• Conservation Science in Museum
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• v.28
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• pp.17-34
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• 2022

This study seeks to identify the material characteristics of earthenware excavated from the Bangi-dong Ancient Tomb No. 3 and the articulated stone-mound tomb of the Seokchon-dong ancient tombs in the Songpa region, and analyze the homogeneity and the firing temperature of the materials used at each excavated site. The remains have been studied relatively recently, and the groups of tombs in which they were found demonstrate the transition of ancient Korean burial systems, and at the same time, provide important archaeological data about those in power at the time. The earthenware pottery excavated from the two sites examined in the study were buried at different times, and it is assumed that they were made by procuring weathered soil of similar gneiss, judging from the behavior of the compatible and incompatible elements and the weathering tendency found by examining the main components. In addition, the examination of the mineral composition and microstructure of clay indicates that the earthenware from Seokchon-dong was fired at 950 degrees Celsius or lower at a relatively early stage. On the other hand, the earthenware from Bangi-dong Tomb No. 3 was confirmed to have experienced temperatures below 850 degrees Celsius and above 1,000 degrees Celsius. However, it is difficult to interpret the difference as the result of the changes in firing temperature throughout the eras. It is expected that it will be possible to interpret the changes in earthenware manufacturing techniques by comparing more diverse earthenware potteries and ancient soils.

• Korean Journal of Heritage: History & Science
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• v.33
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• pp.308-336
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• 2000

Bridge - Treading was a flok festival that was held on the night of the 1st full moon of the lunar new years. Men and women, both young and old, took pan in it in the belief that crossing a bridge, or bridges, back and forth, the same number of times as the number of years they were old, on this night would prevent all types of leg and foot ailments from occurring throughout the coming year. The practice was carried on mainly around the Seoul central region of Korea. Though it has now largely disappeared, it has been reatores in the Yeoju area. According to the Korean almanac and other chronicles, it was once practiced throughout the land. It is in the preserved was brige-treading festival of yeoju, however, that both the original form, transmission, and function are clarified and brought to light. In this regard, when compares to similar festivals of other region such as Songpa and Kwacheon, it is found that of Yeojo has a special characteristic. Accompanied by folksongs, music, and dance, this was not a religions festival in the strict sense, but rather an annual custom filled with mirth and merriment that formed an integral part of Korean folk culture.

• The Journal of the Korean dental association
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• v.54 no.8
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• pp.613-629
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• 2016

This study assayed regional distribution of dental hospital & dental clinics, the number of population & households per one dental hospital & clinic, operation condition & duration. This study used public data that display from 1946 years(the first dental clinic open in republic of korea) to 2016 years. We collected present condition of 21,686 dental hospital and clinics available in public data portal site on 28. Feb.2016. Data were classified by scale, location, permission year, operation duration of dental hospital & clinics and were analyzed using SPSS 20.0 program. Surveyed on Feb. 2016. Best top 10 regions of permission dental clinics are (1) Gangnam-gu, Seoul(1,337), (2) Seongnamsi, Gyeonggi-do(555), (3) Songpa-gu, Seoul(491), (4) Yeongdeungpo-gu, Seoul(472), (5) Suwon-si, Gyeonggi-do(443), (6) Seocho-gu, Seoul(428), (7) Nowon-gu, Seoul(417), (8) Goyang-si, Gyeonggi-do(413), (9) Jung-gu, Seoul(380), (10) Yongin-si, Gyeonggi-do(353). Whereas best top 10 regions of operating dental clinics are (1) Gangnam-gu, Seoul(581), (2) Seongnamsi, Gyeonggi-do(415), (3) Suwon-si, Gyeonggi-do(382), (4) Seocho-gu, Seoul(320), (5) Changwon-si, Gyeongsangnam-do(303), (6) Songpa-gu, Seoul(295) (7) Goyang-si, Gyeonggi-do(290), (8) Bucheon-si and Yongin-si, Gyeonggi-do(262), (9) Jeonju-si, Jeollabuk-do(224). Average population per one dental hospital & clinic by regional local government are 3,120 people. Best five region of population per one dental hospital & clinic are (1) Sejong-si(5,272), (2) Gangwon-do(4,653), (3) Chungcheongbuk-do(4,513), (4) Gyeongsangbuk-do(4,490), (5) Chungcheongnam-do(4,402). Average households per one dental hospital & clinic by regional local government are 1,316 households. Best three region of households per one dental hospital & clinic are (1) Sejong-si(2,126), (2) Gangwon-do(2,057), (3) Gyeongsangbuk-do(1,946). From 1946 to 1986, permission and operating dental hospital and clinics was steadily increasing. On 1986-1990, 1991-1995, permission, operation and closure of dental hospital and clinics increase rapidly. From the 2011-2015 to 2016(present), permission, operation and closure of dental hospital and clinics is decreasing. Average operating duration of closured dental hospital and clinics are 14.054 years. We need to map of dental hospital and clinics for open and operation of one, base on analyzed results. In an era of 30,000 dentist, we should to be concerned about operation of dental clinics in the light of past operating condition.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.1
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• pp.29-42
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• 2019

