• ETRI Journal
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• v.43 no.3
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• pp.427-435
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• 2021

Data filtering is an essential task for improving the energy efficiency of radiofrequency identification (RFID) networks. Among various energy-efficient approaches, clustering-based data filtering is considered to be the most effective solution because data from cluster members can be filtered at cluster heads before being sent to base stations. However, this approach quickly depletes the energy of cluster heads. Furthermore, most previous studies have assumed that readers are fixed and interrogate mobile tags in a workspace. However, there are several applications in which readers are mobile and interrogate fixed tags in a specific area. This article proposes a model for dynamic clustering-based data filtering (DCDF) in mobile RFID networks, where mobile readers are re-clustered periodically and the cluster head role is rotated among the members of each cluster. Simulation results show that DCDF is effective in terms of balancing energy consumption among readers and prolonging the lifetime of the mobile RFID networks.

• World Technopolis Review
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• v.8 no.1
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• pp.43-58
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• 2019

This paper examine the changing ecosystems in Malaysia, starting with the government policy driven greenfield cluster of Cyberjaya, which is part of the Multimedia Super Corridor (MSC) mega project. In this context of an emerging economy, predominantly production oriented, the role of the government was crucial with respect to implementing policies and building infrastructure for the ecosystems. First, the roles played by the cluster development agency, universities, and industry are explained. As the cluster developed, this paper, taking an entrepreneurial ecosystem approach, explores how some actors evolved and changed their roles to become catalyst organisations established for the cluster now serving nationwide. This was followed by the emergence of new actors in the ecosystems, for example, knowledge intermediaries, and new roles for universities. In addition to actors such as universities and industry, this paper recognizes the emergence of media organisations as new actors in the entrepreneurial ecosystems in Malaysia.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.799-811
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• 2016

After the participatory government began, various cluster policies in explicit and tacit forms had been promoted. However, an opinion of coming up with new policy alternative different from the existing one is recently brought up for strengthening the competitiveness of industrial agglomerations. This research attempts to discuss the ways in which both a smart specialization strategy and a triple-helix innovation system approach, as an alternative approach to regional industrial policy, are theoretically associated with the existing cluster policy. Through this discussion, it highlights that post-cluster policy should be not just based on regional specificity, but also facilitated by establishing the consensus space of innovation on the bassis of voluntary cooperation among industry, academy and government. It also stresses that it is necessary to focus on nurturing a new industry by systematic and intensive investment and the diversification of industrial cluster for reinforcing competitiveness of local universities and revitalizing practical cooperation between industry and university.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.489-502
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• 2015

Sometimes called the Silicon Fen, the Cambridge cluster is well known as the most innovative hi-tech cluster in the world. This paper attempts to explore the evolutionary dynamics of the Cambridge cluster, drawing upon the triple-helix approach. To understand the evolutionary dynamics of the Cambridge cluster, it is important to examine the role and impact of the University of Cambridge, which is conceived as one of the best higher educational institutions in the world. The Cambridge cluster has been evolved on the basis of a strong university-industry relationship. University spin-outs have a long tradition in Cambridge with the history of more than a century, and they have played a critical role in making the cluster more innovative. Business networks and social capital molded for a long time in the region become a foundation for active local spin-out activities. However, since 2000 the central government started steadily to require British universities to be an entrepreneurial university, with the purpose of the reduction of university subsidies. As a result of this, spin-out activities in the Cambridge cluster show a sharp decline, which is a factor of threatening the dynamic evolution of the cluster.

• Korean Journal of Environment and Ecology
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• v.30 no.5
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• pp.915-921
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• 2016

This study aims at analysing the differences on visitors' satisfactory level based-on personal lifestyles in a Korean national park. The lifestyles were classified and differences of satisfaction level among the groups were verified from a questionnaire survey in Bukhansan National Park, Korea. Lifestyles by the factor analysis, 5 factors were sorted. 4 clusters classified as the suitable clusters by clustering analysis. As a result from differences of satisfaction level on the lifestyle types, satisfaction level for each cluster has been shown to be statistically meaningful difference. Satisfaction level in active tendency cluster was the highest among the 4 cluster types(Social>Individual>Passive cluster). Satisfaction differences according to the lifestyles suggests that a fragmented approach is needed rather than an integrated approach for managing facilities and programs in Korean national park system.

