• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.488-496
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• 2023

Ship and bridge structures are a type of long box-shaped structure, and resistance to vertical bending moment is a key factor in their structural design. In particular, because box girders are repeatedly exposed to irregular wave loads for a long time, the continuous collapse behavior of structural members must be accurately predicted. In this study, plastic collapse behavior, including buckling according to load changes of the box girder receiving pure bending moments, was analyzed using a numerical analysis method. The analysis targets were selected as three box girders used in the Gordo experiment. The cause of the difference was considered by comparing the results of the structural strength experiment with those of non-linear finite element analysis. This study proposed a combination of the entire and local sagging shape to reflect the effect of the initial sagging caused by welding heat that is inevitably used to manufacture carbon steel materials. The procedures reviewed in the study and the contents of the initial sagging configuration can be used as a good guide for analyzing the final strength of similar structures in the future.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.329-339
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• 2019

This study intends to identify the effect of the simulation-based adult nursing education on resilience, clinical competence, and role transition of nursing students. Similar experimental study of a single group pretest-posttest design was used to investigate the effects of the program. The study was conducted from March to June, 2017 on senior nursing students at the university in M city who take an 'Integrated nursing practice I' class for the semester. Data were collected through self-report questionnaires and data of 52 participants were analyzed. The data were analyzed by frequencies, paired t-test and pearson's correlation coefficient using SPSS 21.0 program. As a result, the effectiveness of the simulation-based adult nursing education on resilience, clinical competence, and role transition were found. The result of this study showed that the improvement after simulation education was significant in resilience(t=-2.51, p=.016), clinical competence(t=-4.18, p<.001), and role transition(t=-2.89, p=.006). Resilience was found to be positively correlated with clinical competence(r=.464, p<.001) and role transition(r=.473, p<.001). These findings imply the value of simulation education to enhance the resilience, clinical competence, and role transition of nursing students. In the future, more studies should be conducted in the same group with control group to validate the effectiveness of variables.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.541-549
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• 2019

The purpose of this study was to test the effects of flip learning-based simulation practice education on the learning flow, learning confidence, communication skills, and clinical competence ability of nursing student. This study used a one group, pre-post test design. We collected the data from 65 4th grade nursing students. Flip learning-based simulation practice education was conducted from March 5th to April 17th, 2019. The collected data were analyzed using SPSS WIN 21.0 program. The result of study were follows. After the flip learning-based simulation practice education, there were significant increased in learning flow(t=-7.548, p<.001), learning confidence(t=-9.163, p<.001), communication skills(t=-6.506, p<.001) and clinical competence(t=-6.733, p<.001). After the flip learning-based simulation practice, clinical performance was found to be positively correlated with learning flow(r=.627, p<.001), learning confidence(r=.513, p<.001) and communication skills(r=.328, p<.008). learning flow and learning confidence(r=.528, p<.001), communication skills and learning flow(r=.332, p<.007) also showed a positive correlation. Therefore, flip learning-based simulation practice education for nursing student could be effective nursing education method.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.331-339
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• 2019

This study investigated the effects of coaching leadership for life care of estheticians on self-efficacy and job satisfaction and the results are presented as follows: First, as a result of analysing the effects of coaching leadership of the subjects on self-efficacy, it was discovered that all the factors of relations (β=.261, p<.001), presentation of direction(β=.238, p<.01), assessment(β=.175, p<.01) and development(β=.170, p<.01) had a statistically significant positive (+) effect on it. Second, as a result of analysing the effects of coaching leadership of the subjects on job satisfaction, it was discovered that relations(β=.403, p<.001), presentation of direction(β=.384, p<.001) and assessment (β=.170, p<.01) had a statistically significant positive(+) effect on it. Third, as a results of analysing the effects of self-efficacy of the subjects on job satisfaction, it was discovered that self-efficacy (β =.707, p<.001) has a statistically significant positive(+) effect on job satisfaction. Fourth, as for the relations between coaching leadership and job satisfaction, it was discovered that self-efficacy as a mediator of self-efficacy satisfied a partial mediation condition between presentation of direction, development, assessment, relations and job satisfaction.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1253-1253
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• 2022

