• Title/Summary/Keyword: Cluster-based organization

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The Roles of Intermediaries in Clusters: The Thai Experiences in High-tech and Community-based Clusters

  • Intarakumnerd, Patarapong
    • Journal of Technology Innovation
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    • v.13 no.2
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    • pp.23-43
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    • 2005
  • Industrial clusters are geographical concentrations of interconnected companies, specialised suppliers, service providers, firms in related industries, and associated institutions (for example, universities, standard agencies, and trade associations) that combine to create new products and/or services in specific lines of business. At present, the concept of industrial cluster becomes very popular worldwide, policy makers at national, regional and local levels and business people in both forerunner and latecomer countries are keen to implement the cluster concept as an economic development model. Though understanding of clusters and related promoting policies varies from one place to another, the underlying benefits of clusters from collective learning and knowledge spillovers between participating actors strongly attract the attention of these people. In Thailand, a latecomer country in terms of technological catching up, the cluster concept has been used as a means to rectify weakness and fragmentation of its innovation systems. The present Thai government aspires to apply the concept to promote both high-tech manufacturing clusters, services clusters and community-based clusters at the grass-root level. This paper analyses three very different clusters in terms of technological sophistication and business objectives, i.e., hard disk drive, software and chili paste. It portrays their significant actors, the extent of interaction among them and the evolution of the clusters. Though are very dissimilar, common characteristics attributed to qualified success are found. Main driving forces of the three clusters are cluster intermediaries. Forms of these organizations are different from a government research and technology organization (RTO), an industrial association, to a self-organised community-based organization. However, they perform similar functions of stimulating information and knowledge sharing, and building trust among participating firms/individuals in the clusters. Literature in the cluster studies argues that government policies need to be cluster specific. In this case, the best way to design and implement cluster-specific policies is through working closely with intermediaries and strengthening their institutional especially in linking member firms/individuals to other actors in clusters such as universities, government R&D institutes, and financial institutions.

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STO-based Cluster Header Election Algorithm (STO 기반 클러스터 헤더 선출 알고리즘)

  • Yoon, Jeong-Hyeon;Lee, Heon-Guk;Kim, Seung-Ku
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.587-590
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    • 2019
  • This paper is about to improve the network life's reduction due to the deviation of sensor node and frequently change of network, the main problem of sensor network. The existing Scalable Topology Organization(STO)-based ZigBee Tree Topology Control Algorithm did not consider ways to consume power so the network lifetime is too short. Accordingly, per each round, electing a new parent node and consisting of the new network topology technique, The Cluster Header Selection, extending the network's overall lifetime. The OMNet++ Simulator yielded results from the existing STO Algorithm and the proposed Cluster Header Selection Technique in the same experimental environment, which resulted in an increase in overall network life by about 40% and an improvement of about 10% in performance in the remaining portion of the battery.

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A Comparison of cluster analysis based on profile of LPGA player profile in 2009 (2009년 여자프로골프선수 프로파일을 이용한 군집방법비교)

  • Min, Dae-Kee
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.471-480
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    • 2010
  • Cluster analysis is one of the useful methods to find out number of groups and member’s belongings. With the rapid development of computer application in statistics, variety of new methods in clustering analysis were studied such as EM algorism and Self organization maps. The goals of cluster analysis is finding the number of groupings that are meaningful to me. If data are analyzed perfectly with cluster analysis, we can get the same results from discernment analysis.

