• Women's Health Nursing
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• v.6 no.4
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• pp.619-631
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• 2000

The purpose of this research is to understand the levels of crisis and quality of life and the relationship between them. Data was collected from questionnaires completed by 384 middle-aged women between 40 and 59 years old. The sense of crisis was measured by a scale which was developed by Kim(1988) and modified by Oh(1999). The quality of life was measured by the scale which was developed by Noh(1988). The data was analyzed using the SPSS (Statistical Package for the Social Sciences) program and included: descriptive statistics, Pearson correlation, and stepwise regression. The results of this study were as follows: 1) In the sense of crisis scale, 'experiencing emptiness and powerlessness through my friends is the highest item($3.56{\pm}1.06$). 'Meaninglessness in daily living' factor's score is $3.16{\pm}0.76$ and another factor, 'concept of my life thus far' score is $2.89{\pm}0.74$. Then the former is higher than the latter. 2) In the quality of life, 'eat well now' is the highest item($3.60{\pm}0.93$). 'self-esteem' is the highest factor($3.37{\pm}0.62$) and 'emotional state' is the lowest factor($2.89{\pm}0.31$). 3) According to the correlation between factors of crisis and quality of life, there was a significant negative correlation between two factors of crisis and five factors of quality of life except emotional state. 4) According to linear regression, two factors of the sense of crisis showed the explanatory power of the quality of life with 31.6%. On the basis of above findings, the following is suggested; Crisis is not precipitated by special events and new accidents, but the normal emotional change phenomena process in the human life cycle. As a result, we should develop the nursing programs and education programs about crisis intervention for middle-aged women's health.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.279-289
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• 2020

The purpose of this study is to investigate the effect of beauty workers' fun factors on job enthusiasm and self-efficacy. In order to achieve the purpose of this study, 324 beauty workers in Seoul and Gyeonggi region were selected as the study subjects. The data processing to identify the purpose of the study was to analyze the frequency of the demographic variables of the study subject, verify the reliability of each factor, and analyze the factors, and the correlation analysis between the fun factor, job enthusiasm and self-efficacy was used. Multi-regression was conducted to find out the effect of the variables, and the following research results were derived through such a research procedure. First, the fun factor of beauty workers was crazy about job enthusiasm. Second, the fun factor of beauty workers influenced self-efficacy, and third, job enthusiasm had an effect on self-efficacy.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.1
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• pp.13-27
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• 2012

According to the development of Intelligent Transportation System technology, VMS(Variable Message Signs) are operating on highway. But, VMS display information which don't reflect traffic condition and driver's human factor. So driver can't read VMS message during limited time, it makes to reduce VMS's reliability. This paper presents a model for VMS message reading time and distance considering traffic condition and human factor. We built driving simulator by Winroad package which is able to copy real driving condition. Subjects were comprised of 20 people who reflect domestic driver's condition such as sex. We did regression analysis with experiment results and draw the model. The model could be possible to develop message- set considering traffic condition and human factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.3
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• pp.471-482
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• 1995

Using the acetate velvet and viscose velvet whose pile lengths were sheared as 1.45, 1.55, 1 65, 1.75, 1.85, 1.90mm under the condition equating the weaving process of ground fabric, the conclusions were as follows through the results of the sensory assessments estimated by women students in our university and the physical properties, H. V and T. H. V obtained by KES-F system. 1. In the sensory assessments estimated by the method of paired comparison and ranking of samples, the longer pile length was, the more the hand values of smoothness, softness, thickness, heaviness increased on the whole. 2. The H V. and T. H. V. measured by KES-F system were as follows; Kohi increased to pile length 1.85mm and then decreased a little at 1.90mm. hummer increased as pile length was longer. Fukurami increased to pile length 1.75mm and then decreased gradually as pile length was longer. Total hand value increased gradually from 1. 45mm to 1.85mm, had the top value at 1.85mm, and then decreased a little at 1.90mm. 3. In the results of summarizing $\ulcorner$the physical properties correlated closely with the H. V obtained by sensory assessments$\lrcorner$ and tithe Physical properties correlated closely with the H. V. and T. H. V obtained by KES-F systems, it showed that all the sensory properties correlated closely with compressive energy, flexural rigidity, thickness, weight and pile ratio in the former and that the physical properties correlated closely with each H V and T. H. V were different in the latter. 4. It showed that factor 1 was related to compressive energy, thickness, weight, pile ratio, factor 2 was related to recovery energy, compressive resilience, compressive index, and factor 3 was related to compressive recovery ratio in the result of factor analysis. 5. In the multiple repression analysis, the expressions of all sensory properties had compressive ratio, frictional coefficient in the regression expressions of $\ulcorner$H. V. obtained by sensory assessments$\lrcorner$, while the expressions of each H. V. and different physical properties in the regression expressions of $\ulcorner$H. V. obtained by KES-F system$\lrcorner$.

