• Journal of the Korean Home Economics Association
• /
• v.33 no.4
• /
• pp.173-188
• /
• 1995

This study examined the characteristics of the relationship of HOME, sociodemographic variables and children's verbal ability at age four, five, six, Expecially this study investigated causal relationships amoong the variables which are supposed to affect children's verbal ability by children's age and sex. The subject of this study were 180 children and their mothers. Instruments included inventory of home stimulation(HOME), inventory of socio-demographic variables, inventory of the children's verbla ability. The results obtained from this study were as follows : 1. For the most part, HOME and socio-demographic variables had a significant positive correlation with children's verbal ability. 2. The variables that significantly predicted children's verbal ability differed according to children's age and sex. That is, play materials, breadth of experience and economic status of the home were predictive of boy's verbal ability at age four, while aspects of physical environment, breadth of experience were predictive at age five, fostering maturity and independence, parent's education were predictive at age six. And developmental stimulation and breadth of experience were predictive of girl's verbal ability at age four, while developmental stimulation, economic status of the home were predictive at age five, developmental stimulation and play materials were predictive at age six. 3. the results of the analysis of the causal model showed that the kind of variables that affected children's verbal ability directly differed according to children's age and sex. That is, indirect stimulation and direct stimulation affected boy's verbal ability directly at age four and five, while indirect stimulation and parent's education affected boy's verbal ability at age six. And indirect stimulation, direct stimulation, emotional climate of the home affected girl's verbal ability directly at age four, while direct stimulation, economic status of the home, indirect stimulation affected directly at age five, parent's education, indirect stimulation and direct stimulation affected girl's verbal ability at age six. 4. Another causal model of the HOME, socio-demographic variables affecting children's verbal ability showed that total HOME scores more significantly affected boys and girl's verbal ability directly than socio-demographic variables at all ages.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.2
• /
• pp.239-249
• /
• 2003

The purpose of this research was to investigate influential factors for shopmaster's CRM (Customer Relationship Management) in the designer brand products, and to indicate the future fashion marketing strategies. The questionnaires were distributed to 74 shopmasters of the Designer shop in domestic L. S and H Department stores. Descriptive statistics, factor analysis, and path analysis from Lisrel program were used to analyze the data. The results were as follows; Firstly. for shopmaster's CRM variables, four factors of customer management variables were found and labeled as interest, DB construction, contact opportunity, and materials. Also, four (actors of shopmaster's knowledge regarding apparel materials were found and labeled as professionalism, manner, sense, and persuasion. For service variables, four factors such as precision, variety, rapidity, positiveness, and convenience of shopping were found. Secondly, for the results of hypothesis, all of the independent variables had direct influences on forming the relationship with customers. Therefore, it is concluded that the main elements of Shopmaster's CRM are highly important variables in customer relationship marketing strategy.

• Journal of Korean Society for Atmospheric Environment
• /
• v.24 no.5
• /
• pp.604-612
• /
• 2008

The ozone concentration is one of the important environmental issue for measurement of the atmospheric condition of the country. This study focuses on applying the Autoregressive Error (ARE) model for analyzing the ozone data at middle part of the Gyeonggi-Do, Anyang monitoring site in Korea. In the ARE model, eight meteorological variables and four pollution variables are used as the explanatory variables. The eight meteorological variables are daily maximum temperature, wind speed, amount of cloud, global radiation, relative humidity, rainfall, dew point temperature, and water vapor pressure. The four air pollution variables are sulfur dioxide $(SO_2)$, nitrogen dioxide $(NO_2)$, carbon monoxide (CO), and particulate matter 10 (PM10). The result shows that ARE models both overall and monthly data are suited for describing the oBone concentration. In the ARE model for overall ozone data, ozone concentration can be explained about 71% to by the PM10, global radiation and wind speed. Also the four types of ARE models for high level of ozone data (over 80 ppb) have been analyzed. In the best ARE model for high level of ozone data, ozone can be explained about 96% by the PM10, daliy maximum temperature, and cloud amount.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.13 no.1 s.29
• /
• pp.67-77
• /
• 1989

The purposes of the study were to compare the characteristics among five segments of the population (innovative communicators, innovators, opinion leaders, followers, indifferents) which were divided according to their fashion opinion leadersship and innovativeness. Thirty-one variables (thirteen fashion-related variables, five social variables, nine psychological variables, four demographic variables) were included in the analysis (analysis of variance, chi-square test). Data were obtained from 446 women living in Seoul area by self-administered questionnaire. The results of the study were as follows: there were significant differences among groups in most of fashion-related variables (fashion interest and clothing importance, four dimensions of clothing values, marketer-dominated and neutral information sources) and psychological variables (eight self-image variables) and in some of social and demographic variables (social activity, social stratum, education).

• Journal of Korean Society for Atmospheric Environment
• /
• v.27 no.3
• /
• pp.358-366
• /
• 2011

The purpose of this study was to analyze the monthly and seasonal PM10 data using the Autoregressive Error (ARE) model at the southern part of the Gyeonggi-Do, Pyeongtaek monitoring site in Korea. In the ARE model, six meteorological variables and four pollution variables are used as the explanatory variables. The six meteorological variables are daily maximum temperature, wind speed, amount of cloud, relative humidity, rainfall, and global radiation. The four air pollution variables are sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), carbon monoxide (CO), and ozone ($O_3$). The result shows that monthly ARE models explained about 17~49% of the PM10 concentration. However, the ARE model could be improved if we add the more explanatory variables in the model.

