• Journal of Digital Convergence
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• v.15 no.2
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• pp.347-353
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• 2017

The aim of this paper is to improve the usability of Mobile Maps by allowing more people to use. To figure out better UX/UI, I evaluated usability for Mobile Applications from various materials such as literatures and blogs for qualitative methods and interviews and questionnaires about satisfaction of Naver and Daum for quantitative methods. So, We know that a map app is important and it is affected by force and profile on the portal site than its own features, because, not often in everyday life. Even though people do not use Mobile Map Applications frequently, we need to improve usability to make anybody use them easily by minimizing depth and button designs.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Journal of Korean Library and Information Science Society
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• v.50 no.3
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• pp.97-116
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• 2019

This study is to analyze the characteristics of 2019 revised RDA and suggest the consideration in aspects of cataloging using the literature reviews. The following 3 things are suggested with analyzing the revised RDA. First, high quality data such as supplementing cataloging data and constructing vocabulary encoding schemes should be needed to transform bibliographic data to linked data for the semantic web. Second, MARC should be expanded to accept the new conept of LRM and linked data being reflected in revised RDA because MARC is the unique encoding format untile linked data will be transformed from MARC data. Third, the policy statement and the application profile are needed for describing resource consistently because each entity and element has own condition and option, and there are different elements for applying rules in revised RDA. Based on this study, the RDA related researches should be in progress such as exapanding BIBFRAME as well as MARC to accept the new concepts in revised RDA, and, also, reflecting and accepting RDA being able to use revised RDA rules and registries in libraries and nations that have been faced to revise their own cataloging rules.

• Korean Journal of Soil Science and Fertilizer
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• v.42 no.1
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• pp.37-45
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• 2009

Susceptibility assessment of groundwater contamination is a useful tool for many aspects of regional and local groundwater resources planning and management. It can be used to direct regulatory, monitoring, educational, and policy-making efforts to highly vulnerable areas. In this study, a semi process-based was proposed to evaluate relative susceptibilities to groundwater contamination by nitrate on a regional scale. Numerical simulation based on data from each soil series was done to model water flow within soil profiles that were related to groundwater contamination by nitrate. Relative vulnerability indices for each soil series were produced by manipulation of amount of leaching flux, amount of average water storage in a soil profile, and amount of average water storage change. These indices were designed to convey the trend of leaching flux and to maximize spatial resolution. The resulting vulnerability distribution map was used to locate highly vulnerable sites easily with an appropriate grouping the indices, and was then compared with those from groundwater nitrate concentrations monitored. An excellent agreement was obtained across nitrate concentrations from the highly vulnerable regions and those from the low to stable regions.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.3
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• pp.175-180
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• 2021

Although it has recently been regulated for use as an eco-friendly policy in Korea, the use of EPS (Expanded Polystyrene) cooling boxes, which are used as cold chain delivery insulation boxes for fresh agricultural and livestock products, is also increasing rapidly as e-commerce logistics such as delivery have increased rapidly due to COVID-19. Studies were conducted to optimize the EPS cooling container through internal air heat flow of CFD (Computational Fluid Dynamics) analysis and FEM (Finite Element Method) random vibration analysis using domestic PSD (Power Spectral Density) profile of the EPS cooling box to which the refrigerant is applied in this study. In the analysis of the internal air heat flow by the refrigerant in the EPS cooling box, the application of vertical protrusions inside was excellent in volume heat flow and internal air temperature distribution. In addition, as a result of random vibration analysis, the internal vertical protrusion gives the rigid effect of the cooling box, so that displacement and stress generation due to vibration during transport are smaller than that of a general cooling container without protrusion. By utilizing the resonance point (frequency) of the EPS cooling box derived by the Model analysis of ANSYS Software, it can be applied to the insulation and cushion packaging design of the EPS product line, which is widely used as insulation and cushion materials.

• Therapeutic Science for Rehabilitation
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• v.10 no.2
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• pp.75-93
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• 2021

Objective : The aim of this study was to identify subgroups of older adults with respect to their lifestyle patterns and examine the characteristics of each subgroup in order to provide a basic evidence for improving the health and quality of life. Methods : This cross-sectional study was conducted in South Korea. Community-dwelling older adults (n=184) above the age of 65 years were surveyed from April 2019 to May 2019. This study used latent profile analysis to examine the subgroups. Chi-squared (χ²) and multinomial logistic regression measures were then used to analyze individual characteristics and influencing factors. Results : The pattern of physical activity which is one of the lifestyle domains in elderly was categorized into three types: 'passive exercise type (31.1%)', 'low intensity exercise type (54.5%)', and 'balanced exercise type(14.5%)'. Activity participation was divided into three patterns: 'inactive type (12%)', 'self-management type (61%)', and 'balanced activity participation type (27%)'. In terms of nutrition, there were only two groups: 'overall malnutrition type (13.5%)' and 'balanced nutrition type (86.5%)'. Furthermore, as a result of the multinomial logistic regression analysis to understand the effects of lifestyle types on the health and quality of life of the elderly, it was confirmed that the health and quality of life were higher in those following an active and balanced lifestyle. In addition, gender, education level and residential area were analyzed as predictive factors. Conclusion : The health and quality of life of the elderly can be improved when they have balanced lifestyle. Therefore, an empirical and policy intervention strategy should be developed and implemented to enhance the health and quality of life of the elderly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.86-98
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• 2014

