• Title/Summary/Keyword: 득점률

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Analysis of Sustainability of Hospital Based on Average Achieved Rate in LEED-HC Credits (LEED-Healthcare 세부항목의 평균득점률을 통한 병원의 친환경성 분석)

  • Kang, Jeeeun
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.26 no.1
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    • pp.29-37
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    • 2020
  • Purpose: The purpose of the research is to find difficulty levels of LEED credits in each LEED level based on credits achievement in order to find important of LEED-HC credits to gain LEED-HC. Methods: The individual credits of LEED-HC v.2009 scorecards from USGBC website are analyzed. With achieved scores rate of LEED credits per each Level, all credits are reassembled in 4 different ranges (A~D); easy (A), easy-moderate (B), moderate-hard (C) and hard (D) to achieve scores. Results: 1) Achieved point rate in LEED-HC specific credits are low. These credits need to be reviewed carefully. 2) In 88 projects, 37 projects are gained Silver level which is more than projects in certification level. In order to encourage to gain LEED-HC level, Average Achieved rate to earn Certificate level needs to be risen. 3) Credits in range D rarely affect to gain platinum level. EAc1 (24 points) are critical to gain Silver and Gold level. However, EAc1 points are not effective to achieve Certificate level. Implications: This research will provide a fundamental back data to set up Korean Green building rating system for Healthcare.

Smart Basketball Device Design for Improving Shooting Success Rate (슈팅 성공률 개선을 위한 스마트 농구공 설계 연구)

  • Lee, Hyung-Ju;Kim, Soo-Hyun
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.107-112
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    • 2021
  • The purpose of this to study a more accurate scoring method in accordance with the change in the game due to the fast-break and external shots of modern basketball. We will make to design and develop a smart basketball device with a digital pressure sensor. The basketball is a sport that combines complex techniques such as dribbling, passing, and shooting, and the game wins or loses with the most goals in all sports on the planet. In particular, shooting, which determines the win or loss of a game, is the technique that is most directly linked to the score, so the angle of projection is important to make a more accurate shooting. The purpose of this to develop an assistive device in order for the player to have a certain shooting rhythm by measuring the throw angle through a sensor that can measure the throw angle of the ball during shooting. This smart basketball device, it is possible to increase the accuracy of shooting through a certain throw angle at the basketball game field or during shooting practice, and accordingly, the performance can be expected to improve.

Analysis of Handball Strategies of World Top Class Team to Prepare Tokyo2021 Olympic games (2021년도 도쿄올림픽 대비 세계 상위권 여자핸드볼 전력분석)

  • Kang, Yong-Gu;Kim, Hyun-Tea;Kwak, Han-Pyong
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.359-365
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    • 2020
  • The purpose of this study was to collect and analyze information on the major scoring paths, success rate by shooting type, assist, steal, block, and goalkeeper defense rate by shooting type in the 2019 World Women's Handball Championship. Based on the research results, the following conclusions were drawn. First, as a result of the analysis of the scoring route, 1st the Netherlands and 2nd Spain had 6m shots and 7m shots the most. Second, in the success rate analysis results by shooting type, the top 6 teams showed 7m shot, breakthrough shot, and fast shot. Third, according to the result of assist frequency analysis, the fourth place in the competition Norway scored the most assists among the six teams. Fourth, as a result of the steel frequency analysis, Norway scored the most with 5.2 on average among the six teams. Fifth, as a result of analyzing the goalkeeper defense rate by shooting type, it was found that all 6 team's goalkeepers had the highest defense against 9m shooting. Therefore, for an in-depth analysis of the game strategy, it is considered that it is necessary to understand the characteristics of individual player's performance and collect information will be followed by a follow up research in the future.

Statistical Analysis of Soccer Game

  • Lim, Bee-Oh;Chung, Chul-Soo;Shin, In-Sik;Yoon, Jae-Man
    • Korean Journal of Applied Biomechanics
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    • v.13 no.3
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    • pp.231-239
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    • 2003
  • 본 연구의 목적은 2002년 한 일 월드컵에서 우승을 차지한 브라질의 7경기를 대상으로 축구 경기를 분석하는 것이다. 본 연구에 사용된 경기 분석용 비디오테이프는 FIFA에서 인정한 공식 중계방송사인 한국방송공사(KBS)의 중계 자료를 사용하였다. 본 연구의 통계 처리는 SPSS프로그램을 이용하여 상관관계분석(Pearson Correlation)을 실시하였다. 본 연구를 통한 결론은 다음과 같다. 첫째, 브라질 팀은 득점할 수 있는 비율이 높은 수비에서 최종공격수로 바로 연결되는 역습에 의한 공격(20.0%), 미더필드를 통한 빠른 공격(20.0%), 세트 플레이에 의한 공격(15.5%), 공격지역에서 볼을 뺏은 후 공격(18.5%)으로 다양한 공격 전술을 구사하여 상대 팀보다 많은 득점기회를 얻었다. 둘째, 브라질 팀은 골키퍼를 제외한 전 선수의 볼 소유 횟수가 비슷하게 나타나서, 전 선수가 고르게 활약했다. 경기의 질을 나타내는 지수인 인덱스에서는 수비수 중에는 중앙 수비수가 3.3, 미드필더 중에는 왼쪽 중앙 미드필더가 5.0, 공격수 중에는 중앙 공격수가 1.4로 포지션별로 제일 높게 나타나서 경기에서 중요한 역할을 수행하였다. 셋째, 브라질 팀은 세트플레이 성공률과 공격지역에서의 볼 점유율의 증가를 통하여 골당공격성공률을 높인 것으로 나타났다.

