• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.4 s.163
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• pp.507-518
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• 2007

This study aimed to investigate the competitive advantages of Chinese fashion industry and firms to Korean fashion industry by applying the generalized double-diamond theory. Data collection was done by internet and fax survey. Questionnaires were distributed to the Korean textiles and apparel firms who entered China for production anuor distribution. List of firms were provided by KOFOTI, KOTRA, and Korea Apparel Industry Association. Total 198 questionnaires were distributed, and 77 questionnaires were used for final analysis. The results were follows. Korea's competitiveness scores of double-diamond model were higher in every aspects, such as demand condition, infra/supportive industry, firms's strategy and competition except factor condition. Glottalization score in double diamond model measured by the degree of glottalization which was determined by international diamond factors which make firm's multinational/international activities possible. Chinese fashion industry's globalization score of factor condition was significantly higher than Korea, but for the rest of aspects, Korean fashion industry showed higher scores. Therefore, Korean fashion firms can overcome comparative disadvantage of factor condition by utilizing Chinese fashion industry no matter what type of entry. In addition, considering the growth rate of Chinese fashion industry and its power of influence in the world market, the entry to the global market of the Korean fashion industry can be possible.

• Journal of Korea Water Resources Association
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• v.36 no.1
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• pp.87-104
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• 2003

A numerical model of surface runoff and river flow has been applied to small- and large-size catchment areas in order to investigate the physical characteristics of river flow during flood period. Several refinements are made on the existing model SIRG-RS for the ways of rainfall input through surface runoff, river junction treatment and the computation of river flow on steep slope. For the computation of frictional forces, employed is the power law of friction factor which is a function of Reynolds number and relative roughness height. The empirical equation of friction factor is developed using recent field data as well as laboratory data. The refined model has been applied to small-size catchment area as well as large-size catchment area, and the computation results are found in good agreement with the observations in both cases.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.6
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• pp.393-401
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• 2021

In this paper, we proposed a numerical model based on moment-curvature, to evaluate the resistance of reinforced concrete (RC) members subjected to blast loading. To consider the direct shear failure mode, we introduced a dimensionless spring element based on the empirical direct shear stress-slip relation. Based on the dynamic increase factor equations for materials, new dynamic increase factor equations were constructed in terms of the curvature rate for the section which could be directly applied to the moment-curvature relation. Additionally, equivalent bending stiffness was introduced in the plastic hinge region to consider the effect of bond-slip. To verify the validity of the proposed model, a comparative study was conducted against the experimental results, and the superiority of this numerical model was confirmed through comparison with the analytical results of the single-degree of freedom model. Pressure-impulse (P-I) diagrams were produced to evaluate the resistance of members against bending failure and direct shear failure, and additional parametric studies were conducted.

• Geomechanics and Engineering
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• v.27 no.5
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• pp.497-509
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• 2021

A large deformation FEM (Finite Element Method) based numerical analysis has been performed to study the behaviour of the bell-shaped anchor embedded in undrained saturated (cohesive) soil with the help of finite element based software ABAQUS. A typical model anchor with bell-diameter of 0.125 m, embedded in undrained saturated soil with varying cohesive strength (from 5 kN/m² to 200 kN/m²) has been chosen for studying the characteristic behaviour of the bell-shaped anchor installed in cohesive soil. Breakout factors have been evaluated for each case and verified with the results of experimental model tests for three different types of soil samples. The maximum value of breakout factor was found as about 8.5 within a range of critical embedment ratio of 2.5 to 3. An explicit model has been developed to estimate the breakout factor (F_c) for uplift capacity of bell-shaped anchor within clay mass in terms of H/D ratio (embedment ratio). It was also found that, the ultimate uplift capacity of the anchor increases with the increase of the value of cohesive strength of the soil and H/D ratio. The empirical equation developed in the present investigation is usable within the range of cohesion value and H/D ratio from 5 kN/m² to 200 kN /m² and 0.5 to 3.0 respectively. The proposed model has been validated against data obtained from a series of model tests carried out in the present investigation. From the stress-profile analysis of the soil mass surrounding the anchor, occurrence of stress concentration is found to be generated at the joint of anchor shaft and bell. It was also found that the vertical and horizontal stresses surrounding the anchor diminish at about a distance of 0.3 m and 0.15 m respectively.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.235-247
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• 2010

An environmental factor is very important in a war game model supporting military training. Most war game models in Korean armed forces apply the same weather conditions to all operation areas. As a result, it fails to derive a high-fidelity simulation result. For this reason this study attempts to develop factor techniques for a high-fidelity war game that can apply distributed synthetic atmospheric environment modeling data to a military simulation. The major developed factor technology of this study applies regional distributed precipitation data to the 2D-GIS based Simplified Detection Probability Model(SDPM) that was developed for this study. By doing this, this study shows that diversely distributed local weather conditions can be applied to a military simulation depending on the model resolution from theater level to engineering level, on the use from training model to analytical model, and on the description level from corps level to battalion level.

