• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.203-208
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• 2006

The main research conducted previously on GPS ionosphere in China is first introduced. Besides, the current investigations include as follows: (1) GPS-based spatial environmental, especially the ionosphere, monitoring, modeling and analysis, including ground/space-based GPS ionosphere electron density (IED) through occultation/tomography technologies with GPS data from global/regional network, development of a GNSS-based platform for imaging ionosphere and atmosphere (GPFIIA), and preliminary test results through performing the first 3D imaging for the IED over China, (2) The atmospheric and ionospheric modeling for GPS-based surveying, navigation and orbit determination, involving high precisely ionospheric TEC modeling for phase-based long/median range network RTK system for achieving CM-level real time positioning, next generation GNSS broadcast ionospheric time-delay algorithm required for higher correction accuracy, and orbit determination for Low-Earth-orbiter satellites using single frequency GPS receivers, and (3) Research products in applications for national significant projects: GPS-based ionospheric effects modeling for precise positioning and orbit determination applied to China's manned space-engineering, including spatial robot navigation and control and international space station intersection and docking required for related national significant projects.

• Korean Journal of Comparative Education
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• v.28 no.1
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• pp.1-24
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• 2018

The objective of the article is to find the research trends and the main traits presented in the keywords on abstracts of research articles of "International Journal of Education Development" from 2002 to 2017. To do this, Text Network Analysis(TNA) was applied targeting 966 papers on the journal and the major research outcomes are as follows. First, the frequency analysis on the keywords showed that the keywords like Administration of education program, Schools and instruction, Regional public administration, Educational support service, Elementary education, and Elementary and secondary school were analyzed more than 100 times and also high in centrality degree. Second, the analysis results of the keywords presented in those research articles by development goal periods showed that several new keywords like Elementary education, Elementary and secondary school, Education quality, Secondary education, Educational planning have emerged frequently after SDGs and these keywords showed high in their centrality analysis. Third, the analysis on education level showed that the keywords like Elementary education, Administration of education program, School children were high in frequency and centrality degree in Elementary level. In secondary level, Schools and instruction, Administration of education program, Academic achievement were high, and in high level, college and university was high, respectively.

• Korean Journal of Environment and Ecology
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• v.33 no.3
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• pp.292-302
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• 2019

This study conducted a hierarchy analysis based on a questionnaire survey of experts in park management, ecosystem survey, and ecological environment planning to establish evaluation items and a weighing value of each item to develop ecological connectivity in Baekdudaegan mountain range neighboring the Taebaeksan National Park using the AHP approach. We selected four high-level evaluation indexes and 13 low-level evaluation indexes through literature review and interview with the people in the field and calculated weights for each question through the consistency analysis. The analysis showed that increasing the ecological value was the most important item with the index of 0.474 among the high-level evaluation items, followed by the mitigation of human-nature conflict at 0.247, participation by local residents at 0.165, and the economic perspective at 0.114. Among the low-level evaluation indexes, the movement route of wildlife was the highest at 0.116, followed by the connectivity of landscape ecological patch at 0.112, and functional habitat at 0.099. The comparison of the evaluation items in each working group and the weight factors showed that the movement route of wildlife was the most important at 0.116 in ecosystem survey, the functional habitat was the most important at 0.110 in park management, and the regional preservation and distribution of resources was the most important at 0.123 in ecological environment planning. The results of this study is useful to identify evaluation items for developing ecological network with a diverse source of the actual environmental data in the Taebaeksan National Park.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.194-204
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• 2022

This study examined the social capital and geographical gaps of local television stations using web data gathered through website crawling. URLs for 16 local MBC websites were collected. MBC is an abbreviation for Munhwa Broadcasting Corporation, one of South Korea's largest television and radio broadcasters. Munhwa is a Sino-Korean term that means "culture." It initially determined which institutions local broadcasting stations were linked to using a Web Impact Report. To investigate the specific connection type, URL information was classified using the n-tuple helix model, followed by 2-mode network analysis. The n-tuple helix model is an analysis method that extends the standard university-business-government triple-helix model by including a new network innovation originator. As a result, local broadcasting stations relied heavily on activities like as festivals, performances, and exhibitions to engage the local community. Local stations in Daegu-Gyeongbuk area and the Busan-Ulsan-Gyeongnam area were identified as having the most diverse connections to the local population among other regions.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1013-1024
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• 2022

In addition to the assessment measure of electric quality levels, load loss are also a factor in hindering the financial profits of electrical sales companies. Therefore, accurate analysis of load losses generated from distributed power networks is very important. The accurate calculation of load losses in the distribution line has been carried out for a long time in many research institutes as well as power utilities around the world. But it is increasingly difficult to calculate the exact amount of loss due to the increase in the congestion of distribution power network due to the linkage of distributed energy resources(DER). In this paper, we develop smart grid big data infrastructure in order to accurately analyze the load loss of the distribution power network due to the connection of DERs. Through the preprocess of data selected from the smart grid big data, we develop a load loss analysis model that eliminated 'veracity' which is one of the characteristics of smart grid big data. Our analysis results can be used for facility investment plans or network operation plans to maintain stable supply reliability and power quality.