In order to expand the qualitative aspects of public facility, this study used SNS data to derive user-oriented preference factors for public facilities and then were quantified in terms of supply side and demand side. To derive preference factor, LDA, one of topic modeling, was used and attraction index was calculated for each facility. In addition we analyzed spatial accessibility to measure the degree of service experience of users by using 2SFCA model. The study area covered public libraries of Seoul, Korea. As a result of study, five topics were extracted as preference factors for the public library: Circumstance, Scale of facility, Cultural program, Parenting, Books and materials. In particular topic of circumstance and parenting were newly derived preference factors unknown in previous studies. As a result of calculating attraction index for each library, the index of Songpa Library, Jungdok Library, and Namsan Library was high. Songpa library has received good evaluation in parenting factor, and Jungdok & Namsan library in circumstance factor. The accessibility of each region seems to better in center of Seoul where public libraries are crowded, but shrinking toward the outskirts. We expect that the proposed method will contribute to user-oriented public facility evaluation and policy decision making.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.47-57
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• 2019

Purpose: This paper aims to investigate the concentration of fine particulate matter (PM2.5) in the Seoul area by predicting unhealthy days due to PM2.5 and comparing the regional differences. Methods: The extreme value theory is adopted to model and compare the PM2.5 concentration in each region, and each best model is selected through the goodness of fitness test. The maximum likelihood estimation technique is applied to estimate the parameters of each distribution, and the fitness of each model is measured by the mean absolute deviation. The selected model is used to estimate the number of unhealthy days (above $75{\mu}g/m^3$ PM2.5 concentrations) in each region, with which the actual number of unhealthy days are compared. In addition, the level of PM2.5 concentration in each region is analyzed by calculating the return levels for periods of 6 months, 1 year, 3 years, and 5 years. Results: The Mapo (MP) area revealed the most unhealthy days, followed by Gwanak (GW) and Yangcheon (YC). On the contrary, the number of unhealthy days was low in Seodaemun (SDM), Songpa (SP) and Gangbuk (GB) areas. The return level of PM2.5 was high in Gangnam (GN), Dongjak (DJ) and YC. It will be necessary to prepare for PM2.5 than other regions. On the contrary, Gangbuk (GB), Nowon (NW) and Seodaemun (SDM) showed relatively low return levels for PM2.5. However, in most of the regions of Seoul, PM25 is generated at a very poor level ($75{\mu}g/m^3$) every 6months period, and more than $100{\mu}g/m^3$ PM2.5 occur every 3 years period. Most areas in Seoul require more systematic management of PM2.5. Conclusion: In this paper, accurate prediction and analysis of high concentration of PM2.5 were attempted. The results of this research could provide the basis for the Seoul Metropolitan Government to establish policies for reducing PM2.5 and measuring its effects.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1239-1247
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• 2015

In this study, 64 administrative regions with high frequencies of apartment trade in Seoul, Korea are classified by the apartment sale price. To consider distributions of apartment price for each region as well as the mean of the price, the symbolic histogram-valued data approach is employed. Symbolic data include all types of data which have internal variation in themselves such as intervals, lists, histograms, distributions, and models, etc. As a result of the cluster analysis using symbolic histogram data, it is found that Gangnam, Seocho, and Songpa districts and regions near by those districts have relatively higher prices and larger dispersions. This result makes sense because those regions have good accessibility to downtown and educational environment.

• Korean Journal of Health Education and Promotion
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• v.26 no.3
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• pp.35-48
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• 2009

Objectives: The community network is a foundation laid by the local community which has been formed historically and geographically to develop itself. This paper as a Korean way of healthy network survey for the community capacity building is an exploratory research to grasp the character of Korean society and then to organize an resident-governing partnership for that. Methods: Research objectives are CBOs(Community-Based Organizations) in S-district of Seoul. This region is a new town, however the solidarity and volunteerism of this resident is lively. The survey tool is Cho's CBOs Evaluation Questionnaire which was originated to measure the community capacity. The period of survey is from the January 2009 to the March 2009 and the study organizations which were collected by snowball sampling were 80. Results: The result shows two main networks: one is the civil society and craft union cluster, the other is welfare organization cluster. Groups of high centrality were organizations whose members are mainly women and craft organizations which were organized before 1990's. The group of high betweenness was the Association of Women's Organizations(0.188). Bi-components were six and they could be divided by organization's aim. In terms of the determinants of the participation to the health center enterprise, only the number of link(B=-0.60, p<0.04) was statistically significant. It means that when organization variables are controlled a tendency appears: the more the voluntary associations network, the less participation in the health enterprise. Conclusion: CBHOs(Community-Based Health Organizations) enhances residents' spontaneity and cohesion to increase the capability of the local community. If the surveyed healthy network, together the community health project, are used for various community development projects, the existing CBOs including CBHOs will be reorganized and furthered newly. For this it will be needed to construct an effective partnership of healthy network by restructuring the existing networks of voluntary associations.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.78-92
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• 2019

This study aims to evaluate the efficiency in the provision of employment services for the middle-aged by using spatial analysis in GIS. Based on location information of employment service institutions, we find service areas of the institutions and calculate regional rates of duplication and exclusion in terms of spatial coverage of the employment services. Taking into account potential demand for employment services, the regions with high priority in the provision of the services are identified. Among the regions, those with high exclusion rate of the services are designated as the regions of insufficient service level. Results indicate that Namyangju-si is a representative region of insufficient employment service level. To improve efficiency in the provision of employment services, we suggest to relocate employment service institutions that have been located in a region of high duplication rate such as Siheung-si, Danwon-gu, Gangnam-gu, Songpa-gu into the locality of Namyangju-si.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.13-29
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• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.