• Journal of the Korean Applied Science and Technology
• /
• v.40 no.6
• /
• pp.1201-1212
• /
• 2023

This study aimed to analyze the changes in underwater anxiety and water safety consciousness among college students through participation in survival swimming education and the relationship between these changes and various factors. To achieve this, 200 college students who were participating in survival swimming education from universities located in the Busan-Ulsan-Gyeongnam region were selected as participants using convenience sampling. Among them, a final valid sample of 191 students was utilized. Data analysis was conducted using SPSS 25.0 statistical software, including exploratory factor analysis, reliability analysis, paired sample t-test, repeated measures ANOVA. The results are as follows: Firstly, college students who participated in survival swimming education showed a decrease in post-test underwater anxiety and an increase in water safety consciousness compared to pre-test. Secondly, the interaction between the groups based on the presence or absence of swimming education experience and time showed a significant effect only in the safety education, a sub-factor of water safety consciousness. Based on these results, the effectiveness of survival swimming education for college students could be confirmed, and further directions for expanding survival swimming education in university settings could be considered.

• Journal of Digital Convergence
• /
• v.22 no.1
• /
• pp.33-38
• /
• 2024

In recent years, as more and more middle-aged people who worked at companies are retiring, they are becoming interested in starting their own businesses, and the rate of middle-aged people starting businesses is increasing. The purpose of this study was to analyze the quality and satisfaction of educational services and trust in educational institutions in providing entrepreneurship education to prospective entrepreneurs over the age of 40 who want to start a business, and to analyze the impact of entrepreneurship education on entrepreneurship in the future. Afterwards, the goal is to establish an education strategy to improve the quality of entrepreneurship education. To achieve the purpose of the study, a hypothesis was established and an empirical analysis was conducted on educated prospective entrepreneurs and retirees over 40 years of age. As a result of the analysis, it was confirmed that confidence and reliability ultimately influence the factors that increase satisfaction with entrepreneurship education for middle-aged and older people. Satisfaction was found to play a meaningful role in trust. The research points out that entrepreneurship education institutions should provide education centered on the trainees rather than entrepreneurship education centered on support organizations. Moreover, due to the diversity of education, not only the content and method of education but also the education of employees working in supporting organizations is important.

• Nuclear Engineering and Technology
• /
• v.55 no.12
• /
• pp.4447-4464
• /
• 2023

This paper focuses on the development of a new computational model of the CNESTEN's TRIGA Mark II research reactor using the 3D continuous energy Monte-Carlo code TRIPOLI-4 (T4). This new model was developed to assess neutronic simulations and determine quantities of interest such as kinetic parameters of the reactor, control rods worth, power peaking factors and neutron flux distributions. This model is also a key tool used to accurately design new experiments in the TRIGA reactor, to analyze these experiments and to carry out sensitivity and uncertainty studies. The geometry and materials data, as part of the MCNP reference model, were used to build the T4 model. In this regard, the differences between the two models are mainly due to mathematical approaches of both codes. Indeed, the study presented in this article is divided into two parts: the first part deals with the development and the validation of the T4 model. The results obtained with the T4 model were compared to the existing MCNP reference model and to the experimental results from the Final Safety Analysis Report (FSAR). Different core configurations were investigated via simulations to test the computational model reliability in predicting the physical parameters of the reactor. As a fairly good agreement among the results was deduced, it seems reasonable to assume that the T4 model can accurately reproduce the MCNP calculated values. The second part of this study is devoted to the sensitivity and uncertainty (S/U) studies that were carried out to quantify the nuclear data uncertainty in the multiplication factor k_eff. For that purpose, the T4 model was used to calculate the sensitivity profiles of the k_eff to the nuclear data. The integrated-sensitivities were compared to the results obtained from the previous works that were carried out with MCNP and SCALE-6.2 simulation tools and differences of less than 5% were obtained for most of these quantities except for the C-graphite sensitivities. Moreover, the nuclear data uncertainties in the k_eff were derived using the COMAC-V2.1 covariance matrices library and the calculated sensitivities. The results have shown that the total nuclear data uncertainty in the k_eff is around 585 pcm using the COMAC-V2.1. This study also demonstrates that the contribution of zirconium isotopes to the nuclear data uncertainty in the k_eff is not negligible and should be taken into account when performing S/U analysis.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.26 no.3
• /
• pp.209-218
• /
• 2024

