• KNOM Review
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• v.23 no.2
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• pp.18-28
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• 2020

With the development of the virtual community, the benefits that IT technology provides to people in fields such as healthcare, industry, communication, and culture are increasing, and the quality of life is also improving. Accordingly, there are various malicious attacks targeting the developed network environment. Firewalls and intrusion detection systems exist to detect these attacks in advance, but there is a limit to detecting malicious attacks that are evolving day by day. In order to solve this problem, intrusion detection research using machine learning is being actively conducted, but false positives and false negatives are occurring due to imbalance of the learning dataset. In this paper, a Random Oversampling method is used to solve the unbalance problem of the UNSW-NB15 dataset used for network intrusion detection. And through experiments, we compared and analyzed the accuracy, precision, recall, F1-score, training and prediction time, and hardware resource consumption of the models. Based on this study using the Random Oversampling method, we develop a more efficient network intrusion detection model study using other methods and high-performance models that can solve the unbalanced data problem.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.111-122
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• 2019

The advent of the Fourth Industrial Revolution provides new civilized convenience, while the humanistic ecological environment is at stake. Therefore, looking at our culture and arts ecological foundations is ultimately for the preparation of a rich life for the future. Therefore, establishing a desirable cultural ecosystem begins with an enduring tradition of traditional art.This study examined the dancing characteristics of gabbigochanong-ag, which maintains the nongsapul-inong-ag performance pattern. Two field studies and image analysis studies showed that gabbigochanong-ag maintained the characteristics of traditional nong-ag, which strengthened the solidarity and cooperation of village community members and shared community identity. gabbigochanong-ag encourages the participation of the members of the village community through mechanistic dance movements based on soundness, imitative dance movements with minimal movement, repetitive dance movements, and communicative dance movements, As a result of the change, the members of the group were attracted to each other. Although gabbigochanong-ag was not sophisticated or sophisticated, it had a dancing structure that could create aesthetics and marginal aesthetics of slowness from the swiftness and convenience of civilization and bring harmony among the members of the community with warm emotion.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

• Korean Association of Arts Management
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• no.49
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• pp.87-115
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• 2019

The impact of "Korean wave" has gradually expanded in recent years, its spread trend can also be seen in the United States, South America, and even in Europe. As the earliest and largest importer of Korean culture, China's importance is self-evident. Based on the results of empirical analysis, and analyze the importance and satisfaction of each element that makes up the four factors(Music, Dance, Style, Story) with IPA method, as well as the impact of its rankings on K-POP fans phenomenon in China. The results of this study are organized as follows. Firstly, according to the analysis results, only 10.5% of the K-POP fans are male, and K-POP fans are generally young, their age mainly concentrates in the first half of the 20th (49.0%). Secondly, among the survey respondents, 65% of the fans have positive comments on the Korean Wave, most of K-POP fans obtain their idols' information through Internet, and 49.5% have consumption behaviors for their favorite idols. Thirdly, it can be seen from the data of survey results that fans attach the greatest attention to the importance and satisfaction of the melody elements in terms of music, and the performance effect in terms of dance, the appearance is chosen as the priority in terms of styling, as for the last factor, topicality, the broadcasting is the first choice. In view of the formation of the phenomenon of K-POP fans among Chinese Korean fans, by conducting the correlation analysis and research on the importance and satisfaction of each factor through data, this study is with great practical significance in academic research, it can be used as practical and meaningful material for the K-POP fans among Chinese Korean fans.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.871-879
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• 2017

The purpose of this study is to propose a Busan tourism industry in which the 2016 OECD Tourism policy and ICT convergence platform are applied. OECD proposed 3 policies to promote the tourism industry: First, to maintain the competitiveness of the tourism industry as well as improve its efficiency and sustainability, second, to establish a seamless traffic system, and third, to build a response to the sharing economy. Centering on the OECD's three policies, we propose the developmental possibilities of tourism in Busan. At the same time, we suggest the necessity to build an ICT convergence platform that will help foster the industry. In building an ICT convergence platform, we especially focus on the necessity of: 1. Sharing and creating experience-based interactive contents on the software side, and 2. Developing high quality user experience (UX) and providing a data analysis-based customized service on the hardware side. In addition, we insist on the establishment of the Tourism Promotion Agency for the continuous performance and management of Busan tourism industry. The study ultimately suggests that the construction of ICT convergence platform based on OECD tourism policy can result in the expected outcomes of high effects with low cost for both consumers and suppliers related to the tourism industry.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.131-132
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• 2003