Draft Design of DataLake Framework based on Abyss Storage Cluster (Abyss Storage Cluster 기반의 DataLake Framework의 설계)

  • Cha, ByungRae;Park, Sun;Shin, Byeong-Chun;Kim, JongWon
    • Smart Media Journal
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    • v.7 no.1
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    • pp.9-15
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    • 2018
  • As an organization or organization grows in size, many different types of data are being generated in different systems. There is a need for a way to improve efficiency by processing data smarter in different systems. Just like DataLake, we are creating a single domain model that accurately describes the data and can represent the most important data for the entire business. In order to realize the benefits of a DataLake, it is import to know how a DataLake may be expected to work and what components architecturally may help to build a fully functional DataLake. DataLake components have a life cycle according to the data flow. And while th data flows into a DataLake from the point of acquisition, its meta-data is captured and managed along with data traceability, data lineage, and security aspects based on data sensitivity across its life cycle. According to this reason, we have designed the DataLake Framework based on Abyss Storage Cluster.

Probabilistic Filtering Method for Efficient Sensor Network Security (효율적인 센서 네트워크 보안을 위한 확률적인 필터링 기법)

  • Kim, Jin-Su;Shin, Seung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.382-389
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    • 2012
  • The fabricated report attack will not only cause false alarms that waste real-world response efforts such as sending response teams to the event location, but also drains the finite amount of energy in a wireless sensor network. In this paper, we propose a probabilistic filtering method for sensor network security (PFSS) to deal with filtering for the fabricated report. On the basis of filtering scheme, PFSS combines cluster-based organization and probabilistic verification node assignment using distance of from cluster head to base station for energy efficiency and hot spot problem. Through both analysis and simulation, we demonstrate that PFSS could achieve efficient protection against fabricated report attack while maintaining a sufficiently high filtering power.

Policy of the Korean Film Industry Cluster - Discuss of the Busan City Moving of the Film Related Public Organization - (한국의 영상산업 클러스터 정책 -영화영상 관련기관 부산 이전과 관련한 논의-)

  • Kim, Jin-Hae
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.128-136
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    • 2009
  • Korean Film Industry is focused on the Seoul Metropolitan Areas. Recently regional governments are interested in Film Industry and they are constructing the Film Industry Cluster powerfully. Especially the Government of NoMuHyun's the policy of the regional development is changed to the central focused development in the Governmen of LeeMyungbak. And somebody insisted that Film Industry Cluster is based on the Seoul Metropolitan Areas and the moving of the film related public organization to the Busan City should be cancelled for the development of the Korean Film Industry. But the Busan should be the main city in constructing the Film Industry Cluster and the public film organizations should be moved to the Busan.

Enhancing Text Document Clustering Using Non-negative Matrix Factorization and WordNet

  • Kim, Chul-Won;Park, Sun
    • Journal of information and communication convergence engineering
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    • v.11 no.4
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    • pp.241-246
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    • 2013
  • A classic document clustering technique may incorrectly classify documents into different clusters when documents that should belong to the same cluster do not have any shared terms. Recently, to overcome this problem, internal and external knowledge-based approaches have been used for text document clustering. However, the clustering results of these approaches are influenced by the inherent structure and the topical composition of the documents. Further, the organization of knowledge into an ontology is expensive. In this paper, we propose a new enhanced text document clustering method using non-negative matrix factorization (NMF) and WordNet. The semantic terms extracted as cluster labels by NMF can represent the inherent structure of a document cluster well. The proposed method can also improve the quality of document clustering that uses cluster labels and term weights based on term mutual information of WordNet. The experimental results demonstrate that the proposed method achieves better performance than the other text clustering methods.

Single-cell RNA sequencing reveals the heterogeneity of adipose tissue-derived mesenchymal stem cells under chondrogenic induction