Although the construction industry is changing from a 2D-based to a 3D BIM-based management process, 2D drawings are still used as standards for permits and construction. For this reason, 2D deliverables extracted from 3D BIM are one of the essential achievements of BIM projects. However, due to technical and institutional problems that exist in practice, the process of extracting 2D deliverables from BIM requires additional work beyond generating 3D BIM models. In addition, the consistency of data between 3D BIM models and 2D deliverables is low, which is a major factor hindering work productivity in practice. To solve this problem, it is necessary to build BIM data that meets information requirements (IRs) for extracting 2D deliverables to minimize the amount of work of users and maximize the utilization of BIM data. However, despite this, the additional work that occurs in the BIM process for drawing creation is still a burden on BIM users. To solve this problem, the purpose of this study is to increase the productivity of the BIM process by automating the process of extracting 2D deliverables from BIM and securing data consistency between the BIM model and 2D deliverables. For this, an expert interview was conducted, and the requirements for automation of the process of extracting 2D deliverables from BIM were analyzed. Based on the requirements, the types of drawings and drawing expression elements that require automation of drawing generation in the design development stage were derived. Finally, the method for developing automation technology targeting elements that require automation was classified and analyzed, and the process for automatically extracting BIM-based 2D deliverables through templates and rule-based automation modules were derived. At this time, the automation module was developed as an add-on to Revit software, a representative BIM authoring tool, and 120 rule-based automation rulesets, and the combinations of these rulesets were used to automatically generate 2D deliverables from BIM. Through this, it was possible to automatically create about 80% of drawing expression elements, and it was possible to simplify the user's work process compared to the existing work. Through the automation process proposed in this study, it is expected that the productivity of extracting 2D deliverables from BIM will increase, thereby increasing the practical value of BIM utilization.

• Health Policy and Management
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• v.33 no.1
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• pp.3-18
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• 2023

Background: A chronic disease management program including patient education, recall and remind service, and reduction of out-of-pocket payment was implemented in Korea through a chronic care model. This study aimed to assess the effect of a community-based intervention program for improving medication adherence of patients with diabetes mellitus in rural areas of Korea. Methods: We applied a non-equivalent control group design using Korean National Health Insurance Big Data. Hongcheon County has been continuously adopting this program since 2012 as an intervention region. Hoengseong County did not adopt such program. It was used as a control region. Subjects were a cohort of patients with diabetes mellitus aged more than 65 years but less than 85 years among residents for 11 years from 2010 to 2020. After 1:1 matching, there were 368 subjects in the intervention region and 368 in the control region. Indirect indicators were analyzed using the difference-in-difference regression according to Andersen's medical use model. Results: The increasing percent point of diabetic patients who continuously received insurance benefits for more than 240 days from 2010 to 2014 and from 2010 to 2020 were 2.6%p and 2.7%p in the intervention region and 3.0%p and 3.9%p in the control region, respectively. The number of dispensations per prescription of diabetic patient in the intervention region increased by approximately 4.61% by month compared to that in the control region. Conclusion: The intervention program encouraged older people with diabetes mellitus to receive continuous care for overcoming the rule of halves in the community. More research is needed to determine whether further improvement in the continuity of comprehensive care can prevent the progression of cardiovascular diseases.

• Korean Chemical Engineering Research
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• v.61 no.2
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• pp.217-225
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• 2023

2,3-Butanediol (2,3-BDO), which is used in various fields such as cosmetics and fertilizers, is a high value-added substance and the demand for it is gradually increasing. 2,3-BDO produced from the fermentation of microorganisms not only contains by-products of fermentation, but also varies greatly in feed composition depending on fermentation conditions, so it is difficult to efficiently operate the separation process to reach the target purity of the product. Therefore, in this study, through dynamic optimization of the bio-based 2,3-BDO distillation process, the optimal control route was explored to control the 2,3-BDO concentration of the bottom product to 99 wt% or more, when feed concentration changes. Steady and dynamic state process simulation, proportional integral (PI) controller design, and dynamic optimization were sequentially performed. As a result, the error between the 2,3-BDO concentration and the set point of the bottom product was reduced by 75.2%.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.24-40
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• 2023

