• Title/Summary/Keyword: L-moment 방법

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A Study on Mixed Methods for Reduction of Large Scale System (고차 시스템의 간소화를 위한 혼합 방법들에 대한 연구)

  • Kwon, Ki Ho;Choi, Keh Kun
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.3
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    • pp.420-424
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    • 1987
  • The model reduction methods of the linear time invariant continuous systems are proposed. The energy dispersion method is used to obtain the model denominator. And the model numerator is found by the modified residue method or the time moment matching method. The methods suggested are compared with the method suggested by Lucas and give good results.

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Design of A Linear Polarized-Slotted Waveguide Antenna Using Longitudinal Slots on the Broad wall of a Rectangular Waveguide (구형도파관의 넓은면에 축방향 슬롯을 배열한 직선편파 특성의 도파관 안테나 설계)

  • Shin, P. S.;Ko, Y. H.;Ko, K. T.;Paek, L. J.;Lee, Y. H.;Tae, J. H.
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.153-156
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    • 1998
  • 구형도파관의 넓은 면에 축방향 슬롯을 파고 또 각각의 슬롯을 축방향으로 배열하였 때의 원거리 방사패턴을 구하는 과정을 보였으며 측정된 결과와 계산결과를 비교하였다. 방사전자계는 슬롯의 표면에 유기되는 등가의 자기전류로부터 계산할 수 있으며 임의의 개수를 가지는 배열안테나의 경우에는 각각의 슬롯이 자기 어드미턴스와 상호결합에 의한 영향을 받기 때문에 원하는 방사패턴을 얻기 위해서는 상호 어드미턴스를 고려하여 슬롯의 길이와 오프셋을 고려하여야 한다. 슬롯에서의 전계분포 해석은 모멘트법(method of moment)을 사용하여 해석하였다. 본 연구에서는 직선편파특성을 가지는 슬롯 배열 안테나의 설계를 위하여 슬롯의 자기 및 상호 어드미턴스를 구하고, 반복적인 수치해석 과정을 통하여 입력임피던스의 최적화 방법에 대하여 논하였다.

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Evaluation of the impact of typhoon on daily maximum precipitation (태풍이 일 최대강수량에 미치는 영향 평가)

  • Yang, Miyeon;Yoon, Sanghoo
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1415-1425
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    • 2017
  • Typhoons are accompanied by strong wind and heavy rains. It causes casualties and property damage on the Korean peninsula every year. The effect of typhoon to daily precipitation should be quantified to prevent the damage of typhoon. Daily precipitation, maximum wind speed and, mean wind speed data was collected from 60 weather stations between 1976 and 2016. The parameters of the generalized extreme value distribution were estimated through the maximum likelihood estimation and the L-moment estimation. The impact of a typhoon can be obtained through a comparison of return levels between the whole data and typhoon excluded data. We conclude that the eastern and southern coastline are exposed to the risk of heavy rainfall which is caused by typhoon.

Prediction of Gas Chromatographic Retention Times of PAH Using QSRR (기체크로마토그래피에서 QSRR을 통한 PAH 용리시간 예측)

  • Kim, Young Gu
    • Journal of the Korean Chemical Society
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    • v.45 no.5
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    • pp.422-428
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    • 2001
  • Retention relative times(RRTs) of PAH molecules and their derivatives in gas chromatography are trained and predicted in testing sets using a multiple linear regression(MLR) and an artificial neural network(ANN). The main descriptors of PAHs and their derivatives in QSRR are the square root of molecular weight(sqmw), molecular connectivity($^1{\chi}_v$), molecular dipole moment(D) and length-to-breadth ratios(L/B). The results of MLR shows that a heavy molecule has a propensity for long retention time. L/B closely related with slot model is a good descriptor in MLR. On the other hand, ANN which is not effected by the linear dependencies among the descriptors were exclusively based on molecular weight and molecular dipole moment. The variances which shows the accuracy of prediction for retention times in testing sets are 1.860, 0.206 for MLR and ANN, respectively. It was shown that ANN can exceed the MLR in prediction accuracy.

