• 산업경영시스템학회지
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• 제17권31호
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• pp.91-98
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• 1994

Most of machines are physically or chemically degenerated by continuous usage. There- fore, a preventive maintenance is necessary. Producing defects are caused by process shift in mean and variance which are due to three types of degeneration. We develope the function of process variance from the experimental data and determine the optimal tool wear limit and the initial setting position of tool by considering the percent defective cost and the preventive maintenance cost.

• Structural Engineering and Mechanics
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• 제32권1호
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• pp.21-36
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• 2009

An importance sampling method is presented for computing the first passage probability of elasto-plastic structures under stochastic excitations. The importance sampling distribution corresponds to shifting the mean of the excitation to an 'adapted' stochastic process whose future is determined based on information only up to the present. A stochastic control approach is adopted for designing the adapted process. The optimal control law is determined by a control potential, which satisfies the Bellman's equation, a nonlinear partial differential equation on the response state-space. Numerical results for a single-degree-of freedom elasto-plastic structure shows that the proposed method leads to significant improvement in variance reduction over importance sampling using design points reported recently.

• Journal of the Korean Data and Information Science Society
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• 제11권2호
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• pp.217-223
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• 2000

In this paper, we develop optimal decision interval exponentially weighted moving average(EWMA) scheme for the process mean and the reciprocal measure of dispersion of the inverse Gaussian distribution.

• 대한기계학회논문집A
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• 제31권1호
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• pp.113-120
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• 2007

Design optimization of layered plates bonding process is conducted by considering uncertainties in a manufacturing process, in order to reduce the crack failure arising due to the residual stress at the surface of the adherent which is caused by different thermal expansion coefficients. Robust optimization is peformed to minimize the mean as well as its variance of the residual stress, while constraining the distortion as well as the instantaneous maximum stress under the allowable reliability limits. In this optimization, the dimension reduction (DR) method is employed to quantify the reliability such as mean and variance of the layered plate bonding. It is expected that the DR method benefits the optimization from the perspectives of efficiency, accuracy, and simplicity. The obtained robust optimal solution is verified by the Monte Carlo simulation.

• Korean Journal of Mathematics
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• 제25권1호
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• pp.45-60
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• 2017

This paper focuses on estimation of an non-integral quadratic function (NIQF) and integral quadratic function (IQF) of a random signal in dynamic system described by a linear stochastic differential equation. The quadratic form of an unobservable signal indicates useful information of a signal for control. The optimal (in mean square sense) and suboptimal estimates of NIQF and IQF represent a function of the Kalman estimate and its error covariance. The proposed estimation algorithms have a closed-form estimation procedure. The obtained estimates are studied in detail, including derivation of the exact formulas and differential equations for mean square errors. The results we demonstrate on practical example of a power of signal, and comparison analysis between optimal and suboptimal estimators is presented.

• 품질경영학회지
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• 제23권3호
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• pp.126-139
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• 1995

We describe a formal approach to the construction of optimal classification rule for the two-group normal classification with equal population mean problem. Based on the utility function of Bernardo, we suggest a balanced design for the classification and construct the optimal rule under the balanced design condition. The rule is characterized by a constrained minimization of total risk of misclassification, the constraint of which is constructed by the process of equation between expected utilities of the two group conditional densities. The efficacy of the suggested rule is examined through numerical studies. This indicates that, in case little is known about the relative population sizes, dramatic gains in accuracy of classification result can be achieved.

• 대한의용생체공학회:의공학회지
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• 제9권1호
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• pp.101-108
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• 1988

In this paper the power spectrum of background EEG is estimated by the LMS PHD based on least mean square. At the power spectrum estimatiom, the stocastic process of background EEG is assumed to consist of the nonharmonic sinusoid and the white noise. In the LMS PHD the model parameters are obtained by the least mean square at optimal order which is obtained from the fact that the eigenvalue's fluctuation of autocorrelation matrix of the normal back-ground EEG is smaller at some order than at other order when the power spectrum of background EEG is esitmated by PHD. The optimal order of this model is the 6-th order when the eigenvalue's fluctuation of autocorrelation matrix of background EEG is considered. The estimation results are with compared the results from the Maximum Entropy Spectral Estimation and Pisarenko Harmonic Decomposition. From the comparison results. The LMS PHD is possible to estimate the power spectrum of background EEG.

