• Journal of Korean Orthopaedic Sports Medicine
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• v.5 no.2
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• pp.135-140
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• 2006

Purpose: To investigate the risk exposure, risk of injury, and injury pattern of football players in seasonal variation. We purposed to expect the injury and its' prevention. Material and Methods: The professional football club(45 players) in Seoul were followed prospectively throughout 2005, January to 2005, December. Injury pattern and incidence were recorded. Results: Total 157 injuries were recorded. Major injuries which could not attend to game and training were 87 cases. Most severe month was June about 16 injuries(18.4%). And, the competitive season injuries were 46(52.9%) in March, April, August and September. Especially, ankle sprain and contusion injuries were common cause of absence in game. And, thigh muscle group injuries had a high risk of reinjury, because of treat insufficiently. Conclusions: We enhance the ability of the soccer team by prevention and education for injuries, especially in season.

• 프린팅코리아
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• s.15
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• pp.154-155
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• 2003

지난해 여름, 대한민국 전체를 달궜던 월드컵 향연을 발판 삼아 2002년 10월에 설립된 한솔제지 본사 축구동호회(회장 김대진 차장, 회계정보팀) 35명 회원들은 요즘도 축구에 대한 열정에 푹 빠져 있다. 도시생활의 여건상 축구를 좋아하면서도 상대와 장소가 마땅치 않아 취미활동을 하지 못하던 사원들에게 이 동호회는 몸을 부대끼고 땀을 흘려가며 친목을 도모하고 유대감을 높여주는 매우 뜻깊은 매개체 역할을 하고 있다. 뿐만 아니라 하루종일 사무실 컴퓨터 앞에 앉아 업무를 보기 때문에 운동량이 절대적으로 부족한 사원들의 건강증진에는 이 보다 더 좋은 보약이 없다는게 회원들의 반응이다. 동호회 핵심 수비형 미드필더로 이름을 높이고 있는 이기한 사원은 "우리 축구동호회는 다른 동호회와 달리 저렴(?)한 비용으로 정기적으로 매주 행사를 실시하고 있으며 각종 사내 대회에 나가 우수한 성적을 거두고 있다"며 "올해 상반기 계열사 대항전에 나가 우승컵을 안았으며 한솔제지 사업장 대항 축구대회에서도 준우승을 하는 등 짧은 역사에도 불구하고 혁혁한 전과를 올리고 있다"고 자랑했다.

• 대한정형외과스포츠의학회:학술대회논문집
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• 2006.09a
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• pp.4-4
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• 2006

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.539-547
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• 2019

This study investigated the effect of small-world structure in team processes on team performance. I discussed the theoretical relationship between small-world structure in team processes and team performance and analyzed the relationship using pass data of soccer teams. I constructed the 128 pass networks from the pass data of the 2014 FIFA World Cup and then measured the structural features indicating small-world structure of the networks. Correlation analysis and regression analysis were performed in order to examine the strength and direction of the relationship. According to the results, the clustering has an exponential relationship with team performance and the connectivity has a log-function relationship with team performance. Finally, I found the positive effect of small-world structure in team processes on team performance. Through theoretical discussion and empirical analysis, this study found that small-world structure in team processes increase team performance by facilitating task coordination and collaboration between team members.

• Annual Conference of KIPS
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• 2020.11a
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• pp.826-829
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• 2020

스포츠팀 운영에 있어서 경기 중 상황에 대한 통계와 분석을 통해 좋은 성과를 내는 것은 스포츠 야구 종목의 Sabermetrics를 통해 이미 증명된 바가 있다. 한편, 축구에서는 최근 들어 선수의 역량을 평가하기 위하여 객관적인 시각에서 슈터(Shooter)에게 주어진 기회, 즉 슈팅 상황을 바라보는 기대 득점(Expected Goal; 이하 xG)이라는 지표가 등장하였으나, 객관성이라는 평가 의도와 다르게 경기 내 각각의 슈팅 상황을 정의하는 것에 있어 축구 분석관들의 주관성에 의존하는 한계성을 지녔다. 본 논문은 xG를 산출하는 방식에 있어서 기존의 주관성을 배제하고 인공지능을 통해 상황을 정의하여 객관적인 평가지표를 지향하며 유의미한 통계적 수치를 지닌 xG를 도출함으로써 결과 위주의 분석만이 존재하던 축구 종목에 있어서 경기 중 상황에 대한 객관적인 판단 및 정의에 대한 방향성을 제시한다. 또한, 본 논문에서의 인공지능은 국내 K리그 슈팅 데이터를 통해 학습되어 K리그 내 전략적인 상황들에 대한 특화된 xG를 도출하며, 이를 웹을 통해 K리그 내 선수 개개인에 대해서 시계열, 상대 팀, 슈팅 위치별 그래프로 시각화하여 제공하는 시스템을 구축함으로써 K리그를 기준으로 선수에 대한 평가 및 경기 운영에 기여할 수 있는 기대 득점 분석 서비스를 제공한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.4
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• pp.193-205
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• 2003

