• Journal of Information Technology Applications and Management
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• 제15권4호
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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.

• 농촌계획
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• 제19권4호
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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.

• 한국의류학회지
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• 제37권3호
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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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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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.

• 한국콘텐츠학회논문지
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• 제9권8호
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• pp.324-332
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• 2009

비영리 기관에 있어서 기관의 활동을 원활하게 수행하기 위해서 후원자와의 관계지속이 매우 중요한 부분이다. 비영리 기관의 재정원천인 후원금과 후원자의 자발적인 봉사는 후원 기관과의 지속적인 관계유지에 의해서 이루어진다고 할 수 있다. 그러나 우리나라 비영리기관들은 이러한 중요성에도 불구하고 후원자에 대한 체계적인 관리는 상대적으로 미흡했던 것이 현실이다. 본 연구는 후원자와 후원기관에 대한 관계지속성에 대한 연구로서 후원기관의 이미지, 서비스 품질, 윤리, 활동성과, 만족도, 기관신뢰와 후원지속의도를 변수로 해서 연구를 진행하고자 한다. 후원행위에 대한 개념적 정의와 후원행위에 영향을 주는 변수들간에 관계성을 기초로 후원자와 후원기관의 관계지속의도 모형을 도출해 보고 그 모형을 바탕으로 비영리기관의 마케팅 시사점을 제시하고자 한다. 서울시내 복지기관을 후원하고 있는 236명을 대상으로 8개의 가설을 검증한 결과 후원기관의 서비스품질과 기관신뢰도 관계, 서비스품질과 만족도 관계, 활동성과와 서비스품질에 영향을 주지 않는 것으로 나타나고 있고, 이는 비영리기관에 대한 서비스품질에 대한 개념이 아직 형성되지 않아 신뢰나 만족도에 영향을 주지 않는 것으로 볼 수 있다. 기타 가설은 관계성이 있는 것으로 나타났다. 따라서 후원지속의도 및 기관신뢰를 높이기 위해서는 적극적인 마케팅활동을 통해서 이미지나 활동성과를 후원자들에게 알릴 필요가 있다.