• Title/Summary/Keyword: distribution modeling

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명태 유통 중 Pseudomonas spp. 농도의 예측 모델링과 민감도 분석 (Dynamic Modeling and Sensitivity Analysis for Predicting the Pseudomonas spp. Concentration in Alaska Pollack along the Distribution Path)

  • 심수동;성재웅;이중용;이다선;김선봉;홍광원;이양봉;이승주
    • 한국수산과학회지
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    • 제43권3호
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    • pp.205-210
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    • 2010
  • Dynamic modeling was used to predict the Pseudomonas spp. concentration in Alaska pollack under dynamic temperature conditions in a programmable incubator using Euler's method. The model evaluation showed good agreement between the predicted and measured concentrations of Pseudomonas spp. In the simulation, three kinds of distribution path were assumed: consumers buying from a distribution center (A), manufacturer (B), or direct market (C). Each of these distribution paths consists of six phases: shipping, warehousing/shipment, warehousing/storing, processing, market exhibition, and sale/consumption. Sensitivity analysis of each phase was also implemented. The Pseudomonas concentrations and sensitivities ($S_k$) at the terminal phases of the three paths were estimated to be (A) 11.174 log CFU/g and 10.550 log $S_k$, (B) 10.948 log CFU/g and 10.738 log $S_k$, and (C) 8.758 log CFU/g and 9.602 log $S_k$, respectively. The sensitivities indicated that path A has the highest risk of failure in managing the relevant phases.

다양한 모형화를 통한 자동차 보험가격 산출 (Various modeling approaches in auto insurance pricing)

  • 김명준;김영화
    • Journal of the Korean Data and Information Science Society
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    • 제20권3호
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    • pp.515-526
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    • 2009
  • 자동차 보험 산업에 있어 담보되는 위험도에 따른 적정 보험가격의 산출은 매우 중요하다. 본 논문에서는 자동차 보험 산업에서 보험가격 산출 방법이 어떻게 발전되어 왔는지에 대하여 고찰하고, 여러 통계적인 방법으로 산출한 보험가격과 실제 담보되는 위험도의 비교 분석을 통하여 보다 나은 통계적 보험가격 산출 방법을 제안하고자 한다. 그 중에서 일반선형모형을 중심으로 다루었으며, 오차항의 분포에 대한 다양한 가정을 통하여 최적의 접근 방법에 대한 논의를 하였다. 일반선형모형에 있어 오차항의 분포에 대한 적절한 가정은 모형의 최적화를 위한 중요한 가정이다. 본 연구에서는 일반적으로 널리 사용되지 않았음에도 불구하고 자동차 보험 사고 손해액과 매우 유사한 성격을 가지고 있는 트위디 분포를 오차항의 분포 가운데 하나로 적용하여 비교하였다. 실증자료 분석으로서 국내 자동차 보험사의 실제 자료를 통하여 여러 접근 방법에 대한 적정성 비교를 수행하였다.

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주요 색상의 분포 블록기호를 이용한 영상검색과 유사도 피드백을 통한 이미지 검색 (Image Retrieval using Distribution Block Signature of Main Colors' Set and Performance Boosting via Relevance feedback)

  • 박한수;유헌우;장동식
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권2호
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    • pp.126-136
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    • 2004
  • 이 논문은 색상과 위치정보를 이용한 새로운 내용기반 영상검색 알고리즘을 제안한다. 이를 위해서. 질의가 주어졌을 경우, 데이타베이스의 검색공간을 줄일 목적으로 두 가지 종류의 색인 키(Key)를 제시하는데 하나는 영상의 고유한 색상 구성적 특성을 나타내는 주요 색상세트(MCS, Main Colors' Set)이고 다른 하나는 주요 색상마다의 분포 및 위치적 특성을 나타내는 분포 블록기호(DBS, Distribution Block Signature)이다. 이 두 가지 필터(Filter)를 연속적으로 적용하면 영상 데이터베이스로부터 잠재성이 높은 유사 후보 영상만을 걸러내게 된다. 이어서 보다 높은 검색성능을 얻기 위해 새롭게 제안한 쿼드모델 (Quad Modeling)과 유사도 피드백 메커니즘을 이용한다. 이 방법은 색상과 위치정보에 대한 가중치를 역동적으로 조절함으로써 검색성능을 향상시킨다. 실험을 통해서 제안된 알고리즘이 성공적으로 영상검색에 사용될 수 있음을 보인다.

그라운드 앵커의 하중전이 현상에 대한 연구 (A Study on Load Transfer of Ground Anchors)

  • 김낙경;박완서
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 1999년도 가을 학술발표회 논문집
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    • pp.441-448
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    • 1999
  • The load distribution in a ground anchor is very complex because it involves three different materials(soil, grout, and steel), which sometimes act as composite sections (bonded length) or separately (unbounded length). Therefore it is very hard to understand load transfer mechanism on the anchor. In order to understand the load transfer, it is essential to consider the load distribution In the three different materials. On these purposes, full scale anchor test is planned on the geotechnical site at Sunkyunkwan University Prior to the test, modeling and analyses of the load transfer mechanism were performed on the data from the case histories.