Analysis of Scoring Status and Adoption Characteristics by Evaluation Items based on LEED Canada Certified Cases (LEED Canada 인증건축물의 평가항목별 득점현황과 적용특성 분석)

  • Choi, Dong-Ho
    • Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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    • v.12 no.6
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    • pp.655-668
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    • 2018
  • This paper analyzes the applicability and technology level of the green building element technology by analyzing the scorecard of the LEED Canada certified buildings. The results of this analysis will be able to evaluate the current status and level of application of green building element technology, and it will be used as a basic data to prepare for the revision of the certification standards and the establishment of strategies for the future green building activation. In this study, 1,010 LEED Canada certified buildings from 2011 to 2016 were analyzed. The results were analyzed by focusing on the status of greening by certification category and the characteristics of adoption by sub-category. The results of the study are summarized as follows. (1) EA category showed the biggest difference between the certification scores and the adoption rates than other categories, and it was confirmed that it is not easy category from the viewpoint of practical adoption. On the other hand, the ID (Innovation & Design Process) and WE were analyzed to be relatively easy to apply, with a score of over 72%. (2) In the case of Platinum class, the upper adoption rate is shown in all categories except MR. The Gold class shows the adoption rate of WE and ID in the top, and the middle rate in most categories. Silver grades showed lower rates in the three categories except WE, ID and EQ. Certified grades showed the adoption rates of the bottom except the two categories.

Convergence characteristics of Pythagorean winning percentage in baseball (야구 피타고라스 승률의 수렴특성)

  • Lee, Jangtaek
    • 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.

Selecting the Batters of National Baseball Squad using Data Envelopment Analysis (DEA를 이용한 야구 국가대표단의 타자 선발에 관한 연구)

  • Suk, Yeung-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.1
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    • pp.165-172
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    • 2014
  • The purpose of this paper is to identify whether the national baseball squad made up of the best players may get the outstanding results in the international competitions or not. Using Data Envelopment Analysis, the relative efficiency of players in Korean Baseball Organization is estimated as performance measure, and compared with the efficiency scores of national squad members. The paper focuses on the proper choice of DEA model in a baseball setting, thereby selecting the BCC model with non-discretionary variable. Two input variables(plate appearances and stolen bases to enforce) and three output variables(runs, on-base plus slugging and stolen base percentage) are used to evaluate the efficiency of the baseball players. Results showed that 22 players among 97 players were classified as efficient and 8 players among 12 national squad members were as efficient. These findings indicate a potential for DEA to be a major part of the analytical approaches in evaluating the relative efficiency of players.

Analysis of cycle racing ranking using statistical prediction models (통계적 예측모형을 활용한 경륜 경기 순위 분석)

  • Park, Gahee;Park, Rira;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.30 no.1
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    • pp.25-39
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    • 2017
  • Over 5 million people participate in cycle racing betting and its revenue is more than 2 trillion won. This study predicts the ranking of cycle racing using various statistical analyses and identifies important variables which have influence on ranking. We propose competitive ranking prediction models using various classification and regression methods. Our model can predict rankings with low misclassification rates most of the time. We found that the ranking increases as the grade of a racer decreases and as overall scores increase. Inversely, we can observe that the ranking decreases when the grade of a racer increases, race number four is given, and the ranking of the last race of a racer decreases. We also found that prediction accuracy can be improved when we use centered data per race instead of raw data. However, the real profit from the future data was not high when we applied our prediction model because our model can predict only low-return events well.

A Study on the Competition of the World Women's Handball Championship Using Bigdata : Focused on the top 5 teams of the 2007-2019 World Women's Handball Championship (빅데이터를 활용한 여자핸드볼선수권대회 전력 비교 연구 -2007~2019년 세계여자핸드볼선수권대회 상위 5개팀과 대한민국을 중심으로-)

  • Kang, Yong-Gu;Kwak, Han-Pyong
    • Journal of Industrial Convergence
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    • v.19 no.1
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    • pp.147-158
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    • 2021
  • This study was conducted seven times from 2007 to the 2019 Women's World Handball Championships to analyze and strengthen the strength of the Korean women's handball team through the analysis of the top five countries' strengths. Among the 41 national teams participating in the World Women's Handball Championship, a total of five national teams, including the Netherlands, Norway, Russia, Spain, and France, were selected for the final study. Among the records provided by the International Handball Federation (IHF), the ranking was selected by analyzing the competition records of 41 participating countries, and technical statistics and frequency analysis were conducted using the SPSS/PC+ Ver21.0 program. based on the accumulated records of the top five women's handball competitions, handball attack and defense strategies that can make up for the inferiority in future physical conditions are needed and detailed follow-up studies are needed. Also, we hope to use it as a basic resource for improving the performance of Korean women's handball players and to play a key role in enhancing the level of women's handball at the 2021 Tokyo Olympics.