• Applied Chemistry for Engineering
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• v.28 no.1
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• pp.35-41
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• 2017

Materials exposed to outside will deteriorate due to various weathering factors such as sunlight, heat, temperature, humidity and so on. Therefore, predicting speed of degradation and life time is a very important issue. This research uses retro-reflective sheets with white and green which are most commonly used colors to conduct the outdoor exposure test and acceleration test of xenon arc in Arizona state in the United States, Chennai in India, Sanary in France and Seosan in Korea to measure the reflective performance of retro-reflection. The accelerated factor was obtained by using regression analysis through reflective values obtained from the acceleration test of xenon arc from Seosan area. Also, by using solar uv program, the accelerated factor of various climate regions were obtained and it was confirmed that the accelerated factor of Senary was 1.04, Arizona 1.82, Chennai 1.92 times higher than that of Seosan.

• Korean Journal of Environment and Ecology
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• v.29 no.1
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• pp.29-45
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• 2015

Water chemistry and fish community, based on fish compositions and ecological characteristics(trophic/tolerance guilds and condition factor), were compared in Gucheon Reservoir($G_cR$) and Yeoncho Reservoir($Y_cR$). Chemical parameters of water quality such as BOD, COD, nutrient(N, P) and suspended solids indicated that water quality was better in the $Y_cR$ than $G_cR$, and the temporal variability in seasonal and interannual patterns were greater in the $Y_cR$. The greater variability was mainly attributed to intense dilutions of reservoir water by Asian monsoon rain during July-August. Fish guild analysis indicated that species diversity was higher in the $G_cR$ than the $Y_cR$, and that the proportion of tolerant and omnivore species were greater in the $Y_cR$. Regression analysis of body weight-total length showed that the regression coefficient(b value) was lower in the $G_cR$(2.15 ~ 2.40) than the $Y_cR$(2.59 ~ 3.14). Condition factor(K) of fish against the total length showed negative slope of Zacco temminckii, Carassius auratus, Pseudorasbora parva and Rhinogobius brunneus population in the $G_cR$, and a positive slope of Carassius auratus and Rhinogobius brunneus population in $Y_cR$. Overall, our data suggest that the growth of the fish populations, based on the length-weight relations and condition factor, reflected the trophic regime of nutrients and organic matter.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.236-242
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• 2000

Due to the diversification of the food industry and its heightened competition, the marketing strategy to be required the most would be to improve competitiveness by enhancing customer loyalty as a resulting variable of customer satisfaction. Thus, this study, taking a food service provider as a subject, is to find factors and the scope of the perceived quality ; and to analyze how far the perceived service quality factor as such could explain customer′s overall satisfaction and customer loyalty ; finally to provide basic data for establishing a customer satisfaction marketing strategy as related to customer loyalty. The results of the study are as below. 1) 25 factors of service quality perceived by a food service provider have been categorized into 8 independent dimensions through factor analysis. Each of them are named ′Employee attitude′, ′Cleanliness′, ′Reputation′, ′Reliability′, ′Food′, ′Price′, ′Convenience′, ′Variety′, all of which explain 64.3% of the service again quality perception level. 2) After classifying customers into 3 groups according to two criteria -"will buy the service again" and "will suggest it to others" and making a pair of service providers with each customer, each customer loyalty group compared the service quality perception factor of the food service provider. The result was that the group having both the " will buy the service again" and "will suggest to others" criteria, that is, with higher loyalty, tend to have higher points than other group s in the dimension of ′Employee attitude′ and ′ Cleanliness′(p〈0.05), which means these two dimensions are closely related to customer loyalty. 3) From a regression analysis for the service quality perception level of the food service provider and overall satisfaction, it has been found that : the regression models are different for each group, that ′Employee attitude′ seems to be related more closely to the group with higher loyalty(p〈0.05); that the ′Price′dimension is found to be a meaningful factor to the group categorized not having "will buy the service again" and "will suggest to others" criteria(p〈0.05).