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Event tree하에서 베이지안 기법을 이용한 신뢰도 예측 (Bayesian reliability prediction under event tree)

  • 박철순;전치혁;양희중;장수영
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1993년도 추계학술대회발표논문집; 서강대학교, 서울; 25 Sep. 1993
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    • pp.24-30
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    • 1993
  • When modeling a complex system we use an event tree to analyze propagation of failure. An event tree cannot represent the statistical interrelationships among parameters, but it can be represented as a statistically identical influence diagram so that parameter updating can be easily performed. After updating parameters we can calculate posterior distribution of the failure rate for each path. But exact distribution requires considerably complex numerical integration. We propose an approximation method to calculate the posterior and derive the predictive distribution of the time to next failure. Finally we introduce the system which implements our methodology.

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생체의 가우스빔 광분포모델 (A Gaussian Beam Light Distribution Model of the Biological Tissue)

  • 조진호;하영호;이건일
    • 대한전자공학회논문지
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    • 제25권6호
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    • pp.654-662
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    • 1988
  • A simple and useful model of light distribution for the biologhical tissue to the Gaussian beam is proposed. This model assumes that the incident Gaussian beam broadens into two Gaussian beams, travelling in the opposite directions as the result of both isotropic scattering and absorption in the tissue. With this assumption, two-dimensional light intensity of each flux as well as the equations of both absorption and scattering have been derived, and the validity of modeling has been confirmed experimentally. Consequently, the results paved a way for easy evaluation of the light distribution in the biological tissue.

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Bayesian Estimation of State-Space Model Using the Hybrid Monte Carlo within Gibbs Sampler

  • Park, Ilsu
    • Communications for Statistical Applications and Methods
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    • 제10권1호
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    • pp.203-210
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    • 2003
  • In a standard Metropolis-type Monte Carlo simulation, the proposal distribution cannot be easily adapted to "local dynamics" of the target distribution. To overcome some of these difficulties, Duane et al. (1987) introduced the method of hybrid Monte Carlo(HMC) which combines the basic idea of molecular dynamics and the Metropolis acceptance-rejection rule to produce Monte Carlo samples from a given target distribution. In this paper, using the HMC within Gibbs sampler, an asymptotical estimate of the smoothing mean and a general solution to state space modeling in Bayesian framework is obtaineds obtained.

피더모델링을 이용한 배전계통 재구성 (Distribution Network Reconfiguration Using Feeder Modeling)

  • 김세호;안진오;이수묵
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 C
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    • pp.1156-1158
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    • 1998
  • This paper Presents two distribution-feeder models to simplify complicated distribution system calculations. These equivalent models are developed to simulate the total series voltage drop at the end of the given feeder and the total line loss of the given feeder accurately. In addition, the proposed models are bidirectional. This means that power infeed can be at either end and the model is accurate. Also, it is shown that the proposed models are suitable for network reconfiguration.

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DC 혼합배전시스템에서 지중계통의 뇌과전압 해석 (Lightning Surge Analysis on Underground System in DC Combined Distribution System)

  • 안천용;이종범
    • 전기학회논문지
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    • 제62권6호
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    • pp.737-743
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    • 2013
  • This paper describes the overvoltage through lightning surge analysis on underground system in DC combined distribution systems. It is considered that operating micro grid including distributed generation with smart grid can make possibility of composing new distribution system different from existing one. However, there are many papers about low voltage DC distribution in grids or buildings but not many about replacement or distributing 22.9kV AC distribution system to DC system. Among many research need for DC system development, overvoltage is studied in this paper. Overvoltage is simulated on DC cable when lightning strikes to overhead grounding wire which is installed at the nearest location from power cable section. Analysis as well as modeling is performed in EMTP/ATPDraw. It is evaluated that analysis results can be used to design of DC underground distribution power cable system.

Modeling the potential climate change-induced impacts on future genus Rhipicephalus (Acari: Ixodidae) tick distribution in semi-arid areas of Raya Azebo district, Northern Ethiopia

  • Hadgu, Meseret;Menghistu, Habtamu Taddele;Girma, Atkilt;Abrha, Haftu;Hagos, Haftom
    • Journal of Ecology and Environment
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    • 제43권4호
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    • pp.427-437
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    • 2019
  • Background: Climate change is believed to be continuously affecting ticks by influencing their habitat suitability. However, we attempted to model the climate change-induced impacts on future genus Rhipicephalus distribution considering the major environmental factors that would influence the tick. Therefore, 50 tick occuance points were taken to model the potential distribution using maximum entropy (MaxEnt) software and 19 climatic variables, taking into account the ability for future climatic change under representative concentration pathways (RCPs) 4.5 and 8.5, were used. Results: MaxEnt model performance was tested and found with the AUC value of 0.99 which indicates excellent goodness-of-fit and predictive accuracy. Current models predict increased temperatures, both in the mid and end terms together with possible changes of other climatic factors like precipitation which may lead to higher tick-borne disease risks associated with expansion of the range of the targeted tick distribution. Distribution maps were constructed for the current, 2050, and 2070 for the two greenhouse gas scenarios and the most dramatic scenario; RCP 8.5 produced the highest increase probable distribution range. Conclusions: The future potential distribution of the genus Rhipicephalus show potential expansion to the new areas due to the future climatic suitability increase. These results indicate that the genus population of the targeted tick could emerge in areas in which they are currently lacking; increased incidence of tick-borne diseases poses further risk which can affect cattle production and productivity, thereby affecting the livelihood of smallholding farmers. Therefore, it is recommended to implement climate change adaptation practices to minimize the impacts.