• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.137-157
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• 2008

Fashion merchandiser profession is a highly information-intensive job. In fact, a merchandiser is to acquire a variety of information mainly from external environment and to analyze it in order to come to an informed decision. Despite a significant amount of past studies on environment scanning, their main concern was of managerial work. And, some fashion design studies have only touched the issue of information source in a descriptive tone. Here, we attempt to analyze empirically fashion merchandisers' environmental scanning activities. Our results can be stated as follows : 1) Though the quality of information source has a positive relationship with its use, the accessibility does not. 2) There is no significant difference between the use of relational source and the use of non-relational source. 3) Internet is being used more at the initial stage(opening) of information seeking than at the orientation and consolidation stage.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.319-327
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• 2013

The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.3
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• pp.386-398
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• 2013

This study analyzes the effect of clothing involvement using meta-analysis. Metal-analysis (the analysis of analyses) is widely used in various academic areas to integrate individual empirical studies and generalize the knowledge of a specific research field. Previous studies regarding clothing involvement published since 1990 were researched from the KISS database using clothing involvement and fashion involvement as a keyword; subsequently, 127 articles were identified. Studies that had insufficient statistics or included clothing involvement as a moderating (or intervening variable) were eliminated; subsequently, 36 articles provided a total of 75 data sets that were used for the final analysis. Dependent variables were grouped into 10 categories to compare the differences between high and low involvement groups. The effect size of clothing involvement was large in non-personal information source; however, it was small in utility, brand royalty and quality. In the 7 categories of relational studies that showed homogeneity, the relation size regarding conformity was smaller than the personal information source.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.637-641
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• 2007

Airborne LIDAR (Light Detection and Ranging) technology has reached a degree of the required accuracy in mapping professions, and advanced LIDAR systems are becoming increasingly common in the various fields of application. LiDAR data constitute an excellent source of information for reconstructing the Earth's surface due to capability of rapid and dense 3D spatial data acquisition with high accuracy. However, organizing the LIDAR data and extracting information from the data are difficult tasks because LIDAR data are composed of randomly distributed point clouds and do not provide sufficient semantic information. The main reason for this difficulty in processing LIDAR data is that the data provide only irregularly spaced point coordinates without topological and relational information among the points. This study introduces an efficient and robust method for automatic extraction of building footprints using airborne LIDAR data. The proposed method separates ground and non-ground data based on the histogram analysis and then rearranges the building boundary points using convex hull algorithm to extract building footprints. The method was implemented to LIDAR data of the heavily built-up area. Experimental results showed the feasibility and efficiency of the proposed method for automatic producing building layers of the large scale digital maps and 3D building reconstruction.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.324-332
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• 2009

It a very important part to keep a good relationship with supporters to promote the activities smoothly in non-profit-making organizations. The donation, a financial source of non-profit-making organizations, and the volunteer activities of supporters are also born from the identity with the supportive organizations. This research is a study about the relationship sustainability with supporters and supportive organizations, which is practiced with the variables of image, service quality, ethics, activity, satisfaction, trust, and intent of sustaining their support of supportive organizations. This research aims at making the model of relationship-sustaining intent of supporters and supportive organizations on the bass of the relationship between the conceptual definition about supportive activities and the variables influencing the supportive activities, and at suggesting the marketing points of non-profit-making organizations on the base of the model. This is because the concept of service quality about non-profit-making organizations has not been formed yet, and so it does not influence the trust or the satisfaction. Other assumptions seemed to have some relationship. As a result, in order to increase the intent of sustaining support and the trust in organizations, they need to inform supporters of the image or the results of activities by means of active marketing activities.