• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.263-282
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• 2015

Online education in the field of LIS has continued to spread out in university curricula or with collaborative online programs through consortia among universities. Unlike the traditional online education, however, MOOCs (Massive Open Online Courses) with the recent advent and advances have risen as a new paradigm in education of the future in that these are massive online learner-centered courses, free and open to any person with no limit on enrollment. With no exception to this phenomenon, the LIS field centered by overseas iSchool universities has been offering MOOCs for core LIS courses. This research conducted a case study of utilizing a part of overseas LIS MOOCs in a core LIS course at domestic University-A, in order to explore the potential for utilizing overseas MOOCs in LIS education. The results of conducting a survey and a focus group interview to students discovered that MOOCs content was interesting and useful and many of them were willing to take other MOOCs in the future, despite some language barriers. Based on these findings, this study suggested the need for establishing educational value, administering methods, ways to motivate students, and designing MOOCs by incorporating the characteristics of the LIS field, as ways to utilize MOOCs in LIS education.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.99-120
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• 2017

In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.181-205
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• 2013

The purpose of this study is to develop a job-stress scale for librarians who work in university libraries. The study was first conducted by analyzing existing representative job-stress scales that are used domestically and internationally. To understand the characteristic of particular job stress that academic librarians have, the in-depth interview among qualitative research methods was selected, and 15 librarians who work at a 4-year system university libraries participated in this study. Based on the results of the questionnaire survey, the reliability and validity were verified. To analyze the validity, exploratory factor analysis was carried out. To extract factors, principal component analysis was used. To extract factors, principal component analysis was used. For the rotation method, a varimax rotation was applied. A tertiary measurement tool with a total of 46 questions for 11 factors was developed after removing measurement questions that were rejected as a result of the analysis. As a result of factor analysis on the tertiary measurement tool, 11 factors were extracted. Those 11 factors include 'peer relation conflict factor(factor 1)', 'superior-subordinate relation conflict factor (factor 2)', 'work compensation evaluation factor(factor 3)', 'emotional labor factor(factor 4)', 'physical environmental factor(factor 5)', 'employment stability(factor 6)', 'job demand factor(psychological) (factor 7)', 'decision-making and responsibility factor(factor 8)', 'work complexity factor(factor 9)', 'work boundary conflict factor(factor 10)', and 'job demand factor(physical)(factor 11)'.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.255-279
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• 2020

Recently, as the range of users utilizing open data has expanded from experts to students, and general citizens, the role of open data portals has changed. In the past, portals have neglected to increase data utilization through citizen participation by focusing on the role of simple data repository, but now they tend to focus on understanding, collaboration and sharing values so that users can actively use data. To meet these social trends, open data portals need to seek ways to improve user-centered services that can encourage citizen participation. The purpose of this study is to identify the main functions for citizen participation in open data portals, to analyze the current status of open data portal user services and to suggest ways to improve them. Through the literature research, we investigated the functions provided by portal services for citizen participation, deduced the types of user services, and analyzed open data portal user services. Furthermore, we suggested user-centered public data portal services improvement plans for citizen participation.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.35-55
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• 2022

As altmetrics has received a lot of attention as an muti-dimensional impact assessment tool, it is necessary to verify whether it can supplement the citation-based research performance evaluation system. This study analyzed and compared the effects of each altmetrics sources on citation by sampling 1,600 high-cited papers published in the last 10 years (Sample A) and non-year-limited papers (Sample B) indexed in Scopus. In addition, it was analyzed whether the OA of the paper had a moderating effect on the numbers of cited-by, and the difference according to the samples was verified. As a result of the analysis, only the number of Mendeley bookmark readers was analyzed to have a positive (+) effect on the numbers of cited-by, and OA status had a significant moderating effect in both groups. However, in sample A, OA showed a reinforcing effect on cited-by, whereas Sample B showed a weakening effect, showing a difference. On the other hand, social mention such as media reports do not have a significant effect on the cited-by regardless of OA conditions, but they can be used to understand the social impact of non-academic mass readers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.3
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• pp.267-293
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• 2022

A webzine issued by a public institution not only plays a role in communication between members of the institution and its users, but is itself a meaningful record. In addition, as one of the management techniques of the archives, there is a growing awareness that active marketing is needed to promote the service and allow potential users to visit the archives. Therefore, efforts should be made to increase user satisfaction by identifying user needs, composing content reflecting them, and selecting user-centered interfaces appropriately. The purpose of this study is to design 'On-Gi', a newsletter of the Presidential Archives, as a user-participating smart platform in a smart device environment. As a research method, we first looked at the current status of webzine publication by relevant domestic institutions. Next, we compared and analyzed the issue of 'On-Gi' provided by the Presidential Archives and major contents. Based on this, a design model of the webzine for the marketing of the Presidential Archives was proposed. This can be used as a key marketing strategy for the Presidential Archives in the new user environment of technological innovation of smart devices.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.95-123
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• 2017

