• Title/Summary/Keyword: 비동질성

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NHPP Software Reliability Model based on Generalized Gamma Distribution (일반화 감마 분포를 이용한 NHPP 소프트웨어 신뢰도 모형에 관한 연구)

  • Kim, Hee-Cheul
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.27-36
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    • 2005
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates Per fault. This Paper Proposes reliability model using the generalized gamma distribution, which can capture the monotonic increasing(or monotonic decreasing) nature of the failure occurrence rate per fault. Equations to estimate the parameters of the generalized gamma finite failure NHPP model based on failure data collected in the form of interfailure times are developed. For the sake of proposing shape parameter of the generalized gamma distribution, used to the special pattern. Data set, where the underlying failure process could not be adequately described by the knowing models, which motivated the development of the gamma or Weibull model. Analysis of failure data set for the generalized gamma modell, using arithmetic and Laplace trend tests . goodness-of-fit test, bias tests is presented.

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The Bayesian Analysis for Software Reliability Models Based on NHPP (비동질적 포아송과정을 사용한 소프트웨어 신뢰 성장모형에 대한 베이지안 신뢰성 분석에 관한 연구)

  • Lee, Sang-Sik;Kim, Hee-Cheul;Kim, Yong-Jae
    • The KIPS Transactions:PartD
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    • v.10D no.5
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    • pp.805-812
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    • 2003
  • This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP) and performs Bayesian inference using prior information. The failure process is analyzed to develop a suitable mean value function for the NHPP; expressions are given for several performance measure. The parametric inferences of the model using Logarithmic Poisson model, Crow model and Rayleigh model is discussed. Bayesian computation and model selection using the sum of squared errors. The numerical results of this models are applied to real software failure data. Tools of parameter inference was used method of Gibbs sampling and Metropolis algorithm. The numerical example by T1 data (Musa) was illustrated.

Effect of complex sample design on Pearson test statistic for homogeneity (복합표본자료에서 동질성검정을 위한 피어슨 검정통계량의 효과)

  • Heo, Sun-Yeong;Chung, Young-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.4
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    • pp.757-764
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    • 2012
  • This research is for comparison of test statistics for homogeneity when the data is collected based on complex sample design. The survey data based on complex sample design does not satisfy the condition of independency which is required for the standard Pearson multinomial-based chi-squared test. Today, lots of data sets ara collected by complex sample designs, but the tests for categorical data are conducted using the standard Pearson chi-squared test. In this study, we compared the performance of three test statistics for homogeneity between two populations using data from the 2009 customer satisfaction evaluation survey to the service from Gyeongsangnam-do regional offices of education: the standard Pearson test, the unbiasedWald test, and the Pearsontype test with survey-based point estimates. Through empirical analyses, we fist showed that the standard Pearson test inflates the values of test statistics very much and the results are not reliable. Second, in the comparison of Wald test and Pearson-type test, we find that the test results are affected by the number of categories, the mean and standard deviation of the eigenvalues of design matrix.

Modified Classification of Anemia by ROW (RDW를 이용한 빈혈의 재분류)

  • Hwang, Hyeong-Ki;Hyun, Myung-Soo;Shim, Bong-Sup
    • Journal of Yeungnam Medical Science
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    • v.10 no.1
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    • pp.58-67
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    • 1993
  • The author obtained index of red cell volume distribution width(RDW) and other red cell indices in 210 patients of various hematoncologic conditions and 200 healthy control group using, an automated blood analyzer, Coulter Counter Model S-plus II. This study performed to classify various etiologic anemia based on the MCV and RDW, to evaluate availability to the differential diagnosis in korean anemic distoders somewhat different from etiologies of anemias in foreginers. In the most of cases, the increase or decrease of MCV were always combined the pararell changes of MCH and MCHC. But the values of MCV and RDW were not correlated in control group and patient group. So the terms of heterogenous of homogenous anemia were meaningful morphologic classification than hypochromic or normochromic anemia. The heterogenous microcytic anemia contained iron deficiency anemia. In heterogenous normocytic anemia, myelophthisic anemia, acute leukemia were contained. In heterogenous macrocytic anemia, megaloblastic anemia, hemolytic anemia were contained. The homogenous microcytic anemia was observed in anemia of chronic disorders. In homogenous normocytic anemia, acute blood loss, chronic leukemia, multiple myeloma were contained. The aplastic anemia was belonged to homogenous macrocytic anemia. The diagnostic significance of RDW in hemoglobinopathies is most important. But this study was not contained hemoglobinopathies. Instead RDW was very helpful to differential diagnosis of most common anemias, iron deficiency anemia and anemia due to chronic disorders in Korea.

