• 제목/요약/키워드: joint distribution probability

검색결과 103건 처리시간 0.036초

비선점 우선순위 M/G/1 대기행렬의 결합 고객수 분포 (The joint queue length distribution in the nonpreemptive priority M/G/1 queue)

  • 김길환;채경철
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1104-1110
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    • 2006
  • In this paper we present a simple approach to the joint queue length distribution in the nonpreemptive priority M/G/1 queue. Without using the supplementary variable technique, we derive the joint probability generating function of the stationary queue length at arbitrary time.

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개선된 확률밀도함수 적용을 통한 빈도별 적설심 산정 (Probable annual maximum of daily snowfall using improved probability distribution)

  • 박희성;정건희
    • 한국수자원학회논문집
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    • 제53권4호
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    • pp.259-271
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    • 2020
  • 우리나라도 최근 들어 과거 눈이 거의 내리지 않던 지역에 폭설이 내리거나 대설에 의한 인명피해가 발생하는 등의 대설 피해가 발생하며, 대설 및 설해 피해에 대한 관심이 증가하고 있다. 그러므로 자연재해저감 종합계획에 대설에 의한 설해 대비를 포함하는 등의 정책적인 변화가 생겼으나, 우리나라는 그동안 대설 피해가 많지 않았었기 때문에 대설이나 적설 자료의 특성에 대한 연구를 다양한 각도에서 수행한 적이 거의 없다. 우리나라의 적설자료는 강우자료와 특성이 다른 경우가 많다. 예를 들어, 우리나라 남해안 일부 지역은 연중 눈이 한 번도 내리지 않는 경우가 다수 있어, 연최대치계열 자료 중에 값이 없는 경우가 빈번히 존재한다. 이에 0이 다수 포함된 자료의 빈도해석을 위해 조건부결합확률분포를 이용하여 확률 밀도함수를 선정하는 방법을 적용하였다. 그 결과 기본 방법에 비해 적합도가 더 높은 확률밀도함수를 구할 수 있었으며, 100년 빈도 이상의 긴 재현기간에서 기존 방법에 비해 대체로 적설심이 작아지는 경향을 보였다. 본 연구에서는 본 연구에서는 0이 다수 포함된 자료의 빈도해석을 위해 조건부결합확률분포를 제안한 선행연구를 적용하여 우리나라 전국의 적설 관측지점에 대한 빈도해석을 수행하고, 그 결과를 설계에 사용되는 값들과 비교하였다. 본 연구의 결과는 향후 수문학적 적용을 위한 적설자료의 관측 및 분석 방법에 대한 세부적인 기준 마련을 위한 기초자료로 활용될 수 있을 것이다.

A Note on Possibilistic Correlation

  • Hong, Dug-Hun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권1호
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    • pp.1-3
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    • 2009
  • Recently, Carlsson, Full\acute{e}$r and Majlender [1] presented the concept of possibilitic correlation representing an average degree of interaction between marginal distribution of a joint possibility distribution as compared to their respective dispersions. They also formulated the weak and strong forms of the possibilistic Cauchy-Schwarz inequality. In this paper, we define a new probability measure. Then the weak and strong forms of the Cauchy-Schwarz inequality are immediate consequence of probabilistic Cauchy-Schwarz inequality with respect to the new probability measure.

3차원 확률분포함수를 고려한 단일전자 기본 논리 셀의 해석 (Analysis of a basic single-electron logic-cell considering three-dimensional joint probability distribution)

  • 유윤섭;황성우
    • 전자공학회논문지A
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    • 제33A권7호
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    • pp.143-148
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    • 1996
  • Detailed analyses have been presentd for a basic single-electron-logic-cell consisting of two single-electron-transistors (SETs) in series. The interconnection between two SETs has been treated as a coulomb island and the joint probability density function of all three coulomb islands (two from the SETs and one form the interconnection) has been exactly calculated. The average number of electrons in each coulomb island and the steady-state ouptut voltage have been calculated and analyzed.

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정용접이음재의 피로수명 예측에 관한 확률적 검토(I) : Weibull 확률 분포함수 적용 (Statistical Investigation of Fatigue Life Prediction of the Spot Welded Lap Joint(I) : Application of Weibull Probability Distribution Function)

  • 손일선;백동호
    • 한국자동차공학회논문집
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    • 제7권6호
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    • pp.214-221
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    • 1999
  • Spot welding is very important and useful technology in fabriaction of the thin sheet structure such as the automobile, train and air craft, Because fatigue strength of the spot welding point is however considerably lower than base metal due to stress concentration at the nugget edge, reasonable fatigue strength evaluation of spot welded lap joint is very important to estimate the reliability and durability of th spot welded structure and to establish a criterion of ling life fatigue design. For reasonalbe fatigue strength evaluation, it is necessary to estimate the fatigue strength of spot welded lap joints, systematically. So far, many investigators have numerically and experimentally studied on the systematic fatigue strength estimation for various spot welded lap joints, and the methods suggested has been considerably accumulated. By the way, for applying them in practical fatigue design of the thin sheet structure fabricated by spot welding ,it is also necessary to verify their efficiency and reliability on the predicted results, Therefore, in this study, a statistical fatigue strength estimation method for spot welded lap joints was developed by using the Weibull probability distribution function. From the result, it was found that fatigue strength and fatigue life of the spot welded lap joints having various dimension were able to be statically predicted . And also, a reliable criterion for long life fatigue design of the spot welded lap joint could be established.

