적이지 않으며, 실제 어떤 소리를 근거로 판단했는지 이해하기 어렵다. 따라서 본 연구에서는 히트맵의 청취 분석 시스템을 제안하고, 이를 활용한 음향 장면 분류 모델의 히트맵 청취 분석 실험을 진행하여 인공신경망의 예측 결과에 대해 사람이 이해할 수 있는 설명을 제공할 수 있는지 확인한다.

조리종사원의 비언어적 커뮤니케이션이 서비스품질지각, 고객만족, 신뢰, 고객충성도에 미치는 영향

서상원(Sang-Won Suh),류을순(Eul-Soon Ryu) 한국관광연구학회 2016 관광연구저널 Vol.30 No.2

This study was conducted in order to promote qualitative and consistent growth of open kitchen restaurant of luxury hotel. Although the verbal components of service encounters had been investigated, the nonverbal aspects of employee-customer interactions have remained virtually unexplored in the foodservice marketing literature. The purpose of this study was to understand interrelationship among culinary staff’s non-verbal communication, service quality preception, customer satisfaction, trust and loyalty in open kitchen of luxury hotel. A total of 226 customers were participated in this study from June to July in 2015. The data were analyzed by SPSS 22.0 and AMOS 18.0 statistical analysis program. Factor analysis showed non-verbal communication could be understood in terms of 5 factors each. Results showed that kinesics, proxemics and cooking practice factor had significant effects on service quality preception. Also, service quality preception had significantly affected customer satisfaction and trust. Finally, service quality preception and customer satisfaction had not significantly affected loyalty while trust affected loyalty. These findings offer practical guidelines for effective staff’s education and marketing management in open kitchen restaurant operations. Further, the importance of nonverbal elements is discussed and managerial implications are given. Also limitations are also discussed.

비선형 특징추출 기법에 의한 머리전달함수 ( HRTE ) 의 저차원 모델링 및 합성

서상원(Sang Won Suh),김기홍(Ki Hong Kim),김현석(Ki Hong Kim),김현빈(Hyun Suk Kim),이의택(Ee Taek Lee) 한국정보처리학회 2000 정보처리학회논문지 Vol.7 No.5

For the implementation of 3D Sound Localization system, the binaural filtering by HRTFs is generally employed. But the HRTF filter is of high order and its coefficients for all directions have to be stored, which imposes a rather large memory requirement. To cope with this, research works have centered on obtaining low dimensional HRTF representations without significant loss of information and synthesizing the original HRTF efficiently, by means of feature extraction methods for multivariate data including PCA. In these researches, conventional linear PCA was applied to the frequency domain HRTF data and using relatively small number of principal components the original HRTFs could be synthesized in approximation. In this paper we applied neural network based nonlinear PCA model (NLPCA) and the nonlinear PLS regression model (NLPLS) for this low dimensional HRTF modeling and analyze the results in comparison with the PCA. The NLPCA that performs projection of data onto the nonlinear surfaces showed the capability of more efficient HRTF feature extraction than linear PCA and the NLPLS regression model that incorporates the directional information in feature extraction yielded more stable results in synthesizing general HRTFs not included in the model training.

유전 및 육종 : MS 마커를 이용한 토종닭 브랜드의 유전적 특성 및 개체 식별력 분석

서상원 ( Sangwon Suh ),조창연 ( Chang Yeon Cho ),김재환 ( Jae Hwan Kim ),최성복 ( Seong Bok Choi ),김영신 ( Young Sin Kim ),김현 ( Hyun Kim ),성환후 ( Hwan Hoo Seong ),임현태 ( Hyun Tae Lim ),조재현 ( Jae Hyeon Cho ),고응규 ( Yeo 한국축산학회 2013 한국축산학회지 Vol.55 No.3

