• Journal of Industrial Convergence
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• v.21 no.10
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• pp.13-19
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• 2023

This study classified sensory affordances, functional affordances, and perceptual affordances, and verified their effects on consumers' participation and intention to stay in the metaverse. As a result of the study, sensory affordance, functional affordance, and perceptual affordance all had a positive effect on consumer participation, and sensory affordance had the greatest effect. In addition, consumer participation was found to increase the intention to stay. Service companies that provide metaverse platforms will have to pay more attention to realizing virtual space through various senses and physical elements when building a metaverse in order to encourage customers to actively participate in the service process. Since services based on the 4th industry, the participation of consumers needs to be more actively reviewed. From the perspective of affordance, it is expected that the realistic implementation of the metaverse environment and the interaction with various contents or avatars in the space will increase consumer participation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.481-486
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• 2023

This study applied virtual reality to women health nursing practicum for nursing students and analyzed the educational effect on meta-cognition and critical thinking. The study design was a convergent mixed method using single-group pre-post test design and individual in-depth interviews. After applying the virtual reality program, the post-score (104.16±12.98) was statistically significantly higher than the pre-score (98.59±18.09) (t=1.85, p=.030). There was no statistically significant difference in critical thinking after the program, with the post-score of 101.66±7.18 and the pre-score of 99.18±15.13 (t=1.00, p=.108). Therefore, women health nursing practice education using virtual reality can help improve the meta-cognition of nursing students.

• Journal of Hospice and Palliative Care
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• v.18 no.3
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• pp.196-207
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• 2015

Purpose: We comprehensively analyzed domestic studies on the effects of death preparation education in order to present objective data. Methods: Meta-analysis was conducted with a total of 22 master's and doctoral theses published between 2004 and 2014. Results: According to our analysis, the death preparation education had a mid-size effect. The effect size of a moderator variable was the greatest in infants and children, and the effect size was bigger in younger ages. The effect size was the greatest when education was given through a total of 10~15 sessions, twice a week, and less than 60 minutes per session. The effect variable and death-related variable showed a significant effect size, and sub-variables were equivalent to the death-related variable with a biggest effect size. Non-death related variables had a mid-level effect size and sub-variables were found to have the highest ego integrity. Conclusion: The significance of this study lies its systematic integration of advanced research on the effects of death preparation education through meta-analysis. By suggesting guidelines for the design of a death preparation education program, evidence-based basic data were proposed which will more likely strengthen intervention effects. Based on these results, more studies are needed to develop and extensively carry out a death preparation program which can meet needs of specific age groups from children to seniors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.308-313
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• 2016

Modern systems have become more and more complex due to the ever-increasing user requirements and rapid advance of technology. As such, the frequency of accidents due to system design errors or failure has been increasing. When the damage incurred by accidents to human beings or property is serious, the underlying systems are referred to as safety-critical systems. The development of such systems requires special efforts to ensure the safety of the human beings operating them. To cope with such a requirement, in this paper an approach is employed in which we consider safety starting from the conceptual design phase of the systems. Specifically, a systems design method that can detect functional failure is proposed by utilizing meta-models and M&S methods. To accomplish this, the safety design data from international safety standards are first extracted and also a meta-model is generated using SysML (systems modeling language). Then, a SysML-based system design method is proposed based on the use of the developed meta-model. We also discuss how the safety requirements can be created and verified using a simulation method. Finally, through a case study in automotive design, it is demonstrated that the detection of a functional failure and the verification of a safety requirement can be accomplished using the SysML-based M&S method. This study indicates that the use of meta-models can be useful for collecting and managing safety data and that the meta-model based M&S method can make it possible to satisfy the system requirements by reducing the design errors.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.129-140
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• 2022

Our society is undergoing rapid changes due to COVID-19, and in particular, online learning using digital technology is being tried in various forms in the educational field. A change has occurred. However, the limitations of distance learning, such as reduced learning immersion in non-face-to-face educational situations, lack of interaction between teachers and learners, and lower basic academic ability, are constantly being raised, and an appropriate educational strategy is needed to solve these problems. This study focused on the concept of 'Metaverse' based on the interaction between the virtual world and the real world, and tried to verify the effectiveness of educational activities based on it. In detail, we propose an educational framework for realizing flipped learning in the Metaverse Virtual Classroom, and a frame developed by measuring the learning immersion of a single group with a teaching/learning program developed based on this. The effectiveness of the work was verified. When the metaverse platform-based flip learning framework and education program proposed in this study were applied, it was confirmed that learners' immersion in learning was improved.