The National Institute of Agricultural Sciences (NAS) operates in-house long-range climate forecasting system to support the agricultural use of climate forecast data. This system, developed through collaborative research with Pusan National University, is based on the PNU/RDA Coupled General Circulation Model (CGCM) and includes the regional climate model WRF (Weather Research and Forecasting). It generates detailed climate forecast data for periods ranging from 1 to 6 months, covering 20 key variables such as daily maximum, minimum, and average temperatures, precipitation, and agricultural meteorological elements like solar radiation, soil moisture, and ground temperature-factors essential for agricultural forecasting. The data are provided at a daily temporal resolution with a spatial resolution of a 5km grid, which can be used in point form (interpolated) or averaged across administrative regions. The system's seasonal temperature and precipitation forecasts align closely with observed climatological data, accurately reflecting spatial and topographical influences, confirming its reliability. These long-range forecasts from NAS are expected to offer valuable insights for agricultural planning and decision-making. The detailed forecast data can be accessed through the Climate Change Assessment Division of NAS.

• Journal of Bio-Environment Control
• /
• v.32 no.4
• /
• pp.423-433
• /
• 2023

As aerial application increasing, with social concerning in pesticide drift rises, so this study attempts to establish a test bench that can repeatedly and continuously evaluate this. To this end, this study first analyze ISO 22866 and ASABE S561.1 among the international standard test methods related to pesticide fugitive evaluation. A test bench was established at the Naju practice field of Chonnam National University in accordance with international standards, and field tests were carried out (ISO 22866, ASABE S561.1) to verify effectiveness. A test bench that established in this study and a pesticide drift recovery protocol by aerial application can improve the experimental environment where field experiments were complex and it was difficult to achieve the same conditions. In addition, it will be possible to construct a database of pesticide drift that takes into account various factors that affect pesticide drift substances, which is expected to improve the reliability of the data, as well as quantitative evaluation of pesticide drift in the air.

• Journal of Periodontal and Implant Science
• /
• v.54 no.4
• /
• pp.236-252
• /
• 2024

Purpose: Enamel matrix derivative (EMD) has demonstrated beneficial effects on wound healing following surgery. However, the effects of recombinant human fibroblast growth factor 2 (rhFGF-2) in periodontal regeneration therapy have not been extensively studied. This retrospective study was conducted to compare the wound healing outcomes of the modified papilla preservation technique (mPPT) between EMD and rhFGF-2 therapies. Methods: A total of 79 sites were evaluated for early wound healing using the modified early wound healing index (mEHI), which included 6 items: incision, fibrin clotting, step, redness, swelling, and dehiscence. A numeric analog scale, along with postoperative images of the 6 mEHI items, was established and used for the evaluations. The inter-rater reliability of the mEHI was assessed via intraclass correlation coefficients (ICCs). After adjusting for factors influencing the mPPT, the differences in mEHI scores between the EMD and rhFGF-2 groups were statistically analyzed. Additionally, radiographic bone fill (RBF) was evaluated 6 months after surgery. Results: The ICC of the mEHI was 0.575. The mEHI, redness score, and dehiscence scores were significantly higher in the rhFGF-2 group (n=33) than in the EMD group (n=46). Similar results were observed in the subgroup of patients aged 50 years or older, but not in those younger than 50 years. In the subgroup with non-contained bone defects, related results were noted, but not in the subgroup with contained bone defects. However, early wound healing did not correlate with RBF at 6 months after surgery. Conclusions: Within the limitations of this study, the findings suggest that early wound healing following the use of mPPT with rhFGF-2 is somewhat superior to that observed after mPPT with EMD. However, mEHI should be improved for use as a predictive tool for early wound healing and to reflect clinical outcomes after surgery.

