• Journal of Korean Society for Geospatial Information Science
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• v.3 no.1 s.5
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• pp.91-104
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• 1995

The spatial aggregation of data, in transportation and other planning processes, is an important theoretical consideration because the results of any analysis are not entirely independent of the delineation of zones. Moreover, using a different spatial aggregation may lead to different, and sometimes contradictory conclusions. Two criteria have been considered as important in designing zone systems. They are scale and aggregation. The scale problem arises because of uncertainty about the number of zones needed for a study and the aggregation problem arises because of uncertainty about how the data are to be aggregated to from a given scale problem. In a transportation study, especially in the design of traffic analysis zone(TAZ), the scale problem is directly related to the number dof zones and the aggregation problem involves spatial clustering, meeting the general requirements of forming the zones system such as equal traffic generation, convexity, and the consistency with the political boundary. In this study, first, the comparative study of delineating spatial units has been given. Second, a FORTRAN-based heuristic algorithm for designing TAZ based on socio-economic data has been developed and applied to the Korean peninsula containing 132 micro parcels. The vector type ARC/INFO GIS topological data mosel has been used to provise the adjacency information between parcels. The results, however, leave some to be desired in order to overcome such problems as non-convexity of the agglomerated TAZ system and/or uneven traffic phenomenon for each TAZ.

• Journal of Korean Tunnelling and Underground Space Association
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• v.8 no.2
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• pp.151-163
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• 2006

Although various methods for effective modeling of pre-reinforced zones have been suggested for numerical analysis of large section tunnels, tunnel designers refer to empirical cases and literature reviews rather than engineering methods because ones who use commercial programs are unfamiliar with a macro-scale approach in general. Therefore, this paper suggests a simple micro-scale approach combined with the macro-scale approach to determine equivalent design parameters for effective numerical modeling of pre-reinforced zones in tunnel. This new approach is to determine the equivalent stiffness of pre-reinforced zones with combination of ground, bulb, and steel in series or/and parallel. For verification, 3-D numerical results from the suggested approach are compared with those of a realistic model. The comparison suggests that two cases make best approximation to a realistic solution: One is related to the series-parallel stiffness system (hereafter SPSS) in which bulb and steel are coupled in parallel and then connected to the ground in series, and the other is the series stiffness system (hereafter SSS) in which only bulb and steel are coupled in series. The SPSS is recommended for stiffness calculation of pre-reinforced zones because the SSS is inconvenient and time-consuming. The SPSS provides slightly bigger vertical displacement at tunnel crown in weathered rock than other cases and give almost identical results to a realistic model for horizontal displacement at tunnel spring line and ground surface settlement. Displacement trends on weathered rock and weathered soil are similar. The SPSS which is suggested in this paper represents the behavior mechanism of pre-reinforced area effectively.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.632-643
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• 2021

The purpose of this study was to examine how the level of self-compassion of correctional workers influenced depression and the simple and double mediating effects of job stress and job autonomy. Although correctional officers experience high levels of stress and depression, there are limited strategies to protect their job performance. The total of 210 correctional workers in S. Korea were included in the final analysis using SPSS PROCESS Macro model 6. For the analysis, Korean Self-Compassion Scale (K-SCS), Korean occupational stress scale (KOSS), and Center for Epidemiological Studies Depression Scale (CESDS) were used. The results of the study were as follows. First, the correlation analysis showed statistically significant relationships between the variables(p<.01). Second, the simple mediating effect of job autonomy was found in the relationship between the self-compassion and depression as well as the double mediating effect of job stress and job autonomy. The influences of low level of self-compassion on mental health (depression) could be modified by improving the level of work related empowerment (job autonomy) as a protective factor. Based on the results of the study, the further study suggestions and limitations were discussed.