• Steel and Composite Structures
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• v.42 no.5
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• pp.633-647
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• 2022

This paper presents the results from reliability analyses of the current Eurocode 4 (EN 1994-1-1) and AISC 360-16 design models for predicting the resistance of headed stud shear connectors within profiled steel sheeting, when the ribs are oriented transverse to the supporting beam. For comparison purposes, the performance of the alternative "Luxembourg" and "Stuttgart" model were also considered. From an initial database of 611 push-out tests, 269 cases were included in the study, which ensured that the results were valid over a wide range of geometrical and material properties. It was found that the current EN 1994-1-1 design rules deliver a corrected partial safety factor γ_M^* of around 2.0, which is significantly higher than the target value 1.25. Moreover, 179 tests fell within the domain of the concrete-related failure design equation. Notwithstanding this, the EN 1994-1-1 equations provide satisfactory results for re-entrant profiled sheeting. The AISC 360-16 design equation for steel failure covers 263 of the tests in the database and delivers 𝛾_M^*≈2.0. Conversely, whilst the alternative "Stuttgart" model provides an improvement over the current codes, only a corrected partial safety factor of 𝛾_M^*=1.47 is achieved. Finally, the alternative "Luxembourg" design model was found to deliver the required target value, with a corrected partial safety factor 𝛾_M^* between 1.21 and 1.28. Given the fact that the Luxembourg design model is the only model that achieved the target values required by EN 1990, it is recommended as a potential candidate for inclusion within the second generation of Eurocodes.

• The Journal of Industrial Distribution & Business
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• v.10 no.5
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• pp.7-20
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• 2019

Purpose - This study provides appropriate procedures for EFA to help researchers conduct empirical studies by using PLS-SEM. Research design, data, and methodology - This study addresses the absolute and relative sample size criteria, sampling adequacy, factor extraction models, factor rotation methods, the criterion for the number of factors to retain, interpretation of results, and reporting information. Results - The factor analysis procedure for PLS-SEM consists of the following five stages. First, it is important to look at whether both the Bartlett test of sphericity and the KMO MSA meet the qualitative criteria. Second, PAF is a better choice of methodology. Third, an oblique technique is a suitable method for PLS-SEM. Fourth, a combined approach is strongly recommended to factor retention. PA should be used at the onset. Next, it is recommended using the K1 criterion. In addition, it is necessary to extract factors that increase the total variance explanatory power through the PVA-FS. Finally, it is appropriate to select an item with a factor loading into 0.5 or higher and a communality of 0.5. Conclusions - It is expected that the accurate factor analysis processed for PLS-SEM as previously presented will help us extract more precise factors of the structural model.

• Journal of Korean Society of Rural Planning
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• v.21 no.4
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• pp.115-125
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• 2015

This study is to analyze the preference of experiential activities and behavioral intention on rural tourism, with special focus on parents group of elementary students. The result can be utilized as basic data for demanding aspect of rural experiencing tourism. Two-step questionnaire survey was conducted, during May to July, 2915. Sample group was selected at 4 elementary school in Daegu city. 347 valid responses were analyzed with SPSS. Major results are as follows. Firstly, suggested model for 23 experiential activities in 7 types, were verified as valid by verifying factor analysis. Factor 1 was verified and named as 'Rual Life Experience', Factor 2 was verified and named as 'Health/Healing Experience', Factor 3, as 'Agricultural Product Experience', Factor 4, as 'Eco-Cultural Experience', Factor 5, as 'Leisure/Sports Experience', Factor 6, as 'Traditional Wellbeing Food Experience', and Factor 7, as 'Traditional Culture Experience'. All 7 factors explained 75.39% of total variance. Secondly, mean score of preference by each activity showed high in 'Health-care experience', 'Traditional food experience' and comparatively low in 'Collecting experience', 'Agricultural experience'. Thirdly, all 7 types(factors) of experience showed significant affecting relation to satisfaction, intention to participation and recommendation. Specially, 'Eco-Cultural Experience' and 'Rural Life Experience' showed high affecting relation. This could be the characteristics of parents group of elementary students.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.64-77
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• 2017

Domestic railway station calculates average number of passenger per day by considering future regional society and development of industrial economy etc, is carrying out designs on railway station scale. However, problems are being suggested situationally because selected average passenger data does not consider passengers having been diversified for a year. For representative example, confusion of Gwangju-Songjeong Railway Station got worse due to passengers whose number is more than original plan since the opening. Therefore, this study quotes the concept of design hourly factor using in designing roads to consider passengers having been diversified for a year in railway field. In order to calculate factor, collecting railway passenger data and also estimate, reliability verification were executed by using exponential model and 3rd equation model. As a result of deducing design hourly factor through inflection point calculation, utilizing exponen tial model is analyzed to well reflect the value of design hourly factor on railway passengers.

• Journal of Christian Education in Korea
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• v.61
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• pp.203-232
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• 2020

The purpose of this study was to analyze various factors that influence the academic life of students through a theoretical review. As a result of the analysis, sub-factors were derived to diagnose the factors. From the study's findings, principles and models for developing learning status diagnosis tools were designed. The study first, based upon the competencies of university students, university life, students' low academic achievement, and academic probation studies, confirmed what factors affect student learning and from them derived a set of sub-factors. The setting dimension was divided into psychology, learning, and career factors, while also including a factor of faith for Christian university students. Next, in the draft model, sub-factors were constructed for each factor: faith maturity and faith training in the faith factor, positive thinking, emotion regulation, and self-esteem in the psychology factor, self-directed learning ability, learning motivation, and learning strategies in the learning factor, and career reflection, career exploration, career management, and career barriers in the career factor. By using the Delphi method, the final model of learning status diagnosis was confirmed. As a result, we completed the model comprised of nine sub-factors in four parts. A follow-up study should be conducted that examines learning status diagnosis tools development research.