• Korean Security Journal
• /
• no.21
• /
• pp.19-33
• /
• 2009

This study attempted to investigate the effect of class satisfaction of the students majoring in the studies of security services on the efficacy of career decision. To do this, I chose 430 security services of the students majoring by the systematic stratified cluster random sampling as the subject of study. All data were analyzed the causal relationship of the collected equation. In order to do a data analysis used descriptive statistics analysis, t-test, one-way ANOVA and multiple regression analysis of SPSS. As a result, the following conclusion was drawn: First, it was found that there was not a statistically significant(learning factor, interpersonal relation, aptitude factor) difference in their major class satisfaction and career decision efficacy(goal choice, future plan, working information) according to gender. Second, it was found that there was a statistically signifiant difference in such factors as learning, interpersonal relations and aptitude, in relation to the difference in subfactor such as major class satisfaction and career decision efficacy. Third, it was found that the learning, aptitude and career factors of major class satisfaction had a statistically significant effect on the future plan. Fourth, it was found that he learning and career factors of major class satisfaction had a statistically significant effect on the resolution of the goal. Fifth, it was found that the aptitude and career factors of major class satisfaction had a statistically significant effect on job information. Sixth, it was found that the career factors of major class satisfaction had a statistically significant effect on the problem-solution. Therefore, we must first give priority to improve the class satisfaction. By doing this, we can raise the efficacy level of career decision.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.8 no.3
• /
• pp.110-116
• /
• 1988

The response of forage yield was studied with various growth indices to develop yield model and to determine optimum cutting time in three cultivars of orchardgrass 1. Number of tiller per plant was the highest at 3rd cutting stage. But, it was decreased rapidly at 4th cutting stage. Leaf Area Index (LAI) was the highest at 3rd cutting stage. LA1 was increased slowly during 15 days to 20 days after cutting and thereafter increased rapidly. 2. In dry matter yield over cutting stages, 1st cutting and 3rd cutting stages were higher yield than others. Change of dry matter yield was similar to that of LA1 in all cutting stages. 3. Leaf Elongation Rate (LER) and Specific Leaf Weight (SLW) were reached to maximum at 20 to 25 days and 25 to 30 days after cutting, respectively, 4. Dry matter yield was highly correlated with LA1 (r=0.905)and with CGR (r=0.962) over three cultivars. Also, LA1 was significantly with LER. The best-fit yield model was obtained in multiple regression equation which included both dependent variables of LA1 and CGR. 5. Optimum cutting times which were determined by the relationships between D.M. yield and LAI, and between D.M. yield and CGR, were ranged from 32 days t o 36 days depend on each cutting stages.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.62 no.2
• /
• pp.79-86
• /
• 2017

This study was conducted to analyze seasonal and annual variations in rice quality and factors affecting the quality, for quality evaluation of the brand rice varieties produced in Jeonnam region. Coefficient of variation (CV) values for the seasonal variation in the rice quality were 3.1% in Toyo value, 2.1% in whiteness, 1.6% in protein content, 1.0% in moisture content, and 0.4% in head rice ratio. Quality characteristics of the brand rice varieties generally showed a decreasing tendency after April, as the months progressed. CV values for the annual variation in the rice quality were relatively high at 5.6% in protein content and 5.2% in Toyo value whereas those for whiteness and head rice ratio were relatively low, at 2.7% and 1.8%, respectively. Palatability and protein content showed high correlations with minimum air temperature, sunshine hours, rainfall, and daily temperature range. Head rice ratio had a negative correlation with daily temperature range whereas chalky rice ratio had a positive correlation with rainfall. Based on these results, we formulated a multiple regression equation to estimate palatability of cooked rice using protein content, whiteness, head rice ratio, and moisture content as follows: y = - 6.71a + 2.27b + 1.29c + 0.51d - 15.34 ($R^2$=0.51*) (y: palatability of cooked rice, a: protein content, b: moisture content, c: whiteness, d: head rice ratio).

