• (The)Study of the Eastern Classic
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• no.66
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• pp.9-33
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• 2017

This study emphasized on the facts of the preparation for monk military with the confucian Jungbong Joheon against the invasion of Japanese military in the time of Japanese invasion of Korea and the martyrdom in the combat of Cheongju fortress and the 1st, the 2nd combats of Geumsan fortress. Especially, tens of thousands of Monk soldiers under the reverend general Yeonggyu at the very first time uprisen in the Buddhist world and let the rebellion continue nationwide as relying on his teacher Cheongheo Hyujeong and his co-monks. The record related to such monk military was found in 'Jinsanmirukchohongi (珍山彌勒寺招魂記)': the reverend general Yeonggyu and monk military officers (義兵將 判官僧 1 person, 義兵將僧 8 persons, 從事官僧 2 persons, 軍官僧 1 person), but in the record of the Jongyong monastery, it is said, 'the reverend Yeonggyu and his soldiers'. The soldiers of the reverend Yeong'gyu are right the monk troop, the existence of about 20 persons is confirmed in the chronicles and other sorts of literary collections. However, other information was hardly found in those sources, so I look forward to having further researches on the details of other monk solders with their dharma names and conducts which they did with patriotism.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.25-33
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• 2022

This study developed the black liquor evaporation process models using the multiple-effect-evaporator according to the number of effects to predict steam consumption. The developed models were divided into the black liquor preheating and evaporation processes, and a virtual reboiler was added to predict steam consumption. In simulation results, the steam consumption in the double-effect-evaporator was decreased by 48.9 %, and as the number of effects increased, the steam consumption was decreased. Finally, the steam consumption in the octuple-effect-evaporator was decreased by 61.2 %. Also, this study suggests a strategy for deriving the optimal number of effects in the process by analyzing the latent heat recovered from the saturated vapor produced in the multiple-effect-evaporator and the amount of saturated vapor produced by each effect.

• The Korean Fashion and Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.41-52
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• 2023

With the international change in the medical device market owing to the development of innovative medical engineering and the use of various raw materials, a systematic and rational medical device classification system is needed to safely manage newly developed medical devices. This study aims to improve the domestic medical device classification system by proposing product establishment and segmentation. It is based on medical device products from the United States and Europe that are only available in foreign systems and are more subdivided than domestic products. This study analyzes and compares the domestic and foreign medical device classification systems by examining laws, guidelines, and analysis reports in Korea, the United States, and Europe. In accordance with product establishment and segmentation criteria, products subject to improvement are presented. This study contributes to safely managing medical devices that do not fit with the current classification system and to solving the confusion caused by the lack of international harmony in product classification systems.

• Herbal Formula Science
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• v.30 no.4
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• pp.249-257
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• 2022

Objectives : Aquilaria crassna is a traditional herbal medicine, which is used to treat allergies, diabetes, neurological diseases. Recently, Aquilaria crassna extracts have been reported in anti-bacterial and anti-inflammatory activities. In this study, various solvents fraction of Aquilaria crassna were investigated on various physiological activities. Methods : According to the polarity, the solvents fraction of Aquilaria crassna were confirmed through TLC, and the activities of the extracts were confirmed in anti-diabetes, anti-obesity, whitening, anti-gout, and anti-inflammation. Results : TLC results showed that ACM and ACM/E have similar patterns and most of the components were transferred to ACM/E. Treatment with ACM and ACM/E fraction were significantly decreased the generation of NO in lipopolysaccharide (LPS)-stimulated macrophage cells. Analysis of biological activities such as α-glucosidase, protein tyrosine phosphatase (PTP1B), tyrosinase, xanthine oxidase (XO) and pancreatic lipase inhibition, showed that ACM and ACM/E have more inhibitory effects than other fractions. Conclusions : Therefore, the results of the present study clearly demonstrate that Aquilaria crassna and its constituents might be beneficial in the prevention or treatment of immune-regulating effects.

• The Korean Fashion and Textile Research Journal
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• v.24 no.1
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• pp.81-94
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• 2022

The purpose of this study is to analyze the trends of MZ generation's lifestyle-related research from 2010 to 2020. As a result of searching keywords such as MZ generation's and lifestyle using academic database search sites, a total of 218 cases were used as analysis data to conduct frequency and content analysis. First, research type was 74 dissertations(34.6%), 144 journals(65.4%). The study of MZ generation was relatively active in journals. Second, the current status of academic field was 85(39.7%) in the social field, followed by 66(30.8%) in the arts/physical education, 21(9.8%) in the complex studies, 16(7.5%) in education, 15(7.0%) in nature, 6(2.8%) in engineering, 4(1.9%) in humanities, 1(0.5%) in agriculture/marine. Third, the current status of MZ generation research topics is 54 social participations(25.3%), 35 fashion/beauty(16.3%), 31 social/organizational adaptations(14.5%), 25 cultural/leisure activities(11.7%), 24 design/development projects(11.2%), 21 economic/employment/job projects(9.8%), 11 educational/career/experiences(5.1%), 9 self-concepts(4.2%), 4 welfare services(1.9%). Fourth, the current status of MZ generation research methods was quantitative research(survey/experiment) 125(58.4%), qualitative research(depth interview/participant observation) 42(19.6%), theory/literature research 35(16.4%) and mixed research 12(5.6%). Fifth, the study on the lifestyle of the MZ generation was conducted in four cases, one in 2016, one in 2019, two in 2020. This study is meaningful in that it grasped the overall flow of data of information exchange that can share the research trends of the MZ generation and suggested the basic data on the direction of future research, the individual tendency, behavior, and lifestyle characteristics of the MZ generation.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.733-739
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• 2022

