The Society of Convergence Knowledge Transactions ISSN:2287-8920(Print) 융복합지식학회논문지

This study is a descriptive survey designed to identify the influence of grit and communication competence on organizational commitment among nurses. A total of 155 nurses from a tertiary hospital in U City, Gyeonggi Province participated in this study. Data was collected between March 1st to March 31st, 2024. Statistical analyses were performed by utilizing Independence t-test, one-way ANOVA, Scheffe's test, Pearson’s correlation coefficient, and hierarchical multiple regression analysis with IBM SPSS Ver. 22.0 program. The results of this study showed that mean scores for communication competence 3.73, grit 3.14, and organizational commitment 3.46. Organizational commitment was positively correlated with grit and communication competence (r=.644, p<0.01 and r=.520, p<0.01). In conclusion, higher levels of grit and communication competence were associated with increased organizational commitment. Strategies to improve grit and communication competence should be explored to promote organizational commitment among nurses.

The introduction of smart greenhouses has enabled the accumulation of big data, leading to extensive research on enhancing crop productivity. In this study, we developed models for improving tomato productivity using environmental, growth, and yield data collected from tomato smart greenhouses over a six-year period from 2016 to 2022. Data from 93 farms were collected and standardized, then categorized into leading (top 20%) and normal farms (bottom 80%) based on yield. Environmental factors such as solar radiation, nighttime temperatures, and irrigation amounts, and growth factors such as growth length, number of leaves, thickness of stem, and stem length from the growing tip to the first inflorescence, showed a strong correlation with yield. We presented the average values of periods showing the highest correlation with yield for each growth stage as the optimal environment and suitable growth conditions. To provide optimal environment services tailored to farm conditions, we divided the environment into 12 zones based on solar radiation and outside temperature, and expressed the optimal environment corresponding to the maximum yield for each zone. The developed model is accessible to the public through a website (https://smartfarm.rda.go.kr), offering information on growth stages and optimal environments suitable for current conditions to farmers.

Urban railways play a pivotal role in public transportation because they can transport passengers in large quantities through eco-friendly means of transportation, and have higher energy efficiency and superior safety compared to road transportation. It seems that there are differences in the operating environment of urban rail operating institutions nationwide, such as congestion by subject, line, and time, and the ripple effect such as social costs caused by service failure. Therefore, it is required to establish appropriate maintenance directions and countermeasures for each system, device, and component by collecting data on the frequency of failure, failure phenomenon, and cause of failure for the delayed train operation due to the failure of the urban rail signal system and conducting a fatal analysis. The signal system of urban rail operating institutions nationwide operates the ATS, ATC, and ATP signal systems. Among them, after calculating the criticality of each device by using the accumulated failure data of the airport rail signal system that operates the ATP/ATO signal system in 2023, the device that needs improvement is selected to evaluate the appropriateness of the maintenance cycle, method, and level, and to suggest a direction for maintenance improvement.

The Consumer Price Index (CPI) is an important macroeconomic indicator used to measure changes in the prices of goods and services, and is utilized in economic trend analysis, as well as in the formulation and evaluation of government economic policies. In this study, we constructed and predicted an autoregressive error (ARE) time series model using data from January 2013 to December 2023 provided by the Bank of Korea Economic Statistics System. First, the autoregressive error time series model with a second-order trend was applied, and there were no problems with the significance of the regression coefficient and the explanatory power of the model. However, when conducting a residual analysis using the Portmanteau test to assess the model's fit, the results indicated the presence of autocorrelation. To improve the model, an autoregressive error time series model without a constant term including seasonality was applied to the second-order trend model. The estimation of regression coefficients using the backward elimination method showed significance at lags 1, 3, 4, and 9, and residual analysis indicated that the model was well-fitted, with no autocorrelation present at any lag. The consumer price index is predicted to rise from January to May 2024 and then fall from June.

This paper is a study on microstructural analysis of gel nail curing conditions and micro fragrance capsules. To analyze the microstructure according to the curing conditions of gel nails, gels cured using UV and LED lamps are manufactured and changes in microstructure are measured through water contact angle measurement, FT-IR analysis, AFM, SEM, and DSC analysis. An analysis was attempted. As a result, it was found that under UV curing conditions, the gel nail colloid particles were connected to each other in the form of a large mountain range, and under LED curing conditions, the gel nail colloid particles were finely connected to each other to form a long furrow shape. In addition, after successfully analyzing the microstructure of gel nail curing conditions, we conducted research on the manufacture and application of micro-fragrance capsules. First, microcapsules containing lemon scent were prepared, and then these microcapsules were added to the gel nail colloid solution to prepare gel nails containing lemon scent. First, the lemon scented emulsion was manufactured in W/O form, and melamine polymer was used as the shell material. It was confirmed through OM and DLS evaluation that the size of the lemon scented emulsion was 2 ㎛, and the size of the functional microcapsules with melamine polymer walls was confirmed to be a core-shell structure with a size of 5 to 6 ㎛. After coating this functional gel nail coating solution on a PS substrate, performing UV and LED curing, and analyzing the change in surface microstructure using AFM, it was confirmed that the functional gel nail coating solution containing micro-fragrance capsules was successfully manufactured.