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Objective Bayesian Estimation of Two-Parameter Pareto Distribution (2-모수 파레토분포의 객관적 베이지안 추정)

  • Son, Young Sook
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.713-723
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    • 2013
  • An objective Bayesian estimation procedure of the two-parameter Pareto distribution is presented under the reference prior and the noninformative prior. Bayesian estimators are obtained by Gibbs sampling. The steps to generate parameters in the Gibbs sampler are from the shape parameter of the gamma distribution and then the scale parameter by the adaptive rejection sampling algorism. A numerical study shows that the proposed objective Bayesian estimation outperforms other estimations in simulated bias and mean squared error.

Application of Regional Frequency Analysis in Oversea's Flood Data (해외 홍수량 자료에 대한 지역빈도해석 적용성 검토)

  • Lee, Young Seok;Cho, Han Bum
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.405-405
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    • 2021
  • 지점빈도해석은 수문자료의 관측기간이 짧은 경우 확률수문량 산정의 신뢰도가 낮은 경향이 있으므로, 지점 내 충분한 수의 자료확보가 선행되어야 한다. 지역빈도해석은 지점 자료가 부족한 경우 또는 미계측 지점에서 확률수문량을 결정하기 위하여 제안된 방법으로서, 자료수가 부족한 경우 지역빈도해석을 사용하면 효율적이고 안정적으로 확률수문량을 산정할 수 있는 것으로 알려져 있다. 그간 국내 수문자료를 적용한 지역빈도해석에 대해 많은 검토가 이루어져 왔으나, 해외 수문자료에 대해서는 구하기 어려운 점 등의 이유로 상대적으로 검토가 부족했던 바, 본 검토에서는 해외 수문자료를 이용하여 지점빈도해석 및 지역빈도해석을 수행하여 결과를 비교하였다. 지역빈도해석의 기법으로는 지수홍수법 및 지역형상추적법을 적용하였으며, 적용한 지점의 L-변동계수, L-왜곡도계수의 차이에 따라 다른 결과가 나타났다. 일반적으로는 지역형상추적법이 지점빈도해석과 지수홍수법의 절충형으로, 확률수문량 산정결과도 지역형상추적법의 결과가 지점빈도해석과 지수홍수법의 사이에 위치할 것으로 예상하였으나, 어떤 경우에서는 그렇지 않은 결과를 도출하기도 하였다. 따라서, 지역빈도해석은 가급적 두 가지 이상의 방법을 적용한 뒤, 설계자가 자료의 특성에 따라 판단하여 적용해야 할 것으로 판단된다. 향후 국내에 비해 자료가 상대적으로 부족한 해외 수자원사업의 경우, 적은 자료수에서도 안정적인 결과를 산출하는 지역빈도해석의 적용이 필수적으로 판단되며, 해외 자료를 이용한 관련 연구가 지속적으로 이루어져야 할 것이다.

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Graph Cut-based Automatic Color Image Segmentation using Mean Shift Analysis (Mean Shift 분석을 이용한 그래프 컷 기반의 자동 칼라 영상 분할)

  • Park, An-Jin;Kim, Jung-Whan;Jung, Kee-Chul
    • Journal of KIISE:Software and Applications
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    • v.36 no.11
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    • pp.936-946
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    • 2009
  • A graph cuts method has recently attracted a lot of attentions for image segmentation, as it can globally minimize energy functions composed of data term that reflects how each pixel fits into prior information for each class and smoothness term that penalizes discontinuities between neighboring pixels. In previous approaches to graph cuts-based automatic image segmentation, GMM(Gaussian mixture models) is generally used, and means and covariance matrixes calculated by EM algorithm were used as prior information for each cluster. However, it is practicable only for clusters with a hyper-spherical or hyper-ellipsoidal shape, as the cluster was represented based on the covariance matrix centered on the mean. For arbitrary-shaped clusters, this paper proposes graph cuts-based image segmentation using mean shift analysis. As a prior information to estimate the data term, we use the set of mean trajectories toward each mode from initial means randomly selected in $L^*u^*{\upsilon}^*$ color space. Since the mean shift procedure requires many computational times, we transform features in continuous feature space into 3D discrete grid, and use 3D kernel based on the first moment in the grid, which are needed to move the means to modes. In the experiments, we investigate the problems of mean shift-based and normalized cuts-based image segmentation methods that are recently popular methods, and the proposed method showed better performance than previous two methods and graph cuts-based automatic image segmentation using GMM on Berkeley segmentation dataset.

