• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.201-227
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• 2014

The collaboration is becoming ever more widespread in scientific research. Unlike collaboration in other areas such as in a company, research collaboration has an unique feature that it is reflected by scholars' characteristics. Based on previous studies on research collaboration, five major factors are identified. We propose five hypotheses from them and examine these by using both in-person questionnaire survey and relational bibliometric analysis. The survey analysis informs individual choice factors and the bibliometric analysis informs collective consequence factors. The results of this study may have implications for science policies and digital collaboration services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.127-133
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• 2019

Since frequent item extraction so far requires searching for patterns and traversal for the FP-Tree, it is more likely to store the mining data in a tree and thus CPU time is required for its searching. In order to overcome these drawbacks, in this paper, we provide each item with its location identification of transaction data without relying on conditional FP-Tree and convert transaction data into 2-dimensional position information look-up table, resulting in the facilitation of time and spatial accessibility. We propose an algorithm that considers the mapping scheme between the location of items and items that guarantees the linear time complexity. Experimental results show that the proposed method can reduce many execution time and memory usage based on the data set obtained from the FIMI repository website.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1154-1164
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• 2010

As an useful application in broadcasting services, the targeting service has been mainly studied to improve the service satisfaction and user usage in various media service environments based on user profile, preferences, and usage history. Targeting service is expanding its domain from broadcasting contents to interstitial contents and from fixed TV devices to mobile devices. Service data also include advertisement data, coupon, and information about media contents as well as simple broadcasting data. In this paper, the targeting data service is designed and implemented on articles, advertisement and broadcasting information on the basis of the user information. To adapt this to web-based media contents, information on user profile, preferences, and usage history is newly defined on the basis of the user metadata developed in TV-Anytime Forum and the user information defined in OpenSocial. The targeting data service is implemented to generate user preferences information and usage history pattern based on the similarity among user preference, contents information, and usage history. Based on performance evaluation, we prove that the proposed targeting data service is effectively applicable to web-based media contents as well as broadcasting service.

• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.21-38
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• 2004

With its recent popularity, Web is now considered as a huge repository of information. Most documents on the web have been created using HTML(Hyper Text Markup Language). Even though HTML is simple and easy to learn, it has several features that are obstacles to the efficient information retrieval. XML(eXtensible Markup Language) can provide a solution to such problems and in fact, has already been used in many applications, XML is a standard markup language for exchanging data on the web. It can describe a document structure freely by defining its DTD, which enables efficient integration and retrieval of data on the web. In this paper, we propose a versatile and efficient XML document manager. Its features include (i) form-based XML editor that enables easy creation of new XML documents, (ii) automatic document converter that can transform HTML documents with similar structure into XML documents automatically, and (iii) GUI-based DTD editor.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.332-335
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• 2007

이메일은 누구나 쉽게 정보를 교환할 수 있는 편리함 때문에 인터넷에서 가장 중요한 수단으로 사용되고 있다. 그러나 순수한 의사소통의 수단이 아닌 스팸메일의 범람은 성인뿐만 아니라, 어린이 청소년에게도 무차별적으로 전송됨으로써 심각한 부작용을 낳고 있다. 본 논문은 점차 지능화 되는 신 유형의 음란 스팸메일로부터 청소년을 보호하기 위하여 새로운 방법의 음란메일 차단시스템을 제안하고자 한다. 기존의 스팸메일 차단시스템은 사용자가 직접 음란한 메일이라고 판단되는 메일에 대해 일일이 키워드를 설정하거나, 메일 내용 중에 텍스트만을 추출하여 패턴 매칭방법으로 분류하는 것이 대부분이었지만, 본 논문은 기존 방법의 문제점을 해결하기 위하여 이미지 내 Skin-Color분포의 Human Detection 알고리즘과 웹 로봇 에이전트의 하이퍼링크 분석기법을 사용하였다. 성능 측정결과, 형태소 분석과 Human Detection 알고리즘을 병합하여 적용한 경우 성능 측정에서 90% 정도의 F-measure를 보였지만, 추가적으로 웹 로봇 에이전트의 하이퍼링크 분석기법을 병합하여 적용한 경우 97% 이상의 F-measure를 보이며, 신뢰성이 높은 음란스팸메일 차단 시스템을 구현할 수 있다는 것을 증명하였다.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.300-307
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• 2010

