• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.49-54
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• 2020

The purpose of this study was to investigate the correlation between sports incidence and heart rate variability in nationa lfemale judo athletes. Participants measured heart rate variability using the Autonomic Nervous System(SA-6000). Based on the average incidence of injury, sports injury incidence was classified into upper and lower groups. In addition, Pearson's Product Moment Correlation was performed to examine the correlation between the independent T-test, the number of sports injuries, and the heart rate variability. Heart rate variability was significantly different in total power and low frequency, and there was also significant difference in otal power and low frequency in the correlation analysis of heart rate variability according to the number of sports injuries. These data are expected to be useful as basic data for developing prevention injury programs.

• Journal of Korean Orthopaedic Sports Medicine
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• v.11 no.1
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• pp.8-16
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• 2012

With the increase of participation in the sport activities, there has been a commensurate rise in the number of sport injuries. A more commonly encountered injured region in the upper-extremity is the wrist. Sport injuries are often characterized as overuse and traumatic. Traumatic injuries include fractures, dislocations, and ligament tears often seen in contact or collision sports. Overuse injuries, represented damages by a level of repetitive microtrauma sufficient to overwhelm the tissues$^{\circ}{\O}$ ability to adapt, include inflammatory conditions such as De Quervain$^{\circ}{\O}s$ disease, extensor carpi ulnaris tendinitis, intersection syndrome. Also included is a traumatic problem such as stress fractures of the hook of the hamate, subluxation of the extensor carpi ulnaris tendon, chronic scapholunate instabilities, and degenerative triangular fibrocartilage tears. This review will focus on both overuse and traumatic injuries of the wrist in the athletes. A significant emphasis will be placed on the evaluation, pearls and pitfalls of conservative and operative treatments.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.493-502
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• 2023

The development of online content is changing the value of society very diversely and rapidly. In particular, the non-face-to-face e-sports industry is growing significantly in the current situation where the COVID-19 Pandemic has not been completely overcome. The use of NFT in the eSports industry is receiving positive reviews as a field with high potential for future growth that protects digital assets of eSports users, but at the same time, it is raising concerns that cash transactions of digital items could encourage gambling. In this study, the characteristics of the recent eSports industry and NFT were identified and classified through case studies using literature, official sites, and online news articles. Through various cases of eSports and NFT, we discussed the potential for future growth and activation plan of the NFT industry of eSports. The result is as follows. First, it is necessary to use NFT using IP of eSports event itself. Second, it is necessary to combine the functional role of the item with NFT to provide features that users can utilize. Third, it is necessary to provide users with opportunities to engage in economic activities using eSports and NFT. Finally, it is necessary to use NFT to strengthen the digital asset protection of eSports users. Through this study, it is expected to be used as a basis for further discussions on the NFT industry of e-sports and as a material for securing competitiveness.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.302-304
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• 2016

In this paper, we propose the profile processing algorithm based on in-life sports contents. The proposed algorithm is required research for recommending to sport for all contents, and is preceding research to improve reliability of recommendation. So the proposed algorithm processing dynamic profile based on dynamic information for recommendation, and processing weight values that depending on dynamic recommendation classification. The proposed profile processing algorithm is expected to improve satisfaction of contents recommendation.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.423-429
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• 2015

The purpose of this research was to examine the effect of dance sports for twelve weeks on physical self-efficacy in post-menopausal depression obese women. A total 38 women participated in this study, and they were divided into three groups: mild-depression group(n=9), light-depression group(n=14) and control group(n=15). For the exercise program in this study, a dance sports program performed at an intensity of heart rate reserve 50~80%, 60 minutes of exercise time, and the frequency of 3 times a week. Physical self-efficacy for mild-depression group after 12-week dance sports program was significantly increased compared to before the exercise. Although light-depression group and control group didn't show significant increase in physical self-efficacy, dance sports is expected to act positively on mental stability, such as depression and hope used as an effective tool to improve the quality of life. Furthermore, we expect a convergence is achieved between the sports science and medical research sectors.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.49-50
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• 2015

본 논문에서는 이미지를 시각적 단어로 표현하여 분석하는 기법인 bag-of-visual words (BoW) 모델을 기반으로 latent dirichlet allocation (LDA) 모델을 결합하여 시각적 단어의 구조를 파악하여 이미지를 분류할 수 있는 모델을 제안한다. 우선 이미지를 시각적 단어로 기존의 방법보다 정확하게 표현하기 위해서 희소 부호화(sparse coding) 기법을 적용한다. 기존의 BoW 모델은 하나의 이미지 패치를 하나의 단어로 표현하였지만, 희소 부호화 기법을 통해 하나의 이미지 패치를 여러 개의 단어로 표현할 수 있다. 제안하는 모델을 이용하여 이미지를 분류하기 위해서 분류 성능 측정에 많이 쓰이는 multi-class SVM 기법을 이용한다. UIUC 스포츠 데이터를 이용한 성능 측정을 통해 제안한 기법의 클래스 분류 성능을 검증하였다.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.45-54
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• 2016