• Journal of Climate Change Research
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• v.7 no.2
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• pp.193-203
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• 2016

The importance of forecasting agricultural production is receiving attention while climate change is accelerating. This study suggested three types of crop yield forecasting model for major vegetable crops by using downscaled meteorological information of main production area on farmland level, which identified as limitation from previous studies. First, this study conducted correlation analysis with seven types of farm level downscaled meteorological informations and reported crop yield of main production area. After, we selected three types of meteorological factors which showed the highest relation with each crop species and regions. Parameters were deducted from meterological factor with high correlation but crop species number was neglected. After, crop yield of each crops was estimated by using the three suggested types of models. Chinese cabbage showed high accuracy in overall, while the accuracy of daikon and onion was quiet revised by neglecting the outlier. Chili and garlic showed differences by region, but Kyungbuk chili and Chungnam, Kyungsang garlic appeared significant accuracy. We also selected key meteorological factor of each crops which has the highest relation with crop yield. If the factor had significant relation with the quantity, it explains better about the variations of key meteorological factor. This study will contribute to establishing the methodology of future studies by estimating the crop yield of different species by using farmland meterological information and relatively simplify multiple linear regression models.

• Journal of the Korean Geotechnical Society
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• v.39 no.6
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• pp.5-12
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• 2023

Proactive assessment of landslide susceptibility is necessary for minimizing casualties. This study proposes a methodology for classifying the landslide safety factor using a classification algorithm based on machine learning techniques. The high-risk area model is adopted to perform the classification and eight geotechnical parameters are adopted as inputs. Four classification algorithms-namely decision tree, k-nearest neighbor, logistic regression, and random forest-are employed for comparing classification accuracy for the safety factors ranging between 1.2 and 2.0. Notably, a high accuracy is demonstrated in the safety factor range of 1.2~1.7, but a relatively low accuracy is obtained in the range of 1.8~2.0. To overcome this issue, the synthetic minority over-sampling technique (SMOTE) is adopted to generate additional data. The application of SMOTE improves the average accuracy by ~250% in the safety factor range of 1.8~2.0. The results demonstrate that SMOTE algorithm improves the accuracy of classification algorithms when applied to geotechnical data.

• Journal of Environmental Science International
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• v.17 no.3
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• pp.315-323
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• 2008

Based on the result of extraction of common factors executed in order to elucidate the visual attributes of street scenery by types through the rotation of 23 adjective variables by Varimax, the visual attributes expressed after the construction of the facilities using street scenery were anylized to be 4 factors including factor 1 through factor 4. Theexplanation of the 4 factor groups to explain the entire distribution was 65.3% and these factor groups are the psychological attributes felt when using facilities are constructed by securing the street spaces in downtowns and the factors were named as naturalness(factor 1), locality(factor 2), identity(factor 3) and clarity(factor 4) respectively. Based on the result of one-way layout distribution analysis, the preferences for street scenery by types were found out to show considerable differences at 1 % significance level. Based on the result of multiple regression analysis, all of the factors explaining preferences including factor 1 through factor 4 were significant at 1 % significance level. In case other conditions are constant, if the values of the adjective variables related to locality(factor 2) increase by 1 unit, the preferences which are the values of dependent variables will increase by 0.709. The variable with the largest relative contribution among the 4 factor groups was the locality(factor 2) factor group and on the contrary, it was found that the independent variable with least influences was the clarity(factor 4) factor group.