• 한국전자파학회논문지
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• 제23권7호
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• pp.822-830
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• 2012

클러터는 레이더로 수신되는 불필요한 신호로 표적 탐지에 영향을 준다. 레이더 클러터는 진폭 분포, 주파수 스펙트럼 등과 같은 특성으로 정의되며, 이러한 특성을 충분히 고려하여 클러터 모델링 및 신호 생성이 되어야 한다. 본 논문에서는 다양한 클러터의 모델링에 광범위하게 사용되는 Weibull 분포 함수를 균일 분포 함수를 이용하여 단순화한 근사적 모델링 기법에 대하여 제안한다. 제안된 Weibull 분포 함수 근사 해에 의해 발생된 데이터가 원 Weibull 확률 밀도 함수를 만족하며, 생성 시간은 약 20 % 감소함을 실험 결과를 통하여 입증한다.

• 대한수학교육학회지:학교수학
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• 제13권3호
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• pp.423-446
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• 2011

학교수학에서 정적분과 치환적분법의 개념은 확률밀도함수의 도입, 연속확률변수의 기댓값, 정규분포의 표준화와 관련하여 수학적 연결성을 가진다. 그러나 개정교육과정의 '미적분과 통계 기본', '적분과 통계' 과목의 교육과정해설서와 검인정 교과서 및 익힘책에서 적분단원과 통계단원 사이의 수학적 연결성 고려가 어려움을 발견하였다. 본 연구는 학교수학에서 확률밀도함수의 도입, 연속확률변수의 기댓값, 정규분포의 표준화에 대하여 적분단원과의 수학적 연결성을 고려한 지도방안 마련을 목적으로 한다. 세개념에 대한 학생대상 실태조사와 개정교육과정의 교육과정해설서, 교과서, 익힘책, 그리고 국내 외 통계학(확률론) 도서(국내 13종, 국외 22종)의 내용을 비교하였다. 이를 바탕으로 세 개념에 대한 지도내용을 개발하여 실제 수업에 적용해보았고, 교육과정개정이나 교과서의 내용구성 변화에 대한 시사점을 발견하여 그 결과를 제언하였다.

• Journal of Electrical Engineering and Technology
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• 제8권6호
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• pp.1276-1282
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• 2013

This paper proposes a stochastic modeling of plug-in electric vehicles (PEVs) distribution in power systems, and analyzes the corresponding clustering characteristic. It is essential for power utilities to estimate the PEV charging demand as the penetration level of PEV is expected to increase rapidly in the near future. Although the distribution of PEVs in power systems is the primary factor for estimating the PEV charging demand, the data currently available are statistics related to fuel-driven vehicles and to existing electric demands in power systems. In this paper, we calculate the number of households using electricity at individual ending buses of a power system based on the electric demands. Then, we estimate the number of PEVs per household using the probability density function of PEVs derived from the given statistics about fuel-driven vehicles. Finally, we present the clustering characteristic of the PEV distribution via case studies employing the test systems.

• 한국지능시스템학회:학술대회논문집
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• 한국지능시스템학회 2008년도 춘계학술대회 학술발표회 논문집
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• pp.33-36
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• 2008

We introduce some properties for fuzzy binomial distributions with fuzzy valued probability. First we define fuzzy type I error and type II error for fuzzy relative frequency and agreement index. And we show that an fuzzy power function and fuzzy binomial frequency function for binomial proportion test.

• 한국해안해양공학회지
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• 제11권3호
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• pp.165-172
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• 1999

경사제 피복재의 안정성에 대한 신뢰성 해석을 수행하였다. 특히, 본 연구에서 신뢰함수에 대한 확률 밀도함수가 수학적으로 유도되었다. 유도된 확률밀도함수의 적용성을 검증하기 위하여 Monte-Carlo 해석방법과 모멘트법인 FMA 방법과 AFDA 방법도 같이 수행하였으며, 그 결과들을 정성적, 정량적으로 비교하여 만족스러운 결과를 얻을 수 있었다. 또한 경사제의 피복재에 대한 파괴확률 산정시 신뢰함수에 포함된 각각의 변수들이 확률적으로 독립이다 라고 가정할 수 있다는 사실이 확인되었다. 이는 각각의 확률변수가 정규분포를 따르지 않는다는 조건에서도 본 연구에서 사용된 해석방법이 확장될 수 있다는 것을 의미한다.

