• Title/Summary/Keyword: 클러스터 형성

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Space-time cluster research of R&D industry in Seoul, Korea (서울시 R&D 산업체의 시공간 클러스터 분석)

  • Park, Sun-Young;Kim, Youngho
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.3
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    • pp.492-511
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    • 2013
  • According to IASB(International Accounting Standards Board), R&D(Research and Development) is defined as a tertiary sector industry combining research and development. Many studies investigated R&D industry clusters in the form of high-tech cluster(Coe et al., 2007). However, these studies only generalized various spatial cluster of R&D industries. In particular, the studies could not considers cluster formation process over time lacking statistical significance in space-time perspectives. This study, therefore, indicates the limitation of recent R&D cluster literature which only considers either time or space. In addition, this study explores space-time clusters in R&D industry together with textile and cloth industry for comparison. Discovering the existence and location of clusters, this study utilized space-time K function and space-time scan statistics. The result shows that R&D industry presents significant clusters only in spatial dimension. No significant clusters were found in space-time dimension. However, textile and clothing industry presents significant clusters in both spatial and space-time dimensions.

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Parallel Nonlinear Analysis of Prestressed Concrete Frame on Cluster System (클러스터 시스템에서 프리스트레스트 콘크리트 프레임의 병렬 비선형해석)

  • 이재석;최규천
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.14 no.3
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    • pp.287-298
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    • 2001
  • Analysis of nonlinear behavior of prestressed concrete frame structures on PC is a time-consuming computing job if the problem size increase to a certain degree. Cluster system has emerged as one of promising computing environments due to its good extendibility, portability, and cost-effectiveness, comparing it with high-end work-stations or servers. In this paper, a parallel nonlinear analysis procedure of prestressed concrete frame structure is presented using cluster computing. Cluster system is configured with readily available pentium III class PCs under Win98 or Linux and fast ethernet. Parallel computing algorithms on element-wise processing parts including the calculation of stiffness matrix, element stresses and determination of material states, check of material failure and calculation of unbalanced loads are developed using MPL. Validity of the method is discussed through typical numerical examples. For the case of 4 node system, maximum speedup is 3.15 and 3.74 for Win98 and Linux, respectively. Important issues for the efficient use of cluster computing system based un PCs and ethernet are addressed.

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The Structural and Spatial Characteristics of Network Actors in Mini Cluster for Creative Milieu: The Case of Digital Media City (창조환경을 위한 미니클러스터 네트워크 주체들 간의 구조적.공간적 특성 -디지털미디어시티를 사례로-)

  • Choi, Hae-Ok
    • Journal of the Korean Geographical Society
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    • v.47 no.3
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    • pp.375-389
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    • 2012
  • Many policy makers believe that geographically clustered business activities, in order to stimulate regional innovation, are the keys to development. Underlying the assumption between cluster and development, mere co-located forms engaged in innovative process helped from knowledge transmission locally. To address the constraints of creative economy, creative milieu require networking to support innovation activities. This paper examines the development of the mini cluster reconsidered in creative milieu that shifted environment development through network activities. It shows that the powerful node get more powerful, weak node get weaker in institutional network. Moreover, the significant of cluster in creative milieu is that brings out synergy to spill over knowledge through inter-relationship based on face-to-face meeting. Creative milieu benefits from and contributes to the competitiveness of the city, they are also embedded in its network activities.

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A Study On Clusters and Ecosystem In Distribution Industry Using Big Data Analysis (빅데이타 분석을 통한 유통산업 클러스터의 형성과 생태계 연구)

  • Jung, Jaeheon
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.360-375
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    • 2019
  • This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

Characteristics of the Social Innovation Cluster Formation in Seongdong-gu and Eunpyeong-gu, Seoul, Korea (서울 성동구와 은평구의 사회혁신클러스터 형성 특성)

  • Roh, Kyeongran;Choo, Sungjae
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.2
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    • pp.214-235
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    • 2019
  • This study adopts the concept of social innovation cluster in which social economy organizations as one of the emerging axes of economic systems operate in collaboration with government agencies, investment institutions, intermediate supporting organizations and non-profit organizations, and investigates how the clusters of this kind grow in the context of the Korean socio-economic situation for the cases of Seongdong-gu and Eunpyeong-gu in Seoul, Korea. For this purpose, it has identified the actors of the clusters and their internal relations, and analyzed the process of cluster formation. A social network analysis of the partnerships between the actors has shown that Seongdong-gu has more diversified types of the network participation of universities, global networks and investment institutions than Eunpyeong-gu. It is interpreted that this pattern has resulted from the domination of private organizations in the former area, which is also confirmed by in-depth interviews with persons involved in the clusters. Although the facets of social innovation clusters are manifested in both areas, even in their initial stage, such factors as linkages between industrial actors and convergence with other clusters, which appear in the maturing stage of cluster formation, has yet to be found. It is suggested that the sustainable growth of social innovation clusters should be accompanied by information sharing and cooperation between the two areas on the future orientation of development.

Energy Efficient Cluster Head Election Algorithm Considering RF-Coverage (RF-Coverage를 고려한 에너지 효율적인 클러스터 헤드 선출 알고리즘)

  • Lee, Doo-Wan;Han, Youn-Hee;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.4
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    • pp.993-999
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    • 2011
  • In WSN, at the initial stage, sensor nodes are randomly deployed over the region of interest, and self-configure the clustered networks by grouping a bunch of sensor nodes and selecting a cluster header among them. Specially, in WSN environment, in which the administrator's intervention is restricted, the self-configuration capability is essential to establish a power-conservative WSN which provides broad sensing coverage and communication coverage. In this paper, we propose a communication coverage-aware cluster head election algorithm for Herearchical WSNs which consists of communication coverage-aware of the Base station is the cluster head node is elected and a clustering.

