• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.264-270
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• 2019

The purpose of this study is to examine the change of study crafting and nursing recognition after applying a documentary form of education to nursing students, and also to confirm the nursing students' satisfaction with the documentary style of education. The subjects of the study were 84 nursing students in their first year in the B area. The data collection period ran from March 11, 2019 to April 15, 2019. The collected data was analyzed using frequencies, percentages, means, standard deviations and paired t-test by employing the SPSS WIN 24.0 computer program. The program consisted of four parts and was operated for 3 hours and 30 minutes, and three domestic documentaries were applied. The study crafting of nursing students increased after the education but there was no statistical significance for this. The nursing recognition was significant (t=-4.49, p<.001) In detail, traditional image, social image and nursing prospect were significant (t=-2.13, p=.036; t=-5.09, p<.001; t=-4.17, p=<.001). Satisfaction with the use of documentaries averaged 4.54 points, as detailed items, the satisfaction with the learning method was 4.54, the satisfaction with the contents of the education was 4.62 points, the benefit was 4.56, the interest was 4.44 and the interest induction was 4.55 points. This study showed that documentaries could be used as a teaching and learning method because the documentaries had a positive effect on nursing students' recognition of nursing and satisfaction of education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.295-302
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• 2019

This study was conducted to investigate the effects of adolescent health behavior on obesity using an online health behavior survey. The subjects of this study were 12,090 middle school students and 14,248 high school students among 26,338 Korean youths that responded to an online survey of youth health behaviors in 2018 (14th). There were significant differences in lifestyle, mental factors, exercise habits, and sitting habits as health behavior factors. The risk of obesity was higher in smokers (p<0.001), drinkers (p<0.001), those who ate breakfast less than four times a week (p<0.001), those who consumed fruit less than four times a week (p<0.001) and those who ate fast food less than two times a week (p<0.001). The obesity rate was higher in people with high-stress (p<0.05). Exercise habit as a factor was higher in the obesity rate than in physical activity by three times as much (p<0.001), whereas students categorized as muscular (p<0.01) had one to two times more physical activity (p<0.001). Students who had less than six hours of learning purpose were found to have higher obesity rates than those with more than six hours of learning purpose (p<0.001). In conclusion, the obesity rate did not increase with prolonged sitting habits, but did increase with longer sitting time except for those who studied purpose folly. Therefore, it is necessary to have a set time for internet use, as well as to educate schools about proper lifestyle, and to promote healthy exercise habits.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.218-227
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• 2019

The term practical means that you actually use what you learn. Unlike that meaning, however, the curriculum is operated by specific majors of some professors. And we can be seen in many colleges. Jazz is a prime example. Jazz is a genre only for some maniacs and there is not much places to play on the pop scene. But this genre is now packaged as representative studies of practical music. This affects even cram schools, preparing for college entrance exams, while high school students are also learning, playing and preparing Jazz to take the exams. Of course, Jazz is a field of music, but it is a very sad reality, considering it can never be the mainstream of popular music. It has been 20 years since the department of practical music was established at a four-year university. The number of graduates will also be very large. Now that the role of a university is related to employment, it's time to look at how the graduates are getting jobs and whether they are working in music. And it will also be important to ensure that the curriculum of the department is reasonably managed to connect with employment in reality. Practical learning will be not only respond immediately to market changes but establishment and operation of education courses should be carried out accordingly. In this study, we will discuss curriculum of vocal at universities, concrete examples of operations, and reasonable vocal courses that can be connected to employment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.115-121
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• 2022

As city environments have recently become crowded, there are many obstacles that interfere with the walking of the visually impaired on pedestrian roads. Typical examples include ballads, parking breakers and standing signs, which usually do not get in the way, but blind people may be injured by collisions. To solve such a problem, many solutions have been proposed, but they are limited in applied in practical environments due to the several restrictions such as outside use only, inaccurate obstacle sensing and requirement of special devices. In this paper, we propose a new method to automatically detect obstacles while walking on the pedestrian roads and warn the collision risk in advance by using only sensors embedded in typical mobile phones. The proposed method supports the walking of the visually impaired by notifying the type of obstacles appearing in front of them as well as the distance remaining from the obstacles. To accomplish this goal, we utilized an object recognition technology applying the latest deep learning algorithms in order to identify the obstacles appeared in real-time videos. In addition, we also calculate the distance to the obstacles using the number of steps and the pedestrian's stride. Compared to the existing walking support technologies for the visually impaired, our proposed method ensures efficient and safe walking with only simple devices regardless of the places.

