• Journal of Digital Convergence
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• v.8 no.2
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• pp.115-129
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• 2010

The purpose of this study is to explore manpower education plan of green growth industry of SME in Gwangju area. Nowadays, according to the change of green growth paradigm, We need to be the green switching strategy for solving the structural problem and overcoming a crisis in SME. Based on the findings, the study showed that SME in Gwangju area need to build up network of size and industrial classification. Also, green fusion technology grafting on the existing industry and the policy of educating manpower in long term and custom-made plan of educating manpower need to be followed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1362-1376
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• 2016

A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud's highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine's major components in concurrent, yet isolated working environments.