• Journal of Appropriate Technology
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• v.7 no.1
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• pp.85-92
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• 2021

The research topics of the appropriate technology include environment, medical, education, and energy etc. Therefore, having a review on appropriate technology requires huge efforts of specialists from many difference research areas. Social network analysis has been applied to understand the relationships among the components in the network and to provide insights by visualizing the huge network having many components. In this study, the co-authors and their research topics at the international conference on appropriate technology (ICAT) held by Academic Society for Appropriate Technology (ASAT) from 2017 to 2019 were analyzed using the statistical and visualization tools. The networks between co-authors were analyzed using the pretreated data which were collected from ASAT. The annual trend or characteristics of the general information on ICAT were also analyzed.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.3
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• pp.59-68
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• 2021

Purpose : The purpose of this study was to investigate the lecture method and physical activity level of Korean university students during the COVID-19 pandemic to determine their effect on the students' mental health, self-efficacy, and learning motivation. Methods : A total of 203 participants (53 male, 150 female) completed the study. An online survey was distributed through a social media platform between March 24 and April 7, 2021. Participants completed the international physical activity questionnaire-short form (IPAQ-SF), COVID-19 stress scale for Korean people (CSSK), the Korean version of the general health questionnaire (KGHQ-30), and self-efficacy and learning motivation scales. Results : Among the general characteristics of the study subjects, there were statistically significant differences in the IPAQ-SF, CSSK, KGHQ, self-efficacy, and learning motivation measures by sex. There were no significant differences in the degree of IPAQ-SF, CSSK, KGHQ, self-efficacy, and learning motivation among any of the lecture method and university area groups. The level of physical activity corresponded with significant differences in KGHQ, self-efficacy, and learning motivation, excluding CSSK. There was a statistically significant positive correlation between IPAQ and self-efficacy (r=.273, p<.001), IPAQ-SF and learning motivation (r=.201, p<.01), CSSK and KGHQ (r=.271, p<.001), self-efficacy and learning motivation measures (r=.506, p<.001). There was a statistically significant negative correlation between IPAQ-SF and KGHQ (r=-.203, p<.01) and between KGHQ and self-efficacy (r=-.558, p<.001). Conclusion : CSSK and KGHQ measures were significantly higher in female students than in male students. Therefore, it is important to consider sex as a protective factor in the mental health management of university students in the context of an infectious disease pandemic. The results of this study suggest that university students should continue to engage in physical activities, even during a pandemic, and that it is necessary to prepare health management to improve mental health in such situations.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.23-29
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• 2021

Recently, a situation in which a specific content service is impossible worldwide has occurred due to a failure of the platform service and a significant social and economic problem has been caused in the global service market. In order to secure the stability of platform services, intelligent platform operation management is required. In this study, big data flow management(BDFM) and implementation method were proposed to quickly detect to abnormal service status in the platform operation environment. As a result of analyzing, BDFM technique improved the characteristics of abnormal failure detection by more than 30% compared to the traditional NMS. The big data flow management method has the advantage of being able to quickly detect platform system failures and abnormal service conditions, and it is expected that when connected with AI-based technology, platform management is performed intelligently and the ability to prevent and preserve failures can be greatly improved.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.149-159
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• 2021

This study wanted to analyze the types of recognition of messages expressed in clothing for women in their 20s who wear a lot of clothing and fashion products with text. It was intended to provide basic data necessary for the production of typography clothing and fashion products by considering the subjective evaluation of how women in their 20s type the characters expressed in fashion and the characteristics of each type. This study was conducted with the Q method, and the QUANL pc program was used for analysis. Type I thought that letters were a design element and fashion, and the characters expressed in clothes were recognized as images. Type 2 thought it was important that the characters expressed in the clothing were recognized as messages, and that the characters had social messages and period reflections. Type 3 preferred that letters be combined with casual clothes and valued the formability of the characters. Type 4 preferred characters to represent brands and liked to be placed in large positions. In the future, it is thought that additional research by various age groups and genders and detailed research should be conducted to identify differences in font, color, and sentence length.

• Journal of Korean Medical classics
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• v.34 no.3
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• pp.125-145
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• 2021

Objectives : To examine the meaning of 'geuk(極)' and 'geuk(克)' of Cheon-gi and Insa respectively, for better translation of the contents and to understand the structure of the Donguisusebowon cosmology. Methods : The meanings of the characters '極' and '克' based on examples in the Daxue were examined together with content-related books such as the Shujing and the Shijing. Related concepts such as Taiji and Huangji were investigated as well. Results & Conclusions : Through investigation of the character usages and contexts in the Daxue, the archetypes of the two characters '極' and '克' were discovered. Based on these findings, the characteristics of Cheon-gi and Insa were thoroughly studied, which enabled better understanding of the structure of the world view that has been created by their integration. 'Geuk(極)' refers to Cheon-gi as the open world wherein all beings of different horizons are connected through a common principle. 'Geuk(克)' refers to Insa as an individual world that could be fully established by manifestation of one's moral abilities that lie within everybody. The two worlds integrate with each other, becoming two poles of the world humans belong to, while the human heart, in correspondence to these two worlds, create two poles within themselves, of which one pursues the public world while the other rejects the personal.

