• Journal of Convergence Society for SMB
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• v.2 no.2
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• pp.27-34
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• 2012

This study aims to achieve the following goal. Goal is to do the comparative analysis through the in-depth investigation of global technology commercialization agencies and program. In the era of global competition, The change to the innovation-driven economy through the creation and diffusion of technology is accelerating in the world. For the global technology and market changes and efficient information management, systematic support system for local SMEs is required. To this end, we researched and analyzed the level of technology and commercialization trends in major foreign countries, and major domestic and international institutes, and technology commercialization programs. Based on this, we draw the domestic SMEs' expansion strategy and information support plan to enter the global market.

• Journal of Institute of Convergence Technology
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• v.6 no.2
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• pp.29-33
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• 2016

Recently, the authors of this paper proposed newly the correlation model to calculate the horizontal global solar radiation in Korea based the Zhang-Huang (ZH) model proposed in 2002 for China. Previous study was pronounced the correlation with a new term of the duration of sunshine proved as being closely related with the hourly solar radiation in Korea into ZH model. And then another modified correlation for the regions without measuring cloud cover was proposed and evaluated the accuracy and validity for those regions. So, this study was performed to propose modified correlation to calculate the horizontal global solar irradiance of non-measuring cloud-cover regions. Finally, this study proposed the new correlation that could well predict hourly and daily total solar radiation for all regions, various seasons, and various weather conditions including overcast and clear, with higher accuracy and lower error than other models proposed ever before in Korea for non-measuring cloud-cover regions.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.235-243
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• 2015

Recently, due to the spread of the Korean Wave, as worldwide interest in Korean culture and the appearance of Korean celebrities increases, overseas expansion of Korean beauty companies have been activated. Despite the global economic downturn, Beauty Industry is continuing to grow, Korea's growth rate is remarkable level. Despite this growth in order to maintain a steady growth since the beauty industry is small and polarization based on the Beauty-IT Convergence Technology creates new markets, that require development of Beauty-IT Convergence Industry. For the status and prospects of the Beauty Industry, some research has been carried out, not all the studies carried out so far for Beauty-IT Convergence Industry. Therefore, this study is significant that Beauty-IT Convergence Industry's first research. The global Beauty-IT Convergence Industry is at the beginning yet, tThe government selected research topics of Top-Down approach to Beauty-IT Convergence technology, granted extra points, supported by establishing long-term Technology Roadmap as other industries, such as by establishing a global market strategy for the systematic occupation and promising technology development planWe will get focused training.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.363-372
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• 2020

This study was conducted to understand the effects on the attitude toward the elderly, willingness to geriatric nursing practice, and global competencies by developing a geriatric-nursing convergence education program. This program that combines the theory of elderly care and practical education and applies it to nursing students. This is a nonequivalent control group pretest-posttest design. The study participants consisted of 19 in a control group and 17 in an experimental group. They were the second-year of the nursing students in A city, Chungcheongnam-do. This program, including character building, elderly care competence, global competence, and community contribution, was held for 80 hours from August 28, 2017 to December 8, 2017. The experimental group compared to the control group, attitude toward the elderly (Z =-.46, p =.66), willingness to geriatric nursing practice (Z =-.64, p =.53), global competence (Z =-1.08, p =.29) showed no statistically significant difference. As a result of this study, it is suggested to develop and implement a convergence education program that nursing students can form positive attitudes toward the elderly and interact directly with the elderly.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.319-330
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• 2017

Recently, various universities in Korea have started to work on strengthening their liberal arts and character education through the residential college (RC) system, carrying out various community programs for this purpose. However, because most programs are based on student-to-student relationships, problems can often arise within the community living environments. This paper proposes the roommate assignment algorithm in the context of a residential college, as to effectively achieve character education goals. The clustering algorithm we propose is based on the similarity hypothesis. As a result of the assignment, the degree of similarity (euclidean distance) between roommates was significantly higher than that assigned randomly. The algorithm developed in this study was applied to the data of the students living in the international campus of H University.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.275-289
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• 2021

