• Composites Research
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• v.26 no.6
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• pp.363-372
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• 2013

Numerical simulation for Resin Transfer Molding manufacturing process is attempted by using the eXtended Finite Element Method (XFEM) combined with the level set method. XFEM allows to obtaining a good numerical precision of the pressure near the resin flow front, where its gradient is discontinuous. The enriched shape functions of XFEM are derived by using the level set values so as to correctly describe the interpolation with the resin flow front. In addition, the level set method is used to transport the resin flow front at each time step during the mold filling. The level set values are calculated by an implicit characteristic Galerkin FEM. The multi-frontal solver of IPSAP is adopted to solve the system. This work is validated by comparing the obtained results with analytic solutions. Moreover, a localization method of XFEM and level set method is proposed to increase the computing efficiency. The computation domain is reduced to the small region near the resin flow front. Therefore, the total computing time is strongly reduced by it. The efficiency test is made with a simple channel flow model. Several application examples are analyzed to demonstrate ability of this method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.249-259
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• 2018

More than half of annual rainfall occurs in summer season in Korea due to its climate condition and geographical location. A frequency analysis is mostly adopted for designing hydraulic structure under the such concentrated rainfall condition. Among the various distributions, univariate Gumbel distribution has been routinely used for rainfall frequency analysis in Korea. However, the distributional changes in extreme rainfall have been globally observed including Korea. More specifically, the univariate Gumbel distribution based rainfall frequency analysis is often fail to describe multimodal behaviors which are mainly influenced by distinct climate conditions during the wet season. In this context, we purposed a Gumbel mixture distribution based rainfall frequency analysis with a Bayesian framework, and further the results were compared to that of the univariate. It was found that the proposed model showed better performance in describing underlying distributions, leading to the lower Bayesian information criterion (BIC) values. The mixed Gumbel distribution was more robust for describing the upper tail of the distribution which playes a crucial role in estimating more reliable estimates of design rainfall uncertainty occurred by peak of upper tail than single Gumbel distribution. Therefore, it can be concluded that the mixed Gumbel distribution is more compatible for extreme frequency analysis rainfall data with two or more peaks on its distribution.

• Journal of Distribution Science
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• v.11 no.4
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• pp.37-49
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• 2013

Purpose - This research identifies the meaning of the core capability level of Car Master and the reason why its service at the Moment of Truth should be demonstrated through empirical cases. It can be seen that this study differs from existing research because it proposes that the recognized core capability level to achieve customer satisfaction should focus on the mediating effect of Moment of Truth quality. This paper examines the effect of Car Master's recognized core capability level on customer satisfaction by using the variables mentioned above. Moreover, this study uses regression analysis to verify that the mediating effect of Moment of Truth quality on Car Master's capability level achieves customer satisfaction. Research design, data, and methodology - First, we present evidence that could apply to Car Master's recognized core capability level by detailing the relationship between customer satisfaction and a structuring factor for Car Master's core capability level. Our proposed research model observes the relationship between the structuring factor of core capability and customer satisfaction. Second, we had an opportunity to define how the core capability and Moment of Truth quality affect customer satisfaction by performing empirical analysis on the partial mediating effect of Moment of Truth quality at a recognized core capability level and Moment of Truth quality affecting customer satisfaction. Results - First, the results indicate that Car Master's recognized core capability level (product professionalism, marketing skill, and reliability) positively affects customer satisfaction. Second, the results show that an ability to listen and a sense of dedication positively affect customer satisfaction, and are among the Moment of Truth quality factors; but performance capability, which is one of the Moment of Truth quality factors, does not positively affect customer satisfaction. These results clearly differ from prior studies focused on Moment of Truth quality and consumer satisfaction. Third, the results show that Moment of Truth quality has a partial mediating effect in terms of the impact of Car Master's recognized core capability level in achieving consumer satisfaction. Conclusions - This research indicates that the company will be able to expand if they investigate and show an interest in more training and education for Car Master. The study verified that outstanding Car Masters show differentiated performance on customer satisfaction at the Moment of Truth in various instances. Thus, we believe that this is the time for a discussion on systematic and empirically recognized core capability levels and the Moment of Truth quality. The study on Car Master's recognized core capability level offers suitable solutions for Car Masters to respond to customers at the Moment of Truth. Further, this study emphasizes the importance of service as a critical factor having a direct relationship with the company's success and failure and contributing to building trust with the customer. Thus, an investment in continuous education and training for Car Master will help the growth of the business.