• Journal of People, Plants, and Environment
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• v.24 no.2
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• pp.229-244
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• 2021

Background and objective: The purpose of this study was to comprehensively analyze the user behavior in order to cope appropriately with the increasing demand for mountain usage of those in their 20s and 30s and to allocate resources efficiently. Methods: To analyze the behavior of mountain hiking users, an exploratory data analysis (EDA) was conducted on the data which had been collected in the app Tranggle. The main target are users in their 20s and 30s who visited the mountains in the metropolitan area in 2019-2020. Among them, we have selected data on the top 13 mountains based on the frequency of visits. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. Results: Compared to 2019, the number of users in 2020 increased 1.36 times. The utilization rate of the well-established hiking trails has also increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage between the days of the week decreased. Outside of work hours, early morning usage has increased and night-time usage has decreased. There was no significant change in usages depending on activity type, level (experience point) and exercise properties. Conclusion: Since the COVID-19 outbreak, the usage of mountains has been changing towards low user density and short-distance trip. in the post-COVID-19 era, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.436-449
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• 2021

The purpose of this study is to examine the characteristics of the Reformation Calvin undertook in Geneva and see what efficient functions Christianity can afford to reveal its value in urban settings today. Calvin's Reformation provided a clear place and role for the Church in the public domain. In addition, Calvin's process of religious reform has always been followed by interest and welfare practices for the socially disadvantaged, such as the poor and women. In this understanding, the study presented the following applications that modern churches can practice in urban settings today: First, the church should be able to clearly understand the diversity, liquidity, and dynamics of the urban environment and make changes through various situational applications supported by the Bible. Second, the church's missional approach should shift from a believing-belonging process to a sense of belonging-believing. Third, the transition from a familiar traditional church to a new social reality is necessary, and efforts are needed to clearly understand the interests and atmosphere of community communities and keep pace with them. And finally, modern churches need to maintain new ecological sensitivity than ever before.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.135-142
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• 2022

Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing traditional methods in various fields. Meanwhile in Korea, heavy rain is one of the representative factors of natural disasters that cause enormous economic damage and casualties every year. Accurate prediction of heavy rainfall over the Korean peninsula is very difficult due to its geographical features, located between the Eurasian continent and the Pacific Ocean at mid-latitude, and the influence of the summer monsoon. In order to deal with such problems, the Korea Meteorological Administration operates various state-of-the-art observation equipment and a newly developed global atmospheric model system. Nevertheless, for precipitation nowcasting, the use of a separate system based on the extrapolation method is required due to the intrinsic characteristics associated with the operation of numerical weather prediction models. The predictability of existing precipitation nowcasting is reliable in the early stage of forecasting but decreases sharply as forecast lead time increases. At this point, AI technologies to deal with spatio-temporal features of data are expected to greatly contribute to overcoming the limitations of existing precipitation nowcasting systems. Thus, in this project the dataset required to develop, train, and verify deep learning-based precipitation nowcasting models has been constructed in a regularized form. The dataset not only provides various variables obtained from multiple sources, but also coincides with each other in spatio-temporal specifications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.101-107
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• 2023

The purpose of this study is to research and develop the concepts and functions of the Metabus dog fashion show. Currently, as the pet-related industry grows rapidly, the pet fashion industry is also naturally growing. However, unlike the fast-growing fashion industry, it was not enough to meet the needs of dog owners. Therefore, this study attempted to develop a metaverse dog fashion show by supplementing the problems that arise when purchasing existing pet clothes through metaverse. As a research method, first, a survey was conducted on the rise in the actual pet-related industry and the social trends of metaverse and virtual fashion shows. Second, the existing dog clothing purchase characteristics were examined through user demand analysis, and user needs were derived. Third, the appropriate form of content was established, and a new content consumption environment called metaverse was analyzed and derived. Finally, functions were derived and developed to give users satisfaction. In the future, it is necessary to study a clear payment system in connection with the actual dog clothing business based on this.

• The Korean Journal of Food And Nutrition
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• v.35 no.6
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• pp.481-490
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• 2022

The influence of the food value consumption type of MZ generation on food choice attribute and sustainable food consumption behavior was studied using structural equation modeling. A survey was conducted on April 11~17, 2022, among panels aged 20 to 39. A total of 350 valid replicates (100%) were analyzed using statistical program SPSS The validity of the measurement instrument was verified through exploratory factor analysis and confirmatory factor analysis. The data reliability was confirmed using Cronbach's alpha coefficient. The hypothesis was verified by performing path analysis through structural equation modeling using AMOS. Regarding the influence of food choice characteristics on sustainable food consumption behavior, health has a significant positive (+) effect on the selection consumption behavior of certified food and local food. Among food value consumption categories social value consumption has a significant negative (-) influence on the consumption behavior of certified food and the choice of local food. Ethical value consumption has a significant positive (+) influence on the selection consumption behavior of certified food and local food. This study is significant because it has identified sustainable food consumption behaviors that domestic consumers can adopt daily. It can use as baseline data for preparing political and institutional measures.