• Title/Summary/Keyword: Three-component Model

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Nonlinear pH Control Using a Three Parameter Model

  • Lee, Jie-Tae;Park, Ho-Cheol
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.2
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    • pp.130-135
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    • 2000
  • A two parameter model of a single fictitious weak acid with unknown dissociation constant has been successfully applied to design a neutralization system for many multi-component acid streams. But there are some processes for which above two parameter model is not satisfactory due to poor approxmation of the nonlinearity of pH process. Here, for etter control of wide class of multi-component acid streams, a three parameter model of a strong acid and a weak acid with unknown dissociation constant is proposed. The model approximates effectively three types of largest gain variation nonlinearities. Based on this model a nonlinear pH control system is designed. Parameters can eeasily estimated since their combinations appear linearly in the model equations and nonlinear adaptive control system may also be constructed just as with the two parameter model.

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The Influence of Gender Schema on Children's Memory and Preference for Gender Related Tasks (아동의 성 도식과 성관련 과제의 기억 및 선호)

  • Chung, Soon Hwa;Chung, Ock Boon
    • Korean Journal of Child Studies
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    • v.15 no.1
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    • pp.37-53
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    • 1994
  • The primary purpose of this study was to investigate the validity of a component model of gender role and differences in children's gender concepts with age and sex. The secondary purpose was to investigate the relationship between children's gender schema and memory as well as preference for gender related task. 181 children were interviewed about gender concepts and gender related tasks. Results indicated that three dimensions of the component model (i. e., gender label-component links, within-component links, between-component links) were significantly related to each other. The mean scores of gender role knowledge and attitude were different with age but not with sex. The results of the regression analysis showed that children's age, sex, and gender role attitude explained both memory and preference for gender related tasks. The component model had better explanatory power than the simple model. The findings of the present study suggest that children's gender concepts are better described in terms of the component model than the simple model and may contribute to a theoretical rationale for gender schema theory.

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Confidence Intervals in Three-Factor-Nested Variance Component Model

  • Kang, Kwan-Joong
    • Journal of the Korean Statistical Society
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    • v.22 no.1
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    • pp.39-54
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    • 1993
  • In the three-factor nested variance component model with equal numbers in the cells given by $y_{ijkm} = \mu + A_i + B_{ij} + C_{ijk} + \varepsilon_{ijkm}$, the exact confidence intervals of the variance component of $\sigma^2_A, \sigma^2_B, \sigma^2_C, \sigma^2_{\varepsilon}, \sigma^2_A/\sigma^2_{\varepsilon}, \sigma^2_B/\sigma^2_{\varepsilon}, \sigma^2_C/\sigma^2_{\varepsilon}, \sigma^2_A/\sigma^2_C, \sigma^2_B/\sigma^2_C$ and $\sigma^2_A/\sigma^2_B$ are not found out yet. In this paper approximate lower and upper confidence intervals are presented.

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The Relationship between Children's Gender role Attitude and Social Competency (아동의 성역할 태도와 사회적 능력간의 관계)

  • 이경희
    • Journal of the Korean Home Economics Association
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    • v.35 no.1
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    • pp.47-58
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    • 1997
  • The purpose of this study was to investigate the relationship between children's gender role attitude measured by component model and social competency. Subjects were 232 elementary school children: 113 4th graders and 119 6th graders. The main results were as follows. First there were significant differences in mean scores of gender role attitude with age and sex variable. And among three dimensions of component model(i.e, gender label-component links within-component links between-component links) the difference was most discriminant in gender label-component links. Second there were significant relationship between gender role attitude and social competency. Among three dimensions of gender role attitude the most predictor variable for social competency was gender label-component links. And among four dimensions of social competency the most effective criterion variable for gender role attitude was leadership. And there were significant differences in social competency score with mother's educational level and sex of children as well as gender role attitude. In conclusion children's gender role attitude influence their social competency. More flexible gender role attitude they have more improved in their social competency , especially in boys.

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A General Semiparametric Additive Risk Model

  • Park, Cheol-Yong
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.421-429
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    • 2008
  • We consider a general semiparametric additive risk model that consists of three components. They are parametric, purely and smoothly nonparametric components. In parametric component, time dependent term is known up to proportional constant. In purely nonparametric component, time dependent term is an unknown function, and time dependent term in smoothly nonparametric component is an unknown but smoothly function. As an estimation method of this model, we use the weighted least square estimation by Huffer and McKeague (1991). We provide an illustrative example as well as a simulation study that compares the performance of our method with the ordinary least square method.

