• Title/Summary/Keyword: 평가득점

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Evaluating the quality of baseball pitch using PITCHf/x (PITCHf/x를 이용한 투구의 질 평가)

  • Park, Sungmin;Jang, Woncheol
    • The Korean Journal of Applied Statistics
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    • v.33 no.2
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    • pp.171-184
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    • 2020
  • Major League Baseball (MLB) records and releases the trajectory data for every baseball pitch, called the PITCHf/x, using three high-speed cameras installed in every stadium. In a previous study, the quality of the pitch was assessed as the expected number of bases yielded using PITCHf/x data. However, the number of bases yielded does not always lead to baseball scores, or runs. In this paper, we assess the quality of a pitch by combining baseball analytics metric Run Expectancy and Run Value using a Random Forests model. We compare the quality of pitches evaluated with Run Value to the quality of pitches evaluated with the expected number of bases yielded.

Run expectancy and win expectancy in the Korea Baseball Organization (KBO) League (한국 프로야구 경기에서 기대득점과 기대승리확률의 계산)

  • Moon, Hyung Woo;Woo, Yong Tae;Shin, Yang Woo
    • The Korean Journal of Applied Statistics
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    • v.29 no.2
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    • pp.321-330
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    • 2016
  • Run expectancy (RE) is the mean number of runs scored from a specific base runner/outs situation of an inning to the end of the inning. Win expectancy (WE) is the probability that a particular team will win the game at a specific game state such as half-inning, score difference, outs, and/or runners on base. In this paper, we derive RE and WE for the Korea Baseball Organization (KBO) League based on six-year data from 2007 to 2012 using a Markov chain model.

Sport Situational Analysis Using Artificial Intelligence : Focused on Football Expected Goal (인공지능을 이용한 스포츠 상황 분석 서비스 : 축구의 기대 득점을 중심으로)

  • Kim, Jin Sob;Kim, Min Jun;Lee, Kwanhyeong;Yoon, Yongsoo;Moon, Jaehyun
    • Proceedings of the Korea Information Processing Society Conference
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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.

A Study on the Score of Issues by Certification Grade in the G-SEED for Office Buildings (업무용 건축물의 녹색건축 인증등급별 평가항목 득점에 관한 연구)

  • Hwang, Seonyoung;Tae, Choonseob;Shin, Ucheol
    • Journal of the Korean Solar Energy Society
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    • v.36 no.5
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    • pp.9-18
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    • 2016
  • G-SEED(Green Standard for Energy and Environmental Design) is the certification system to evaluate environmental friendliness of buildings for the purpose of reducing environmental burden generated from the entire process of buildings, which is classified into 4 grades according to the evaluated score. Green building certification rule regulate to get over green 2nd grade for the public office buildings of $3000m^2$ or more. However, detailed measures on the applied level of each issue to obtain targeted certification grade have not been prepared yet. For each issue, the score distribution and the ratio of score in proportion to credit were analyzed by certification grade for office buildings which get the G-SEED certification. And applied level of issues were presented for each certification grade.

Comprehensive evaluation of baseball player's offensive ability by use of simulation (시뮬레이션을 통한 프로야구 타자들의 공격능력의 종합적인 평가)

  • Kim, Nam Ki;Kim, Sun Ho
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.4
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    • pp.865-874
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    • 2015
  • This research is to comprehensively evaluate offensive abilities of baseball players who are expected to produce as many runs as possible by their hitting and running. To this end, we establish a simulation program to obtain the so-called scoring index of an individual player. The scoring index of a player is defined as an expected number of runs scored by an imaginary team that is composed of nine copies of the player. As a simulation input, we use 2014 season data of Korean pro-baseball. As a result, we present the scoring indices of top 10 players, 9 Korean pro-baseball teams, and overall 2014 season. The scoring index can serve as a comprehensive evaluation of offensive ability of a player or a team, selection of players for a (national) team or for a starting line-up, estimation of player's worth, and so on.