• Journal of Internet of Things and Convergence
• /
• v.10 no.4
• /
• pp.55-63
• /
• 2024

The purpose of this study is to divide the generations into Generation M and Generation Z and analyze the similarities and differences in the experiences, values, and fun through dance. To this end, the characteristics of the MZ generation were confirmed in detail, and the relationship between perceived value and fun factors was verified through various experience elements to suggest implications for the growth of dance. The subjects of the study were those who had experience with dance or had participated in dance classes. The survey was conducted from May 1 to May 30, 2024. Exploratory factor analysis, reliability analysis, multiple regression analysis, and difference analysis were conducted to verify the hypothesis. The research results are as follows. First, it was confirmed that for the MZ generation, educational and esthetic experiences of dance influenced the value. Second, it was confirmed that for the MZ generation, educational and esthetic experiences of dance had an impact on enjoyment. Third, in the experience factor, the differences of the MZ generation were shown in entertainment, educational, aesthetic, and esthetic experiences. Fourth, in the value factor, the differences of the MZ generation were shown in artistic values. Fifth, in the fun factor, the differences of the MZ generation were shown in a sense of accomplishment. finally, the commonalities of the MZ generation were shown in the value factor as physical, emotional, and sociocultural values. In the fun factor, they were shown as physical and mental fun and social cultivation. Through this study on generational differences in dance, it was confirmed that dance is an important means of providing social and cultural values beyond a simple art form, and the possibility of growth through differentiated competitiveness was presented.

• Journal of the Korean Geotechnical Society
• /
• v.40 no.5
• /
• pp.93-101
• /
• 2024

Numerical analysis methods are widely used to assess the safety of hydrogen storage facilities; however, obtaining data under various conditions poses significant challenges. This study aims to expand the dataset using oversampling algorithms and utilize these enhanced datasets as diverse input parameters for numerical analysis. The oversampling techniques applied include SMOTE, Borderline-SMOTE, ADASYN, and CTGAN, with data amplified by factors of 2, 5, and 100 relative to the original dataset. This approach increases data volume based on the characteristics of the existing data, which may consequently introduce outliers. To address this, statistical methods such as the 3-sigma rule and the confidence level method are employed to identify and remove outliers beyond the normal distribution range. The reliability of the conditions generated through data amplification and outlier analysis is evaluated by comparing them with trends observed in the original dataset. Additionally, the SHAP algorithm is utilized to analyze changes in the importance values of each parameter. The SHAP values derived from the original dataset and those processed through AI techniques and outlier analysis exhibit similar trends, validating the proposed methodologies. The methods proposed in this paper are applicable not only to hydrogen storage facilities but also to the systematic construction of data for assessing the stability of various geotechnical structures.

• Culinary science and hospitality research
• /
• v.22 no.3
• /
• pp.66-78
• /
• 2016

