• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.277-282
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• 2019

This study was conducted to compare the lap time of high school boys' K-2 1000m final at the $99^{th}$ National Sports Festival with the lap time of the World Championship final held in 2018 and to find an optimal pacing strategy to enhance the performance. The high school boys' average final record was 242.89 seconds, and the top international's 199.58 seconds. There was 43 seconds difference in records and by lap-time it were 9, 12, 9, and 13 seconds behind every 250m. World Championship players used the Super Fast-Even Pacing-Even Pacing-Spurt strategy. The $1^{st}$ to $3^{rd}$ ranked high school boys used Slow-Fast-Super Slow-Super Fast strategy, and $4^{th}$ to $9^{th}$ ranked boys used Fast-Slow-Fast-Slow strategy. The high school boys need to modify their pacing strategies to achieve world-class performance.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.489-495
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• 2018

The purpose of this study was to investigate the effect of fouls on performance in field hockey games. A total of 33 matches and 2101 fouls from 10 teams participated in the 2017 World League SEMI-FINAL tournament were analysed by region, race, type, and cause. The total data that is analysed by SportsCode and SPSS(correlation analysis & chi-square test)have showed that the top ranked countries had a higher foul frequency than the lower ranked nations. According to the situation that has showed the result of the analysis, it showed that there was no difference between the results analysed on the foul type and the attacking and defence situation but it has indicated that area, game situation and the cause of fouls showed there was a significant difference. On these results, it is hoped to use fouls as one of the tactical means in women's field hockey games.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.364-368
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• 2021

This study was conducted to investigate the relationship between performance level and ego orientation and task orientation, which are sub-factors of achievement goal orientation, targeting the Korean youth badminton national team. Accordingly, two null hypotheses were established and tried to verify that there would be no difference in ego orientation and task orientation according to the performance level of the badminton youth representative players. A total of 92 middle and high school students were divided into upper and lower performance groups, and the differences between ego orientation and task orientation were investigated, respectively. For the measurement, We used sports achievement goal orientation (task and ego orientation in a sports questionnaire, TEOSQ). Data were analyzed by performing frequency analysis, reliability analysis, and independent t-test. As a result, there was no statistically significant difference in both the ego orientation and task orientation between the upper and lower groups of performance. We discussed based on the research results.

• 한국IT서비스학회:학술대회논문집
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• 2003.11a
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• pp.309-315
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• 2003

최근 경기침체에 다른 여파로 중소기업의 경기동향은 나날이 악화되고 있는 추세이다. 소비심리 위축과 수출 여건 악화로 부도율이 높아지고, 향후 경기전망도 불투명해 기업경영에 이 중고를 겪고 있다. 그러나 전반적으로 중소기업의 경기동향이 좋지 않은 상황에서 정보화 수준에 따라 업종별로 가동률, 생산지수를 비교한 결과 정보화 수준이 높은 업종이 여타 업종에 비해 상대적으로 경기침체의 영향을 적게 받은 것으로 나타났다. 실제로 정보화 수준이 중소기업의 경영성과에 어떤 영향을 미치는지를 알아보기 위해 3가지 실증분석 모형을 통해 분석해본 결과, 1인당 매출액, 총매출액, 개인업무개선, 기업업무개선, 조직의 유연성, 대외환경 적응력 등 기업 내외부 전반에 걸쳐 유의적으로 긍정적인 영향을 미치는 것으로 나타났다. 즉, 정보화 수준 향상이 기업 경쟁력에 미치는 효과가 크므로 생산성 향상을 통해 경기침체기를 극복하기 위해서라도 경기 호황기는 물론 불황기에도 정보화 투자에 소홀히 하면 안된다는 것을 보여준다.

• The Journal of shipping and logistics
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• v.35 no.1
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• pp.93-109
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• 2019

This study applied the statistically significant factors to the short-run model in the existing nonlinear long-run equilibrium relation analysis for the forecasting of maritime economy using the mixed cycle model. The most common univariate AR(1) model and out-of-sample forecasting are compared with the root mean squared forecasting error from the mixed-frequency model, and the prediction power of the mixed-frequency approach is confirmed to be better than the AR(1) model. The empirical results from the analysis suggest that the new approach of high-level mixed frequency model is a useful for forecasting marine industry. It is consistent that the inclusion of more information, such as higher frequency, in the analysis of long-run equilibrium framework is likely to improve the forecasting power of short-run models in multivariate time series analysis.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.179-183
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• 2020

Seligman argues that an optimistic athlete wins based on a study of US professional baseball and professional basketball players.(trans. Choi, 2008). So, the purpose of this study was to investigate whether optimism can predict the performance of badminton youth representatives. 60 high school students were divided into two groups according to their performance. We used the revised Life Orientation Test (LOT-R) developed by Scheier, Carver and Bridges(1994) and translated into Korean version by Shin Hyun-sook(2005). For this study, the data were analyzed by frequency analysis, reliability analysis, and independent t - test. As a result, there was a statistically significant higher level of optimism in the excellent group than in the non-excellent group. So, in order to improve sports performance, we need psychological skills training that can improve optimism as well as physical training and skills training.