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MHN Filter-based Brush Stroke Generation for Painterly Rendering (회화적 렌더링을 위한 MHN 필터 기반 브러시 스트로크 생성기법)

  • Seo, Sang-Hyun;Yoon, Kyung-Hyun
    • Journal of Korea Multimedia Society
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    • v.9 no.8
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    • pp.1045-1053
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    • 2006
  • We introduce a new method of painterly rendering. Instead of using the gradient direction of the source image to generate a brush stroke, we extract regions that can be drawn in one stroke using MHN filtering followed by identification of connected components, and make a brush stroke from each, based on an approximation to the medial axis. This method results in realistic-looking brush strokes of varying width that have an irregular directions where necessary.

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Determinants of Media Repertoires based on New Services and Technologies (신규 미디어 서비스/기기 레퍼토리 구조 결정 요인)

  • Chon, Bum-Soo;Park, Joo-Yeun
    • Korean journal of communication and information
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    • v.49
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    • pp.20-38
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    • 2010
  • This paper was attempting to identify determinants of media repertoires based on new services and technologies. Using the regression and discriminant models, this study examined determinants that included five independent factors such as the degree of innovation, social networks, social influences, demographic variables and media uses. The analyses revealed that all of independent variables except the degree of innovation were significant determinants of media repertoires. Secondly, the results of discriminant analyses showed that terrestrial television use, age, disposable income were significant factors discriminating new media service adopters from the sample. For new media related technologies adopters, family income, and media uses such as newspaper, Internet and radio were significant discriminant variables.

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Simulation of Hourly Precipitation using Nonhomogeneous Markov Chain Model and Derivation of Rainfall Mass Curve using Transition Probability (비동질성 Markov 모형에 의한 시간강수량 모의 발생과 천이확률을 이용한 강우의 시간분포 유도)

  • Choi, Byung-Kyu;Oh, Tae-Suk;Park, Rae-Gun;Moon, Young-Il
    • Journal of Korea Water Resources Association
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    • v.41 no.3
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    • pp.265-276
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    • 2008
  • The observed data of enough period need for design of hydrological works. But, most hydrological data aren't enough. Therefore in this paper, hourly precipitation generated by nonhomogeneous Markov chain model using variable Kernel density function. First, the Kernel estimator is used to estimate the transition probabilities. Second, wet hours are decided by transition probabilities and random numbers. Third, the amount of precipitation of each hours is calculated by the Kernel density function that estimated from observed data. At the results, observed precipitation data and generated precipitation data have similar statistic. Also, rainfall mass curve is derived by calculated transition probabilities for generation of hourly precipitation.

Development of a nonstationary regional frequency analysis model (비정상성 지역빈도해석 모형 개발)

