• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2885-2890
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• 2014

Localization of a sensor network node using machine learning has been recently studied. It is easy for Support vector machines algorithm to implement in high level language enabling parallelism. Raspberrypi is a linux system which can be used as a sensor node. Pi can be used to construct IP based Hadoop clusters. In this paper, we realized Support vector machine using python language and built a sensor network cluster with 5 Pi's. We also established a Hadoop software framework to employ MapReduce mechanism. In our experiment, we implemented the test sensor network with a variety of parameters and examined based on proficiency, resource evaluation, and processing time. The experimentation showed that with more execution power and memory volume, Pi could be appropriate for a member node of the cluster, accomplishing precise classification for sensor localization using machine learning.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1385-1397
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• 2018

There are many factors that affect the wind speed. In addition, the randomness of wind speed also leads to low prediction accuracy for wind speed. According to this situation, this paper constructs the short-time forecasting model based on the least squares support vector machines (LSSVM) to forecast the wind speed. The basis of the model used in this paper is support vector regression (SVR), which is used to calculate the regression relationships between the historical data and forecasting data of wind speed. In order to improve the forecast precision, historical data is clustered by cluster analysis so that the historical data whose changing trend is similar with the forecasting data can be filtered out. The filtered historical data is used as the training samples for SVR and the parameters would be optimized by particle swarm optimization (PSO). The forecasting model is tested by actual data and the forecast precision is more accurate than the industry standards. The results prove the feasibility and reliability of the model.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.91-105
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• 2010

A wireless sensor network communication technique has been broadly studied with continuous advances in ubiquitous computing environment. Especially, because the resource of the sensor node is limited, it is important to reduce the communication energy by using an energy-efficient routing protocol. The existing cluster-based routing protocols have a problem that they cannot select a cluster head efficiently by randomly choosing a head. In addition, because the existing cluster-based routing protocols do not support the large scale of network, they cannot be used for various applications. To solve the above problems, we, in this paper, propose a new cluster-based routing protocol using representative paths. The proposed protocol constructs an efficient cluster with distributed cluster heads by creating representative paths based on hop count. In addition, a new routing protocol supports multi-hop routing for data communication between a cluster member node and a cluster head as well as between cluster heads. Finally, we show that our protocol outperforms LEACH and Multihop-LEACH in terms of reliability and scalability.

• 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.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.160-171
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• 2018

The purpose of this study is to present segmentation strategies by analyzing SMEs' perceptions of SME support program. That's why we used the research report of the NST(National Research Council of Science & Technology), which is advanced cooperation way between GRIs and SMEs based on market demand. As a result of this study, it was found that there is a difference in the demand for the SME support program depending on the type of cooperation and the cooperation experience with GRIs. This implies that a differentiated support strategy is required for the establishment of successful partnership between GRIs and SMEs. The result of this study suggests the direction of open collaborative ecosystem formation in the future based on the support strategies of each cluster. And it is expected to help SMEs improve the competitiveness and efficiency of support through effective customization support do.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4A
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• pp.388-398
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• 2011

In this paper, we introduce an EMSP(Efficient Mobility Support Protocol) for mobile sensor network with mobility-aware. We propose virtual cluster and node split scheme considering movements of mobile nodes. The existing M-LEACH protocol suffers from communication cost spent on JOIN request information during invitation phase. To address this issue, the large boundary of the cluster in LUR-tree can reduce superfluous update cost. In addition to the expansion of the cluster, the proposed approach exploits node split algorithms used in R-tree in order to uniformly form a cluster. The simulated results show that energy-consumption has less up to about 40% than LEACH-C and 8% than M-LEACH protocol. Finally, we show that the proposed scheme outperforms those of other in terms of lifetime of sensor fields and scalability in wireless sensor network.

• Korea Trade Review
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• v.42 no.1
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• pp.237-256
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• 2017

The members of Food Valley in Netherlands recognised that the networking function is the most important among demand articulation, network formation and innovation-process support. Furthermore, SMEs expect the support of internationalization from Food Valley organization. It is expected that the function of Food Valley which can establish effective network and environment for open innovation will be more significant in the future. Our government also designated Iksan as a national food cluster for preparing the growth of international food market and promoting the effective growth of domestic food industry. As noted earlier in the case of Food Valley, the government should make Iksan Cluster focus on building network for innovation and development of domestic food industry through making innovative environment between food industry and local university. And then, this food cluster will become the center of export of food products and sophistication of domestic food sector.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.688-701
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• 2014

This article is focused on the agglomeration and decline factors of the footwear industries in Busan metropolitan area from the industrial cluster point of perspective. For the research, 'the components and network of industrial cluster model' are presented which is restructured of M. Porter's cluster model. Moreover, this research have examined the agglomeration and decline process of the footwear industries in Busan area and conducted a survey targeting footwear enterprises in Busan area. In the late 1980's, the footwear industries in Busan area formed the largest footwear industrial cluster in the world. However, the industrial cluster started to decline from early 1990's and now it is reduced in to 1/10 size of the past. The growth factors of Busan footwear industrial cluster include cheap and plentiful labours, penetration of OEM production, entrepreneur spirit, human resources network, government's support and so on. Moreover, the agglomeration of relative companies also created high competitiveness in this cluster. The decay factors are pointed out sudden rise of labour cost, shortage of factory site, rise of land price, alteration of government policy, international relocation of footwear production and growth of overseas industrial cluster. Busan footwear industrial cluster nowadays has declined in its size, but it is the only footwear industrial cluster in Korea.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.451-461
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• 2008

In this study, factor and cluster analysis have been conducted to group the differences in Korean view on national economic policy in the sample of the 2006 Korean General Social Survey (KGSS). According to the 2006 KGSS, the 6 items with a 5-point Likert scale include the questions about whether or the extent to which each respondent supports the specific types of governmental economic policy. In our study, at first, the factor analysis has converted the original 6 items into the 3 composite variables that account for 81% in the total variability. As the second step of factor analysis, factor scores have been computed. Then, the K-means cluster analysis based on the factor scores has been conducted to group the survey respondents into the 3 clusters. In particular, the cross-tabulation analysis has shown that the distribution of the 3 clusters varies with the respondents' socio-demographic characteristics.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.1-27
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• 2006

This paper rejuvenates the existing discussion on the importance of cluster approach to industry development strategies. Current evidences suggest that the shape of economic policy and practice is changing significantly around the world. Governments continually search for new tools and policy formulas to improve economic performance and create economic prosperity for all citizens. In this context a more proactive and strategic role for government in support of the cluster-based economic development model has emerged. This paper uses Singapore's petrochemical industry as an example to study the cluster approach to industry development. In doing so, there is much optimism to the importance of state and its institutions to play a significant role on industry development. Nevertheless, the study also raises doubts on whether the cluster-based strategy is due to the concept itself or due to other important factors.