• KIPS Transactions on Computer and Communication Systems
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• v.10 no.6
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• pp.181-190
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• 2021

Sports activities conducted by multiple people are difficult to proceed in a situation where a widespread epidemic such as COVID-19 is spreading, and this causes a lack of physical activity in modern people. This problem can be overcome by using online exercise contents, but it is difficult to check detailed postures such as during face-to-face exercise. In this study, we present a model that detects posture and tracks movement using IT system for better non-face-to-face exercise content management. The proposed motion tracking model defines a body model with reference to motion analysis methods widely used in physical education and defines posture and movement accordingly. Using the proposed model, it is possible to recognize and analyze movements used in exercise, know the number of specific movements in the exercise program, and detect whether or not the exercise program is performed. In order to verify the validity of the proposed model, we implemented motion tracking and exercise program tracking programs using Azure Kinect DK, a markerless motion capture device. If the proposed motion tracking model is improved and the performance of the motion capture system is improved, more detailed motion analysis is possible and the number of types of motions can be increased.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.111-122
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• 2021

Objective : The worldwide Coronavirus disease 2019 (COVID-19) pandemic has increased the level of depression and decreased the quality of life. This has caused an adverse effect of deteriorating the quality of life. As such, this study attempted to determine the effects of COVID-19 on depression and quality of life. Methods : The content was analyzed by conducting an online survey for two months, from November 2020 to December 2020, targeting 270 adults in their 20s to 60s nationwide. Results : Among the subjects', those in their 50s showed the greatest change in depression (p<.05). In terms of quality of life, there were significant changes in all age groups (p<.001). Among the subject characteristics unmarried individuals showed greater depression after COVID-19 than those who were married (p<.012). In terms of quality of life, married individuals had a higher quality of life than those who were unmarried (p<.001). Conclusion : The results confirmed that COVID-19 increased depression and lowered the quality of life in adults. The impact of the current COVID-19 pandemic, on society is constantly changing. This research needs to be updated.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.4
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• pp.25-37
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• 2021

Objectives: Reportedly, the main influential factors on students' adaptation to their college life were social support, stress, adaptation resilience, self-esteem, and satisfaction with their major. This study tried to find the actual influence of these factors on dental hygiene students, and to find an intervention plan for improving their adaptation to college life and preventing their dropout. Methods: An online questionnaire survey had been conducted with 270 dental hygiene students from June 21 to July 2, 2021. The collected data were analyzed with the use of SPSS Program Version 22.0. Results: Firstly, students living together with their family, those satisfied with their major, and those doing a club activity related to their major scored high points in terms of the adaptation to college life. In addition, the adaptation points were high in those whose school entrance motivation was arbitrary, and in those who entered in the dental hygiene department in consideration of their aptitude. Secondly, college life stress was high in those whose entrance motivation was in other persons' will, those who entered in the department due to their school record and occupation, rather than aptitude, those who were also doing a part-time job, and those whose economic level was low. Thirdly, adaptation resilience, social support, and self-esteem were high in those who were highly satisfied with their major, those who entered in the department in consideration of aptitude, and those whose economic level was high. Fourthly, the biggest influential factor on their adaptation to college life was college life stress, followed by self-esteem, satisfaction with major, and adaptation resilience in order. Conclusion: Given all the results, it is necessary to analyze dental hygiene students' levels of stress, self-esteem, social support, and adaptation resilience from the beginning of their entrance, and to operate a school life adaptation program in line with school years. If any customized support and training are given to these students to deal with a variety of stress situations resiliently and wisely and achieve their jobs successfully, it is expected to improve their self-esteem and adaptation resilience, and thereby increase their adaptation to college life.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.93-100
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• 2022

This study aimed to understand the current status of science and engineering university(SEU) R&D operations depending on the research project characteristics(e.g., stages and characteristics), then provide implications for future university R&D support systems and related policies. Hence, an online survey targeting SEU R&D recipients was conducted between October 4th to November 5th, 2021. Analyzing 445 valid data using the Apriori algorithm, 16 association rules for R&D operation according to the research project characteristics show that regardless of research characteristics, SEU's R&D projects, particularly in applied research, were funded or operated under the leadership of government or public institutions. For basic research, individual researchers had a higher level of autonomy in determining research topics; yet, they had a short duration (3 years) and a unit of evaluation period of more than 3 years. These findings can be empirical evidence for revealing the relationship among various variables in operating SEUs' R&D.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.209-216
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• 2022

In this paper, we propose an effective software education program to promote employment of the disabled and verify the effectiveness of SW education through pilot operation. In this SW education program, we develop a SW curriculum consisting of the basic course, Unity programming course, and the advanced course, AR/VR digital content development course. The SW education achievement standard develops the basic and advanced course achievement standards in consideration of the level of the virtual reality content production job of the National Competency Standards(NCS) and the SW education achievement standards of youth with visual, hearing, and physical disabilities. SW education materials are developed on a project basis so that one AR/VR digital content can be implemented step by step according to the intellectual level of the disabled based on Unity. SW education pilot training is conducted as online education based on Blended Learning due to COVID-19. In order to derive the SW education effect and each learner's individual SW education academic achievement for the SW education pilot training, a survey is conducted on learners, and the results are analyzed. In the basic course, 77.3% of learners achieved academic achievement above excellent(80-90), and in the advanced course, 48.8% of learners achieved academic achievement above excellent(80-90). These results verify that the SW education program for the disabled developed in this paper is effective in activating employment for the disabled.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1709-1721
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• 2021

