• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.192-201
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• 2015

This research aims to find planning issues on reuse of an industrial heritage as a cultural cluster and to suggest planning factors which can be referred when designing the similar cases. Analysis standards were formed through reviewing of precedent literatures, and the selected cases(i.e Shanghai M50, Yokohama BankART1929, and Incheon ArtPlatform) were analyzed to identify both physical and nonphysical planning characteristics. By combining analyses, the following results were obtained; (1) The demand and supply of the arts coexist in one place, and the studios and galleries are designed with high ceilings; (2) The regional and historical characteristics are revealed from preserving major architectural elements of previous buildings, and open spaces are provided to promote a variety of activities for local residents; (3) Various strategies to overcome disadvantage in location are developed, and the concepts of design can be easily recognized by buildings' exterior as the reused industrial heritage and the cultural cluster; (4) Diverse supports for artists make it possible to gather many competent artists, and the cooperative networks among artists play a pivotal role in the development of cultural cluster; (5) The cluster runs educational programs reflecting the needs of local residents, and builds a strong relationship with the local community by supporting regional art industry or developing linked programs; (6) The cluster serves various functions such as cafes, pubs, restaurants, art shops, and bookstores, and hosts appealing events and festivals to attract many people even who are not interested in arts.

• Journal of Korean Society of Rural Planning
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• v.12 no.1 s.30
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• pp.37-48
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• 2006

The objectives of this study were to develop an evaluation method of regional vulnerability to agricultural drought and to classify the vulnerability patterns. In order to test the method, 24 city or county areas of Gyeonggi-do were chose. First, statistic data and digital maps referred for agricultural drought were defined, and the input data of 31 items were set up from 5 categories: land use factor, water resource factor, climate factor, topographic and soil factor, and agricultural production foundation factor. Second, for simplification of the factors, principal component analysis was carried out, and eventually 4 principal components which explain about 80.8% of total variance were extracted. Each of the principal components was explained into the vulnerability components of scale factor, geographical factor, weather factor and agricultural production foundation factor. Next, DVIP (Drought Vulnerability Index for Paddy), was calculated using factor scores from principal components. Last, by means of statistical cluster analysis on the DVIP, the study area was classified as 5 patterns from A to E. The cluster A corresponds to the area where the agricultural industry is insignificant and the agricultural foundation is little equipped, and the cluster B includes typical agricultural areas where the cultivation areas are large but irrigation facilities are still insufficient. As for the cluster C, the corresponding areas are vulnerable to the climate change, and the D cluster applies to the area with extensive forests and high elevation farmlands. The last cluster I indicates the areas where the farmlands are small but most of them are irrigated as much.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.623-640
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• 2010

The aim of this paper is to explore opportunities and limitations of the top-down approach to build institutional performance by analyzing the process of local government-led cluster's initiatives. In doing so, this paper investigates processes of the design and implementation of cluster's policy as well as firms' innovative capacities. As the result, it reveals the fallacy of the local government's policy in planning industrial clusters, the inconsistence of cluster initiatives due to changes of regional vision providers, weakness of innovative performance of IT firms supported by the local government in the region. It should be concluded that Chun-cheon City did not succeed in accumulating institutional capabilities which were crucial to implement a cluster initiative.

• Industry Promotion Research
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• v.9 no.3
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• pp.87-100
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• 2024

This study approached the factors affecting companies's sustainable growth by overcoming the valley of death after starting a business from the perspective of technology, market, location, cluster, and INC model, and conducted a case study on success and failure companies in Daedeok Cluster to explore the adequacy and suitability of the main factors of previous studies. The results of this study suggest that location accessibility-based collaboration between innovators is important for the growth of companies in the cluster, and balanced growth such as innovative ideas, market needs, and capability to meet needs is necessary for companies' products and services to create innovative value in the market. This study is worth in that it presents factors for sustainable corporate growth through the analyses of success and failure cases for companies in the Daedeok Cluster. In addition, the research is successful in that it proposed a policy support plan based on collaboration among companies to foster companies in the cluster.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.437-456
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• 2016

