• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.273-274
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• 2020

본 시스템은 도서관 이용을 목적으로 만들었다. 초.중.고등학교에서 사용 가능하며 학생의 경우 대출, 반납, 도서연장, 희망도서 등록 등을 바코드를 이용하여 안전하고 편리하게 사용 할 수 있다. 앱을 통해 대출한 도서의 대출기간 확인과 대출 기간 연장 기능을 추가하여 연체로 인한 문제를 감소하도록 하였다. 학교 측에서 도서 후기 작성으로 독후감 대회를 주최할 수 있고 학생들이 어떠한 도서를 희망하는지 알 수 있다. 이런 다양한 활동을 컴퓨터뿐만 아니라 앱을 통해 스마트폰에서도 사용가능하도록 하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.255-274
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• 2019

In this study, we analyzed Circulation data of Law library in the S university for one year in 2018 and analyzed whether the Library holdings are actually used for education and research. First of all, this study analyzed user patterns by analyzing subjects, languages, and publication years for books that were circulated for one year from the ALMA system which is an S university library system. In addition, we analyzed how the current library holdings were used or cited in course syllabi and research papers written by members in S university. The results from this study can be used as an important basic data for effective collection development.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.233-236
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• 2013

현대사회가 언제 어디서나 정보를 주고 받는 유비쿼터스 사회로 변화하면서 센싱기술, 통신기술, 서비스 기술 등을 이용하여 우리가 볼 수 있는 모든 사물을 사람과 통신 가능하게 해주는 IoT기술이 부각되고 있다. IoT는 일반적으로 사람의 관여 없이 사물 간에 이루어지는 통신을 뜻하는 것으로 국내에선 개념적으로 USN기술과 흡사하다. 본 논문에서는 USN 분야 중 하나인 모바일 RFID 기술을 이용한 도서 대출 시스템을 제안하고 무선으로 정보를 주고 받는 모바일 RFID의 특성을 고려하여 태그와 리더 간의 인증 프로토콜을 제시한다.

• Journal of Information Management
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• v.31 no.2
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• pp.11-30
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• 2000

KINITI developed integrated client/server-based library automation system. This system is a part of project which is implementation of national industry & technology information distribution system. This paper describes history and characteristics of KINITI's library automation system. And It reviews briefly several functions and characteristics of sub-systems which consist of new integrated library automation system.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• Journal of Information Management
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• v.33 no.1
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• pp.1-17
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• 2002

This study examined several recommendation techniques to construct an effective book recommender system in a library. Experiments revealed that a hybrid recommendation technique is more effective than either collaborative filtering or content-based filtering technique in recommending books to be borrowed in an academic library setting. The recommendation technique based on association rule turned out the lowest in performance.

• Journal of Information Management
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• v.23 no.3
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• pp.74-94
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• 1992

This paper describes the organization and the file structure of KINITI-LIS that is the Library Information System developed by KINITI. KINIT-LIS consists of five subsystems that are aquisition system, cataloging system, retrieval system, circulation system and serials control system, and the primary structure of underlying files is VSAM.

• Journal of Information Management
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• v.23 no.2
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• pp.73-89
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• 1992

KINITI collects a wide variety of information resources such as serials, monographs, reports, microfilms/fiches etc. in the field of science, technology, and industry. This is an overview of KINITI-LIS(Library Information System). KINITI-LIS has been developed using IBM 3090/150 E by KINITI staffs. Subsystems of KINITI-LIS are as follows ; acquisition system, cataloging system, retrieval system, circulation system, serials control system.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.113-127
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• 2021

The purpose of this study is to propose a personalized book recommendation system to promote the use of university libraries. In particular, unlike many recommended services that are based on existing users' preferences, this study proposes a method that derive evaluation metrics using individual users' book rental history and tendencies, which can be an effective alternative when users' preferences are not available. This study suggests models using two matrix decomposition methods: Singular Value Decomposition(SVD) and Stochastic Gradient Descent(SGD) that recommend books to users in a way that yields an expected preference score for books that have not yet been read by them. In addition, the model was implemented using a user-based collaborative filtering algorithm by referring to book rental history of other users that have high similarities with the target user. Finally, user evaluation was conducted for the three models using the derived evaluation metrics. Each of the three models recommended five books to users who can either accept or reject the recommendations as the way to evaluate the models.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.45-68
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• 2023

The purpose of this study is to longitudinally analyze impact factors on library use. One of library use indicators, the number of circulated books was statistically analyzed with latent growth model and growth mixture model. Library data from 2014 to 2019 were collected from the National Library Statistics System, and 846 public libraries were analyzed. As results, the number of circulated books were decreased, but it was tempered. Next, with controlling the factor affecting the dependent variable, the size of collection and the number of participants in reading programs provided by public libraries were statistically significant. Lastly, 5 classes were identified by applying the growth mixture model, and the number of librarians was significantly associated with trajectory class membership.