• Journal of Korea Trade
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• v.24 no.6
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• pp.135-156
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• 2020

Purpose - This study investigates whether the internationalization process of traditional industry firms can be categorized as born global, early internationalization, or gradual internationalization, and examines what factors promote internationalization in traditional industries using a case study of two firms, one each in China and Korea. Design/methodology - This study elects to use case study methodology to determine the "how" and "why" of internationalization process of traditional industry firms. Taking into consideration that factors that impact the internationalization process of firms are diverse and unclear in terms of causality, this study utilizes exploratory case study methodology. This research performs a comparative two-case study of two firms in traditional industries, one each in China and Korea, to examine similarities and differences of study subjects in order to improve the validity and suitability of research results. Findings - The findings of this research are as follows: First, traditional industries are more likely go through early and rapid internationalization rather than being born global; born globals are far more likely to appear in high tech industries. Second, the internationalization process of companies that go through early and rapid internationalization differs from what is indicated by traditional internationalization theories, and are not limited by factors like psychological distance and lack of experiential knowledge. Third, international entrepreneurship, international market orientation, and imitation and learning are important internal driving factors for early and rapid internationalization. Fourth, conditions within the domestic market, policy support from the government, and pilot effect from industry leaders are external driving factors for early and rapid internationalization. Originality/value - This study shows that the internationalization process of traditional industry firms is more likely to be early and rapid internationalization rather than being born global and suggests answers to why this may be the case. In addition, through an examination of case studies, it reveals that the internationalization process of traditional industry firms that undergo early and rapid internationalization is different from traditional internationalization theory, in that they are not limited by the lack of psychological proximity and empirical knowledge, and are driven by international entrepreneurship, international market orientation, imitation and learning, competitive pressure within the domestic market, government's policy support, and the pilot effect of industry leaders. Therefore, this study contributes to literature by expanding the scope of application of born global theory to traditional industries, making born global theory more generalizable and identifying driving factors to internationalization of traditional industry firms.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.371-380
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• 2023

Relation extraction is to extract relationships between named entities from text. Traditionally, relation extraction methods only extract relations between predetermined subject and object entities. However, in end-to-end relation extraction, all possible relations must be extracted by considering the positions of the subject and object for each pair of entities, and so this method uses time and resources inefficiently. To alleviate this problem, this paper proposes a method that sets directions based on the positions of the subject and object, and extracts relations according to the directions. The proposed method utilizes existing relation extraction data to generate direction labels indicating the direction in which the subject points to the object in the sentence, adds entity position tokens and entity type to sentences to predict the directions using a pre-trained language model (KLUE-RoBERTa-base, RoBERTa-base), and generates representations of subject and object entities through probabilistic crossover operation. Then, we make use of these representations to extract relations. Experimental results show that the proposed model performs about 3 ~ 4%p better than a method for predicting integrated labels. In addition, when learning Korean and English data using the proposed model, the performance was 1.7%p higher in English than in Korean due to the number of data and language disorder and the values of the parameters that produce the best performance were different. By excluding the number of directional cases, the proposed model can reduce the waste of resources in end-to-end relation extraction.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.41-52
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• 2022

Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.

• 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.

• The Journal of Bigdata
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• v.7 no.1
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• pp.173-185
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• 2022

Nowadays, Korean webtoons are leading the global digital comic market. Webtoons are being serviced in various languages around the world, and dramas or movies produced with Webtoons' IP (Intellectual Property Rights) have become a big hit, and more and more webtoons are being visualized. However, with the success of these webtoons, the working environment of webtoon creators is emerging as an important issue. According to the 2021 Cartoon User Survey, webtoon creators spend 10.5 hours a day on creative activities on average. Creators have to draw large amount of pictures every week, and competition among webtoons is getting fiercer, and the amount of paintings that creators have to draw per episode is increasing. Therefore, this study proposes to generate webtoon background images using deep learning algorithms and use them for webtoon production. The main character in webtoon is an area that needs much of the originality of the creator, but the background picture is relatively repetitive and does not require originality, so it can be useful for webtoon production if it can create a background picture similar to the creator's drawing style. Background generation uses CycleGAN, which shows good performance in image-to-image translation, and CartoonGAN, which is specialized in the Cartoon style image generation. This deep learning-based image generation is expected to shorten the working hours of creators in an excessive work environment and contribute to the convergence of webtoons and technologies.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.265-275
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• 2019

The purpose of this study was to analysis of the changes of the white noise on the change of the writing ability and hand function of the children with the intellectual disabilities and then provide the basic information about that. The subjects was 12 children with intellectual disabilities. White noise was applied to analyze the subjects' writing ability and hand function before and after application. The provision of the white noise was continuous and uniform through the white noise generator. The analysis of the writing ability was performed by using the KNISE-BAAT assessment and the writing, vocabulary and composing ability were evaluated for the writing ability of the subjects. Also, the analysis of the hand function was performed by using the pegboard sub-item of the Manual Function Test. The results of the writing ability showed the statistically significant increase of the writing and vocabulary ability, but in the case of the composing ability, there was no statistically significant increase in the composing ability. Also, the results of the hand function showed the statistically significant increase in the both hands. The use of the white noise should be considered as a compensatory approach to improve the writing ability and hand function of the children with intellectual disabilities. Also, in order to improve the level of the performance, learning level, and academic achievement of the children of the intellectual disabilities, the application of the white noise in the living and learning environment should be needed to consider.