• Economic Analysis
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• v.26 no.3
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• pp.1-47
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• 2020

This paper surveys research since the 1990s on the ability of the yield spread and its components (i.e., expectation spread and term premium components) for future economic activity, and also conducts an empirical analysis of their forecasting ability using the yield data of Korean government bonds. This paper's survey, particularly for the US, shows that the yield spread has significant predictive power for some macroeconomic variables, but since the mid-1980s, its predictive power seems to have declined, possibly due to stronger inflation targeting. Next, this paper's empirical analysis using Korean data indicates that the yield spread, and the term premium component in particular, has significant predictive power for industrial production (IP) growth, consumer price index growth, and the IP gap. An out-of-sample analysis shows that the prediction equations are unstable over time, and that in predicting IP growth, the yield spread decomposition makes a significant contribution to the prediction of IP growth.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.392-397
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• 2010

The purpose of this study was to examine the effects of self management and mental power on athletic performance. To attain the goal of the study some athletics of D city physical education middle school, high school, University in D city. Then, using the physical education middle and high school were complete collection, and University were random sampling method, finally drew out and analyzed 353 athletics in total. Data collected through a questionnaire designed for this study consist of fixed alternative choice response to items constructed to represent the operational definition for each variable. Statistics employed for data analysis was correlation and regression. Based upon the results of the study, the following conclusions appear warranted: 1. Self management influence on athletic performance. 2. Mental power influence on athletic performance.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.489-494
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• 2015

The purpose of this paper is to analyse outcomes of Korean Pro-basketball games using regression models. Both Classic Fuzzy Regression Model and Fuzzy Regression Model applying linguistic variables were used to meet the purpose of the paper. In General Regression Analysis, in which the results of games are expressed and analyzed through score differences, a regression model is proposed considering influential variables for the score differences of the two teams. In Fuzzy Regression Analysis, the results are sorted into six different literal expressions, 'win with large margin, win with moderate margin, win with narrow margin, defeat with narrow margin, defeat with moderate margin, and defeat with large margin'. Athletic performances and team work of each teams were expressed in fuzzy number to analyse how much athletic performances and team work affect results of games. This paper referred back to 2013-2014 season data provided by KBL(Korean Basketball League) and professional columns on Korean basketball analysis.

• The Korean Journal of Financial Management
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• v.19 no.2
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• pp.233-251
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• 2002

본 연구는 우리나라를 대상으로 장단기 스프레드와 신용스프레드가 경기변동에 대해 어떠한 예측력을 갖고 있는가를 살펴보았다. 이를 위해 1991년부터 2001년까지를 분석기간으로 하여 Probit 분석을 통해 금리스프레드와 경기변동과의 시차 및 불황확률을 추정하여 평가해 보았으며, 인과관계 검정을 시도해 보았다. 우선 금리스프레드와 경기변동에 대한 불황확률을 알아보기 위해서 Probit 모형을 이용하여 불황확률을 추정하였다. 그 결과 장단기 금리스프레드 중에서는 5년 만기 1종 국민주택채권수익률-콜금리(HCS)는 3개월, 5년 만기 1종 국민주택채권수익률-1년 만기 금융채수익률(HGS)은 7개월, 5년 만기 1종 국민주택채권수익률-1년 만기 통안증권수익률(HMS)은 9개월의 시차를 보이는 경우가 Pseudo $R^2$ 값이 가장 높게 나타났지만 불황확률을 토대로 경기 호황과 불황 국면을 비교해 본 결과 HMS는 Pseudo $R^2$의 값도 상대적으로 높았을 뿐만 아니라 매우 높은 경기변동 예측력을 보여주었다. HCS와 HGS의 경우에는 IMF 체제 전후의 불황기와 그 이후에 도래한 호황기는 예측력이 높게 나타났으나 1990년대 초반에는 제대로 불황확률을 예측하지 못하는 것으로 나타났다. 또한 3년 만기 회사채수익률-5년 만기 국민주택채권수익률(CHS)와 3년 만기회사채수익률 -3년 만기 금융채수익률(CGS)로 나타낸 신용 스프레드에서는 유의적인 결과를 도출하지는 못하였다. 한편 인과관계에서도 HCS, HGS, HMS 등의 장단기 스프레드는 경기변동에 대하여 일방적 원인변수로 작용하는 것으로 나타나 선행결합관계를 보여주었으나 CHS, CGS 등의 신용스프레드는 경기변동과 어떠한 유의적인 결합관계도 보여주지 못하였다. 따라서 장단기 스프레드는 경기변동을 예측하는데 유용한 정보를 제공하지만 신용스프레드는 경기변동을 예측하는데 도움을 주지 못하는 것으로 나타났다.