• 수산해양교육연구
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• 제21권1호
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• pp.121-133
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• 2009

This study tested the relations of schools organizational climate and teachers' job stresses, perceived by 913 teachers from 45 elementary, junior- and senior-high schools. Pearson's correlation analysis for the relations between the sub-factors of both organizational climate and job stresses and cannonical correlation analysis for the relative contribution of individual variable of organizational climate upon job stress were applied for the test. The results of Pearson's correlation analysis showed that while 'intimacy', 'esprit', 'considerations', and 'production emphasis' climate had negative correlations with job stress sub-factors, 'disengagement' and 'aloofness' climate had positive correlation. 'Student guidance', a sub-factor of job stresses, did not have statistically significant correlation with any sub-factors of organizational climate. Findings from cannonical correlation analysis showed 2 significant cannonical functions to explain the relations between the sets of variables. 'Disengagement' from organizational climate positively contributed with 'authority forfeiture' and 'dissention and conflict' of the job stresses variables.

• 대한간호학회지
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• 제39권5호
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• pp.673-682
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• 2009

Purpose: This study was done to develop a model which explains factors influencing caring behavior of mothers who have children with disabilities, and to verify the appropriateness of the model and the relationship among variables. Methods: The participants in the research were the mothers who had a 3 to 12 yr-old children with disabilities. The data were collected from 451 mothers through self-reported questionnaires from July 14 to 31, 2008. A total of the 371 data sets were analyzed using SPSS/WIN 11.5 and AMOS 5.0 version. Results: The children's behavior characteristics, social support, objective burden and parenting self-esteem had an impact on the mothers' caring behavior. Especially, parenting self-esteem including parenting satisfaction and self-efficacy was the most influential factor. These variables explained 77% of the mothers' caring behavior for these children. Conclusion: The results suggest that some strategies for promoting mothers' parenting self-esteem focused on parenting satisfaction and self-efficacy should be developed in order to help mothers in caring for their child who is disabled.

• 대한가정학회지
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• 제23권3호
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• pp.39-48
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• 1985

The purpose of this study was to analyze the characteristics of Women's clothing fashion opinion leaders. The fundamental conceptualization for this study was based on the theories of fashion and opinion leader. Data for the study was obtained through questionnaires from 385 houswives of Gang Nam Gu. The measure of fashion opinion leadership applied in this project was the modification of Rogers' six question self-designating method. Operationally, the characteristic under investigation categoried into three sets of variable ; demographic and socialogical variables, and mass media exposure. As to the data analyses for this study, two-way crosstabs analyses were applied in comparing the characteristics of fashion opinion leader with followers. X\sup 2\ test was used to examine the correlation of several variables. RESULTS : 1. Fashion opinion leaders are not differ from followers in demographic characteristics. 2. Compared with followers, fashion opinion leaders are more active in the participation in concerts, movies and plays. 3. In mass media exposure, fashion opinion leaders differ little from followers regarding T.V, radio, newspaper, literarly magazine, general magazine, culture magazine.

• 한국시뮬레이션학회논문지
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• 제6권2호
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• pp.105-115
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• 1997

Fuzzy simulation predicts the behaviors of real system based on a model by qualitative reasoning methods and simulates the representation of ambiguous values on the real system variables using the theory of fuzzy sets. During the simulation, however, unnecessary behaviors due to the fuzzy representation are created, and the number of states of system variables changing temporally in the time axis is drastically increased. In this paper, we present a new algorithm which eliminates the spurious behaviors from the great number of result values due to the results of the fuzzy operation, and reduces the number of the states by transforming the complex state transition rules. This paper also shows the easy implementation of the simulation by using the existing package while it is difficult on the PC due to the complexities of the calculation.

