• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.3
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• pp.58-72
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• 2021

In July 2021, UNCTAD classified Korea as a developed country. After the Korean War in the 1950s, economic development was promoted despite difficult conditions, resulting in epoch-making national growth. However, in order to respond to the rapidly changing global economy, it is necessary to continuously study the domestic industrial ecosystem and prepare strategies for continuous change and growth. This study analyzed the industrial ecosystem of the automobile industry where it is possible to obtain transaction data between companies by applying complexity spatial network analysis. For data, 295 corporate data(node data) and 607 transaction data (link data) were used. As a result of checking the spatial distribution by geocoding the address of the company, the automobile industry-related companies were concentrated in the Seoul metropolitan area and the Southeastern(Dongnam) region. The node importance was measured through degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality, and the network structure was confirmed by identifying density, distance, community detection, and assortativity and disassortivity. As a result, among the automakers, Hyundai Motor, Kia Motors, and GM Korea were included in the top 15 in 4 indicators of node centrality. In terms of company location, companies located in the Seoul metropolitan area were included in the top 15. In terms of company size, most of the large companies with more than 1,000 employees were included in the top 15 for degree centrality and betweenness centrality. Regarding closeness centrality and eigenvector centrality, most of the companies with 500 or less employees were included in the top 15, except for automakers. In the structure of the network, the density was 0.01390522 and the average distance was 3.422481. As a result of community detection using the fast greedy algorithm, 11 communities were finally derived.

• Journal of Communications and Networks
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• v.17 no.1
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• pp.67-74
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• 2015

In this paper, we propose a web-based content syndication system in which users can easily choose Internet protocol television (IPTV) contents. This system generates personalized content guide to provide a list of IPTV contents with respect to users' interests and statistics information of their online social community. For this, IPTV contents and relevant metadata are collected from various sources and transformed. Then, the service and content metadata are processed by user metadata including audience measurement and community metadata. The metadata flows are separated from content flows of transport network. The implementation of IPTV content syndication system demonstrates how to arrange IPTV contents efficiently from content providers to the end user's screen. We also show that the user metadata including online community information are important for the system's performance and the user's satisfaction.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.9
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• pp.55-61
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• 2009

This paper presents a modified Phasor Discrete Particle Swarm Optimization (PDPSO) algorithm to configure Community Energy Systems(CESs) in the distribution system. The CES obtains electric power from its own Distributed Generations(DGs) and purchases insufficient power from the competitive power market, to supply power for customers contracted with the CES. When there are two or more CESs in a network, the CESs will continue the competitive expansion to reduce the total operation cost. The particles of the proposed PDPSO algorithm have magnitude and phase angle values, and move within a circle area. In the case study, the results by PDPSO algorithm was compared with that by the conventional DPSO algorithm.

• Journal of Korean Public Health Nursing
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• v.30 no.2
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• pp.311-325
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• 2016

Purpose: This study was conducted to examine the individual and community level factors associated with physical activity and to identify its relative effects using a multilevel analysis among Korean adults in certain counties. Methods: A cross-sectional data of 39,547 adults (age range of 19~64 years) living in 82 counties from the 2013 Korean Community Health Survey (KCHS) was analyzed. Individual and social correlates from KCHS and physical environmental data from the Korean Statistical Information Service were collected. A multilevel logistic regression was performed using Stata 10.0 IC. Results: Multilevel analyses showed that the effect of social and physical environmental on engaging in moderate or vigorous physical activity (MVPA) was significant in comparison to the influence of individual correlates. The individual factors that were associated with participating in MVPA included gender, marital status, education, job, and household income. In the community level, social environmental factors associated with engagement in MVPA were higher satisfaction with healthcare service (OR=3.410, 95% CI=1.109~11.269), a high level of social support (OR=5.920, 95% CI=1.459~22.657) and social network (OR=1.025, 95% CI= 1.017~1.032). Conclusion: To promote moderate or vigorous physical activity in Korean adults in some counties, social environmental factors should be considered along with individual correlates.

• Korean Institute of Interior Design Journal
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• v.27 no.1
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• pp.3-11
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• 2018

The number of shared offices has increased and changed within the flow of the era into various forms in recent days. Co-working spaces and related shared space businesses are growing fast, keeping pace with the trend recently. It is confirmed that the need of spaces grew 180% since 2015 to 2017. Most of the shared offices in Seoul are placed in Gangnam circle, it is verified that shared office is providing work, space, and community by visiting cases of foreign companies, domestic companies, local companies. Meanwhile, shared space can be categorized into serviced office, co-working space, virtual office, and daily office. It is to consider various target levels by leasing service or the difference of costs. It is divided into forms of dispersion, circulation, and concentration and is planned to increase the utilization of communities' traffic according to the allocation of shared office. The business is conducted network-centered. During the process of communication, members can get chances to exchange and build communities. They are making business ecosystem which they can coexist and grow together. Shared offices have a view of a solution to empty rooms and will last for a while, and it is expected that co-working system be settled as office space and giving people sense of belonging on their workspace.

