• Transactions of the Korean Society of Mechanical Engineers A
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• v.20 no.9
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• pp.2833-2842
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• 1996

This paper is to practice optimal rigidity design by the strain energy density estimation method for static buckling and sizing design sensitivity analysis for dynamic buckling of a nonlinear vehicle frame structure from those results. Using these sizing design sensitivity resutls, an optimization of a nonlinear vehicle frame structure with dynamic buckling constraint is carrried out with the graient projection method.

• Journal of Powder Materials
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• v.26 no.4
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• pp.275-281
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• 2019

An artificial neural network (ANN) model is developed for the analysis and simulation of correlation between flake powder metallurgy parameters and properties of AA2024-SiC nanocomposites. The input parameters of the model are AA 2024 matrix size, ball milling time, and weight percentage of SiC nanoparticles and the output parameters are density and hardness. The model can predict the density and hardness of the unseen test data with a correlation of 0.986 beyond the experimental data. A user interface is designed to predict properties at new instances. We have used the model to simulate the individual as well as the combined influence of parameters on the properties. Moreover, we have analyzed the calculated results from the powder metallurgical point of view. The developed model can be used as a guide for further composite development.

• Journal of Korea Water Resources Association
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• v.33 no.3
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• pp.279-288
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• 2000

The impact of land slope to the degree of flow divergence was considered employing distributional applications of slope exponents in the now directlOn algoriUnns. Lmear, exponential and ]X)wer law of distributional functIons were employed to address the variation of slope exponents m a terrain analysis. Dongok subwatershed at Wichun test watershed was selected as a study area. Digital Elevation Models of 20m, 30m, 40m and 50m grid size were made to perfonn the analysis. Various calcualtion methodologies of topographic index and the impact of grid sizes were investigated in terms of statistical and spatial aspects. DIstributional applications of slope e.xponents made it possible to represent the flow divergence and convergence about the ten-ain characteristics. The Monte~Carlo method was used to simulate six runoff events to check the impact of topographic factor in the runoff simulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.156-165
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• 2018

The purpose of this study was to provide a basic data required to improve the satisfaction of life in college students. A sample of 607 students attending the university in Incheon, Korea completed a survey, which consisted of a quality of life questionnaire and sociodemographic inventory. The data were collected between November 14 and November 30, 2016. Data analysis was performed using t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression analysis with SPSS/WIN 18.0 program. The subjective quality of life was significantly correlated with self-leadership (r=.279, p<0.01) and rejection sensitivity (r=-.224, p<0.01). The significant predictors that influence the quality of life of subjects were satisfaction in major, natural reward strategies, gender, anticipated anxiety and grade, in which 27.6% (F=47.27, p<0.01) was the explained variance. (Ed note: confirm) This study showed that rejection sensitivity and self-leadership were significant factors that influenced college students' subjective quality of life. Therefore, college administrators may consider developing educational programs about rejection sensitivity and self-leadership for college students to improve subjective quality of life.