• 한국국방경영분석학회지
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• 제25권1호
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• pp.160-168
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• 1999

This research focussed on developing a hit probability model for polygonal target to increase the survivability of weapon systems by its shape design. First, we defined the delivery errors and derived functions for these errors based on the assumption of bivariate normal distribution, and the derived functions for probability of shot hitting of various shapes of polygonal target. Also, we developed computer program for computation of the probability of hitting a general n-sided polygon and we have shown a sample run output. The model could be used to improve the survivability from design phase by designing optimal polygonal shape of weapon system.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.393-403
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• 2003

In this paper, various replacement policies for the general failure model are considered. There are two types of failure in the general failure model. One is Type I failure (minor failure) which can be removed by a minimal repair and the other is Type II failure (catastrophic failure) which can be removed only by a complete repair. In this model, when the unit fails at its age t, Type I failure occurs with probability 1-p(t) and Type II failure occurs with probability p(t), $0{\leq}p(t){\leq}1$. Under the model, optimal replacement policies for the long-run average cost rate and the limiting efficiency are considered. Also taking the cost and the efficiency into consideration at the same time, the properties of the optimal policies under the Cost-Priority-Criterion and the Efficiency-Priority-Criterion are obtained.

• 품질경영학회지
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• 제20권1호
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• pp.1-10
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• 1992

When we compare different control charting schemes, the average run length of each control chart is usually used. The use of the average run length implies that there is unbounded number of samples or observations. The regression recursive residuals, however, have been applied to the cumulative sum chart to detect whether the mean or variance changes. To implement choice of decision interval, we calculate the probability that certain fixed number of control statistics stay in the in-control state. This probability can be used as the significance level of a test for detecting the change in the residual mean or variance of the data with a finite number of observations.

• 품질경영학회지
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• 제31권3호
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• pp.185-192
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• 2003

In this paper, the properties on the optimal replacement policies for the general failure model are developed. In the general failure model, two types of system failures may occur : one is Type I failure (minor failure) which can be removed by a minimal repair and the other, Type II failure (catastrophic failure) which can be removed only by complete repair. It is assumed that, when the unit fails, Type I failure occurs with probability 1-p and Type II failure occurs with probability p, $0\leqp\leq1$. Under the model, the system is minimally repaired for each Type I failure, and it is repaired completely at the time of the Type II failure or at its age T, whichever occurs first. We further assume that the repair times are non-negligible. It is assumed that the minimal repair times in a renewal cycle consist of a strictly increasing geometric process. Under this model, we study the properties on the optimal replacement policy minimizing the long-run average cost per unit time.

• Journal of the Korean Statistical Society
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• 제30권1호
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• pp.89-98
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• 2001

Brown and Proschan(1983) introduced a model for imperfect repair. At each failure of a device, with probability p, it is repaired completely or replaced with a new device(perfect repair), and with probability 1-p, it is returned to the functioning state, but it is only recovered to its condition just prior to failure(imperfect repair or minimal repair). In this paper, we limit the number of consecutive minimal repairs by n. We find some useful properties about $\mu$$_{k}$, the expected time between the k-th and the (k+1)-st repair under he assumption that only minimal repairs are performed. Then, we assign cost to each repair and find the value of n which minimized the long-run average cost for a fixed p under the condition that the life distribution F os the device is DMRL.L.

• 품질경영학회지
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• 제27권4호
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• pp.143-152
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• 1999

In Shewhart control chart, the average run length(ARL) is calculated using the mean of a conventional geometric distribution(CGD) assuming a sequence of identical and independent Bernoulli trials. In this, the success probability of CGB is the probability that any point exceeds the control limits. When the process is in-control state, there is no problem in the above assumption since the probability that any point exceeds the control limits does not change if the in-control state continues. However, if the out-of-control state begins and continues during the process, the probability of exceeding the control limits may take two forms. First, once the out-of-control state begins with exceeding probability p, it continues with the same exceeding probability p. Second, after the out-of-control state begins, the exceeding probabilities may very according to some pattern. In the first case, ARL is the mean of CGD with success probability p as usual. But in the second case, the assumption of a sequence of identical and independent Bernoulli trials is invalid and we can not use the mean of CGD as ARL. This paper concentrate on that point. By adopting one generalized binomial distribution(GBD) model that allows correlated Bernoulli trials, generalized geometric distribution(GGD) is defined and its mean is derived to find an alternative ARL when the process is in out-of-control state and the exceeding probabilities take the second form mentioned in the above. Small-scale simulation is performed to show how an alternative ARL works.

• 한국사회복지학
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• 제45권
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• pp.156-184
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• 2001

This study was designed to look at the relationships between parental child-rearing behavior and personality traits and run-away behavior of youths. For the purpose, this study compared 156 youth from the juvenile correctional systems, and 146 youths from high-schools. The additional focus was to find personality differences between runway youths and non-runway youths, and the effects of parental child-rearing behavior. The findings were as follows; First, high caring and low overprotection, among parental child-rearing behavior, was found to have effects upon adolescents with positive personality factors, whereas parental low caring and high overprotection effected upon negative personality factors among youths. Second, in relationship between runaway behavior and personality factors, it was found that youths with positive meaning in personality factors turned out to be less likely to run away from home, whereas those with negative meaning in 16PF were more likely to run away. Lastly, adolescents in high caring and low overprotection state with parents, proved to have high scores in personality factors, and low probability in runaway behavior.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2001년도 추계학술대회
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• pp.87-97
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• 2001

We consider a stable tandem network which consists of two M/M/1 queues. The optimal changes of measure to run the fast simulation for the probability of rare events such as buffer overflows are obtained.

• 한국통신학회논문지
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• 제27권4B호
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• pp.345-352
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• 2002

본 논문에서는 백색잡음과 페이딩환경에서 IS-95 시스템 역방향의 성능을 평가하는데 있어 컴퓨터 수행시간을 개선할 수 있는 획기적인 방법을 제안하고 제안된 방법의 효율성은 샘플수의 형태로 입증된다. 현재 통신 시스템의 성능분석에 가장 많이 사용되는 MC(Monte Carlo) 시뮬레이션 기법은 낮은 에러율에서 많은 시뮬레이션 수행시간을 요구한다. 때문에 MC 방법은 컴퓨터 수행속도의 한계를 피할 수 없게 된다. 이러한 문제점을 해결하기 위해 제안된 방식인 센트랄 모멘트 기법을 IS-95 시스템 역방향에 적용하여 MC 방법에서 요구되는 데이터 샘플수보다 적은 수신신호의 N차 센트랄 모멘트로부터 이산 확률밀집함수를 얻을 수 있다. 연속된 누적확률분포 함수는 보간법을 통해 정확하게 되고 샘플수에서의 개선 효과가 입증된다.

• 한국해양공학회지
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• 제15권3호
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• pp.20-27
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• 2001

After using the filtering method, wave parameters are calculated by the spectral analysis and wave by wave analysis. Extreme environments and higher wave characteristics int he Chujeon Sea are analyzed using the observed wave data. Higher wave has been intensely emphasized as an important environmental force parameter in several recent research works. The aims of this study are to summarize the distribution of extreme environment for wind waves, and to find occurrence probability of higher wave in Chujeon Sea. Ocean wave statistics varying with sea state are found to respond linearly to the spectral peakedness parameter Qp, mean run-length and Ursell number. Although the spreading of the field results is large, it may be concluded that the tendency of wave group formation depends on the spectral peakedness parameter Qp. Extreme wave is estimated to apply various model distribution functions by using the monthly maximum significant wave parameters which can be used to the design and analysis of coastal structures.