This study examined a long-standing issue with its perverse results in the Korean capital markets, such as any variant financial profiles over time, affecting capital structure for the firms belonging to the chaebols. It may be of interest to identify these components from the perspectives of international investors and domestic policy makers to implement their contingent strategies on the target leverage, since the U.S. financial turmoils in the late 2000s. Regarding the evidence from the three hypothesis tests on the firms in the chaebols, this research found that the control variabels measuring profitability, business risk, and non-debt tax shields, showed their statistically significant relationships with the different types of a debt ratio. While FCFF(free cash flow to the firm) showed its significant influence to discriminate between the firms in the chaebols and their counterparts, not belonging to the chaebols, BDRELY as the ratio of liabilities to total assets, comprising the enhanced 'Dupont' system, only showed its statistically significant effect on leverage in the context of the parametric and nonparametric tests. In line with the results obtained from the present research, one may expect that a firm in the Korean chaebol, may control or restructure its present level of capital structure to revert to its target optimal capital structure towards maximizing the shareholders' wealth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.44-51
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• 2020

The purpose of this study was to identify latent profiles of multicultural adolescents' psychological outcomes (school participation, self-esteem, and difficulty related to multicultural identity) depending on their perception of the parent-child relationship. A total of 5,540 samples from the Multicultural Adolescents Panel Study (MAPS) conducted by the National Youth Policy Institute in 2018 were analyzed by using Latent Profile Analysis and one-way ANOVA. The best-fitting model identified five groups according to their perception of the parent-child relationship: (1) father low-mother average (6.5%), (2) father average-mother low (2%), (3) father low-mother low (18.6%), (4) father average-mother average (31.2%), and (5) father high-mother high (41.7%). According to the results of one-way ANOVA, the father high-mother high (41.7%) group of adolescents showed more school participants and higher self-esteem and multicultural identity than the other profiled groups. The father average-mother average (31.2%) group of adolescents also scored higher than the other three groups (father low-mother average (6.5%), father average-mother low (2%), and father low-mother low (18.6%) of adolescents). The results of this study imply that improving multicultural adolescents' perception of their parent-child relationships would be important in improving psychological outcomes.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.449-462
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• 2018

The purpose of this study is to develop a competency-based convergence curriculum for the development of sports marketers, sports talent in the sports industry. For this purpose, we conducted literature analysis, in-depth interviews and job analysis to derive necessary capabilities to become sports marketers, draw up a capability profile, and then developed a capability model through expert verification. Sports marketers ' capacity models were divided into sport marketing / PR and sports events by type of experience, with six common basic competencies including sports mind and 12 professional competencies including sponsorships. Sports marketers education courses developed based on capacity models are composed of understanding of sports industry, sports marketing communication, sports law, understanding of sports facility, sports facilities management, sports sponsorship, sports media, sports licensing, sports agent, sports event planning, sports event management, make a proposal, sports event field practice. The developed training courses for sports marketers will be used in colleges and private education institutions related to the sports industry, contributing to fostering and expanding sports industry talent.

• Management & Information Systems Review
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• v.29 no.1
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• pp.25-47
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• 2010

Over the past 20 years new and small firms have been identified as significant components of economic strategies for job and wealth creation. Implicit in these strategies has been the search for policies which will increase the supply of new firms, and will encourage established firms' growth. Yet the majority firms spend the whole of their economic life within the small firm sector. The aim of this paper is to suggest a multidimensional approach to the understanding of the comparative characteristics of the small firm by providing evidence as to the factors which describe firms of different sizes, regions and industries. And I discuss in the context of policy options for regional economic development in Korea. The results from the analyses are summarized as follows. The size of the small firms in the sample measured in terms of both number of employees and sales revenue are characterized by regions, export performance and R&D. There is also some indication that growing firms may develop more complex environment. These results are based upon a multi-dimensional analysis of the strategic profile of a sample of small firms using KIS. From this observation of the firms during the data collection period, this is a conclusion that I find intuitively appealing.