• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8585-8595
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• 2015

This study was implemented to amass and analyze the data from 500 Seoul district beauty shop workers, which came from the use of the SPSS18.0. The statistical analysis was conducted through frequency for demographic characteristics, validity for factors analysis by using Varimax rotation, and reliability for Cronbach's alpha coefficient.. Also, the analysis was once again analyzed through the Pearson correlation coefficient, where our hypothesis was proven through regression analysis. Our research results have shown that, first, job satisfaction and job performance differed over matters like gender, age, education level, employment conditions, job category, overall work experience, daily work hours, and monthly income. Second, job satisfaction was shown to have a significant influence on job performance, where higher job satisfaction levels led to higher job performance. Thus, job satisfaction was a great factor to increase job performance by fulfilling their needs level. Also, they would act more positive and future-oriented when they have special needs like motivate achievement, wage, promotion, and reward. Therefore, managerial staff should continually develop any programs in order to upgrade beautician's job performance through their job satisfaction.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.245-260
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• 2012

This study aims to analyze the change in the correlation between the index values and qualitative quantitative evaluation elements by applying 'the decile of total number of articles' instead of the average annual number of articles in Kor-Factor2, and to evaluate the distinction ability between registered journals and register nominee journals of the KCI. The correlation between the index values and qualitative quantitative evaluation elements was analyzed by calculating the correlation coefficient between the index values and the evaluation elements, and then the correlation was compared with that of Kor-Factor2. To evaluate the distinction ability, we carried out independent samples t-test on the mean difference between index values of register nominee journal group and registered journal group and compared the mean difference with that of Kor-Factor2, IF and journal h-index. As a result, we found that the modified index applying the decile of total number of articles was effective in improving the balance among the correlation between the index values and qualitative quantitative evaluation elements compared to Kor-Factor2, and the new index appeared to be superior to other indexes on distinction ability of the journal's registration condition in the KCI.

• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1131-1141
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• 2012

In this study, factors that influence water supply capacities of dams are extracted using factor analysis, and multiple regression equations for estimating water supply capacities of dams are developed using the analysis results. Twenty-one multi-purpose dams and twelve Municipal and Industrial (M&I) water supply dams are selected for case studies, and eight variables influencing water supply capacities of dams, namely: watershed area, inflow, effective reservoir storage, grade on amount of M&I water supply, grade on amount of agricultural water supply, grade on amount of in-stream flow supply, grade on river administration, and grade on average rainfall, are determined. Two case studies for multi-purpose dams and M&I water supply dams are performed, employing factor analysis, respectively. For the two cases, preliminary tests, such as reviewing matrix of correlation coefficient, Bartlett's test of sphericity, and Kaiser-Meyer-Olkin (KMO) test, are conducted to evaluate the suitability of the variables for factor analysis. In case of multi-purpose dams, variables are grouped into three factors; M&I water supply dams, two factors. The factors are rotated using Varimax method, and then factor loading of each variable is computed. The results show that the variables influencing water supply capacities of dams are reasonably selected and appropriately grouped into factors. In addition, multiple regression equations for predicting the amounts of annual water supply of dams are established using the factor scores as explanatory variables, it is identified that the models' accuracies are high, and their applications to determining effective storage capacity of a dam during dam planning and design steps are presented. Consequently, it is thought that the variables and factors are useful for dam planning and dam design.

• The Journal of Engineering Geology
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• v.4 no.3
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• pp.297-309
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• 1994

For a total of 210 city and Kun areas in Korea, a model was developed to predict the amount of groundwater use at each area. At first, the total areas were classified into 3 groups by the characteristics of groundwater use: residential(87), industrial(27) and agricultural (96) areas. Among them, type areas, represented by the dominant groundwater usage for typical purposes, were selected: residential(22), industrial(8) and agricultural(32) areas. Data for the various factors possibly related to the groundwater use were statistically analyzed. The factors include, 1) agricultural area, 2) industrial area, 3) adininistrative unit area(city or Kun), 4) population, 5) groundwater capadty for community water supply, 6) average water supply for a person per day, 7) agricultural water-use, 8) industrial water-use, 9) residential wateruse, 10) rates of community water supply. The data were correlated to the total amount of groundwater use, and the correlations tested at the 95% and 99% significance levels. Influential, significantly related, factors were identified from the tests. Using the multiple regression method with the influential factors, predictive equations were drawn to calculate the amount of groundwater use for residential-industrial and agricultural areas, respectively. The equations were calibrated to minimize the RMS(root mean square) of the differences between predicted and observed groundwater use. After the validation with future data, the model can be utilized in the regional development plans to predict the maximum groundwater demand at each area.