• Journal of Digital Convergence
• /
• v.13 no.3
• /
• pp.221-229
• /
• 2015

This study was performed to determine the occupational stress and its association with human nature factors, mental health factors and fatigue among some hospital administrative staff. The survey was administered to 189 staff in Jeonbuk area from June 1st to July 31th, 2014. The level of occupational stress was positively correlated with human nature, mental health and fatigue. The results of hierarchical multiple regression analysis show the following. The occupational stress of respondents turned out to be significantly higher in following groups: a group of female, a group that chance locus of control is higher, a group that external locus of control is lower, a group of the lower self-esteem, a group of higher situational fatigue, a group of higher psycho-social stress, and a group of higher depression. Their explanatory power was 60.4%. With the analysis of covariance structure, we could confirm relationship among the four factors such as human nature, mental health, fatigue and occupational stress. Also, the analysis showed that human nature factors were more influential on the occupational stress than mental health factors and fatigue.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.24 no.5
• /
• pp.785-789
• /
• 1995

In order to optimize the batch expression of sesame oil, recovery of expressed oil(REO) from roasted and unroasted sesame seeds were observed at different temperature, pressure, pressing duration and moisture content, and relatinship between REO and effects of expression factors were analysed. REO was high at 2.5~4.5% moisture content, 30~$50^{\circ}C$ and 30~50MPa, and decreased abruptly with increasing moisture content above 4.5%. The optimum temperature, pressure, pressing duration and moisture content were $40.1^{\circ}C$, 54.4MPa, 21.7min and 1.3% for unroasted seeds and $44.4^{\circ}C$, 37.8MPa, 14.4min and 2.52% for roasted seeds, respectively. REO in optimum condition was 84.6% in unroasted seed and 81.7% in roasted seed. From the statistic analysis between effects of expression factors and REO, importance of their effects was decreased in the order of moisture content, pressure, temperature and pressing duration. And also interaction effects were high in $pressure{\times}moisture$ content, $temperature{\times}moisture$ content and temperature pressure. The multiple regression equation between REO(Y) and temperature(T), pressure(P), moisture content(M), and pressing duration(D) were as follows ; $Y=18.20$ $35.66P$＋$24.52M-4.45P^{2}-1.20TM-4.02PM-6.62M^{2},\;r^{2}=0.89$, for unrosated sesame seed, $Y=117.93$＋$16.40P-58.61M-2.75P^{2}$＋$1.79TM-1.65PM$＋$7.16M^{2},\;r^{2}$$=0.91$ for roasted sesame seed.

• Journal of Digital Convergence
• /
• v.18 no.3
• /
• pp.259-266
• /
• 2020

This paper attempted to find the convergence factors related to the organizational citizenship behavior of hospital administration staff(HAS). The survey was conducted on 274 administrative staff at 22 hospitals in J regions randomly selected using self-administered questionnaires. The survey period took about a month from July 1 to July 31, 2019. The hierarchical multiple regression analysis shows the following results. The organizational citizenship behavior of respondents turned out to be significantly higher in following groups: The higher the procedure justice, sub-areas of organization justice, the higher the intragroup trust, and the higher the organizational commitment. Their explanatory power was 41.9%. The results of the study indicate that the efforts, to increase organization justice, intragroup trust and organizational commitment, are required to improve organizational citizenship behavior among HAS. The above results are expected to be utilized in human resource management and industrial health education of medical institutions that enhance organizational citizenship behavior of HAS. Later research requires the establishment of a structural equation model that affects organizational citizenship behavior of HAS.

• Journal of Digital Convergence
• /
• v.15 no.4
• /
• pp.365-375
• /
• 2017

This study is executed to investigate convergent factors to Job Satisfaction(JS) among Hospital Administrative Staff(HAS). The survey was administered to 221 staff from 11 general hospitals located in Jeonbuk area from Nov. 1st, 2016 to Jan. 31st, 2017. The structured self-administered questionaries were used. The hierarchical multiple regression analysis shows the following results. The JS of respondents turned out to be significantly higher in following groups: a group without work shift, a group with more employees, a group in which self efficacy is higher, a group in which skill variety in job characteristics is higher, a group in which interpersonal conflict and lack of reward in occupational stress are lower. The results show explanatory power of 61.0%. The results of the study indicate that the efforts, to increase self efficacy, and to manage job characteristics and occupational stress, are required to improve the JS among HAS. The results are expected to be useful for the program and human resource management to related to the JS among HAS. In the following study, the analysis of structural equation modeling about additional factors of the JS among HAS will be needed.

