• Journal of the Institute of Convergence Signal Processing
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• v.16 no.2
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• pp.44-49
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• 2015

When the scene has less texture or when camera pose largely changes, the existing texture-based feature tracking methods are not reliable. Topology-based feature description methods, which use the geometric relationship between features such as LLAH, is a good alternative. However, they require feature detection methods with high performance. As a basic study on developing an effective feature detection method for topology-based feature description, this paper aims at examining their applicability to topology-based feature description by analyzing the repeatability of several feature detection methods that are included in the OpenCV library. Experimental results show that FAST outperforms the others.

• Journal of Information Management
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• v.26 no.3
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• pp.32-53
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• 1995

A system of networked digital libraries will be a primary component of information infra-structure. The general strategy for digital libraries by the American university libraries is summarized as building of information infrastructure, content database construction, and project-based design. This paper describes the present feature and status of digital libray programs being implemented by the libraries of Michigan University, Carnegie Mellon University and Virginia PolyTech & State University.

• Journal of the Korean Society for Library and Information Science
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• v.27
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• pp.161-181
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• 1994

As information technologies are applied to the libraries in information society, the library services have been changing its feature. Therefore, the purpose of this paper is to explore and to establish a paradigm of the library services in information society. It is hypothesized that the application of information technologies leads to the change of the library services in information society. To prove the hypothesis, the data were collected from various research results carried out in the developed countries and by observing various libraries where the information technologies are extensively applied. The findings are as follows: 1. As information technologies are applied to the library, many new library services emerge for the society. 2. As the electronic data replace the paper data, the collection of a library becomes the collection of the libraries in the world. Therefore, the accessibility to the information network is more important than to own information in the library. Librarians select various electronic data according to the library policy which distinguishes their own library collection from others. The policy also solves the various problems related to weeding and preserving library collection. And the use of CD-ROM selection tools enable library users to select their own data. Now, the censorship becomes the concems of the library users, not the library. 3. The catalogs are reorganized for the electronic data for the international use. The most important information in the catalog is the location of the data and the multi access to the data are necessary. 4. As the information technologies are applied in book selection, cataloguing, information retreival and circulation, the library users are enable to service themselves in the library. And most of the routine works related to the information service are taken over by the library staffs. Professional librarians engage in user education, information marketing and fund raising. 5. Public libraries in information society serves those who have no access to the information. They help the illiterates. patients in the hospital, prisoners, and homeless in the city. Therefore, the information technologies enhance the role of librarians in professional work in the library as well as in the information society.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.105-115
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• 1998

In this paper, we propose a document clustering and retrieval tool which allows users to manage their emotion based document access. This system name is ECRAS(Emotion based Clustering and Retrieval Agent System). Our system extract S emotion feature which like HAPPY, SAD, ANGRY, FEAR, DISGUST from various document. And, our system have retrieve documents for user query base on emotion feature.

• Journal of Korean Library and Information Science Society
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• v.32 no.3
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• pp.307-330
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• 2001

This study experimented the performance of categorization methods using the kNN classifier. Most sample based automatic text categorization techniques like the kNN classifier reduces the feature set of the training documents. We sought to find out which percentage reductions in the feature set would result in high performances. In addition, the kNN classifier has to find the k number of training documents most similar to the test documents in the training documents. We sought to verify the most appropriate k value through experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.193-198
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• 2023

We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.1
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• pp.45-58
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• 2005

This Paper is a comparative study of feature selection methods for Korean web documents clustering. First, we focused on how the term feature and the co-link of web documents affect clustering performance. We clustered web documents by native term feature, co-link and both, and compared the output results with the originally allocated category. And we selected term features for each category using $X^2$, Information Gain (IG), and Mutual Information (MI) from training documents, and applied these features to other experimental documents. In addition we suggested a new method named Max Feature Selection, which selects terms that have the maximum count for a category in each experimental document, and applied $X^2$ (or MI or IG) values to each term instead of term frequency of documents, and clustered them. In the results, $X^2$ shows a better performance than IG or MI, but the difference appears to be slight. But when we applied the Max Feature Selection Method, the clustering Performance improved notably. Max Feature Selection is a simple but effective means of feature space reduction and shows powerful performance for Korean web document clustering.

• Journal of Korean Library and Information Science Society
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• v.29
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• pp.27-63
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• 1998

The purpose of this study is to analyze the document delivery service(DDS) of the academic libraries and suggest its improvement model in Korea. DDS means providing copies of information requests in any format and from any source. And DDS is gaining in importance as libraries turn to 'just-in-time' access rather than 'just-in-case' collection to meet user information needs. By good fortune, rising journal subscription prices, declining financial resources, canceling some of journal subscriptions, electronic transmission technologies, and the rise of commercial document delivery services have allowed libraries to begin to deliver articles to users in a much more rapid and acceptable time frame. Therefore, the library paradigm for the 2000s must be the creation of new document delivery structures which capitalize on the access tolls and structures created by librarians during the past generations. First of all, library-based document service requires a close review of existing library-to-library delivery mechanisms, application of technology to transfer of facsimiles of materials and facilitated use of existing fee-based document sources. The ideal document delivery system would feature a transparent, seamless electronic service incorporating searching and browsing identification and marking of desired items, and transmission and fulfillment of requests. And requested items would be supplied from library collection, commercial suppliers, or other sources. But the future of DDS will succeed when physical resources, policies, personnel, and practices are organized to provide timely information delivery to users.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.79-100
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• 2012

The Chinese Library Classification(CLC) is the most widely used national standard classification system in China. Since the first edition of CLC in 1975, the 5th edition of CLC was published in 2010. It was the result of an average of 9 years of revision for each edition. This study investigated CLC focusing on the formational background and developmental process of CLC, and characteristics and revision details of CLC's 5th edition. Because Korea has been close cultural relationship with China for a long time, this study will provide implications on Korean Decimal Classification(KDC) development.

• Journal of Korean Library and Information Science Society
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• v.22
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• pp.95-137
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• 1995

Christianity Newspapers related to Korea was started from 'The Christian Advocate' launched in 1897 by A ppenzeller, H.G, American. From here, through the division of the newspaper related to Korean Christianity, the periodic background of the time, contents of the newspaper published and the bibliographic feature are as follows. 1. The time of Introduction (1885-1910) 2. The time of Establishment (1911-1934) 3. The time of sufferings (1935-1945) 4. The time of upheaval (1946-1960) 5. The time of preparation