• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1070-1080
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• 2021

This study is a descriptive survey research on social network service addiction tendency and interpersonal relationships on college life adaptation among nursing students. The study period was from October 1 to 4, 2019, the survey was conducted for 228 first and third year nursing students located in G city. The collected data were analyzed with the SPSS 23.0 program using descriptive statistics, ANOVA, Pearson correlation coefficients, and multiple regression. The results of the study showed that there were differences in the subjects' college life adaptation depending on their gender (t=5.26, p<.001), daily average duration of using social network service (F=8.07, p<.001), and friends in real life (F=2.87, p=.037). College life adaptation had a significant correlation with social network service addiction tendency (r=-.31, p<.001) and interpersonal relationships (r=.52, p<.001), and social network service addiction tendency with interpersonal relationships had a significant correlation (r=-.17, p=.011). Factors that affected college life adaptation included interpersonal relationships (𝛽=.477, p<.001), gender (𝛽=-.198, p=.001), and daily average duration of using social network service (𝛽=-.177, p=.003), and the explanatory power of these factors was 37.8%. Based on the results of this study, it is thought that it is necessary to develop a program for a positive interpersonal relationship formation using social network service in order to improve the college life adaptation of nursing students.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.683-690
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• 2021

The purpose of this study was to confirm the degree of academic achievement among university students in the Department of Radiology(science) who are in the continuation of the COVID-19 situation and to investigate the effect of smart media literacy and ego-resilience on academic achievement. The research method was descriptive research. Data was 188 students collected from June 1 to July 31 in 2021 using structured questionnaires as students in the Department of Radiology(science). Collected data was analyzed using descriptive statistics, t-test, ANOVA, Cronbach's pearson's correlation, multiple regression analysis with SPSS/WIN 21.0. The result of the study showed that the academic achievement was 3.43, ego-resilience was 3.37 and smart media literacy was 2.94. There was a significant positive correlation between a academic achievement and smart media literacy, academic achievement and ego-resilience. Factors influencing academic achievement were smart media literacy, ego-resilience, major satisfaction and practice satisfaction. As a result of the above research. it is necessary to develop and apply curriculums, extra curriculums and educational programs that improve the smart media literacy and ego-resilience in order to improve the academic achievement. In addition, it is necessary to improve major satisfaction and practice satisfaction.

• Journal of Digital Convergence
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• v.19 no.9
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• pp.229-239
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• 2021

This study is to identify the factors influencing the attitudes, behavior controls, and subjective norms related to COVID-19 vaccination on the intention of preventive behavior in K provincial residents. A total of 232 people agreed to participate in the study. Data were analyzed using descriptive statistics, t-test, ANOVA, correlation, and Hierarchical analysis. As a result of this study, the factors that had a statistically significant effect on the intention to conduct COVID-19 vaccination were perceived behavioral control (β=.39, p<.001) and attitude toward COVID-19 preventive behavior (β=.24, p<.001), followed by subjective norm (β=.24, p<.001). The explanatory power for this was 56.8%. The COVID-19 vaccine is an important means of ending the COVID-19 pandemic and helps prevent infection or worsening of COVID-19 and protect those around you. In the post-COVID-19 situation, it is necessary to improve the intention of vaccination against COVID-19 and to take active measures and strategies. At this point in time when COVID-19 vaccination is becoming more prevalent across the country, we hope that the intent of the COVID-19 vaccination action will translate into a COVID-19 vaccination action.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.331-341
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• 2021

This descriptive study was conducted to examine self rated health and factors influencing self rated health among e-cigarette smoking young and elderly community residents. The data were from the community health survey 2019 and the subjectis were 2,607 participants aged 19-50 years. Data analysis was conducted by descriptive statistics, χ² test, univariate multinominal logistic regression using SPSS 26.0 program and SPSS complex samples statistics. As a result of the study, 90.2% of the young and old e-cigarette smokers had a good subjective health condition and 9.8% had a poor subjective health condition. The factors affecting the subjective health status of e-cigarette smokers are gender(p=.006), age(p=.036), income level(p=.044) in Model I, and physical activity (p=.033) and stress (p<.001) in Model II. As a strategy to improve the subjective health status and quit smoking of e-cigarette smokers in the young and old, nursing intervention strategies are needed to increase physical activity and reduce stress.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.889-898
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• 2021

Currently, due to the demographic cliff phenomenon in Republic of Korea, A serious defense vacuum could occur due to the lack of South Korean military's personal strength. As a result, The South Korean military has a possibility to implement the polices the prepare for military provocations and preemptive strikes by the North Korean military while resolving the South Korean defense vacuum caused by the shrinking population. It seems like that the only way for the South Korean military to solve the shortage of personal strength due to the population decline is to reduce the number of Mechanized Units(MU) other than, infantry and automate, and autonomous driving the weapons system of the Mechanized Units(MU). In this paper, we propose the use of the virtual autonomous driving of the self propelled artillery K-9's in self selection of the position and occupation of position and self positioning in the position. At the same time in this paper, the self propelled artillery K-9 model robot is used to simulate and the explain about the operation method, necessity and feasibility in the self propelled artillery K-9. In addition, this paper predicted the problems that would arise if the South Korean military deployed autonomous driving self propelled K-9, in real combat.

