• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1844-1845
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• 2007

A CUSUM control chart was used to monitor semiconductor plasma equipment. The performance of plasma monitoring was evaluated with various combinations of design variables involved in CUCUM control chart. Experimental data collected by using a real-time matching monitoring system include electrical positions of impedance and phase positions, and reflected power. The evaluation revealed that by determining specific design variables plasma states could be more strictly monitored.

• Journal of the Korean Data and Information Science Society
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• 제26권4호
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• pp.1027-1034
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• 2015

A control chart is very useful in monitoring various production process. There are many situations in which the simultaneous control of two or more related quality variables is necessary. When the joint distribution of the process variables is multivariate normal, multivariate Shewhart control charts using the function of the maximum likelihood estimator for monitoring the dispersion matrix are considered for the simultaneous monitoring of the dispersion matrix. The performances of the multivariate Shewhart control charts based on the proposed control statistic are evaluated in term of average run length (ARL). The performance is investigated in three cases, where the variances, covariances, and variances and covariances are changed respectively. The numerical results show that the performances of the proposed multivariate Shewhart control charts are not better than the control charts using the trace of the covariance matrix in the Jeong and Cho (2012) in terms of the ARLs.

• 한국시뮬레이션학회논문지
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• 제5권1호
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• pp.91-106
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• 1996

Control Variate (CV) is very useful technique for variance reduction in a wide class of queueing network simulations. However, the loss in variance reduction caused by the estimation of the optimum control coefficients is an increasing function of the number of control variables. Therefore, in some situations, it is required to select an optimal set of control variables to maximize the variance reduction . In this paper, we develop the Adaptive Control Variates (ACV) method which selects an optimal set of control variates during the simulation adatively. ACV is useful to maximize the simulation efficiency when we need iterated simulations to find an optimal solution. One such an example is the Simulated Annealing (SA) because, in SA algorithm, we have to repeat in calculating the objective function values at each temperature, The ACV can also be applied to the queueing network optimization problems to find an optimal input parameters (such as service rates) to maximize the throughput rate with a certain cost constraint.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2006년도 학술발표회 논문집
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• pp.401-408
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• 2006

An optimum design method for hybrid control systems is proposed in this study. By considering both active and passive control systems as a combined or a hybrid system, the optimization of the hybrid system can be achieved simultaneously. In the proposed approach, we consider design parameters of active control devices and the elements of the feedback gain matrix as design variables for the active control system. Required quantity of the added dampers are also treated as design variables for the passive control system. In the proposed method, the cost of both active and passive control devices, the required control efforts and dynamic responses of a target structure are selected as objective functions to be minimized. To effectively address the multi-objective optimization problem, we adopt a preference-based optimization model and apply a genetic algorithm as a numerical searching technique. As an example to verify the validity of the proposed optimization technique, a wind-excited 20-storey building with hybrid control systems is used and the results are presented.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 춘계학술발표대회
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• pp.1213-1214
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• 2012

Global variables can be read or modified by any part of the program, making it difficult to remember or reason about every possible use. Sometime it has tight couplings between some of other variables, and couplings between variables and functions. The main focus of this paper is to use call graph and the control flow analysis to design a model from where we generate the test cases for testing global variables.

• 대한산업공학회지
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• 제39권5호
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• pp.422-428
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• 2013

In many cases, an $\bar{X}$ control chart which is based on the performance variable is used in industrial fields. However, if the performance variable is too costly or impossible to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled using surrogate variables. In this paper, we propose a model for the economic design of a VSI (Variable Sampling Interval) $\bar{X}$ control chart using a surrogate variable that is linearly correlated with the performance variable. The total average profit model is constructed, which involves the profit per cycle time, the cost of sampling and testing, the cost of detecting and eliminating an assignable cause, and the cost associated with production during out-of-control state. The VSI $\bar{X}$ control charts using surrogate variables are expected to be superior to the Shewhart FSI (Fixed Sampling Interval) $\bar{X}$ control charts using surrogate variables with respect to the expected profit per unit cycle time from economic viewpoint.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.2839-2842
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• 1999

This paper describes the design of fuzzy PID controller using simplified indirect inference method. First, the fuzzy PID controller is derived from the conventional continuous time linear PID controller. Then the fuzzification, control-rule base, and defuzzification using SIIM in the design of the fuzzy controller are discussed in detail. The resulting controller is a discrete time fuzzy version of the conventional PID controller, which has the same linear structure. but are nonlinear functions of the input signals. The proposed controller enhances the self-tuning control capability, particularly when the process to be controlled is nonlinear. When the SIIM is applied, the fuzzy inference results can be calculated with splitting fuzzy variables into each action component and are determined as the functional form of corresponding variables. So the proposed method has the capability of the high speed inference and adapting with increasing the number of the fuzzy input variables easily. Computer simulation results have demonstrated the superior to the control performance of the one proposed by D. Misir et al.

