• Journal of the Earthquake Engineering Society of Korea
• /
• v.8 no.5 s.39
• /
• pp.91-99
• /
• 2004

In general, stadium structure with long span has low inherent natural frequency. In the stadium structure, structural behavior similar to resonance can be occurred easily by spectator rhythmical movements of which exciting period is small comparatively. It is required to investigate the safety and the serviceability of stadium structure. Therefore, there exists a necessity for accurate vibration analysis. Accurate analysis of stadium structure subjected to dynamic load is required for economical construction and safe design of stadium structure. Stadium structure should be modeled by refined mesh for accurate vibration analysis. As the mesh of stadium structure is refined, the number of divided elements increases in numerical analysis. The number of node is increased and numerous computer memories or computational time are required. So it is very difficult to analyze refine model of stadium structures by using the commercial programs. It is possible to efficient vibration analysis of stadium structure by finite element modeling method using equivalent beam element proposed in this paper, because the number of nodes is decreased remarkably.

• KDI Journal of Economic Policy
• /
• v.29 no.1
• /
• pp.177-196
• /
• 2007

This paper investigates the cyclical patterns of buffer capital using an unbalanced panel data for the banks in 30 OECD countries and 7 non-OECD Asian countries. We test whether the relationships between buffer capital and business cycle are systematically different across country groups controlling for other potential determinants of bank capital. We find that the correlation is positive for developed countries while it is negative for Asian developing countries. These findings suggest that, once Basel II is implemented, developing countries are more likely to observe an increase in output volatility. We then review the policy recommendations to mitigate the procyclicality problem of Basel II.

• Journal of the Korean association of regional geographers
• /
• v.15 no.6
• /
• pp.774-788
• /
• 2009

This research analyzed the relative efficiency of 27 local governments' aged welfare institutions and facilities in Gyeonggi-do Province by using Data Envelopment Analysis. The results show that 12 local governments' aged welfare institutions are relatively inefficient as compare to their reference groups, meaning that there is efficiency gap among localities. It also appears that the most influential input and output elements are the budget for the aged and the number of the aged welfare institutions and facilities, relatively. However, the influential elements differ from one locality to another.

• International Area Studies Review
• /
• v.12 no.3
• /
• pp.217-239
• /
• 2008

The purpose of this paper examines the way the potential for increased procyclicality may arise in Korea according to the introduction of Basel II based on the empirical results of U.K. and Spain. Because of the limited retail banking data, the correlations between risk-weighted assets corresponding to the denominator of the capital ratio and procyclicality, and capital ratio and the procyclicality are analyzed in Korea. As a result, there is a high possibility that the procyclicality may occur in Korea. However, there are limitations in judging the existence of the procyclicality for the capital in Korea only based on those correlations. In the future, in case more of retail banking data are accumulated, the procyclicality in Korea should be examined based on the systematic model like the cases in England and Spain. Lastly, the policy implications are derived based on the calculation process of the regulatory capital(Pillar I), the process of the Financial Authorities(Pillar II), and the market discipline(Pillar III).

• Knowledge Management Research
• /
• v.24 no.2
• /
• pp.241-262
• /
• 2023

The phenomena and game records that occur in sports matches are being analyzed in the field of sports game analysis, utilizing advanced technologies and various scientific analysis methods. Among these methods, social network analysis is actively employed in analyzing pass networks. As football is a representative sport in which the game unfolds through player interactions, efforts are being made to provide new insights into the game using social network analysis, which were previously unattainable. Consequently, this study aims to analyze the changes in pass networks over time for a specific football team and compare them in different scenarios, including variations in the game's nature (Qatar World Cup games vs. A match games) and alterations in the opposing team (higher FIFA rankers vs. lower FIFA rankers). To elaborate, we selected ten matches from the games of the Korean national football team following Coach Bento's appointment, extracted network indicators for these matches, and applied four indicators (efficiency, cohesion, vulnerability, and activity/leadership) from a football team's performance evaluation model to the extracted data for analysis under different circumstances. The research findings revealed a significant increase in cohesion and a substantial decrease in vulnerability during the analysis of game performance over time. In the comparative analysis based on changes in the game's nature, Qatar World Cup matches exhibited superior performance across all aspects of the evaluation model compared to A matches. Lastly, in the comparative analysis considering the variations in the opposing team, matches against lower FIFA rankers displayed superior performance in all aspects of the evaluation model in comparison to matches against top FIFA rankers. We hope that the outcomes of this study can serve as essential foundational data for the selection of football team coaches and the development of game strategies, thereby contributing to the enhancement of the team's performance.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.7
• /
• pp.135-142
• /
• 2020