A Study on the Analysis about Assessment Criterion of the Green Building Certificate of School Facilities through the Case (학교시설의 녹색건축인증 사례를 통한 평가부문별 분석 연구)

  • Kim, Jae-Young;Lee, Jong-Kuk
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.14 no.3
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    • pp.1-8
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    • 2015
  • This study has certified green school facility into a target of 10 cases, and obtain a certificate of our own sector application, and scoring rate of Green Building Certification Analyze problems is derived. The study in Green Building Certification by School Facilities through the plan is aimed at providing basic data for designers and associated personnel. This study of Eco-friendly School Buildings and subsequent certification review and evaluation based on the study improved through active to expect.

Estimation of FIP coefficient in Korea professional baseball (한국프로야구에서 FIP 계수의 추정)

  • Lee, Jangtaek
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.625-633
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    • 2017
  • Fielding Independent Pitching (FIP) is a statistic that measure pitcher performance by eliminating plate appearance outcomes that involve defensive play. FIP uses pitcher dependent outcomes such that walks, strikeouts, hit by pitches, and home runs allowed. The FIP equation derived from linear weights uses three coefficients 13, 3, -2 for evaluating Major League Baseball pitchers. However, these coefficients derived from run value of major league baseball are not suitable to Korea Baseball Organization pitchers due to baseball circumstances. In this study, new FIP called kFIP for Korea Baseball Organization pitchers are provided. We recalculate coefficients and get 14, 3, -1 for evaluating Korean Baseball pitchers. As a result, kFIP is statistically significantly better than FIP at predicting pitcher ERA in KBO League.

Configuration of PID tuning simulator for evaluation of marine engineer's ability (기관사의 해기능력 평가용 PID 제어 튜닝 시뮬레이터의 구성)

  • Choi, Soon-Man
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.8
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    • pp.1268-1274
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    • 2009
  • Various evaluation systems using simulators have been adopted widely for the purpose of training and examination, including marine engineering education area. This paper suggests a PC based evaluation scoring system for simulators where the operation ability of machineries and background knowledges of trainees or examinees are able to be assessed relatively. The scores are based on the 100 point resulted from their responses for a given evaluation scenario under a PID tuning simulation. The mistakes they make during the operation time are integrated firstly to get error sum, and the error sum is transformed secondly to 100 point score according to a formula where the knowledge level of examinee's groups can be compensated and considered reasonably. The implementation result of evaluation system for the given control loop is described and analyzed to show the effectiveness of the suggested configuration as an evaluation tool.

Performances analysis of football matches (축구경기의 경기력분석)

  • Min, Dae Kee;Lee, Young-Soo;Kim, Yong-Rae
    • 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.

AHP를 이용한 CMS 평가방법에 관한 연구

  • 고일상;김병주;이철승
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2002.11a
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    • pp.440-449
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    • 2002
  • 본 연구는 최근 그 시장규모와 수요가 급격히 증가하고 있는 CMS의 평가방법론을 개발하기 위한 목적으로, CMS와 IT솔루션 평가이론에 대하여 고찰하여, CMS의 평가항목을 크게 '솔루션 특성', '공급벤더 역량', '구매업체 환경적합성'의 대항목으로 분류하고, '컨텐츠 관리기능', '비즈니스지원기능', '기술성', '경제성', '벤더수준', '서비스', '사후관리', '정보화계획적합성', '정보화설비적합성', '조직/인적자원적 합성'의 총 10가지 세부항목을 정의하였다. 또한 AHP 기법을 통하여 각 평가항목의 가중치를 결정하고, 과거 단순가중치법을 이용하여 도입된 CMS구매과정에 대한 사례연구를 실시하였다. 결과적으로 각 솔루션의 순위는 똑같이 결정되었으나, 과거 단순가중치법에 의해 산출된 각 솔루션의 득점비율과 본 사례연구를 통하여 도출된 상대적 선호도는 수치상 큰 차이가 존재하였다. 그 차이는 평가항목과 방법상의 차이에 의한 당연한 결과이지만, 솔루션의 선정이라는 중차대한 의사결정문제를 해결함에 있어, 보다 객관적이고 과학적인 방법론을 이용하여야 함을 시사하고 있다.

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