• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.189-198
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• 2019

This study aims to make meaning of the reactions of the Korean people through the text mining of comments on videos of the December 2018 MMA performance of intro on YouTube. For this, comments on 15 YouTube videos were collected over the past 10 months. With the collected data, a total of 5,135 comments were analyzed through crawling using the Python and BeautifulSoup programs, data was refined over a total of 3 sessions, and a final total of 5,080 comments were used as analysis material. A mining technique was used for data analysis and the process of refinement, analysis, and visualization was achieved using the Textom program. Research results showed that keyword analysis showed the keywords of 'performance', 'Korea', 'video', 'top', 'cool', 'dance', 'idol', 'legend', 'love', and 'gratitude' in that order and keywords such as 'patriotism' and 'Olympics' also appeared frequently. N-gram analysis showed that comments with contexts such as 'a top performance that will remain a legend among Korean idol performances', and 'an idol performance that displayed the traditional culture of Korea' were in higher ranks. Based on such keyword analysis results, topic modeling was applied and 5 top keywords were extracted from a total of 5 topics. Analysis results of topic contents and distribution showed that topics in the comments of this performance's videos largely consisted of the 3 reactions of 'high praise regarding the stage performance', 'affection towards the fusion and artistic sublimation of Korean traditional dance', and 'gratitude towards the uploading of cool dance videos'

• Health Policy and Management
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• v.33 no.3
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• pp.355-362
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• 2023

Background: Financial efficiency in monetary units and operational efficiency in non-monetary units are separately classified and evaluated. This is done to prevent the duplication of monetary units and non-monetary units in inputs and outputs. In addition, analyses are conducted to determine the factors that affect each aspect of efficiency. To prevent duplication of monetary and non-monetary units in inputs and outputs, financial efficiency, consisting of monetary units, and operational efficiency, comprising non-monetary units, are separately classified and evaluated. Furthermore, an analysis is conducted to identify the factors that affect each aspect of efficiency. Methods: This study conducted a panel analysis of 34 regional public hospitals and influencing factors on efficiency for 5 years from 2015 to 2019. Financial efficiency and operational efficiency were calculated through data envelopment analysis. Moreover, multiple regression analysis was conducted to identify the factors that influence both financial efficiency and operational efficiency. Results: The factors that affect financial efficiency include the number of medical institutions within the treatment area and the ratio of patients receiving medical care. Additionally, operational efficiency is influenced by the type of medical institution, the number of medical institutions within the treatment area, and the number of nursing positions per 100 beds. Conclusion: In order for regional public hospitals to faithfully fulfill their functions and roles as regional base public hospitals, several measures are necessary. Firstly, continuous monitoring and reasonable support are required to ensure efficient operation and performance. Secondly, a financial support plan tailored to the characteristics of local medical centers is needed. Additionally, local medical centers should strive to enhance their own efficiency.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.97-105
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• 2023

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.39-45
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• 2024

Container volume is a very important factor in accurate evaluation of port performance, and accurate prediction of effective port development and operation strategies is essential. However, it is difficult to improve the accuracy of container volume prediction due to rapid changes in the marine industry. To solve this problem, it is necessary to analyze the impact on port performance using the Internet of Things (IoT) and apply it to improve the competitiveness and efficiency of Busan Port. Therefore, this study aims to develop a prediction model for predicting the future container volume of Busan Port, and through this, focuses on improving port productivity and making improved decision-making by port management agencies. In order to predict port container volume, this study introduced the Extreme Gradient Boosting (XGBoost) technique of a machine learning model. XGBoost stands out of its higher accuracy, faster learning and prediction than other algorithms, preventing overfitting, along with providing Feature Importance. Especially, XGBoost can be used directly for regression predictive modelling, which helps improve the accuracy of the volume prediction model presented in previous studies. Through this, this study can accurately and reliably predict container volume by the proposed method with a 4.3% MAPE (Mean absolute percentage error) value, highlighting its high forecasting accuracy. It is believed that the accuracy of Busan container volume can be increased through the methodology presented in this study.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.661-667
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• 2023

Five commercially available edible sweeteners are used as diet products because they can replace sucrose. In studies on the effects on animals and the human body, stability has been proven by excreting-oriented studies with characteristics of animal cells, and accumulation in small amounts has been ignored. On the other hand, plants can absorb, degrade, and accumulate foreign substances, so the effect of degradability and accumulation potential can be studied using plants. Metabolic effects in plants of commercially available saccharin and acesulfame potassium (Ace K) were tested using germinated barley and bean sprouts. In germinated barley and bean sprouts, saccharin and ace K showed inhibitory effects on plant growth in all organs from low concentrations in leaves, stems and roots. In addition, it can be observed that the symptoms of death appear clearly over time, so it can be seen that they are accumulated in the body of the plant. As the accumulated amount increases, the toxic effect increases and the plant reaches a state where it is unable to metabolize, turning black from the tip of the leaf and reaching a state of death. In order to remove the accumulated artificial sweetener, recovery was attempted by culturing in distilled water, but it acts as a substance that is not degraded and dies without avoiding toxicity. Saccharin and ace K cannot be excreted from the cell. Its toxic effects are thought to be persistent, inhibiting growth and eventually leading to cell death.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.563-568
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• 2023