• The KIPS Transactions:PartA
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• v.14A no.6
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• pp.371-382
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• 2007

Modern server systems are usually composed in the form of cluster systems in order to serve not only as many users but also as many kinds of applications as possible. The progression of the cluster system architecture leads in a middleware approach based on the Java framework. The middleware approach alleviates the efforts for the construction and the management of a server system but still preserves its performance and applications on the server. In this research, we introduce a new clustering scheme for the easy construction and maintenance of a cluster server system with the Java Management Extensions. We first demonstrate the construction and configuration process. Our experiment sets can verify that it is easy to construct, expand and manage a middleware based cluster system as well as the applications which reside on it. In addition, we can achieve reasonable performance on our service oriented clustered system with the help of state-of-the-art middleware. The experimental results of performance demonstration contain the availability of a server, and the effectiveness of load balancing and scheduling mechanisms. Especially, our service oriented scheduling mechanism was shown to successfully manage load imbalance under the normal load and cope with the overloaded situations, compared with other known scheduling mechanisms.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.203-233
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• 2007

This study investigates how characteristics in the value-chain industrial cluster affect the R&D investment and the output of firms in each industries. For this, we try to extract the inter-industrial networking structure from the input-output table in which 17 manufacturing sectors are included. In particular, we will give shape to the "unit structure" which shows the intermediary flows of goods and services between industries in order to get an unit of final demand in a certain industry. Using this "unit structure", we can try the inter-industrial networking analysis and get some indices of centrality and centralization related to the characteristics of each industries in the value-chain industrial cluster. The results show that the centrality in the value-chain industrial cluster does not have any consequence for the R&D investment and the output in each industries. However, there is a correlation between the centralization in the value-chain industrial cluster and the R&D investment and the output of firms in each industries. These results may be very suggestive in bringing up a new frame of industrial cluster policy in a macro level.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.133-155
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• 2005

After the publication of the competitive advantage of nations by Porter in 1990, the competitiveness of regional concentrations of industries has been often explained by the cluster concept. There are many definitions of clusters, but they mainly boil down to a geographically proximate group of interconnected companies and associated institutions in a particular field, linked by commonalities and complementarities. The shipbuilding industry in Korea can for sure be regarded as a competitive industry, as the spectacular rise of its world market share from 2% in the early 1970s to the current 38% impressively testifies, but can it be considered a cluster? Based on an analytical framework consisting of a typology of clusters and a context-sensitive evolutionary approach, the paper will show that over the last thirty years Korea's shipbuilding developed from a mere number of isolated, large shipyards (cathedrals in the desert) established by large conglomerates (chaebol) in close collaboration with the central government into an innovative cluster. The cluster is on the one hand characterised by a strongly developed supply industry and specialised universities and research institutes, but on the other hand by a weak, yet increasing role for local and regional institutions The specific and context-dependent characteristics of this innovative cluster are more important explanations for its competitiveness than the financial interventions by the central government, which are repeatedly put forward by European policy-makers in their trade war with Korea.

• Korean Journal of Remote Sensing
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• v.1 no.1
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• pp.5-27
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• 1985

A hill-sliding technique was devised to extract Gaussian clusters from the multivariate probability density estimates of sample data for the first step of iterative unsupervised classification. The underlying assumption in this approach was that each cluster possessed a unimodal normal distribution. The key idea was that a clustering function proposed could distinguish elements of a cluster under formation from the rest in the feature space. Initial clusters were extracted one by one according to the hill-sliding tactics. A dimensionless cluster compactness parameter was proposed as a universal measure of cluster goodness and used satisfactorily in test runs with Landsat multispectral scanner (MSS) data. The normalized divergence, defined by the cluster divergence divided by the entropy of the entire sample data, was utilized as a general separability measure between clusters. An overall clustering objective function was set forth in terms of cluster covariance matrices, from which the cluster compactness measure could be deduced. Minimal improvement of initial data partitioning was evaluated by this objective function in eliminating scattered sparse data points. The hill-sliding clustering technique developed herein has the potential applicability to decomposition of any multivariate mixture distribution into a number of unimodal distributions when an appropriate diatribution function to the data set is employed.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.391-407
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• 2023

The state of Baden-Württemberg has one of the strongest regional economies in Germany and is known as one of the most innovative regions in both Germany and Europe. Clusters have played a central role in innovation strategies. The article analyzes the current cluster policy in Baden-Württemberg. The Baden-Württemberg cluster policy has systematically supported the development of clusters, cluster initiatives, and state-wide networks. It has also provided increasing support to regions in developing and implementing innovation and networking activities. The cluster policy has specifically focused on promoting collaborations across different industries and technologies, as well as implementing measures for internationalization. The goal of the Baden-Württemberg state cluster policy was to professionalize cluster management and improve its quality. The cluster policy in Baden-Württemberg has adopted a bottom-up approach and utilized various measures and instruments to promote dialogue. The cluster policy in Baden-Württemberg has established a dedicated cluster agency responsible for developing strategies and implementing individual measures.