• Journal of the Korean Society of Safety
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• v.28 no.4
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• pp.97-102
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• 2013

This paper presents a new strengthening method of underground box structures against seismic loads for anti-seismic capacity improvement. A threaded steel member with pressure devices(so called 'I-bracing pressure system') is used to improve seismic capacity of the RC box structure. The I-bracing pressure system is fixed the corner of opening after chemical anchor was installed by drilling hole on the box structure. The structural performance was evaluated analytically. Two bracing types of strengthening methods were used; conventional bracing method and improved I-bracing pressure system. For the performance evaluation, seismic analyses were performed on moment and shear resisting structures with and without I-bracing pressure system. Numerical results confirmed that the proposed I-bracing pressure system can enhance the seismic capacity of the underground RC box structures.

• Phonetics and Speech Sciences
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• v.4 no.1
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• pp.77-87
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• 2012

Interest in music recognition has been growing dramatically after NHN and Daum released their mobile applications for music recognition in 2010. Methods in music recognition based on audio analysis fall into two categories: music recognition using audio fingerprint and Query-by-Singing/Humming (QBSH). While music recognition using audio fingerprint receives music as its input, QBSH involves taking a user-hummed melody. In this paper, research trends are described for music recognition using audio fingerprint, focusing on two methods: one based on fingerprint generation using energy difference between consecutive bands and the other based on hash key generation between peak points. Details presented in the representative papers of each method are introduced.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.633-640
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• 2012

Biological methods are described for the assay of certain substances and preparations whose potency cannot be adequately assured by chemical or physical analysis. The principle applied through these assays is of a comparison with a standard preparation to determine how much of the examined substance produces the same biological effects as a given quantity (the Unit) of the standard preparation. In these dilution assays, to estimate the relative potencies of the unknown preparations to the standard preparations, it is necessary to compare dose-response relationships of standard and unknown preparations. The dose-response relationship in the dilution assay is non-linear and sigmoid when a wide range of doses is applied. The parallel line model (applied to the dose region with the steepest slope) is used to estimate the relative potency. In this paper, the statistical theory in the parallel line model is explained with an application to a dilution assay data. The parallel line method is implemented in a SAS program and is available at the author's homepage(http://cafe.daum.net/go.analysis).

• Journal of Information Management
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• v.38 no.1
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• pp.1-19
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• 2007

This study investigates the effect of data fusion on the retrieval effectiveness by performing an experiment combining multiple representations of Web documents. The types of document representation combined in the study include content terms, links, anchor text, and URL. The experimental results showed that the data fusion technique combining document representation methods in Web environment did not bring any significant improvement in retrieval effectiveness.

• Journal of the Korean Home Economics Association
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• v.41 no.4
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• pp.21-33
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• 2003

The purpose of this study was to give early childhood educators information for differentiating internet information services related to early childhood education, and for making more positive educational effect with web information services. The main questions were there were and differences in the levels of information characteristics and the information contents according to the categories of those sites. The subjects were 47 internet sites frequently used by teachers and trained assistants rated them with rating scale. One way ANOVA and t-test were used for data analysis. The results showed that the levels of information characteristics dimensions had differences among the categories of sites. In addition to that the content quality of Portal sites were higher than those of other categories for children users, those of Portal sites and Daum Cafes were higher than corresponding quality of other sites for teachers.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.35-46
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• 2003

This study focuses on the effect of Social Scaffolding of virtual community on its growth and thrift. The research model proposed in this study is that communities, which have goof social scaffolding, tend to grow and thrive. Social Scaffolding refers to those aspects of a site Purpose, Places, Profiles, leaders, Roles, Rules, Cyclic Events, integrating with the real world, and Subgroups. The data were collected from 100 virtual communities in Daum Communications and analyzed in this study. Multiple regression is used to analyze the relationship of variables. The result is following ; purpose, loaders, rules, integrating with the real world support the effects of social scaffolding of virtual community on its growth and thrift, but profiles, roles, cyclic events do not. The result of this study implies the importance of social scaffolding of virtual community for re-searches, and developers.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.170-175
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• 2009

