• 제목/요약/키워드: Distribution changes

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배전선로의 특이파형 검출 방법에 관한 연구 (A Study on Detection Method of Specific Waveform in Distribution Line)

  • 이진;박찬
    • 한국전기전자재료학회논문지
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    • 제32권2호
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    • pp.151-156
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    • 2019
  • The aim of this investigation is to detect specific waveforms in a distribution line prior to the occurrence of a fault. Conditions were introduced such that a feeder remote terminal unit (FRTU) of the distribution automation system selects and stores fault waveforms from the different waveforms detected in the distribution line. In addition, an algorithm was developed to detect specific waveforms from the fault waveforms stored using the FRTU. This algorithm exploits the duration and periodicity of harmonic changes in voltage and current. The efficacy of the algorithm was confirmed based on the measurements of fault waveforms in an actual distribution line. The results indicated that faults in a distribution line can be predicted via experimental measurements.

Distribution Channel, Matching, and Welfare Asymmetry in the Korean Insurance Industry: A Hint from Matching Theory

  • Lee, Yong-Ju
    • Asia Marketing Journal
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    • 제17권4호
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    • pp.89-104
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    • 2016
  • Based on the observation that insurance companies in Korea, unlike those in other financial sectors and those in other countries, dominantly use the agent-based push-type marketing strategy, this paper hypothesizes that difference in distribution systems originating from characteristics of financial products can lead to welfare asymmetry between financial institutions and customers, merely due to their financial matching. For this analysis, we employ a simple matching theoretic model, try to understand the welfare implications of distribution systems from a matching theoretic perspective, and analyze the bottom of negative perceptions of insurance industry. The proposed model suggests that this welfare asymmetry derives mainly from financial matching through the distribution systems, which implies that any efforts to improve the insurance industry must consider changes in the matching process, namely the distribution system. We hope that this paper complements and extends the existing literature on insurance distribution systems in terms of methodologies and research subjects.

Robustness of Predictive Density and Optimal Treatment Allocation to Non-Normal Prior for The Mean

  • Bansal, Ashok K.;Sinha, Pankaj
    • Journal of the Korean Statistical Society
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    • 제22권2호
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    • pp.235-247
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    • 1993
  • The predictive density function of a potential future observation and its first four moments are obtained in this paper to study the effects of a non-normal prior of the unknown mean of a normal population. The derived predictive density function is modified to study changes in utility curves, used to choose the optimum treatment from a given set of treatments, at a given level of stimulus due to slight deviations from normality of the prior distribution. Numerical illustrations are provided to exhibit some effectsl.

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Unified Estimations for Parameter Changes in a Generalized Uniform Distribution

  • 김중대;이장춘
    • Journal of the Korean Data and Information Science Society
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    • 제13권2호
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    • pp.295-305
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    • 2002
  • We shall propose several estimators for the shape and scale parameters in a generalized uniform distribution when both parameters are polynomial of a known exposure level, and obtain expectations and variances for their proposed estimators. And we shall compare numerically efficiencies for the several proposed estimators for the shape and scale parameters in a generalized uniform distribution in the small sample sizes.

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Unified jackknife estimation for parameter changes in an exponential distribution

  • Woo, Jung-Soo
    • 대한수학회지
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    • 제32권1호
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    • pp.77-84
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    • 1995
  • Many authors have utilized an exponential distribution because of its wide applicability in reliability engineering and statistical inferences (see Bain & Engelhart(1987) and Saunders & Mann(1985)). Here we are considering the parametric estimation in an exponential distribution when its scale and location parametes are linear functions of a known exposure level t, which often occurs in the engineering and physical phenomena.

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Estimation of VaR in Stock Return Using Change Point

  • Lee, Seung-S.;Jo, Ju-H.;Chung, Sung-S.
    • Journal of the Korean Data and Information Science Society
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    • 제18권2호
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    • pp.289-300
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    • 2007
  • The stock return is changed by factors of inside and outside or is changed by factor of market system. But most studies have not considered the changes of stock return distribution when estimate the VaR. Such study may lead us to wrong conclusion. In this paper we calculate the VaR of price-to-earnings ratios by the distribution that have considered the change point and used transformation to satisfy normal distribution.

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판매물류시스템 설계상 Depots 입지선정의 유연성 분석 (A Flexibility Analysis of Depots Location Considering Physical Distribution Design)

  • 강인선
    • 산업경영시스템학회지
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    • 제24권65호
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    • pp.81-88
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    • 2001
  • In logistics decision making, Key elements in the design of any physical distribution are the location of depots and the distribution of goods from the depots to the customers. Considering open and close the depots, This paper presents a flexible analysis on the combined location-routing problem(LRP) the case for variation capacity of vehicle and customers demands each. The scenario examples are given the use of heuristic(Saving-Drop) in LRP types. The results is useful in apply to the logistics environment changes.

