• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.305-312
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• 2008

Web documents with useful information are widely available on the internet and they are accessible with web search service. For this reason, web search services study better ways to collect more web documents, but have a difficulty figuring out the coverage of these web pages. This paper is intended to find ways to evaluate the current coverage assessment methods and suggest more effective coverage assessment technique that is, sampling internet web documents equally, monitoring how they are classified on web search services, in an attempt to assess both absolute and relative coverage of the web search engines. The paper also presents the comparison among Korean web search services using the suggested methods.the absolute and relative coverage was highest in Google followed by Naver and Empas. The result is expected to help estimating coverage of web search services.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.256-258
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• 2012

최근 LED를 이용한 IT 기술이 많은 관심을 받고 있으며, 특히 무인시설물에서는 효율적으로 LED를 관리해야하기 때문에 통신 및 조명 제어기술에 대한 연구가 활발히 진행 중에 있다. 그러나 LED 특성상 FOI(Filed of Illumination)의 제약이 따르기 때문에 서비스의 범위와 커버리지가 제한적이라는 한계를 가지며, LED 제어의 경우 최근 스마트단말을 이용한 기술이 많이 보급되고 있으나 수많은 스마트단말의 OS 플랫폼에 종속적으로 프로그램을해야만 하는 번거로움이 있기 때문에 개발 비용적인 측면에서도 매우 비효율적이다. 따라서 본 논문에서는 LED 기반 IT기술의 서비스 이용범위를 유연하게 넓힐 수 있는 LED 지향각의 원격제어 기술을 제안하고, 단말환경에 독립적으로 효과적인 LED제어를 가능하게 하는 차세대 웹표준인 HTML5(Hypertext Mark-up Language 5)기반의 시스템을 제안하였으며, 제안 기술의 핵심 프로그램을 제시하고 시뮬레이션을 수행함으로써 유용성을 입증하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.2
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• pp.17-24
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• 2014

This paper proposes an automatic extraction method of control point based on Geospatial Web Service. The proposed method consists of 3 steps. 1) The first step is to acquires reference data using the Geospatial Web Service. 2) The second step is to finds candidate control points in reference data and the target image by SURF algorithm. 3) By using RANSAC algorithm, the final step is to filters the correct matching points of candidate control points as final control points. By using the Geospatial Web Service, the proposed method increases operation convenience, and has the more extensible because of following the OGC Standard. The proposed method has been tested for SPOT-1, SPOT-5, IKONOS satellite images and has been used military standard data as reference data. The proposed method yielded a uniform accuracy under RMSE 5 pixel. The experimental results proved the capabilities of continuous improvement in accuracy depending on the resolution of target image, and showed the full potential of the proposed method for military purpose.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.1
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• pp.215-234
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• 2009

This study aims to perform an evaluation of directory services provided by major Korean search portals: Naver, Daum, Yahoo-Korea, and Empas. A directory service of Open Directory is also compared. These directory services are evaluated in terms of the coverage, category creation criteria, site selection criteria, breadth and depth of hierarchy, clarity and currency of category names, order of category listing, and overall classification system. The results of this study can be implemented for the development and improvement of portal's directory services. Users can refer to the results of this study in choosing directory services from search portals.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.7
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• pp.789-798
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• 2016

In this paper, we propose a cache algorithm based on user's context for enterprise/urban smallcell environments. The smallcell caching method is to store mobile users' data traffic at a storage which is equipped in smallcell base station and it has an effect of reducing core networks traffic volume. In our algorithm, contrary to existing smallcell cache algorithms, the cache storage is equipped in a edge server by using a concept of the Mobile Edge Computing. In order to reflect user's characteristics, the edge server classifies users into several groups based on user's context. Also the edge server changes the storage size and the cache replacement frequency of each group to improve the cache efficiency. As the result of performance evaluation, the proposed algorithm can improve the cache hit ratio by about 11% and cache efficiency by about 5.5% compared to the existing cache algorithm.