• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.51-58
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• 2020

Most of the students in computer-related departments work on projects, and it is essential to use a database for project execution. To use such a database, it is necessary to install a Database Management System. However, it takes several minutes (hours) to install a DBMS, and some DBMS require a difficult installation process. Therefore, in order to solve this problem, this study proposed a system that can easily install DBMS using Docker. Docker is an open source project that automates the deployment of Linux applications into software containers. Docker Container is wrapped in a complete file system that includes everything necessary for the execution of software, and includes code, runtime, system tools, system libraries, and anything that is installed on the server. This guarantees that they will always run the same regardless of the environment in which they are running. After creating a database using this proposed system, you can check the database access information on the web and check the server status in minutes. As a result of of implementing this proposed system and applying it to the projects of 10 teams, the installation time was reduced by 94.5% for Maria DBMS and 98.3% for Oracle DBMS than individual installation, confirming improved efficiency.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.57-79
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• 2001

The study designs and implements a metadata management system for archival and manuscripts control. It has two purposes. First purpose is to organize the collection that the Institution of Korean Church History holds by using the proposed metadata format. Second purpose is to suggest the model and framework for managing the collection. The proposed metadata is designed based on ISAD(G), USMARC AMC, EAD and Ebind, By using the proposed metadata, the collection management system, which allows an integrated retrieval, is implemented. In order to evaluate the efficiency of the proposed system as well as to gain the basic data for the improvement of the proposed system, a questionnaire survey through e-mail is conducted. The evaluation results will be utilized for improving and upgrading the proposed system, and the phrased implementation of applying the system to digital libraries is suggested.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.353-374
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• 2024

This study aimed to delve into the personal experiences of academic librarians as they perform their duties, seeking a holistic understanding of their professional experiences and the subjective experiences underlying them. To this end, the study conducted in-depth interviews with librarians, who were selected as research participants from private four-year universities, and analyzed the collected data using Giorgi's phenomenological analysis method. The findings reveal that the experiences of academic librarians can be summarized as "ambivalent perceptions of the librarian profession," "discrepancies between expectations and reality," "discriminatory personnel practices within university organizations," "growth and limitations derived from professional experiences," and "adaptation and anxiety in response to rapid environmental changes." A closer examination indicated that academic librarians continuously experience and resolve dilemmas within complex contexts. The findings of this study are expected to deepen the understanding of the profession of academic librarians and contribute to the development of practical strategies for workforce management and the improvement of working conditions.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.353-375
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• 2016

Although people seriously worry that "digital paradox" is a "quiet crisis" to our society as a whole and threatens our future generation, we need to reconsider how we utilize digital media for effective learning as we understand its characteristics and compare the differences among all formats of media that used for learning. The purpose of this study is to suggest and analyze school library media programs as Learning Commons by applying the relevant theories on information, learning, learning with media, and meaningful learning. The study assumes the importance of the school library media programs that manage rich Information in various formats in an educational system. The study provides theoretical grounds and insights to practitioners and researchers in the relevant field as they face the challenges in putting an emphasis of today's school library media programs for student learning in digital age.

• Journal of Information Management
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• v.32 no.1
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• pp.23-49
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• 2001

The purpose of this study is to examine how corporate names are treated in the OPACs in Korea, and to find out how well the authority control is implemented. A corporate body often has different names and different forms of names which should be properly linked in the OPACs. Without the help of either references or internal links among such names and forms of names in the OPACs, users are likely to fail in getting the right results, In this study, the OPACs from the five major libraries, the National Assembly Library, KISTI, Yonsei University, the National Central Library, and the KERIS were examined. Major common findings include (1) the lack of consistency in applying cataloging rules, (2) the lack of proper authority control in treating corporate names, and (3) the lack of references or links among names and variant forms of names. Because of the small scale of this study, more comprehensive and thorough study seems to be needed. However, the overall improvement of cataloging practices and application of authority control is strongly suggested, based upon the findings.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.801-808
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• 1999