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Landsat TM 자료를 이용한 지표면 수문인자 변화 분석 (An Analysis on the Changes of the Surface Hydrological Parameters using Landsat TM Data)

  • 채효석;송영수
    • 한국지리정보학회지
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    • 제2권3호
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    • pp.46-59
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    • 1999
  • 원격탐사는 넓은 지역에 대한 수문학적 상태나 변화량을 관측할 수 있는 시 공간적인 수문인자나 변수들에 대한 정보를 제공할 수 있다. 특히, 지표면 알베도, 식생정보 및 지표면 온도 분포등 유역의 수자원을 효율적으로 관리하기 위한 수문 인자들의 공간적인 분포를 파악할 수 있다. 본 논문에서는 수자원의 공간적인 분포를 파악하기 위해 필수적으로 요구되는 지표면 수문인자의 시 공간적인 변화 특성을 분석하였다. 수문인자의 변화 분석을 위해서 1995년도 금강 상류의 보청천 유역에 대해서 획득된 5개의 Landsat TM 자료를 이용하였으며, COST 모델을 이용하여 대기보정을 수행하였다. 연구결과, 토양중에 포함된 수분의 양과 태양고도각의 변화에 따라 알베도가 크게 변화하는 것으로 나타났으며, Landsat TM 자료로부터 추출된 지표면 온도와 기상관측을 통해서 얻어진 대기온도 사이의 차이가 $2.5^{\circ}C$ 내지 $3.86^{\circ}C$로 나타났다.

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베이지안 다중 비교차 분위회귀 분석 기법을 이용한 비정상성 빈도해석 모형 개발 (A Development of Nonstationary Frequency Analysis Model using a Bayesian Multiple Non-crossing Quantile Regression Approach)

  • 오랑치맥 솜야;김용탁;권영준;권현한
    • 한국연안방재학회지
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    • 제4권3호
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    • pp.119-131
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    • 2017
  • Global warming under the influence of climate change and its direct impact on glacial and sea level are known issue. However, there is a lack of research on an indirect impact of climate change such as coastal structure design which is mainly based on a frequency analysis of water level under the stationary assumption, meaning that maximum sea level will not vary significantly over time. In general, stationary assumption does not hold and may not be valid under a changing climate. Therefore, this study aims to develop a novel approach to explore possible distributional changes in annual maximum sea levels (AMSLs) and provide the estimate of design water level for coastal structures using a multiple non-crossing quantile regression based nonstationary frequency analysis within a Bayesian framework. In this study, 20 tide gauge stations, where more than 30 years of hourly records are available, are considered. First, the possible distributional changes in the AMSLs are explored, focusing on the change in the scale and location parameter of the probability distributions. The most of the AMSLs are found to be upward-convergent/divergent pattern in the distribution, and the significance test on distributional changes is then performed. In this study, we confirm that a stationary assumption under the current climate characteristic may lead to underestimation of the design sea level, which results in increase in the failure risk in coastal structures. A detailed discussion on the role of the distribution changes for design water level is provided.

마르코프 체인 모형을 이용한 직종별 취업자의 공간적 분포 변화 예측 (Prediction for the Spatial Distribution of Occupational Employment by Applying Markov Chain Model)

  • 박소현;이금숙
    • 대한지리학회지
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    • 제51권4호
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    • pp.525-539
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    • 2016
  • 본 연구는 사후분포를 예측하는 베이지안 추정기법의 일환인 마르코프 체인 모형을 적용하여 직업요인 인구이동에 따른 직종별 취업자의 공간적 분포에 나타나는 변화를 예측하였다. 이를 위해 인구이동의 사유 중 직업요인 이동량을 추출하여 직업을 요인으로 하는 인구이동 패턴을 파악하고, 직업요인 인구이동의 추이확률 산출 값을 토대로 채프만-콜모고로프 방정식을 구축하여 장래 지역별 취업자 분포와 직종분포의 변동성을 예측하였다. 분석결과, 서울의 취업자 분포가 감소할 것으로 예측되나 직종 중 단순노무 종사자는 증가할 것으로 예측되었다. 전문가 및 관련 직의 경우 수도권과 일부 광역시를 제외한 모든 지역에서 증가할 것으로 추정되었고, 강원, 충청지역은 전체 직업군의 취업자 분포에 있어 증가세를 나타낼 것으로 예측되었다. 본 연구 결과는 향후 지역 노동시장의 원활한 인력수급이 가능하도록 유입, 유출될 가능성이 높은 인력 및 직종을 중심으로 직업훈련, 취업알선 등 고용지원 서비스를 통해 사전 대비하는 방안 마련에 기초자료로 활용될 수 있다.

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