• Journal of Korea Water Resources Association
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• v.42 no.10
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• pp.857-866
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• 2009

In this study, basic data is consisted annual maximum rainfall at 56 stations that has the rainfall records more than 30years in Korea. The 14 probability distributions which has been widely used in hydrologic frequency analysis are applied to the basic data. The method of moments, method of maximum likelihood and probability weighted moments method are used to estimate the parameters. And 4-tests (chi-square test, Kolmogorov-Smirnov test, Cramer von Mises test, probability plot correlation coefficient (PPCC) test) are used to determine the goodness of fit of probability distributions. This study emphasizes the necessity for considering the variability of the estimate of T-year event in hydrologic frequency analysis and proposes a framework for evaluating probability distribution models. The variability (or estimation error) of T-year event is used as a criterion for model evaluation as well as three goodness of fit criteria (SLSC, MLL, and AIC) in the framework. The Jackknife method plays a important role in estimating the variability. For the annual maxima of rainfall at 56 stations, the Gumble distribution is regarded as the best one among probability distribution models with two or three parameters.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.14 no.4
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• pp.331-341
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• 2016

To evaluate the physicochemical and radiological properties of raw materials and by-products in domestic distribution, about 220 samples with 16 species were prepared. We measured the energy spectrum and the chemical content, such as U, Th, and K, using a $LaBr_3$ scintillation detector and ED-XRF. In addition, HPGe detector was used to analyze the radioac-tivity of $^{234}Th$, $^{234}mPa$, and $^{214}Bi$ in uranium decay series and $^{228}Ac$, $^{212}Pb$, and $^{208}Tl$ in thorium decay series, and $^{40}K$. The correlation between characteristic variables, such as the count rate in several ROIs, chemical content, and radioactivity, was assessed to infer the radioactivity of natural radionuclides through a rapid screening method. Based on the results, a characteristic database for raw material and by-product in domestic distribution was established and it will provide useful information in the analysis procedure and improve the accuracy and reproducibility in the analysis of natural radionuclides.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.231-242
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• 2016

The purpose of this study is to analyze the effects empowerment has on a lifelong educator's job satisfaction and organizational commitment. This study was implemented to amass and analyze the data from 160 Daejeon district's lifelong educators using SPSS 20.0. The statistical analysis was conducted with the following measures: frequency analysis for demographic characteristics, descriptive analysis, factor analysis with Varimax rotation for the validity of the measured variables, Cronbach's alpha coefficient for the reliability of the internal consistency between the variables, and Pearson's correlation coefficient to confirm the relevance between the variables. Our hypothesis was then verified through regression analysis. Our research results showed that, first, the level of empowerment differed depending on such factors as gender, age, education level, employee type, work hours, and monthly income. Second, empowerment was shown to have a significant influence on job satisfaction, where higher empowerment levels led to higher job satisfaction. Third, empowerment was a significant factor in increasing organizational commitment, as higher empowerment levels led to higher commitment. Therefore, this study reflected on the concept that empowerment was needed by lifelong educators, thus showing that enhancing job satisfaction and organizational commitment by developing the personal abilities of a lifelong institution educator is favorable to the institution's development and success.

• Journal of Veterinary Clinics
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• v.22 no.2
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• pp.79-83
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• 2005

Six dogs including 4 dogs living in different geographic locations of Kangwon province and 2 client-owned dogs were used to determine the periodicity of microfilariae of D. immitis using a trigonometric model. The calculated periodicity index was ranged from 25.6 to $95.5\%$ with mean of $57.6\%$, and the estimated hour of peak was approximately 21:00 hrs (range, 20:04-21:29 hrs) and minimum counts at 09:00 hrs (range, 08:04 - 09:29 hrs). Correlation coefficient between the observed and the expected count from the model varies depending on dogs, ranging from 6.4 to $49.2\%$. Based on this study, the periodicity of microfilariae of D. immitis was considered as nocturnally sub-periodic for all dogs employed. This result is in consistent with previous report in peak hour but different in minimal hour, indicating that further studies on the periodicity need to be performed to better understanding the dynamics of the periodicity and to help practitioners in the choice of the time for examination of the dogs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.15-25
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• 2018

As jobless growth became the new norm and the average life expectancy continues to increase, it is difficult to find quality jobs regardless of gender. In this situation, entrepreneurs who can take charge of creating quality jobs have begun to gain attention from governments. As a result, many startup support programs have been introduced and operated. In Korea, various government-sponsored startup support programs have been in operation since the late 2000s, and the number of startups has increased since. However, there are many cases where they are not able to maintain their business for a long time because such programs often lack expertise and experience. Mentoring programs for startup founders is becoming an attractive solution to these problems. However, when we look at the responses of entrepreneurs, they found the mentoring program beneficial only when it was well planned and operated. Otherwise, they found the program unhelpful. Although there are many startup mentoring programs in various fields, there is little research on whether customized mentoring that matches the characteristics of startups and entrepreneurs are effective. In this study, we study the effects of startup mentoring on mentoring satisfaction. Our model also intends to identify the moderating effects of entrepreneurs' characteristics and provide guidance to future startup mentoring.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.45-54
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• 2019

Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.