Leaf discs and apical meristems were cultured in Murashige and Skoog (MS) medium supplemented with cytokinin and auxin at different concentrations. Callus production was observed in all tested media after six days of incubation. Callus produced in the presence of high concentration of NAA (2.0mg/1) was fragile in texture and yellow in colour. Highest callus formation was observed from leaf discs in the medium supplemented with 1.0mg/1 NAA and 0.5 mg/l BAP in dark at $25{\pm}1{\circ}C$. Percentage of callus formation was 95% and mean callus fresh weight was 654.88 43.53 mg. Shoots were induced from the callus after 4 weeks in 1/2MS medium supplemented with BAP and kinetin both at 0.5mg/1. When elongated shoots were separated and transferred into multiplication medium (MS+0.5mg/1 BAP+0.5mg/1 kinetin) multiplication rate was 6.4 after 6 weeks. Higher concentrations of BAP caused callus production at the base. Direct shoot induction was observed from apical meristems in MS medium in the presence of 0.175 mg/1 IAA + 2.25mg/1 BAP and 0.175 mg/1 IAA + 3.0 mg/1 BAP in 16 hour day at $25{\pm}1{\circ}C$. Explants (apical meristems) elongated to form a single shoot forming a callus at the base. Adventitious buds were sprouted out from the base. Percentage explants which producing shoots was 28.57 and 65.5 respectively. Multiple shoot induction was also observed in the same media. Highest multiple shoot production was observed in the presence of 0.175 mg/l IAA and 3.0mg/l BAP, Mean number of shoots per explant was 5.36 and the mean shoot length was $16.66{\pm}4.15$mm. Shoots (20 30m length) were tested for root induction. Excised shoots were transferred into rooting media, which contains different concentrations of NAA and IAA. Best rooting performance was observed in 1/2MS medium supplemented with 0.1mg/1 NAA after 10 days of incubation in 16 hr photoperiod at $25{\pm}1{\circ}C$. Mean number of roots per shoot was 6 and the mean root length was 252mm. Rooted plantlets were transferred into sterile coir dust:sand (1:4) mixture and maintained in a humid chamber for two weeks, They were gradually exposed to the natural environment. After three weeks they were transferred to pots containing coir dust:sand (1:2) mixture for further development where the 90% survival was observed.

• Animal Bioscience
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• v.35 no.9
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• pp.1327-1339
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• 2022

Objective: Fat deposition in poultry is an important factor in production performance and meat quality research. miRNAs also play important roles in regulating adipocyte differentiation process. This study was to investigate the expression patterns of miRNAs in duck adipocytes after differentiation and explore the role of miR-214 in regulating carnitine palmitoyltransferases 2 (CPT2) gene expression during duck adipocyte differentiation. Methods: Successful systems for the isolation, culture, and induction of duck primary fat cells was developed in the experiment. Using Illumina next-generation sequencing, the miRNAs libraries of duck adipocytes were established. miRanda was used to predict differentially expressed (DE) miRNAs and their target genes. The expression patterns of miR-214 and CPT2 during the differentiation were verified by quantitative real-time polymerase chain reaction and western blot. Luciferase reporter assays were used to explore the specific regions of CPT2 targeted by miR-214. We used a miR-214 over-expression strategy in vitro to further investigate its effect on differentiation process and CPT2 gene transcription. Results: There were 481 miRNAs identified in duck adipocytes, included 57 DE miRNA candidates. And the 1,046 targets genes of DE miRNAs were mainly involved in p53 signaling, FoxO signaling, and fatty acid metabolism pathways. miR-214 and CPT2 showed contrasting expression patterns before and after differentiation, and they were selected for further research. The expression of miR-214 was decreased during the first 3 days of duck adipocytes differentiation, and then increased, while the expression of CPT2 increased both in the transcriptional and protein level. The luciferase assay suggested that miR-214 targets the 3'untranslated region of CPT2. Overexpression of miR-214 not only promoted the formation of lipid droplets but also decreased the protein abundance of CPT2. Conclusion: Current study reports the expression profile of miRNAs in duck adipocytes differentiated for 4 days. And miR-214 has been proved to have the regulator potential for fat deposition in duck.