• Journal of Distribution Science
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• v.10 no.11
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• pp.61-70
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• 2012

Purpose - The entry of Super Supermarkets (SSM), operated by large corporations, into the retail distribution market weakens the competitive power of local supermarkets (SM) and their families leading to a rapid collapse of the local-SM market. Accordingly, this is a very sensitive and urgent issue in Korean society and politics. Therefore, the government is required to take steps to activate a local-SM market and regain the loyalty of their customers. However, in spite of the urgent need of a comparative study on the advantages and competitive power of local-SM in relation to the SSM, little research has been done on this issue to date. One purpose of this study is to analyze the differences in store characteristics of the local SM and SSM, and to explore the relationships amongst various store characteristics, such as consumption emotion, relation quality, and store loyalty between store types to provide an efficient solution to activate a local-SM market. Research design, data, methodology - To analyze the differences in the evaluation of store characteristics between store types, and to test the moderator and mediator effects, data were collected from 488 customers in Seoul, Incheon,and Gyeonggi Province. The theoretical model consists of four hypotheses, and data was processed to test these using factor analysis, t-test, regression analysis, hierarchical regression, and the three step regression proposed by Baron and Kenny. Results - First, the analysis shows that local-SM customers evaluate location characteristic factors significantly higher compared to SSM customers. However, SSM customers evaluate quality of merchandise, sales promotion activities, and store environment significantly higher. Yet, there are no significant differences in the evaluation of consumption emotion, relation quality,and store loyalty between the store types. Second, the analysis of moderator effects of the store type show that sales promotion and store atmosphere factors have a significantly negative moderating effecton positive consumption emotion, while positive consumption emotion has a significantly positive moderating effect on absorption of relation quality, while there are no significant moderating effects between consumption emotion and store loyalty. Third, while both trust and absorption of relation quality are partially mediated between consumption emotion and store loyalty, only absorption is partially mediated between positive consumption emotion and store loyalty. There are no significant mediating effects of absorption between negative consumption emotion and store loyalty. Conclusions - We strongly recommend that location restrictions on entrance of SSM into local-SM market should either be further strengthened or sustained for the activation of the local store market. Government should strengthen financial support to improve the quality of merchandise, sales promotion, employee education, store environment of the local-SM by providing appropriate business consulting. Moreover, the result implies that the owners of alocal-SM should take measures to increase customers' absorption and store loyalty, such as store cleanliness, maintaining a delightful atmosphere at the store, and training employees on attitudes towards customers. As this study is restricted within Seoul, Incheon, and Gyeonggi Province, care needs to be taken in generalizing the interpretation and application to the national level.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.455-462
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• 2020

The purpose of this study was to investigate the effect of behavior type of dance art instructors in elementary dance education on class satisfaction focused on mediations of flow and perceived competence between commanding and positive reward types. A total of 453 questionnaires were analyzed for this study. For the analysis of the data, SPSS 18.0 version was used and double mediation model operating in serial, proposed by Hayes and a bootstrapping method were used. First, instructor's commanding type and positive reward type were statistically positive effect on class satisfaction. Second, the indirect effect of instructor's commanding type, and positive reward type on class satisfaction through the flow was statistically positive significant. Third, the indirect effect of instructor's commanding type, and reward type on class satisfaction through the perceived competence was statistically not significant. Lastly, the indirect effect of instructor's commanding type, and positive reward type on class satisfaction through the flow and perceived competence was statistically positive significant.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.223-233
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• 2020

In academia, lots of startup-related research are conducted to improve startup performance. Most of them are concerned with entrepreneur characteristics, capabilities, and entrepreneurship. In particular, self-efficacy of enterpreneur is emphasized to improve startup performance in addition to entrepreneurial capabilities. Thus, the main research objectives of this study are as follows. First, the impact of entrepreneur characteristics is investigated on self-efficacy and startup performance. Second, the moderating effects of business experience prior to startup and entrepreneurship education are analyzed between entrepreneur characteristics and self-efficacy. Finally, managerial strategies are suggested to maximize startup performance via self-efficacy. 274 samples were collected from independent startups. The proposed research model and 17 hypotheses were verified with structural equation modeling techenique. The empirical findings are as follows. First, psychological characteristics such as achievement desire and risk tolerance positively influenced on self-efficacy. Second, business experience prior to startup showed significant moderating effects on self-efficacy with technological and marketing capabilities. and entrepreneurship education. Third, entrepreneurship education showed significant moderating effects on self-efficacy with achievement desire, risk tolerance, technological and marketing capabilities.

