• 한국환경과학회지
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• 제32권5호
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• pp.375-384
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• 2023

Climate data were obtained over an eight-year period (July 2013 to June 2021) using an automatic weather observation system (AWS) installed at the foot of Mt. Geumo in Chilgok, Gyeongbuk. Using climate data, the statistical and meteorological characteristics of the local circulation between the Nakdong River and Mt. Geumo were analyzed. This study is based on automatic weather observation system data for Dongyeong, along with comparative climate data from the Korea Meteorological Administration (Chilgok) and the Gumi meteorological observatory. Over the eight- years, mountain and valley winds have occurred 48 times a year on average, with the highest occurring in May and the weakest winds in June and December. When mountain winds occurred, the temperature in the nearby lowland region more strongly decreased than when valley winds blew. However, the potential to use mountain winds to improve urban thermal environments is limited because mountain winds occur infrequently in summer when a drop in nighttime temperature is required.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 춘계학술대회
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• pp.49-55
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• 2003

Korea has the most level of Internet Infrastructure in the world. But, in the educational aspect, it does not have an enough foundation about Statistical Education. In this paper we consider the methods of activation about statistics. Also, we present what is the Enterprise Guide and what does it have characteristics as statistical analysis tool from educational point of view. And we suggest a new paradigm in statistical education.

• 한국신뢰성학회지:신뢰성응용연구
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• 제1권1호
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• pp.17-33
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• 2001

The characteristics of Weibull distribution are investigated as a function of shape parameter. The statistical estimation methods of the shape parameter and statistical comparison methods of two or more shape parameters are studied. Assuming Weibull distribution, statistical analysis of bending-strength data of alumina titanium carbide ceramic matrix composites machined two different methods are performed.

• Korean Journal of Mathematics
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• 제32권1호
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• pp.109-120
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• 2024

The aim of this research is to describe lacunary ∆^m-statistically convergent sequences with respect to metrics on generalised metric spaces (g-metric spaces) and to look into the fundamental characteristics of this statistical form of convergence. Also, the relationship between strong summability and lacunary ∆^m-statistical convergence in g-metric space is established at the end.

• 한국지역지리학회지
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• 제22권2호
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• pp.424-438
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• 2016

도시쇠퇴와 공동화 현상을 방지하고 침체된 지역경제를 활성화시키기 위한 새로운 도시재생 패러다임이 등장하고 있다. 본 연구는 도시재생특별법에 제시된 쇠퇴기준과 공간자기상관 탐색을 기반으로 GIS 및 공간통계기법을 활용하여 도시쇠퇴 특성을 분석하는데 그 목적을 두고 있다. 광주광역시를 대상으로 하여 도시재생특별법에 제시된 쇠퇴 기준인 인구감소, 사업체감소, 노후건축물에 관한 지표를 적용함으로써 객관성을 확보하고자 하였다. 특히 GIS와 공간 통계기법을 적용함에 있어서 공간자기상관 탐색을 통해 도시쇠퇴 특성을 분석한다는 점에서 기존의 연구와 차별성을 지닌다. 전체적인 분석과정은 도시활성화지역 지정 기준을 원용하고, 공간탐색적 절차에 따라 단계적으로 추진하였다. 따라서 본 연구를 통해 제시된 공간통계분석 절차 및 도시쇠퇴 특성 분석의 결과는 대도시권 수준에서 도시쇠퇴 진단에 기여하고, 도시재생과 관련한 공간의사결정에 유용한 정보를 제공할 것으로 기대한다.

• 대한기계학회논문집
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• 제14권5호
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• pp.1290-1299
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• 1990

본 연구에서는 이러한 개념을 확장하여 직경이 26nm와 38nm인 두 개의 수평관 내 기액 2상유동에서 오리피스의 차압교란치의 확률밀도함수, 자기상관함수와 파워 스 펙트럼 밀도함수를 구하여 유동양식에 따른 이 들 통계치의 특성을 구명하였다. 본 연구에서 다룬 유동양식은 기포, 플러그, 슬러그, 성층, 파상, 환상, pseudo-slug 유 동이다. 이 결과 차압교란치의 통계적 해석을 통한 유동양식 판별법이 매우 유용하 다는 사실을 밝혔으며, 또 본 판별법을 관내 압력강하치의 통계적 해석을 통하여 유동 양식을 구분한 타 연구자들의 방법과 비교 분석하였다.

• 대한기계학회논문집
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• 제18권3호
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• pp.635-644
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• 1994

This study investigated mainly on the flow characteristics of a droplet in the cross region of twin spray. The velocities of the droplet were measured along the axial and radial direction, and the flow characteristics of the droplet were statistically analyzed. For the statistical analysis, the probability density of the turbulent components has been studied, and then the Reynolds shear stress, the skewness and the flatness factors were calculated, and compared with the Gaussian value. Two pressure swirl stomizers were used for the twin spray system and kerosene was employed as the working liquid. 2-D PDA(particle dynamic analyzer) was used for the purpose of the measurement of droplet size and velocities. As a result, it was found that (1) the droplets collision was taken place strongly in the cross region. So, a large momentum loss of droplets due to the loss of natural movement direction was occurred, and momentum loss of radial direction was greater than that of axial direction. (2) The axial direction skewness factor approached to zero like the Gaussian distribution in the cross region of twin spray. (3) In the cross region of twin spray, the fluctuation instability of droplet was increased because of the development of the turbulence characteristics due to the droplet collision.

• 터널과지하공간
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• 제17권3호
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• pp.197-202
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• 2007

본 연구에서는 표본의 원분포 특성을 고려하여 통계처리한 경우의 설계정수와 그렇지 않은 경우를 비교하였다. 통계처리를 한 경우는 통계처리 후에도 비슷한 양상을 나타냈으며 평균값의 경우 최대 약 19%의 편차가 발생하였다. 표본의 분포 특성을 무조건 정규 분포화 하는 것은 모집단의 특성을 왜곡하게 되므로 설계정수 산정시 표본의 분포 특성을 고려하여 통계처리를 하는 것이 타당할 것으로 판단된다.

• East Asian mathematical journal
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• 제35권4호
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• pp.429-449
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• 2019

This study aims to investigate the statistical literacy of pre-service mathematics teachers and to discuss the impact of statistical literacy in lesson plan. For the purpose of this study, we analyzed 13 pre-service mathematics teachers' statistical literacy tests and lesson plans. The results of this analysis are as follows: First, pre-service mathematics teachers did not have a high level of statistical literacy, and it was also observed that there was a big level difference between them. Second, pre-service mathematics teachers' lesson plans showed significant difference in the level of the target grade, the characteristics of the target student, and the contents. Based on this study, we seek to find implications for how it is appropriate to educate teachers in charge of statistical education.

• 지질공학
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• 제24권2호
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• pp.191-199
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• 2014

We describe a method for detecting slope instability in flume tests using pore pressure and water content data in conjunction with a statistical control chart analysis. Specifically, we conducted univariate statistical analysis on x-MR control chart data (pore pressure and water content) collected at several points along the flume slope, which we separated into three parts: upper, middle, and lower. To assess our results in the context of landslide forecasting and warning systems, we applied control limit lines at $1{\sigma}$, $2{\sigma}$, and $3{\sigma}$ levels of uncertainty. In doing so, we observed that dispersion time varies depending on the control limit line used. Moreover, the detection of instabilities is highly dependent on the position and type of sensor. Our findings indicate that different characteristics of the data on various factors predict slope failure differently and these characteristics can be identified by univariate statistical analysis. Therefore, we suggest that a univariate statistical approach is an effective method for the early detection of slope instability.