• Journal of the military operations research society of Korea
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• v.32 no.1
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• pp.51-72
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• 2006

There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization is different from that of the actual evaluation agency, the unit under evaluation may get rated lower than what it should deserve. This study suggests an alternative method to evaluate the performance of military units in the situation that there exist critical environmental factors which affect the performance. This method employes DEA, a non parametric method, and Constrained Canonical Correlation Analysis(CCCA), a parametric method which is used to estimate a efficient frontier with multiple dependent variables and constraints. This article also exploits a set of categorical environmental variables in the CCCA to improve the fairness of performance evaluation. It is shown that the introduction of the categorical variables helps evaluating the true performance of individual units such as battalions subordinated to different next higher commanders.

• Korean Journal of Heritage: History & Science
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• v.43 no.2
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• pp.82-119
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• 2010

"Gongchengzuofazeli" was published by the Ministry of Engineering (工部) in 1734, the 12th year of the Yongzheng(雍正) emperor of China's Ching Dynasty. Its purpose was the standardization of building construction and the strengthening of management policies The book records exact measurements of every material used in the building, dividing the building into sections called "dugu (斗口)." It also contains records of the funds that were needed for fair management. Today, it has great historical value because it provides information as to the state of architectural technology and environment of that time. However, the research of Korean architectural historians tends to focus on the "Yingzaofashi(營造法式)" which was written in the Northen Song Dynasty. While the significance of "Gongchengzuofazeli" is widely acknowledged, not enough interest has been garnered to even begin a full-scale translation project. This article, by summarizing in the introduction the basic contents of "Gongchengzuofazeli" and a translation of the first volume in the body, seeks as its purpose to provide data to become the foundation of future research in this area.

• Journal of the Korean Institute of Gas
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• v.7 no.4 s.21
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• pp.20-23
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• 2003

The analysis of reliabilities of process facilities often uses models based on the Weibull distribution. The parameters in these models are functions of operating conditions, and determined by experiments. Using these values, we calculate the reliability, mean time to failure, and standard deviation. The conventional method assumes that the operating condition is constant, and thus treats the model parameters as constants. In this paper, a reliability function is proposed which is applicable when the scale parameter is a function of time, and an analysis method based on this is also presented. A case study on a cooling fan resulted in a big difference from the conventional method to which the average operating conditions were applied. The proposed method is also applicable to other process facilities, and expected to effectively take into account the effects of changes in the operating conditions on the reliabilities of the facilities.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.77-87
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• 2015

Parrondo paradox is the counter-intuitive phenomenon where two losing games can be combined to win or two winning games can be combined to lose. In this paper, we consider an ensemble of players, one of whom is chosen randomly to play game A' or game B. In game A', the randomly chosen player transfers one unit of his capital to another randomly selected player. In game B, the player plays the history-dependent Parrondo game in which the winning probability of the present trial depends on the results of the last two trials in the past. We show that Parrondo paradox exists in this redistribution model of the history-dependent Parrondo game.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.451-466
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• 2020

CCC-r chart is effective for high-quality processes with a very low fraction nonconforming. The values of process parameters should be estimated from the Phase I sample since they are often not known. However, if the Phase I sample size is not sufficiently large, an estimation error may occur when the parameter is estimated and the practitioner may not achieve the desired in-control performance. Therefore, we adjust the control limits of CCC-r charts using the bootstrap algorithm to improve the in-control performance of charts with smaller sample sizes. The simulation results show that the adjustment with the bootstrap algorithm improves the in-control performance of CCC-r charts by controlling the probability that the in-control average number of observations to signal (ANOS) has a value greater than the desired one.

• Convergence Security Journal
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• v.12 no.6
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• pp.85-92
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• 2012

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outliers, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical Process Control (SPC) can monitor the forecasting of software failure and there by contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of log Poission, log-linear and Parto distribution.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.483-490
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• 2015

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do likelihood inference for software reliability models based on finite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The infinite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outlier, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, proposed a control mechanism based on NHPP using mean value function of Musa-Okumo and Power law type property.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.349-356
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• 1995

플라스틱 압출제품의 품질특성은 제품의 강도인데 제품의 강도는 일반중소기업체에서 별도의 측정기구를 갖추고 관리하기가 어려우므로 대용특성으로 제품이 중량을 사용하고 있다. 제품의 중량은 실린더의 온도와 금형의 온도 및 압출속도에 영향을 받는데 일반적으로 현장작업자의 경험과 감에 의존하여 상황에 따라 작업조건을 변화시켜 관리하고 있다. 그런데 작업조건을 관리하는 곳이 실린더에 5군데, 금형에 3군데 및 압출속도 등 아홉가지로 어느 인자가 전체 작업에 영향을 미치는 지 알수 없다. 이때 중회귀(Multiple Linear Regression)모델을 이용하여 실린더와 금형의 온도를 독립변수(Independent Variable)라 두고 제품의 중량을 종속변수(Dependent Variable)로 하여 최근 3개월간의 작업데이타를 수집하여 품질관리 전용 프로그램인 JUSE-QCAS를 사용하면 회귀선의 모수를 쉽게 추정할 수 있으며 제품의 중량에 영향을 미치는 실린더 및 금형의 온도를 관리 할 수 있어 품질을 안정적을 유지.관리할 수 있다.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2002.05a
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• pp.3-8
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• 2002

대규모 수험자를 대상으로 하는 경우, CBT 방식은 PBT 방식에 비해 비용이나 처리 방법에 있어 효율적이라는 장점을 갖고 있다. 하지만, CBT 평가가 제대로 운영되려면 많은 문항으로 구성된 대규모의 문제 은행이 있어야 하며, 기 구축된 문항은 적합성과 공정성이 반드시 보장되어야 한다. 이에 본 연구는 4,000여 명 이상의 수험자를 대상으로 8000문제가 넘는 문제 은행이 구축되어 실제 CBT 시스템을 개발·운영하고 있는 P 대학교 CBLT 테스트 시스템의 문항들을 분석할 방법을 제안한다. 연구 결과 CBLT 테스트 시스템의 문제 은행의 개별 문항들이 출제자 1인의 주관적 판단에 달려있어 문항에 대한 질 관리가 어렵다는 문제점을 해결하기 위해서는 고전검사이론이 적합하다고 판단된다. 그러나 매 시험이 동질한 문항 세트로 구성되기 위해서는 문항에 대한 충분하고 객관적인 자료가 절대적으로 필요하다. 이를 위해서는 CBLT 테스트 시스템과 같이 응답자 수가 2∼300여 명 전후이며, 40문항의 문항 세트에 대한 분석은 2모수 정도가 적당하다고 판단된다.

• Journal of Korean Society for Quality Management
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• v.36 no.4
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• pp.87-92
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• 2008

It is common to use CUSUM charts for detecting small level shifts in processes control, in which reference value(k) and decision interval(h) are the design parameters to be determined. To control process with autocorrelation, CUSUM charts could be applied to residuals obtained from fitting ARIMA models. However, constant level shifts in processes lead to varying mean shifts in residual processes and thus standard CUSUM charts may need to be modified. In this paper, we study the performance of CUSUM charts with various design parameters applied to autocorrelated processes, especially focussing on ARMA(1,1) models, and propose how they can be determined to get better performance in terms of the average run length.