• Composites Research
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• v.16 no.3
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• pp.1-8
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• 2003

Densification occurs by the inelastic flow of the matrix materials during the consolidation processes at high temperature for MMCs, and the results depend on many process conditions such as applied pressure, temperature and volume fraction of fiber and matrix materials. This is particularly important in titanium matrix composites since material failure may occur by either the applied conditions or microstructural parameters through the processes, and thus a generic model based on micro-mechanical approaches enabling the evolution of density over time to be predicted has been developed. The mode developed is then implemented into FEM so that practical process simulation has been carried out. Further the experimental investigation of the consolidation behavior of SiC/Ti-6Al-4V composites using vacuum hot pressing has been performed, and the results obtained are compared with the model predictions.

• Korean Journal of Child Studies
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• v.25 no.3
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• pp.127-140
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• 2004

The subjects of this study were 258 Korean-Chinese parent-child dyads of an elementary school in Yanbian Province, northeastern China. Research questions covered relationships among children's school adjustment and ecological factors, significance of factors within ecological levels, and direct and indirect effects in causal relationships. Results showed significant effects within each ecological level. Achievement motivation of the individual system, home environment and social support of the microsystem, and mother's job satisfaction in the exosystem had significant relationships with children's school adjustment. Mother's education and job satisfaction influenced school adjustment through home environment; the causal relationship between social support and school adjustment was mediated by achievement motivation. Personal and general factors from each ecological level were more significant than ethnic related factors in explaining children's school adjustment.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.75-85
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• 2021

In this paper, we present a deep neural network-based prediction model that processes and analyzes the corporate credit and personal credit information of individual business owners as a new method to predict the default rate of individual business more accurately. In modeling research in various fields, feature selection techniques have been actively studied as a method for improving performance, especially in predictive models including many features. In this paper, after statistical verification of macroeconomic indicators (macro variables) and credit information (micro variables), which are input variables used in the default rate prediction model, additionally, through the credit information feature selection method, the final feature set that improves prediction performance was identified. The proposed credit information feature selection method as an iterative & hybrid method that combines the filter-based and wrapper-based method builds submodels, constructs subsets by extracting important variables of the maximum performance submodels, and determines the final feature set through prediction performance analysis of the subset and the subset combined set.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.226-235
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• 1998

본 논문에서는 추종 모형을 이용한 미시 교통류 시뮬레이션 모형을 개발하고, 이 모형을 통한 시뮬레이션을 통하여 단속류에서 검지기의 설치 위치에 따른 검지 특성을 알아보고, 교통정보 수집용의 검지기의최적 위치에 대해 평가하였다. 검지기로부터 발생하는 교통량, 점유율, 속도 자료중 링크의 통행시간을 가장 잘 반영하는 것은 점유율에 의한 검지기의최적위치는 정지선으로부터 150∼250m이다. 점유율 다음으로 통행시간을 잘 반영하는 자료는 지점속도로서 점유율보다는 상관관계가 낮지만, 양호한 설명력을 가지는 것으로 보인다. 교통량 자료는 상관관계가 낮으며, 교통량에 의한 위치 선정은 각 모의 실험 결과에서 일관적이지 않아 적절한 설명변수가 아니라고 판단하였다. 모든 경우에서, 정지선이나 링크 최상류에 위치한 검지기로부터의 자료는 통행시간과 독립적이므로 이러한 검지기는 교통정보 수집용을 사용할 수 없으며, 일반적인 검지기의최적 위치는 정상상태의 교통류 뿐만 아니라 대기행렬내에 존재하여 매우 혼잡한 상태를 경험할 수 있는 위치라고 할수 있다.

• Economic Analysis
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• v.26 no.4
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• pp.98-136
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• 2020

We empirically investigate the determinants of a firm's exit from exporting, using Korean manufacturing firm-level data for the period from 2006 to 2014. Specifically, we estimate the effects of not only firm-level and industry-level characteristics, but also macroeconomic variables on the probability that a firm stops exporting by applying a Complementary Log-Log Model analysis. The results of our estimation suggest that firm-level heterogeneity, such as workforce size, capital intensity, intangible assets and foreign ownership, industry-level variation, such as the labor displacement rate, and macroeconomic variables, such as domestic demand and world demand, significantly affect the possibility of a firm ceasing exports. Also, we show that market interest rates increase the possibility of an export cessation and that the effects of market interest rates are more pronounced on firms with a higher debt ratio. In the primary exporting industries, the probability of a firm ceasing exports decreases as productivity at the firm rises.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.12
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• pp.1933-1943
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• 2001