본 논문은 한국어 관용구 인식 알고리즘에 대하여 논의한다. 다음(daum) 전자 사전에는 관용구의 의미를, "두 개 이상의 단어로 이루어져 있으면서, 그 단어들의 의미만으로는 전체 의미를 알 수 없는, 특수한 의미를 나타내는 어구" 라고 설명되어 있다. 한국어 관용구의 길이는 2글자 ~ 4글자인 경우가 많으며 그 이상인 경우도 있다. 대부분의 관용구는 일반 사전에 동사와 명사를 기준으로 분류되어 있으며, 품사 표시나 구절 표시 없이 어절의 문자열 형태로만 표현되어 나타난다. 본 논문에서는 전자 사전에 품사 표시나 구절 표시 없이 어절 문자열 형태로 저장되어 있는 한국어 관용구를 입력 문장에서 인식하는 관용구 인식 알고리즘에 대하여 논의한다. 그리고 연어 인식과 명사의 의미 속성 처리에 대하여서도 논의한다.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.111-125
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• 2013

This study investigates how enjoyment (or playfulness) affects user acceptance of hedonic-oriented (or pleasure) information technology based on the technology acceptance model (TAM). A research model was made to examine the effect of enjoyment on the user acceptance of hedonic information technology. 186 responses were collected from university students who had experiences on Daum's Digital View which is a well-known example of digital signage technology. The result of the statistical analysis reveals that enjoyment also had a strong effect on the acceptance of hedonic information technology, in addition to perceived usefulness and perceived ease of use. However, perceived usefulness is reported to most strongly influence the adoption of Digital View. The effect of enjoyment on intention to use was also significant, but enjoyment shows a much low degree of influence than perceived usefulness on intention to use.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.171-174
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• 2016

2016년 CES(Consumer Electronic Show)의 가장 큰 이슈는 드론과 VR이었다. 드론을 사용한 다양한 산업 기술의 발전과 VR을 사용한 새로운 시각효과는 사람들에게 많은 관심을 불러일으켰다. 드론과 VR의 영상기술의 발전과 발맞추어 액션 카메라와 360도 카메라의 기술도 발달하고 있다. 본 논문에서는 Drone과 360도 카메라, VR을 사용한 드론뷰 콘텐츠를 설계한다. 드론뷰 콘텐츠란 드론을 사용하여 로드뷰를 촬영하는 것을 의미한다. 드론뷰 콘텐츠를 활용한 시스템은 사용자가 지도상에서 찾고자 하는 지점의 좌표나 주소를 입력하면 모바일과 VR을 통해 해당 위치의 영상정보를 보여줄 수 있다. 또한 본 논문에서는 naver, daum, google에서 제공하는 기존의 국내 로드뷰 서비스와는 차별화된 해당 콘텐츠의 특징에 대해 기술하였다. 마지막으로 해당 시스템의 구현방법에 대해 설명하며, 시스템의 차후 확장성에 대해 연구하였다.

• ETRI Journal
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• v.33 no.5
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• pp.720-730
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• 2011

Opinion mining involves the analysis of customer opinions using product reviews and provides meaningful information including the polarity of the opinions. In opinion mining, feature extraction is important since the customers do not normally express their product opinions holistically but separately according to its individual features. However, previous research on feature-based opinion mining has not had good results due to drawbacks, such as selecting a feature considering only syntactical grammar information or treating features with similar meanings as different. To solve these problems, this paper proposes an enhanced feature extraction and refinement method called FEROM that effectively extracts correct features from review data by exploiting both grammatical properties and semantic characteristics of feature words and refines the features by recognizing and merging similar ones. A series of experiments performed on actual online review data demonstrated that FEROM is highly effective at extracting and refining features for analyzing customer review data and eventually contributes to accurate and functional opinion mining.