This study brings up that further studies on the perceptions of university students should be conducted for efficient management of student records. Moreover, the Q methodology is used to identify subjective recognition (Q1) type related to the importance of student records and subjective perception (Q2) of student records type. For this purpose, I carried out questionnaires and interviews with eight students by each grade at Chonnam National University. As a result, Q1 type was derived from Collective Evidence type, Independent activity type, Democratic witness type, and achievement-oriented type. The type of Q2 is derived from Historical Value of Community Type, Personal Possession Type, Historical Expert Management Type, Value for Historical Practical Use Type, and Non-historical Preservation Type. Based on the research results, the following are suggested: First, the management of student records is needed in a way that encompasses various records of various records properties. Second, the management of student records should be established from the perspective of the Community Archives. Third, a strategic measure for the preservation of student records produced by students is necessary (e.g., a campaign for conservation of student records).

• Journal of Korean Library and Information Science Society
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• v.41 no.4
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• pp.211-240
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• 2010

Gwang-Kuk Wonjong Gongsin-Nokgwon(光國原從功臣錄券) is a book which recorded the titles of position and the names of retainers who corrected the Chosun dynasty's genealogy. This study aims to research into existing 4 books of Gwang-Kuk Wonjong Gongsin-Nokgwon, which were to analyze the reasons of grant, structure and forms, the characteristics of meritorious retainers' official positions and social status. As the result, Gwang-Kuk Wonjong Gongsin-Nokgwon is the metal typologic book which was made up Jaeju-Gapin(再鑄甲寅) letter type. The structure of the Gwang-Kuk Wonjong Gongsin-Nokgwon was composed of the beginning(卷首) the body(本文) the end(卷末). Gwang-Kuk Wonjong meritorious retainers formed the total of 872 persons(1st grade: 137 persons, 2nd grade: 136 persons, 3rd grade: 599 persons) with 354 official titles. Also an analysis of their social status confirmed that 872 persons were "Yang-ban(兩班)" which constituted the largest group(748 persons : 85.8%), "Jung-in(中人)" were second group(103 persons : 11.8%), "Yang-in(良人)" were 13 persons(1.5%) and "Chun-in(賤人)" were 8 persons(0.9%).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1061-1067
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• 2018

In the $4^{th}$ industrial revolution of the latest, the development of the technique in the software field decides the success or failure of a country. With the trend of it, each country makes a countless effort on the education of software. This study reconstructed a questionnaire of the type of personality and conducted a research applied to learners with the help of professionals. I observed the attitude of learners during the programming class and the influence of it on the learning ability of self-oriented learning and learning motivation. As a result of it, there came up with a significant difference (at the side of self-oriented studying and the motivation of studying) depending on the type of personality of learners. Therefore, we can look forward to increasing the effects of self-oriented learning and self motivation by applying to the merits of each type of personality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3330-3344
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• 2023

This paper proposes an antenna performance prediction model in the autonomous driving radar manufacturing process. Our research work is based upon a challenge dataset, Driving Radar Manufacturing Process Dataset, and a typical AutoML machine learning workflow engine, Pycaret open-source Python library. Note that the dataset contains the total 70 data-items, out of which 54 used as input features and 16 used as output features, and the dataset is properly built into resolving the multi-output regression problem. During the data regression analysis and preprocessing phase, we identified several input features having similar correlations and so detached some of those input features, which may become a serious cause of the multicollinearity problem that affect the overall model performance. In the training phase, we train each of output-feature regression models by using the AutoML approach. Next, we selected the top 5 models showing the higher performances in the AutoML result reports and applied the ensemble method so as for the selected models' performances to be improved. In performing the experimental performance evaluation of the regression prediction model, we particularly used two metrics, MAE and RMSE, and the results of which were 0.6928 and 1.2065, respectively. Additionally, we carried out a series of experiments to verify the proposed model's performance by comparing with other existing models' performances. In conclusion, we enhance accuracy for safer autonomous vehicles, reduces manufacturing costs through AutoML-Pycaret and machine learning ensembled model, and prevents the production of faulty radar systems, conserving resources. Ultimately, the proposed model holds significant promise not only for antenna performance but also for improving manufacturing quality and advancing radar systems in autonomous vehicles.