This study was conducted to identify the factors affecting metabolic syndrome in Korean women in their 20s to 40s. The 9th Korea National Health and Nutrition Examination Survey (KNHANES) data were used and out of a total of 6,265 respondents, 1,111 female respondents aged 19 to 49 were analyzed.The collected data were analyzed using IBM SPSS Statistics 25.0. As a result of the study, the prevalence of metabolic syndrome was 8.2%, and the results of multivariate logistic regression analysis were conducted to reveal the factors affecting metabolic syndrome in women in their 20s to 40s, including age, health checkup, weight change over 1 year, frequency of binge drinking, and walking per week. The number of walking days per week was significant, and the goodness of fit and explanatory power of the regression model were 18.6% (Hosmer & Lemeshow p-value=0.818 Nagelkerke R2=0.159). The prevalence rate increased in the 30~39 year-old group. The group that did not receive a health checkup, the group that gained weight over the past year, and the frequency of binge drinking was once a week. The prevalence of metabolic syndrome was found to increase in the group that binge drank less or almost every day and in the group that walked less than 4 days per week. It is necessary to establish a prevention and management strategy for metabolic syndrome among young and middle-aged Korean women.

Recently, as deep learning technology is being utilized in classification systems in various fields, research is being actively conducted to maximize the performance of deep learning models. The performance of deep learning models is greatly affected by the amount and quality of training data, and the deeper and more complex the design of a deep learning model, the more training data is required. Additionally, if training data is insufficient or there is data imbalance between classes, over-fitting occurs and performance deteriorates. In order to improve classification performance in fields that utilize voice and audio, learning data expansion and imbalance between classes are important issues, and research to resolve these issues is essential. In this paper, we propose a W2GAN-GP augmentation model that effectively augments one-dimensional audio signals by improving the WGAN model designed for two-dimensional image augmentation. We propose a dual audio signal augmentation technique by performing the first augmentation on the original signal data using the time-frequency transform technique, and then performing the second augmentation using the proposed W2GAN-GP model. To verify the validity of the audio data generated by the proposed augmentation technique, classification accuracy was measured using ResNet50 and DenseNet classification models. As a result of verification through the classification model, it was confirmed that the accuracy increased by about 27 to 30% compared to the case where augmentation was not performed.

The clinic-level health insurance coverage rate has continued to decline to 55.5% as of 2021. Accordingly, this study was conducted to analyze the causes of the continuous decline in the health insurance coverage rate for primary care institutions, specifically clinic-level facilities, and to develop measures to enhance coverage. To achieve the research objectives, the study compared and analyzed the scale of medical expenses and cost compensation rates based on whether the services were covered by health insurance, using accounting data from 200 clinic-level medical institutions. As a result of the analysis, non-benefit income accounted for 34.8% (with benefit income making up 65.2%) of the total medical income. There was a significant variation depending on the medical department, ranging from 60.2% in dermatology to 16.4% in otolaryngology. The total cost-compensation rate was at the level of 107.3%, and there was also a significant difference between the health insurance benefit compensation rate (93.7%) and the non-benefit compensation rate (189.0%). A cross-tabulation of the cost-compensation levels of benefit and non-benefit services was created to analyze the relative position of each medical department in the four quadrants. The study confirmed the necessity of policy adjustments and control over non-benefit services for medical departments with high non-benefit compensation levels. Policy measures proposed to strengthen the coverage of clinic-level primary care institutions include the adjustment of health insurance fees to reflect reality, the public management of non-benefit services, the reformation of performance-based bundled payment systems, and the improvement of current coverage rate calculation indicators. To generalize future research results, it is necessary to secure a representative sample along with a detailed investigation of uncovered medical services by medical department.

The aim of the study is to examine the relationships between university students’ career stress, life satisfaction and depression symptoms, focusing on the mediating role that life satisfaction may play in the relationship between university students’career stress and depression symptoms. The participants are 307 university students (86 male, 221 female) from Seoul and Chungcheong Province. The participants completed self-report questionnaires on research variables. Results are as follows: First, university students' career stress effect on depression symptoms. Second, university students' life satisfaction effect on depression symptoms. Third, university students' career stress effect on life satisfaction. Forth, data from the mediation model showed that life satisfaction mediated the relationship between career stress and depression symptoms. Regarding this, the necessity of college students’ career development and was discussed.

This paper compares and analyzes the performance of various methods for calculating sentence similarity in the TextRank algorithm, which is widely used in extractive Korean document summarization systems. The dataset of performance evaluation is applied to news articles and editorials of AI Hub, and the effect according to document type is analyzed. And, the dataset is divided into two types according to the number of sentences in the document, and the effect on the length of the document is analyzed. The experimental results shows that Rouge score is the highest in the LSA and TF-IDF methods, and the effect of document length is little. The execution time of summarization is the shortest in the LSA method, which is shortened to 1/3 compared to the TF-IDF method. This is the reason that the LSA method can reduce the calculation amount through dimension reduction as well as reflect semantic similarity. Finally, we confirmed that the LSA method is the best in the extractive Korean document summarization based on TextRank.