• 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.

• Journal of KIISE:Databases
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• v.35 no.2
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• pp.125-131
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• 2008

It is very useful to predict orthologs for new genome annotation and research on genome evolution. We showed that the previous work can be extended to construct OCs(Ortholog Clusters) automatically from multiple complete-genomes. The proposed method also has the quality of production of InParanoid, which produces orthologs from just two genomes. On the other hand, in order to predict more exactly the function of a newly sequenced gene it can be an important issue to prevent unwanted inclusion of paralogs into the OCs. We have, here, investigated how well it is possible to construct a functionally purer OCs with score cut-offs. Our OCs were generated from the datasets of 20 procaryotes. The similarity with both COG(Clusters of Orthologous Group) and KO(Kegg Orthology) against our OCs has about 90% and inclines to increase with the growth of score cut-offs.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.1
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• pp.87-92
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• 2002

Placement is an important step in the physical design of VLSI circuits. It is the problem of placing a set of circuit modules on a chip to optimize the circuit performance. The most popular algorithms for placement include the cluster growth, simulated annealing and integer linear programming. In this paper we propose a stochastic evolution algorithm searching solution space for the placement problem, and then compare it with simulated annealing by analyzing the results of each implementation.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.675-699
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• 2012

Recently innovation cluster has been emphasized as a valid policy measure for innovation. For suggesting a new model of innovation cluster, we conducted literature review for the theories of regional innovation system(RIS) and innovation clusters. As a result, the success factors of innovation cluster were classified into system measures, physical measures, and social(human resources) measures from the perspective of RIS. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. For an in-depth analysis, a survey for the tenant companies in Pangyo technovalley(PTV) was conducted. As a result, it was found that Gyeonggi province's innovation cluster policy is evolving from 'a government-initiated system' to 'the 3rd-generation convergence RIS' and that PTV is closely related to the system measures of 'support for up-to-date management and technology information' and 'support for academic-research-industry cooperative research and technological cooperation,' physical measures of 'strengthening the function of PTV support division' and 'shared research equipment and other infrastructures,' and social measures of 'legal, financial, and administrative support system' and 'public childcare facilities'. Also, technology sector was divided into IT and non-IT for a validity check to find out that there was no significant difference in all factors, except for the public relations factors. This study is expected to provide resources for other related researches.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.107-116
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• 2010

The facility location problem is one of the traditional optimization problems. In this paper, we deal with the single source capacitated facility location problem (SSCFLP) and it is known as an NP-hard problem. Thus, it seems to be natural to use a heuristic approach such as evolutionary algorithms for solving the SSCFLP. This paper introduces a new efficient evolutionary algorithm for the SSCFLP. The proposed algorithm is devised by incorporating a general adaptive link adjustment evolutionary algorithm and three heuristic local search methods. Finally we compare the proposed algorithm with the previous algorithms and show the proposed algorithm finds optimum solutions at almost all middle size test instances and very stable solutions at larger size test instances.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2953-2955
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• 2000

본 논문에서는 전문가의 지식이 없는 상황에서 자동적으로 최적의 퍼지 제어기를 설계하는 방법에 대해 연구한다. 먼저 퍼지 제어기의 규칙 설정을 위해 기존의 PID 제어기의 입출력 데이터를 클러스터링한다. 군집된 데이터들로부터 클러스터의 수를 파악하고 이를 바탕으로 퍼지 제어를 위한 규칙의 수를 결정한다. 둘째로 퍼지 제어기의 여러 파라미터들은 유전자 알고리즘을 적용하여 최적화한다. GA를 이용한 최적화 과정에서는 성능평가 기준으로 기준입력에 대한 시스템 응답간의 오차와 오버슈트의 크기를 사용하여 응답이 빠르고 안정적인 제어기를 설계하도록 진화방향을 설정한다. 이렇게 만들어진 퍼지 제어기의 성능을 기존의 PID 제어기와 비교 평가한다

