• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.651-652
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• 2016

최근 스포츠 과학과 ICT 기술을 접목하여 스포츠 활동올 분석하고자 하는 시도가 증가하고 있다. 이런 양상은 축구 경기에 대한 분석에서도 나타나고 있으며, 그 목적에 따라 다양한 방법으로 분석을 시도한 사례를 쉽게 발견 할 수 있다. 하지만, 현재까지 제시된 시스템들은 높은 수준의 경기 내용 분석올 제공하려는 시도를 보이지 않고 있다. 본 논문은 통계 분석 위주의 현재 축구 분석 시스템의 한계에 대해 논한 후 이를 내용 이해 기반으로 끌어올리기 위한 시스템의 구성 방법에 대한 구체적인 안을 제시하였다. 제안하는 시스템의 개발을 통하여 새로운 양상의 서비스와 산업 생태계 측면의 긍정적 변화를 기대할 수 있다.

• 한국체육학회지인문사회과학편
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• v.56 no.4
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• pp.397-413
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• 2017

The purpose of this study is to introduce the case and to provide related information for the physical education major to handle and utilize the social big data through the exploratory study for the application of sports industry in the fourth industrial revolution. For this study, data was collected from the article database, which covers the keyword such as 'Social Big Data', 'Sports' and so on. The analyzed articles were 86 articles. As a results, The research on social big data applied to sports industry are as follows: 1) Analysis of major issues related to sports fans' interests and sports events, 2) A study on media sports engagement, 3) The prediction analysis of sports game based on the sentiment analysis, 4) Development of salary estimation model for professional player in sports, 5) Research trend analysis and so on. In conclusion, the social big data analysis technology in the sports industry and management can be utilized variously. Therefore, the specialists of the sports industry and management field need to learn the techniques, to acquire the know-how for the research project, to convert the convergence thinking.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.333-346
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• 2022

This study proposes a strategy to attract visitors by analyzing the justification for hosting the 2027 Summer World University Games in Chungcheong, Korea, as well as by assessing the internal and external factors to promote regional development. Using Environmental Analysis as the diagnostic approach, we focus on strength/opportunity (SO), strength/threat (ST), weakness/opportunity (WO), and weakness/threat (WT) analyses. SO analysis show that a matching strategy of mid- to long-term cooperation among the four cities and provinces in Chungcheong and development of local sports by promoting its linkages to science, and industry offer best strategic use-value. ST analysis shows that optimal infrastructure development and establishment of competition management strategies in preparation for non-face-to-face engagement make balanced regional development possible. WO analysis shows the need for rearrangement and renovation of outdated sports facilities, development of programs linked to convergence sports tourism products, efficient and strategic attraction activities, and promoting sustainable development of bed town cities. WT analysis suggests that the imbalance in regional development due to expansion of sports facilities, insufficient cultural contents in tourism, and tourism demand fluctuation are potential problems. Follow-up studies can focus on deeper analysis of the possibility and attractiveness of hosting the Summer World University Games in Chungcheong, Korea using qualitative methods such as focus group interviews and in-depth interviews with stakeholders and local residents.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.550-552
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• 1998

스포츠 비디오는 역동적인 특성과 비정형적인 구조를 가지고 있으므로 뉴스와 같은 정형적인 비디오와는 달리 분석이 쉽지 않다. 본 논문에서는 이러한 어려움을 극복하기 위하여 축구 경기에서 하이라이트를 추출하여 색인하고 이에 대하여 선수 위치 추적, 파노라마 영상 구성, 경기장 모델 상에서의 선수 이동 궤적 도시 등을 수행하는 방법을 제안한다. 이를 위하여 제한된 색상의 HSV 영상을 구성하여 골대와 선수 위치를 추적하고, 움직임 벡터를 추출하여 카메라 동작을 분석하였으며 경기장 모델 구성을 위해 경기장 내의 특징점을 추출하여 투영 변환을 수행하였다. 실험 결과를 통해서 제안된 방법이 축구 경기 비디오 분석에 효율적으로 이용될 수 있음을 확인할 수 있다.