• Culinary science and hospitality research
• /
• v.21 no.1
• /
• pp.174-190
• /
• 2015

This study looks at a causal relationships between service quality and behavior intention(re-visiting, recommendation, loyalty) to attract customers and make them loyal customers in the context of Japanese restaurants. The study includes 250 consumers who have experience in Japanese restaurants located in Busan to conduct survey for empirical testing. To achieve the purpose of current study, frequency test, multiple/simple regression analysis, and factor analysis were conducted with SPSS 18.0 statistical program. Structure Equation Model analysis has been employed for hypothesis testing. Results showed that the service of employee has been recognized as an primary factor among elements of Japanese restaurants' service quality to satisfy customer, and employee's service is the strongest affecting factor to consumers' behavioral intention as well. In addition, the food quality identified as an the strongest factor that affects behavior intention, whereas physical environment is the lowest factor. It can be interpreted that the quality of food is very important element to make their consumers revisit or recommend the restaurant to others. In this study, especially, the service of the employee has been identified as an key factor to customer satisfaction and behavioral intention. Therefore, CEO or restaurateurs of Japanese restaurants have to consider the importance of service quality and food quality to make more patrons as well as their business success.

• Journal of Korea Water Resources Association
• /
• v.38 no.1
• /
• pp.1-9
• /
• 2005

The study shows the possible use of the index flood frequency curves for an estimation of flood quantiles at ungauged locations. Flood frequency analysis were made for the annual maximum flood data series at 9 available stations in the Han river basin. From the flood frquency curve at each station the mean annual flood of 2.33-year return period was determined and the ratios of the flood magnitude of various return period to the mean annual flood at each station were averaged throughout the Han river basin, resulting mean flood ratios of different return periods. A correlation analysis was made between the mean annual flood and physiographic parameters of the watersheds i.e, the watershed area and mean river channel slope, resulting an empirical multiple linear regression equation over the whole Han river basin. For unguaged watershed the flood of a specified return period could be estimated by multiplying the mead flood ratio corresponding the return period with the mean annual flood computed by the empirical formula developed in terms of the watershed area and river channel slope. To verify the applicability of the methodology developed in the present study the floods of various return periods determined for the watershed in the river channel improvement plan formulation by the Ministry of Construction and Transportation(MOCT) were compared with those estimated by the present method. The result proved a resonable agreement up to the watershed area of approximately 2,000k $m^2$. It is suggested that the practice of design flood estimation based on the rainfall-runoff analysis might have to be reevaluated because it involves too much uncertainties in the hydrologic data and rainfall-runoff model calibration.

• Food Science and Preservation
• /
• v.10 no.2
• /
• pp.125-130
• /
• 2003

This study was carried out to investigate the thermo-physical properties and design Freezing time prediction model from data of freezing test of Kimchi. Density of Kimchi were measured as 1001.9 ${\pm}$0.03 kg/㎥ at unfrozen state, 987.0 ${\pm}$0.07 kg/㎥ at frozen state and volume of the Kimchi expanded 4.67% at -l5$^{\circ}C$. Initial freezing point of Kimchi and seasoning were -4.0$^{\circ}C$ and -2.5$^{\circ}C$, respectively. Freezing ratio of Kimchi were estimated more than 50％ at -5.0$^{\circ}C$, more than 75% at -l0$^{\circ}C$ and approximately 90% at -25$^{\circ}C$. To obtain equation for freezing time prediction of Kimchi, freezing time(Y) was regressed against the reciprocal( $X_3$) of difference of initial freezing point and freezing medium temperature, reciprocal( $X_4$) of surface heat transfer coefficient, the initial temperature( $X_1$) and thickness( $X_2$) of samples. As results of the multiple regression analysis, equations were obtained as follows. Y$_{kimchi}$=3.856 $X_1$+13982.8 $X_2$+8305.166 $X_3$+ 3559.181 $X_4$-639.189( $R^2$=0.9632). These equations shown better results than previous models, and the accuracy of its was very high as average absolute difference of about 10% in the difference between the fitted and experimental results.