As the aversion to advertising grows, native advertising has gained significant attention as a means to counteract this rejection. Native advertising is designed to seamlessly blend with other content on the page where they are displayed. They mimic the overall design and presentation of the platform, providing a natural exposure to consumers. Many companies utilize native advertising, but there is not much academic research on this topic. Therefore this study aims to examine the effectiveness of native advertising for social issues. The study looked at two types of native advertising: ads created by a company and ads sponsored by a company. Results suggested that consumers showed more positive attitudes towards a company's ads if they were sponsored by the company rather than created by the company. This study argued that this effect would be more pronounced for consumers who tended to buy ethically. To verify these hypotheses an online experiment was conducted revealing that on average consumers displayed the same attitude toward a company whether the native advertising was created or sponsored by a company. However, it was also discovered that consumers with a tendency for ethical consumerism formed more positive attitudes toward companies when the company sponsored native advertising as opposed to having created it. In practice, this study suggests how companies can improve the effectiveness of native advertising, such as implementing native advertising as a sponsor and being transparent about their advertising to appeal to consumers with high ethical consumption tendencies. This study expands the scope of research in areas related to native adverting and corporate social responsibilities.

• Journal of Korea Trade
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• v.26 no.4
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• pp.1-22
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• 2022

Purpose - This paper empirically investigates the effect of a rise in the global value chain (GVC) on the industry-level efficiency of resource allocation (based on plant-level inefficiency measures) in Korea, with a focus on various channels through which a rise in the GVC can increase competition among firms and thus induce resources to be allocated more efficiently across firms. Design/methodology - We empirically investigate the relationship between the industry-specific importance of GVC and the industry-level allocative inefficiency that is measured as the dispersion of the plant-level marginal revenue of capital (MRK) as in Hsieh and Klenow's (2009) influential model. We compute MRK dispersion for industries sorted by various characteristics that are closely related to firm/industry sensitivity to the GVC. In other words, we compute the average industry-level MRK dispersion for industries sorted by industry-specific importance of GVC and compute the difference between the two groups of industries (higher vs. lower than the median GVC); we also calculate the difference between industries sorted by industry-specific export (import) intensity. This is our difference-in-difference estimate of the MRK dispersion associated with the GVC for the export (import)-intensive industry versus the non-export (non-import)-intensive industry. This difference-in-difference estimate of the MRK dispersion conditional vs. unconditional on firm-level productivity is then calculated further (triple-difference estimate). Findings - A rise in GVC is associated with a decrease in the MRK dispersion in the export-intensive industry compared to the non-export-intensive industry. The same is true for industries that rely heavily on imports versus those that do not (i.e., import intensive vs. non-intensive). Furthermore, the reduction in the MRK dispersion in the export-intensive industry associated with an increase in the GVC is disproportionately greater for high-productivity firms. In contrast, the negative relationship between GVC and MRK dispersion in the import-intensive industry is disproportionately smaller for high-productivity firms. Originality/value - Existing studies focus on the relationship between GVC and aggregate output, exports, and imports at the country level. We investigate detailed firm/industry-level mechanisms that determine the relationship between GVC, trade, and productivity. Using the plant-level data in South Korea, we investigate how GVC is related to the cross-firm MRK dispersion, an important measure of allocative inefficiency, based on Hsieh and Klenow's (2009) influential economic theory. This is the first study to provide plant-level evidence of how GVC affects MRK dispersion. Furthermore, we examine how the relationship between GVC and MRK-dispersion varies across export intensity, import intensity, and firm-level productivity, providing insight into how GVC can affect firms' exposure to competition in the global market differently depending on market conditions and thus generate trade-related productivity gains.

• Journal of the Korean Geotechnical Society
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• v.22 no.1
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• pp.35-44
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• 2006

In general typically granular soils contain a certain amount of fines. It is also widely recognized that foundation soils under working loads show highly non-linear behavior from very early stages of loading. In the present study, a series of laboratory tests with sands of different silt contents are conducted and methods to assess strength and stiffiness characteristics are proposed. Modified hyperbolic stress-strain model is used to analyze non-linearity of silty sands in terms of non-linear Degradation parameters f and g as a function of silt contents and Relative density Dr. Stress-strain curves were obtained from a series of triaxial tests on sands containing different amounts of silt. Initial shear modulus, which is used to normalize Degradation modulus of silty sands, was determined from resonant column test results. From the laboratory test results, it was observed that, as the Relative density increases, values of f decrease and those of g increase. In addition, it was found that values of f and g increase and decrease respectively as a Skeleton void ratio $(e_{sk})$ increases.