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Spot 용접이음재의 피로수명 예측에 관한 확률적 검토(II) : 피로강도 평가법의 신뢰성 검증 (Statistical Investigateion of Fatigue Life Predictioin of the Spot Welded Lap Joint(II) ; to verity reliabilty of fatigue strength estimatioin method)

  • 손일선;배동호
    • 한국자동차공학회논문집
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    • 제7권7호
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    • pp.242-249
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    • 1999
  • Spot welding is very important and useful technology in fabrication of an automobile body structure. Because fatigue strength of the spot welding point is however considerably lower than parent metal due to stress concentration at the nugget edge, accurate stress analysis and fatigue stength evaluation of spot welded lap joint are very important to valuate the reliability and durability of automobile body structure and to establish a criterion of long life fatigue design. Many invetigators have studied so far onsystematic fatigue strength evaluation with various methods. It is however necessary to verify their reliability and abailability for practical application to fatigue design of spot welded structure, Thus,in this study, fatigue strength evaluation methods of spot welded lap joint. which are the maximum principal stress method. the fracture and availability with the Weibull probability distribution. From the results, it was found that reliability and availability withe the Weibull probaility distribution. From the results, it was found that reliability and availability of the suggest fatigue strength estimation methods methods were higher than $\Delta$P-$N_f$ relation. However, among them , reliability of the maximum pricipal stress method was the highest.

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On method calculation design flood elevation of esturial city

  • Wang Chao;Chao, Wang-Dong
    • 한국해안해양공학회:학술대회논문집
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    • 한국해안해양공학회 1996년도 정기학술강연회 발표논문 초록집
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    • pp.42-44
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    • 1996
  • Recently due to repeatedly occurrence of flood, a lot of Chinese cities accept new design criteria for their protective project Most of them calculated by a certain type of probability distribution. In order to meet the demand of development economy the return period of design criteria is changed more longer and longer even 1000years, but the data which the calculation dependent on is only about 30-40 years. (omitted)

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광양 - 묘도 지역의 통계학적인 풍속 추정 (Statistical Estimation of Wind Speed in the Gwangyang-Myodo Region)

  • 배용귀;한관문;이성로
    • 대한토목학회논문집
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    • 제28권2A호
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    • pp.197-205
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    • 2008
  • 본 연구에서는 광양-묘도 지역의 평균풍속을 추정하기 위하여, 일별 최대 풍속과 해당 방향에 대한 결합분포확률의 통계학적 해석에 극한값 확률분포 모델이 사용되었다. 이를 위하여, 교량 가설지점 인근의 기상관측소에 대한 일별 최대풍속 및 해당풍향의 데이터로부터 각각의 관측소에 대한 일별 최대기록의 빈도를 조사하였으며, 16방위 및 전방위에 대한 년 최대풍속의 표본을 추출하였다. 이러한 풍속기록은 Gumbel 및 Weibull 분포모델에 적용하였으며, 모멘트방법 및 최소제곱법 등을 통해 모수를 추정하였다. 또한, PPCC 검사를 통해 분포모델 및 모수의 적합 여부를 검사하였다. 적합 여부가 판단된 모수로부터, 해당 관측소별로 데이터의 표본 크기 및 교량 가설지점으로부터의 거리에 대한 요소를 고려하여 16방위 및 전방위에 대한 년 최대풍속을 추정하였다.

확률적 확산을 이용한 스테레오 정합 알고리듬 (New stereo matching algorithm based on probabilistic diffusion)

  • 이상화;이충웅
    • 전자공학회논문지S
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    • 제35S권4호
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    • pp.105-117
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    • 1998
  • In this paper, the general formula of disparity estimation based on Bayesian Maximum A Posteriori (MAP) algorithm is derived and implemented with simplified probabilistic models. The probabilistic models are independence and similarity among the neighboring disparities in the configuration.The formula is the generalized probabilistic diffusion equation based on Bayesian model, and can be implemented into the some different forms corresponding to the probabilistic models in the disparity neighborhood system or configuration. And, we proposed new probabilistic models in order to simplify the joint probability distribution of disparities in the configuration. According to the experimental results, the proposed algorithm outperformed the other ones, such as sum of swuared difference(SSD) based algorithm and Scharstein's method. We canconclude that the derived formular generalizes the probabilistic diffusion based on Bayesian MAP algorithm for disparity estimation, and the propsoed probabilistic models are reasonable and approximate the pure joint probability distribution very well with decreasing the computations to 0.01% of the generalized formula.

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A data-driven method for the reliability analysis of a transmission line under wind loads

  • Xing Fu;Wen-Long Du;Gang Li;Zhi-Qian Dong;Hong-Nan Li
    • Steel and Composite Structures
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    • 제52권4호
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    • pp.461-473
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    • 2024
  • This study focuses on the reliability of a transmission line under wind excitation and evaluates the failure probability using explicit data resources. The data-driven framework for calculating the failure probability of a transmission line subjected to wind loading is presented, and a probabilistic method for estimating the yearly extreme wind speeds in each wind direction is provided to compensate for the incompleteness of meteorological data. Meteorological data from the Xuwen National Weather Station are used to analyze the distribution characteristics of wind speed and wind direction, fitted with the generalized extreme value distribution. Then, the most vulnerable tower is identified to obtain the fragility curves in all wind directions based on uncertainty analysis. Finally, the failure probabilities are calculated based on the presented method. The simulation results reveal that the failure probability of the employed tower increases over time and that the joint probability distribution of the wind speed and wind direction must be considered to avoid overestimating the failure probability. Additionally, the mixed wind climates (synoptic wind and typhoon) have great influence on the estimation of structural failure probability and should be considered.