A survey was conducted on safety and health managers to analyze what change have occurred in the safety health management system of companies since the enforcement of the Serious Accidents Punishment Act. As a result, it was confirmed that most of the safety and health budgets increased, and most of the safety and health organization operations and safety and health tasks were strengthened. However, further research is needed to see if this has a practical effect on worker safety and reduction of serious accidents, and realistic measures are needed to allow safety and health managers to focus on practical helpful tasks rather than formal ones. In addition, it was confirmed that active support from business owners or management managers and strengthening education on the Serious Accidents Punishment Act were needed through cross-analysis between the education of the Serious Accidents Punishment Act and positive change in safety and health.

• Journal of Sensor Science and Technology
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• v.32 no.2
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• pp.88-94
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• 2023

Recently, piezoelectric tactile sensors have garnered considerable attention in the field of texture recognition owing to their high sensitivity and high-frequency detection capability. Despite their remarkable potential, improving their mechanical flexibility to attach to complex surfaces remains challenging. In this study, we present a flexible piezoelectric sensor that can be bent to an extremely small radius of up to 2.5 mm and still maintain good electrical performance. The proposed sensor was fabricated by controlling the thickness that induces internal stress under external deformation. The fabricated piezoelectric sensor exhibited a high sensitivity of 9.3 nA/kPa ranging from 0 to 10 kPa and a wide frequency range of up to 1 kHz. To demonstrate real-time texture recognition by rubbing the surface of an object with our sensor, nine sets of fabric plates were prepared to reflect their material properties and surface roughness. To extract features of the objects from the detected sensing data, we converted the analog dataset to short-term Fourier transform images. Subsequently, texture recognition was performed using a convolutional neural network with a classification accuracy of 97%.

• Research in Community and Public Health Nursing
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• v.33 no.1
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• pp.128-138
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• 2022

Purpose: This study aimed to identify the factors influencing the wellness of call center employees. Methods: From December 2018 to October 2019, a cross-sectional study was conducted with 155 workers recruited from the call centers in Seoul, South Korea. Data were collected using self-administered questionnaires. The questionnaires were used to measure the following scales: Korean occupational stress scale, emotional labor scale, work-life balance scale and wellness scale. Using the SPSS 26.0 program, the descriptive statistics, independent t-test, ANOVA, correlation analysis, and multiple regression analysis were conducted. Results: The mean score of the wellness level of call center employees was 3.05 out of a maximum of 5.00. More wellness level of call center employees was associated with gender, psychiatric diagnosis, and call characteristics. A multiple regression analysis indicated that the total scores on the wellness scale were predicted by call characteristics, occupational stress and work-life balance, with an explanatory power of 42.2%. Conclusion: Study findings show that it is necessary to promote wellness in call center workers with differentiated strategies according to call characteristics, occupational stress and work-life balance. This implies that it is necessary to understand the call characteristics and patterns of workers and to provide an innovative wellness program tailored to individual characteristics for an effective management of the emotional labor and occupational stress.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.315-327
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• 2023

Purpose: Recently, research has continued to predict the time of failure of the facility through measurement data obtained by attaching a sensor to the facility. However, depending on the facility, it may be difficult to attach a sensor. The purpose of this study is to propose a power generation maintenance plan system based on failure record data obtained from Continuous Ship Unloader, one of the facilities that is difficult to attach sensors. Methods: This study uses data collected from 2012 to 2022 from the 'CSU-1B' model among Continuous Ship Unloader operated by Korea Midland Power Co., LTD. By fitting fault record data to the Weibull distribution, appropriate maintenance cycles and ranges for each target facility subsystem are derived. In addition, maintenance group between subsystems is selected through Euclidean distance, a metric often used for time series data similarity. Through this, a system for establishing an maintenance plan for power generation facilities is proposed. Results: The results of this study are as follows. For the 17 subsystems of the Continuous Ship Unloader, proper maintenance cycles and ranges were determined, and a total of four maintenance groups were chosen. This resulted in the creation of an power generation maintenance plan system and the establishment of an maintenance plan. Conclusion: This study is a case study of power generation facilities. We proposed a maintenance plan system for Continuous Ship Unloader among power generation facilities.