• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.75-91
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• 2021

In this study, most of the previous researches on the analysis of apology are limited to comparative study of apology in different countries from the perspective of cross-cultural communication and analysis of apology in daily life. Therefore, by introducing pragmatics on apology strategy and cultural interpretation theories, this study tried to analyze apology and apology strategies in the seventh season of American TV series Desperate Housewives. Specifically speaking, based on Trosborg's classification of apology strategies, this study sorted out, classified and counted apology strategies in the seventh season of Desperate Housewives, and then 200 apology strategies were randomly selected and analyzed in detail. The statistical results showed that 'expression of apology' strategy was used at the highest frequency of 64.0%, followed by 'explanation or account' and 'minimizing the degree of offence'; 'Acknowledgement of responsibility', 'offer of repair' strategy, 'expressing concern for hearer' and 'promise of forbearance' were used relatively less frequently. The results can be interpreted by America's high individualism, low power distance and low-context culture having great influence on the frequency of American apology strategy. This study can increase understanding of apology and culture, reduce offence in communication with Americans, and make cross-cultural communication smooth, and meanwhile it is expected to enrich the research scope of TV drama art by analyzing language in TV drama art.

• Journal of Korean Dental Hygiene Science
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• v.3 no.2
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• pp.9-18
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• 2020

This study analyzed 183 for dental hygienists working at dental hospitals and clinics in Daegu to survey organizational socialization of them. The adversity index of the study subjects averaged 58.60±9.16 points out of a total score of 100, with the highest individual initiative of 16.58±3.09 points, and a low of 13.86±3.66 points for continuity of the situation. Organizational socialization averaged 123.40±12.82 points out of 190, with the highest personal characteristics of 30.37±3.71 points, and the lowest occupational identity of 10.34±1.94. The adversity index of the participants was significantly higher in graduate school or higher (F=3.112, p=0.047), the lower the intensity of their work (F=2.860, p=0.060), and the more often the degree of turnover (F=5.196, p<0.006). In organizational socialization, age (F=9.290, p<0.001), educational background (F=8.655, p<0.001), and higher position (F=5.425, p=0.005) were significantly higher when working in hospitals (F=4.534, p=0.012). The higher the position (F=5.425, p=0.005), the higher the work experience (F=5.320, p=0.002), the lower the turnover (F=22.935, p<0.001), and the highrer the intensity of the work(F=7.02, p<0.001). The study subjects' organizational socialization showed a significant correlation with the adverse event index (r=0.395, p<0.000). The regression analysis using organizational socialization as a dependent variable showed that the degree of turnover (β=0.300, p<0.001) had a significant effect on organizational socialization. The total explanatory power of this variable was 41.6%, with significant effects on individual initiative (β=0.255, p<0.000) and personal control (β=0.180, p<0.009) among the adverse events index. The above findings confirmed that a high adverse event index of dental hygienists has the effect of increasing organizational socialization. Dental hygienists' adversity index is average, meaning they live a smooth life in smooth conditions, however, when major adversity arises, organizational socialization is highly necessary. In addition, to strengthen the organizational socialization of new dental hygienists, as well as experienced dental hygienists, a customized program should be administered to raise the adverse index of dental hygienists, and provide a human management tool through regular confirmation of the program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.719-730
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• 2020

This study examined the degree and relations of stroke literacy, health literacy, stroke knowledge, and self-management to identify the significant determining factors affecting stroke prevention among middle-aged and older adults with a high incidence of stroke. Data on the sociodemographic characteristics, stroke literacy, health literacy, stroke knowledge, and self-management of 198 participants were collected from December 5, 2019, to March 31, 2020, using a structured questionnaire. The data were analyzed using the SPSS/WIN 23.0 program. The determining factors affecting self-management in middle-aged and older adults were age (β=.190. p=.015), followed in order by smoking (β=-.226, p=.001), self-rated health status (β=.297, p<.001), and stroke knowledge (β=-.168, p=.014); the explanation power was approximately 20.3%. The results suggest that the self-rated health status and stroke knowledge should be considered when developing nursing interventions to improve self-management among middle-aged and older adults. Furthermore, it will be necessary to find the intervening variable between stroke knowledge and self-management for community-dwelling middle-aged and older adults in the community. Overall, these findings underscore the importance of systematic and ongoing education on stroke prevention.

