• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1283-1294
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• 2016

We studied fielding indices to explain runs lost for Korean professional baseball teams, successively motivated by OPS and weighted OPS obtained by combining on-base percentage and slugging average that can adequately explain the run productivity of teams. We considered several combined indices made by combining fielding indices highly correlated with the runs lost of teams. Data analysis from all games in the regular seasons of 1982-2015 shows that weighted adjusted WPH 2 (defined as weighted average of adjusted WHIP and number of home runs allowed per inning) best explains runs lost. Weighted adjusted WPH 2 consisting of adjusted WHIP (with weight 34%) and number of home runs allowed per inning (with weight 66%) was found to be optimal weighted adjusted WPH 2 having correlation coefficient 0.95362 with average runs lost per game. This result is an improvement of the result of the index obtained in Kim and Kim (2015a). Analysis by chronological periods provides results that are not much different. Also we made a list of top 10 pitchers for each of the recent three years, based on the obtained index.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.1003-1011
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• 2015

We studied indices to explain runs lost for Korean professional baseball teams. Kim and Kim (2014) studied batting indices to explain run productivity of teams; subsequently, we studied fielding indices to explain runs lost. We considered several combined indices made by combining fielding indices closely connected with the runs lost of teams. Data analysis from all games in the regular seasons of 1982~2014 show that weighted WPH (defined as weighted average of WHIP and number of home runs allowed per game) best explain runs lost. Weighted WPH consisting of WHIP (with weight 81%) and number of home runs allowed per game (with weight 19%) was found optimal weighted WPH having correlation coefficient 0.95033 with average runs lost per game. Analysis by chronological periods gave results not much different.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.653-659
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• 2015

The Pythagorean formula for baseball postulated by James (1982) indicates the winning percentage as a function of runs scored and runs allowed. However sometimes, the Pythagorean formula gives a less accurate estimate of winning percentage. We use the records of team vs team historic win loss records of Korean professional baseball clubs season from 2005 and 2014. Using assumption that the difference between winning percentage and pythagorean expectation are affected by unusual distribution of runs scored and allowed, we suppose that difference depends on mean, standard deviation, and coefficient of variation of runs scored per game and runs allowed per game, respectively. In conclusion, the discrepancy is mainly related to the coefficient of variation and standard deviation for run allowed per game regardless of run scored per game.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.837-844
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• 2009

This study used data of soccer match 5170 games from 1950 to 2008 in five European football professional leagues. We compared average of SGPG (scored goal per game) in each two and three points of win. And we compared average of SGPG in each leagues. In order to predict PtsG (points per game), we executed regression analysis using SGPG and LGPG (lossed goal per game). Finally, We applied regression analysis to a K-league.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.187-196
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• 2015

The team's performances were analyzed by evaluating the scores gained by their offense and the scores allowed by their defense. To evaluate the team's attacking and defending abilities, we also considered the factors that contributed the team's gained points or the opposing team's gained points? In order to analyze the outcome of the games, three prediction models were used such as decision trees, logistic regression, and discriminant analysis. As a result, the factors associated with the defense showed a decisive influence in determining the game results. We analyzed the offense and defense by using the response variable. This showed that the major factors predicting the offense were non-stop pass and attack speed and the major factor predicting the defense were the distance between right and left players and the distance between front line attackers and rearmost defenders during the game.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.256-258
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• 2005

최근 유비쿼터스 컴퓨팅 기술이 활발하게 연구되고 있는 실점에서 상황인지 (Context Aware)에 의한 위치 기반 서비스 (LBS : Location Based Service)와 POI(Point of Interest) 서비스가 활발히 연구되고 있다. 그러나 실외 위치 측위를 위한 GPS의 이용이 불가능한 실내 이동 환경에서는 사용자의 위치 변화 인지가 불가능하므로. 실내에서의 위치 기반 서비스를 위해서는 실내 환경에 적합한 위치측위 방식을 고려하여야 한다. 최근 물류 관리나 사용자 인증 등에 주로 사용되고 있는 RFID (Radio frequency IDentification)는 비접촉 인식 기술로서 위치 ID를 이용하여 실시간으로 실내의 위치 변화에 반응하도록 함으로써 실내 측위 시스템으로의 응용이 가능하다. 본 연구에서는 RFID를 이용해 실시간으로 위치 ID를 인지해 실내 위치 정보를 획득하고, XML 웹서비스와 벡터기반의 SVG를 이용하여 이동 클라이언트인 PDA에 사용자 위치정보를 적용한 실내 공간 정보 서비스 및 POI 서비스가 가능하도록 실내 위치 측위 시스템을 설계하고 구현하였다.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.514-516
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• 2004

