• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.2
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• pp.77-85
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• 2009

In South Korea, seasonal, local and temporal climatic characteristics are variable in rainfall patterns. To design or assess the reliability of hydrosystem, information about the rainfall event under consideration is important. In this process, the complete description of a design storm involves the specification of rainfall duration, depth, and its temporal pattern. Generally, to use an appropriate temporal pattern for a design storm is of great importance in the design and evaluation of hydrological safety for hydrosystem. For purpose of selecting of factors affecting the occurrence of rainfall patterns, Huff's dimensionless method was executed and examined by statistical contingency tables analysis through which the inter-dependence of the occurrence frequency of rainfall patterns with respect to geographical location, rainfall duration and depth, and seasonality is investigated. This analysis result can be used to establish flood policies and to design or assess the reliability of hydrosystem.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.271-278
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• 2016

University-industry cooperation is indispensable for a short-term problem solving, as well as sustainable growth in the economy of the Republic of Korea. In order to embody and implement that, the government has run a variety of financial assistance programs and policies for the promotion of the cooperation for the last 10 years, and Korea Sanhak Foundation has made progress in academic and research development support, creative personnel training and scholarships, International Support and other projects. In this paper, window-type university-industry convergence and practices, and analyzing the best practices of national and international IT-based fusion technology, corporate cooperation were established to support measures taken in conjunction type and model of the university. Industry utilizing the latest IT technology based on this model, academia, proposed a collaboration system between workers building measures.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.355-371
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• 2009

The purpose of this study is to investigate the spatial structure of the production of technological knowledge in the Korean photonics industry. Patent data were used as a proxy of knowledge production. The data were gathered by keywords among the registered patents which were applied from 1996 to 2007. The photonics industry patents registered at United States Patent Trademark Office(USPTO) show that Korea and Taiwan, as a latecomer, have rapidly increased. The photonics industry patents registered at Korean Intellectual Property Office(KIPO) were analyzed by type of application: single-applicant and co-applicant patents. The analysis of single-applicant patents shows that technological knowledge in the Korean photonics industry has been produced mainly in Seoul, Suwon, and Daejeon. The degree of spatial bias, however, has been slightly decreased during the study period. Above-mentioned regions are also main centers in the analysis of co-applicant patents, but the forms of inter-regional cluster and network are different over time. It is because agents participating in co-applicant patents are diverse and increased. Furthermore, it seems that policies, such as the improvement of the infrastructure of ICT, the promotion of the photonics industry and the industry-university-institute collaboration, are very influential.

• Korean Journal of Agricultural Science
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• v.44 no.3
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• pp.451-461
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• 2017

Korean agriculture has recently focused on the 6th dimension of industrialization, which includes the functions of healing and care. The green care and healing business is one of the most representative models, satisfying modern consumers' needs for care or healing in rural agricultural environments. Many studies have shown physical and social benefits from green care and healing, but studies regarding economic performance are rarely found. The present study aimed to analyze the economic feasibility of different green care and healing farm complexes proposed in recent domestic research, with various possible combinations of business scenarios. The results show that most of the scenarios are economically feasible as B/C (benefit-cost ratio) and IRR (internal rate of return) are 1.19 and 8.53%, respectively, under scenario 1. This study also performed a break-even analysis for providing more flexible decision-making information. Overall, scenario 1 from green care and healing site and scenario 4 from green care and healing cluster are found to be superior to the other scenarios in terms of B/C and IRR. The scenarios in this study reflect the domestic farms or complexes which have similar functions of care or healing. Therefore, the results of this study provide information on practical policies and business implications in making decisions on the specific size and operational patterns when adopting green care and healing complexes by central or local governments and private sectors in the future.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.806-816
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• 2017

Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

• The Journal of Bigdata
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• v.5 no.1
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• pp.55-63
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• 2020

This study proposed an approach of clustering collective users' activities of location-based social networks using check-in data of Foursquare users in Seoul. In order to cluster the collective activities, we generated sequential rules of the activities using sequential rule mining, and then constructed activity networks based on the rules. We analyzed the activity networks to identify network structure and hub activities, and clustered the activities within the networks. Unlike previous studies that analyzed activity transition patterns of location-based social network users, this study focused on analyzing the structure and clusters of successive activities. Hubs and clusters of activities with the approach proposed in this study can be used for location-based services and marketing. They could also be used in the public sector, such as infection prevention and urban policies.

• Korean Journal of Health Education and Promotion
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• v.20 no.4
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• pp.13-26
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• 2003