• Journal of the Microelectronics and Packaging Society
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• v.28 no.2
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• pp.89-94
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• 2021

The mechanical reliability of flexible devices has become a major concern on their commercialization, where the importance of reliable bonding is highlighted. In terms of component materials' properties, it is important to consider thermal damage of polymer substrates that occupy large area of the flexible device. Therefore, room temperature bonding process is highly advantageous for implementing flexible device assemblies with mechanical reliability. Conventional epoxy resins for the bonding still require curing at high temperatures. Even after the curing procedure, the bonding joint loses flexibility and exhibits poor fatigue durability. To solve this problems, low-temperature and adhesive-free bonding are required. In this work, we develop a room temperature bonding process for polymer substrates using carbon nanotube heated by microwave irradiations. After depositing multiple-wall carbon nanotubes (MWNTs) on PET polymer substrates, they are heated locally with by microwave while the entire bonding specimen maintains room temperature and the heating induces mechanical entanglement of CNT-PET. The room temperature bonding was conducted for a PET/CNT/PET specimen at 600 watt of microwave power for 10 seconds. Thickness of the CNT bonding joint was very thin that it obtains flexibility as well. In order to evaluate the mechanical reliability of the joint specimen, we performed lap shear test, three-point bending test, and dynamic bending test, and confirmed excellent joint strength, flexibility, and bending durability from each test.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.149-156
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• 2021

This study started from the question of what we think about big data as the term "big data" was used and discussed in our daily lives in the era of the 4th industrial revolution. For the analysis, the final 30 Q samples were selected based on prior research related to big data, and 23 respondents were secured for Q analysis, and the following results were derived. First, the explanatory power of each type was 34.30% for , 8.03% for , 7.21% for , and 6.24% for , showing a total of 55.69%. Second, the Q sample emphasized by respondents by each type shows various occupational distributions in , and for 'big data', it is 'digital' and future'. So they were named 「Digital Type」. In , the distribution of 'social workers' was high, and for 'big data', 'future', 'collaboration', 'welfare', 'local residents', and 'defense' were emphasized. It was named 「welfare type」. In , the job distribution of respondents appeared evenly, and it was named as 「Convergence Type」. Because it emphasized statements such as 'convergence', 'digital', 'future', and 'sports'. is composed of association officials, sports instructors, and graduate students, and was named 「Artificial Intelligence Type」, because it emphasizes 'artificial intelligence', 'new paradigm', 'network', and 'sports'. In the age of knowledge industrialization and knowledge informatization that followed industrialization and informatization, how to process and utilize the numerous data accumulated over the years is an important task. Right now, in sports, more than anything else, it is necessary to continuously seek ways to utilize and activate accumulated big data.

• Knowledge Management Research
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• v.22 no.4
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• pp.119-133
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• 2021

As a large amount of data is produced in each industry, a number of time series pattern prediction studies are being conducted to make quick business decisions. However, there is a limit to predicting specific patterns in nonlinear time series data due to the uncertainty inherent in the data, and there are difficulties in making strategic decisions in corporate management. In addition, in recent decades, various studies have been conducted on data such as demand/supply and financial markets that are suitable for industrial purposes to predict time series data of irregular random walk models, but predict specific rules and achieve sustainable corporate objectives There are difficulties. In this study, the prediction results were compared and analyzed using the Chaos analysis method for roulette data and financial market data, and meaningful results were derived. And, this study confirmed that chaos analysis is useful for finding a new method in analyzing time series data. By comparing and analyzing the characteristics of roulette games with the time series of Korean stock index future, it was derived that predictive power can be improved if the trend is confirmed, and it is meaningful in determining whether nonlinear time series data with high uncertainty have a specific pattern.

