• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.5-26
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• 2024

The school library work support system was newly developed as 2024 Doksero DLS, but the DLS-compliant cataloging rules have not changed significantly since it was initially developed, and the current developed cataloging guidelines in 2020 also need to be updated. This study is to propose the considerations for developing guidelines for applying the DLS cataloging rules based on KCR4 by comparing the existing DLS (Ver. 2.0) cataloging rules, the 2024 DLS cataloging rules, and the 2020 bibliographic registration guidelines (Ver. 2.2). On this basis, considerations were suggested in terms of changing and expanding data elements, revising content rules for cataloging, method for recording access point, and developing controlled vocabularies. This study will allow to implement revision of DLS cataloging rules, development of guidelines, and system improvements.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.08a
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• pp.169-174
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• 2002

한국목록규칙 제4판 초안의 제1부 기술 중 제1장 기술총칙에 대한 각 조문을 AACR2R(1998), NCR(1996), ISBD(G)(1992)와 비교하여 보완과 수정이 되는 부분을 제시하고자 하였다.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.155-176
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• 2015

This study was for suggesting the test methods in the revision process of the cataloging rules to understand the problem of draft cataloging rules and to apply the new cataloging rules correctly in libraries instead of collecting the opinions by the traditional seminar and conference in the process of revising KCR, KCR2, KCR3, KCR4. For this study, the literature review and the case study were used as the research methods. The case study was based on the US RDA Test by US RDA Test Coordinating Committee. The evaluation areas of the test were cataloging rules, record creation and system development by reflecting the new cataloging rules, user, and cost. The data for the analysis was the creation of bibliographic records and authority records by librarians, and the question investigations that were the use of institutions, librarians, and users. This study would contribute to revise the cataloging rules in future by analyzing the errors of applying new rules to bibliographic record and by investigating the difficulties of applying rules in completing the bibliographic record. Also, the libraries could be easy to decide to implement the new rules from the creation time of bibliographic record by new rules and the learning curve of new rules.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.94-101
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• 1997

한국어의 언어분석을 위한 가공코퍼스의 하나인 품사부착 코퍼스는 형태소 언어분석의 기초가 되는 자료로서 각종 언어분석 모델의 학습자료와 관측자료 또는 검증자료로서 중요한 역할을 한다. 품사부착 코퍼스의 구축은 많은 노력과 시간이 요구되는 어려운 작업이다. 기존의 구축방법은 자동 태거의 결과를 일일이 사람이 확인해 가면 오류를 발견하고 수정하는 단순 작업이었다. 이러한 단순 작업은 한번 수정된 자동태거의 반복적 오류, 미등록어에 의한 오류 들을 계속적으로 수정해야하는 비효율성을 내포하고 있었다. 본 논문에서는 HMM기반의 자동 태거를 사용하여 1차적으로 한국어 문서를 자동 태깅한다. 자동 태깅 결과로부터 규칙기반의 오류 수정을 추가적으로 행한다. 이렇게 구축된 결과를 사용자에게 제시하여 최종 오류를 수정하고 이를 앞으로의 태깅작업에 반영하는 품사부착 워크벤치에 대해 기술한다.

• Journal of the Institute of Convergence Signal Processing
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• v.4 no.4
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• pp.52-57
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• 2003

A PID parameter tuning method was presented by the fuzzy singleton inference, based on step response-shaping of plant and experience knowledge of expert. The parameter-tuning has tow levels. The higher level determines modified coefficients for the controller based on operator's tuning know-how for characteristics of plant which can not be modeled. The lower level determines specified coefficients based on characteristics of response by Ziegler-Nickel's bounded sensitivity method. The last level parameters tuning of a PID controller is adjusted which the modified and specified coefficients makes adjustment rule, and is adjusted the proper value to each parameters by fuzzy singleton inference. Moreover, proposed the tuning method can reflex exporter knowledge and operator's tuning know-how and fuzzy singleton inference is rapidly operated.