• 한국통신학회논문지
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• 제19권10호
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• pp.2001-2013
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• 1994

본 논문에서는 훼손된 영상을 처리하는 방법에 대하여 연구하였다. 기존의 처리방법은 특이점이나 악 조건일 경우 수렴 속도가 늦어진다는 점과 처리시간이 많이 소요되는 단점이 있다. 이러한 단점을 보완하기 위하여 Gauss seidel 방법으로 처리하는 방법이 있으나 이러한 경우 영상을 반복해서 처리해야 하므로 처리시간이 많이 소요된다. 이러한 난점(수렴속도, 전체 처리시간)을 개선하기 위하여 본 논문에서는 기존의 신호처리(Gauss Seidel)와 제안된 알고리즘을 적용시켜 비교하여 봄으로써 특이한 혹은 악조건일 경우에도 수렴속도를 고속화하여 기존의 Gauss-Seidel 신호 처리 방법보다 처리 시간을 단축할 수 있는 영상 복원 방법을 제시하였다. 제안된 최적화 알고리즘을 영상신호에 적용시켜 가속 상수에 따른 처리 신호의 simulation과 MSE(mean-square error)의 변화를 비교하여 봄으로써 처리정도를 알아보았다. 그리고, 본 알고리즘의 유효성을 입증하기 위하여 모든 가속상수의 변화에 대한 영상복원 결과와 처리시간을 측정하여 보았다.

• Journal of Welding and Joining
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• 제26권2호
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• pp.85-91
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• 2008

In general, the quality of a welding process tends to vary with depending on the work environment or external disturbances. Hence, in order to achieve the desirable quality of welding, we should have the optimal welding condition that is not significantly affected by these changes in the environment or external disturbances. In this study, we used a dual response surface method in consideration of both the mean output variables and the standard deviation in order to optimize the V-groove arc welding process. The input variables for GMA welding process with the dual response surface are welding voltage, welding current and welding speed. The output variables are the welding quality function using the shape factor of bead geometry. First, we performed welding experiment on the interested area according to the central composite design. From the results obtained, we derived the regression model on the mean and standard deviation between the input and output variables of the welding process and then obtained the dual response surface. Finally, using the grid search method, we obtained the input variables that minimize the object function which led to the optimal V-groove arc welding process.

• 한국콘텐츠학회논문지
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• 제18권3호
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• pp.34-40
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• 2018

본 연구에서는 모바일 단말에서 재생되는 동영상 서비스의 끊김 현상을 방지할 수 있는 최적의 버퍼 크기를 산정하고자 한다. 버퍼는 VOD서비스를 위해 수신 단말에 도착한 멀티미디어 패킷의 저장 공간을 의미한다. 만약 버퍼 크기가 너무 크면, 재생 서비스 시작 전의 지연시간이 길어지게 된다. 반대로 버퍼 크기가 너무 작은 경우, 수신 단말에 도착한 패킷의 부족으로 재생 서비스가 중간에 멈출 수 있다. 그러므로 적정 버퍼 크기는 모바일 단말에서의 재생 서비스 품질 척도가 될 수 있다. 본 연구에서는 재생 서비스의 버퍼링 과정을 이산시간 대기행렬로 모델링한다. N정책을 갖는 Geo/G/1 대기행렬에서 바쁜기간의 평균길이와 평균 대기시간을 분석한다. 또한 도출된 성능척도를 이용하여 모바일 단말에서의 최적의 버퍼 크기를 결정하는 수치예제를 제시한다. 본 연구 결과를 이용하여 재생 도중의 끊김 현상 방지와 재생 시작 초기의 지연시간 최소화를 달성하여 이용자 만족도를 높일 수 있을 것이다.