The purpose of this study is to understand the locational characteristics of performing art industries and to investigate the linkages with local economy. For the purpose, we examine the spatial concentration of cultural and artistic resources in Korea first, and than focus on Seoul where the resources of performing art industries are concentrated to the utmost. To distinguish the distribution aspect and locational characteristics of performing art industries, we apply the Kernel density analysis and LISA (Local Indicator of Spatial Association) on the address data of performing art theater, gallery, and movie theater. In contrast to galleries and movie theaters. the spatial distribution pattern of performing art theaters reveals a unique local cluster centered on the Daehakro area. We confirm that the Daehakro area constitutes a performing art industry cluster in their dense distribution of various related activities making up the value chain of the performing art industry. Multiple regression analysis probes the related economic activities to explain the distribution of performing art theaters as well as the linkages with the local economic landscape.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.35-41
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• 2018

In this paper, we propose a swarm-based possibilistic c-means(PCM) algorithm in order to overcome the problems of PCM, which are sensitiveness of clustering performance due to initial cluster center's values and producing coincident or close clusters. To settle the former problem of PCM, we adopt a swam-based global optimization method which can be provided the optimal initial cluster centers. Furthermore, to settle the latter problem of PCM, we design an adaptive thresholding model based on the optimized cluster centers that yields preliminary clustered and un-clustered dataset. The preliminary clustered dataset plays a role of preventing coincident or close clusters and the un-clustered dataset is lastly clustered by PCM. From the experiment, the proposed method obtains a better performance than other PCM algorithms on a simulated magnetic resonance(MR) brain image dataset which is corrupted by various noises and bias-fields.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.1
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• pp.141-151
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• 2010

The purpose of the study was to offer basic documents to the textile fashion industry by investigating changes of figures by various factors as each other social and environment. This study analyzes characterization and classification of body types of Mongolian men. 100 adult subjects within the 18 to 24 age group were studied. The physical measurements of the research subjects come up to a total of 63 items. Data was statistically analyzed with SPSS program using basic statistics, t-test, one-way ANOVA, Duncan-test, factor analysis and cluster analysis. The conclusions are as follows. In the result of factors analysis in physical measurements of Mongolian men, 10 factors such as the vertical size of body, on the obesity of body, the leg size, the bust from back length, the bust from front length, the shoulder size were extracted. The accumulated contributory rate of these was 73.86%. The cluster analysis for the comparison of the body types, by categorizing the body types produced three types. The comparison of 45 items in physical measurements between Korean men and Mongolian men resulted in the differences in 20 items. While the height items including stature between them showed negligible differences.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4442-4466
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• 2016

This paper proposes a privacy-preserving aggregation scheme based on the designed P-Gene (PAPG) for sensor networks. The P-Gene is constructed using the designed erasable data-hiding technique. In this P-Gene, each sensory data item may be hidden by the collecting sensor node, thereby protecting the privacy of this data item. Thereafter, the hidden data can be directly reported to the cluster head that aggregates the data. The aggregation result can then be recovered from the hidden data in the cluster head. The designed P-Genes can protect the privacy of each data item without additional data exchange or encryption. Given the flexible generation of the P-Genes, the proposed PAPG scheme adapts to dynamically changing reporting nodes. Apart from its favorable resistance to data loss, the extensive analyses and simulations demonstrate how the PAPG scheme efficiently preserves privacy while consuming less communication and computational overheads.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.2
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• pp.138-150
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• 2016

This study aims to analyze the structure and characteristics of the domestic online game industry using network analysis. In particular, two-mode network analysis is employed to measure the network structure, centrality, and cluster for two types of online game platforms, online games and mobile games, from 1996 to 2014. We also conduct a dynamic analysis to capture the structural changes in the ecosystem by internal and external environmental changes before and after turning point for each online game platform. It is revealed that the online game econsystem has the higher number of clusters and higher concentration ratio than those of mobile game ecosystem. In dynamic analysis, both platforms exhibit similar trends over time with the increasing number of clusters, enlargement of largest cluster's size, and decreasing concentration ratio. This study is expected to provide fruitful implications for strategic decision making of online game companies and policy making for the online game industry.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.3
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• pp.222-230
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• 2016

As the global game market has been more competitive, it has been important to analyze success factors of game products. In this paper, we applied a Bass Diffusion Model and Clustering Analysis to identify the success factors of games based on data from Steam, an international game platform. By using a diffusion model, we first categorize game products into two groups : successful and unsuccessful games. Then, each group has been analyzed by using clustering analysis based on product features such as genres, price, and minimum system requirements. As a result, success factors of a game have been identified. The result shows that customers in game industry appreciate sophisticated contents. Unlike many other industries, price is not considered as a key success factor in the game industry. Expecially, advanced independent video games (commonly referred to as indie games) with killer contents show competitiveness in the market.