There has been so many research activities about robot soccer system in the many research fields, for example, intelligent control, communication, computer technology, sensor technology, image processing, mechatronics. Especially researchers research strategy for attacking in the field of strategy, and develop intelligent strategy. Then, soccer robots cannot defense completely and efficiently by using simple defense strategy. Therefore, intention extraction of attacker is needed for efficient defense. In this thesis, intention extractor of soccer robots is designed and developed based on FMMNN(Fuzzy Min-Max Neural networks ). First, intention for soccer robot system is defined, and intention extraction for soccer robot system is explained.. Next, FMMNN based intention extractor for soccer robot system is determined. FMMNN is one of the pattern classification method and have several advantages: on-line adaptation, short training time, soft decision. Therefore, FMMNN is suitable for soccer robot system having dynamic environment. Observer extracts attack intention of opponents by using this intention exactor, and this intention extractor is also used for analyzing strategy of opponent team. The capability of developed intention extractor is verified by simulation of 3 vs. 3 robot succor simulator. It was confirmed that the rates of intention extraction each experiment increase.

• 한국체육학회지인문사회과학편
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• v.54 no.4
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• pp.329-345
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• 2015

Our study examines the relationship between coach turnover and professional sport team performance using the evidences of Korean professional soccer teams. We collected panel dataset of 304 team-year observations and 96 coaches from Korean professional soccer league during the period of 1983-2013. Among them, our final sample is comprised of 226 observations and 81 coaches manifested for fixed-effect generalized least square (GLS) regression analysis. Drawing on sport management literatures and organizational learning theory, we argue that it takes time for a new head coach to take charge of the team in which the new leader who secure more time to interact with organization members is better able to remodel and improve team performance. Our empirical findings reveal that off-season coach turnover has a positive impact while turnover during the season has its negative influences on team performance. In addition, we find that subsequent team performance in association of off-season coach turnover is comparably better than that of on-season succession. The results show that coach succession rendered from inside the professional soccer team mediates the relationship between coach turnover and team performance. Our findings imply that coach turnover in professional sport teams is a significant factor affecting team performance.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.404-413
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• 2011

The research for the regional identity including relationships with professional sport team was caused by local autonomy system and localism. This study was to verify structural relationships among regional identity, team identification and re-attend intention of professional soccer spectators. Data were collected from spectators of professional soccer game in 'D' metropolitan city. Using purposive sampling method, a total of 397 samples were used for analysis. The statistical techniques for data analysis were descriptive analysis, frequency analysis, reliability analysis, correlation analysis, confirmatory factor analysis, and structural equation modeling by SPSS 15.0 and AMOS 7 programs. The results of this study were that regional identity have a positive effects on team identification. Also, team identification have a positive effects on re-attend intention. Theoretical and practical implications and future research directions were provided.

• Annual Conference of KIPS
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• 2021.11a
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• pp.819-822
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• 2021

AI World Cup 환경은 다수 가상 에이전트들이 팀을 이뤄서 서로 상호작용하며 대전이 가능한 가상 축구 환경이다. 본 논문에서는 AI World Cup 환경에서 멀티 에이전트기반 학습/추론 기술을 사용하여 다양한 전략과 전술을 구사하는 가상 축구 에이전트 구현과 시뮬레이션 결과를 소개한다. 먼저, 역할을 바탕으로 협동하여 상대방과 대전할 수 있는 논리 기반 추론형 멀티 에이전트 기술이 적용된 Dynamic planning 축구 에이전트 9 세트를 구현하였다. 이후, 강화학습 에이전트 기반, 단일 에이전트를 조합한 Independent Q-Learning 방식의 학습형 축구 에이전트를 구현한 후, 이를 멀티 에이전트 강화학습으로 확장하여 역할 기반 전략 학습이 가능한 가상 축구 에이전트를 구현하고 시뮬레이션 하였다. 구현된 가상 축구 에이전트들 간 대전을 통해 승률을 확인하고, 전략의 우수성을 분석하였다. 시뮬레이션 예제는 다음에서 확인할 수 있다 (https://github.com/I-hate-Soccer/Simulation).

• Journal of Digital Convergence
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• v.15 no.7
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• pp.479-487
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• 2017

The purpose of this study was to identify the most influential soccer players by appling social network analysis. The subjects were the German national soccer team and the Korean national soccer team participated in the 2016 Brazil World Cup. The pass collected data provided by FIFA were analyzed by social network analysis using the Ucinet6 program and pass success rate. The results are as follows. First, the soccer player with a lot of passes had a high connection centrality in pass-through networks and high proximity. Second, the German national soccer team has appeared key players as Phillip Lahm and Kroos player, and a key player of the Korean national soccer team was Ki,S.Y. Third, the German national soccer team's quantitative indicator value of proximity center and pass success rate appeared higher than the Korean national soccer team's.