• Membrane and Water Treatment
• /
• v.13 no.5
• /
• pp.219-225
• /
• 2022

5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

• Korean Institute of Interior Design Journal
• /
• v.17 no.5
• /
• pp.99-106
• /
• 2008

Based on extraction items derived from previous related studies on viewing experiences in art museums, this study is conducted to investigate extraction factors that affect viewing satisfactions and to suggest a guideline for an effective viewing environment by clarifying a hierarchy among the extraction factors. For this study, a survey was given to museum visitors, and statistical analyses were conducted on data obtained from the survey. The results of this study are summarized as follows; 1. From an analysis of extraction items that affect overall viewing satisfaction, space and art works were found to be relatively satisfactory. 2. From correlation analyses of extraction items, a degree of concentration on art works was found to most 'affect the viewing satisfactions of art museums. 3. From factor analyses, extraction items were reduced to 11 extraction factors, and a simple extraction structure affecting the viewing satisfactions in art museums. 4. From multiple regression analyses, a extraction factors were derived, and a relative hierarchy among the factors was found.

• The Korean Journal of Emergency Medical Services
• /
• v.25 no.1
• /
• pp.85-103
• /
• 2021

Purpose: This study measured the mental health levels of 119 paramedics, and identified the association of mental health levels with safety environments, personal protective equipment, and coronavirus risk awareness. Methods: A total of 119 out of 428 from Daegu and Gyeongbuk took part in this study. The statistical analysis methods were the t-test, ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: In a multiple regression analysis, females (β=-.137, p=<.001) showed a higher relevance to negative mental health than males. The moderate satisfied (β=-.088, p=.014) and dissatisfied (β=-.147, p=.006) showed a higher relevance to negative mental health than higher satisfied. Moderate stress perception (β=-.199, p=<.001) and higher stress perception (β=-.414, p=<.001) showed a higher relevance to negative mental health than lower stress perception. Corona-virus risk awareness (β=-.050, p=.045) was related to negative mental health and safety environment (β=.136, p=<.001). Personal protective equipment (β=.147, p=<.001) were related to positive mental health. Conclusion: Conclusively, it is necessary to develop and implement high-quality intervention programs using significantly influencing variables to impact the mental health of 119 paramedics.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.1B
• /
• pp.39-50
• /
• 2006

The flood control offices of main rivers have used a storage function model to forecast flood stage in Korea and studies of flood forecasting actively have been done even now. On this account, the storage function model, which is used in flood control office, regression models and artificial neural network model are applied into flood forecasting of study watershed in this paper. The result obtained by each method are analyzed for the comparative study. In case of storage function model, this paper uses the representative parameters of the flood control offices and the optimized parameters. Regression coefficients are obtained by regression analysis and neural network is trained by backpropagation algorithm after selecting four events between 1995 to 2001. As a result of this study, it is shown that the optimized parameters are superior to the representative parameters for flood forecasting. The results obtained by multiple, robust, stepwise regression analysis, one of the regression methods, show very good forecasts. Although the artificial neural network model shows less exact results than the regression model, it can be efficient way to produce a good forecasts.

• Journal of Families and Better Life
• /
• v.32 no.3
• /
• pp.31-44
• /
• 2014

The purpose of this study is to examine the effect of female adolescents' rejection sensitivity, impulsivity and guilt on their binge eating behavior. Questionnaires on rejection sensitivity, impulsivity, guilt and binge eating behavior were administered to 607 female adolescents in Changwon and Ulsan. Of 572 collected copies, 402 were deemed valid and statistically analyzed through frequency analysis, mean and standard deviation, t-test, Pearson's correlation analysis, multiple regression analysis and stepwise multiple regression analysis using SPSS Win 12.0. The results of the study were as follows: 1) School type was found to make a significant difference in rejection sensitivity, overall impulsivity, guilt and binge eating behavior; however, its influence was not significant on the sub-factors of impulsivity: motor impulsivity, unplanned impulsivity and cognitive impulsivity. 2) For female middle school students, rejection anger sensitivity, rejection depression sensitivity and motor impulsivity were found to have a significant influence on binge eating behavior for both middle school and high school girls. Guilt, however, was found to be influential for female high school students only. 3) Impulsivity was found to have a partial mediating effect on the relationship between female adolescents' rejection sensitivity and binge eating behavior.

