• 한국의류학회지
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• 제16권2호
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• pp.255-262
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• 1992

A computer simulation methiod for costume design has been developed using LUMENA, a generic-purpose 2-dimensional graphic software. In this study the palette, tone chart, fabric chart, styling chart, and costume drawing were constructed on the computer. In costume design simulation, fabric swatches with various colors and patterns were applied to the base garment image taken by using a scanner or a video camera. In this procedure the original 3-dimensional effect was fully retained. Using this simulation method, a number of costume designs could be carried out in short time without actually making the garment. A portfolio including the tone chart, fabric chart, styling chart, costume drawing, and simulation results were made for the purpose of demonstration, using the animation tools of LUMENA.

• 품질경영학회지
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• 제32권4호
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• pp.252-264
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• 2004

Variable sampling Interval (VSI) control charts vary the sampling interval according to value of the control statistic while the sample size is fixed. It is known that control charts with 2-state VSI scheme, which uses only two sampling intervals, give good statistical properties. Variable sample size (VSS) control charts vary the sample size according to value of the control statistic while the sampling interval is fixed. In the VSS scheme no optimal results are known for the number of sample sizes. It is also known that the variable sampling rate (VSR) $\bar{X}$ control chart with 2-state VSS and 2-state VSI scheme leads to large improvements In performance over the fixed sampling rate (FSR) $\bar{X}$ chart, but the optimal number of states for sample size Is not known. In this paper, the VSR Χ charts with multi-state VSS and 2-state VSI scheme are designed and compared to 2-state VSS and 2-state VSI scheme. The multi-state VSS scheme is considered to, achieve an additional improvement by switching from the 2-state VSS scheme. On the other hand, the multi-state VSI scheme is not considered because the 2-state scheme is known to be optimal. The 3-state VSS scheme improves substantially the sensitivity of the $\bar{X}$ chart especially for small and moderate mean shifts.

• Journal of the Korean Data and Information Science Society
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• 제22권1호
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• pp.29-35
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• 2011

결점수를 모니터링하기 위한 통계적 공정관리는 생산공정에 널리 사용된다. 결점 수를 모니터링 하는데는 c-관리도가 사용된다. 전통적인 c-관리도는 표본에서 결점의 발생은 포아송분포를 따른다는 가정 하에서 만들어진다. 포아송분포에 대한 가정이 맞지 않을 때에는 X-관리도가 사용될 수 있다. 누적합 관리도는 공정의 작은 변화를 찾는데 유용한 것으로 알려져 있다. 본 논문에서는 다양한 Katz 분포족으로부터 생성된 계수자료에 대하여 3시그마 X-관리도와 누적합 관리도의 효율을 평균런의길이에 근거하여 비교 한다. 즉, 자료가 어떤 분포로부터 생성되었는지 알 수 없을 때, X-관리도와 누적합 관리도를 비교하는 것이다.

• 품질경영학회지
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• 제49권4호
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• pp.539-550
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• 2021

Purpose: The purpose of this study is to propose a multivariate CUSUM control chart that can detect the out-of-control state fast while monitoring the cross- and auto- correlated multivariate time series data. Methods: We first build models to estimate the observation data and calculate the corresponding residuals. After then, a multivariate CUSUM chart is applied to monitor the residuals instead of the original raw observation data. Vector Autoregression and Artificial Neural Net are selected for the modelling, and Separated-MCUSUM chart is selected for the monitoring. The suggested methods are tested under a number of experimental settings and the performances are compared with those of other existing methods. Results: We find that Artificial Neural Net is more appropriate than Vector Autoregression for the modelling and show the combination of Separated-MCUSUM with Artificial Neural Net outperforms the other alternatives considered in this paper. Conclusion: The suggested chart has many advantages. It can monitor the complicated multivariate data with cross- and auto- correlation, and detects the out-of-control state fast. Unlike other CUSUM charts finding their control limits by trial and error simulation, the suggested chart saves lots of time and effort by approximating its control limit mathematically. We expect that the suggested chart performs not only effectively but also efficiently for monitoring the process with complicated correlations and frequently-changed parameters.