Communication Protocol to Support Mobile Sinks by Multi-hop Clusters in Wireless Sensor Networks (무선 센서 네트워크에서 멀티-홉 클러스터를 통한 이동 싱크 지원 통신 프로토콜)

  • Oh, Seung-Min;Jung, Ju-Hyun;Lee, Jeong-Cheol;Park, Ho-Sung;Yim, Yong-Bin;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3A
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    • pp.287-295
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    • 2010
  • In wireless sensor networks(WSNs), the studies that support sink mobility without global position information exploit a Backbone-based Virtual Infrastructure (BVI) which considers one-hop clusters and a backbone-based tree. Since the clusters of a sink and a source node are connected via flooding into the infrastructure, it causes high routing cost. Although the network could reduce the number of clusters via multi-level clusters, if the source nodes exist at nearest clusters from the cluster attached by the sink and they are in different branches of the tree, the data should be delivered via detour paths on the tree. Therefore, to reduce the number of clusters, we propose a novel multi-hop cluster based communication protocol supporting sink mobility without global position information. We exploit a rendezvous cluster head for sink location service and data dissemination but the proposed protocol effectively reduces data detour via comparing cluster hops from the source. Simulation shows that the proposed protocol is superior to the existing protocols in terms of the data delivery hop counts.

Rethinking Clusters : Towards a More Open and Evolutionary Approach (전통적 산업집적지의 변화과정과 경제적 성과)

  • Mackinnon, Danny
    • Journal of the Korean Academic Society of Industrial Cluster
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    • v.2 no.1
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    • pp.14-27
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    • 2008
  • Ousters have become a key focus of interest and analysis over the last decade or so, informed by the work of the Harvard business economist Michael Porter. Recent research, however, suggests that the classic Porterian conception of clusters needs to be rethought. In particular, the idea that clusters are geogaphically bounded and integrated units whose primary link to the outside world is through the export of goods and services to global markets is highly Questionable, if not untenable. Relational approaches to clusters and regional development stress the importance of the wider networks and 'pipelines' through which knowledge is exchanged with key partners and collaborators located outside of the particular cluster in question. Rather than the main external links being those between leading firms and global markets, firms may engage in a range of global relations with collaborators and suppliers. This paper address the challenge of rethinking clusters in the light of the recent emphasis on global networks md connections, drawing on experience from m old industrial region in Western Europe Scotland. In assessing cluster experiences and initiatives in Scotland, I examine the development of the oil and gas and electronics clusters. In conclusion, I suggest that cluster initiatives me only likely to generate lasting benefits for the region in question if there is significant local ownership md control of key industries and clusters.

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Exploring the Triple Helix Innovation System in the Dutch Food Cluster(Food Valley) (네덜란드 라흐닝언 식품산업 클리스터(푸드밸리)의 트리플 힐릭스 혁신체계)

  • Lee, Chul-Woo;Kim, Tae-Yeon;Lee, Jong-Ho
    • Journal of the Korean association of regional geographers
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    • v.15 no.5
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    • pp.554-571
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    • 2009
  • This paper explores the triple helix innovation system in Food Valley in the Netherlands which is considered one of the most innovative food clusters in the world. The triple helix approach has been so far little tackled in the literature on innovation system and cluster. However, tills approach can be a useful tool for understanding the dynamic characters and knowledge transfer mechanism of industrial cluster. On the basis of an in-depth case study, we argue that Food Valley has evolved through four circles of growth in the triple helix innovation system. From the mid-2000s onward, it is seen that Food Valley has been on the stabilized circle in the triple helix system of innovation. Centered upon Wageningen UR, local universities and research centers play a pivotal role in building the triple helix innovation system. To cope with radical changes in markets and technology since the late 1980s, local firms have made a great deal of effort to reinforce the university-industry partnership. On the other hand, government agencies have played a critical role for establishing institutional milieu that facilitate university-industry partnerships and local knowledge transfer and spillover.

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An Analysis of Threshold-sensitive Variable Area Clustering protocol in Wireless Sensor Networks (무선 센서 네트워크 환경의 Threshold-sensitive 가변 영역 클러스터링 프로토콜에 관한 분석)

  • Choi, Dang-Min;Moh, Sang-Man;Chung, Il-Yang
    • Journal of Korea Multimedia Society
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    • v.12 no.11
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    • pp.1609-1622
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    • 2009
  • In wireless sensor networks, a clustering protocol is an efficient method to prolong network lifetime. In general, it results in more energy consumption at the cluster-head node. Hence, such a protocol must changes the cluster formation and cluster-head node in each round to prolong the network lifetime. But, this method also causes large amount of energy consumption during the set-up process of cluster formation. In order to improve energy efficiency, in this paper, we propose a new clustering algorithm. In this algorithm, we exclude duplicated data of adjacent nodes and transmits the threshold value. We define a group as the sensor nodes within close proximity of each other. In a group, a node senses and transmits data at a time on the round-robin basis. In a view of whole network, group is treated as one node. During the setup phase of a round, intra clusters are formed first and then they are re-clustered(network cluster) by choosing cluster-heads(group). In the group with a cluster-head, every member node plays the role of cluster-head on the round-robin basis. Hence, we can lengthen periodic round by a factor of group size. As a result of analysis and comparison, our scheme reduces energy consumption of nodes, and improve the efficiency of communications in sensor networks compared with current clustering methods.

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