A micromechanical model is presented for superplasticity in which heterogeneous microstructures are coupled with deformation behavior. The effects of initial distributions of grain size, and their evolutions on the mechanical properties can be predicted by the model. Alternative stress rate models such as Jaumann rate and rotation incremental rate have been employed to analyze uniaxial loading and simple shear problems and the appropriate modeling was studied on the basis of hypoelasticity and elasto-viscoplasticity. The model has been implemented into finite element software so that full process simulation can be carried out. Tests have been conducted on Ti-6Al-4V alloy and the microstructural features such as grain size, distributions of grain size, and volume fraction of each phase were examined for the materials that were tested at different strain rates. The experimentally observed stress-strain behavior on a range of initial grain size distributions has been shown to be correctly predicted. In addition, the effect of volume fraction of the phases and concurrent grain growth were analyzed. The dependence of failure strain on strain rate has been explained in terms of the change in mechanism of grain growth that occurs with changing strain rate.

• Tunnel and Underground Space
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• v.21 no.3
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• pp.216-224
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• 2011

In this study, Class II behavior of rock failure process under uniaxial and biaxial compression has been numerically simulated using bonded particle model. Class II behavior of rock was simulated by radial strain controlled uniaxial and biaxial compression tests using a suggested method of ISRM. Micro-parameters used in the simulation were determined based on the laboratory uniaxial compression tests carried out at ${\"{A}}sp{\"{o}}$ Hard Rock Laboratory, Sweden. Class II behavior of ${\"{A}}sp{\"{o}}$ rock was effectively simulated using newly proposed numerical technique in this study, and the results of numerical simulations show good similarity with the complete stress-strain curves for Class II behavior obtained from the laboratory tests.

• Journal of the Korean Geotechnical Society
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• v.23 no.3
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• pp.77-88
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• 2007

A micromechanics-based model to simulate the elastic and elastic-plastic behavior of granular soils is developed. The model accounts for the fabric anisotropy represented by the statistical parameter of the spatial distribution of contact normals, the evolution of fabric anisotropy as a function of stress ratio, the continuous change of the co-ordination number relating to the void ratio, and the elastic and elastic-plastic microscopic contact stiffness. Using the experimental data for metallic materials, the elastic-plastic contact stiffness is derived as a power function of the normal contact force as well as the contact force initiating the yielding of contact bodies. To quantitatively assess microscopic model parameters, approximate solutions of cross-anisotropic elastic moduli are derived in terms of the micromechanical parameters.

• Journal of the Korean Society for information Management
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• v.5 no.2
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• pp.23-52
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• 1988

The purpose of this study was to investigate the differential evidence of the effects of management style on job satisfactiori and library performance in the liriiversity of Souther~l Misiissippi's Cook hlcmorial Library. No significa~it hfferences were foutid between management style arid job sarisfartio~t or. between management style and selected performance characteristics of the library ill tlw study. But r l e professional group differed from the no~i-professiotial group on job satisfactiori at rlw 0. 10 levc! of significance. Specially, the professional group differed significantly from the non-profcssiorial group ill iut rinsic sources of job satisfactior, !at the 0.02 level of significancej.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.26 no.6
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• pp.423-430
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• 2013

In this research, a paramteric study to account for the effect of interfacial strength and nanotube agglomeration on the elastoplastic behavior of carbon nanotube reinforced polypropylene composites is performed. At first, the elastoplastic behavior of nanocomposites is predicted from molecular dynamics(MD) simulations. By combining the MD simulation results with the nonlinear micromechanics model based on the Mori-Tanaka model, a two-step domain decomposition method is applied to inversely identify the elastoplastic behavior of adsorption interphase zone inside nanocomposites. In nonlinear micromechanics model, the secant moduli method combined with field fluctuation method is used to predict the elastoplastic behavior of nanocomposites. To account for the imperfect material interface between nanotube and matrix polymer, displacement discontinuity condition is applied to the micromechanics model. Using the elastoplastic behavior of the adsorption interphase zone obtained from the present study, stress-strain relation of nanocomposites at various interfacial bonding condition and local nanotube agglomeration is predicted from nonlinear micromechanics model with and without the adsorption interphase zone. As a result, it has been found that local nanotube agglomeration is the most important design factor to maximize reinforcing effect of nanotube in elastic and plastic behavior.