• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.1
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• pp.26-39
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• 2011

This paper reviews the strategy of activating spatial data community and its impacts, focusing on the Cooperative Agreements Program(CAP) of National Spatial Data Infrastructure(NSDI), established by Federal Geographic Data Committee(FGDC) in U.S. to facilitate cooperative data sharing. After thoroughly reviewing the 20 research categories followed by 350 cases, supported by CAP for the last decade, it turned out that since NSDI issued "Future Directions Initiative" in 2004, the CAP adopted all components of NSDI as CAP categories in attempting to reinforce the partnership rather than mainly deploying standardized meta-data. Also, CAP has been utilized as a means to enforce the role of NSDI as spatial data user and provider as well, recognizing that the spatial data community is essence for expandable and sustainable NSDI. Implementing CAP resulted in the sound structure of spatial data marketplaces increasing spatial data demand and promoting the relevant business due to diverse users.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.92-99
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• 2022

This study show the empirical results and the models that explain the content creator's personal brand value in the user-generated content platform. Producer's brand value performance could have enhancement and dilution by their activities for the long-term and repetitive change. Therefore, for the measure and analysis, the models have to catch the effect from producer's the diverse activities. This study would find the guideline by competitive analysis between (1) the impact of in-group user's self-motivated participation and (2) the impact of the social links from the outside platform. Based on the analysis results, producer's creation activity as focused on the specific and professional category increase their brand value for the long-term. However, producers would have to upload diverse category, after users are bored to their similar videos' as before. These empirical results would be a guidelines to the content management strategies for producers and the platform.

• Journal of Distribution Research
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• v.10 no.4
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• pp.1-22
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• 2005

The major objectives of this study are twofold. The first is to discover which in-store tactics influence store performance when a retailer implements category management in variety enhancer and fill-ins categories. The second is to analyze how and why specific in-store tactics achieve better or worse performance than other in-store tactics across categories. The data were collected using scanner data and direct observations in 'A' discount store which is one of the representative discount stores in Korea. The in-store tactics were measured by product assortment, temporary price discount, price and non-price promotion, and shelving. The store performance was measured by sales and gross margin return on inventory investmant(GMROI). Empirical results analyzed by multiple regression were as follows: In variety enhancer category, the significant factors affecting sales were product assortment, temporary price discount, price promotion, and shelving. Non-price promotion also influenced GMROI positively but product assortment impacted on GMROI negatively. In fill-ins category, the significant factors affecting sales and GMROI were product assortment and shelving. However, the other factors such as temporary price discount, price promotion, and non-price promotion had no significant influence on both sales and GMROI. This paper presents a number of theoretical and managerial implications of the empirical results and concludes by addressing limitations and future research directions.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2645-2647
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• 2003

E-Mail은 현재 가장 많이 쓰이고 있는 인터넷 서비스로서 최근 인터넷 사용자의 증가와 함께 그 사용자 또한 늘어나고 있다. 기존의 메일 기반 에이전트는 서버에 무분별하게 메일을 저장하는 방식이기 때문에, 첨부파일에 접근하기 위해서는 관리자가 수신된 메일을 일일이 확인해야 하는 번거로움을 가지고 있다. 대량의 메일을 수신하는 기업에서는 메일 뿐만 아니라 첨부되어오는 파일들에 대한 처리부담이 더욱 크다. 본 논문에서는 이를 보완하기 위해 도착한 메일의 내용을 분석하여 키워드를 추출하고, 폴더를 생성하여 카테고리별로 첨부된 파일을 분류해주는 자동분류 에이전트를 제안하고자 한다. 카테고리 별로 분류된 파일은 다시 형식별로 분류되도록 설계하였다. 이는 관리자의 업무부담을 줄이고, 첨부파일을 효과적으로 관리할 수 있는 장점이 있다.

• International Area Studies Review
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• v.13 no.3
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• pp.613-636
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• 2009

This paper examines the performance of assessing sponsors and non-sponsors recall and recognition at the 2008 Beijing Olympic Games perceived by Korean and Chinese university students. Using a sample of 1,573 respondents, a survey was administered in Seoul and Beijing before and after Games to compare the recall and recognition that changed between two periods. The findings reveal that the effectiveness of the 2008 Beijing Olympic sponsorship has was lower than we expected. Results were founded that while Samsung(mobile), Coca-cola, McDonald's, and Visa achieved the desired sponsorship marketing effectiveness in Korea. On the other hand, non-sponsors of Nike, Dell, AIG, Samsung(computer) and Hyundai led to obtain the benefit and resulted in increasing consumer confusion as to who is a sponsor. In China, Samsung, Coca-cola, Lenovo, Volkswagen, Visa, and PICC achieved the desired sponsorship marketing effectiveness. On the other hand, Lining, Nokia, KFC, China Merchants Bank had some impact on the effectiveness of a rival brand from an official sponsor's product category. The paper concludes by considering some issues for sponsorship marketers.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.67-73
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• 2010

The results of VE (Value Engineering) analyses are highly feasible proposals that are produced by utilizing the experience and knowledge of professionals from a variety of fields. As such, the results of past similar projects can be useful in new projects. On this basis, it is vital to accumulate the historical data of the results on VE analyses performed at every stage, which are functions, ideas, and proposals. In this research, a data formational system for collecting this historic data was established by categorizing 'Item,' 'Function,' 'Idea,' and 'Proposal' according to VE process, and the data retrieval and the adjusting process were proposed. If the historic data of these are accumulated using the suggested method, it is expected to be useful at the stage of VE process.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.57-65
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• 2019

In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

• Archives of design research
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• v.17 no.4
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• pp.259-268
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• 2004

Today is so-called brand war age. Brand equity has been a critical factor to evaluate the business value according to changes of competitive situation and consumer's choices under the 21 century market situation. Brand advertisement with character on TV commercial has long been common and effective ways for many years as useful methods of brand differentiation in the consumer mind. In this thesis, character's roles and possibilities are researched to enhance a brand awareness in marketing, and also the interrelation between the patterns of character and the involvement on TV commercials over several categories are analyzed through the grid model of FCB that is a advertising agency in U.S.A. The attitude of Character usage and technique are also examined by analyzing the materials and the expressive methods of characters in each category.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.843-852
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• 2001

Statistics concerning software errors indicate that more errors are introduced in analysis and design phase than implementation phase. Therefore, it is needed to check whether the design modeling is appropriate for own function and structure. This paper discussed the effective test method for the object-oriented design model, i.e., UML. A new method was proposed for generating test data. This method consists of category partition theory by the representation each element in UML model with OCL (Object Constraint Language). Test data generated in this way can be used for testing the source code functionality as well as for checking the design model.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.309.2-314
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• 1998

본 연구에서는 음성인식을 위한 화자적응화 기법에 대해 연구하였다. 첫째로 적응화에 포함되지 않은 카테고리 음절에 대해 적응화 효과를 줄 수 있는 보간적응화 방법에 대해 연구하였다. 표준모델과 소량의 음성 데이터만으로 적응화가 가능한 MAPE(최대사후확률추정)으로 적응화한 모델의 평균벡터 변화정도를 적응화 발화에 포함되지 않은 모델에 보간적응하는 방법이다. 둘째로 음절단위 모델을 구축한 후 적응화 하고자 하는 화자의 데이터를 연결학습법과 Viterbi 알고리즘으로 음절단위의 추출을 자동화 한 후 MAPE으로 적응화하는 방법에 대해 각각 실험을 하였다.