• Journal of Information Technology Services
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• v.10 no.2
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• pp.247-257
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• 2011

In this paper, we propose a multiple-disseminators determining mechanism for Efficient Code Dissemination with low-delay(ECoDi) for wireless sensor networks (WSN). Code dissemination is in the spotlight as an important research issue since sensor nodes are necessary for updating new software remotely or fixing bugs dynamically. In particular, the time factor for code dissemination is the most important factor in order that the normal operation of nodes can be continuously performed as soon as finishing the dissemination. For this factor, ECoDi determines the set of disseminators through regression analysis based on the size of distributed code and the time of past unicasts and broadcasts. Then it transmits the entire code as a unicast to multiple disseminators, and the disseminators broadcast the code to the remaining neighbor nodes. Performance results on a testbed show that ECoDi reduces dissemination time significantly compared to a conventional scheme.

• Journal of the Korean Society for Nondestructive Testing
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• v.11 no.2
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• pp.22-31
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• 1991

Various types of ultrasonic techniques have been used for the estimation of compressive strength of concrete structures. However, conventional ultrasonic velocity method using only longitudial wave cannot be determined the compressive strength of concrete structures with accuracy. In this paper, by using the introduction of multiple parameter, e. g. velocity of shear wave, velocity of longitudinal wave, attenuation coefficient of shear wave, attenuation coefficient of longitudinal wave, combination condition, age and preservation method, multiple regression analysis method was applied to the determination of compressive strength of concrete structures. The experimental results show that velocity of shear wave can be estimated compressive strength of concrete with more accuracy compared with the velocity of longitudinal wave, accuracy of estimated error range of compressive strength of concrete structures can be enhanced within the range of ${\pm}$10% approximately.

• Korean Journal of Child Studies
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• v.15 no.2
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• pp.153-168
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• 1994

The purpose of this study was to examine mother's child rearing practices by mothers of their first-born child as a function of child's sex, temperament, and social class and of mother's marital satisfaction. The subjects were 158 mothers of 3-year-old first-born children in Seoul. Block (1984)'s CRPR, Buss and Plomin (1975)'s EAS, and Roach et al.'s MSS (1981) were used to measure maternal child rearing practices, children's temperament, and mother's marital satisfaction, respectively. The statistical methods for data analysis included t-test, ANOVA, Duncan's multiple range test, multiple regression. The major findings showed there were no sex of child differences in child rearing practices. Social class differences were found in "encouragement of independence", "enjoyment of child" and "openness to experience" in maternal child rearing practices. There were differences in maternal child rearing practices by child's temperament and mother's marital satisfaction. In a multiple regression analysis, it was found that the most significant predictor of maternal child rearing practices was mother's marital satisfaction.

• Journal of Preventive Medicine and Public Health
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• v.24 no.1 s.33
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• pp.29-36
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• 1991

A multiple regression analysis using ordinary least square (OLS) is frequently used for the projection of health expenditure as well as for the identification of factors affecting health care costs. Data for the analysis often have mixed characteristics of time series and cross section. Parameters as a result of OLS estimation, in this case, are no longer the best linear unbiased estimators (BLUE) because the data do not satisfy basic assumptions of regression analysis. The study theoretically examined statistical problems induced when OLS estimation was applied with the time series cross section data. Then both the OLS regression and time series cross section regression (TSCS regression) were applied to the same empirical da. Finally, the difference in parameters between the two estimations were explained through residual analysis.

• Journal of Korean Academy of Nursing
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• v.33 no.5
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• pp.609-617
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• 2003

Purpose: The purpose of this study is to understand the depression of patients for Fibromyalgia Syndrome(FMS) and to identify the factors influencing depression. Method: The instruments used here are Beck Depression Inventory in depression, the Korean Rheumatology Health Association' instruments in Self-Efficacy. Also, Pain and Fatigue was measured by Visual Graphic Rating Scale. The subject of study is 76 outpatients diagnosing FMS from rheumatism specialists at C hospital in D city. The data has been collected from Sep. 1st to Sep. 30th in 2001. For the analysis of collected data, frequency analysis, independent t-test, analysis of variance, Pearson's correlation and multiple regression analysis were used for statistical analysis with SAS statistical program. Result: General characteristics showing statistically significant difference in depression were age, education, occupation, gender, exercise and sleep in the patients with FMS. Depression for the patients with FMS has negative correlation coefficients with Self-efficacy and ADL, and positive correlation coefficients with Pain and Fatigue. The suitable regression form resulting from the multiple regression analysis to investigate the influencing factors of depression for the partients with FMS was expressed by y =50.067 - 0.278x$_1$ + 1.320x$_2$ (x$_1$: Self-Efficacy x$_2$: Fatigue) and $R^2$ =0.427. Conclusion: The factors influencing on depression of patients for FMS was Self-Efficacy, ADL, Pain, and Fatigue. Further study needs to be done identify methods of overcoming and presentation of depression in FMS.