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.388-405
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• 2009

This paper examines the triple helix innovation system in the Oresund food cluster, considered as one of the most competitive food clusters in the globe. The result of the case study represents that the triple helix system of the Oresund food cluster is composed of three layers of triple helix spaces. Such three triple helix spaces play a crucial role in making the industry-university-government relationships interactive and dynamic. First, knowledge spaces in the Oresund food cluster are very strong and competitive in education and R&D capabilities in related to the food sector. 14 universities in the Oresund region are connected and coordinated by the integrated organization body, called the Oresund University. Second, the Oresund Food Network(OFN), as a central consensus space in the Oresund food cluster, functions as a pivotal organization that facilitates and coordinates cooperations between firms and universities. Third, most important innovation space in the triple helix system of Oresund food cluster can be science parks and business incubators such as Ideon Science Park, which contribute to linking, between research and commercialization, and between firms and universities in the region. In a nutshell, the Oresund food cluster has been evolved as an innovative regional cluster on the basis of well-established three-layered triple helix spaces of regional innovation system.

• Smart Media Journal
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• v.10 no.3
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• pp.23-30
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• 2021

Although the manufacturing time series data clustering technique is an important grouping solution in the field of detecting and improving manufacturing large data-based equipment and process defects, it has a disadvantage of low accuracy when applying the existing static data target clustering technique to time series data. In this paper, an evolutionary computation-based time series cluster analysis approach is presented to improve the coherence of existing clustering techniques. To this end, first, the image shape resulting from the manufacturing process is converted into one-dimensional time series data using linear scanning, and the optimal sub-clusters for hierarchical cluster analysis and split cluster analysis are derived based on the Pearson distance metric as the target of the transformation data. Finally, by using a genetic algorithm, an optimal cluster combination with minimal similarity is derived for the two cluster analysis results. And the performance superiority of the proposed clustering is verified by comparing the performance with the existing clustering technique for the actual manufacturing process image.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.820-844
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• 2014

Various innovation theories, such as innovation system, innovation cluster, triple helix model, are different in their focus. However they all emphasize the interaction between innovation actors in order to generate, diffuse, and appropriate technological innovations successfully. This study analyzes how the interaction of innovation actors in Daedeok Innopolis has been changed since the introduction of innovation cluster policy like the designation of Daedeok Innopolis. Based on the analysis of survey data, Innopolis statistics, and patent joint-application data, we come to the conclusions that the Daedeok Innopolis has characteristics of multi-level governance structure, in which innovation cluster, i.e. Daedeok Innopolis, regional innovation system, and national innovation system directly overlap under the framework of innovation system. In addition, from the perspectives of triple helix model, we are able to verify that the inter-domain interactions between innovation actors, such as tri-lateral network, have been constantly increased in the Daedeok Innopolis. Based on our analysis, we identify some policy suggestions in order to strengthen the competitiveness of the Daedeok Innopolis as well as other innovation clusters in Korea. First, the network activities between innovation actors within innovation cluster should be strengthened based on the geographical accessibility. Second, private intermediate organizations should be established and their roles should be extended. Third, the entrepreneurial activities of universities within innovation cluster should be strengthened. In other words, the roles of universities within the Innopolis should be activated. Finally, the government should provide relevant policy supports to activate the interactions between innovation actors within innovation cluster.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.204-210
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• 2005

This paper presents online identification algorithm for TSK fuzzy model. The proposed algorithm identify structure of premise part by using distance, and obtain the parameters of the piecewise linear function consisting consequent part by using recursive least square. Only input space was considered in Most researches on structure identification, but input and output space is considered in the proposed algorithm. By doing so, outliers are excluded in clustering effectively. The existing other algorithm has disadvantage that it is sensitive to noise by using data itself as cluster centers. The proposed algorithm is non-sensitive to noise not by using data itself as cluster centers. Model can be obtained through one pass and it is not needed to memorize many data in the proposed algorithm.