• Korean Journal of Child Studies
• /
• v.30 no.3
• /
• pp.145-160
• /
• 2009

The study explored differences in variables related to academic achievement by profiles of learning strategies. The Motivated Strategies for Learning Questionnaire (Pintrich & DeGroot, 1990), the Test of Beliefs on Intelligence (Cho et al., 2004), the School Satisfaction Scale (Son, 1993; Taft, 1979) and Scales for Rating the Behavioral Characteristics of Superior Students (Renzulli et al., 2002) were administrated to 221 subjects in grade 6 (107 girls, 114 boys). Data were analyzed by cluster analysis and ANOVA. Results identified six different clusters; significant differences of variables related to academic achievement were found among the six clusters. Frequent use of various cognitive strategies plays an important role in higher academic achievement.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.6
• /
• pp.928-936
• /
• 2010

This study explores the variables that predict the job satisfaction of clothing salespeople. A total of 270 questionnaires obtained from clothing salespeople were submitted for analysis. The results show that job stress was a negative influence whereas customer-orientation and self-efficacy were positive influences on the job satisfaction of clothing salespeople. The relationships were repeatedly investigated by the groups divided by personal and store characteristics. Job stress was not different by job experience, job position, and the price level of the products for sale; however, customer orientation, self-efficacy, and job satisfaction were different by those factors. In the case of more experienced salespeople with high positions, job stress would not be a predictor of job satisfaction. The study findings confirmed variables predicting job satisfaction, as well as revealed some personal and store characteristics that can affect the relationships of the variables.

• Nonlinear Functional Analysis and Applications
• /
• v.28 no.3
• /
• pp.613-622
• /
• 2023

In this paper, finite element method is applied to solve boundary control problem governed by elliptic variational inequality with an infinite number of variables. First, we introduce some important features of the finite element method, boundary control problem governed by elliptic variational inequalities with an infinite number of variables in the case of the control and observation are on the boundary is introduced. We prove the existence of the solution by using the augmented Lagrangian multipliers method. A triangular type finite element method is used.

• Journal of Korean Public Health Nursing
• /
• v.3 no.1
• /
• pp.5-17
• /
• 1989

The purpose of this study was to investigate the natural menopause age of middle-aged women in Korea and to analyse various factors affecting them. For the collection of date, 1,140 women aged between 45-54 were selected through stratified sampling technics in Seoul and at a rual area in Kyong KiProvince. They were interviewed from Nov. 1 through Dec. 31,1987 by use of questionnaires made after pilot study had been performed twice. Among them the final subjects for analysis were restricted to only those who had experienced menopause or irregular menstruation during the past one year, the number of which was total 410:206 in urban and 204 in rural area. For the analysis, menopause age was used as dependent variables while fertility variables, socio-economic variables, bio-physical varibles, and insight of life variables were classified as independent variables. Dependent variables such as menopause was tested and analysed by descriptive statistical methods(e.g., frequency, percentage, mean, $X^2-test.$ t-test, ANOVA). The relation between menopause age and independent variables was analysed by use of Pearson's correlation coefficients. For the analysis of various factors affecting menopause age, multiple stepwise regression method was used. The obtained results are summarized as follows: 1. The natural menopause age of Korean women were 47.2 mean age: it was 47.7 and 46.7 mean age in urban and rural area respectively, which revealed that the former was later then the latter by one year. And the recollective error on menopause starting age between the menopause group and the group who had experienced irregular menstruation during the past one year was 0.4-0.7 year. 2. The main factors affecting the menopause age were (1) the duration of marital life, (2) the duration of oral pill use, (3) insight of life and economic status, (4) educational background. (5) menarche, (6) usual menstruation amount, (7) electic charge. and (8) area. These factors. altogether, could explain $18.4\%$ of factors related with menopause, and they took the high percentage in the order mentioned.

• Food Science and Biotechnology
• /
• v.16 no.4
• /
• pp.557-564
• /
• 2007

We prepared caviar analogs encapsulated by calcium-alginate gel membranes as a means to replace higher priced natural caviars. Processing the caviar analogs (beluga type) was optimized by response surface methodology with central composite design. Concentrations of sodium alginate ($X_1$) and $CaCl_2\;(X_2)$ were chosen as the independent variables. In order to compare characteristics of the caviar analogs with the natural caviar, sphericity ($Y_1$), diameter ($Y_2$), membrane thickness ($Y_3$), rupture strength ($Y_4$), rupturing deformation ($Y_5$), and sensory score ($Y_6$) were used as the dependent variables. The sphericity of the caviar analogs showed a similar value to that of natural caviar (over 94%) in the range of independent variables. Generally, the $CaCl_2$ concentration ($X_2$) affected all dependent variables to a greater extent than the sodium alginate concentration ($X_l$), For the multiple response optimization of the 5 dependent variables ($Y_1,\;Y_2,\;Y_4,\;Y_5$, and $Y_6$), the desirability function was defined as the following conditions: target values ($Y_1\;=\;100%,\;Y_2\;=\;3.0\;mm,\;Y_4\;=\;1,470\;g,\;Y_5\;=\;1.1\;mm,\;and\;Y_6\;=\;10\;points$). Membrane thickness ($Y_3$) was eliminated from the dependent variables for multiple response optimization because it could not be measured with an image analyzer. The values of the independent variables as evaluated by multiple response optimization were $X_1\;=\;-0.093$ (78%) and $X_2\;=\;-0.322$ (1.07%), respectively.

