• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.17-18
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• 2016

본 논문에서는 논문의 중요성 및 품질을 고려한 분야별 전문가 검색 기법을 제안한다. 논문의 중요성은 연구 분야의 희소성 및 최신 토픽을 고려하여 계산하며 논문의 품질은 연구 결과물의 인용수, IF, 최신성, 저자 관계를 고려하여 연구 결과물의 전문성을 계산한다.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.458-467
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• 2016

An expert search method using a large amount of academic data that can provide users with representative research results and advice is required. Since the existing expert search methods perform the expert search based on user profile or activity information, they have a problem that it is hard to discriminate the expert when we do not know the user profile or activity information. In this paper, we propose an academic expert search method using the importance and quality of a paper. The importance of a paper is computed by considering its scarcity and up-to-date topics. The quality of a paper is evaluated by considering the number of citations, IF of Journal, recency and author relations. To show the superiority of the proposed method, we compare it with the existing scheme through the performance evaluation in terms of recall and precision.

• Journal of KIISE
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• v.41 no.12
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• pp.1136-1144
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• 2014

Twitter is a social network service that generates about 140 million contents a day. Contents of Twitter contain a variety of information and many researchers research those in various fields. In this research, we propose a method for evaluating the importance of content based on characteristics of Twitter. We have found that number of follower means user's popularity and Re-tweet that means the popularity of content. We perform experiments about proposed method using real Twitter data for proving effectiveness of proposed method. Also, we found information providers in Twitter are public user who represent a company or a representative of a specific group.

• The Journal of the Korea Contents Association
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• v.4 no.1
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• pp.32-39
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• 2004

Results of the study are summarized as follows. Firstly, it has been analyzed that some differences exist to determine the criteria of materiality in capital market and industrial conditions in the environmental factors of economics, Secondly, it has been analyzed that some differences exist to determine the criteria of materiality in an incorporations history in the environmental factors of incorporation,, Thirdly, it has been analyzed that some differences exist to determine the criteria of materiality in economic planning and customs policy In the environmental factors of politics between internal auditors and external auditors.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2002.11a
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• pp.53-57
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• 2002

조명프로그램에 대하여 널리 알려진 지금, 조명프로그램의 올바른 사용법 및 적용데이터의 중요성에 대하여 알아보려 한다. 조명프로그램을 실행하기 위한 최소한의 데이터는 "등기구 배광곡선 데이터"와 "마감재표면 속성 데이터"이다. 이번 논문에서는 적용되는 조건의 변경으로 어떠한 결과의 차이가 발생되는지 알아보고, 정확한 조명데이터의 축적과 적용의 중요성을 알아보겠다. 축적과 적용의 중요성을 알아보겠다.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2002.10a
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• pp.175-177
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• 2002

고속도 전자계산기의 대두는, 종래에 응력해석이 거의 불가능하다고 생각되던 많은 문제들의 해결을 가능케 하였다. 그러나 많은 사람들이 착각하고 있드시 전자계산기가 모든 문제를 자동적으로 해결하는 것은 결코 아니다. 계산기의 성능이 발달할수록 더욱 더 어려운 문제의 해결이 가능해지는 것은 사실이나, 그렇게 되기 위해서는 사람의 머리에서 만들어 내야 하는 이론의 발달이 더욱 더 시급해지며 중요성을 띄게 되는 것이다. 즉 기계의 발달은 사람의 중요성을 더욱 절실하게 만드는 아이로니칼한 현상을 갖어 오게 된 것이다. 이러한 기계에 비한 사람의 중요성을 강조하기 위한 한 실예로서 본 논문에서는 방대한 크기를 가진 matrix equation을 푸는 한 방법을 다루기로 했다.(중략)

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.58-66
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• 2019

The purpose of this descriptive research was to investigate importance awareness on peripheral intravenous infusion, and to identify the factors influencing on importance awareness among 128 children's hospital nurses. The collected data were analyzed with descriptive statistics, T-test, ANOVA, Pearson's correlation analysis and Hierarchical multiple regression using SPSS 21.0. Importance awareness on peripheral intravenous infusion of children's hospital nurses was the lowest in education, and the highest in hand hygiene. There were significant differences in subdomains of peripheral intravenous infusion according to marriage state, working department, position and final education(p<.001~.046), and there were positive correlations between education and importance awareness of peripheral intravenous infusion(p<.001). And factors affecting importance awareness were education(${\beta}=.446$) and working department(${\beta}=.247$), and explannation rate was 31.0%(p<.001). These results could be used as basic data of educational program on peripheral intravenous infusion for children's hospital nurses after repeated study.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.283-295
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• 2022

This study attempts to explore factors that influence the perception of importance of information security. Three possible exogenous variables including perceived certainty of punishment, perceived response cost, and acquiescense are suggested that are based on the protectiom motivation theory. As a result, we found followings. First, The perceived punishment certainty has a significant effect on the perceived importance of information security. Also, it influences a negative effect on acquiescence. Second, the response cost has a negative effect on the perceived importance of information security. In addition, the response cost positively effects on acquiescence. Finally, acquiescence negatively influences on the perceived importance of information security. The results show that, in order to increase the perceived importance of information security among employees, it is necessary to make them aware that a security violation can result in certain punishment. At the same time, organizations should also attempt to remove major obstacles accompanying security behaviors of employees. Finally, organizations encourage open communication relating to information security among employees.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3777-3784
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• 2011

This paper examines into the influence of the public servants' perception of tourism industry on their understanding of importance of the tourism industry. For a study, the positive analysis was carried out which the public servants' perception of tourism industry was different in accordance with the satisfaction of tourism policy. The result of the analysis showed that the benevolent influence of the public servants' perception of tourism industry had a significant effect on the satisfaction of tourism policy and the cost of tourist influence had no significance of itself. It has been shown that both the influence of the public servants' perception of tourism effect on their understanding of importance of the tourism industry and that of the benevolence of the tourist influence on the understanding for the importance of tourism industry showed had plus(+) effects. Especially, it has been shown that the influence of the cost of tourist effect on the understanding for the importance of tourism industry had a minus(-) effect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4183-4191
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• 2011

Considering the characteristics of a data stream whose data elements are continuously generated and may change over time, there have been many techniques to differentiate the importance of data elements in a data stream by their generation time. The conventional techniques are efficient to get an analysis result focusing on the recent information in a data stream, but they have a limitation to differentiate the importance of information in various ways more flexible. An information differentiation technique based on the term of a fuzzy set can be an alternative way to compensate the limitation. A term of a fuzzy set has been widely used in various data mining fields, which can overcome the sharp boundary problem and give an analysis result reflecting the requirements in real world applications more. In this paper, a fuzzy window mechanism is proposed, which is adapting a term of a fuzzy set and is efficiently used to differentiate the importance of information in mining data streams. Basic concepts including fuzzy calendars are described first, and subsequently details on data stream mining of weighted patterns using a fuzzy window technique are described.