• Clean Technology
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• v.28 no.1
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• pp.9-17
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• 2022

Electrochemical carbon dioxide (CO₂) reduction technology, one of the promising solutions for climate change, can convert CO₂, a representative greenhouse gas (GHG), into valuable base chemicals using electric energy. In particular, carbon monoxide (CO), among various candidate products, is attracting much attention from both academia and industry because of its high Faraday efficiency, promising economic feasibility, and relatively large market size. Although numerous previous studies have recently analyzed the GHG reduction potential of this technology, the assumptions made and inventory data used are neither consistent nor transparent. In this study, a comparative life cycle assessment was carried out to analyze the potential for reducing GHG emissions in the electrochemical CO production process in a more transparent way. By defining three different system boundaries, the global warming impact was compared with that of a fossil fuel-based CO production process. The results confirmed that the emission factor of electric energy supplied to CO₂-electrolyzers should be much lower than that of the current national power generation sector in order to mitigate GHG emissions by replacing conventional CO production with electrochemical CO production. Also, it is important to disclose transparently inventory data of the conventional CO production process for a more reliable analysis of GHG reduction potential.

• Journal of Korean Dental Hygiene Science
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• v.4 no.2
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• pp.9-18
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• 2021

Background: Based on the individualistic approach of experienced dental hygienists, this study attempted to provide basic data to find effective measures of human resource management by analyzing the correlation between organizational socialization and professional self-concept. Methods: Dental hygienists currently working in the Daegu area were evaluated. Nine questions related to duties, twenty-seven questions related to professional self-concept, and thirty-eight questions related to organizational socialization were included in the study. The reliability was professional self-concept (Cronbach's α = 0.859) and organizational socialization (Cronbach's α = 0.840). Results: Of the total 135 points for professional self-concept, the mean score of the participants was 62.67±8.45 points. In the sub-area, flexibility was the highest at 19.28±2.46 points, and communication was the lowest at 9.69±1.44 points. Of 190 points, organizational socialization averaged at 123.40±12.82 points. In the subarea, personal characteristics were the highest at 30.37±3.71 points, and occupational identity was the lowest at 10.34±1.94. Higher age (F=30.89, p<0.000), marital status (F=10.22, p<0.002), graduate or higher educational qualification (F=9.16, p<0.000), were associated with a higher position (F=20.62, p<0.000) and work experience (F=22.66, p<0.0000), when there was no intention to turnover (F=8.05, p<0.000). Organizational socialization was higher in participants with higher age (F=7.89, p<0.000), educational qualification (F=8.02, p<0.000), and position (F=5.12, p<0.007); higher work experience in general hospital (F=4.50, p<0.012); no intention to turnover (F=7.450, p<0.000); and no intention to turnover (F=24.46, p<0.000). Organizational socialization showed a significant positive correlation with professional self-concept (r=0.721, p<0.000); job performance and skills (r=0.615, p<0.000) and organizational commitment and satisfaction (r=0.610, p<0.000) showed a high positive correlation. Turnover intention (β=0.213, p<0.000) was found to have a significant effect on organizational socialization. Leadership (β=0.168, p<0.05) and satisfaction (β=0.483, p<0.000) were found to have a significant effect. The total explanatory power of this variable was 62.7%. Conclusion: To ensure successful organizational socialization, human resource management should be performed through regular verification, which can result in improved quality of dental care services.

• Tunnel and Underground Space
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• v.31 no.6
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• pp.610-622
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• 2021

The DECOVALEX project is one of the representative international cooperative projects to enhance the understanding of the complex Thermo-Hydro-Mechanical-Chemical(THMC) coupled behavior in the high-level radioactive waste disposal system based on the numerical simulation. DECOVALEX-2023 is the current phase consisting of 7 tasks, and Task C aims to model the THM coupled behavior in the disposal system based on the Full-scale Emplacement (FE) experiment at the Mont-Terri underground rock laboratory. This study performs the numerical simulation based on the OGS-FLAC developed for the current study. In the numerical model, we emplaced the heater with constant power horizontally based on the FE experiment and monitored the pressure development, temperature increase, and mechanical deformation at the specific monitoring points. We monitored the capillary pressure as the primary effect inducing the flow in the buffer system, and thermal stress and pressurization were dominant in the surrounding rocks' area. The results will also be compared and validated with the other participating groups and the experimental data further.

• Smart Media Journal
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• v.11 no.5
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• pp.9-16
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• 2022

Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.