• 간호행정학회지
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• 제15권1호
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• pp.5-15
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• 2009

Purpose: The purpose of this study was to evaluate the quality of service and appropriateness of information provided in gastric cancer web sites. Method: The study investigated the status of the web sites retrieved when the keyword "gastric cancer" was searched on seven(7) different Internet portal sites. Among the retrieved information sites, 51 domestic websites, available on June and July 2008, were selected. They were evaluated based on two criteria, quality of service (7 items) and appropriateness of the information (11 items) on a 4-point scale($0{\sim}3$). The analysis of data was done using SPSS 12.0 PC+ program for descriptive statistics and ANOVA tests. Results: Findings revealed that the quality of service provided by the web sites had an average of $1.61{\pm}.55$. The score of information appropriateness was $.79{\pm}.64$. Among the studied websites, only 4(7.8%) scored higher than 22, placing them in the top 30%. Conclusion: This study suggests that most sites do not provide diverse types of gastric cancer-related information and that reliability is important in developing web-based programs related to gastric cancer in order to effectively promote and disseminate health information to the general public.

• 산업공학
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• 제13권3호
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• pp.539-547
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• 2000

An architecture of a Web-based Decision Support system for mathematical analysis is presented. Front-end modules provide web-client GUI environment for mathematical analysis. The networking architecture is built upon client/server system by Java socket and accesses database by JDBC in WWW. Back-end modules provide decision supporting service and data management for mathematical programming analysis. In the back-end any analysis tools, such as mathematical optimizer, simulation package, or statistics package can be used. As an application example for this implementation, optimal facility replacement decision problem is selected. In the implementation the optimal facility replacement decision problem is formulated as a shortest path problem. It uses Oracle DB and CPLEX package as the mathematical optimizer. While ORAWeb is designed and implemented on the optimal facility replacement problem, it can easily be extended to any decision supporting problems that would require mathematical optimization process.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 춘계학술대회
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• pp.197-201
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• 2004

We describe a new edge detector based on the robust rank-order (RRO) test which is a useful alternative to Wilcoxon test, using $r{\times}r$ window for detecting edges of all possible orientations in noisy images. Some experiments of statistical edge detectors based on the Wilcoxon test and T test with our RRO detector are carried out on synthetic and real images corrupted by both Gaussian and impulse noise. We also implement these edge detectors using Java on the Web.

• Journal of Information Technology Applications and Management
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• 제13권1호
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• pp.1-16
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• 2006

This paper empirically analyzed consumer price search behavior using Web log data of a Korean web site for price comparison. Consumer click-stream data of the site was used to test the effects of price level, product category, third party certification, reputation of retailers on click behavior. According to the descriptive statistics, 67.4% of shopbot users clicked the offer which was the lowest price returned in a search. We found that third party certification and reputation of retailers were significant determinants of clicking the lowest priced offer from legit analysis. We also applied Tobit regression analysis to estimate the price premium of the two determinants, but only reputation of retailers was found to have price premium of 4.9%.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.905-908
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• 2010

본 연구의 목적은 웹 환경에서 스팸 블로그(Splog)를 자동으로 판별하는 시스템을 개발하는 것이다. 먼저 블로그의 HTML을 제거한 후 품사를 부착하였다. 어휘/품사 쌍을 자질로 사용하였으며 카이제곱 통계량을 이용하여 유용한 자질을 선택하였다. 선택된 자질의 가중치를 벡터로 표현한 후, 지지벡터 기계(Support Vector Machines)를 학습하여 자동으로 스팸 블로그를 판별하는 시스템을 제안하였으며, SPLOG 데이터 집합으로 실험한 결과 F1척도로 90.5%의 정확률을 얻었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.592-595
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• 2009

우리는 지지벡터기계를 이용하여 스팸 이메일을 자동으로 분류하는 시스템을 제안한다. 단어의 어휘 정보와 품사 태그 정보를 지지벡터기계의 자질로 사용한다. 우리는 카이 제곱 통계량을 이용하여 유용한 자질을 선택한 후 각각의 자질을 문서 빈도(TF)와 역문헌빈도(IDF) 값으로 표현하였다. 자질들을 이용하여 SVM을 학습한 후, SVM 분류기는 각각의 이메일의 스팸 유무를 결정한다. 실험 결과, 웹메일 시스템에서 수집한 이메일 데이터에 대해 약 82.7%의 정확률을 얻었다.