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Stochastic structures of world's death counts after World War II

  • Lee, Jae J.
    • Communications for Statistical Applications and Methods
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    • v.29 no.3
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    • pp.353-371
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    • 2022
  • This paper analyzes death counts after World War II of several countries to identify and to compare their stochastic structures. The stochastic structures that this paper entertains are three structural time series models, a local level with a random walk model, a fixed local linear trend model and a local linear trend model. The structural time series models assume that a time series can be formulated directly with the unobserved components such as trend, slope, seasonal, cycle and daily effect. Random effect of each unobserved component is characterized by its own stochastic structure and a distribution of its irregular component. The structural time series models use the Kalman filter to estimate unknown parameters of a stochastic model, to predict future data, and to do filtering data. This paper identifies the best-fitted stochastic model for three types of death counts (Female, Male and Total) of each country. Two diagnostic procedures are used to check the validity of fitted models. Three criteria, AIC, BIC and SSPE are used to select the best-fitted valid stochastic model for each type of death counts of each country.

Economic Component Screening Procedures for Multi-Component Products Supplied with Warranty (조립제품을 구성하는 부품에 대한 전수검사 방식의 경제적 설계)

  • Chang, Young-Soon;Bai, Do-Sun
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.4
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    • pp.366-373
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    • 2001
  • Economic component screening procedures for multi-component assembly products supplied with warranty are proposed. It is assumed that the screening variable is continuous and the performance variable is dichotomous. Logistic and normal models are considered; the proportion of conforming items is a logistic function of the screening variable in the logistic model and the screening variable given the performance variable is normally distributed in the normal model. Cost models are constructed which involve three cost components; screening inspection cost for each component, cost due to disposing a rejected component, and warranty cost for an assembly product. Methods of finding the optimal screening procedures are presented and numerical examples are given.

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HYDRODYNAMIC SOLVER FOR A TRANSIENT, TWO-FLUID, THREE-FIELD MODEL ON UNSTRUCTURED GRIDS (비정렬격자계에서 과도 이상유동해석을 위한 수치해법)

  • Jeong, J.J.;Yoon, H.Y.;Kim, J.;Park, I.K.;Cho, H.K.
    • Journal of computational fluids engineering
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    • v.12 no.4
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    • pp.44-53
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    • 2007
  • A three-dimensional (3D) unstructured hydrodynamic solver for transient two-phase flows has been developed for a 3D component of a nuclear system code and a component-scale analysis tool. A two-fluid three-field model is used for the two-phase flows. The three fields represent a continuous liquid, an entrained liquid, and a vapour field. An unstructured grid is adopted for realistic simulations of the flows in a complicated geometry. The semi-implicit ICE (Implicit Continuous-fluid Eulerian) numerical scheme has been applied to the unstructured non-staggered grid. This paper presents the numerical method and the preliminary results of the calculations. The results show that the modified numerical scheme is robust and predicts the phase change and the flow transitions due to boiling and flashing very well.

Optimal Age Replacement Policy of Multi-Component System (다부품시스템의 최적수명교환방침)

  • 정영배
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.11 no.18
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    • pp.35-39
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    • 1988
  • In general, the characteristics of components which consist of multi component system can not be the same. This paper proposes a maintenance model of multi-component system according to the characteristics of each component. In this paper multi-component system is divided into three components-critical component, major component and minor component, respectively. Then we determine the optimal age replacement time of the system which minimizes total maintenance cost. Numerical examples are shown to illustrate the result.

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Repetitive model refinement for structural health monitoring using efficient Akaike information criterion

  • Lin, Jeng-Wen
    • Smart Structures and Systems
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    • v.15 no.5
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    • pp.1329-1344
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    • 2015
  • The stiffness of a structure is one of several structural signals that are useful indicators of the amount of damage that has been done to the structure. To accurately estimate the stiffness, an equation of motion containing a stiffness parameter must first be established by expansion as a linear series model, a Taylor series model, or a power series model. The model is then used in multivariate autoregressive modeling to estimate the structural stiffness and compare it to the theoretical value. Stiffness assessment for modeling purposes typically involves the use of one of three statistical model refinement approaches, one of which is the efficient Akaike information criterion (AIC) proposed in this paper. If a newly added component of the model results in a decrease in the AIC value, compared to the value obtained with the previously added component(s), it is statistically justifiable to retain this new component; otherwise, it should be removed. This model refinement process is repeated until all of the components of the model are shown to be statistically justifiable. In this study, this model refinement approach was compared with the two other commonly used refinement approaches: principal component analysis (PCA) and principal component regression (PCR) combined with the AIC. The results indicate that the proposed AIC approach produces more accurate structural stiffness estimates than the other two approaches.