Although the need for global citizenship education (GCE) has been emphasized globally, Korea lacks GCE for child welfare workers who affect children's global citizenship. In response, this study analyzed the reality of educational needs by (a) investigating domestic and international GCE policies, (b) doing the in-depth interviews with experts, and (c) surveying workers. According to the policy analysis, GCE in Korea has been mainly conducted through the school system but it was conducted in various ways worldwide. The need to expand GCE in Korea was also emphasized in the in-depth interview. The survey analysis showed that the path relationship among awareness-interest-desire to participate in GCE was significant, indicating that increasing awareness and interest for GCE was effective in real action. Based on this, we confirmed that GCE is a necessary education for child welfare workers, emphasized the need to raise awareness of GCE based on the AIDA model, and presented indicators that can be used for GCE.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.82-91
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• 2023

In 2020 when the COVID-19 pandemic began in full-scale, the WHO Director-General warned of the dangers of an infodemic. The infodemic is a phenomenon in which false information spreads rapidly like an epidemic and causes chaos, and it was noted that the COVID-19 pandemic is not just limited to health problems, but also linked to a variety of issues such as human rights, economic inequality, various discrimination, hate speech, fake news, global governance etc. In the field of education, it is necessary to think about how to connect this global situation with school classes. Accordingly, this study suggested the direction for global citizenship education by analyzing how the infodemic spreads on Korean social media with the case of the recent global COVID-19 pandemic. According to the research results, the rate of negative emotions was higher than positive ones in the emotions that generate infodemic, while anxiety and anger were focused among negative emotions. In addition, the infodemic tended to spread widely with the feelings of anger rather than anxiety, and the feelings of anger led to advocating aggressive policies against certain country and regions. Therefore, global citizenship education is required to focus on a sense of duty and responsibility as a citizen, not on the level of national identity based on an exclusive sense of belonging. Furthermore, global citizenship education needs to lead to presenting a blueprint for education in a way that can enhance the awareness of the global community for joint response to global challenges and realize common prosperity based on sustainability and justice.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1643-1652
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• 2022

Most of the existing machine reading research has used Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) algorithms as networks. Among them, RNN was slow in training, and Question Answering Network (QANet) was announced to improve training speed. QANet is a model composed of CNN and self-attention. CNN extracts semantic and syntactic information well from the local corpus, but there is a limit to extracting the corresponding information from the global corpus. Graph Convolutional Networks (GCN) extracts semantic and syntactic information relatively well from the global corpus. In this paper, to take advantage of this strength of GCN, we propose I-QANet, which changed the CNN of QANet to GCN. The proposed model performed 1.2 times faster than the baseline in the Stanford Question Answering Dataset (SQuAD) dataset and showed 0.2% higher performance in Exact Match (EM) and 0.7% higher in F1. Furthermore, in the Korean Question Answering Dataset (KorQuAD) dataset consisting only of Korean, the learning time was 1.1 times faster than the baseline, and the EM and F1 performance were also 0.9% and 0.7% higher, respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.439-442
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• 2014

The previous wearable computing researches have been taken the deficiency of global view about ubiquitous integration. They have approached the skewed directions and approaches for the wearable ubiquitous computing. Therefore we propose a more advanced global architecture model and a general service cycle. This paper firstly proposes an architecture design of computing life cycles in digital garment environments. Then it also provides the process cycles for supporting general services in digital garment applications. Finally, we present the important design consideration issues for implementing a digital garment system.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.528-529
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• 2023

Due to vast points and irregular structure, labeling full points in large-scale point clouds is highly tedious and time-consuming. To resolve this issue, we propose a novel point-based transformer network in weakly-supervised semantic segmentation, which only needs 0.1% point annotations. Our network introduces general local features, representing global factors from different neighborhoods based on their order positions. Then, we share query point weights to local features through point attention to reinforce impacts, which are essential in determining sparse point labels. Geometric encoding is introduced to balance query point impact and remind point position during training. As a result, one point in specific local areas can obtain global features from corresponding ones in other neighborhoods and reinforce from its query points. Experimental results on benchmark large-scale point clouds demonstrate our proposed network's state-of-the-art performance.