• 한국도서관정보학회지
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• 제45권4호
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• pp.45-65
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• 2014

이 연구에서는 국립중앙도서관이 구축 및 운영하는 웹 아카이브 OASIS 콘텐츠의 특성과 현황을 살펴보았다. 2013년 12월-2014년 11월 OASIS에 공개된 웹사이트 55,581건의 수량적 성장과 주제 분포, '최신 수집자료'의 아카이빙 현황 등을 검토하였다. 급격한 수량적 성장에도 불구하고, '사회과학'(63.6%)에 집중한 주제 편향성, '정치학'(34.7%. 2003년 전체의 21.4%)의 과도한 편중, '최신 수집자료'의 저작자 권위 및 학술적 가치의 근거 미약, 웹사이트와 인스턴스의 혼용에 따른 통계의 중복 및 부정확성 등 문제점이 다시 확인되었다. 양적 성장에 동반하지 않는 질적 수준 문제가 지속되며, 시급한 수집정책 개선과 품질제어가 필요한 것으로 나타났다.

• 대한간호학회지
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• 제34권3호
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• pp.485-494
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• 2004

Purpose: This study was aimed to develop a WBI(Web Based Instruction) program on safety for 3rd grade elementary school students and to test the effects of it. Method: The WBI program was developed using Macromedia flash MX, Adobe Illustrator 10.0 and Adobe Photoshop 7.0. The web site was http://www.safeschool.co.kr. The effect of it was tested from Mar 24, to Apr 30, 2003. The subjects were 144 students enrolled in the 3rd grade of an elementary school in Gyungju. The experimental group received the WBI program lessons while each control group received textbook-based lessons with visual presenters and maps, 3 times. Data was analyzed with descriptive statistics, and ${\chi}^2$test, t-test, and repeated measure ANOVA. Result: First, the WBI group reported a longer effect on knowledge and practice of accident prevention than the textbook-based lessons, indicating that the WBI is more effective. Second, the WBI group was better motivated to learn the accident prevention lessons, showing that the WBI is effective. As a result, the WBI group had total longer effects on knowledge, practice and motivation of accident prevention than the textbook-based instruction. Conclusion: We recommend that this WBI program be used in each class to provide more effective safety instruction in elementary schools.

• Radiation Oncology Journal
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• 제33권2호
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• pp.142-148
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• 2015

Purpose: To develop new on-line statistical program for the Korean Society for Radiation Oncology (KOSRO) to collect and extract medical data in radiation oncology more efficiently. Materials and Methods: The statistical program is a web-based program. The directory was placed in a sub-folder of the homepage of KOSRO and its web address is http://www.kosro.or.kr/asda. The operating systems server is Linux and the webserver is the Apache HTTP server. For database (DB) server, MySQL is adopted and dedicated scripting language is the PHP. Each ID and password are controlled independently and all screen pages for data input or analysis are made to be friendly to users. Scroll-down menu is actively used for the convenience of user and the consistence of data analysis. Results: Year of data is one of top categories and main topics include human resource, equipment, clinical statistics, specialized treatment and research achievement. Each topic or category has several subcategorized topics. Real-time on-line report of analysis is produced immediately after entering each data and the administrator is able to monitor status of data input of each hospital. Backup of data as spread sheets can be accessed by the administrator and be used for academic works by any members of the KOSRO. Conclusion: The new on-line statistical program was developed to collect data from nationwide departments of radiation oncology. Intuitive screen and consistent input structure are expected to promote entering data of member hospitals and annual statistics should be a cornerstone of advance in radiation oncology.

• 정보관리학회지
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• 제34권4호
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• pp.101-126
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• 2017

최근 문헌정보학의 관련 분야로 주목받고 있는 데이터과학은 오랫동안 문헌정보학에서 해오던 정보의 수집, 저장, 조직, 분석, 활용 등의 활동을 데이터에 적용하여 그 가치를 이해하려는 학문이며, 통계학과 컴퓨터공학 등 다른 학문분야와의 연계가 필요한 분야이다. 이러한 데이터과학 분야의 연구 영역을 파악하기 위하여 동시출현단어 분석을 사용하여 Web of Science 핵심컬렉션에 수록된 문헌들 중 데이터 과학 관련 자료들을 수집하고, 그 주제범주를 활용하여 네트워크분석을 실시하였다. 총 667건의 자료에 대한 159개의 주제범주를 기술분석하여 데이터과학 관련 연구가 많이 이루어지고 있는 학문분야를 조사하였고, 네트워크분석을 통해 데이터과학 분야 연구영역의 지적구조를 시각적으로 파악하였다. 분석결과, 데이터과학 분야의 연구들은 2개 영역 9개 군집으로 구분되었으며, 주제범주의 용어들 중 중심성이 높은 용어들을 통해 각 군집의 대표적인 주제들을 선정하였다. 연구의 결과는 데이터과학 분야의 연구들에 대한 지적구조를 파악하는데 도움이 될 수 있고, 문헌정보학과의 연계융합전공으로서의 데이터과학 교과과정 개발에 방향성을 제시할 수도 있을 것이다.