• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.75-84
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• 2019

This study aimed to identify the factors affecting the nursing performance and the convergence relationships of leisure satisfaction, job stress, and nursing performance among nurses. Participants included 150 nurses working at 2 hospitals in C city from August 3 to September 15, 2018. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA with Scheffe's test, Pearson correlation coefficients, and multiple regression by SPSS 23.0 program. Nursing performance were significantly differences in age (F=4.78, p=.003), marital status (F=2.74, p=.007), length of clinical career (F=3.34, p=.012), and health condition (F=5.23, p=.002). Nursing performance was a positively correlated with leisure satisfaction (r=.32, p<.001) and a negatively correlated with job stress (r=-19, p=.020), and job stress was a negatively correlated with leisure satisfaction (r=-.32, p=.005). The factors affecting the nursing performance of clinical nurses were age (${\beta}=.20$, p=.008) and leisure satisfaction (${\beta}=.28$, p<.001), and these variables explained about 19.6% of the variance in nursing performance. In order to improve nursing performance, it is necessary to provide working environment and institutional support for increasing leisure satisfaction and reducing job stress and age-differentiated approaches.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.28-36
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• 2018

There was a difference in recognition of respirators according to the educational performance environment. they were showed higher recognition of respirators of group by internal and external mix trainer, less than 6 months, over 1hour, more than 5 times, variety of education. To identify the relationship between types of job classification(typical and atypical)and the levels of recognition of respirators, a total of 153 workers in a business workplace. mainly, typical workers showed higher recognition of respirators than atypical workers. Training of correct wearing showed high demands both typical and atypical workers. Descriptive statistics(SAS ver 9.2)was performed. the results of recognition of respirators were analyzed the mean and standard deviation by t-test, and anova, fit factor is used geometric means(geometric standard deviation), paired t-test, Wilcoxon analysis(P=0.05). Particulate filtering facepiece respirators (PFFR) is one of the most widely used items of personal protective equipments, and a tight fit of the respirators on the wearers is critical for the protection effectiveness. In order to effectively protect the workers through the respirators, it is important to find and evaluate the ways that can be readily applicable at the workplace to improve the fit of the respirators. This study was designed to evaluate effects of mask style (cup or foldable type) and donning training on fit factors (FF) of the respirators, since these are available at various workplace, especially at small business workplace. A total of 40 study subjects, comprised of employment type workers in metalworking industries, were enrolled in this study. The FF were quantitatively measured before and after training related to the proper donning and use of cup or foldable-type respirators. The pass/fail criterion of FF was set at 100. After the donning training for the cup-type mask, fit test were increased by 769%. but foldable-type mask was also increased after the donning training, the GM of FF for the foldable-type mask and it's increase rate were smaller as compared to the cup-type mask. Furthermore, the differences of the increase rates of the GM of FF in employment type of the subjects were not significantly for the foldable-type mask. These results imply that the raining on the donning and use of PFFR can enhance the protection effectiveness of cup or foldable-type mask, and that the training effects for the foldable-type mask is less significant than that for the cup-type mask. Therefore, it is recommended that the donning training and fit tests should be conducted before the use of the PFFR, and listening to workers opinion regularly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.795-804
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• 2018

The purpose of this study was to identify the dementia knowledge, attitudes and preventive behaviors of hemodialysis patients. The participants were 128 hemodialysis patients at the Artificial Kidney Center in G hospital of P city. Data were collected by self-report questionnaires from September 22 to October 10, 2017. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and Hierarchical regression analysis with SPSS/WIN 23.0. Dementia knowledge was significantly different by education level (F=4.58, p<.01). The attitude toward dementia was different by age (F=3.08, p<.05) and education level (F=6.64, p<.01). The preventive behaviors were different by gender (t=-2.30, p<.05). Dementia knowledge was positively correlated with attitude toward to dementia (r=.189, p<.05) and attitude toward dementia was positively correlated with preventive behaviors (r=.280, p<.01). The influencing factor for preventive behaviors was attitude toward dementia (${\beta}=.319$, p<.01). Therefore, in order to promote dementia preventive behaviors in hemodialysis patients, an education program should be developed to improve dementia knowledge and positive attitude toward dementia.

• Journal of Life Science
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• v.29 no.2
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• pp.202-208
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• 2019

Brown planthopper (BPH), Nilaparvata lugens Stål (Hemiptera: Delphacidae), is one of the most important migratory pests damaging rice in Korea. It invades annually from tropical and subtropical areas via continental air streams. It is necessary to determine the resistance levels of rice varieties in order to control efficiency. The honeydew excretion, development, and reproduction of the migratory BPH were studied by region in a laboratory at $25{\pm}2^{\circ}C$ and $65{\pm}5%\;RH$ and a 16L: 8D photoperiodism conducted on three BPH resistant genes: Bph1, Bph2, and Bph18. The information obtained was reported using the jackknife method, and we created life table statistics accordingly. The feeding amount of Bph1 resistant gene was lower than that of resistant genes. The developmental periods of immature stages ranged from $13.7{\pm}0.10d$ on Bph2 (Namhae, 2015) to $18.5{\pm}1.06d$ on Bph2 (Sacheon, 2016). Reproductive period and female longevity were longest on the non-resistant genes, Bph2 and Bph18 (except 1980s), and the highest fecundity of N. lugens was observed on the two BPH resistant genes. Highest net reproductive rates ($R_0$) were calculated on Bph2 by region. Intrinsic rates of population increase ($r_m$) showed a difference in resistant genes by region. These population parameters showed that migratory regions and biological characteristics of N. lugens vary annually.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.201-221
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• 2019