• Proceedings of the KIEE Conference
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• summer
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• pp.120-122
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• 2004

This paper analyse impacts of Community Energy System (CES) on the grid during transition periods for integrating of the CES and the grid. In the near future, CES might be one of major energy supply structures. The basic concept of CES is that it supplies electrical and thermal energy to the local customer loads through the islanded power network separated from the grid. Therefore, the interconnection with the grid occurs only when the energy supply from the CES generators does not meet the demand of the local load. For avoiding impacting the grid during the transition operation modes of CES, it is necessary to thoroughly analyse the influences on the grid during those periods. In order to show them, in this paper, we model the CES with 2.34 WVA DG and simulate the impacts on the grid due to interconnection of CES The simulation results show that, in order to reduce bad influences of CES on the grid, CES need the efficient load management and generation control schemes during the transition periods.

• Korean Journal of Organic Agriculture
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• v.28 no.1
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• pp.69-93
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• 2020

The paper is to compare two villages in Songak-myeon, Asan, Cnungnam Province in Korea. It tries to show how the joint village project, which began with the support of the same external organization, produces different results depending on the internal conditions and circumstances of the village. From the end of the 1990s, Pyeongchon-ri and Sugok-ri started developing villages under the influence of the environmentally friendly farming movement. And subsequent supports were provided by local organizations for the development of the village. However, the village project in Sugok-ri, which focused on economic performance, later turned out to be a failure, and the residents changed to pursue activities for their own economic interests individually. On the other hand, In Pyeongchon-ri, the cooperation among villagers was strengthened in implementing support projects by similar external agencies. In addition, community ties and identity have been strengthened as problems have been solved through cooperation among residents in the process of promoting the village project. Nevertheless, projects undertaken in Pyeongchon-ri for the purpose of increasing economic performance was all failed. Through these findings, the paper asserts that the neo-endogenous development approach utilizing external support on the basis of internal cooperative network among villagers must be a very useful method for rural development in contemporary societies.

• Journal of the Korean housing association
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• v.26 no.3
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• pp.33-43
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• 2015

According to aging society and social network society, the necessary of suitable alternative housing in the era has been increasing. The purpose of this research is to understand housing preference depended on the social relation of the elderly who lives in Beijing, China. The social relation was comprised of contact degree with child, contact degree with friend, contact degree with relative, degree of community participation, satisfaction with spouse and satisfaction with child. The housing preference was comprised of housing ownership, housing location, housing size and housing type. The survey was conducted on the elderly of 150 above fifties who lived in Beijing, China. For the result, the social relation was associated with the housing preference. Particularly, the relationship between the children was related to the housing ownership, housing location and housing size. The relationship between friends was related to the housing type. The level of community participation was related to the housing location. Social independence of the elderly, family cohesion, community attachment and adaption tendency were correlated with the housing preference. In conclusion, it was empirically identified that the social relation of the elderly had a relation with predicting housing preference. This result is expected to be useful in development of housing for the elderly in the future.

• Journal of Digital Contents Society
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• v.12 no.1
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• pp.69-75
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• 2011

A clustering process for nodes in a network is required to find communities from social networks. General clustering algorithm needs to be configured the number of communities in advance. The number of communities is a very important element because the result of clustering can be different, depending on it. In this paper, we define the external community relationship which is distinguished between communities. Using the external community relationship as an evaluation metric of clustering result, we propose a method to determine the number of communities dynamically. We compare the proposed method to existing methods based on the accuracy of the number of communities and the average purity of communities. Our results show favorable performance for these criteria compared to the existing methods that were evaluated.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.239-246
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• 2014

In this paper, we propose a method to decide the additional edges in order to integrate two communitites A,B($${\mid}A{\mid}{\geq_-}{\mid}B{\mid}$$, ${\mid}{\cdot}{\mid}$ is the size of the set). The proposed algorithm uses a fitness function that shows the property of a community and the fitness function is defined by the number of edges which exist in the community and connect two nodes, one is in the community and the other is out of the community. The community has a strong property when the function has a large value. The proposed algorithm is a kind of greedy method and when a node of B is merged to A, the minimum number of additional edges is decided to increase the fitness function value of A. After determining the number of additional edges, we define the community connectivity measures using the node centrality to determine the edges locations. The connections of the new edges are fixed to maximize the connectivity measure of the combined community. The procedure is applied for all nodes in B to integrate A and B. The effectiveness of the proposed algorithm is shown by solving the Zachary Karate Club network.