• Journal of the Korean Society for Library and Information Science
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• v.34 no.3
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• pp.61-76
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• 2000

A study on the remote library users showed that remote users preferred online databases and internet as information resources because of easy access and easy of use. However, they have used books and journals, which are printed resources, as main information resources because online databases and internet cannot satisfy their information needs. Also, 86.7 percent of remote users consider library services as an important issue to choose a distance learning program, and remote users extremely motivated by their professors to use library so that there are needs to have partnership between distance learning programs and library services. Finally, remote users consider authority and accuracy and contents of obtained information as important issues for their information rather than design of the databases, so that library should secure more digitalized information for remote users needs. This study is to contribute to improve quality of information services for remote users, however, it is not thoroughgoing enough, and there should be successive researches in the future.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.4
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• pp.149-182
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• 2018

In the era of digital transformation, new technologies have begun to be applied in the field of records management, away from the traditional view that emphasized the existing institutional and administrative aspects. Therefore, this study analyzed the service status of archives, libraries, and museums applied with advanced intelligent technology and identified the differences. Then, we proposed how to apply intelligent archival information services based on the analysis results. The reason for including libraries and museums in the research is that they are covered by a single category as an information service provider. To achieve our study aims, we conducted literature and case studies. Based on the results of the case study, we proposed the application strategies of intelligent archival information services. The results of this study are expected to help develop intelligent archival service models that are suitable for the changed electronic records environment.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.117-136
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• 2022

The purpose of this study is to derive implications by comparing and analyzing the North Korean Library Act both in 1999 and in 2012. In this study, the North Korean Library Act revised in 2012 compared to the previous North Korean Library Act in 1999, and the newly revised, deleted, and newly established items were analyzed by old/new phrase contrast method. While the North Korean Library Act revised in 1999 consisted of a total of 5 chapters and 45 articles, the North Korean Library Act revised in 2012 was reorganized into a total of 6 chapters and 58 articles. The main changes and features are the establishment and modification of provisions related to electronic libraries and electronic publications in accordance with changes in the information service environment, and new provisions related to training of library staff. Based on the analyzed results, the topics and fields that can be discussed in the future, such as mutual exchange of various learning contents for remote education, establishment of an information service cooperation system between South and North libraries, and training specialists on North Korean libraries.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.501-509
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• 2017

The purpose of this study was to review the effects of the physical fatigue induced by overtraining on cognitive information processing and emotional change of athletes by neurophysiologic study. And to provide basic data for the athletes and coaches in the sports field to improve understanding of the overtraining symptoms from the brain physiological point of view. We reviewed the domestic and international academic materials and research reports published in the last 20 years using electronic databases and examined the literature that is consistent with the purpose of this study among the retrieved documents. Based on the reviewed literature, we examined the cognitive information processing and emotional change of the athlete according to the training, and overtraining can accumulate the fatigue of the body, which can cause severe side effects in terms of cognitive ability and emotional ability of athletes as well as deterioration of performance. The study using P300 and EEG cerebral hemispheric asymmetry difference indices also confirmed the possibility of a new approach to understand psychological and physiological effects of overtraining on information processing and emotional changes.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.579-599
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• 2014

The purpose of this study was to identify the trends and risk of bias of research using time series analysis on health and welfare in Korea and to suggest a direction for future health and welfare research. The database searches identified 6,543 papers. Following the process for screening and selecting, a total of 91 papers were included in the systematic review. There has been a steady increase in the number of articles using time series analysis from 1987 to 2013. Time series analysis was applied in medicine and health science journals. The main goals were explanation and description. Most of the subjects were heath status and utilization of healthcare services. The main model used in the time series analysis was ARIMA followed by time series regression. The data were gathered from various sources, including the national statistical office and government agencies. For assessing risk of bias, some studies were found to have inadequate sample sizes or showed no time series graphs and plots. These findings suggest greater widespread utilization of time series analysis in the field of health and welfare and to use the appropriate analysis methods and statistical procedures to obtain more reliable results to improve the quality of research.

• Journal of the Korean Society of Radiology
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• v.16 no.4
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• pp.453-462
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• 2022

In this paper, the artificial intelligence (AI) technology used in the medical image analysis field was analyzed through a literature review. Literature searches were conducted on PubMed, ResearchGate, Google and Cochrane Review using the key word. Through literature search, 114 abstracts were searched, and 98 abstracts were reviewed, excluding 16 duplicates. In the reviewed literature, AI is applied in classification, localization, disease detection, disease segmentation, and fit degree of registration images. In machine learning (ML), prior feature extraction and inputting the extracted feature values into the neural network have disappeared. Instead, it appears that the neural network is changing to a deep learning (DL) method with multiple hidden layers. The reason is thought to be that feature extraction is processed in the DL process due to the increase in the amount of memory of the computer, the improvement of the calculation speed, and the construction of big data. In order to apply the analysis of medical images using AI to medical care, the role of physicians is important. Physicians must be able to interpret and analyze the predictions of AI algorithms. Additional medical education and professional development for existing physicians is needed to understand AI. Also, it seems that a revised curriculum for learners in medical school is needed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.71-80
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• 2022

The purpose of this study was to evaluate the effects of the non-pharmacological intervention on depressive symptoms in the older adults with mild cognitive impairment. A total of 1,147 studies were retrieved from PubMed, CINAHL, PsycINFO, Science direct, KISS, RISS, and DBPia. Twenty-one studies which met the criteria were selected and the quality assessment was conducted independently by two investigators. The effect size of non-pharmacological intervention was estimated using Comprehensive Meta-Analysis 3.0. The overall effect size turned out to be the medium effect size (Hedges' g=-0.68, 95% CI=-1.01~-0.36). As a result of the subgroup analysis, the intervention type was statistically significant. The effect size of cognitive intervention (Hedges' g=-1.03, 95% CI=-1.43~-0.61) and multi component intervention (Hedges' g=-0.97, 95% CI=-1.63~-0.33) was greater than excise intervention (Hedges' g=-0.53, 95% CI=-1.16~0.03). This study shows that non-pharmacological intervention was also effective in reducing depressive symptoms in the older adults with mild cognitive impairment. Based on the research results, it is expected that various non-pharmacological intervention studies will be attempted to improve cognitive function and depressive symptoms of the older adults with mild cognitive impairment.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.4
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• pp.105-123
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• 2004

This study was to predict through the trend analysis, one of the forecast technique, the future of library End Information center. In order to do that literature reviews, analysis of library's home page and specialist interview were conducted. As a result, It appeared that based on the trend analysis to predict the middle future(after 5-10 years) of library and information center. The results of this study are as follows. The first, the future information environment is represented by mobile and ubiquitous. Through this, anytime, anywhere, any device, we can be taken any media. The second, the problems of future library are technical, economic, social, ethical and legal problem. The third, unreliable factors come out in time lag, the supply speed of terminals, library services, copyrights and so on. The fourth, the future library is expanded through wireless terminal information access and use, development of mobile technique, universal ubiquitous environment and electronic information's use are extended.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.457-480
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• 2006

It is essential to conduct an analysis of superior journals, facilitate the international distribution of domestic journals, and determine an effective way to promote a journal's international distribution. This study seeks to determine an effective approach to the international distribution of Korean medical and life science journals and investigates the bibliographies, home pages, and databases about four international distribution factors with regard to 90 journals arranged into three categories. For the effective way of distributing domestic journals internationally, we should develope Korean journals with international standards, record the journals' articles in international and domestic databases, raise the rate of international subscription and holding journals. and publish electronic journals linking their electronic files with many databases.