• Journal of Science Education
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• v.38 no.2
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• pp.257-269
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• 2014

The purpose of this study was to analyze of high school students' metacognition and scientific attitude according to gender and academic track. Also it was to investigate relationship between metacognition and scientific attitude. Data were gathered through questionnaires of 220 high school students. In the result of analysis on metacognition according to gender, the mean of male group was higher than the score of female group. The result of t-test wasn't showed statistically significant difference of two groups. In analysis on metacognition according to academic track, the score of science track students were higher than its liberal art track. And the difference between two groups was significant. The result of analysis on scientific attitude according to gender showed no difference between male group and female group. But there was significant difference between two groups in analysis on scientific attitude according to academic track. Also there was high correlation between sub-elements of metacognition and scientific attitude. The result of multiple regression analysis revealed the influence of moniter, regulation, criticism and openness. The results of this study can be utilized as basic data to develop teaching-learning strategy for cultivating high school students' metacognition and scientific attitude. Follow-up studies are needed for analyzing the relations of factors on science learning.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.55-59
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• 2007

A need for sharing the R&D information at a national level regardless of the ministry in charge of it is being aroused. However, this information is being managed by different institutes under different ministries without a standard identifier which makes it difficult to manage the information such as to look up duplicate projects. A URN-based identifier is required for the integrated management and utilization of the national R&D information. In this paper, the concept of the identification metadata for applying the identification system and the status of the information management by each institute will be the subject for discussion. Based on this, the elements required for issuing a unique identification number and identifier to the national R&D projects will be suggested in this paper.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.1
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• pp.101-127
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• 2018

The systematic management of research data is vital because it increases research data's value for research reproduction, verification, and reusability. Standard metadata will play a key role in research data registration, management, and data extraction. Research data has various structural relationships, such as research, research data, data sets, and files, and associated with entities such as citations and research results. The study proposes an ontology model for research data management. It also suggests the application of ontology to NTIS. Previous studies, metadata standard analyses, and research data repository case studies were conducted.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.621-623
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• 2022

최근 코로나19로 인해 비대면으로 소통할 수 있는 플랫폼에 대한 관심이 증가하고 있으며, 가상 세계의 개념을 도입한 메타버스 플랫폼이 MZ세대의 새로운 SNS로 떠오르고 있다. 아바타를 통해 상호 교류가 가능한 메타버스는 텍스트 기반의 소통뿐만 아니라 음성과 동작 시선 등을 활용하여 변화된 의사소통 방식을 사용한다. 음성을 활용한 소통이 증가함에 따라 다른 이용자에게 불쾌감을 주는 혐오 발언에 대한 신고가 증가하고 있다. 그러나 기존 혐오 발언 탐지 시스템은 텍스트를 기반으로 하여 사전에 정의된 혐오 키워드만 특수문자로 대체하는 방식을 사용하기 때문에 음성 혐오 발언에 대해서는 탐지하지 못한다. 이에 본 논문에서는 인공지능을 활용한 음성 혐오 표현 탐지 시스템을 제안한다. 제안하는 시스템은 음성 데이터의 파형을 통해 은유적 혐오 표현과 혐오 발언에 대한 감정적 특징을 추출하고 음성 데이터를 텍스트 데이터로 변환하여 혐오 문장을 탐지한 결과와 결합한다. 향후, 제안하는 시스템의 현실적인 검증을 위해 시스템 구축을 통한 성능평가가 필요하다.

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.53-82
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• 2017

The purpose of this study is to show the clustering trend and compare empirical results, as well as to choose the clustering ports for 3 Korean ports (Busan, Incheon, and Gwangyang) by using meta-frontier DEA (Data Envelopment Analysis) and integer models on 38 Asian container ports over the period 2005-2014. The models consider 4 input variables (birth length, depth, total area, and number of cranes) and 1 output variable (container TEU). The main empirical results of the study are as follows. First, the meta-frontier DEA for Chinese seaports identifies as most efficient ports (in decreasing order) Shanghai, Hongkong, Ningbo, Qingdao, and Guangzhou, while efficient Korean seaports are Busan, Incheon, and Gwangyang. Second, the clustering results of the integer model show that the Busan port should cluster with Dubai, Hongkong, Shanghai, Guangzhou, Ningbo, Qingdao, Singapore, and Kaosiung, while Incheon and Gwangyang should cluster with Shahid Rajaee, Haifa, Khor Fakkan, Tanjung Perak, Osaka, Keelong, and Bangkok ports. Third, clustering through the integer model sharply increases the group efficiency of Incheon (401.84%) and Gwangyang (354.25%), but not that of the Busan port. Fourth, the efficiency ranking comparison between the two models before and after the clustering using the Wilcoxon signed-rank test is matched with the average level of group efficiency (57.88 %) and the technology gap ratio (80.93%). The policy implication of this study is that Korean port policy planners should employ meta-frontier DEA, as well as integer models when clustering is needed among Asian container ports for enhancing the efficiency. In addition Korean seaport managers and port authorities should introduce port development and management plans accounting for the reference and clustered seaports after careful analysis.