• Journal of the Korean Society of Safety
• /
• v.29 no.3
• /
• pp.98-106
• /
• 2014

This study proposes severity analysis for pedestrian accidents by improving variables which were used for general severity analysis. The existing variables were collected based on the interviews with policeman or witnesses and evidence of accidents. Therefore, existing variables were subjective and had several measurement errors. In order to improve such problems, this study collected variables from vehicle recorder of taxi which recorded the moment of accidents. As a result, explanatory power of independent variables was enhanced and the complete objective variables could be collected. After collecting variables, ordered probit model was developed by utilizing vehicle recorder database. Fitness of ordered probit model was 0.23. Vehicle speed and pedestrian's eye direction variables were the most critical factors for severity of pedestrian accident. In addition, severity analysis for vulnerable pedestrian was carried out. As a result, it was revealed that vehicle speed, pedestrian's eye direction and safety zone variables affected the severity of pedestrian accidents most. Particularly, vehicle speed variable is the most important factor. Consequently, driver's defensive driving and compliance to the regulations are the priority to reduce severity of pedestrian accidents and prevent pedestrian accident.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.12 no.4
• /
• pp.354-362
• /
• 2000

Optimal supervisory control strategy for the set points of controlled variables in the central cooling system has been studied by computer simulation. A quadratic linear regression equation for predicting the total cooling system power in terms of the controlled and uncontrolled variables was developed using simulated data collected under different values of controlled and uncontrolled variables. The optimal set temperatures such as supply air temperature, chilled water temperature, and condenser water temperature, are determined such that energy consumption is minimized as uncontrolled variables, load, ambient wet bulb temperature, and sensible heat ratio, are changed. The chilled water loop pump and cooling tower fan speeds are controlled by the PID controller such that the supply air and condenser water set temperatures reach the set points designated by the optimal supervisory controller. The influences of the controlled variables on the total system and component power consumption was determined. It is possible to minimize total energy consumption by selecting the optimal set temperatures through the trade-off among the component powers. The total system power is minimized at lower supply, higher chilled water, and lower condenser water set temperature conditions.

• The Journal of Korean Physical Therapy
• /
• v.1 no.1
• /
• pp.83-102
• /
• 1989

The purpose of this study is to analyse the factors affecting rehabilitation of physically disabled persons . Data were collected from 118 physically disabled persons who were registered at facilities for disabled persons by an interview surevey Conducted from October 17 to October 26, 1988. The three facilities for the survey were selected by stratified random sampling. The results were as follows : 1. Using factor analysis, 10 variables were-grouped into 4 factors : physical need, need for social problem-solving, need for social interaction and educational need. The proportion of variance explained by these factors was $58.3\%$. 2. Age, religion and job were significantly related to the functional life scale score, but other variables were not. 3. Family APGAR score and severity of disability were significantly rotated to the functional life scale score. 4. From the multiple regression analysis on rehabilitation of the physically disabled person, the following: three variables were statistically significant : age, severity of disability and family functioning. These results suggest that age, severity of disability and family functioning variables are important factors for rehabilitation of physically disabled persons. Since the family functioning variable can be controlled by care, rehabilitation team should monitor the variable closely to improve the efficiency of rehabilitation. Because of their implication for further study, some variables, other than those considered here, are needed for studying rehabilitation of physically disabled persons.

• Phonetics and Speech Sciences
• /
• v.8 no.3
• /
• pp.67-78
• /
• 2016

This study examined the affective prosodic characteristics observed from the children with cochlear implant (CI, hereafter) and normal hearing (NH, hereafter) along with listener's perception on them. Speech samples were acquired from 15 normal and 15 CI children. 8 SLPs(Speech Language Pathologists) perceptually evaluated affective types using Praat's ExperimentMFC. When it comes to the acoustic results, there were statistically meaningful differences between 2 groups in affective types [joy (discriminated by intensity deviation), anger (by intensity-related variables dominantly and duration-related variables partly), and sadness (by all aspects of prosodic variables)]. CI's data are much more louder when expressing joy, louder and slower when expressing anger, and higher, louder, and slower when it comes to sadness than those of NH. The listeners showed much higher correlation when evaluating normal children than CI group(p<.001). Chi-square results revealed that listeners did not show coherence at CI's utterance, but did at those of NH's (CI(p<.01), normal(p=.48)). When CI utterances were discriminated into 3 emotional types by DA(Discriminant Analysis) using 8 acoustic variables, speed related variables such as articulation rate took primary role.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.12 no.4
• /
• pp.136-145
• /
• 1998

This paper describes the FFT and coefficient analysis of vibration signals for preventive diagnosis of a mold transformer at normal and abnormal state. Varying applied voltage, loading current and temperature as control variables for he experiment, measurement variables such as magnitude of vibration signals, frequency spectrum and time series coefficient were analyzed. The vibration signals by variation of control variables were measured by acceleration sensor adhered on the surface of winding and core, and measurement variables were calculated using dat acquisition system. After analyzing the normal state, the structural distortion was also simulated. The vibration signals at abnormal state were measured by the same control variables variation as the normal state. As a result, vibration signals between normal and abnormal state could be distinguished by comparison of the perpendicular and horizontal vibration signal.