• 건강소식
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• v.36 no.1
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• pp.14-15
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• 2012

이승엽이 8년간의 일본 프로야구 생활을 정리하고 돌아왔다. 그는 "아쉬움보다 시원하다."고 입을 열었다. 시실 이승엽은 일본생활을 더 이어갈 수 있었다. 지난 2010년 12월 1년간 연봉 1억 5천만 엔을 받고 오릭스 유니폼을 입었지만 발표와 달리 유효기간이 2년이었던 까닭이다. 한국행은 보장된 연봉을 포기한 새로운 도전인 셈. 그가 미소를 지으며 국내 리그로 복귀하는 진짜 이유는 무엇일까. 이승엽을 만나 솔직한 심정을 들어봤다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.517-518
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• 2024

본 연구에서는 특정 비디오에서 추출된 비디오 클립이 어떤 비디오에서 추출된 것인지 탐색하는 알고리즘을 제안한다. 국내 이스포츠 리그 중 하나인 LCK의 경기 영상과 하이라이트 영상을 수집하여 알고리즘의 성능을 테스트하였다. 본 연구에서 제안한 알고리즘은 하이라이트 비디오 추출 모델개발에 필요한 비디오-하이라이트 클립 데이터셋을 구축하는 데 도움이 될 것이라 기대한다.

• Journal of Korea Game Society
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• v.21 no.5
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• pp.133-142
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• 2021

This study investigated the effectiveness of 'League of Legends (LoL) game school', an e-sports online training program for relieving youth game over-flow. The Seoul Metropolitan Office of Education's Student Education Institute ran the program. Through this study, it was found that various activities to learn an e-sports game professionally and to explore career paths regarding game had positive effects on students' affections and intrinsic motivation. This study may contribute to helping youth as generation Z understand a healthy game culture.

• International Area Studies Review
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• v.22 no.1
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• pp.237-257
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• 2018

The distinction between high culture and popular culture is gradually weakening. Taste is becoming a new standard to distinguish culture. This research analyze sports film by taste cultural perspective. In perspective of Universality, and is Both emphasized the individual attitude of sincere effort. This can be interpreted as a capitalist ideology. Analyzing the two films as a global and local tastes culture, shows a new world that follows the birth of a star player and deifies the football beyond borders and races. shows the distrust of the system through the K-League Citizens' Club and the trust in individual who does their best in the meantime.

• Communications for Statistical Applications and Methods
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• v.15 no.5
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• pp.687-695
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• 2008

It is widely known that the home advantage plays an important factor for determining victory or defeat in sport leagues. Thus a ranking system of sport league should take account of the home advantage as a key factor. Various statistical models are studied to rate the Korean Basketball league teams in 2006-2007 season. Among them, the model equation provided by Harville and Smith (1994) is useful for constructing two ranking systems. Both systems give quite reasonable quantifications of the team's ability and the home advantage.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.94-98
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• 2009

A video caption recognition system has been developed for broadcasting sport events such as major league baseball. The purpose of the system is to translate the information expressed in English units such as miles per hour (MPH) to the international system of units (SI) such as km/h. The system detects the ball speed displayed in the video and recognizes the numerals. The ball speed is then converted to km/h and displayed by the following character generator (CG) system. Although neural-network based methods are widely used for character and numeral recognition, we use template matching to avoid the training process required before the broadcasting. With the proposed template matching method, the operator can cope with the situation when the caption’s appearance changed without any notification. Templates are configured by the operator with a captured screenshot of the first pitch with ball speed. Templates are updated with following correct recognition results. The accuracy of the recognition module is over 97%, which is still not enough for live broadcasting. When the recognition confidence is low, the system asks the operator for the correct recognition result. The operator chooses the right one using hot keys.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.65-71
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• 2020

Recently, the field of using data has begun to attract attention in professional sports. In the field of data utilization, in addition to the classic records obtained within the economy, secondary records that emphasize efficiency are also actively used. Therefore, in this study, we try to study the correlation with the pitcher's strikeout ability through the daily average humidity, which is data outside the competition. For this reason, referring to the daily average record of the area of the home base of 10 teams belonging to the KBO league and the auxiliary stadium, the top 5 in the win, hold, save section to grasp the characteristics of the starting pitcher and the rescue pitcher We analyzed K / 9 records for each person. Through the results of this study, we found a significant difference in the K / 9 record between the starting pitcher and the rescue pitcher, and we can expect to investigate the use of professional sports data and develop the industry in general.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.5
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• pp.161-168
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• 2020

Predicting outcome of the sports enables teams to establish their strategy by analyzing variables that affect overall game flow and wins and losses. Many studies have been conducted on the prediction of the outcome of sports events through statistical techniques and machine learning techniques. Predictive performance is the most important in a game prediction model. However, statistical and machine learning models show different optimal performance depending on the characteristics of the data used for learning. In this paper, we propose a new ensemble model to predict English Premier League soccer games using statistical models and the machine learning models which showed good performance in predicting the results of the soccer games and this model is possible to select a model that performs best when predicting the data even if the data are different. The proposed ensemble model predicts game results by learning the final prediction model with the game prediction results of each single model and the actual game results. Experimental results for the proposed model show higher performance than the single models.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.237-250
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• 2017

A new field of e-sports gains the great popularity in Korea as well as abroad. AOS (aeon of strife) genre games are quickly gaining popularity with gamers from all over the world and the game companies hold game competitions. The e-sports broadcasting teams and webzines use a variety of statistical indicators. In this paper, as an AOS genre game, League of Legends game data is used for statistical analysis using the indicators to predict the outcome. We develop new indicators with the factor analysis to improve existing indicators. Also we consider discriminant function, neural network model, and SVM (support vector machine) for make winning forecasting models. As a result, the new position indicators reflect the nature of the role in the game and winning forecasting models show more than 95 percent accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.978-984
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• 2020

In this study, the correlation between sports records and weather data was analyzed using the big data analysis method. To this end, data was collected by API and crawling, data was processed, statistics were performed, and data visualization was performed. The subject of this study was a player who entered the regular at-bat among outfielders in the 2019 KBO League. In addition, meteorological data were analyzed by using the unpleasant index and above 70 and below 70. As a result of the study, in the various hitting indicators, which are the records that pitchers intervene, the higher the unpleasant index, the better the outfielder's record, but pitchers, walks, pitches, pitching success rates, pitches per turn, pitches per game From the records of the back, it was found that the outfielder made the pitcher difficult. It is expected that this study will help the development of the sports data industry and the performance of baseball players, baseball teams, and coaching staff.