• Journal of the Computational Structural Engineering Institute of Korea
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• v.35 no.2
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• pp.83-91
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• 2022

Seismic design and analysis of nuclear power plant components are performed based on an decoupled model. However, this decoupled analysis has a limitation in that it generates inaccurate results compared to the coupled analysis because it cannot simulate actual phenomena such as the interaction between structures and components. Thus, this study performed seismic coupled and decoupled analysis on an existing nuclear containment structure and related components, considering the mass and natural frequency ratios. And based on these results, comparative analyses of responses of components were conducted. Consequently, the seismic coupled analysis result generally gave a smaller value than the decoupled analysis result. These results were similar to the analysis results for the simple coupled model, which was an existing study, but the difference in component responses was much more pronounced. Also, this was influenced by the installation location of the component rather than the influence of the input frequency of the input seismic motions. Finally, the difference between the decoupled and coupled seismic analysis occurred in the region where the mass ratio of the components was large, and the natural frequencies were almost similar due to the considerable dynamic interaction between the structure and the component in this realm.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.433-441
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• 2022

The purpose of this study was to identify the moderated effects of emotional intelligence on the relationship between academic stress and smartphone addiction among high school students. Subjects were 207 associate high school students. The data were collected using self -report questionnaire from December 1 to December 23, 2019. Data were analyzed by descriptive statistics, t-test, ANOVA, pearson correlation and hierarchical multiple regression with SPSS/WIN 23. Mean point of academic stress(5 point scale) was 2.75, emotional intelligence(5 point scale) was 3.63 and smartphone addiction(4 point scale) was 2.18. Academic stress were negative correlation with emotional intelligence(r=-.15, p =.030) and positive correlation with smartphone addiction(r=.25, p<.001). Emotional intelligence were negative correlation with smartphone addiction(r=-.25, p<.001). Emotional intelligence has been shown to modulate the relationship between academic stress and smartphone addiction(F=10.45. p<.001) Therefore, to decrease the academic stress and smartphone addiction of high school students, It is necessary to develop the program for increase emotional intelligence of high school students.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• Korean Journal of Food Science and Technology
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• v.54 no.3
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• pp.288-296
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• 2022

This study aimed to verify the effect of Citrus unshiu peel water extract (CUP) on a mouse model of acute gastritis (AG) induced by HCl/ethanol. Several studies have found that CUP has anti-inflammatory effects. The AG model was induced by oral administration of 150 mM HCl/60% ethanol (550 µL) to all groups except the control group. Also, for drug treatment, sucralfate (10 mg/kg) and CUP (100 or 200 mg/kg) were orally administered for 90 minutes before induction. The effect of CUP treatment was confirmed by gross gastric mucosal damage measurement, and the levels of Glutamic Oxaloacetic Transaminase (GOT), Glutamic Pyruvic Transaminase (GPT), and myeloperoxidase were reduced as well as the levels of oxidative stress biomarkers and their related proteins. In addition, the levels of inflammatory proteins, mediators, and cytokines were significantly downregulated byPI3K/Akt signaling. Taken together, these results show that CUP treatment alleviates AG by regulating PI3K/Akt signaling.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.43-59
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• 2022

Electronic public records are classified simultaneously as production, a preservation period is granted, and after a certain period, they are transferred to an archive and preserved. This study intends to find a way to improve the efficiency in classifying transferred records and maintain consistent standards. To this end, the current record classification work process carried out by the National Archives of Korea was analyzed, and problems were identified. As a way to minimize the manual work of record classification by converging the required improvement, the process of identifying outlier candidates based on a list consisting of classified information of the transferred records was proposed and systemized. Furthermore, the proposed outlier discrimination process was applied to the actual records transferred to the National Archives of Korea. The results were standardized and constructed as a training data format that can be used for machine learning in the future.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.517-523
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• 2021

