• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.107-128
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• 2019

This study examines cases of digital humanities education programs at universities, university libraries and digital humanities centers in the United States. As a result of the research, it was analyzed that the university-centered education program operates in conjunction with other departments to take courses related to humanities and digital technology in general. The digital humanities education program is not operated as a full degree program, but most programs are operated as graduate certificate programs, and it is required to require a graduate degree in library and information science and humanities in advance. Most of the digital humanities centers run educational programs centered on faculty and postdoctoral researchers in universities in connection with universities and university libraries to support the humanities scholars. Lastly, the university's digital humanities education program is operated in the form of research support for students and researchers of all majors. In addition, the content of the educational program focused on the practice for digital projects rather than theory. Empowering digital literacy and supporting digital technology-based research has become a new role for university libraries, which requires libraries to play a central role in digital humanities education.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.335-353
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• 2011

This study examines how and which direction respondents who participated in 5-point Likert scale surveys change their initial responses when they are given an identical second survey after certain treatments. The research employs three identical questionnaires (first, second and third surveys) to analyze survey results based on group differences, kinds of treatment, survey purposes, and response change direction and the degree. This paper concludes that, first, it is significant that specialist groups do not change their initial responses compared to a general librarian group. Second, there are no differences by survey purpose; however, participants tend to change their initial responses by others' opinions rather than by previous use experiences. Third, participants who initially answered positively tend not to change their responses, and most participants who answered negatively change their initial responses in a positive direction. Fourth, when there are changes, participants change their initial responses by less than two points, and most of them change by one point. Finally, the hypothesis that middle responses change most and that participants who respond at both ends do not change their opinion was rejected by the finding that participants who answered on the negative end tend to change their initial responses in a positive direction.

• The Journal of Korean society of community based occupational therapy
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• v.5 no.2
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• pp.43-55
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• 2015

Objective : This study was a meta-analysis of previous studies to examine the integration of related factors depression University students of Korea, and to determine the relative importance among the relevant factors based on it. Methods : 2000-2014 papers posted on the National Science and Technology Information Center (NDSL), Nurimedia (DBpia), Academic Research Information Service (RISS), Korea Research Information(KISS), provide the text of the Library of Congress were collected using the service. The Key words a 'University Student', 'Depression', 'Depression Factors' was used. Used the Down & Black level, evidence-based checklist was developed by the research (1998) (checklist) had analyzed the selected document metadata to assess the quality. Results : 47-studies selected research groups are divided into five factors(self-esteem, suicidal ideation, positive thinking, stresses, Internet and smartphone addiction). Using meta-analysis, we analyzed the effect sizes, statistical heterogeneity and publication amenities. As a result, the self-esteem of the five factors were not found heterogeneity. Effect size is a self-esteem and suicidal ideation "large effect size", positive thinking and stress "medium effect size", internet and smart phone addiction"small effect size". Conclusion : Self-esteem and suicidal ideation are among the factors associated with depression in University students of Korea was found that the most relevant. It identified the factors associated with depression in college students, and could utilized as basis for the prevention of depression.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.2
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• pp.15-28
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• 2018

Objective : This study sought to characterize and determine the qualitative level of a single target study for stroke patients. Methods : The National Science and Technology Information Center (NDSL), DBpia (DBpia), RISS (Radical Research Information Service), Korea Research Information (KISS), and the National Assembly Library's original case study from 2002 to 2017. A total of 24 single target research papers were selected through the screening process to analyze the quality level of research methods and research design. Results : ABA design was th most common study design method. One person was the most with 12(50%). and three were the second with 8(33.3%). Imagination was the most used as an independent lawyer. Dependent variables had the highest level of situability and one-sidedness. The study was also conducted with a variety of target behaviors, including 'memory', 'visual attention', 'dysphagia', 'visual-motor coordination', 'balance', 'activity of daily life' and 'edema' behaviors. It also showed a positive effect on all dependent variables. The Qualitative level was found to be above the intermediate level except for one study. Conclusion : It is academic significance that this study analyzes the items to be prepared for in the performance of a single target study and further studies may require the establishment of a weak but good-quality single target study for researchers conducting research in local communities and clinical sites.

• Informatization Policy
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• v.29 no.2
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• pp.106-126
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• 2022

The digital divide issue is re-emerging in step with the rapid progress of digital transformation. Recently, the discussion of the digital divide is expanding to the point that the difference in digital access and use competency deepens economic and social inequality and discrimination. Notably, the phenomenon of the exclusion and alienation of the elderly from society is a serious matter to be addressed. Accordingly, this research was conducted to provide practical help in minimizing the digital divide through its understanding among the elderly. To this end, both the accomplished capital accumulated and experienced in the course of life and their attitudes toward technology in relation to digital competence capital by the elderly were examined in three dimensions. This analysis was conducted using the results of the '2020 The Report on the Digital Divide'. The target group of the analysis comprised 653 seniors aged 65 and above. As a result of the analysis, digital competence capital among the elderly was affected by both various types of accomplished capital such as educational, income, social, and emotional capital and digital device use attitude. Based on this, this study proposed measures to bridge the digital divide among the elderly.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.219-240
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• 2023

Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.