• 지역과문화
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• v.6 no.2
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• pp.1-23
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• 2019

This study identified cooperative governance status and performance and proposed policy implications for the local tourism association, which participated by a variety of stakeholders. This study is a case study and in-depth interview survey was conducted on the staff, members of the local tourism association and local government officers. As a result of the analysis, the community's desire to foster tourism and the county head's leadership influenced the establishment process. It was analyzed that the interests of participants in the local tourism association and the benefits they expected were varied. Members have been unable to participate in the operation of the association and the mutual exchanges of the members have not been active. The leadership and professionalism of the Secretariat has contributed to stabilizing the organization, and it has been shown that it needs to secure self-sustaining power through its own profit projects in the future. The Goryeong Tourism Association serves as a private local tourism promotion organization, carrying out the successful hosting of the festival and attracting tourists. In the future, however, it is necessary to strengthen cooperative networks, autonomous participation of stakeholders and cooperative coordination of interests in relation to the operation of tourism councils as collaborative governance.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.33-43
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• 2024

Purpose:The acute hospital accreditation program launched in South Korea has shown positive effects on safety culture and quality of care. However, relative weights have not yet been investigated for accreditation criteria with a hierarchical structure. This study aimed to derive the relative weights of acute-care hospital accreditation criteria. Methods: We conducted an online survey using the analytic hierarchy process (AHP) technique to assess the validity, importance, and urgency of acute hospital accreditation criteria. The AHP online survey link was distributed in November 2022 after obtaining informed consent from 10 experts in hospital accreditation. Results: 'Basic value system' ranked highest, while 'patient care system' ranked second in terms of validity, importance, and urgency. 'Performance management system' had the lowest validity and urgency, while 'organizational management system' carried the lowest importance. Within the 'patient care system' domain, 'surgery and anesthesia sedation management' scored highest in validity and importance, and 'patient care' scored highest in urgency. 'Care delivery system and evaluation' received the lowest scores for all three aspects. In the 'organizational management system' domain, infection control ranked highest in terms of validity, importance, and urgency. The lowest validity was observed for 'management and organizational operation' and the lowest importance and urgency were noted for 'human resource management'. Conclusion: The weights for validity, importance, and urgency, as shown in each domain and chapter, and the number of measurable elements included, are largely inconsistent. This study will contribute to the development of the structure and scientific improvement of accreditation standards.

• Smart Media Journal
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• v.13 no.1
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• pp.36-44
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• 2024

Metaverse is attracting attention as the development of virtual environment technology and the emergence of untact culture due to the COVID-19 pandemic. In this study, by analyzing users' reviews on the "Zepeto" application, which has recently attracted attention as a metaverse service, we tried to confirm changes in the requirements for the metaverse after the COVID-19 pandemic. To this end, 109,662 reviews of "Zepeto" applications written on the Google Play Store from September 2018 to March 2023 were collected, topics were extracted using LDA topic modeling technique, and topics were analyzed using the Causal Impact technique to examine how topics changed before and after based on "March 11, 2020" when the COVID-19 pandemic was declared. As a result of the analysis, five topics were extracted: application functional problems (topic1), security problems (topic 2), complaints about cryptocurrency (Zem) in the application (topic 3), application performance (topic 4), and personal information-related problems (topic 5). Among them, it was confirmed that security problems (topic 2) were most affected by the COVID-19 pandemic.