Basketball is a highly complex sport, analyses offensive and defensive rebounds, free throw percentages, minutes played and an efficiency rating. These statistics can have a large bearing and provide a lot of pressure on players as their every move can be analysed. Performance analysis in sport is a vital way of being able to track a team or individuals performance and more commonly used resource for player and team development. Discovering information such as this proves the importance of these types of analysis as with post competition video analysis a coach can reach a far more accurate analysis of the game leading to the ability to coach and correct the exact requirements of the team instead of their perceptions. A significant difference was found between winning and losing performances for different types of turnovers supporting current research that states that turnovers are not a valid predictor of match outcomes and that there is no specific type of turnover which can predict the outcome of a match as briefly mentioned in Curz and Tavares (1998). Significant differences were found between winning and tied and losing and tied performance for some types of turnovers, however due to the lack of data collected in this area they cannot be considered valid. Further research could also be conducted in other areas relating to performance indicators where there is currently minimal research in some areas such as assisted baskets, stated about the performance indicators in their own study the performance indicators are inadequate for explaining the complexities of the game suggesting that one indicator will not be constant in every game an research into performance analysis areas would be more appropriate.

• Proceedings of the Korea Contents Association Conference
• /
• 2019.05a
• /
• pp.221-222
• /
• 2019

본 연구의 목적은 지역밀착금융기관 중 하나인 새마을금고를 대상으로 DEA 모형을 활용하여 효율성을 평가하는 것이다. 이를 위해 국내 지자체 중 가장 많은 조합이 있는 경기도를 대상으로 2013년부터 2016년까지의 공시자료를 수집하여 분석하였다. 분석 결과 경기지역 새마을 금고에 대한 시군별 효율성을 평가하고 이를 통해 각 지자체 간의 차이를 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.427-430
• /
• 2012

스마트폰의 내장형 3축 가속도 센서를 이용한 사용자 행위 인식은 사용자 개개인의 행위 패턴이 모두 달라 사용자에 따른 의존성이 크고, 스마트폰의 위치나 방향이 일정하게 고정되어 있지 않기 때문에 센서 데이터를 토대로 서로 다른 행위들을 정확히 분류하는데 어려움이 있다. 본 논문에서는 특정 사용자나 스마트폰의 특정 위치에 대한 의존성이 적은 효과적인 행위 인식 방식을 제안하고, 이를 기초로 안드로이드 스마트폰 기반의 실시간 행위 인식 시스템을 구현하였다. 총 6642개의 데이터 집합을 이용하여 본 논문에서 제안한 행위 인식 시스템의 사용자 의존성 및 폰 위치 의존성 분석 실험을 수행하고, 그 결과를 소개한다.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.15 no.2
• /
• pp.293-303
• /
• 2002

Recently, the use of the high strength materials and development of construction techniques have resulted in more flexible and longer spanning in the stadium systems. So the natural frequency of stadium structures are became low. Stadium stand could be led to significant dynamic response as like resonance due to spectator rhythmical activities. The accurate analysis of dynamic behavior of stadium systems and the precise investigation of the dynamic loads on stadium structures are demanded for effective design. It is desirable to apply measured dynamic loads created by spectator activities because these dynamic loads are not easy to express numerical formula. As the floor mesh of stadium stand is refined, the number of divided elements increases in numerical analysis. the rise of the number of elements makes the numbers of nodal points increased and numerous computer memory required. So it is difficult to analysis refine full model of stadium structures by using the commercial programs. In this study, the various dynamic loads induced by spectator movements are measured and analyzed. And a new modeling method that reduce the nodal points are introduced. Vibration analysis of stadium stands is executed to inspect accuracy and efficiency of proposed method in this paper.

• Journal of Korea Port Economic Association
• /
• v.32 no.3
• /
• pp.67-81
• /
• 2016

This paper examines the influence of Brexit on container volume of Korea, especially of macroeconomic variables such as exchange rate and industrial production of EU and United Kingdom. To do this, we use monthly time series data during 2000-2016, and introduce the analysis method of cointegration test and VECM, and analyze the influence of industrial production and exchange rate of EU and U.K. on container volume of Korea. The results are as follows. First, the container volume of Korea is influenced by the exchange rate and industrial production of EU in the long run. But the exchange and industrial production of U.K. influenced on only export container volume of Korea, and the influence of U.K. macroeconomic variables on container volume of Korea was not large in the long lun. Second, In the shot run, the influence of exchange rate on container volume of Korea, especially on export container volume was significant in EU and U.K. To sum up, the influence of EU macroeconomic variables on container volume of Korea is larger than that of U.K., and the influence of exchange rate variable is more significant than that of industrial production variable.