• The Journal of Bigdata
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• v.6 no.1
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• pp.51-62
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• 2021

In the field of medical artificial intelligence, there have been a lot of researches on disease prediction and classification algorithms that can help doctors judge, but relatively less interested in artificial intelligence that can help medical consumers acquire and judge information. The fact that more than 150,000 questions have been asked about which hospital to go over the past year in NAVER portal will be a testament to the need to provide medical information suitable for medical consumers. Therefore, in this study, we wanted to establish a classification model that classifies 8 medical subjects for symptom text directly described by patients which was collected from NAVER portal to help consumers choose appropriate medical subjects for their symptoms. In order to ensure the validity of the data involving patients' subject matter, we conducted similarity measurements between objective symptom text (typical symptoms by medical subjects organized by the Seoul Emergency Medical Information Center) and subjective symptoms (NAVER data). Similarity measurements demonstrated that if the two texts were symptoms of the same medical subject, they had relatively higher similarity than symptomatic texts from different medical subjects. Following the above procedure, the classification model was constructed using a ridge regression model for subjective symptom text that obtained validity, resulting in an accuracy of 0.73.

• Journal of the Korean Chemical Society
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• v.65 no.5
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• pp.358-369
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• 2021

In this study, the contents of the electron transfer model presented in the 4 chemistry I and the 4 chemistry II textbooks of 2009 revised curriculum and 9 chemistry I textbooks and 6 chemistry II textbooks of 2015 revised curriculum were analyzed in the viewpoint of model's Ignorance. In addition, 3 questions were developed to find out whether 24 pre-service teachers were perceived of the Ignorance of the electron transfer model. As a result, Most textbooks explain the redox reaction of covalent bond substances, which is an inconsistent context of the electron transfer model, with mixing oxidation number change and electron transfer or with electron transfer. In addition, the change to the development and use of the model emphasized in the 2015 revised curriculum was not clearly revealed in the curriculum comparison. Most pre-service teachers incompletely perceived or did not perceive Ignorance of the electron transfer model. Only 1 pre-service teacher perceived Ignorance of the model. In conclusion, the textbook description needs to be improved so that Ignorance of the model is revealed when the textbook describes the inconsistent situation of the electron transfer model. And through the education for pre-service teachers, it is necessary to provide an opportunity for pre-service teachers to perceive Ignorance of the electron transfer model.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.47-54
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• 2021

This study was aimed to understand the recognition of care robots which would enhance the medical quality of life under the 4^th industrial revolution in the university students majoring in health and engineering who would lead the development of the future medical industry and to find out the differences of their digital literacy and empathic ability. This was a descriptive correlation study to analyze the recognition of university students on care robots, their digital literacy and empathic ability. Both students majoring in health and engineering recognized the needs of care robots, while their education experiences were not sufficient. Moreover, statistically fewer university students majoring in health heard about care robots than those in engineering, and their need of taking classes was lower, too. No statistically significant differences were found in digital literacy and empathic ability between the two majors, while significant difference was found in the relationship bundling capability out of behavioral empathy, a sub-domain of empathic ability. The study results are anticipated to suggest the future educational direction in the medical field according to the 4^th industrial revolution and to be the fundamental data for understanding and preparation of the students depending on the majors.

• Journal of Science Education
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• v.45 no.2
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• pp.172-186
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• 2021

The purpose of this study is to analyze the science lesson plan of pre-service elementary teachers about condensation. Pre-service elementary school teachers in A national university of education was included in this study. Through the analysis of prior research and expert review, a framework for analysis of science lesson plan of pre-service elementary teachers was derived. The results of the using the analysis frame are as follows: First, the ability to apply the instructional model in the science lesson plan about condensation differences in pre-service elementary teachers need to be enhanced due to deviations, and teaching on the exact understanding of condensation-related concepts of pre-service elementary teachers is also needed. Second, there is also a deviation of pre-service elementary teachers in the beginning, development, and finishing composition of lesson course, so feedback should be supplemented. Third, in the sub-domain of lesson environment, there was a demand for specific know-how on the lesson environment. Therefore, support is needed for related PCK growth. Fourth, the sub-domain of lesson evaluation have a variety of perspectives on timing and subjects, and some missing about learning objectives in the composition of evaluation content are found to require complementary teaching. In order to improve this situation, it was found that there was a need to prepare conditions for improving science teaching professionalism of pre-service elementary teachers through in-depth discussions on the teaching methods and organization related to science education in the university of education course.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.86-98
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• 2021

In this study, we developed a simulation model for supply chain management of Precast Concrete (PC) based construction. To this end, information on the Factory Production/Site Construction system was collected through literature review and field research, and based on this information, a simulation model was defined by describing the supply chain, entities, resources, and processes. Next, using the Arena simulation software, a simulation model for the PC supply chain was developed by setting model frameworks, data modules, flowchart modules, and animation modules. Finally, verification and validation were performed using five review methodologies such as model check, animation check, extreme value test, average value test, and actual case test to the developed model. As a result, it was found that the model adequately represented the flows and characteristics of the PC supply chain without any logical errors and provided accurate performance evaluation values for the target supply chains. It is expected that the proposed simulation model will faithfully play a role as a performance evaluation platform in the future for developing management techniques in order to optimally operate the PC supply chain.