• International Journal of Contents
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• v.6 no.2
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• pp.53-58
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• 2010

Social capital is regarded as the alternative plan and the index of healthy society for constructing social tie through solving social problems on the basis of causal relationship between sports, social capital, and healthy society, in order to accomplish sound society. The role of sports to construct healthy society and social capital is emphasized here. To accomplish healthy society amid various social deviations nowadays, the value of sports should be newly recognized and highlighted among the general public. To attain this purpose, organizing sports club as a voluntary association and facilitating its activities, securing confidence for the sports organization and policies, developing and popularizing sports program to form community and civil society should be embodied. The research field of sports sociology should inquire into the most suitable condition in constructing healthy society and social capital, and should make efforts to find out realistic solutions to satisfy this that purpose. To examine this aspect, cooperative research on micro scale and macro scale of trust as social capital interdisciplinary research into the field of psychology and sociology, research on the methodology of the social network, and critical research are required.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.12
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• pp.167-173
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• 2004

Recently, it has been reported that frictional behavior at nanometer scale can be different from that at macro scale. In this article, friction and wear tests were conducted using an AFM to investigate the effect of real contact area on the coefficient of friction and wear property. SiO$_2$, Hica, and SiGe were used in friction test and the AFM tip was Si$_3$N$_4$. The real contact area between an AFM tip and flat surface was calculated by the Johnson-Kendall-Roberts (JKR) theory. Wear specimen was Mica, and the diamond tip was used. We found that the coefficient of friction is constant below a critical area, but it is degraded over the area. Moreover, it is found that wear depth increased rapidly from a certain load and was degraded as a function of the number of the scanning cycles. Also, the range of scanning velocity used in this study had little effect on the wear depth.

• Journal of the Korean Institute of Rural Architecture
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• v.8 no.1
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• pp.62-69
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• 2006

This study is based on the ecological design method related with the Building Landscape in Coastal Area, basically Building Landscape design theories are affected the visual distance and visual area. The results derived of this study are as follows. First, We established design method of Building Landscape in Coastal Area in consideration of Ecological Environment that is purposed by means of the Normative theory study analysis and contents analysis related with Landscape and Architecture planning theory. Second, We can define 'Micro Landscape', 'Urban Landscape', and 'Wide Landscape'. 'Micro Landscape' are 'Near view'. 'Urban Landscape' are related 'Middle-distance view' and 'Long-distance view'. 'Wide Landscape' are related 'High & Long-distance view'. Third, We can also define 'Ecological Mode', 'Formal Aesthetic Mode', 'Psychological Mode', and 'Semiotical Mode' by the dimensions of macro scale. finally, we define 48 detailed factors types of 3 visual Area of Building Landscape in Coastal Area by the dimensions of micro scale.

• Proceeding of EDISON Challenge
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• 2017.03a
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• pp.110-117
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• 2017

Multiscale Simulation은 sub-nano scale의 전자 구조에서부터 macro scale의 multibody system에 이르기까지 다양한 시간/공간 스케일을 관통하는 시뮬레이션 기법이다. 즉, 전자수준에서의 변화로 인한 분자 전체의 구조 변화와 그에 따른 기능의 변화를 알 수 있는 simulation 방법으로 다양한 스케일에서 분자의 정보를 얻을 수 있다는 점에서 최근 중요하게 여겨지는 시뮬레이션 방법 중 하나이다. 따라서 본 연구에서는 몇 가지의 EDISON_CHEM 솔버들을 조합하여 Multiscale Simulation의 가능성을 제시하고자 한다. 또한, 세부적으로 양자계산 시에 어떤 이론을 선택하여 계산하면 더 정확한지, basis set 선택 시 발생하는 basis set superposition error(BSSE)로 인한 분자 수준의 물성의 오차는 어느정도 인지 알아보고자 했다. 본 연구에서는 비교적 간단하지만 온실 가스이자 에너지원으로 각광받고 있는 메탄을 대상으로 하였다. 다양한 시공간 스케일을 다루는 에디슨 솔버들 중에 양자 수준의 계산을 할 수 있는 솔버로는 "GAMESS"를 이용했고, 이 결과를 통해 분자 수준의 물성을 알아보기 위한 솔버로는 "사용자 지정 역장을 사용한 일반 분자동력학(general_MD)"과 "두가지 서로 다른 종류의 LJ입자에 대한 분자동력 시뮬레이션 프로그램(sejong_lj))"을 이용했다. 메탄의 상 전이 과정에 대한 연구 결과 Hartree fock (HF) self-consistent theory를 통해 얻은 force field 보다는 Second-order Møller-Plesset (MP2) perturbation theory로 얻은 force field가 더 정확한 상 전이 온도를 예측한다는 것을 메탄의 coarse-grained simulation을 통해 알 수 있었다. 또한, MP2 이론으로 구한 force field에서 BSSE를 보정해주면 실험적으로 구한 메탄의 상 전이 온도와 더 근사한 값의 시뮬레이션 결과를 얻을 수 있었다. 이를 통해 전자 간의 상호작용을 더 정교하게 계산하는 MP2 이론으로 force field를 구해서 BSSE를 보정해주면 계산의 결과가 정확해진다는 것을 알 수 있었으며 이것이 EDISON_CHEM의 솔버들로 가능하다는 것을 제시하였다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.5
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• pp.67-81
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• 2017

