• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• The Journal of Korean Association of Computer Education
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• v.18 no.5
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• pp.45-54
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• 2015

There has been rising demand within the South Korean government and among various industries in recent years on the need for strengthening the competitiveness of the software industry, which they highlight as being a core element for national competitiveness. This strategy would require enhancing the job competency of software developers. This study's results show that computational thinking (CT), which is one of the more creative solutions to the problem, has a positive effect on the enhancement of software developers' job competency. Furthermore, the study finds that the software development tasks of simulation, algorithms and procedures, and parallelization (in that order) serve as influential elements for software developers, which differs from previous studies' findings. The South Korean government thus should emphasize education in these areas in order to enhance the nation's job competence. Because simulation, especially, has the greatest influence among these areas, there is a particular need to strengthen that area.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.401-409
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• 2018

The purpose of this study is to analyze the factors influencing the regional differences and the denture use behavior after the elderly denture health insurance benefits for the elderly over 65 years old in Seoul and Gangwon provinces. The data was used in the "2015 Community Health Survey". The results of the study are as follows; 1) There is a significant difference in denture use among elderly in Seoul and elderly in Gangwon area. 2) There is significant differences in denture use among the elderly in the Gangwon area. According to the age, household income, basic living conditions, occupation, education level and subjective oral health, There is significant differences in all of 2 areas. 3) Some 16.6% of the elderly in Seoul and some 22.3% of the elderly in Gangwon province answered 'yes'. The reasons for not having the required dental care were the most economical reasons in all of 2 areas. Therefore, the elderly denture health insurance benefit project considering various aspects is necessary.

• Industry Promotion Research
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• v.6 no.4
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• pp.83-93
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• 2021

This work aims to use the analytic hierarchy process (AHP) tool to develop the model of industrial competitiveness in the nursing homes of eleven provinces in east China. The original data is from China Civil Affairs Statistical Yearbook 2020. The results show that Jiangsu province has the highest competitiveness in the elderly care industry among the eleven provinces in east China, and Hainan province has the lowest competitiveness. The competitiveness of the elderly care industry varies among the eleven provinces in east China. The ratios of beds to medical staff, the ratio of nursing homes, per capital fixed assets in nursing homes, and the number of unable self-care elderly are the four main influential factors across the competitiveness of the elderly care industry and indicates that the nursing homes competitiveness is affected by multiple factors from multiple levels. A differentiated strategy should be taken according to the circumstances in different provinces to rationally develop the elderly care industry, improving efficiency, the level, and quality of services in the nursing homes.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.164-164
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• 2023

This study investigates the importance of flood-influencing factors on the accuracy of flood risk mapping using the integration of remote sensing-based and machine learning techniques. Here, the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms integrated with GIS-based techniques were considered to develop and generate flood risk maps. For the study area of NAPA County in the United States, rainfall data from the 12 stations, Sentinel-1 SAR, and Sentinel-2 optical images were applied to extract 13 flood-influencing factors including altitude, aspect, slope, topographic wetness index, normalized difference vegetation index, stream power index, sediment transport index, land use/land cover, terrain roughness index, distance from the river, soil, rainfall, and geology. These 13 raster maps were used as input data for the XGBoost and RF algorithms for modeling flood-prone areas using ArcGIS, Python, and R. As results, it indicates that XGBoost showed better performance than RF in modeling flood-prone areas with an ROC of 97.45%, Kappa of 93.65%, and accuracy score of 96.83% compared to RF's 82.21%, 70.54%, and 88%, respectively. In conclusion, XGBoost is more efficient than RF for flood risk mapping and can be potentially utilized for flood mitigation strategies. It should be noted that all flood influencing factors had a positive effect, but altitude, slope, and rainfall were the most influential features in modeling flood risk maps using XGBoost.

• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.31-46
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• 2023

This study aims to analyze the spatial patterns of intellectual property across various regions through an in-depth analysis of intellectual property trends and their influential factors. While there's an overall upsurge in intellectual property applications in the Seoul metropolitan areas, a more detailed inspection reveals divergent patterns based on the type of intellectual property - with patent rights primarily increasing in certain non-Seoul areas and trademark rights seeing a rise predominantly within Seoul. Our findings also suggest that the growth in intellectual property applications correlates positively with improvements in public transportation accessibility, expansion of knowledge-based service industries, and a rise in large enterprises, although the relationships vary by intellectual property type. These results indicate the significant influence of geographical factors and industrial structures on knowledge-generation activities, thereby suggesting a need for region-specific policies to bolster these capacities.

