• Title/Summary/Keyword: Standard deviations

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Transformation from Non-Standard Space Groups to Standard Ones of Monoclinic System (단사정계의 비표준공간군을 표준공간군으로 변환)

  • O, Mi-Ran;Kim, Gyeong-Han;Seo, Il-Hwan
    • Korean Journal of Crystallography
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    • v.7 no.2
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    • pp.196-200
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    • 1996
  • The transformation processes from unit cell data, Miller indices and atomic coordinates of non-standard space groups to the ones of the standard space groups in monoclinic system and the calculation processes of their standard deviations have been shown and computerized. The computer programs can be applied to all the seven crystal systems.

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Reliability Analysis of Gas Turbine Engine Blades (가스터빈 블레이드의 신뢰성 해석)

  • Lee, Kwang-Ju;Rhim, Sung-Han;Hwang, Jong-Wook;Jung, Yong-Wun;Yang, Gyae-Byung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.12
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    • pp.1186-1192
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    • 2008
  • The reliability of gas turbine engine blades was studied. Yield strength, Young’s modulus, engine speed and gas temperature were considered as statistically independent random variables. The failure probability was calculated using five different methods. Advanced Mean Value Method was the most efficient without significant loss in accuracy. When random variables were assumed to have normal, lognormal and Weibull distributions with the same means and standard deviations, the CDF of limit state equation did not change significantly with the distribution functions of random variables. The normalized sensitivity of failure probability with respect to standard deviations of random variables was the largest with gas temperature. The effect of means and standard deviations of random variables was studied. The increase in the mean of gas temperature and the standard deviation of engine speed increased the failure probability the most significantly.

Development of the Index for Estimating the Arc Status in the Short-circuiting Transfer Region of GMA Welding (GMA용접의 단락이행영역에 있어서 아크 상태 평가를 위한 모델 개발)

  • 강문진;이세헌;엄기원
    • Journal of Welding and Joining
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    • v.17 no.4
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    • pp.85-92
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    • 1999
  • In GMAW, the spatter is generated because of the variation of the arc state. If the arc state is quantitatively assessed, the control method to make the spatter be reduced is able to develop. This study was attempted to develop the optimal model that could estimate the arc state quantitatively. To do this, the generated spatters was captured under the limited welding conditions, and the waveforms of the arc voltage and of the welding current were collected. From the collected waveforms, the waveform factors and their standard deviations were produced, and the linear and non-linear regression models constituted using the factors and their standard deviations are proposed to estimate the arc state. the performance test to the proposed models was practiced. Obtained results are as follow. From the results of correlation analysis between the factors and the amount of the generated spatters, the standard deviations of the waveform factors have more the multiple regression coefficients than the waveform factors. Because the correlation coefficient between T and {TEX}$T_{a}${/TEX}, and s[T] and s[{TEX}$T_{a}${/TEX}] was nearly one, it was found that these factors have the same effect to the spatter generation. In the regression models to estimate the arc state, it was fond that the linear and the non linear models were also consisted of similar factors. In addition, the linear regression model was assessed the optimal model for estimating the arc state because the variance of data was narrow and multiple regression coefficient was highest among the models. But in the welding conditions which the amount of the generated spatters were small, it was found that the non linear regression model had better the estimation performance for the spatter generation than the linear.

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Correlation between Design Consistency and Accident Rates based on Standard Deviations of Highway Design Elements (도로선형설계요소의 표준편차를 이용한 설계일관성과 교통사고와의 상관성)

  • Oh, Heung-Un
    • International Journal of Highway Engineering
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    • v.11 no.2
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    • pp.159-166
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    • 2009
  • On freeways, factors inducing traffic accidents consist of two major elements such as driver factors and road environment factors. Research have been done and shown that there would be relationship between design elements such as radius, slopes, superelevations, and observed speeds and accident rates. The present paper confirms that these elements are correlated with accident rates. Furthermore, the paper identifies standard deviation of these elements as the design consistency and compare them with reduction of accident rates. This type of work leads to identify the fact that standard deviations based design consistency are correlated with accident rates. The results of the paper may contribute to encourage the quantified use of design consistency during highway design.

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Estimation of Unknown Parameters in Optimum Allocation

  • Park, Hyeonah;Park, Seunghwan;Na, Seongryong
    • Communications for Statistical Applications and Methods
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    • v.20 no.2
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    • pp.137-145
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    • 2013
  • The use of pooled standard deviation can reduce the efficiency loss in optimum allocation when strata standard deviations are estimated and several of them are equal. Also shown is that the pooled standard deviation is useful in optimum allocation under a multivariate setting. In addition to theoretical development, we provide the result of simulation study to support the theory.

Performance Improvement of Robust Speaker Verification According to Various Standard Deviations of a Reference Distribution in Histogram Transformation (히스토그램 변환에서 기준분포의 표준편차 변경에 따른 강인한 화자인증 성능 개선)

  • Kwon, Chul-Hong
    • Phonetics and Speech Sciences
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    • v.2 no.3
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    • pp.127-134
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    • 2010
  • Additive noise and channel mismatch strongly degrade the performance of speaker verification systems, as they distort the features of speech. In this paper a histogram transformation technique is presented to improve the robustness of text-independent speaker verification systems. The technique transforms the features extracted from speech such that their histogram is conformed to a reference distribution. The effect of different standard deviations for the reference distribution is investigated. Experimental results indicate that, in channel mismatched environments, the proposed technique offers significant improvements over existing techniques. We also verify performance improvement of the proposed method using statistics.

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Stochastic Finite Element Analysis Modeling of Plane Structure (평면요소의 확률론적 유한요소해석 모델의 개발)

  • 윤성수;고재군
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.35 no.3
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    • pp.91-99
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    • 1993
  • The loads and resistances are random in nature. It Is thus necessary to consider these variabilities for more reasonable and reliable structural analysis. The purpose of the present study is to develop a stochastic finite element program which can analyze plane structures. The model requires only the means, standard deviations and distribution types of the load and resistance varualbes. This model can determine from the analysis the means and standard deviations of nodal displacement for all nodal points. The implemention results show good agreement at 10% significant level with the simulation results, if material properties and load conditions fallow the normal distribution.

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Dynamic Analysis of Multi-body Systems Considering Probabilistic Properties

  • Choi, Dong-Hwan;Lee, Se-Jeong;Yoo, Hong-Hee
    • Journal of Mechanical Science and Technology
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    • v.19 no.spc1
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    • pp.350-356
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    • 2005
  • A method of dynamic analysis of mechanical systems considering probabilistic properties is proposed in this paper. Probabilistic properties that result from manufacturing tolerances can be represented by means and standard deviations (or variances). The probabilistic characteristics of dynamic responses of constrained multi-body systems are obtained by two ways : the proposed analytical approach and the Monte Carlo simulation. The formerpaper, necessitates sensitivity information to calculate the standard deviations. In this a direct differentiation method is employed to find the sensitivities of constrained multi-body systems. To verify the accuracy of the proposed method, numerical examples are solved and the results obtained by using the proposed method are compared to those obtained by Monte Carlo simulation.