• Transactions of Materials Processing
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• v.13 no.1
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• pp.15-20
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• 2004

In order to evaluate spring-back behavior in automotive sheet forming processes, a panel shape idealized as a double S-rail has been investigated. After spring-back has been predicted for double S-rails using the finite element analysis, results has been compared with experimental measurements for three automotive sheets. To account for hardening behavior such as the Bauschinger and transient effects in addition to anisotropic behavior, the combined isotropic-kinematic hardening law based on the Chaboche type model and a recently developed non-quadratic anisotropic yield function have been utilized, respectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.1
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• pp.13-22
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• 1991

In this paper we designed 2 bit ECC(Error Checking and Correction) circuit using Single Layer Perceptron type neural networks. We used (11, 6) block codes having 6 data bits and 8 check bits with appling cyclic hamming codes. All of the circuits are layouted by CMOs 2um double metal design rules. In the result of circuit simulation, 2 bit ECC circuit operates at 67MHz of input frequency.

• The Transactions of the Korea Information Processing Society
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• v.3 no.7
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• pp.1781-1791
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• 1996

A number of research issues such as knowledge acquisition, inferencing techniques, and knowledge refinement methodologies have been involved in the development of expert systems. Since each issue is considered very com- plicated, there has been little effort to take all the issues into account collectively at once. However, knowledge acquisition and inferencing are closely reated because the knowledge is extracted by human experts from the inferencing process for solving a specific task or problem. Knowledge refinement is also accomplished by hand-ling problems caused during the inferencing process of the system due to incompleteness and inconsistency of the knowledge base. From this perspecitive, we present a method by which software platform is established in which those issues are integrated in the development of expert systems, especially in the domain where the domain models and concepts are hard to be constructed because of inherent fuzziness of the domain. We apply a machine learning technique,technique, conceptual clustering,to build a knowledge base and rual models by which an efficient inferencing,incermental knp\owledge acquisition and refinment are possible.

• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.313-317
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• 1994

본 연구에서는 인간과 컴퓨터 사이의 음성을 이용한 대화 시스템을 구현하였다. 특별히 음성을 인식하는데 있어서 단어추출(word apotting) 방법을 사용하는 경우에 알맞은 의미 분석 방법과 도표 형태의 규칙을 기반으로 하여 시스템의 응답을 생성하는 방법에 대하여 연구하였다. 단어추출 방법을 사용하여 음성을 인식하는 경우에는 형태소분석 및 구문분석의 과정을 이용하여 사용자의 발화 의도를 분석하기 어려우므로 새로운 의미분석 방법을 필요로 한다. 본 연구에서는 퍼지 관계를 사용하여 사용자의 발화 의도를 파악하는 새로운 의미분석 방법을 제안하였다. 그리고, 사용자의 발화 의도에 적절한 시스템의 응답을 만들고 응답의 내용을 효율적으로 관리하기 위한 방범으로 현재의 상태와 사용자의 의도에 따른 응답 규칙을 만들었다. 이 규칙은 도표의 형태로 구현되어 규칙의 갱신 및 확장을 편리하게 만들었다. 대화의 영역은 열차 예매에 관련된 예매, 취소, 문의 및 관광지 안내로 제안하였다. 음성의 오인식에 의한 오류에 적절히 대처하기 위해 시스템의 응답은 확인 및 수정 과정을 포함하고 있다. 본 시스템은 문자 입력과 음성 입력으로 각각 실험한 결과, 사용자는 시스템의 도움을 받아 자신이 의도하는 목적을 달성할 수 있었다.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.333-340
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• 2009

Most of the previous automatic word spacing systems are not suitable to use for mobile devices with relatively low computing powers because they require many system resources. We propose an automatic word spacing system that requires reasonable memory usage and simple numerical computations for mobile devices with low computing powers. The proposed system is a two step model that consists of a statistical system and a rule-based system. To reduce the memory usage, the statistical system first corrects word spacing errors by using a modified hidden Markov model based on character unigrams. Then, to increase the accuracy, the rule-based system re-corrects miscorrected word spaces by using lexical rules based on character bigrams or more. In the experiments, the proposed system showed relatively high accuracy of 94.14% in spite of small memory usage of about 1MB.