The Korea Institute of Civil Engineering and Building Technology provides the documents and information on the construction technology through the Construction Technology Digital Library System to enhance the technological competitiveness of the construction engineers. The purpose of this study is to measure the monetary value of information service quality in order to improve the documents and information service quality provided by this system. For this purpose, a questionnaire model was designed to apply the DBDC- CVM. We surveyed the members of 300 this systems for the amount of information that they are willing to pay to maximize the quality of information service. The correlation between the dependent variable and the explanatory variables was analyzed with the basic statistics of the survey results. The independent variables affecting the dependent variable are statistically significant. The logit model is used to estimate the monetary value of individual respondents who are willing to pay for information service quality. In previous research, we measured the use value of information service. On the other hand, this study shows that the measurement of value based on information service quality is different from previous research.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.23-30
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• 2019

The purpose of this study was to examine job stress, job satisfaction, and turnover intention of the nurses who work at the comprehensive nursing service units in two academic medical institutions that provide healthcare service at the tertiary care level in Korea. A descriptive study was conducted with the nurses by using self-reported questionnaires. We used descriptive statistics to summarize the data and Mann-Whitney U test for group comparison. The mean scores of job stress, job satisfaction, and turnover intention were $89.17{\pm}12.56$, $107.25{\pm}6.85$, $37.19{\pm}4.86$, respectively. Nurses with religion showed more job stress than those without. Nurses with their age below 30 years old had significantly less job satisfaction than those older than 30 years old. Monthly income was significantly associated with turnover intention in our data. The top three sub-category of the job stress were conflict with physicians, patients and their caregivers, and conflicts with others; and those of the job satisfaction were pay and promotion and task requirement. Job stress, job satisfaction, and turnover intention were significantly correlated. In order to reduce turnover intention of nursing professionals in the comprehensive nursing service, job stress related to issues on relationships with patients, their family, health care providers need to be taken into consideration. Policy and administrative support are needed to improve their work environment.

• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.21-33
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• 2021

Rice straw management and winter crop cultivation are crucial components for the accurate estimation of paddy methane emissions. Field-based extensive investigation of paddy organic matter management requires enormous efforts however it becomes more feasible as drone technology advances. The objectives of this study were to identify paddy fields of straw application and winter crop cultivation using drone images and to apply for the estimation of yearly methane emission. Total 35 sites of over 150ha in area were selected nationwide as the study areas. Drone images of the study sites were taken twice during summer and winter in 2018 through 2019: Summer images were used to identify paddy cultivation areas, while winter images for straw and winter crop practices. Drone-image-based identification results were used to estimate paddy methane emission and compared with conventional method. As the result, mean areas for paddy, straw application and winter crop cultivation were 118.9ha, 12.0ha, and 11.3ha, respectively. Overall rice straw application rate were greater in Gyeonggi-do(20%) and Chungcheongnam-do(12%), while winter crop cultivation was greatest in Gyeongsangnam-do(30%) and Jeolla-do(27%). Yearly mean methane emission was estimated to be 226.2kg CH₄/ha/yr in this study and about 32% less when compared to 331.8kg CH₄/ha/yr estimated with the conventional method. This was primarily because of the lower rice straw application rate observed in this study, which was less than quarter the rate of 55.62% used for the conventional method. This indicates the necessity to use more accurate statistics of rice straw application as well as winter crop practices into paddy methane emission estimation. Thus it is recommended to further study to link drone technology with satellite image analysis in order to identify organic management practices at a paddy field level over extensive agricultural area.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.27-32
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• 2020

This paper compare the adaptive equalization performance according to the values of adaptive step variation speed for adapting in VS-CCA (Variable Stepsize-Compact Constellation Algorithm) based on nonlinear function function of error signal. The VS-CCA algorithm compacts the 16-QAM nonconstant modulus signal into the 4 groups of 4-QAM constant modulus signal constellation in quadature plane, then the error signal is generated using the constant modulus of transmitted signal statistics. The adaptive equalizer coefficient were updated in order to achieve the minimum cost function by varying step based on the nonlinear function of error signal. In this time, the instantaneous adaptive step is determined according to the value of step variation speed of nonlinear function and the different equalization performance were obtained according to the step variation speed value. The equalizer internal index and external index which represents the robustness of external noise were used for the performance comparison index. As a result of computer simulation, it was confirmed that the value of variation speed less than 1.0 give more superior in every performance index compared to the greater than 1.0 in steady state.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.145-156
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• 2021

Forest fires have frequently occurred around the world, and the damages are increasing. In Korea, most forest fires are initiated by human activities, but climate factors such as temperature, humidity, and wind speed have a great impact on combustion environment of forest fires. In this study, therefore, based on statistics of forest fires in Gyeonggi-do over the past five years, meteorological and hydrological factors (i.e., temperature, humidity, wind speed, precipitation, and drought) were selected in order to quantitatively investigate causal relationships with forest fire. We applied a partial least squares structural equation model (PLS-SEM), which is suitable for analyzing causality and predicting latent variables. The overall results indicated that the measurement and structural models of the PLS-SEM were statistically significant for all evaluation criteria, and meteorological factors such as humidity, temperature, and wind speed affected by amount of -0.42, 0.23 and 0.15 of standardized path coefficient, respectively, on forest fires, whereas hydrological factor such as drought had an effect of 0.23 on forest fires. Therefore, as a practical method, the suggested model can be used for analyzing and evaluating influencing factors of forest fire and also for planning response and preparation of forest fire disasters.