• Journal of Korean Society of Coastal and Ocean Engineers
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• v.28 no.4
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• pp.232-239
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• 2016

In this study, the two-way coupled analysis method of LES-WASS-2D and DEM has been newly developed to review numerically wave attenuation due to behavior of vegetation zone could not yet applied in numerical analysis. To verify the applicability, two-way coupled analysis method is analyzed comparing to the experimental result about characteristics of wave attenuation using vegetation. Numerically analyzed behavior and characteristics of wave attenuation according to height length, distribution length, spacing of vegetation zone and incident wave conditions. It was confirmed to be effective of 3~4% wave attenuation were increased height length and distribution length, narrowed spacing of vegetation. Finally, this study is applicable to behavior and wave attenuation prediction of vegetation zone.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.1-9
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• 2015

In most techniques of information differentiating for data stream mining, they give larger weight to the information generated in recent compared to the old information. However, there can be important one among the old information. For example, in case of a person was a regular customer in a retail store but has not come to the store in recent, old information with the shopping record of the person can be importantly used in a target marketing for increasing sales. In this paper, highly attention itemsets(HAI) are defined, which mean the itemsets generated in the past frequently but not generated in recent. In addition, a twao-way decay mechanism and a data stream mining method for finding HAI are proposed.