• The Journal of Information Technology
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• v.12 no.2
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• pp.31-37
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• 2009

Component-based software development [CBSD] is a new paradigm of recent software development. CBSD was started from reuse of software and study on software component technique. In order to improve produce and quality of software development, there is study on reuse of components lively and how to develop, share, and manage components effectively. In this study, I would like to suggest a method that is able to simply test a new application system by developing systems developed individually into components, registering them, and combining them.

• Journal of Fashion Business
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• v.13 no.4
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• pp.21-36
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• 2009

The objective of the study is to create color plan for company D based on color images of the Bloomsbury Group paintings, which is an art institute based in Bloomsbury, London, a hometown of the company, to renew the traditional brand image of the company by blending fashion and art. This study analyzed 'D's previous F/W Color planning from 2003 to 2007 through NCS to understand characteristics of company D's color planning. It considered company D's color renewal concept by looking into Bloomsbury Group's backgrounds and pieces. Based on 2008-2009 F/W color trend and the analysis result, the study suggests a color plan with reference to a case study of the company D, for which I work as a colorist. The color renewal of the company D for 2008-2009 F/W season was categorized into theme I. Bloomsbury and theme II. Charleston for planning. The following table summarizes the result of 2008-2009 F/W season color plan with focus on development of new check and print patterns. The significance of the study can be found in that it advanced beyond the color planning stage to be applied to the actual renewal. Through a renewal of an existing brand, a fashion brand can be revitalized to have distinguished competitiveness.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.6 s.99
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• pp.635-644
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• 2005

This paper is. a study on relation between road traffic noise(RTN) and sound power level(PWL). At present, many experimental formulae and prediction formulae are used for prediction of RTN. But these formulae are difficult to appiy to the metropolitan area because these formulae are inaccurate in the different condition from reference condition. This paper calculate RTN and PWL of each prediction formula, choose the best one and make a noise map of the subject area. Procedure is as follows. First, calculate $L_{eq}$ of RTN using experimental formulae and prediction formulae. Second, calculate PWL using $L_{eq}$ of RTN and distance attenuation for point source at semi-free field. Third, choose the most accurate formula. And finally, make a noise map of the subject area at present and future. The result using noise map will be able to apply to application field. Noise mapping tool used on this paper is Raynoise program using Ray Tracing Method(RTM), Mirror Image Source Method(MISM) and Hybrid Method(HM).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.367-380
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• 2022

In this study, the periodic and simplified update and production way of the ECVAM (Environmental Conservation Value Assessment Map) was presented through the classification of environmental values using KOMPSAT-3A satellite imagery and land cover map. ECVAM is a map that evaluates the environmental value of the country in five stages based on 62 legal evaluation items and 8 environmental and ecological evaluation items, and is provided on two scales: 1:25000 and 1:5000. However, the 1:5000 scale environmental assessment map is being produced and serviced with a slow renewal cycle of one year due to various constraints such as the absence of reference materials and different production years. Therefore, in this study, one of the deep learning techniques, KOMPSAT-3A satellite image, SI (Spectral Indices), and land cover map were used to conduct this study to confirm the possibility of establishing an environmental assessment map. As a result, the accuracy was calculated to be 87.25% and 85.88%, respectively. Through the results of the study, it was possible to confirm the possibility of constructing an environmental assessment map using satellite imagery, optical index, and land cover classification.