• Title/Summary/Keyword: 척도 파라메타

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Lifetime assessment using Weibull probability distribution according to treeing breakdown (트리잉 파괴에 대한 와이블 확률 분포을 이용한 수명 평가)

  • 신성권;김경민;김탁용;이덕진;박세화;김경환;김재환
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2000.07a
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    • pp.620-623
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    • 2000
  • 본 논문은 절연재료의 보이드(void)나 크랙(crack)과 같은 결함이 부분방전을 일으킴으로서 절연재료가 열화되어 최종적으로 파괴에 이른다. 특히 부분방전 중에서 트리잉 열화는 절연재료에 매우 치명적이다. 또한 고전압,고전계 기술분야에서 절연파괴전압이나 일정전압 인가시 수명 시간 데이터는 중요하다. 파괴 통계에 주로 많이 사용하는 와이블 확률 분포를 이용하여 트리잉 파괴에 대한 수명을 평가를 시도하였다. 시료의 형태는 침대 평판전극이고 시료는 저밀도 폴리에틸렌이다 인가 전압은 상용 교류 전압 8,10,12[kV]를 인가하였다. 척도 파라메타는 전압이 증가함에 따라 128.7$\longrightarrow$96.4$\longrightarrow$85.4로 감소하고 형상 파라메타는 전압이 증가함에 따라 2.39$\longrightarrow$2.19$\longrightarrow$2.02로 감소한다. 따라서 시료의 추정 수명은 110분, 81.57분, 49.27분으로 전압이 증가함에 따라 수명이 급격히 단축됨을 알 수 있다.

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Development of the RP and SP Combined using Error Component Method (Error Component 방법을 이용한 RP.SP 결합모형 개발)

  • 김강수;조혜진
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.119-130
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    • 2003
  • SP data have been widely used in assessing new transport policies and transport related plans. However, one of criticisms of using SP is that respondents may show different reaction between hypothetical experiments and real life. In order to overcome the problem, combination of SP and RP data has been suggested and the combined methods have been being developed. The purpose of this paper is to suggest a new SP and RP combined method using error component method and to verify the method. The error component method decomposes IID extreme value error into non-IID error component(s) and an IID error component. The method estimates both of component parameters and utility parameters in order to obtain relative variance of SP data and RP data. The artificial SP and RP data was created by using simulation and used for the analysis, and the estimation results of the error component method were compared with those of existing SP and RP combined methods. The results show that regardless of data size, the parameters of the error component method models are similar to those assumed parameters much more than those of the existing SP and RP combined models, indicating usefulness of the error component method. Also the values of time for error component method are more similar to those assumed values than those of the existing combined models. Therefore, we can conclude that the error component method is useful in combining SP and RP data and more efficient than the existing methods.

Design of Visual Quantizer for very low Bit-rate Coding on JPEG2000 (JPEG2000에서 저 전송 부호화를 위한 비주얼 양자화기 설계)

  • Kim, Dong-Hyeok;Jeon, Joon-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.4
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    • pp.69-78
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    • 2010
  • The irreversible 9/7 JPEG2000, which is one of sub-band coding techniques, has a problem of severe picture quality distortion at the edge and the background caused by the quantization error below 0.15bpp. In this paper, to solve such problems we propose a VQ(Visual Quantizer) based on L-pdf(Laplace probability density function) statistical characteristics of high frequency sub-bands. The proposed VQ is designed by visual parameter for improving the subjective quality and weighting parameter for increasing the compression ratio. A proposed method, based on 9/7 JPEG2000 scheme, gives the high subjective quality to reconstructed images below 0.15bpp and provides minimum MSE(Mean-Squared Error) regardless of the compression ratio.

Efficient Generation of Space Filling Scenarios for Computer Experiments (공간채움 조건을 만족하는 컴퓨터 실험 시나리오의 효율적 생성)

  • Yim, Dong-Soon;Kim, Jung-Hoon;Choi, Bong-Whan
    • Journal of the Korea Society for Simulation
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    • v.22 no.3
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    • pp.15-23
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    • 2013
  • In general, simulation models are effectively used in the field of engineering design. The experiment with simulation models to obtain optimal design parameters, however, is a time-consuming task and requires a lot of resources. Hence, meta-models representing the relationships between input variables and performance measures are exploited to efficiently determine the value of design parameters. To construct a meta-model, a number of simulation executions with sample scenarios are required. The number and quality of sample scenarios determine not only the level of efficiency in constructing the meta-model but also accuracy of the model. Space-filling condition is regarded to be an important condition for the quality of scenarios. This paper proposes sample scenario generation methods based on space-filling measures such as maxmin, Audze-Eglais, and centered L2-discrepancy. The performance of these scenario generation methods are evaluated through experiments.

Building a Model to Estimate Pedestrians' Critical Lags on Crosswalks (횡단보도에서의 보행자의 임계간격추정 모형 구축)

  • Kim, Kyung Whan;Kim, Daehyon;Lee, Ik Su;Lee, Deok Whan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.33-40
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    • 2009
  • The critical lag of crosswalk pedestrians is an important parameter in analyzing traffic operation at unsignalized crosswalks, however there is few research in this field in Korea. The purpose of this study is to develop a model to estimate the critical lag. Among the elements which influence the critical lag, the age of pedestrians and the length of crosswalks, which have fuzzy characteristics, and the each lag which is rejected or accepted are collected on crosswalks of which lengths range from 3.5 m to 10.5 m. The values of the critical lag range from 2.56 sec. to 5.56 sec. The age and the length are divided to the 3 fuzzy variables each, and the critical lag of each case is estimated according to Raff's technique, so a total of 9 fuzzy rules are established. Based on the rules, an ANFIS (Adaptive Neuro-Fuzzy Inference System) model to estimate the critical lag is built. The predictability of the model is evaluated comparing the observed with the estimated critical lags by the model. Statistics of $R^2$, MAE, MSE are 0.96, 0.097, 0.015 respectively. Therefore, the model is evaluated to explain the result well. During this study, it is found that the critical lag increases rapidly over the pedestrian's age of 40 years.