• 대한임베디드공학회논문지
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• 제17권4호
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• pp.249-255
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• 2022

The COVID-19 virus appeared in 2019 and is extremely contagious. Because it is very infectious and has a huge impact on people's mobility. In this paper, multiple linear regression and random forest models are used to predict the number of COVID-19 cases using COVID-19 infection status data (open source data provided by the Ministry of health and welfare) and Google Mobility Data, which can check the liquidity of various categories. The data has been divided into two sets. The first dataset is COVID-19 infection status data and all six variables of Google Mobility Data. The second dataset is COVID-19 infection status data and only two variables of Google Mobility Data: (1) Retail stores and leisure facilities (2) Grocery stores and pharmacies. The models' performance has been compared using the mean absolute error indicator. We also a correlation analysis of the random forest model and the multiple linear regression model.

• Near Infrared Analysis
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• 제1권2호
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• pp.1-8
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• 2000

Using the net analyte signal, hybrid linear analysis was proposed to predict chemical concentration. In this paper, we select a sample from training set and apply orthogonal signal correction to obtain an improved pseudo unit spectrum for hybrid least analysis. using the mean spectrum of a calibration training set, we first show the calibration by hybrid least analysis is effective to the prediction of not only chemical concentrations but also physical property variables. Then, a pseudo unit spectrum from a training set is also tested with and without orthogonal signal correction. We use two data sets, one including five chemical concentrations and the other including ten physical property variables, to compare the performance of partial least squares and modified hybrid least analysis calibration methods. The results show that the hybrid least analysis with a selected training spectrum instead of well-measured pure spectrum still gives good performances, which is a little better than partial least squares.

• 한국군사과학기술학회지
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• 제22권5호
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• pp.697-704
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• 2019

The public has grown more anxious towards domestic earthquakes that have been taking place since 2000, and regulations on seismic design has been strengthened. Out of 4,605 Air Force installations that require the application of seismic design, 2,982 remain unapplied. By taking budget issues and the time spent to implement seismic retrofit into account, this paper aims to list up seismic reinforcement priorities for airmen dormitories where they can potentially be most vulnerable to earthquakes. The priorities are extracted based on Data Envelope Analysis(DEA). To apply DEA, two sets of variables are set: seismic reinforcement costs as input variable: age of building, number of residents, and seismic load as output variables. At the end, suggestions are made for developing seismic reinforcement plans that can be applied to all Air Force installations.

• 한국분말재료학회지
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• 제6권3호
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• pp.238-245
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• 1999

The preparation of $n-TiO_2$ powder by the Chemical Vapor Synthesis process (CVS) was studied using the liquid metal organic precursor (TTIP). The residence time and the collection methods were considered as main processing variables through the experiments. The CVS equipment consisted of a micropump and a flashvaporizer, a tube furnace and a tubular collection device. The synthesis was performed at $1000^{\circ}C$ with various sets of collection zone. The residence time and the total system pressure were controlled in the range of 3~20 ms and 10 mbar, respectively. Nitrogen adsorption, X-ray diffraction and electron microscopy were used to determine particle size, specific surface area and crystallographic structure. The grain size of the as-prepared $n-TiO_2$ powder was in the range of 2~8 nm for all synthesis parameters and the powder exhibited only little agglomeration. The relationship between particle characteristics and the processing variables is reviewed based on simple growth model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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• pp.171-175
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• 1989

Newton-OPF proposed by W.F Tinny and his fellows in 1984 is most useful and powerful algorithm in optical power flow calculation. But, several problems prevent its application to practical uses. The problems are determination of active sets, initial values of variables, soft and hard weights, and discrete variables such as transformer taps. In this paper, convergence characteristics of Newton OPF is analyzed with effects of these factors using wide - used 5-bus sample system. Wide - use of results in this paper is appreciated.

• 대한산업공학회지
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• 제23권4호
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• pp.661-667
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• 1997

We consider a generalized problem of the continuous multiple choice knapsack problem and study on the LP relaxation of the candidate problems which are generated in the branch and bound algorithm for solving the generalized problem. The LP relaxed candidate problem is called the generalized continuous multiple choice linear knapsack problem and characterized by some variables which are partitioned into continuous multiple choice constraints and the others which only belong to simple upper bound constraints. An efficient algorithm of order O($n^2logn$) is developed by exploiting some structural properties and applying binary search to ordered solution sets, where n is the total number of variables. A numerical example is presented.