• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.17-23
• /
• 2023

This study purports to explore the landscape of welfare attitudes of young generation of Korea in their 20s and 30s focusing upon potential differences from those of older generations. Korea has recently been in the significant debate on pension reform and the disadvantages of relatively young generations has been on of the most crucial issues during the reform. Survey data from 17th Korean Welfare Panel are analyzed and such variable as attitudes toward government expenditure on public pension, health care, old age support, poverty, family and child care and so on. In addition, welfare-related variables such as universalism vs selectivism, tax increase for welfare expenditure, and political orientation are to be analyzed. The results show several findings. First of all, correspondence analysis shows that young generation in Korea are strongly associated with higher education and full time employment compared to older generations. Secondly, the most interested welfare issues of young generations are housing and child support. Moreover, young generations' attitudes toward government expenditure increase differ from those of older generations on the issues of public pension, housing, and family and child support. Lastly, political orientation of those young generation tend to be progressive and they support universalism in welfare policy, but they do not support tax increase for welfare purpose, which, I would say, is inconsistent.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.301-307
• /
• 2023

Deep learning requires building a deep neural network, collecting a large amount of training data, and then training the built neural network for a long time. If training does not proceed properly or overfitting occurs, training will fail. When using deep learning tools that have been developed so far, it takes a lot of time to collect training data and learn. However, due to the rapid advent of the mobile environment and the increase in sensor data, the demand for real-time deep learning technology that can dramatically reduce the time required for neural network learning is rapidly increasing. In this study, a real-time deep learning system was implemented using an Arduino system equipped with a fine dust sensor. In the implemented system, fine dust data is measured every 30 seconds, and when up to 120 are accumulated, learning is performed using the previously accumulated data and the newly accumulated data as a dataset. The neural network for learning was composed of one input layer, one hidden layer, and one output. To evaluate the performance of the implemented system, learning time and root mean square error (RMSE) were measured. As a result of the experiment, the average learning error was 0.04053796, and the average learning time of one epoch was about 3,447 seconds.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.1097-1101
• /
• 2023

As paprika plants grew in a glass greenhouse from November 2022 to March 2023, the amount of light at each plant height, leaf temperature, transpiration rate, and water vapor pressure were measured. Accumulated leaf temperature was higher at the top of the plant than at the bottom. Over time, the leaf temperature measured around 11-13 AM changed from 26.55→23.21→22.80→26.67℃ in the lower part (pL), and from 26.52→24.48→24.55→27.78℃ in the upper part (pAs). And VPD changed from 1.45→0.94→0.74→1.46kPa in pL and from 1.11→0.86→0.71→1.28kPa in pAs. Accordingly, the transpiration rate changed from 4.25→0.17→4.08→0.52mmol·m^-2·s^-1 in pL, 7.61→2.45→1.94→4.39→0.52mmol·m^-2·s^-1 in pAs, and from pAs to pL. It was significantly higher than The difference between the lower and upper parts (pL-pAs) was higher in pAs than pL in leaf temperature, light intensity, and transpiration rate, but the water vapor pressure difference was higher in pL. In this way, paprika shows differences in the environment and photosynthetic factors between the upper and lower parts during the cultivation period, so it is judged that this needs to be taken into consideration in future research.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.83-90
• /
• 2023

The recent trend in younger generations of wearing traditional costumes or incorporating fusion hanbok into daily wear necessitates the development of modern hair accessories to complement hanbok. The purpose of this study is to develop practical and modern hair accessory designs inspired by royal women's hair ornaments that complement hanbok, and therefore expand the scope of fashion content development utilizing hanbok culture as well as meeting the demand for various experiences of traditional culture. This research studied the literature on traditional hairstyles and accessories of Queen Yeong and constructed models of these accessories for the purpose of empirical research. The production process first required creating a basic foundation of nylon mesh reflecting the silhouette of a traditional hairstyle, and then grafting a digital textile printed fabric using majestic and extravagant royal relics on top, thus employing the trompe l'oeil technique to ultimately give the impression of wearing traditional jewelry. As a result, a total of six hair accessory designs were completed, produced with hairbands, hair pins, and hair ties. In addition, the accessories are designed to be easily worn regardless of the wearer's hair style, and the stiff yet flexible nylon mesh effectively expresses the shape of a voluminous hairstyle and creates an optical illusion, blending into the hair. These research results present a unique aesthetic and cultural experience to the greater public seeking both daily entertainment and value from rarity.

