• Korea Trade Review
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• v.42 no.6
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• pp.111-129
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• 2017

According to the World Bank statistics, China's contribution to global economic growth during the year of 2013-2016 was estimated at 31.6 percent. This figure is even larger than 29.0 percent, the contribution by summing each contribution of the United States, EU and Japan. The Chinese commodity trade accounts for up to 11.5 percent of world trade volume. Thus, we can consider that the Chinese economy has a strong influence on the global economy. The primary purpose of this study is to analyze the contribution level of Chinese seaborne trade volume on world economy. First, this study conducted a time-lag analysis using Moran test, so we can find that China's level of contribution to global economic growth varies from time to time. The contribution of the first phase (1999-2007) was nearly three times higher than the contributions from the second phase (2008-2016), suggesting that the overall contraction of the global trade volume starting from the subprime mortgage crisis in 2008 has continued until recently and recovery has not even occurred. Second, using the econometrics model, this study conducted an regression analysis of the impact of Chinese imports and exports in chemicals, grain, steel, crude oil, and container on global economic growth. Fixed effects model with time series data has been applied to examine the effect of Chinese seaborne trade volume on global economic growth. According to the empirical analysis of this study, China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain have significant contributions to global economic growth. Estimates of China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain are 1.023, 1.020, 1.019, 1.007 and 1.006, respectively. For example, the estimated value 1.023 of China's exports of steel products means that the growth rate can be 1.023 times higher than the current world GDP growth rate if Chinese seaborne trade volume of exports of steel products increased by one unit (one million tons). This study concludes that the expansion of China's imports and exports should be realized first to increase the global GDP growth rate. The expansion of Chinese trade can lead to a simultaneous stimulus of production and consumption in China, which can even lead to global economic growth ultimately. Thus, depending on how much China's trade will be broaden in the future, the width of global economic growth can be determined.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.673-683
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• 2013

Purpose : This study aimed to examine the causal relationships among knowledge, stigma prejudice, attitude, social interaction which are factors affecting the Nursing Intention for AIDS patients. Method : Data were collected from June 20 to August 10, 2012, 268 nurses in general hospital located in and outside of Seoul, who were selected using convenience sampling. For hypothesis testing, the collected data were analyzed using AMOS 19. Results : Analysis of the path coefficients in this study showed that 41% of the variation in Nursing Intention could be explained by variation in the model. Social Interaction and Attitude directly affected the Nursing Intention. Social Interaction was found to be the most important predictive factor to explain Nursing Intention. Conclusion : This study found that there are need to increase possibility of social interaction and make positive changes in attitude toward AIDS patient care in order to improve Nursing Intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5130-5139
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• 2012

The research purposes is apply to the expectation theory for the China's entrepreneurs want to know the relations model among the entrepreneurial activities, performance and growth intentions. According to the study, all of hypothesis have been suggested. In other words, entrepreneurial activities, growth intentions and performance effects and growth intentions show the mediated effect in the research.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.4
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• pp.21-28
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• 2001

In this study, GNLP(GIS linked non-linear network analysis program) for pipeline system analysis has been developed. This GNLP gets the input data for pipeline analysis from existing GIS(geographic information system) data automatically, and has GUI(graphic user interface) for user. Non-Linear Method was used for hydraulic analysis of pipe network based on Hazen-Williams equation, and Microsoft Access of relational database management system(RDBMS) was used for the framework of database applied program. GNLP system environment program was improved so that a pipe network designer can input information data for hydraulic analysis of pipeline system more easily than that of existing models. Furthermore this model generate output such as pressure and water quantities in the form of a table and a chart, and also produces output data in Excel file. This model is also able to display data effectively for analysed data confirmation and query function which is the core of GIS program.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.301-313
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• 2015

Robot technology has become a crucial part of today's business operation. In fact, more manufacturing firms have been utilizing robot technology in order to increase operational efficiency and productivity. Thus, this study develops the research model investigating firms; behavior for process innovation with intelligent robot. Three categories - Technical, Entrepreneur, and Environmental characteristic - are proposed in the research model as determinants of process innovation. These three characteristics include six variables(Perceived Direct Usefulness, Perceived Indirect Usefulness, Innovation, Risk Senstivity, Perceived Industry Pressure, and Perceived Government Pressure) as influencing factors on process innovation. The data from 77 employee at manufacturing firms were analyzed to test proposed hypotheses. The results reveal that all variables with exception of Perceived Government Pressure have a significant influence on process innovation. Based on the study results, theoretical and practical implications for process innovation with intelligent robot technology are discussed.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.6
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• pp.46-55
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• 2016

Three small scale hollow circular reinforced concrete columns(4.5 aspect ratio) were tested under cyclic lateral load with constant axial load. Diameter of section is 400 mm, hollow diameter is 200 mm. The selected test variable are transverse steel ratio. Volumetric ratio of spirals of all the columns is 0.302~0.604% in the plastic hinge region. It corresponds to 45.9~91.8% of the minimum requirement of confining steel by Korean Bridge Design Specifications, which represent existing columns not designed by the current seismic design specifications or designed by seismic concept. The final objectives of this study are to provide quantitative reference data and tendency for performance or damage assessment based on the performance levels such as cracking, yielding, steel fracture, etc. In this paper, describes mainly failure behavior, strength degradation behaviour, displacement ductility of circular reinforced concrete bridge columns with respect to test variables.