• Magazine of the Korea Concrete Institute
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• v.11 no.1
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• pp.279-288
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• 1999

The creep of concrete structures caused by variable stresses is generally calculated by step-by-step method based on the superposition of creep function. Although most practical application is carried out by this linear assumption. significant deviations between predictions and experiments have been observed when unloading takes place, that is. stress is reduced. This shows that the superposition of creep function does not describe accurately the effect of sustained compressive preload. The main purpose of this study is to propose a creep analysis model which is expressed with both creep function and creep recovery function where increase or decrease of stress is repeated. In these two function method, the creep behavior is modelled by using linear creep law for loading and creep recovery law for unloading. To apply two function method to time analysis of concrete structures, the calculation method of creep strain increment under varying stress is proposed. The calculation results based on the present method correlates very well with test data, but the conventional superposition method exhibits large deviation from test results. This paper provides a more accurate method for the time dependent analysis of concrete structures subjected to varying stress, i.e. increasing or decreasing stress. The present method may be efficiently employed in the revision of future concrete codes.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.12
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• pp.867-876
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• 2013

To promote the carbon emission trading scheme and reduce greenhouse gas (GHG) emission as following 'Korean GHG & Energy Target Management System', GHG emissions should be accurately determined in each industrial sector. For the estimation method of GHG emission from waste landfill, there are several error parameters, therefore we reviewed the estimation method and proposed a revised method. Methane generation from landfill must be calculated by the selected method based on methane recovery rate, 0.75. However, this methodology is not considered about uncertainty factor. So it is desirable that $CH_4$ generation is estimated using first order decay model and methane recovery should use field monitoring data. If not, $CH_4$ recovery could be applied from other study results; 0.60 of operational landfill with gas vent and flaring system, 0.65 of operational site with landfill gas recovery system, 0.90 of closed landfill with final cover. Other parameters such as degradable organic carbon (DOC) and fraction of DOC decompose ($DOC_f$) need to derive the default value from studies to reflect a Korean waste status. Proper application of MCF that is selected by operation and management of landfill requires more precise criteria.

• Journal of the Korean Society for Marine Environment & Energy
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• v.14 no.2
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• pp.114-120
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• 2011

The characteristics of a helical turbine to be used for tidal stream energy conversion have been numerically studied with varying a few design parameters. The helical turbines were proposed aiming at mitgating the well known poor cut-in characteristics and the structural vibration caused by the fluctuating torque, and the basic concept is introducing some twisting angle of the vertical blade along the rotation axis of the turbine. Among many potential controling parameters, we focused, in this paper, on the twisting angle and the height to diameter ratio of the turbine, and, based on the numerical experiment, We tried to propose a configuration of such turbine for which better performance can be expected. The three-dimensional unsteady RANS equations were solved by using the commercial CFD software, FLUENT with k-${\omega}$ SST turbulence model, and the grid was generated by GAMBIT. It is shown that there are a range of the twisting angle producing better efficiency with less vibration and the minimum height to diameter ratio above which the efficiency does not improve considerably.

• Economic and Environmental Geology
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• v.41 no.6
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• pp.747-761
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• 2008

In order to experiment the acoustic remote classification of seabed sediment, we achieved ground-truth data(i.e. video and grab samples, etc.) and developed post-processing for automatic classification procedure on the basis of 300 kHz MultiBeam Echo Sounder(MBES) backscattering data, which was acquired using KONGBERG Simrad EM3000 at Sock-Cho Port, East Sea of South Korea. Sonar signal and its classification performance were identified with geo-referenced video imagery with the aid of GIS (Geographic Information System). The depth range of research site was from 5 m to 22.7 m, and the backscattering amplitude showed from -36dB to -15dB. The mean grain sizes of sediment from equi-distanced sampling site(50 m interval) varied from 2.86$(\phi)$ to 0.88(\phi). To acquire the main feature for the seabed classification from backscattering amplitude of MBES, we evaluated the correlation factors between the backscattering amplitude and properties of sediment samples. The performance of seabed remote classification proposed was evaluated with comparing the correlation of human expert segmentation to automatic algorithm results. The cross-model perception error ratio on automatic classification algorithm shows 8.95% at rocky bottoms, and 2.06% at the area representing low mean grain size.