• 해양환경안전학회지
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• 제17권2호
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• pp.137-142
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• 2011

지난 60년간 급속한 항만 개발로 인하여 다량의 해도가 여러 종류의 축척 및 구역으로 제작되어 인접구역이 효과적으로 연결되지 못하거나 과도한 중첩 구역이 발생하는 경우가 있으며 무리한 제분도의 사용으로 이용자에게 혼란 및 불편을 야기하고 있는 실정이다. 이 연구의 목적은 대한민국에서 간행되는 해도의 구역 및 축척별 분석을 통하여 새로운 해도구역 조정안을 제시하는데 있으며 이를 통해 항해 편의를 제공하는데 있다. 합리적인 해도구역 조정을 위하여 연구진이 전문가 의견법을 통하여 개정안을 마련한 후 이용자를 대상으로 한 설문조사 및 도선구역별 도선사 협회의 의견 수렴 등을 통하여 그 타당성을 검증받고 의견을 수렴하여 보완하였다. 연구의 결과로 현재 간행되고 있는 309장의 해도는 334장으로 변경되었다.

• 품질경영학회지
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• 제28권3호
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• pp.44-52
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• 2000

In this paper we apply VSS X chart to the case when two assignable causes effect the process mean shift. We compare the case when two compound assignable causes effect the process mean with another one which effects individually. For the practical use of VSS $\bar{X}$ chart we propose the sample size which minimizes the average number of samples until the signal is given in out-of-control state.

• 품질경영학회지
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• 제26권3호
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• pp.31-45
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• 1998

This paper proposes a method of designing one-sided cumulative scored control charts to control the process mean with a normally distributed quality characteristic. The average run length(ARL) is obtained from the average sample number of sequential probability ratio test(SPRT) on trinomial distribution. Using the analogy between cumulative scored control chart and SPRT for trinomial observations, a procedure is presented to determine three control chart parameters; lower and u, pp.r scoring boundaries and action limit. The parameters are determined by minimizing the ARL when the process is out of control with prespecified ARL when the process is in control.

• 한국농공학회지
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• 제45권3호
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• pp.73-83
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• 2003

Methods of fuzzy C-means have been used to characterize geotechnical information from static cone penetration data. As contrary with traditional classification methods such as Robertson classification chart, the FCM expresses classes not conclusiveness but fuzzy. The results show that the FCM is useful to characterize ground information that can not be easily found by using normal classification chart. But optimal number of classes may not be easily defined. So, the optimal number of classes should be determined considering not only technical measures but engineering aspects.

• 대한인간공학회지
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• 제5권1호
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• pp.43-48
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• 1986

This study aims to investigate the effect of biorhythm to work performance. In order to do this, the data are collected from the manufacturing factory which produce a sportware, and the statistical test are made to testify the relationship between the number of defective items and the biorhythm chart of the workers. The number of defective items which made in the peak day, usual day, and critical day on the worker's biorythm chart are compared with each other, and the statistical test are made to see if there are difference between them, and the correlation analysis are made to see if there is any correlation between the work performance and the biorhythm chart. The result of the statistical test shows that the biorythm of the worker gives an effect to his work performance with a correlation.

• 산업경영시스템학회지
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• 제21권45호
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• pp.365-374
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• 1998

Control Chart is a powerful tool to detect that process is in control or out of control. CIM can have real effect when CIM involve automated quality control. A neural network approach is used for unnatural pattern detecting of control chart. The previous moving window method uses all unnatural pattern that is detected as moving time window. Therefore, It trains a large number of unnatural pattern and takes training time long. In this paper, the proposed method tests a small number of training unnatural pattern which modifies test data without repeating time. We shows that the proposed method has differences In training time and identification rate on the previous moving windows method. As results, we reduced training time and obtain the same identification rate.