• Journal of the Korean earth science society
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• v.43 no.6
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• pp.762-776
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• 2022

The purpose of this study was to determined the conceptual structure used by earth science teachers to classify metamorphic rocks as well as the criteria applied in the process of classifying metamorphic rocks. To this end, the researchers collected verbal data uttered in the process of classifying metamorphic rock using think-aloud from 21 earth science teachers in middle and high schools in Jeollabuk-do, Republic of Korea. The collected verbal data were analyzed using the semantic network analysis method, and the following results were obtained. First, in the process of classifying metamorphic rocks, earth science teachers classified them based on characteristics such as color, compositional minerals, and particle size, which can be generally observed in rocks, and foliation that appears in metamorphic rocks. Second, earth science teachers recognize the classification criteria for metamorphic rocks and focus on metamorphism such as contact metamorphism or regional metamorphism. However, there were cases where rocks were mistakenly classified through incorrect identification. Therefore, it is necessary to provide sufficient observational information about, and experience of, metamorphic rocks to enable earth science teachers to recognize and relate to the scientific process of identifying metamorphic rocks through the phenomena observed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.95-111
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• 2023

Korea has achieved a high startup rate by promoting government-led startup policies for national economic and industrial development. However, as high as the startup rate is, the closure rate of startup companies can be judged to be insufficient for the qualitative growth of the domestic startup ecosystem. This study aims to investigate how to improve the survival rate of startups by overcoming the valley of death from a location environment perspective. It analyzes the effects of technology orientation and market orientation of start-ups on management performance and the moderating effects of economic, accessibility, and network factors that constitute the location environment. To achieve the research objectives, the empirical analysis was conducted on start-up companies that received corporate support projects from innovation intermediary organizations. The results show that R&D capability of technology orientation has a significant effect on management performance, and market information generation and market information response of market orientation have a significant effect on management performance. As for the moderating effect, accessibility, a sub-factor of the location environment, has a positive moderating effect on the relationship between technological innovation and managerial performance, and the location environment (economy, accessibility, and network) has a positive moderating effect on the relationship between market information generation and managerial performance. This study compared and analyzed previous studies on the success and failure of start-ups and identified common factors. In addition, this study provides policy implications for the sustainable growth of startups through empirical analysis and interview with stakeholders. For future research, it is necessary to compare and analyze start-ups in metropolitan areas and non-metropolitan areas. In addition, it is necessary to study startups that have moved out of the region and into the metropolitan area to find ways to develop the regional startup ecosystem.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.25-52
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• 2018

This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.553-565
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• 2016

Population aging has been an increasing social issue and the elderly health has become one of the most urgent public attentions in Korea. The aims of this paper are to compare the subjective health status according to the personal characteristics, social networks, and daily leisure activities of the urban-rural elderly, and to analyze the influencing factors of their subjective health status. Using 2011 elderly survey data, ordered logit Model was established to extract influencing factors of the elderly health status. The results show that socioeconomic and demographic characteristics of individual as well as frequent social contacts and daily activities within neighborhood environments influence the level of health status of the elderly. The most significant factors affecting the elderly health are personal economic conditions such as the education achievement level and household income. The elderly who visit an elderly welfare center in Seoul has almost 1.82 times higher odds of increasing health status level than not to visit an elderly welfare center. This study may give some important policy implications of the elderly health promotion strategy in urban-rural communities.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2667-2672
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• 2016

Background: Virtually all cases of cervical cancer are caused by persistent infections with a restricted set of human papillomaviruses (HPV). Cancer of the cervix is the third or even the second most common cancer in women worldwide, more than 85% of the cases occurring in developing countries, such as China and India, including the Republic of Kazakhstan. The purpose was to determine the HPV type distribution to evaluate efficacy of vaccination and adjust cancer prevention strategy in Western Kazakhstan in the future. Materials and Methods: A retrospective analysis was conducted of data obtained from PCR laboratories in 4 regional centers for the time period covering 12 months, 2013-2014, using AmpliSens$^{(R)}$ Real-Time PCR kits for HPV testing of 12 genotypes (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, and 59). Results: A total of 1,661 persons were HPV tested within 2013-14, but a proprotion examined for 16 and 18 genotypes only (563) was not been included for statistic analysis of distribution and ratio of the most common genotypes. Males accounted for only a small number (N=90 in total). Conclusions: Total number of the HPV-positive appeared to be 26.0%, or 286 of N=1098. Types distribution was as follows: type 16 (10.7%), 39 (5.83%), 51 (5.27%), 31 (4.85%), 56 (4.58%), 18 (3.61%), 59 (2.64%), 58 (2.22%), 35 (1.94%), 33 (1.25%). Overall the HPV infection was highest in 16-29 years old (62.4%) and decreased with age. Total prevalence of the HR-HPVs amongst male population was 21.4% with top five types 16, 18, 39, 51, 31. Trends forcorrelations between Aktau site and type 33 (Cramer's V 0.2029), between Caucasian ethnicity and type 33 (Cramer's V .1716), and between European ethnicities in Uralsk and type 45 (Cramer's V .1752) were found. Of N 563 tested separately for 16 or 18 types, 13.6% were positive. As a whole, the distribution of 16/18 types had a ratio of 3.53:1. Given the vaccine-targeted type 16 is widely spread amongst this regional population, HPV immunization program of adolescent girls 10-13 years should be implemented appropriately.