• 대한조선학회논문집
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• 제52권1호
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• pp.88-95
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• 2015

For the frequency-domain spectral fatigue analysis, the probability density function of stress range needs to be estimated based on the stress spectrum only, which is a frequency domain representation of the response. The probability distribution of the stress range of the narrow-band spectrum is known to follow the Rayleigh distribution, however the PDF of wide-band spectrum is difficult to define with clarity due to the complicated fluctuation pattern of spectrum. In this paper, efforts have been made to figure out the links between the probability density function of stress range to the structural response of wide-band Gaussian random process. An artificial neural network scheme, known as one of the most powerful system identification methods, was used to identify the multivariate functional relationship between the idealized wide-band spectrums and resulting probability density functions. To achieve this, the spectrums were idealized as a superposition of two triangles with arbitrary location, height and width, targeting to comprise wide-band spectrum, and the probability density functions were represented by the linear combination of equally spaced Gaussian basis functions. To train the network under supervision, varieties of different wide-band spectrums were assumed and the converged probability density function of the stress range was derived using the rainflow counting method and all these data sets were fed into the three layer perceptron model. This nonlinear least square problem was solved using Levenberg-Marquardt algorithm with regularization term included. It was proven that the network trained using the given data set could reproduce the probability density function of arbitrary wide-band spectrum of two triangles with great success.

• Journal of the Korean Statistical Society
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• 제28권4호
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• pp.443-455
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• 1999

A simulation-based approach to estimating the probability of an arbitrary region under a multivariate normal distribution is developed. In specific, the probability is expressed as the ratio of the unrestricted and the restricted multivariate normal density functions, where the restriction is given by the region whose probability is of interest. The density function of the restricted distribution is then estimated by using a sample generated from the Gibbs sampling algorithm.

• 대한수학회보
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• 제55권5호
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• pp.1563-1575
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• 2018

In this paper, our central focus is upon gamma and beta q-distributions from a probabilistic viewpoint. The gamma and the beta q-distributions are characterized by investing the nature of the joint q-probability density function through the q-independence property and the q-Laplace transform.

• 한국농공학회지
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• 제40권4호
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• pp.58-66
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• 1998

Irrigation Reservoir Water Supply Index(IRWSI), which can be applied to the effective supply and management of the irrigation water resources, was developed. IRWSI was formulated as resealed nonexceedance probabilities of two hydrologic components : reservoir storage ratio and precipitation. To generate nonexceedance probability of hydrologic component, it was important to define the optimal one among the various probability distribution function in the state of nature. To define an optimal probability distribution, in this study, four types of probability distribution function were tested by the K-S fitting, and for the calculation of IRWSI, reservoir storage ratio(%) and precipitation used Normal distribution & Gamma distribution, respectively. In this study, the weight coefficients of a and b for each hydrologic component, which is precipitation and reservoir storage ratio, was decided as 0.8 and 0.2, respectively. While some studies changed weight coefficients according to the size of basin area, this study used same values without considering that. From the analysis of drought characteristics, it was found that the IRWSI was sensitive to the size of irrigation area rather than the size of basin area, and the south-eastern region of Korea had been suffered from severe drought damage.

• 한국통신학회논문지
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• 제21권4호
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• pp.869-875
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• 1996

This paper investigates a method for dtermining a threshold value based on the probability distribution function for color image segmentation. Principal components of normalized color is nalyzed and found that there are effective color transforms for outdoor scents. We esplain the functional relationship of the treshold and the probability of a regiona detection, asuming bivarate Gaussian probability density function. Experimental results show that the probability of detection is proportional to the segmented area.