The purpose of this study was to provide hotel bakery organizations with useful information for human resources management based on a substantial clarification of the relationship and correlation of hotel bakery employees' self-leadership, self-efficacy, and organizational commitment. Resources were gathered from June 20, 2015 to July 10, 2015 by distributing a total of 500 surveys, from which 377 were collected. Excluding 23 survey forms not suitable for the analysis, 354 survyes were processed through factor analysis, reliability test, and multivariant structural analysis using SPSS 18.0 and AMOS 18.0 to verify the hypotheses. The findings of the analysis can be summarized as follows: first, behavior-centered strategies, natural compensation, and constructive thinking strategies had a significantly positive impact on self-efficacy. Second, in the analysis of impact of self-efficacy on organizational commitment, it was significant for emotional immersion, but did not have a significantly positive impact on normative immersion. Third, in the relationship between self-leadership and organizational commitment, behavior-centered strategies and natural compensation did not have a significant impact on emotional immersion. However, constructive thinking strategies had a significant impact. The following implications can be derived based on the above findings: this study implies the possibility of future studies on the variables of self-efficacy as it set behavior-centered strategies, natural compensation, and constructive thinking strategies as the preliminary factors under hotel bakery employees' self-leadership; and it analyzed the causality of each factor with emotional immersion and normative immersion as the subordinate factors of self-efficacy and organizational commitment to show that self-leadership and self-efficacy of hotel bakery employees based on emotional immersion and normative immersion can stably improve the organization of hotel bakeries.

• Journal of Global Scholars of Marketing Science
• /
• v.19 no.1
• /
• pp.9-21
• /
• 2009

Recently, the researches to explain Switching Behavior through Theory of Planned Behavior have been discovered. Many researches say that System factors of mobile telecommunication service(MTS) is positively associated with Switching Intention. But There is no difference of system factors between mobile telecommunication services because of IT technique Development. Thus, this study investigated whether switching cost and alternative's attractiveness influence switching intention concerning mobile telecommunication service by adopting Theory of Planned Behavior (TPB) as an underlying theoretical premise. The study also attempted to determine the moderating effects of personal innovativeness on switching intention. For these purposes the author has developed several hypotheses as follows: H-1. The switching cost of different MTS is associated with the attitude of MTS which is using. H-2. The switching cost of different MTS is associated with the subjective norm of MTS which is using. H-3. The switching cost of different MTS is associated with the perceived behavior control of MTS which is using. H-4. The alternative's attractiveness of different MTS is associated with the attitude of MTS which is using. H-5. The alternative's attractiveness of different MTS is associated with the subjective norm of MTS which is using. H-6. The alternative's attractiveness of different MTS is associated with the perceived behavior control of MTS which is using. H-7. The switching cost of different MTS is associated with the switching intention. H-8. The alternative's attractiveness of different MTS is associated with the switching intention. H-9. The attitude of MTS is associated with the switching intention. H-10. The subjective norm of MTS is associated with the switching intention. H-11. The perceived behavior control of MTS is associated with the switching intention. H-12. The personal innovativeness has been a moderating effects to switching intention. Data has been collected from 403 respondents for this study using a questionnaire method. The survey for the actual analysis of the research was done and analyzed with the customers who have an experience of using Mobile telecommunication service and the samples were selected among the middle and high school students who live in Seoul area, the university students who live in Seoul, Gyeonggi and Chungcheng Provinces, and the ordinary workers who are working in Seoul and Gyeonggi Province. The survey was done for 23 days from March 28, 2008 through April 12, 2008. The positive analysis was done with SPSS 12.0K statistics package and visual PLS program using the analysis techniques of frequency analysis, reliability analysis, correlation analysis and factor analysis. In addition, structural equation modeling was conducted using AMOS 5.0. The data was analyzed by frequency analysis using SPSS 12.0 and structural equation modeling using AMOS 5.0. The result of the overall model analysis is as follows: Chi-Square=378.306, d.f.=107, p-value=0.0, GFI=.904, AGFI= 0.863, IFI= 0.939, NFI= 0.917, RMSEA= 0.079, TLI= 0.922. The results of the overall model analysis were coherent. The following study results were revealed: First, switching cost was related positively to attitude, subjective norm and perceived behavior control, three components of TPB. Second, alternative's attractiveness was related negatively to subjective norm but positively to perceived behavior control. Third, switching cost and attitude was related negatively to switching intention, while perceived behavior control was related positively to switching intention. Finally, the study found the moderating effects of personal innovativeness on switching intention. Based on the results, the study offers marketing strategic implications for mobile telecommunication service industry.