This study identified the impact of career identity and career decision-making type on career preparation behavior in nursing students. The participants were 198 nursing students enrolled in the 3rd and 4th grades located in J province, and data were collected from June 14, 2021 to 27, 2021, using an online questionnaire. Data were analyzed with descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation, and hierarchical regression using SPSS/WIN 23.0 program. As a result, the mean score of career identity, rational type, intuitive type, dependent type, and career preparation behavior were 2.79(range 1~4), 3.78(range 1~5), 3.38(range 1~5), 3.01(range 1~5), and 3.51(range 1~5), respectively. Career preparation behavior was significantly correlated with career identity(r=.40, p<.001), rational type(r=.50, p<.001), intuitive type(r=.22, p=.002), and dependent type(r=-.20, p=.004). Factors influencing career preparation behavior were career identity(β=.23, p=.001), rational type(β=.31, p<.001), intuitive type(β=.27, p<.001), and dependent type(β=-.20, p=.002). These variables accounted for 24.6%p of the variance in career preparation behavior(F=11.93, p<.001). These research results suggest that it is necessary to establish a career identity and develop and apply a program that includes career guidance according to career decision-making type to improve the career preparation behavior of nursing students.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.15-28
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• 2022

Due to recent expansion of online market such as clothing, utilizing customer review has become a major marketing measure. User review has been used as a tool of analyzing sentiment of customers. Sentiment analysis can be largely classified with machine learning-based and lexicon-based method. Machine learning-based method is a learning classification model referring review and labels. As research of sentiment analysis has been developed, multi-modal models learned by images and video data in reviews has been studied. Characteristics of words in reviews are differentiated depending on products' and customers' categories. In this paper, sentiment is analyzed via considering review data and metadata of products and users. Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Self Attention-based Multi-head Attention models and Bidirectional Encoder Representation from Transformer (BERT) are used in this study. Same Multi-Layer Perceptron (MLP) model is used upon every products information. This paper suggests a multi-modal sentiment analysis model that simultaneously considers user reviews and product meta-information.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.559-564
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• 2021

The purpose of this study is to explore the factors that affect the intention to run remote classes after COVID-19 with university professors have fully experienced remote classes due to COVID-19. The research questions are what are the factors and the combinations of factors that affect the intention to run remote classes in the post-COVID-19. Data were collected through a survey of 311 remote classes at S Univ. in Seoul in fall 2020, and individuals and combinations of factors were confirmed through logistic regression analysis and decision tree analysis. As a result, individual factors were quality management, online office hours, quizzes midterm oral exams, video development, and student-student and instructor-student Q&A type between face-to-face and remote class. As combinations of factors, it was found that quality management×quiz×student Q&A and quality management×quiz×voting type had an effect on whether to run remote classes. Based on the results, we proposed to run and support remote classes in the post-COVID-19 era.

• Korean Journal of Acupuncture
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• v.38 no.4
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• pp.235-249
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• 2021

Objectives : Acupoint LU6 (Gongchoe) is known as an acupoint for the treatment of pain and bleeding caused by hemorrhoids. The purpose of this study was to critically review acupoint LU6 for treating hemorrhoids. Methods : We searched both ancient and modern literature of acupuncture and moxibustion using keywords "Gongchoe" and "hemorrhoids". We further performed an online ancient literature search for crosscheck. The searched literature was stratified by country (Korea, China, and Japan), and data were organized chronologically. Concerning literature related to hemorrhoids, data based on acupuncture treatment were compiled. Results : The bone proportional measurement of the forearm had been 12.5 cun until the Qing Dynasty but was recorded as 10 cun in "Shinkyushinzui," and the majority of modern Japanese and Korean literature indicated it as 10 cun. Gongchoe for treating hemorrhoids has been reported in the literature, including "Shinkyushinzui" (Japan, 1941), "Shiyoungzongguozhenjiujingxuexue" (Taiwan, 1963), "Gyeonghyeolhak" (Korea, 1971), and "Jinzhenmeihuashichao" (China, late Qing dynasty), but except "Jinzhenmeihuashichao", the location is different from the World Health Organization (WHO) standard acupoint location as it is 7 cun from the wrist out of 10 cun of the forearm bone proportional measurement. In addition, classical guides published until the Qing Dynasty did not report acupoint LU6 for the treatment of hemorrhoids. Conclusions : It is necessary to distinguish between Gongchoe in "Shinkyushinzui" and LU6 in WHO standard acupuncture point locations. Gongchoe (LU6)'s primary treatment for hemorrhoids has not been described in the classical literature, and further clinical evidence is needed to support it. When using Gongchoe for hemorrhoids, we should consider that the location of Gongchoe is closer to the LU5 than the standard acupuncture point locations and it is meaningful not only for treatment but also for diagnosis.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.3
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• pp.29-46
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• 2022

COVID-19 has radically changed the behavior of members of society for exchange. In particular, the strong contagiousness of the virus is increasing networking on online platforms while reducing people's networking in the real world. Recently, the metaverse, which strengthened the presence based on 3D technology, is attracting attention from members of society such as individuals and companies. We present a method to improve metaverse utilization from the perspective of organizations and employees who have introduced metaverse for work. In other words, we check the effect of metaverse social function and telepresence on the employee's intention to offer support by improving the trust of the metaverse participants. We obtained samples through questionnaires targeting employees of organizations that introduced metaverse to their work, and verified the research hypothesis by applying the structural equation model. As a result, social interactivity, reciprocal favor, and telepresence of metaverse partially affected metaverse trust (platform, peer, organization), and metaverse trust increased the intention to offer support. Our study suggests a strategic direction to improve the metaverse utilization and exchange level of employees of organizations who want to use the metaverse for business.