• Journal of the Institute of Electronics Engineers of Korea SC
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• v.38 no.2
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• pp.20-30
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• 2001

In the paper, we propose a predictive control scheme using multiple neural network-based prediction models. To construct the multiple models, we select several specific values of a parameter whose variation affects serious control performance in the plant. Among the multiple prediction models, we choose one that shows the best predictions for future outputs of the plant by a switching technique. Based on a nonlinear programming method, we calculate the current process input in the nonlinear predictive control system with multiple prediction models. The proposed control method is shown to be very effective when a parameter of the plant changes or the time delay, if it exists, varies. It is also shown that the proposed method is successfully applied for the control of suspension in a electro-magnetic levitation system.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.376-380
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• 2011

강우사상은 강우량, 지속기간, 강우강도 등의 특성으로 표현될 수 있으며 이런 인자들을 같이 고려할수록 그 현상을 보다 종합적으로 표현할 수 있다. 하지만 현재 일반적으로 이루어지는 일변량 빈도해석절차에서는 지속기간을 고정시켜놓고 각 지속시간에 따른 결과만을 도출해 낼 수 있기 때문에 지속기간에 대해 제약적이고 입력자료에 존재하지 않는 지속기간에 대한 결과를 얻기가 어렵다. Copula모델은 두 일변량 분포형을 다변량 분포형으로 연결하여 주는 모델이다. 따라서 강우량과 지속기간을 변수로 사용하면 Copula모델을 통한 이변량 강우빈도해석은 보편적으로 이루어지고 있는 일변량 지점빈도해석보다 지속기간에 대해 유연한 결과를 나타낼 수 있다. 즉, 강우와 지속기간이 동시에 변수로 사용되기 때문에 임의의 지속기간이나 강우에 대해서 확률강우량 및 확률지속기간을 얻을 수 있다. 본 연구에서는 서울지점을 대상으로 1961∼2009년 동안 발생한 강우사상 중 각 년도에서 최대강우량이 발생한 사상을 추출하여 입력자료로 사용하였다. Copula 모형은 Gumbel-Hougaard, Frank, Joe, Clayton, Galambos등 총 5개의 모델을 적용하였고 각 Copula의 매개변수는 준모수방법인 maximum pseudolikelihood estimator를 이용하여 추정하였다.

• Korean Journal of Microbiology
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• v.52 no.2
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• pp.125-139
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• 2016

Biofilms are considered a complexly structured community of microorganisms derived from their attached growth to abiotic and biotic surfaces. In human life, they mediate serious infections and cause many problems in civil and industrial facilities. While it is of huge interest for scientists to understand biofilms, it has been very hard to directly analyze the various biofilms in nature. A variety of biofilm models have been suggested for laboratory-scale biofilm formation and many methods based on these models are widely used for the biofilm researches. These biofilm models mimic characteristics of environmental biofilms with different advantages and disadvantages. In this review, we will introduce these currently used biofilm model systems and explain their relative merits.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.6
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• pp.238-245
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• 2021

In this study, we carried out case study to predict dissolved oxygen (DO) concentration of Nakdong river estuary with LSTM model. we aimed to figure out a optimal model condition and appropriate predictor for prediction in dissolved oxygen concentration with model parameter and predictor as cases. Model parameter case study results showed that Epoch = 300 and Sequence length = 1 showed higher accuracy than other conditions. In predictor case study, it was highest accuracy where DO and Temperature were used as a predictor, it was caused by high correlation between DO concentration and Temperature. From above results, we figured out an appropriate model condition and predictor for prediction in DO concentration of Nakdong river estuary.

• Journal of the Korean Society of Propulsion Engineers
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• v.26 no.4
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• pp.1-9
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• 2022

In the current study, in order to understand the dynamic response characteristics of the system according to the external acoustic forcing, a numerical approach was developed by adding an sign-sweep forcing function to the existing network model. Through this model, the sensitivity of frequency and pressure amplitude changes according to system parameters such as the physical dimensions and boundary conditions of the target combustor was analyzed in a wide frequency range. Analysis results of dynamic response characteristics of the target combustor are shown that the frequency regime with high dynamic pressure response was similar to the instability frequency range measured in the same combustor, and in particular, the response of the system depends greatly on the location of the acoustic forcing source term.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.200-200
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• 2022