지금까지, 전기통신망과 장비들의 관리에 대해서는 많은 연구들이 진행되었지만, TMN 상위 계층의 서비스 관리와 비즈니스 관리에 대한 연구는 많이 수행되지 못했다. 최근 전세계적으로 TMN 상위 계층의 관리기능 구현을 위해서 CORBA 기술을 적용하고자하는 관심이 증가하고 있다. 본 논문에서는, 정보모델과 상호운용에 관한 TMN과 CORBA의 주요특징들을 비교하고, TMN 프레임웍와 효율적인 CORBA 기술 연동을 위한 플랫폼 구조를 제안한다. 제안된 구조에서, TMN 관리 정보를 CORBA IDL 인터페이스로 변환해주는 GDMO/ASN.1 - CORBA IDL 변환기가 고안, 구현되었고, JIDM의 상호 작용 변환의 구현을 위해서 TMN/CORBA 게이트웨이 또한 고안되었다. 그리고 이러한 기능의 확장을 위해서 모듈 형식으로 라이브러리들과 코드 생성기들이 설계, 구현되었다.Abstract Up to now, a lot of efforts have been made for the management of telecommunication networks and equipment, but less effort has been made for the realization of higher-layer service and business management. There are recently worldwide growing interests for applying CORBA technology for the realization of higher layer Telecommunication Management Network (TMN) management functions. In this paper, we compare the features of TMN and CORBA with respect to information model, and operational behavior. And then, we propose a platform architecture for the efficient integration of CORBA technology within TMN framework. Within platform architecture, GDMO/ASN.1 to IDL translator has been designed and implemented for translating TMN management information into CORBA IDL interface. The TMN/CORBA gateway is also designed for realization of the interaction translation specification of JIDM task force. The libraries and code generators have been designed and implemented in a modular fashion to provide the functional extensibility.

• Journal of IKEEE
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• v.22 no.1
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• pp.162-167
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• 2018

In this paper, we propose a method to classify radar signals according to the jamming technique by applying the machine learning to parameter data extracted from received radar signals. In the present army, the radar signal is classified according to the type of threat based on the library of the radar signal parameters mostly built by the preliminary investigation. However, since radar technology is continuously evolving and diversifying, it can not properly classify signals when applying this method to new threats or threat types that do not exist in existing libraries, thus limiting the choice of appropriate jamming techniques. Therefore, it is necessary to classify the signals so that the optimal jamming technique can be selected using only the parameter data of the radar signal that is different from the method using the existing threat library. In this study, we propose a method based on machine learning to cope with new threat signal form. The method classifies the signal corresponding the new jamming method for the new threat signal by learning the classifier composed of the hidden Markov model and the neural network using the existing library data.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.7-29
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• 2014

The purpose of this study was to develop and evaluate a measuring scale for the effect of reading programs for children. First, in literature review, the effects and children's reading programs performance scales were analyzed, and then independent variables, dependent variables, and control variables for children's reading achievements were defined. Second, survey questionnaires for children, librarians, program instructors, and heads of child centers were designed to measure dependent variables and control variables on the scale. Third, the questionnaires for children were distributed to 10 public libraries participating in <2013 The Reading with Library> programs for two times in the early and the late time of the programs. Also, the survey questionnaires of 30 librarians, program instructors, and heads of the child centers were carried. Finally, all of the data were collected and analyzed in time series, and the improvements for the scale were proposed.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.2
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• pp.132-140
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• 2019

In this paper, we propose a classification method for radar signals depending on the type of threat by applying machine learning to parameter data of radar signals. Currently, the army uses a library of mapping relations between the parameters and the types of threat to recognize threat signals. This approach has certain limitations when classifying signals and recognizing new types of threat or types of threat that do not exist in the current libraries. In this paper, we propose an automatic radar signal classification method depending on the type of threat that uses only parameter data without a library. A convolutional neural network is used as the classifier and machine learning is applied to train the classifier. The proposed method does not use a library, and hence, can classify threat signals that are new or do not exist in the current library.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.4
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• pp.269-296
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• 2018

The purpose of the study is to examine prospective librarians' library practicum experiences by using Giorgi's descriptive phenomenological method. To achieve the purpose of the study, the study conducted in-depth interviews with the participants of the library practicum in the department of library and information science at the A university. Following Giorgi's four ways of phenomenological description, the study analyzed the collected data from in-depth interviews with the participants. Prospective librarians' library practicum experiences were able to analyze as five significant themes and seventeen sub-categories of the themes. The five main themes are as followings: 'formulating perception of libraries and librarians', 'formulating career design through self-development and challenges', 'growth and challenges in preparing the library practicum', 'growth and challenges in the middle of library practicum' and 'experiences after the library practicum and the evaluation.' On the basis of the findings, the study suggested alternative programs of library practicum and the directions for performing the programs effectively and efficiently.