  • Jeewan Chun;Ji-Hoi Moon;Kyu Hwan Kwack;Eun-Young Jang;Saebyeol Lee;Hak Kyun Kim;Jae-Hyung Lee
    • BMB Reports
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    • v.57 no.5
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    • pp.232-237
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    • 2024
  • This study investigated how adipose tissue-derived mesenchymal stem cells (AT-MSCs) respond to chondrogenic induction using droplet-based single-cell RNA sequencing (scRNA-seq). We analyzed 37,219 high-quality transcripts from control cells and cells induced for 1 week (1W) and 2 weeks (2W). Four distinct cell clusters (0-3), undetectable by bulk analysis, exhibited varying proportions. Cluster 1 dominated in control and 1W cells, whereas clusters (3, 2, and 0) exclusively dominated in control, 1W, and 2W cells, respectively. Furthermore, heterogeneous chondrogenic markers expression within clusters emerged. Gene ontology (GO) enrichment analysis of differentially expressed genes unveiled cluster-specific variations in key biological processes (BP): (1) Cluster 1 exhibited up-regulation of GO-BP terms related to ribosome biogenesis and translational control, crucial for maintaining stem cell properties and homeostasis; (2) Additionally, cluster 1 showed up-regulation of GO-BP terms associated with mitochondrial oxidative metabolism; (3) Cluster 3 displayed up-regulation of GO-BP terms related to cell proliferation; (4) Clusters 0 and 2 demonstrated similar up-regulation of GO-BP terms linked to collagen fibril organization and supramolecular fiber organization. However, only cluster 0 showed a significant decrease in GO-BP terms related to ribosome production, implying a potential correlation between ribosome regulation and the differentiation stages of AT-MSCs. Overall, our findings highlight heterogeneous cell clusters with varying balances between proliferation and differentiation before, and after, chondrogenic stimulation. This provides enhanced insights into the single-cell dynamics of AT-MSCs during chondrogenic differentiation.

Development of Mongolian Numerical Weather Prediction System (MNWPS) Based on Cluster System (클러스터 기반의 몽골기상청 수치예보시스템 개발)

  • Lee, Yong Hee;Chang, Dong-Eon;Cho, Chun-Ho;Ahn, Kwang-Deuk;Chung, Hyo-Sang;Gomboluudev, P.
    • Atmosphere
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    • v.15 no.1
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    • pp.35-46
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    • 2005
  • Today, the outreach of National Meteorological Service such as PC cluster based Numerical Weather Prediction (NWP) technique is vigorous in the world wide. In this regard, WMO (World Meteorological Organization) asked KMA (Korea Meteorological Administration) to formulate a regional project, which cover most of RA II members, using similar technical system with KMA's. In that sense, Meteorological Research Institute (METRI) in KMA developed Mongolian NWP System (MNWPS) based on PC cluster and transferred the technology to Weather Service Center in Mongolia. The hybrid parallel algorithm and channel bonding technique were adopted to cut cost and showed 41% faster performance than single MPI (Message Passing Interface) approach. The cluster technique of Beowulf type was also adopted for convenient management and saving resources. The Linux based free operating system provide very cost effective solution for operating multi-nodes. Additionally, the GNU software provide many tools, utilities and applications for construction and management of a cluster. A flash flood event happened in Mongolia (2 September 2003) was selected for test run, and MNWPS successfully simulated the event with initial and boundary condition from Global Data Assimilation and Prediction System (GDAPS) of KMA. Now, the cluster based NWP System in Mongolia has been operated for local prediction around the region and provided various auxiliary charts.

Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks

  • Kang, Sang-Wook;Lee, Sang-Bin;Ahn, Sae-Young;An, Sun-Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.1
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    • pp.341-360
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    • 2012
  • The network topology for a wide area sensor network has to support connectivity and a prolonged lifetime for the many applications used within it. The concepts of structure and group in sociology are similar to the concept of cluster in wireless sensor networks. The clustering method is one of the preferred ways to produce a topology for reduced electrical energy consumption. We herein propose a cluster topology method based on sociological structures and concepts. The proposed sociological clustering topology (SOCT) is a method that forms a network in two phases. The first phase, which from a sociological perspective is similar to forming a state within a nation, involves using nodes with large transmission capacity to set up the global area for the cluster. The second phase, which is similar to forming a city inside the state, involves using nodes with small transmission capacity to create regional clusters inside the global cluster to provide connectivity within the network. The experimental results show that the proposed method outperforms other methods in terms of energy efficiency and network lifetime.