국내 및 국외에서 많은 시뮬레이션 환경이 개발되어 다양한 시뮬레이터 개발에 활용되고 있다. 이러한 시뮬레이션 환경은 다양한 기능을 갖추고 있어 시뮬레이터 개발편의를 도모하고 있다. 이러한 시뮬레이션 환경에서는 시뮬레이션 스케줄링(Scheduling), 데이터베이스(Database), 모델 컴파일 그리고 디버거(모니터링 및 제어기능 툴)등을 제공한다. 이미 국내 및 국외 업체에서 시뮬레이션 환경이 개발되어 왔지만, 3차원적인 시뮬레이션을 필요로 하는 시뮬레이션 환경은 미비한 상태로 로봇공학이나 3차원 시뮬레이션이 필요한 산업에 앞으로 더욱더 개발이 필요한 실점이다. 본 논문에서는 3차원 시뮬레이션을 하기 위한 방안으로 개발된 3D 모델빌더와 시뮬레이션 환경인 3DSIM(3D Simulation Environment)을 소개한다. 3DSIM은 현재 사용되고 있는 시뮬레이션 환경과는 다른 형식의 구조를 갖추고 있어 일반 시뮬레이션 환경과의 차이점에 대해 알아본다. 일반적인 시뮬레이션 환경은 서버와 클라이언트로 나뉘어 서버에서는 특정 모델에 대한 연산을 수행하기 위한 환경을 제공하며, 클라이언트에서는 서버에서 수행된 연산을 효율적으로 분석하기 쉽도록 보여주는 환경으로 나된다. 하지만, 3차원 시뮬레이션 환경인 3DSIM은 3차원 객체를 디자인하는 과정이 필요하며, 3차원 객체를 디자인하였을 경우, 각각의 파라미터를 통하여 시뮬레이션 되어야 한다는 점에서 일반적인 시뮬레이션 환경과의 구조가 다르게 된다. 3DSIM개발을 통하여 3차원 시뮬레이터 개발을 보다 편하게 개발할 수 있도록 하였으며, 시뮬레이션 모니터링 및 제어가 용이하도록 개발하였다.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1477-1485
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• 2016

The Pythagorean theorem for baseball based on the number of runs they scored and allowed has been noted that in many baseball leagues a good predictor of a team's end of season won-loss percentage. We study the convergence characteristics of the Pythagorean expectation formula during the baseball game season. The three way ANOVA based on main effects for year, rank, and baseball processing rate is conducted on the basis of using the historical data of Korean professional baseball clubs from season 2005 to 2014. We perform a regression analysis in order to predict the difference in winning percentage between teams. In conclusion, a difference in winning percentage is mainly associated with the ranking of teams and baseball processing rate.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1295-1314
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• 2002

Recently, wireless internet market has reached to the induction and growth stage by rapid development of Mobile service by fusion of Internet and wireless technology of communications. But, current wireless internet service of domestic five mobile communication companies are being limited to the service using markup-language, platform and Contents. Therefore, research on integration Contents of different. Wireless internet platform and its development are necessary. For the easiness of maintenance and compensation, this paper attempts to design a Wireless internee Contents converter for integrate wired and wireless platform which automatically converts to WML and HDML, M-HTML, S-HTML, C-HTML through analysis of HTML document.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.493-499
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• 2014

The Pythagorean won-loss formula postulated by James (1980) indicates the percentage of games as a function of runs scored and runs allowed. Several hundred articles have explored variations which improve RMSE by original formula and their fit to empirical data. This paper considers a variation on the formula which allows for variation of the Pythagorean exponent. We provide the most suitable optimal exponent in the Pythagorean method. We compare it with other methods, such as the Pythagenport by Davenport and Woolner, and the Pythagenpat by Smyth and Patriot. Finally, our results suggest that proposed method is superior to other tractable alternatives under criterion of RMSE.