According to growth of web, data processing technology is developing. In the Web of next generation, high-speed or high-volume data processing technologies for various wire-wireless users, USN and RFID are developing too. In this paper, we propose a high-volume data processing technology using Complex Event Processing(CEP) engine. CEP is the technology to process complex events. CEP Engine is the following characteristics. First it collects a high-volume event(data). Secondly it analyses events. Finally it lets event connect to new actions. In other words, CEP engine collects, analyses, filters high-volume events. Also it extracts events using pattern-matching for registered events and new events. As the results extracted. We use it by an input event of other work, real-time response for demanded event and can trigger to database for only valid data.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1095-1104
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• 2004

An electronic services which are based on Internet/Intranet business transactions are available to e-market places and get the broader business concepts. Component-based e-commerce technology is a recent trend towards resolving the e-commerce chanange at both system and ap-plication levels. The basic capabilities of component based systems should include the plug and play features at various granularities, interoper-ability across networks and mobility in various networking environments. E-business application developers are attempting to more towards web-service as a mechanism for developing component-based web-applications. Traditional process and development models are inadequately architectured to meet the rapidly evolving needs for the future of scalable web services. In this thesis, we focus specifically on the issues of e-business system architecture based on web service for establishing e-business system. We specifies and identifies design pattern for applying e-business domain in the context of multiple entities. We investigate prototype and frameworks to develope components for e-business application based suggested process. We present a worked example to demonstrate the behavior of Customer Authentication System(CAS) development with component and recommend process. Final]Y, we indicate and view on future directions in component-based development in the context of electronic business.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.49-60
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• 2010

H.264/AVC offers a better encoding efficiency than conventional video standards by adopting many new encoding techniques. However, the advanced coding techniques also add to the overall complexity for H.264/AVC encoder. Accordingly, it is necessary to perform optimization to alleviate the level of complexity for the video encoder. The amount of computation for motion estimation is of particular importance. In this paper, we propose a diamond web-grid search algorithm combined with efficient stationary block skip method which employs full diamond and dodecagon search patterns, and the variable thresholds are used for performing an effective skip of stationary blocks. The experimental results indicate that the proposed technique reduces the computations of the unsymmetrical-cross multi-hexagon-grid search algorithm by up to 12% while maintaining a similar PSNR performance.

• Korean Business Review
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• v.15
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• pp.79-97
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• 2002

In this study, an analytical CRM for customer segmentation is exercised by integrating and analyzing the customer profile data and the access data to a particular web site. We believe that effective customer segmentation will be possible with a basis of the understanding of customer characteristics as well as behavior on the web. One of the critical tasks in the web data-mining is concerned with both 'how to collect the data from the web in an efficient manner?' and 'how to integrate the data(mostly in a variety of types) effectively for the analysis?' This study proposes a panel approach as an efficient data collection method in the web. For the customer data analysis, OLAF and a tree-structured algorithm are applied in this study. The results of the analysis with both techniques are compared, confirming the previous work which the two techniques are inter-complementary.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.35-52
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• 2017

This paper aims to explore the citation patterns of conference papers in 'Information Science' discipline and to analze impacts of various cited works-related factors on future citations of conference papers. Existing bibliometric studies has investigated citation patterns and the statistical relations between a variety of bibliographic factors and the future citations of literature. However, the attentions have been focused largely on journal articles, and the bibliometric studies targeting conference papers are still in an infant stage. Therefore, this study, which is based on 1,904 conference papers in 'Information Science' field, examined several citation patterns and the contributions of the factors about cited works - the number of cited works, type of cited works, citation rates and ages of cited works at the time of being cited and the rate of self-citedness - to the future citation of the citing target articles. The data source of this study including the properties of target articles and cited works and citation rates of target articles was Scopus. As the results, 53% and 29% of the cited works were conference papers and journal articles, respectively. 14% of them are non-traditional types such as web pages, technical reports, patent, etc. More than 60% of the cited works were 5 years old or less. Among several factors considered in this paper, the number of conference papers and the number of non-traditional types of works are the most contributing factors on the citation rates of target articles. The recency of the cited works is also significant contributor on the citation rates of target articles. That is, the target articles citing more conference papers and non-traditonal types of works earned more citations. The target articles citing recent works also earned more citations.