Microsatellite markers have been a useful genetic tool in determining diversity, relationships and individual discrimination studies of livestock. The level of genetic diversity, relationships among two Korean indigenous chicken brand populations (Woorimatdag: WR, Hanhyup3: HH) as well as two pure populations (White Leghorn: WL, Rhode Island Red: RIR) were analyzed, based on 26 MS markers. A total of 191 distinct alleles were observed across the four chicken populations and 47 (24.6%) of these alleles were unique to only one population. The mean HExp and PIC were estimated as 0.667 and 0.630. Nei`s DA genetic distance and factorial correspondence analysis (FCA) showed that the four populations represented four distinct groups. However, the genetic distance between each Korean indigenous chicken brand (WR, HH) and the pure population (WL, RIR) were threefold that among the WR and HH. For the STRUCTURE analyses, the most appropriate number of clusters for modeling the data was determined to be three. The expected probabilities of identity among genotypes of random individuals (PI) were calculated as 1.17×10-49 (ALL 26 markers) and 1.14×10-15, 7.33×10-20(9, 12 with the highest PI value, respectively). The results indicated that the brand chicken breed traceability system employing the own highest PI value 9 to 12 markers, and might be applicable to individual identification of Korean indigenous chicken brand.

연구발표 진행표 : A 발표장 : 정규화 기준값 산정에 관한연구

서상원(Sang Won Suh),이건모(Kun mo Lee),허영채(Young Chae Huh),하상선(Sang Sun Ha) 한국전과정평가학회 1999 한국전과정평가학회 정기총회 연구논문집 Vol.1999 No.0

N/A

Closed- form Physical Densities: An Extension to a Wider Class of Risk-Neutral Densities

서상원 ( Sang Won Suh ) 한국증권학회 2008 한국증권학회 발표논문집 Vol.2008 No.1

Neumann 더미헤드를 사용한 머리전달함수(HRTF)의 측정

서상원 ( Sang Won Suh ),김재우 ( Jae Woo Kim ),이명진 ( Myung Jin Lee ),김용완 ( Yong Wan Kim ) 한국감성과학회 1998 한국감성과학회 춘계학술대회 Vol.1998 No.-

시스템공학연구소 감성공학연구부에서는 수행중인 멀티미디어 컨텐트용 입체음향처리 S/W개발과제의 일환으로 머리전달함수(Head-Related Transfer Function, HRTF)의 측정을 수행하였다. 본 논문에서는 무향실에서의 HRTF 데이터 측정 과정 및 얻어진 HRTF들에 대한 음상정위청취 평가 결과에 대해 설명한다. 청취 평가에서는 피험자들이 측정된 HRTF와 MIT Media Lab의 KEMAR 더미헤드 HRTF를 사용하여 각 방향에 대해 필터링된 음원을 듣고 음상정위 주관평가를 시행하였는에, 측정된 HRTF를 사용하여 양호한 음상정위 결과를 얻을 수 있음을 확인하였다.있음을 확인하였다.

수익률곡선 정보를 활용한 기대수익률 추정 및 금리정책 효과 분석

서상원 ( Sang Won Suh ),최재훈 ( Jae Hun Choi ),박충원 ( Choong Won Park ) 한국금융연구원 2014 금융연구 Vol.28 No.1

We propose a method to extract information about market expectations of future yields using market yield curve. In addition, we empirically analyze the effects of market participants` expectations on the interest rate channel To this end we first set up a theoretical term-structure model and then estimate it with Korean market yield data. After verifying the validity of the model with empirical results, we then use it to assess the effects on market yields of the demand on domestic bonds from foreign investors which have showed wide fluctuations since 2007. Next, we propose a method to extract information about market expectations of future policy rate as well as market yields using market yield curve. We then investigate into the accuracy of those market expectation- based forecasts. In addition to this theoretical term-structure model approach, we also use regression-based approaches to estimate market expectations implied with market yield curve. Using these estimates of market expectations about monetary policy, we then decompose actual policy rate changes into the expected portions and the unexpected ones. This decomposition enables us to analyze the relative importance of the two components in the interest rate channel of This paper contributes to the literature by providing an analysis of monetary policy shock with respect to the interest rate channel of monetary policy which has not been extensively studied yet. In addition, growing effects of foreign investors on bond yields have been rarely studied, which is another contribution of this paper. This paper also provides empirical results for the forecasting ability of market expectations extracted from market yield curve. Our empirical results show that market expectations extracted from yield curve turn out to be useful for yield forecasting. Secondly, after decomposing changes in policy rates into unexpected changes and expected ones, we found that the unexpected changes in policy rate exert impacts no less than the expected changes in policy rate. Lastly, by conducting counter-factual exercises, we found that market yields have been significantly affected by foreign investors` demand on Korean bonds, which has been suspected from the fact that foreign investors` Korean bond holdings has greatly increased since 2007 and then fluctuated widely during the recent global financial crisis period.