• Journal of Korean Society of Archives and Records Management
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• v.3 no.1
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• pp.93-109
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• 2003

Finding aids have existed from the time when ancient archives appeared, With this long history, they have been used in most of Western archives, and thus, it is one of the most familiar tasks generally performed by archivists. However, ironically, this accustomed concept has not been an academic object to many researchers. Especially, in this electronic age, finding aids are even more complicated in their forms and meanings. This paper intends to address the concept(s) of finding aids as reflected in the archival literature in North America. The paper will attempt to illustrate how the concept of finding aid has evolved both conceptually and practically in archives and archival science and how circumstantial and social elements affect this concept. It Seems that the concept of finding aids has developed from the broad and integrated concept of provenance and pertinence to the narrower and practical sense considering the use by the public. It also turns out that the concept has advanced from a mere technical tool for describing records to an access tool for maximum availability. Not surprisingly, the concept of finding aids have changed as archival science and the profession has advanced and diversified. It is crucial for the archival community to understand changes in the practice and the concept of finding aids that will enable the preparation of higher quality finding aids enabling the optimum use of archives.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.33-42
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• 2021

As smartphone-based tourism platforms have become active, policy establishment and service enhancement using review data are being made in various fields. In the case of the preceding studies using tourism review data, most of the studies centered on domestic tourists were conducted, and in the case of foreign tourist studies, studies were conducted only on data collected in some languages and text mining techniques. In this study, 3,515 review data written by foreigners were collected by designating the "Daegu attractions" keyword through the online review site. And LDA-based topic modeling was performed to derive tourism topics. The spatial approach through global and local spatial autocorrelation analysis for each topic can be said to be different from previous studies. As a result of the analysis, it was confirmed that there is a global spatial autocorrelation, and that tourist destinations mainly visited by foreigners are concentrated locally. In addition, hot spots have been drawn around Jung-gu in most of the topics. Based on the analysis results, it is expected to be used as a basic research for spatial analysis based on local government foreign tourism policy establishment and topic modeling. And The limitations of this study were also presented.

• Journal of Life Science
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• v.33 no.8
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• pp.663-679
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• 2023

This review analyzes research trends related to new drug development using artificial intelligence from 2010 to 2022. This analysis organized the abstracts of 2,421 studies into a corpus, and words with high frequency and high connection centrality were extracted through preprocessing. The analysis revealed a similar word frequency trend between 2010 and 2019 to that between 2020 and 2022. In terms of the research method, many studies using machine learning were conducted from 2010 to 2020, and since 2021, research using deep learning has been increasing. Through these studies, we investigated the trends in research on artificial intelligence utilization by field and the strengths, problems, and challenges of related research. We found that since 2021, the application of artificial intelligence has been expanding, such as research using artificial intelligence for drug rearrangement, using computers to develop anticancer drugs, and applying artificial intelligence to clinical trials. This article briefly presents the prospects of new drug development research using artificial intelligence. If the reliability and safety of bio and medical data are ensured, and the development of the above artificial intelligence technology continues, it is judged that the direction of new drug development using artificial intelligence will proceed to personalized medicine and precision medicine, so we encourage efforts in that field.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.81-89
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• 2023

In modern society, blind people face difficulties in navigating common environments such as sidewalks, elevators, and crosswalks. Research has been conducted to alleviate these inconveniences for the visually impaired through the use of visual and audio aids. However, such research often encounters limitations when it comes to practical implementation due to the high cost of wearable devices, high-performance CCTV systems, and voice sensors. In this paper, we propose an artificial intelligence fusion algorithm that utilizes low-cost video sensors integrated into smartphones to help blind people safely navigate their surroundings during walking. The proposed algorithm combines motion capture and object detection algorithms to detect moving people and various obstacles encountered during walking. We employed the MediaPipe library for motion capture to model and detect surrounding pedestrians during motion. Additionally, we used object detection algorithms to model and detect various obstacles that can occur during walking on sidewalks. Through experimentation, we validated the performance of the artificial intelligence fusion algorithm, achieving accuracy of 0.92, precision of 0.91, recall of 0.99, and an F1 score of 0.95. This research can assist blind people in navigating through obstacles such as bollards, shared scooters, and vehicles encountered during walking, thereby enhancing their mobility and safety.