• Convergence Security Journal
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• v.19 no.1
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• pp.121-126
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• 2019

The big data utilization category in the sports field was mainly focused on the big data analysis to improve the competence of the athlete and the performance. Since then, 'big data technology' which collect and analyze more detailed and diverse data through the application of ICT technology such as IoT and AI has been applied. The use of big data of sports contents in future has value and possibility in the smart environment, but it is necessary to overcome the shortage and limitation of platform to manage and share sports contents. In order to solve such problems, it is important to change the perception of the companies or providers that provide sports contents and cultivate and secure professional personnel capable of providing sports contents. Also, it is necessary to implement policies to systematically manage and utilize big data poured from sports contents.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.271-276
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• 2022

The purpose of this study is to investigate the effect of the perfectionism tendency of university athletes on athletic commitment, and ultimately to provide the importance of psychological factors to foster excellent athletes. A survey was conducted on 170 athletes attending universities in Hanam, China and Suwon, Korea. To achieve the purpose of this study, it was analyzed using SPSS 22.0. As for the analysis method, frequency analysis, exploratory factor analysis, internal uniformity, Pearson correlation analysis, and multiple regression analysis were performed. As a result, in the effect of the perfectionist tendency of Chinese university athletes on exercise commitment, behavioral commitment and cognitive commitment among the perfectionist tendencies of university athletes had a significant effect. Through this study, it is believed that it will be meaningful for university athletes to provide basic data by investigating the relationship between perfectionism tendency and exercise commitment of university athletes.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.471-477
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• 2019

The purpose of this study is to analyse the attacking pattern of the key player through plenty of passes on field hockey between the winning games and losing ones through the preliminary game and the tournament. It has shown that the Korean women national team on field hockey is analysed all the passes through the sportscode for the 6 games of the World-League Final, and is investigated the centrality through the social network analysis using the R analytic software. The result is followed : First, It has shown three tendencies on the preliminary games that it has shown a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than the tournament. Second, It has also described on winning games that it has explained a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than losing games. On the conclusion, it has revealed that Korean women national team on field hockey showed a tendency that prefer to use a counter-attacking. Based on these study, expect to be used as a way to analyze performance in the field.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.279-286
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• 2021

The purpose of this study is to compare the predictive power of the Bagging and Boosting algorithm of ensemble method based on the motion information that occurs in woman handball matches and to analyze the availability of motion information. To this end, this study analyzed the predictive power of the result of 15 practice matches based on inertial motion by analyzing the predictive power of Random Forest and Adaboost algorithms. The results of the study are as follows. First, the prediction rate of the Random Forest algorithm was 66.9 ± 0.1%, and the prediction rate of the Adaboost algorithm was 65.6 ± 1.6%. Second, Random Forest predicted all of the winning results, but none of the losing results. On the other hand, the Adaboost algorithm shows 91.4% prediction of winning and 10.4% prediction of losing. Third, in the verification of the suitability of the algorithm, the Random Forest had no overfitting error, but Adaboost showed an overfitting error. Based on the results of this study, the availability of motion information is high when predicting sports events, and it was confirmed that the Random Forest algorithm was superior to the Adaboost algorithm.

• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.204-212
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• 2008

This study analyzes on which Sports Program the 2006 TV focused on. As a data, we have used the 2006 Television programming components of KBS 1TV, 2TV and MBC TV, SBS TV. The analysis of the data was carried out classifying the sports hookup program. As a result, all three broadcasting companies placed a great deal of weight on the 2006 World Cup and they have made national match the prime subject in the components of Television Programming. Looking at each broadcasting companies, SBS TV placed the highest importance in sports programming, on the other hand, KBS TV placed the least importance in sports programming. The characteristic of the 2006 Sports Television Programming components is that it was focused on the Mega Sports Event and the Pro-Sports of the World Cup and have worsen the alienation phenomena of unpopular sports.

• Journal of Korean Orthopaedic Sports Medicine
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• v.6 no.2
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• pp.99-104
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• 2007

Purpose: To research match injuries related to Taekwondo in adolescent athletes and find out preventing injuries. Materials and Methods: We analyzed 162 match injuries of middle and high school athletes, who were surveyed in 2005 and 2006 national tournament. Results: Among 162 match injuries, injuries in foot and hand were the most common and there were 35 cases in serious injuries such as fracture, open dislocation, open fracture of epiphyseal plate and so on. The very fast speed and destructive power of Takwondo athlete can cause open dislocation of great toe and can cause fracture of foot and upper extremity when kicking. Conclusion: We consider that injured athletes need proper treatments and sufficient rest not to accumulate training injuries and match injuries and need to improve mats of stadium, braces for feet and hands and put on braces for elbows to prevent match injuries.