본 연구에서는 총 강우량과 강우강도을 고려한 이변수 분석으로 연최대 호우사상을 선별하고, 두 변수를 Copula 함수로 결합하여 최적의 모델조합을 찾는 확률호우사상 산정 방법론을 제시하였다. 국내 69개 관측소의 2020년까지의 관측 자료를 대상으로 1mm 이하의 강우는 제거한 뒤, IETD(Inter-Event Time Definition) 12시간을 기준으로 강우자료를 독립적인 호우사상으로 분리하였다. 호우사상의 여러 특성 중 양의 상관관계를 갖는 총 강우량과 강우강도를 변수로 선택해 이변수 지수분포에 대입하였고, 각 지점의 연최대 호우사상 시계열을 생성하였다. 2변수 지수분포의 매개변수는 전체 기간과 연도별로 나누어 추정해 본 결과 연도별 변동성이 큰 것을 확인해 연도별 추정 방식을 선택하였다. 연최대 강우사상 시계열의 총 강우량과 강우강도는 극한 강우에 적용하는 확률분포형 중 Lognarmal, Gamma, Gumbel, GEV(Generalized Extreme Value), GPD(Generalized Pareto Distribution) 5가지를 사용하여 각각 CDF(Cumulative distribution Function) 값을 추정하였다. 계산된 CDF 값은 3가지 Copula 모형으로 결합해 joint CDF 값을 산출하였다. 총 75개의 모델조합 중 최적 모델을 찾기 위해 CVM(Cramer-von-Mises) 적합도 검정을 시행하였다. CVM의 통계량 Sn 값이 가장 작은 모델조합을 해당 지점의 최적 모델조합으로 선정하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.11 no.1
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• pp.167-176
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• 1991

Finite element programs are developed, adopting the hyperbolic model and the Cam-clay model. In the hyperbolic model, a new model taking into account the volume change during shear is proposed and a new technique considering the density change underneath a footing is proposed. And a computing algorithm considered as more reasonable than existing one is presented. In the Cam-clay model, the deveoloped program is applied to sand, the case not recorded much, and then it is tried to analiza the behavior of sand from the viewpoint of the critical state concept. For this, the conventional CD triaxial compression tests and the footing model tests are carried out. The results are improved by 60 percent by using the modified hyperbolic model proposed. When the Cam-clay model is applied to sand, a model reflecting the overconsolidation effects and a computing algorithm accounting for the strain softening are needed. The results obtained by using the Cam-clay model are not much influenced by the value of the initial poisson's ratio, but those of the modified hyperbolic model are much influenced by that. So th values of the initial poisson's ratio must be selected deliberately in the numerical analysis.

• Plant Journal
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• v.15 no.4
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• pp.43-51
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• 2019

The stress concentration of the integral welded attachments (IWA) often used to support piping system has been a big issue because it induces local stresses in piping. The method to evaluate local stresses associated with attachments on elbows has been suggested in EPRI TR-107453. However, there are limitations regarding specific parameters range in order to use correlation equation. In this paper, parametric study based on piping elbow size and attachment dimension was performed utilizing finite element analysis (FEA) to evaluate the secondary stress indices of hollow circular cross section welded attachments on piping elbows with the extended parameters range. The results of the FEA were used to develop correlation formulas for calculating secondary stress indices. The empirical equations in this study are suggested as an alternative evaluation method of EPRI TR-107453 by extending parameters range.

• Journal of Wetlands Research
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• v.14 no.3
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• pp.341-352
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• 2012

The purpose of this study is to statistically project future probable rainfall and to quantitatively assess a future flood vulnerability using flood vulnerability model. To project probable rainfall under non-stationarity conditions, the parameters of General Extreme Value (GEV) distribution were estimated using the 1 yr data added to the initial 30 yr base series. We can also fit a linear regression model between time and location parameters after comparing the linear relationships between time and location, scale, and shape parameters, the probable rainfall in 2030 yr was calculated using the location parameters obtained from linear regression equation. The flood vulnerability in 2030 yr was assessed inputted the probable rainfall into flood vulnerability assessment model suggested by Jang and Kim (2009). As the result of analysis, when a 100 yr rainfall frequency occurs in 2030 yr, it was projected that vulnerability will be increased by spatial average 5 % relative to present.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.283-291
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• 2016

This study examined the casual relationship among emotional intelligence, self-efficacy and clinical competence in nursing students, as well as the effects of emotional intelligence on the clinical competence with the mediation of self-efficacy. The participants were 182 nursing students, and the data were collected during from October 14, to November 10, 2014. The data were analyzed using descriptive statistics, Pearson's correlation coefficient, and mediation pathway with the SPSS 21.0 and AMOS 18.0 programs. The results are as follows: First, there were correlations among emotional intelligence, self-efficacy, and clinical competence. Second, The emotional intelligence, and clinical competence showed direct and indirect associations. Emotional intelligence was found to influence the self-efficacy and clinical competence directly, and self-efficacy influenced the clinical competence directly. Mediation analyses indicated that emotional intelligence influences the self-efficacy.