• Korean Journal of Child Studies
• /
• v.8 no.2
• /
• pp.17-44
• /
• 1987

The study examined the characteristics of the relationship of home environment variables and children's social development. Two studies were conducted ; Study I examined (1) the correlation of home environment variables and children's social ability and (2) the predictability of home environment variables for children's social ability by children's age. Study II investigated the causal relationship among the variables which are supposed to affect children's social ability. The subjects of this study were 240 children at age four, six and eight attending nursery schools, kindergartens and elementary schools and their mothers. Instruments included the Inventory of Home Stimulation (HOME), the Inventory of Sociodemographic Variables, social maturation scale, and the social-emotional developmental rating scale. The results obtained from this study were as follows : 1) Home environment variables had a positive correlation with children's social development at age four and six, but at age eight, only HOME variables had a significant positive correlation with children's social development. 2) The home environmental variables that significantly predicted children's social development differed according to children's age. That is, play materials, economic status of the home, and parent education were predictive of children's social development at age four, while parent's education, fostering maturity and independence, and play materials were predictive at age six. Fostering maturity and independence, aspects of physical environment, and economic status of the home were predictive at age eight. 3) The causal model of home environment effect on children's social development was formulated by exogenous variables (parent education and economic status of the home) and endogenous variables (direct stimulation, indirect stimulation and the emotional climate of the home). 4) The results of the analysis of the causal model showed that the variables that have a direct effect on children's social development differed according to children's age. That is, direct stimulation had more effect on children's social development at earlier ages, and indirect stimulation had more effect on children's social development at later ages. Among socio-demographic variables, parent's education was most closely related to children's social development. The amount of variance that explained children's social development decreased with increase in children's age.

• Journal of the Korean Data and Information Science Society
• /
• v.19 no.4
• /
• pp.1153-1164
• /
• 2008

The ozone data is one of the important environmental data for measurement of the atmospheric condition of the country. In this article, the Autoregressive Error (ARE) model have been considered for analyzing the ozone data at the northern part of the Gyeonggi-Do, Uijeongbu monitoring site in Korea. The result showed that both overall and monthly ARE models are suited for describing the ozone concentration. In the ARE model, seven meteorological variables and four pollution variables are used as the as the explanatory variables for the ozone data set. The seven meteorological variables are daily maximum temperature, wind speed, relative humidity, rainfall, dew point temperature, steam pressure, and amount of cloud. The four air pollution explanatory variables are Sulfur dioxide(SO2), Nitrogen dioxide(NO2), Cobalt(CO), and Promethium 10(PM10). Also, the high level ozone data (over 80ppb) have been analyzed four ARE models, General ARE, HL ARE, PM10 add ARE, Temperature add ARE model. The result shows that the General ARE, HL ARE, and PM10 add ARE models are suited for describing the high level of ozone data.

• Korean Journal of Child Studies
• /
• v.8 no.1
• /
• pp.83-112
• /
• 1987

This study examined the characteristics of the relationship of home environment variables and children's intellectual ability. Two studies were conducted: Study I examined the predictability of home environment variables for children's intellectual ability by children's age and the correlations between environment variables and children's intellectual ability. Study II investigated causal relationships among the variables which are supposed to affect children's intellectual ability. The subjects of this study were 240 children at age four, six and eight attending nursery schools, kindergartens and elementary schools and their mothers. Instruments included the Inventory of Home Stimulation (HOME), inventory of sociodemographic variables, and the K-Binet scale. The results obtained from this study were as follows: 1) Home environment variables had a significant positive correlation (.36 ~ .78) with children's intellectual ability. 2) The home environmental variables that significantly predicted children's intellectual ability differed according to children's age. That is, play materials, breadth of experience, and quality of language environment were predictive of children's intellectual ability at age four, while parent's education, developmental stimulation, and play materials were predictive at age six. Economic status of the home, need gratification, avoidance of restriction, and emotional climate were predictive at age eight. 3) The causal model of home environment affecting children's intellectual ability was formulated by exogenous variables (parent education and economic status of the home) and by endogenous variables (direct stimulation, indirect stimulation and the emotional climate of the home). 4) The results of the analysis of the causal model showed that the kind of variables that affected children's intellectual ability directly differed according to children's age. That is, direct stimulation and parent's education affected children's intellectual ability directly at age four and six, while the economic status of the home and indirect stimulation affected intellectual ability directly at age eight. The amount of variance that explained children's intellectual ability increased with increase in children's age.

• Journal of Electrical Engineering and Technology
• /
• v.6 no.3
• /
• pp.423-430
• /
• 2011

Multi-input multi-output (MIMO) dynamic matrix control (DMC) technique is applied to control steam temperatures in a large-scale ultrasupercritical once-through boiler-turbine system. Specifically, four output variables (i.e., outlet temperatures of platen superheater, finish superheater, primary reheater, and finish reheater) are controlled using four input variables (i.e., two spray valves, bypass valve, and damper). The step-response matrix for the MIMO DMC is constructed using the four input and the four output variables. Online optimization is performed for the MIMO DMC using the model predictive control technique. The MIMO DMC controller is implemented in a full-scope power plant simulator with satisfactory performance.

• International journal of steel structures
• /
• v.18 no.4
• /
• pp.1265-1283
• /
• 2018

This paper presents a four-variable first-order shear deformation theory considering in-plane rotation of functionally graded plates. In recent studies, a simple first-order shear deformation theory was developed and extended to functionally graded plates. It has only four variables, separating the deflection into bending and shear parts, while the conventional first-order shear deformation theory has five variables. However, this simple first-order shear deformation theory only provides good predictions for simply supported plates since it does not consider in-plane rotation varying through the thickness of the plates. The present theory also has four variables, but considers the variation of in-plane rotation such that it is able to correctly predict the responses of the plates with any boundary conditions. Analytical solutions are obtained for rectangular plates with various boundary conditions. Comparative studies demonstrate the effects of in-plane rotation and the accuracy of the present theory in predicting the responses of functionally graded plates.