• 대한교통학회:학술대회논문집
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• 대한교통학회 1998년도 Proceedings The 4th International Transport Symposium
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• pp.91-99
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• 1998

Generally, the tons lifted and ton-kilometers are widely used to analyze the road freight transport. However, these two indicators are simply to show the road freight transport statistics rather than to explain the road freight transportation systems. In this study, the variables such as the number of distribution channel levels, the integral distance, tons in transport and the average transport distance are defined and estimated to investigate the road freight transport system of Korea. In order to compare the road transport system of Korea to other countries, the comparative study was conducted including USA, Japan, Holland and Taiwan. The major findings of this study are as follows; i) The number of distribution channel levels and integral distance of Korea and Taiwan have been increased, but the average transport distance decreased from 1971 to 1996 period. ii) On the contrary to Korea case, the number of distribution channel levels and integral distance of US, Japan and Holland have been decreased, but the average transport distance increased. iii) In the time-series model analysis shows that the number of distribution channel levels are statistically positively closely related to the logistics costs and the costs of transportation as a percentage of GDP.

• Journal of applied mathematics & informatics
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• 제27권5_6호
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• pp.1429-1433
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• 2009

The likelihood distance for the joint distribution of two multivariate normal distributions with common covariance matrix is explicitly derived. It is useful for identifying outliers which do not follow the joint multivariate normal distribution with common covariance matrix. The likelihood distance derived here is a good ground for the use of a generalized Wilks statistic in influence analysis of two multivariate normal data.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.85-87
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• 2000

In pattern classification, the Bhattacharyya distance has been used as a class separability measure and provides useful information for feature selection and extraction. In this paper, we propose a method to predict the classification error for multimodal data based on the Bhattacharyya distance. In our approach, we first approximate the pdf of multimodal distribution with a Gaussian mixture model and find the bhattacharyya distance and classification error. Exprimental results showed that there is a strong relationship between the Bhattacharyya distance and the classification error for multimodal data.

• 조명전기설비학회논문지
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• 제25권9호
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• pp.44-49
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• 2011

Due to increase of fault current, various superconducting fault current limiter (SFCL) are researched. We studied a power distribution system with SFCL. Along the way, we knew characteristics of fault current according to a distance from substation to fault point. Fault current is reduced by distance`s increase from substation. Also, SFCL.s effects are decreased by distance too. Therefore, we analyzed the fault current by a distance from substation to fault point when a SFCL was applied into a power distribution system. We simulated using a PSCAD/EMTDC.

• Genomics & Informatics
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• 제18권1호
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• pp.7.1-7.7
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• 2020

In this paper, we present few technical notes about the distance distribution paradigm for Mosaab-metric using 1, 2, and 3 grams feature extraction techniques to analyze composite data points in high dimensional feature spaces. This technical analysis will help the specialist in bioinformatics and biotechnology to deeply explore the biodiversity of influenza virus genome as a composite data point. Various technical examples are presented in this paper, in addition, the integrated statistical learning pipeline to process segmented genomes of influenza virus is illustrated as sequential-parallel computational pipeline.

• 한국전자통신학회논문지
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• 제3권4호
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• pp.276-281
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• 2008

배전계통은 여러 가지 이유로 잦은 고장을 경험하기 때문에 고장위치 추정은 전력공급 신뢰도 측면에서 매우 중요하다. 그렇지만 배전계통은 주 선로에서 분기되는 3상 및 단상 분기선을 가지는 수지상 구조로 설계되며 각 구간 상에 수개의 로드 탭을 가지기 때문에 고장점 표정이 어렵다. 따라서 본 연구에서는 기존의 전력계통 고장점 표정기법에 대해서 조사, 분석하여 배전자동화시스템의 중앙제어장치에서 효과적으로 실행할 수 있는 고장거리 계산 기법을 결정한다. 그리고 EMTP 모의 결과를 통해 결정된 방법의 유효성을 검증한다.

• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.607-617
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• 2012

The goodness-of-fit test for multivariate normal distribution is important because most multivariate statistical methods are based on the assumption of multivariate normality. We propose goodness-of-fit test statistics for multivariate normality based on the modified squared distance. The empirical percentage points of the null distribution of the proposed statistics are presented via numerical simulations. We compare performance of several test statistics through a Monte Carlo simulation.

• Nuclear Engineering and Technology
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• 제33권3호
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• pp.270-282
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• 2001

A simple measure of uncertainty importance based on normalized metric distance to quantify the entire change of cumulative distribution functions (CDFs) has been developed for use in probability safety assessments (PSAs). The metric distance measure developed in this study reflects the relative impact of distributional changes of inputs on the change of an output distribution, white most of the existing uncertainty importance measures reflect the magnitude of relative contribution of input uncertainties to the output uncertainty. Normalization is made to make the metric distance measure a dimensionless quantity. The present measure has been evaluated analytically for various analytical distributions to examine its characteristics. To illustrate the applicability and strength of the present measure, two examples are provided. The first example is an application of the present measure to a typical problem of a system fault tree analysis and the second one is for a hypothetical non-linear model. Comparisons of the present result with those obtained by existing uncertainty importance measures show that the metric distance measure is a useful tool to express the measure of uncertainty importance in terms of the relative impact of distributional changes of inputs on the change of an output distribution.

• ETRI Journal
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• 제33권2호
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• pp.283-286
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• 2011

Path loss plays fundamental roles in system design, spectrum management, and performance evaluation. The traditional path loss model has a slight inconvenience; it depends on the unknown distance. In this letter, we explore the probability distribution function (PDF) of path loss in an indoor office environment by randomizing out the distance variable. It is shown that the resulting PDF is not Gaussian-like but is skewed to the right, and both the PDF and the moments are related to the size of the office instead of the unknown distance. To be specific, we incorporate the IEEE 802.15.4a channel parameters into our model and tabulate the cumulative distribution function with respect to different room sizes. Through a simple example, we show how our model helps a cognitive spectrum user to infer path loss information of primary users without necessarily knowing their transmitter-receiver distance.

• 한국해안·해양공학회논문집
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• 제21권6호
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• pp.495-507
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• 2009

케이슨 방파제의 사용년수 동안의 기대활동량은 방파제의 안정성 평가 기준으로서 한계점이 있다. 기대활동량은 사용년수 동안의 모의 활동량의 평균으로 계산되기 때문에 실제 활동량은 평균을 초과할 가능성이 있다. 이를 극복하기 위해 허용활동량에 대한 초과확률을 산정하여 안정성을 평가하였다. 초과확률을 산정하기 위해 Latin Hypercube sampling과 Crude Monte Carlo simulation을 사용하였다. 또한 확률변수의 분포함수로 정규 분포가 가지는 단점을 해결하기 위해 이중절단정규분포를 사용하였다. 정규분포를 사용한 경우의 모든 한계상태에서 옥계항, 화순항, 동해 NI의 보강 전 단면은 불안정한 것으로 평가되었다. 한편, 이중절단정규분포를 적용한 경우에서 보수가능 한계상태의 화순항과 모든 한계상태의 동해 NI의 보강 전 단면만 불안정한 것으로 해석되었다. 결론적으로 안정성 평가 기준으로 기대활동량이 가지는 단점을 발견하였고 허용활동량에 대한 초과확률을 이용하여 국내 케이슨 방파제의 활동에 대한 안정성을 합리적으로 평가하였다.