• SUVANNABHUMI
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• v.7 no.2
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• pp.27-56
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• 2015

How should we conceptualize regions? What is the context in which new approaches to regional study take place? What is the role of historical change in the reconceptualization of regions or areas? This article addresses this issue by using two case studies to shed light on the history of regional study by comparing some of the ways in which the Middle East and Southeast Asia have been conceptualized. Accordingly, the discussion traces the ways in which these areas were understood in the 19th century by highlighting the ideas of a number of influential Victorian thinkers. The Victorians are useful because not only did British thinkers play critical roles in the shaping of modern patterns of knowledge, but their empire was global in scope, encompassing parts of both Southeast Asia and the Middle East. However, the Victorians regarded these places quite differently: Southeast Asia was frequently described as "Further India" and the Middle East was the home of the Ottoman Empire. Both of these places were at least partly understood in relation to the needs of British policy-makers, who tended to focus most of their efforts according to the needs of India-which was their most important colonial possession. The article exhibits the connections between the "Eastern Question" and end of the Ottoman Empire (and the political developments which followed) led to the creation of the concept of "Middle East". With respect to Southeast Asia, attention will be devoted to the works of Alfred Russell Wallace, Hugh Clifford, and others to see how "further India" was understood in the 19th century. In addition, it is clear that the successful deployment of the term "Southeast Asia" reflected the political needs of policy makers in wake of decolonization and the Cold War. Finally, by showing the constructive nature of regions, the article suggests one possible new path for students of Southeast Asia. If the characterization of the region is marked by arbitrary factors, it may actually point to a useful avenue of enquiry, a hermeneutic of expedience. Emphasis on the adaptive and integrative features of lived realities in Southeast Asia may well be a step beyond both the agendas of "colonial knowledge" and anti-colonial nationalism.

• Journal of the Korean Society for Railway
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• v.20 no.5
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• pp.668-682
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• 2017

Alignments of railways recently constructed in Korea have been straightened due to the advent of high-speed rail, which means increasing the numbers of tunnels and bridges. Overbreak during tunnel construction may be unavoidable, and is very influential on overall stability. Over-excavation in tunneling is also one of the most important factors in construction costs. Overbreak problems around crown areas have decreased with improvements of excavation methods, but overbreak problems around bottom areas have not decreased because those areas are not very influential on tunnel stability compared with crown areas. The filling costs of 10 cm thickness of overbreak at the bottom of a tunnel are covered under construction costs by Korea Railway Authority regulations, but filling costs for more than the covered thickness are considered losses of construction cost. The filling material for overbreak bottoms of tunnels should be concrete, but concrete and mixed granular materials with fractured rock are also used for some sites. Tunnels in which granular materials with fractured rock are used may have a discontinuous section under the concrete slab track. The discontinuous section influences the propagation of waves generated from train operation. When the bottom of a tunnel is filled with only concrete material, the bottom of the tunnel can be considered as a continuous section, in which the waves generated from a train may propagate without reflection waves. However, a discontinuous section filled with mixed granular materials may reflect waves, which can cause resonance of vibration. The filled materials and vibration propagation characteristics are studied in this research. Tunnel bottom filling materials that have ratios of granular material to concrete of 5.0 %, 11.5 %, and 18.0 % are investigated. Samples were made and tested to determine their material properties. Static numerical analyses were performed using the FEM program under train operation load; test results were found to satisfy the stability requirements. However, dynamic analysis results show that some mixed ratios may generate resonance vibration from train operation at certain speeds.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.3
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• pp.1-10
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• 2009

Wooded areas that are a part of school campuses are one type of urban forest. Most schools located in an urban environment make an excellent setting for a forest in terms of location and area. These kinds of wooded spaces also make the city greener and healthier. As a place where students spend a great deal of time, schools can also be a venue for environmental education. The creation of wooded areas in schools currently has focused on the end result only; by ignoring student needs and participation, these areas have not had a significant influence on student environmental education. Previous studies based on questionnaire survey are significant in that they have quantified subjective qualitative data via Likert Scale. There has been, however, a problem in quantifying the more ambiguous subjective data. Therefore, this paper has attempted to investigate those factors that have an influence on student satisfaction with the wooded areas of their school campus using Fuzzy Theory with elementary school students in Gyeongsangbuk-do. A change was observed in terms of the ranking of arithmetic mean values of 'school peculiarity' and 'emotion evolution' and center of gravity, which has adopted Fuzzy Theory, proving that Fuzzy Theory could rationally objectify qualitative data such as human thoughts. In terms of the influential factors on the satisfaction with school forests(regression coefficient), 'school uniqueness(0.159)' was the highest, followed by 'many trees(0.142),' 'importance of nature(0.136)' and 'emotion evolution(0.130).' This paper may therefore be useful as basic data for objective questionnaire surveys and the development of school forests.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.628-639
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• 2000

The purpose of this study is to propose a model of private brands proneness form-ation considering the six private brands proneness-related variables simultaneously. Since the theoretical framework is based on previous research in various areas, it serves as an integrative one. Data were collected via intercept surveys conducted at nine regional branches of two major department stores situated in Seoul. Participants(n=1,120), who had previously purchased women's private brand apparel, were asked to complete a questionnaire during two weeks from March 15, 1999 to March 28, 1999. LISREL and SPSS PC+ were used to test the model and analyze its variables. The fitness of the model show the reasonable fit between all indices(RMSR=.036, GFI=.99, AGFI=.92, and NFI=.95). The proposed model supports all the hypothesized relationships. Private brands proneness increases as perceived money value of products, familiarity, positive store image of private brands, and satisfaction of individuals' differentiated needs increase. Furthermore, perceived money value of products increase as perceived risk of private brand purchase and perceived quality variation between private brand products and manufacture's products decrease.