Because of lack of accurate understanding of the mechanism of urban heat island (UHI) phenomenon and lack of scientific discussion, it is hard to come up with effective measures to mitigate UHI phenomenon. This study systematically described the UHI and suggested the solutions using green-infrastructure (green-infra). The factors that control UHI are very diverse: radiant heat flux, latent heat flux, storage heat flux, and artificial heat flux, and the air temperature is formed by the combination effect of radiation, conduction and convection. Green-infra strategies can improve thermal environment by reducing radiant heat flux (the albedo effect, the shade effect), increasing latent heat flux (the evapotranspiration effect), and creating a wind path (cooling air flow). As a result of measurement, green-infra could reduce radiant heat flux as $270W/m^2$ due to shadow effect and produce $170W/m^2$ latent heat flux due to evaporation. Finally, green-infra can be applied differently on the macro(urban) scale and micro scale, therefore, we should plan and design green-infra after the target objects of structures are set.

• Journal of the Society of Naval Architects of Korea
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• v.34 no.1
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• pp.41-49
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• 1997

Computational results from Navier-Stokes equations are presented for the Stokes-wave/flat-plate boundary-layer and wake for small wave steepness(Ak=0.01), including exact and approximate treatments of the viscous free-surface boundary conditions. The macro-scale flow indicate that the variations of the external-flow pressure gradients cause acceleration or deceleration of the streamwise velocity component and alternating direction of the cross flow. Remarkably, the wake displays a greater response, i.e., a bias with regard to favorable as compared to adverse pressure gradients. The micro-scale flow indicates that the free-surface boundary conditions have a profound influence over the boundary layer and near/intermediate wake. Order-of-magnitude estimates are conformed to the computational results. And appreciable errors are introduced through approximations to the free-surface boundary conditions.

• Steel and Composite Structures
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• v.47 no.5
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• pp.601-613
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• 2023

Numerous methods have been proposed in predicting formability of sheet metals based on microstructural and macro-scale properties of sheets. However, there are limited number of papers on the optimization problem to increase formability of sheet metals. In the present study, we aim to use novel optimization algorithms in neural networks to maximize the formability of sheet metals based on tensile curve and texture of aluminum sheet metals. In this regard, experimental and numerical evaluations of effects of texture and tensile properties are conducted. The texture effects evaluation is performed using Taylor homogenization method. The data obtained from these evaluations are gathered and utilized to train and validate an artificial neural network (ANN) with different optimization methods. Several optimization method including grey wolf algorithm (GWA), chimp optimization algorithm (ChOA) and whale optimization algorithm (WOA) are engaged in the optimization problems. The results demonstrated that in aluminum alloys the most preferable texture is cube texture for the most formable sheets. On the other hand, slight differences in the tensile behavior of the aluminum sheets in other similar conditions impose no significant decreases in the forming limit diagram under stretch loading conditions.