• Computational Structural Engineering
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• v.6 no.4
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• pp.89-98
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• 1993

As the construction of nuclear power plants are increased, nuclear wastes disposal has been faced as a serious problem. If nuclear wastes are to be buried in the underground stratum, thermo-mechanical behavior of stratum must be analyzed, because high temperature distribution has a significant effect on tunnel and surrounding stratum. In this study, in order to analyze the structural behavior of the underground which is subject to concentrated heat sources, a coupling method of nonlinear finite elements and linear boundary elements is proposed. The nonlinear finite elements (NFE) are applied in the vicinity of nuclear depository where thermo-mechanical stress is concentrated. The boundary elements are also used in infinite domain where linear behavior is expected. Using the similar method as for the problem in mechanical field, the coupled nonlinear finite element-boundary element (NFEBE) is developed. It is found that NFEBE method is more efficient than NFE which considers nonlinearity in the whole domain for the nuclear wastes depository that is expected to exhibit local nonlinearity behavior. The effect of coefficients of the rock mass such as Poisson's ratio, elastic modulus, thermal diffusivity and thermal expansion coefficient is investigated through the developed method. As a result, it is revealed that the displacements around tunnel are largely dependent on the thermal expansion coefficients.

• Science of Emotion and Sensibility
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• v.23 no.3
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• pp.91-102
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• 2020

Contingent self-esteem can be maintained by meeting the standards of social or introjected values. This study investigated whether social media-related contingent self-esteem was associated with depression in Instagram users; in a sample of 319 Instagram users, we examined the effect of contingent self-esteem on depression and the mediating effect of upward social comparison on this theorized relationship. The study findings indicated that higher contingent self-esteem predicted higher levels of depression for a week in Instagram users, which could be explained by the upward social comparisons made on this application, and showed that Instagram users with higher contingent self-esteem tended to compare themselves with other users they considered superior, thereby increasing their depression. This study provided evidence for the mechanism underlying the association between using social media and psychological well-being and indicated the vulnerability of contingent self-esteem within the social media context. Other implications and future research directions were also discussed.

• Journal of Korea Water Resources Association
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• v.36 no.6
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• pp.961-969
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• 2003

Formulation of quasi-dynamic wetness index was derived to predict the spatial and temporal distribution of the soil moisture. The algorithm of dynamic wetness index was developed through introducing the convolution integral with the rainfall input. The spatial and temporal behaviors of the wetness index of the Sulmachun Watershed was calculated using the digital elevation model(DEM) and the rainfall data for two years. The spatial distribution of the dynamic wetness index shows most dispersive feature of flow generation among the three assumptions of steady, quasi-dynamic and dynamic. The statistical distribution of the quasi-dynamic wetness index and the dynamic wetness index approximate to the steady state wetness index as the time step is increased. The dynamic wetness index shows mixed distribution of the normalized probability density function.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.863-868
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• 2009

최근에 이상기후로 인해 예측하기 힘든 기상현상들이 돌발적이고 대규모의(또는 설계빈도를 초과하는) 집중호우를 야기하여 댐과 같은 수공구조물의 안전을 위협하고 있다. 그러므로 이러한 대규모의 집중호우로 발생되는 댐의 붕괴에 대한 대책을 수립하는 것이 매우 중요하다. 특히 댐의 붕괴가 도시의 침수로 이어지는 경우는 더욱 많은 인명과 재산피해를 발생시키므로 도시지역을 흐르는 범람홍수파의 특성에 대한 규명은 매우 중요하다. 본 연구에서는 홍수범람파의 특성을 3차원 수치모형인 FLOW-3D를 이용하여 모의하였다. 저류 수심 0.4m, 두께 0.8m의 댐이 붕괴하여 붕괴폭이 1m가 된다고 가정하였고, 도시지역은 댐으로부터 5m 거리에 위치한다고 가정하였다. 대상 도시지역은 $0.3m{\times}0.3m{\times}0.6m$($L{\times}W{\times}H$)인 정사각형 블록들을 $5{\times}5$ 정방향으로 배치하였고, 수리실험 결과와 비교 검증하였다. 그리고 범람홍수파가 흐름방향과 일치하게 접근해오는 경우와 도시지역으로의 접근각도에 따른 범람홍수파의 변화를 보기위해 흐름방향에 대하여 각각 $10^{\circ}$, $22.5^{\circ}$, $45^{\circ}$ 회전시킨 경우에 대해 수치모의를 수행하였다. 그리고 각 경우의 침수영향들을 비교하여 그 차이점을 분석하였다. 모의 결과 범람홍수파의 접근각도가 흐름방향에 대해 커질수록 도시선단에서 도수는 적게 일어났고 유속도 감소하였으며, 수심은 증가하였다. 본 연구의 결과를 토대로 범람홍수파가 흐름방향과 일치하게 접근해 올 때가 가장 위험한 case 라는 것을 알 수 있다. 이 결과는 추후 유체-구조물간의 연성해석을 통하여 범람 홍수파의 흐름이 건물에 주는 영향까지 파악한다면 예방대책 수립의 보다 더 정확한 기초자료로 활용할 수 있을 것이다.