• Journal of Wellness
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• v.6 no.2
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• pp.139-147
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• 2011

The purpose of this study was to examine the relationship between stress and leisure satisfaction of college student athletes. The participants comprised 140 of the college student athletes. The measures were composed of stress inventory and leisure satisfaction scale. The data were analyzed by SPSS 17.0 Version frequency analysis, reliability analysis, confirmatory factor analysis, independent sample t-test, one-way ANOVA, and multiple regression analysis were performed. The level of significance was set up .05. The results were as follows: First, according to college, there was significant difference in economic burden, environmental condition, and course factor. Second, in regard with multiple regression analysis on relationships between the stress and leisure satisfaction of the college student athletes, discriminative evaluation, environmental condition, and course factor had positive effect on leisure satisfaction.

• Journal of Korean Academy of Nursing
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• v.31 no.4
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• pp.598-609
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• 2001

Purpose: This study investigated the effect of transformational leadership and individual characteristics on nurses' job involvement. Method: The sample for this study consisted of 594 nurses from 8 large Korean hospitals. The factor analysis was drawn from the Cronbach's alpha analysis, the Pearson correlation analysis, the multiple regression analysis, and the hierarchical multiple regression analysis. Result: This study found that; (1) charisma dimension of transformational leadership has positive influence on job involvement; but intellectual stimulation and individualized consideration did not showed significant effects on job involvement (2) nurse individual characteristics (age, marital status, educational level, tenure, position) moderated the effect of transformational leadership on job involvement. Conclusion : Therefore, to improve job involvement nurses are required to apply the charisma dimension of transformational leadership in hospital organization.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.441-453
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• 2008

We analyzed Korean professional basketball and baseball players salary under the assumption that it depends on the personal records and contribution to the team in the previous year. We extensively used data visualization tools to check the relationship among the variables, to find outliers and to do model diagnostics. We used multiple linear regression and regression tree to fit the model and used cross-validation to find an optimal model. We check the relationship between variables carefully and chose a set of variables for the stepwise regression instead of using all variables. We found that points per game, number of assists, number of free throw successes, career are important variables for the basketball players. For the baseball pitchers, career, number of strike-outs per 9 innings, ERA, number of homeruns are important variables. For the baseball hitters, career, number of hits, FA are important variables.

• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.87-100
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• 2021

Purpose - This study aims to examine the antecedents of willingness to pay in the domain of duty free shop. Design/methodology/approach - This study chooses willingness to pay as explained variable. The candidates of explanatory variables are price fairness, brand awareness, employee service, product diversity, and crowding. This study uses survey to explore the linear relation between variables. This research collected data using online panel data collection service. The number of valid observation is 265. The research targe is Lotte duty free store. Statistical analysis was for statistical inference. To attain the information of survey respondents, frequency analysis is employed. Next, this study implemented exploratory factor analysis and reliability to ensure both validity and reliability of measurement items. This study executed multiple regression analysis to test research hypotheses Findings - Regrading results, brand awareness, employee service, and product diversity are positively associated with willingness to pay of duty free shop product. Moreover, the results of regression analysis suggest the inverted-U shape association between crowding and willingness to pay. However, price fairness appeared as non-significant variable to account for willingness to pay in the multiple regression analysis. Originality - This study contributes to the literature by examining duty free shop customers more.

• Journal of Korean Public Health Nursing
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• v.15 no.1
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• pp.13-26
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• 2001

Today's health care environment is rapidly changing and nurse administrators' transformational leadership needs to practice in nursing organization to achieve organizational objectives. Transformational leadership is related to the job satisfaction, productivity, and organizational commitment. This study investigated the effect of transformational leadership and carreer characterics on nurses' organizational commitment. The sample for this study consisted of 594 nurse from 8 large Korean hospitals. The factor analysis Cronbach's alpha analysis, Pearson correlation analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical method. The results of this study were found that (1) charisma dimension of transformational leadership has positive influence on nurses' organizational commitment; but another two dimensions (intellectual stimulation and individualized consideration) did not showed significant effect on organizational commitment (2) nurses' career characteristic(age, marital status, education level. work duration, status) moderated the effect of transformational leadership on organizational commitment.