• 대한가정학회지
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• 제35권2호
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• pp.33-47
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• 1997

The purpose of the study is to examine the differences between rural and urban in the factors and the level of stress in adolescent, inner control and communication with parents. Also, It is to research the influence of environmental variables, inner control and communication with parents on adolescent's stress in sides of rural and urban. Therefore, I provide needed data in instructing students. For the data set, academic high school students in second grade in a town for rural and Su-Seung gu, Dal-Sugu, chung gu in Dae-gu for urban were chosen. The data were analyzed with the frequency, percentage, factor analysis Mean, S.D, reliability, t-test, regression in use of Spss PC+ Program. The main results are as follow. First, for rural students, stress level is displayed studies, future0affair, life-attitude, companions, self-assurance and home life in order by lower sphere. For urban students, it is displayed future-affair, studies, life-attitude, companions, self-assurance and home life in order by lower shpere. In case of rural "I don't know effective study method" is highly displayed by factors. In case of urban. "I am tired of a competitive life" is highly displayed. The mean of stress level is 3.22 for rural and 3.07 for urban. The differences between rural and urban are showed in self-assurance, studies and companions. Finally when we see the stress generally the stress level is higher in rural high school students than in urban high school students. Second, rural students are lower displayed than urban students in inner control and communication with parents. There is no difference urban students in inner control and communication with parents. There is no difference in communication with a mother. third, influential variables on stress level are inner control, communication with parents, satisfaction with companions and school life as environmental variables in sides of rural and urban. Physical condition is added for rural and sex for urban Finally we get the result that stress level is high in low inner control, poor communication with parents, bad companions and unsatisfied school life for both rural and urban. Bad physical condition for rural and female for urban are added.

• 대한기계학회논문집A
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• 제38권4호
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• pp.363-370
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• 2014

본 연구에서는 NURBS(Non-Uniform Rational B-spline)를 이용한 형상최적화 방법을 제안한다. 대부분 NURBS 기반 형상 최적화 방법은 NURBS의 제어점 위치 좌표 값만을 설계변수로 택하고 있다. 이러한 경우, 형상최적화 과정에서 종종 제어점들이 서로 가까워져 메쉬 품질을 악화시키고 수렴이 되지 않는 등의 문제를 야기시킨다. 본 연구에서는 형상최적화에서 NURBS 제어점의 좌표뿐 아니라 가중치를 추가적으로 설계 변수로 고려하여 세밀한 형상 변화를 가능하게 하고, 제어점 위치 좌표 최적화 과정과 제어점 가중치 최적화 과정을 분리하여 단계적으로 효율적인 형상 최적화를 수행하였다. 제안한 형상최적화 방법을 예제에 적용하여 제안된 방법의 효율성을 검증하였다.

• 한국융합학회논문지
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• 제13권2호
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• pp.223-233
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• 2022

본 연구는 지각된 취약성(Perceived Susceptibility)에 있어서 왜곡현상이라고 할 수 있는 낙관적 편견 외에, 지각된 통제성(Percived Controllbility)에 있어서의 왜곡현상인 통제성 편향(Illusion of Control)을 포함하여 이들 두 변인이 COVID 19 관련 개인방역행동 및 사회적 거리두기 실천과 어떠한 영향관계를 가지는지 검증하고자 하였다.이를 위해 마크로밀 엠브레인의 온라인 패널을 활용하여 설문조사를 실시하였으며, 마스크 착용, 손씻기, 손소독제 사용 등의 개인방역행동을 독립변인으로 하여, 통제성 편향과 낙관적 편견에 어떻게 영향을 주는지를 분석하고, 아울러 낙관적 편견이 사회적 거리두기에 어떠한 영향을 주는지를 회귀분석방법을 통해 분석하였다. 분석 결과, COVID 19 개인방역행동 중 손씻기 실천을 제외하고는 통제성 편향에 유의적인 영향을 주고 있지 않았다. 본 연구에서는 통제성 편향이 낙관적 편견에 영향을 주는 변인인 것으로 나타났으며, 특히 성별과 연령 등 인구학적 변인에 따라 개인방역행동이 통제성 편향에 주는 영향, 통제성 편향이 낙관적 편향에 주는 영향, 그리고 낙관적 편향이 사회적 거리두기에 주는 영향이 다르게 나타났다. 이는 향후 사회적 거리두기 촉진을 위한 개입 프로그램을 마련하는 과정에서 타겟별 차별화된 전략 및 메시지를 마련할 수 있는 근거를 제시해 줄 수 있을 것으로 보인다.