An Analysis of TX/RX Microstrip Single Element using FDTD at Ku-band and 8X4 Array Antenna (FDTD 방법을 이용한 Ku 대역 송수신 겸용 마이크로스트립 단일 소자 해석 및 8X4 배열 안테나)

  • 윤재승;전순익
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.14 no.8
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    • pp.830-838
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    • 2003
  • In this paper, TX/RX dual operation microstrip single antenna for satellite communication is designed, analyzed, fabricated and measured. TX/RX frequency ranges are 14.0∼l4.5 GHz, 11.7∼12.75 GHz in respectively and vertical and horizontal polarizations are used for TX and RX. This antenna uses microstrip direct feeding for RX and aperture coupled strip-line feeding for TX and accommodates stacked elements for a high directivity and wide impedance bandwidth. In an analysis of single element, FDTD and MOM was compared and FDTD analysis was more accurate because of the consideration of finite structure and imperfect two ground planes. The proposed structure facilitates generally to an extension of two dimensional array and lower an unwanted radiation by strip-line feed in TX. TX/RX 8${\times}$4 array has a return loss below -10 dB, -14 dB in TX, RX respectively and a gain ranging from 19.1∼20.7 dB in TX, 21.2∼21.8 dB in RX which has a radiation efficiency of 43∼5l %, 52∼57 %.

Analysis of Electromagnetic Wave Scattering From a Perfectly Conducting One Dimensional Fractal Surface Using the Monte-Carlo Moment Method (몬테칼로 모멘트 방법을 이용한 1차원 프랙탈 완전도체 표면에서의 전자파 산란 해석)

  • 최동묵;김채영
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.39 no.12
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    • pp.566-574
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    • 2002
  • In this paper, the scattered field from a perfectly conducting fractal surface by the Monte-Carlo moment method was computed. An one-dimensional fractal surface was generated by using the fractional Brownian motion model. Back scattering coefficients are calculated with different values of the spectral parameter(S$\_$0/), and fractal dimension(D) which determine characteristics of the fractal surface. The number of surface realization for the computed field, the point number, and the width of surface realization are set to be 80, 2048, and 64L, respectively. In order to verify the computed results these results are compared with those of small perturbation methods, which show good agreement between them.

Derivation of Probability Plot Correlation Coefficient Test Statistics and Regression Equation for the GEV Model based on L-moments (L-모멘트 법 기반의 GEV 모형을 위한 확률도시 상관계수 검정 통계량 유도 및 회귀식 산정)

  • Ahn, Hyunjun;Jeong, Changsam;Heo, Jun-Haeng
    • Journal of Korean Society of Disaster and Security
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    • v.13 no.1
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    • pp.1-11
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    • 2020
  • One of the important problem in statistical hydrology is to estimate the appropriated probability distribution for a given sample data. For the problem, a goodness-of-fit test is conducted based on the similarity between estimated probability distribution and assumed theoretical probability distribution. Probability plot correlation coefficient test (PPCC) is one of the goodness-of-fit test method. PPCC has high rejection power and its application is simple. In this study, test statistics of PPCC were derived for generalized extreme value distribution (GEV) models based on L-moments and these statistics were suggested by the multiple and nonlinear regression equations for its usability. To review the rejection power of the newly proposed method in this study, Monte Carlo simulation was performed with other goodness-of-fit tests including the existing PPCC test. The results showed that PPCC-A test which is proposed in this study demonstrated better rejection power than other methods, including the existing PPCC test. It is expected that the new method will be helpful to estimate the appropriate probability distribution model.