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성장과 운동수행능력 향상에 도움을 주는 식이조성물의 개발
윤승원,정은희,양동식,이홍석,윤유식 대한지역사회영양학회 2003 대한지역사회영양학회지 Vol.8 No.3
We developed a dietary supplement using natural herbs and nutrients for the growth and exercise performance improvement. It called JR-22 supplement containing distilled extracts of natural herbs to remove bitterness and the addition of Vitamin B1, B6, Ca and xylitol. We investigated on the effect of JR-22 supplementation on the maximal exercise performance, IGF-1 (insulin like growth factor-1) concentration and antioxidant activity in SD rat model. In result, JR-22 supplement group was better than control group about 10% in exercise performance test and increased about 63% of IGF-1 concentration in blood. In addition, the oxidative damage induced by exercise was reduced by JR- 22 supplementation. Therefore, we suggested that JR-22 supplementation enhanced effectively exercise performance and IGF-1 concentration and reduced to oxidative stress in muscles. Also, we analysed biochemical factors in blood for the safety of JR-22 supplement. We known that there is no change of blood lactic acid, ammonia, inorganic phosphorous ion and creatine kinase activity.
스포츠 참가자의 라이프스타일 특성과 서비스 만족의 관계
윤승원,정경회,이일재,박영표 한국스포츠리서치 2003 한국 스포츠 리서치 Vol.14 No.1
The analysis of the customers' mind is crucial in the modern society where marketing strategy is very important for the satisfaction of the customers. the purpose of this study was investigating the relationship between lifestyle characteristics and service satisfaction of sports center customer. To achieve this purpose, the population of this study are the participants of the swimming pool, bowling center, fitness club and golf club among the commercial sports center in Jeonju, Jeollabugdo. They are chosen by the multi-stage stratified random sampling considering the events and region. The valid samples are 420 persons at last among 500 persons except the 80 persons whose validity are determined low. To analyze the data, frequency analysis, factor analysis, t-test, ANOVA, regression analysis and covariance structural analysis are used in this study. In this study, those following results are gathered by analysing the data through above approaches. First, According to the background variation of the sports participator; material service to income, personal service to educational level and occupation, systematic service to sex and educational level, there are significant service satisfactions. Second, Lifestyle characteristics of the sports participator influence on service satisfactions significantly; persuit of the trend, social contact, nervousness and individualism influence on personal service social contact, persuit of the trend, nervousness and sentimentalism on systematic service and the other variations on material service.
윤승원,이원희,이규철 한국컴퓨터정보학회 2022 韓國컴퓨터情報學會論文誌 Vol.27 No.8
In this paper, we propose a system to predict the GPS trajectory of a pedestrian based on a deep learning model. Pedestrian trajectory prediction is a study that can prevent pedestrian danger and collision situations through notifications, and has an impact on business such as various marketing. In addition, it can be used not only for pedestrians but also for path prediction of unmanned transportation, which is receiving a lot of spotlight. Among various trajectory prediction methods, this paper is a study of trajectory prediction using GPS data. It is a deep learning model-based study that predicts the next route by learning the GPS trajectory of pedestrians, which is time series data. In this paper, we presented a data set construction method that allows the deep learning model to learn the GPS route of pedestrians, and proposes a trajectory prediction deep learning model that does not have large restrictions on the prediction range. The parameters suitable for the trajectory prediction deep learning model of this study are presented, and the model’s test performance are presented. 본 논문에서는 딥러닝 모델 기반 보행자의 GPS 경로를 예측하는 시스템을 제안한다. 보행자 경로 예측은 보행자의 위험 및 충돌 상황들을 알림을 통해 방지할 수 있으며, 다양한 마케팅 등 비즈니스 면에서도 영향을 끼치는 연구이다. 또한 보행자 뿐 아니라 많은 각광을 받고 있는 무인이동수단의 경로 예측에도 활용될 수 있다. 다양한 경로 예측 방식들 중 본 논문은 GPS 데이터를활용하여 경로를 예측하는 연구이다. 시계열 데이터인 보행자의 GPS 경로를 학습하여 다음 경로를 예측하도록 하는 딥러닝 모델 기반 연구이다. 본 논문에서는 보행자의 GPS 경로를 딥러닝 모델이 학습할 수 있도록하는 데이터 셋 구성 방식을 제시하였으며, 예측 범위에 큰 제약이 없는경로 예측 딥러닝 모델을 제안한다. 본 연구의 경로 예측 딥러닝 모델에 적합한 파라메터들을 제시하였으며, 우수한 예측 성능을 보이는 결과를 제시한다.
윤승원(Seungwon Youn),한만철(Man-Cheol Han) 한국자동차공학회 1997 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1997 No.11_2
Brake judder caused by disc runout and disc thickness variation was investigated. Experimental data shows that disc runout and disc thickness variation are influential source of so called cold judder. Judder amplitude is proportional to vehicle speed and brake pedal operation speed. Judder frequency is directly related to rotational speed of brake disc and the number of poles of periodic distribution of disc runout and disc thickness variation, but there is no relationship between judder frequency and natural frequency of brake disc.
마이크로RNA와 유전자 연관성 예측 딥러닝 모델 개발 연구
윤승원(Seung-Won Yoon),황인우(In-Woo Hwang),김재인(Jae-In Kim),이규철(Kyu-Chul Lee) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
마이크로RNA는 인체에서 유전자가 단백질로 발현되는 정도를 조절하는 중요한 역할을 하는 RNA이다. 마이크로 RNA와 관련 있는 유전자를 찾는 연구는 복잡한 마이크로RNA의 메커니즘을 파악하는데 큰 도움이 된다. 본 연구는 마이크로 RNA와 유전자의 연관성을 예측하는 딥러닝 모델을 개발하는 연구이다. 논문에서는 최적의 파라메터 및 딥러닝 성능을 제시하며 해당 모델을 활용하여 다양한 실험을 진행하였다. 높은 성능을 보이는 학습된 모델을 통하여 모델이 처음 접하는 마이크로RNA-유전자 쌍의 연관성 정도를 스코어로 제시하며, 췌장암과 관련있는 유전자와 연관성 높은 마이크로RNA를 순위로 제시한다.