The outcome of the consultation is important to both the counselor and the researcher. Analyzing the trends of research on the results of counseling that have been carried out so far will help to comprehensively structure the results of consultations. The purpose of this research is to analyze research trends in Korea, focusing on research related to the outcomes of counseling published in 「Korean Journal of Counseling」 from 2011 to 2021, which is one of the well-known academic journals in the field of counseling in Korea. This is to explore the direction of future research by navigating the knowledge structure of research. There were 197 studies used for analysis, and the final 339 keyword were extracted during the node extraction process and used for analysis. As a result of extracting potential topics using the LDA algorithm, "Measurement and evaluation of counseling outcomes", "emotions and mediate factors affecting interpersonal relationships", and "career stress and coping strategies" are the main topics. Identifying major topics through trend analysis of counseling performance research contributed to structuring counseling performance. In-depth research on these topics needs to continue thereafter.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.425-438
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• 2021

The purpose of this study is to analyze local cultural festivals hosted contact-free in the corona era and to suggest the direction for sustainable festivals in the post-corona era. To this end, by analyzing the cases of well-known festivals held contact-free in 2020 and 2021, we tried to get implications for the festivals in the post-corona era from there. As a result of this study, contact-free festivals had the following characteristics. First, the on-tact method, which produces and transmits a video or allows interaction through real-time participation, was prominent. Second, in order to compensate for the shortcomings of the contact-free method, various efforts have been made to enable on-tact experience by making and delivering experience kits in the case of experiential elements of the festival in advance. Third, communication was secured through real-time comments, and fourth, products were sold through the Internet and live commerce channels, and a certain effect was obtained. In particular, in the case of online festivals, there is a problem of loss of the sense of place of the festival, but there are cases of online festivals with more participation than offline festivals. It is judged that the problem of how to achieve this will become a reference material for the future development of contact-free festival contents.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.377-388
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• 2022

Metaverse, realistic virtual space technology has become a hot topic. However, due to the lack of an institutional system to the metaverse environment, concerns are rising over the leakage of industrial confidentiality, including digital assets produced, stored, processed, and transferred within the metaverse. Digital forensics, a technology to defend against hacking attacks in cyberspace, cannot be used in metaverse space, and there is no basis for calculating the extent of damage and tracking responsibility, making it difficult to respond to human resources leakage and cyberhacking effectively. In this paper, we define the scope of industrial confidentiality information and leakage scenario and propose policy and institutional measures based on problems in each metaverse scenario. As a result of the study, it was necessary to prepare a standardized law on Extra-territorial search and seizure issues and a system for collecting cryptocurrency evidence to respond to industrial confidentiality leaks in the metaverse. The study expects to contribute to industrial technology development by preparing in advance for problems that may arise in metaverse technology.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.449-457
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• 2022

The chaperone practices is being applied to solve the problem of sexual harassment in clinics in medical institutions. Therefore, considering the characteristics of the radiation work and the application of the chaperone practices in the radiation work, this study is to analyze the requirements for the application of the chaperone practices and the impact that may occur on the job. From the end of 2021 to the beginning of 2022, a survey was conducted targeting radiologists in Daegu and Gyeongbuk, and about 52.9% of the surveys were analyzed. As a result of the analysis, the demand for the application of the chaperone practices was higher among women than men, the younger the age, the higher the degree, and the lower the age. Also, as for the job impact of the application of the chaperone practices, the higher the demand, the greater the reduction in sexual harassment and credibility. In other words, the younger the age and the higher the education, the higher the need for the chaperone practices, but it is thought that it is necessary to supplement the policy for job security and Employment stability before applying it. Therefore, when considering the application of the chaperone practices to radiation work in the future, it is judged that it is necessary to sufficiently collect opinions in advance to guarantee the job in the relevant occupation.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.11-16
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• 2022

As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the most reliable prediction model through a verification process. We have developed the algorithm that can predict pipe ratings by pre-processing 12 indirect evaluation items based on the 2020 Han River Basin's basic plan and applying the AI algorithm to update weighting factors through backpropagation. This method ensured that the concordance rate between the direct evaluation result value and the calculated result value through repetitive learning and verification was more than 90%. As a result of the algorithm accuracy verification process, it was confirmed that all water pipe type data were evenly distributed, and the more learning data, the higher prediction accuracy. If data from all across the country is collected, the reliability of the prediction technique for pipe ratings using AI algorithm will be improved, and therefore, it is expected that the AI algorithm will play a role in supporting decision-making in the objective evaluation of the condition of aging pipes.