  • Jung, Min-Kyu;Moon, Jangwon;Kim, Yun-Sung;Park, Sungsu;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.433-433
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    • 2022
  • 수자원 관리를 위한 설계수문량의 산정은 수문자료의 통계적 특성을 고려한 빈도해석을 통해 이루어지며, 대상 관측지점에 대해 개별적으로 수행되는 지점빈도해석과 수문학적으로 동질하다고 판단되는 지점들의 자료를 동시에 고려하는 지역빈도해석으로 분류된다. 기후변화에 의한 미래 수문량의 변동성을 고려하기 위해 비정상성 빈도해석이 요구되나 짧은 기록을 갖는 수문자료로부터 정확한 변화 추세를 평가하기 어렵다. 이에 따라 지역빈도해석을 통해 자료를 확충함으로써 자료에 대한 신뢰성을 확보하고 지역 전체에 대해 대표성을 갖는 확률수문량을 산정하는 것이 합리적이다. 본 연구에서는 극치강수량의 지역빈도해석에서 비정상성을 고려하기 위해 단순선형회귀 모형을 통해 시간항에 대한 강수량의 경향성을 탐지하였다. 계층적 Bayesian 모형을 통해 Partial Pooling 기법을 적용함으로써 기존 L-모멘트 방법(complete pooling)에서 고려하지 못하는 개별지역의 강수 특성을 고려하였으며 불확실성을 정량화하였다. 한강 유역 18개 지점의 극치강수량에 대해 비정상성 평가 결과 대부분 지점에서 양의 기울기를 확인하였으며 미래 빈도별 확률강수량의 증가율을 제시한다.

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A Derivation of Rainfall Intensity-Duration-Frequency Relationship for the Design of Urban Drainage System in Korea (우리나라 도시배수시스템 설계를 위한 확률강우강도식의 유도)

  • Lee, Jae-Jun;Lee, Jeong-Sik
    • Journal of Korea Water Resources Association
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    • v.32 no.4
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    • pp.403-415
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    • 1999
  • This study is to derive the rainfall intensity formula based on the representative probability distribution in Korea. The 11 probability distributions which has been widely used in hydrologic frequency analysis are applied to the annual maximum rainfall. The parameters of each probability distribution are estimated by method of moments, maximum likelihood method and method of probability weighted moments. Four tests such as $x^2$-test, Kolmogorv-Smirnov test, difference test and modified difference test are used to determine the goodness of fit of the distributions. The homogeneous tests (Mann-Whitney U test, Kruskal-Wallis one-way analysis of variance of nonparametric test) are applied to find the stations with rainfall homogeneity. The results of homogeneous tests show that there is no representative appropriate distribution for the whole duration in Korea. The whole region could be divided into five zones for 12-durations. The representative probability distribution of each divided zone for 12-durations was determined. The GEV distribution for I,II,V zones and the 3-parameter Weibull distribution for III,IV zones were determined as the representative probability distribution. The rainfall were obtained from representative probability distribution for the selected return periods. Rainfall intensity formula was determined by linearization technique for the rainfall.

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Study on Scaling Exponent for Classification of Regions using Scaling Property (스케일 성질을 이용한 군집 지역에서의 스케일 인자에 대한 연구)

  • Jung, Younghun;Kim, Sunghun;Ahn, Hyunjun;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.504-504
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    • 2015
  • 수공구조물을 설계하기 위해서는 설계수문량을 빈도해석을 통해 산정할 수 있다. 빈도해석 중 지점빈도해석을 보완한 지역빈도해석을 적용하기 위해서는 군집분석을 통한 지역구분이 무엇보다 중요하다. 또한 스케일 성질(scaling property)은 강우의 시 공간적 특성을 지속기간별 관측된 강우자료를 이용하여 재현기간에 대한 지속기간의 함수로 강우의 IDF곡선을 제시할 수 있는 방법이다. 따라서 스케일 성질을 통해 군집된 지역에서의 강우자료에 적용하여 스케일 인자(scaling exponent)를 추정한 후 수문학적 동질성을 통계적 특성으로 설명하고자 한다. 본 연구를 수행하기에 앞서 군집 분석은 4개의 군집방법(평균연결법, Ward방법, Two-Step방법, K-means방법)을 적용하였고, 한강유역에 위치한 104개의 강우지점은 4개의 지역으로 구분하는 것이 적절하다고 판단되어 비계층적 방법인 k-means방법을 이용하여 지역을 구분하였다. 본 연구에서는 군집된 결과를 바탕으로 4개의 지역으로 구분된 지역에 포함된 강우지점을 대상으로 스케일 인자를 추정하고 수문학적 동질성을 통계적 방법으로 제시하고자 한다.

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