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젊은 남성에서 부하 적용이 어깨 벌림 동안 봉우리밑 공간 간격에 미치는 영향
박강희 ( Park Kanghui ),박한규 ( Park Hankyu ),박수경 ( Park Sookyoung ) 대한통합의학회 2020 대한통합의학회지 Vol.8 No.1
Purpose : This study was performed to comparison of distance change of subacromial space according to shoulder abduction angle in loaded and unloaded conditions. Methods : The subjects were 20 male college students, and the subacromial space was measured using an ultrasound diagnostic apparatus. The participants shoulder abduction was measured during each shoulder resting position and 45 ° abduction with loads of 1 ㎏, 2 ㎏, 3 ㎏. The collected data were analyzed by a paired t-test and repeated measure ANOVA with the SPSS (Ver. 22) program. Results : The subacromial space showed statistically significant decreased in 45 ° abduction than resting position (p<.001). All the subacromial space increased during the according to loads (1 ㎏, 2 ㎏, 3 ㎏) at the resting position but at 45 ° abduction showed statistically significant decreased as the load increases (p<.05). Also, subacromial space showed significant changes in the 2㎏, 3㎏ compared with the 0㎏ loads. Conclusion : These results identified that shoulder abduction angle and load were related to subacromial space. When resting position, subacromial space is larger at loads than unload. As the load and shoulder abduction angle increase, subacromial space is reduced compared to resting.
Effect of Kegel Exercise on Vital Capacity According to the Position: A Preliminary Study
( Kanghui Park ),( Hankyu Park ) 대한물리치료학회 2020 대한물리치료학회지 Vol.32 No.4
Purpose: This study examined the immediate effect of Kegel exercise on the vital capacity according to the position. Methods: Seventeen subjects participated in the study (male=7, female=10). The subjects performed Kegel exercise in two positions: sitting and hooklying. The order of exercise was conducted in a random order selected by the subjects to exclude the learning effect. The maximum voluntary ventilation (MVV) was measured using a spirometer. The vital capacity was measured according to the manual in the sitting position before the experiment. After each exercise, the vital capacity was also measured in the same way. One way repeated measures analysis of the variance (ANOVA) was used to compare the vital capacity according to the position, and a Bonferroni test was used for post hoc analysis. Results: Significant differences in vital capacity were observed after exercise than before exercise (p< 0.05). Post-hoc analysis, however, revealed no difference in vital capacity according to the position (p >0.05). Conclusion: This study was a preliminary study to determine the vital capacity according to the Kegel exercise and two positions. Nevertheless, further study with several revisions of the number of subjects, duration, and time for intervention will be needed.
실시간 자원 관리 정책을 제공하는 VOD 서버의 설계 및 구현
박한규(Hankyu Park),차호정(Hojung Cha) 한국정보과학회 1997 한국정보과학회 학술발표논문집 Vol.24 No.2Ⅳ
대규모 VOD 서버를 구성하기 위해서는 효율적인 수용제어, 실시간 스케쥴링을 지원하며 운영체제 간에 호환성을 지니고 하드웨어에 독립적인 서버 모델이 필요하다. 본 논문에서 제안하는 실시간 VOD 서버 모델은 실시간 스케쥴러가 사용자 계층에 존재하여 마감시간 우선 스케쥴링 정책에 의해 서비스를 처리한다. 마감시간 우선 스케쥴링의 과부하를 줄이기 위하여 주기별 비중단 마감시간 우선 정책을 제안한다. Windows NT 상에서 구현한 RVS 시스템을 바탕으로 서비스 가능한 최대 스트림 수를 구하고, 시스템이 비실시간 계층의 어플리케이션에 의해 영향을 받지 않음을 보인다.
A deep learning-based sports player evaluation model based on game statistics and news articles
Park, Young Joon,Kim, Hyung Seok,Kim, Donghwa,Lee, Hankyu,Kim, Seoung Bum,Kang, Pilsung Elsevier 2017 Knowledge-based systems Vol.138 No.-
<P><B>Abstract</B></P> <P>Player evaluation is a key component of the question-answering (QA) system in sports. Since existing player evaluation methods heavily rely on game statistics, they cannot capture the qualitative impact of each player during a game, which can be exploited using news articles after the game. In this paper, we propose a deep learning-based player evaluation model by combining both quantitative game statistics and the qualitative analyses provided by news articles. Players are classified as positive or negative based on their performance during certain periods, and news articles in the same period are annotated using the player's class. Then, the relationship between news articles and the annotated polarity is investigated by a deep neural network, which can deal with the high dimensionality of the text data. Since there is no explicit polarity label for news articles, we use the change in game statistics in target periods to annotate related sentences. The proposed system is applied to a Korean professional baseball league (KBO) and it is shown to be capable of understanding the sentence polarity of news articles on player performances.</P>