• Journal of Industrial Convergence
• /
• v.21 no.9
• /
• pp.11-21
• /
• 2023

There have been many studies to improve the efficiency of the CG production process, but it was not easy to overcome the problem that it was difficult to check the result in the middle of work and it took a lot of time for rendering. However, as the possibility of using Unreal Live Link, which can check the result in real-time, is increasing, expectations for improving the efficiency of the production process are rising. This study analyzed the efficiency of the 3D animation production process using Unreal Live Link. To this end, modeling, rigging, animation, and layout work were done in Maya, and the final output image sequence was rendered in Unreal Engine through Unreal Live Link. And the difference between this production process and the existing production process in which the final output image sequence is rendered in the 3D software itself was compared and analyzed. As a result of the analysis, unlike the traditional 3D animation production process, it was possible to check the final work result in real-time by proceeding with the work through a high-quality viewport screen, and it was found that the efficiency of work was maximized by deriving the final result through real-time screen capture. Recently, the use of game engines in the 3D animation and film industry is gradually increasing, and the efficiency of work is expected to be maximized if Unreal Live Link is used.

• Journal of Industrial Convergence
• /
• v.22 no.6
• /
• pp.51-59
• /
• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• Research in Plant Disease
• /
• v.29 no.4
• /
• pp.459-463
• /
• 2023

This study was conducted to investigate the plant-parasitic nematodes of ornamental foliage plants, citrus orchards, and tea plantations from July to December 2022. As a result of the investigation of plant-parasitic nematodes in 415 foliage plants, root-lesion nematodes were detected most frequently, followed by root-knot nematodes, pin nematodes, and other nematodes. In tea plantations, spiral nematodes, cyst nematodes, and root-knot nematodes were detected. Citrus nematodes, ring nematodes, and root-knot nematodes were discovered in citrus orchards. In foliage plants, tea plantations, and citrus orchards, the detection rate of plant-parasitic nematodes was not high, but root-lesion nematodes were detected. Therefore, it is necessary to apply appropriate control methods to manage root-lesion nematodes during the cultivation of foliage, tea, and citrus plants.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.2
• /
• pp.343-348
• /
• 2024

Today, AI image creation programs are optimized for various and specialized purposes such as fashion product advertising, customized fashion style suggestions, and design development, and are actively utilized in the fashion industry. Meanwhile, color is a powerful formative element and plays an important role in expressing images for suggesting products or fashion styles. This study seeks to expand understanding of the use of Midjourney by identifying the characteristics of color combinations that appear in clothing images created using Midjourney among AI image creation tools. The results of this study are as follows. First, the initial image created in Midjourney reflects the existing image color used to create the image more than the color specified in the command. Second, the color combinations that appear in the clothes of the images created in Midjourney are divided into separate and mixed colors. The ratio of colors expressed in a separate color scheme is affected by the color order specified in the command. The number of colors combined in a mixed color scheme appears as a combination of fewer colors than the total number of colors of clothing in the existing image used to create the image in Midjourney and the number of colors specified in the command. Third, caution is needed because changes in background color can affect the user's color perception of the clothes in the image and the formation of the costume image. It is hoped that the results of this study will be helpful in fashion design education and practice.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.6
• /
• pp.1547-1556
• /
• 2023

This study was conducted to check the anti-bacterial ability against Malassezia furfur by mixing Szygium aromaticum and Coptis japonica extracts and to evaluate the antioxidant and anti-inflammatory ability by creating an optimal mixture. Szygium aromaticum and Coptis japonica were extracted with 70% ethanol, 100% methanol, and water to evaluate the antibacterial ability, and it was confirmed that 100% methanol extract of Szygium aromaticum and Coptis japonica water extract had the highest anti-bacterial ability. In addition, when the two extracts were mixed and the anti-bacterial ability was evaluated by ratio, the ratio of 9:1 showed the best activity, and it was confirmed that the antioxidant activity of the mixture was excellent. In Raw 264.7 cells, LPS was used to induce inflammatory responses and confirmed anti-inflammatory activity at 1, 10, 50, and 100 ㎍/mL that did not affect survival, and it was confirmed that NO-production inhibition and IL-6 expression inhibition and COX2 and iNOS protein expression inhibition activity were excellent at 10, 50, and 100 ㎍/mL. Through this study, it is thought that the mixture of Szygium aromaticum100% methanol extract and Coptis japonica water extract can be used as a natural ingredient in functional cosmetics because of its excellent antibacterial and anti-inflammatory effects.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.1
• /
• pp.207-212
• /
• 2024

The importance of hydrogen fuel cells continues to be emphasized, and there is a growing demand for education and training in this field. Among various educational environments, metaverse education is opening a new era of change in the global education industry, especially to adapt to remote learning. The most significant change that the metaverse has brought to education is the shift from one-way, instructor-centered, and static teaching approaches to multi-directional and dynamic ones. It is expected that the metaverse can be effectively utilized in hydrogen fuel cell engineer education, not only enhancing the effectiveness of education by enabling learning and training anytime, anywhere but also reducing costs associated with engineering education.In this research, inspired by these ideas, we are designing a fuel cell education platform. We have created a platform that combines theoretical and practical training using the metaverse. Key aspects of this research include the development of educational training content to increase learner engagement, the configuration of user interfaces for improved usability, the creation of environments for interacting with objects in the virtual world, and support for convergence services in the form of digital twins.