The government's strengthening of the standards for mentally ill patients and expanding the scope of examinations to the entire nation reflects the changing times. According to the OECD's announcement (2021), the incidence of depression and anxiety has more than doubled since the prolonged COVID-19 pandemic in countries around the world, with Korea's prevalence ranking first. However, only 12.1% of those who have been diagnosed with mental disorders received counseling and treatment from experts. The difference between depression and simple depression is significant depending on whether it is medically treated or temporary, but it can be seen that the continuation of depression is depression. In order to reduce this depression, Kandinsky's work was visualized and created. In a study conducted by changing the playback speed of the produced Kandinsky image, beta and gamma values, which showed the largest deviation when compared to depressive patients and normal people, increased significantly when viewed at 90fps, which was most effective in relieving depression. Artistic creations are bound to be accepted differently depending on the individual's perspective, but it is hoped that research that can improve the phenomenon of individuals suffering from depression by integrating artificial intelligence and traditional mental health approaches will be further developed and widely used for treatment.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.837-842
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• 2023

This study analyzed the awareness and actual condition on metaverse utilization in education for design major students. An online survey was conducted for 14 days from May 10 to 23, 2023, targeting 120 students majoring in design at D University. The evaluation method of the questionnaire was a nominal scale and a 5-point scale, and the questionnaire results were analyzed through SPSS 29.0. First, it is necessary to sufficiently share the advantages of metaverse utilization in education with students, and to provide basic literacy programs utilizing the characteristics of metaverse and supporting class activities. Second, students' response will be higher in studio classes where practical training is conducted rather than information delivery or understanding-oriented lectures. Third, in order for the metaverse to become a means of education in the digital transformation era rather than just a temporarily medium in COVID-19 era, specific and systematic design education programs reflecting the characteristics of the metaverse need to be continuously developed. In addition, it is important for instructors to actively review the use of the metaverse and search for various ways to utilize it.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.57-63
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• 2023

The purpose of this paper is to analyze the aspects of hybrid warfare and show the limits of jus in bello, a principle that evaluates the moral responsibility of the agents. As a theory of the morality of war presented in traditional warfare, the just war theory has been widely accepted. In particular, jus in bello offers the criteria of moral legitimacy regarding the actions of individuals participating in or involved in war. However, hybrid warfare, in which various aspects of warfare operate in a complex way, has obvious differences compared to traditional warfare, and this difference causes difficulties in determining the moral evaluation and attribution of responsibility for actions in war. In order to appropriately resolve the moral problems arising from hybrid warfare, it is necessary to clarify what the limitations of existing moral justification theories are. To this end, in this paper, we will first present a conceptual understanding of hybrid warfare, specify the differences from traditional warfare, and then show the limits of its application in hybrid warfare in light of the three principles that compose jus in bello.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.335-342
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• 2023

This study was attempted to confirm the effects of learning flow, academic stress, and resilience on self-efficacy in college students. This study targeted 304 university students in B and G cities. Data analysis was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using the SPSS 22.0 program. The average self-efficacy of the subjects was 3.14±0.62 points, and the difference in self-efficacy according to general characteristics was significant in gender(t=-2.533, p=.012) and satisfaction with major(F=5.687, p=.004). Self-efficacy of the subjects was positive correlation with learning flow(r=.574, p<.001), resilience(r=.525, p<.001), and negative correlation with academic stress(r=-.262, p<.001). Resilience of the subjects showed positive correlation with learning flow(r=.325, p<.001) and negative correlation with academic stress(r=-.291, p<.001). Learning flow showed negative correlation with academic stress(r=-.211, p<.001). Factors influencing the self-efficacy of the subjects were identified as academic commitment (β=.442, p<.001) and resilience (β=.363, p<.001) and the explanatory power was 45.6%. Therefore, in order to improve college students' self-efficacy, it is necessary to develop and apply education and programs that can improve learning flow and resilience.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.343-348
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• 2023

This study attempted to verify and examine the effect of screen golf course service quality on reuse. A total of 300 copies were distributed, and a total of 247 copies were used for analysis, excluding 53 questionnaires with poor responses or many missing questions. Based on these results, the following implications were derived. First, screen golf course users were mainly used by friends, acquaintances, and social groups, and information was obtained through human and Internet, and empathy and reliability among service quality affected the reuse of screen golf courses. When users experience high-quality services, they have high satisfaction and high service quality, and they can increase the probability of forming loyalty and recommending and promoting them to people around them. However, experiencing poor quality services can disappoint customers and leave negative comments on people around them, which reduces the likelihood of reuse. Therefore, in order to increase the reuse of golf courses, quality management, customer opinions and feedback must be accepted, and problems must be dealt with quickly to improve the quality of services and provide services that satisfy customers. Second, although the types, responsiveness, and certainty of sub-factors of screen golf course service quality were not significant in this study, management strategies should be used to increase survival in the highly competitive screen golf industry and reuse them by providing differentiated services.