Objectives： The aim of the present study was to determine the prevalence depressive symptoms, and the correlates of depressive symptoms, and to propose countermeasures for individual depression risk factors among college students. Methods： One university and three colleges in Jeju-do were selected as the study population and a total of 1000 students were selected by multiphasic cluster sampling to represent each department and year within each college. Of the 945 total respondents, 421 were men and 524 were women. The Beck Depression Inventory was used to evaluate depression and the BDI STEN score was used to assess depressive symptoms. Multiple logistic regression analysis was performed for comparisons. Results： 1. The prevalence of depressive symptoms among men was 14.4%, while among women the level rose to 26.8%. 2. Those with poor life satisfaction scores were significantly more likely to have depressive symptoms than those with good life satisfaction (odds ratio (OR) ＝ 2.62； (95% confidence interval (95%CI), 1.483-4.629). 3. Students over 23 years old were significantly more likely to have low levels of depressive symptoms than those under 18 (OR ＝ 0.439； 95%CI, 0.247-0.779). 4. Groups with poor body image satisfaction had higher levels of depressive symptoms when compared to respondents who had good body image (OR = 2.847; 95%CI, 1.341-6.045). 5. Students with poor perceived health status were significantly more likely to have high levels of depressive symptoms than those with good perceived health status (OR ＝ 2.029； 95%CI, 1.157-3.557). Conclusion： Universities and colleges should provide education programs, such as health education that facilitates the development of a healthy body image. In addition, they should focus on various scholarships that could improve satisfaction with student life, especially for alienated students. Furthermore, colleges should help direct students towards engagement in more productive work, and lead social policies away from the dominance of appearance.

• Archives of design research
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• v.15 no.3
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• pp.191-200
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• 2002

In the 1980s, even though Italy faced economic depression, Italy (she), now, internationally became a strong nation with its best design by national unity and the developmental leap of industry through design. In Italy, especially, small and medium enterprises are accumulated by the same business in each area on the structure of a Cluster system. Italy has some characteristics that being the Italians' elastic way of management, family management and development of a consortium of small and medium enterprises, which have flexibility, imagination and decisiveness. We have to bring these intensified factors of design competitiveness to our country so that we should form the union in order to have a monopoly of specific enterprises based on the specialized technology of small and medium enterprises innovating the structure of a small quantity production having developmental flexibility. We also heighten the sense of designer and publics by achieving social opinion and cult! ural revival. Moreover, the mind of managers has to be changed more aggressively. Finally, the actual policy of design will be established and peformed, and design-company (enterprises) and the industrial economy will generally develop when we activate the structure of the industry centered on small and medium enterprises and design-related association that is united and participates in the establishment of design policy.

• Journal of the Korean Institute of Landscape Architecture
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• v.13 no.1
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• pp.43-66
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• 1985

Korea needs proper and rational public policies on conservation and use of forest land and other natural resources because of the accelerating expansion of national land developments in recent years. Unfortunately, there is no systematic planning system to support the needs. Generally, forest land use planning needs suitability analysis based on efficient land classification system. The goal of this study was to classify a forest land using multivariate satistical methods. A case study was carried out in winter of 1983 on a mountainous area higher than 100m above sea level located at Mt. Kwanak in Anyang -city, Kyung-gi-do (province). The study area was 19.80 km$^2$wide and was divided into 1, 383 Operational Taxonomic Units (OTU's) by a 120m$\times$120m grid. Fourteen descriptors were identified and quantified for each OTU from existing national land data : elevation, slope, aspect, terrain form, geologic material, surface soil permeability, topsoil type, depth of the solum, soil acidity, forest cover type, stand size class, stand age class, stand density class, and simple forest soil capability class. For this study, a FORTRAN IV program was written for input and output map data, and the computer statistics packages, SPSS and BMD, were used to perform the multivariate statistical analysis. Fourteen variables were analyzed to investigate the characteristics of their fire quench distribution and to estimate the correlation coefficients among them. Principal component analysis was executed to find the dimensions of forest land characteristics, and factor scores were used for proper samples of OTU throughout the study area. In order to develop the classes of forest land classification based on 102 surrogates, cluster and discriminant analyses of principal descriptor variable matrix were undertaken. Results obtained through a series of multivariate statistical analyses were as follows ; 1) Principal component analysis was proved to be a useful tool for data selection and identification of principal descriptor variables which represented the characteristics of forest land and facilitated the selection of samples.

• Journal of the Korean Dietetic Association
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• v.27 no.3
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• pp.133-148
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• 2021

This study was undertaken to identify dietary patterns of Korean elderly people living alone, and to compare the quality of diet consumed. Data of 821 elderly people aged 65 years or older who were living alone, was obtained from the 2016~2018 National Health and Nutrition Survey. The percentage energy intake from 24 food groups was calculated, and a cluster analysis was applied to identify dietary patterns. General characteristics, energy and nutrient intake, nutrient adequacy ratio (NAR), mean adequacy ratio (MAR), and index of nutritional quality (INQ) were analyzed. Dietary variety score (DVS) and dietary diversity score (DDS) were subsequently calculated. The rice-centered diet group and mixed diet group were characterized as consuming higher intake of rice and a wider variety of food groups, respectively. The mean age and percentage of participants living in rural areas were higher, whereas education level and monthly income were lower, in the rice-centered diet group (P<0.001 for all). Intakes of energy and all other nutrients (except carbohydrate and thiamine) were lower in the rice-centered diet group (P<0.001 for all). The NAR for all nutrients (except thiamine), MAR, and INQs (except thiamine and iron) were significantly lower in the rice-centered diet group (P<0.001 for all). The rice-centered diet group had significantly lower DVS (P<0.001) and DDS (P<0.001), as compared with the mixed diet group (P<0.001). Due to the insufficient energy and nutrient intake in the rice-centered diet group, it is necessary to develop nutritional monitoring and customized nutrition policies for these individuals.