• The Korean Journal of Applied Statistics
• /
• v.31 no.4
• /
• pp.447-461
• /
• 2018

Domestic film industry sales are increasing every year. Theaters are the primary sales channels for movies and the number of audiences using the theater affects additional selling rights. Therefore, the number of audiences using the theater is an important factor directly linked to movie industry sales. In this paper we consider a hybrid model that combines a multiple linear regression model and the Bass model to predict the audience numbers for a specific day. By combining the two models, the predictive value of the regression analysis was corrected to that of the Bass model. In the analysis, three films with different release dates were used. All subset regression method is used to generate all possible combinations and 5-fold cross validation to estimate the model 5 times. In this case, the predicted value is obtained from the model with the smallest root mean square error and then combined with the predicted value of the Bass model to obtain the final predicted value. With the existence of past data, it was confirmed that the weight of the Bass model increases and the compensation is added to the predicted value.

• Journal of Preventive Medicine and Public Health
• /
• v.46 no.1
• /
• pp.28-38
• /
• 2013

Objectives: This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL. Methods: This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis. Results: The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was $B_T$=2.96, that of the LSNS-R family frequency factor was $B_T$=3.60, and that of LSNS-R friends factor was $B_T$=5.41. Conclusions: Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

• Journal of the Korean Wood Science and Technology
• /
• v.25 no.1
• /
• pp.42-49
• /
• 1997

The purpose of this study was to investigate the relationships among density, moisture content, and modulus of elasticity in which are important characteristics in physical and mechanical properties of woods. In this study, the dynamic MOE was calculated through the combination with resonance frequency of transverse vibration method and density, and the estimated moisture contents were calculated with two different equations (1, 2) in order to compare with experimental moisture contents. The following results from this study were obtained: 1. According to the regression analysis with two different parameters (E and density), the two regression lines appeared to be straight intersecting at 0.6 density. As another factor, moisture contents in wood also influenced on the analysing regression at the below F.S.P. 2. When considering the relationship between moisture contents and E, the tendency of each moisture content and E showed very similar pattern suggesting that moisture contents in addition to density are very important parameter. 3. When together with moisture contents and density as parameters for multiple regression analysis, coefficiences of determinations are dramatically improved. Interestingly, the coefficiences of determinations are further increased when analysing at the below point of F.S.P. and when analysing higher and lower density separately. In summary, more correct estimation of the dynamic MOE of woods can be possible with only transverse vibration and density in wood. Therefore, with this indirect method, the calculation of MOE in all kinds of woods including timber, live tree and wood products can be feasible resulting in accelerating the efficiency of time and labor.

• Korean Journal of Occupational Health Nursing
• /
• v.19 no.2
• /
• pp.246-257
• /
• 2010

Purpose: The purpose of this study was to explore the factors related to physical and affective well-being of taxi drivers. The main factors of interests were workplace hazards and work environment. Method: This was a cross-sectional descriptive study. A convenience sampling method was utilized. 181 taxi drivers in Seoul metropolitan area completed survey questionnaires. Result: In bivariate analysis, payment system, workplace hazards, and work environment were associated with physical health of taxi drivers. Multiple regression analysis revealed payment system and workplace hazards were significant predictors of physical health. On the other hand, age and workplace hazards, and work environment were significantly associated with affective health in the bivariate analysis. Moreover, workplace hazards and environment were significant predictors of affective health in the multiple regression analysis. Conclusion: To improve taxi drivers' health status, it is critical to reform payment system to monthly payment, establish prevention policies of workplace hazards, and encourage employers and taxi drivers to make efforts for better work environment.

• The Korean Journal of Emergency Medical Services
• /
• v.20 no.1
• /
• pp.17-30
• /
• 2016

Purpose: This study investigated factors related to empowerment of paramedic students. Methods: A total of 208 students in the department of emergency medical services who experienced clinical practice at 5 universities were selected by convenience sampling methods. Differences in empowerment by general and major-related characteristics were evaluated using a t-test and analysis of variance. The association between satisfaction with clinical practice and empowerment was tested using correlation coefficients. Multiple linear regression analysis was performed to investigate the factors associated with empowerment. Results: The levels of overall satisfaction with clinical practice and empowerment were 107.48 and 99.46, respectively. In simple analysis, empowerment level was associated with general characteristics, major-related characteristics, characteristics of clinical practice, and satisfaction with clinical practice. Empowerment level was significantly higher in older subjects (${\beta}=5.282$, p = .023), subjects with very good (${\beta}=8.487$, p = .002) or fair (${\beta}=4.879$, p = .010) subjective health status, and high subjective school record (${\beta}=5.837$, p = .008) in multiple linear regression analysis. Satisfaction with clinical practice was positively associated with empowerment (${\beta}=0.250$, p < .001). Conclusion: Empowerment was associated with major-related factors and satisfaction with clinical practice. Increased satisfaction with clinical practice could positively influence empowerment for paramedic students.