The purpose of this article was to not only review historically the growth and development of dancesport, to but also seek to inform the value and prospect of dancesport in Korea. To achieve the purpose of the paper, the result of this article was framed into four time periods for a historical review of Korean dancesport growth and development: the late 1880s - the mid 1940s, the late 1940s - the late 1980s, 1990s and 2000s onwards. First, the first period was from the late 1880s to the mid 1940s when the nation accepted a social dance and western dance and tradition especially in upper-class Korean society. Second, the second period was from the late 1940s to the late 1980s when social dances (or ballroom dance) were suppressed under the military-based regime. The most likely explanation for this was a tradition that Korea society consider distinction between the sexes as a virtue. Third, third period was the 1990s when the social dance (ballroom dance) was developed officially into dancesport. Actually, the 1990s saw the sport built up a positive image while a negative image was portrayed by the military-based government. Fourth, the fourth period was the 2000s onwards when the sport has been developed as a sport and culture in a sound and systematic manner. Indeed, the sport has come to meet the public tastes.

• 한국체육학회지인문사회과학편
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• v.55 no.5
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• pp.249-262
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• 2016

The policy regarding school sport club participation that was implemented in 2007 to mitigate reductions in fitness has been reported to be satisfactory at improving the physical, mental, and social health of elementary, middle, and high school students by the students as well as by their teachers and parents. The purpose of this systematic review is to investigate the association between participation in school sport club and character-building among adolescents in Korea, and to provide evidence to inform physical education policies in the future. Using "School Sport Club" as the key word, the Korean electronic databases were searched, and this systematic review included a total of 13 articles. School sport club participation among school students is closely correlated to character-building, prevention of school violence, attitude towards life and attitude toward education. The findings of this study support the Ministry of Education's new policy (2015) to extend and expand school sport club participation and highlights the importance of physical activity.

• Journal of Industrial Convergence
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• v.22 no.7
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• pp.31-41
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• 2024

The purpose of this study is to analyze how to utilize sports cooperatives that can be a pleasure to work and add living expenses through sports as a model for creating jobs for the elderly. To this end, after reviewing the literature and expert survey using Delphi techiques for 9 sports experts and 4 cooperative experts, the following conclusions were drawn analyzing with Excel, SPSS V28, and AHP analysis Dress V 1.7 program First, as a model for creating jobs for the elderly, the economic factors, social factors, institutional factors, and middle categories 10 factors and sub-categories 36 factors were derived from the major categories for the utilization of sports cooperatives. Second, through senior sports cooperatives, economic activities generate income, and volunteer and talent-sharing activities provide opportunities for physical and mental health and social participation. And, as corporations, they can expand profit-making projects through government and local government collaboration and partnership projects, contributing to solving issues related to the elderly. In the future, follow-up studies are needed to explore the needs, satisfaction, problems, improvement plans, utilization plans, and development directions of sports cooperatives in the sports field.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.197-200
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• 2005

본 논문은 유해한 동영상을 실시간으로 분석하고 차단하기 위하여, 동영상의 비주얼 특징으로서 그룹 프레임(Group of Frame) 특징을 추출하여 SVM 학습모델을 활용하는 유해 동영상 분류에 관한 것이다. 지금까지 동영상 분류에 관한 연구는 주로 입력 동영상을 뉴스, 스포츠, 영화, 뮤직 비디오, 상업 비디오 등 사전에 정의한 몇 개의 장르에 자동으로 할당하는 기술이었다. 그러나 이러한 분류 기술은 미리 정의한 장르에 따른 일반적인 분류 모델을 사용하기 때문에 분류의 정확도가 높지 않다. 따라서, 유해 동영상을 실시간으로 자동 분류하기 위해서는, 신속하고 효과적인 동영상 내용분석에 적합한 유해 동영상 특화의 특징 추출과 분류 모델 연구가 필요하다. 본 논문에서는 유해 동영상에 대하여 신속하고, 정확한 분류를 위하여 유해 동영상의 대표 특징으로서 그룹프레임 특징을 정의하고, 이를 추출하여 SVM 학습 모델을 생성하고 분류에 활용하는 매우 높은 성능의 분석 방법을 제시하였다. 이는 최근 인터넷 뿐만 아니라 다양한 매체를 통하여 급속도로 번지고 있는 유해 동영상 차단 분야에 적극 활용될 수 있을 것으로 기대된다.