• Korean Journal of Community Nutrition
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• v.10 no.3
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• pp.311-318
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• 2005

The purposes of the study were to identify important attributes in foodservice management and culinary arts students' career decision-making and to investigate factors determining their preferred employment fields. A questionnaire that consisted of preferred employment fields, importance rating of 19 attributes related to job choices, and demographic information was developed based on a review of literature. A total of 319 students enrolled in food and nutrition, foodservice management, and culinary arts programs of eight 2-year colleges and 4-year universities in Seoul and Kyunggi Province participated in the survey. Data were analyzed using SPSS Win (version 10.0) with descriptive statistics, chi-square analysis, one-way analysis of variance, factor analysis, and discriminant analysis. Attributes of the highest importance scores included fringe benefits, wages and promotion opportunities, working environments, professional development opportunities, and organizational culturs. The students who preferred non-commercial foodservice as a career choice depended more on 'word-of-mouth from faculty' than those who preferred other fields (F=3.094, p < .05) and rated importance of 'participation in job fairs' higher than those who selected hotel food and beverage (F : 5.048, p < .01) . A factor analysis of the 19 attributes resulted in five factors: job/compensation policy, impersonal communication, company image, word-of-mouth, and personal experience. The five factors explained $67\%$ of the total variance. A discriminant analysis revealed that students who perceived 'impersonal communication' and 'word-of-mouth' more important were likely to prefer non-commercial foodservice as a career choice. The results would be used by university faculty in advising graduating students on career selection and by recruiters in developing effective and attractive recruiting programs.

• Journal of Korean Public Health Nursing
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• v.26 no.2
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• pp.227-238
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• 2012

Purpose: The purpose of this study was to examine physical activities and health belief in order to provide basic data on obesity prevention and management among elementary school students based on the health belief model. Methods: Participants included 194 fifth grade students in an elementary school located in Seoul. Data were collected by questionnaires and physical measurement, including weight and height. The SPSS Win 17.0 program using descriptive statistics, ANOVA with Scheff$\acute{e}$ post hoc tests, and Cronbach's alpha coefficients was used in data analysis. Results: Significant differences were observed in physical activity according to perceived severity (F=3.444, p=.034), perceived benefit (F=7.674, p=.001), perceived barrier (F=21.014, p<.001), and self-efficacy (F=22.098, p<.001). A significant difference in physical activity (t=4.502, p<.001) and perceived severity (t=-2.278, p=.024) was observed according to gender. Significant differences in physical activity (t=7.633, p=.006), perceived barrier (t=10.826, p=.001), and self-efficacy (t=5.928, p=.016) were observed according to obesity status. Significant differences were observed in physical activity (F=7.503, p=.001), perceived susceptibility (F=37.904, p<.001), and perceived barrier (F=3.425, p=.035) depending on level of satisfaction with body image. Conclusions: In order to promote physical activity among children with low physical activity, development of program with an emphasis on the benefits of physical activity and physical activity self-efficacy, and to decrease the barriers to physical activity is needed.

• Journal of the Korean Data and Information Science Society
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• v.7 no.1
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• pp.113-118
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• 1996

Principal component analysis(PCA) is an essential technique for data compression and feature extraction, and has been widely used in statistical data analysis, communication theory, pattern recognition, and image processing. Oja(1992) found that a linear neuron with constrained Hebbian learning rule can extract the principal component by using stochastic gradient ascent method. In practice real data often contain some outliers. These outliers will significantly deteriorate the performances of the PCA algorithms. In order to make PCA robust, Xu & Yuille(1995) applied statistical physics to the problem of robust principal component analysis(RPCA). Devlin et.al(1981) obtained principal components by using techniques such as M-estimation. The propose of this paper is to investigate from the statistical point of view how Xu & Yuille's(1995) RPCA works under the same simulation condition as in Devlin et.al(1981).

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1075-1087
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• 2017

In this study, we tried to utilize results of the change detection analysis for satellite images as the basis for updating the land cover map. The Sequential Spectral Change Vector Analysis ($S^2CVA$) was applied to multi-temporal multispectral satellite imagery in order to extract changed areas, efficiently. Especially, we minimized the false alarm rate of unsupervised change detection due to the seasonal variation using the direction information in $S^2CVA$. The binary image, which is the result of unsupervised change detection, was integrated with the existing land cover map using the zonal statistics. And then, object-based analysis was performed to determine the changed area. In the experiment using PlanetScope data and the land cover map of the Ministry of Environment, the change areas within the existing land cover map could be detected efficiently.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.163-170
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• 2009

The purpose of this article is to measure the level of insurance industry's social cognition based on the university students' survey questionnaire. For this, this study analyzes the cognition of students on the level of social reliability, the causes of low reliability, and the measures of enhancing the reliability level about insurance industry. For the analysis of survey questionnaire, partially ranked data analysis was employed. The results show that most students recognize that the reliability of insurance industry is lower than that of other financial industry such as banks and securities firms. The main reason for this low reliability is the lack of sales forces' specialty, the complexity of insurance products and contracts, and negative media release about insurance industry. To enhance the social reliability level of insurance, establishment of the future insurance image is essential, and that can be achieved through strengthening the insurance education and public relations and simplifying insurance products and contracts.

• Journal of Korean Academy of Nursing
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• v.41 no.4
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• pp.550-557
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• 2011

Purpose: The purpose of this study was to investigate the prevalence of depression among school girls in Korea and identify factors influencing the tendency to depression. Methods: A self-report survey was conducted with South Korean middle schoolgirls who were in the 8th and 9th grades. Four hundred and one schoolgirls were included in the study. The instruments utilized in this study were the Center for Epidemiologic Studies - Depression Scale and Social Problem Solving Inventory-Revised. Data were analyzed using descriptive statistics, Pearson correlation and multiple logistic regression with SPSS WIN 14.0 program. Results: The average depression score of the participants was 20.68, which indicates moderate levels of depression. About 35% of the schoolgirls in this study reported a tendency to depression. Significant predictors for depression were 'decreased problem-solving abilities', 'no family members with whom they can discuss their concern', 'decreased satisfaction in relationship with friends', and 'increased negative self-perception of body-image'. Conclusion: The study findings suggest that schoolgirls require special concern regarding the risk of developing depression. Regular depression screening could be beneficial for early detection of depression in schoolgirls and enhancing problem-solving ability could be considered as an effective strategy to reduce the risk of depression among schoolgirls.

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.301-308
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• 2010

The sensibility effects of color combinations was studied utilizing tone on tone combination and tone in tone combination. A total of 24 color combinations were rated by 10 college students using Semantic Differential Method. The data was analyzed by using Excel statistics program 2004. Analysis method was factor analysis. Theresults of this study were as follow. Color combinations utilizing tone on tone and color combinations utilizing tone in tone was evaluated a very different impression. Thus these were found to have an influence on sensibility effects of color combinations. In comparison with appearance of color combination using colored paper and that of product to apply to color combination using colored paper, it was showed to be evaluated mostly similar impression. However By characteristic with product, shape, size and texture, appearance of color combination is likely to be evaluated very difference impression. The results of these studies will serve as a basis of color combination image or color design.

• Journal of Broadcast Engineering
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• v.15 no.6
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• pp.791-802
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• 2010

Recent prevalence of progressive scan display such as LCD TV demands the quality improvement of existing deinterlacing techniques that convert interlaced scan images including HDTV broadcasting to progressive scan images. In this paper, we proposea motion adaptive deinterlacing technique which can be used for spatial methods, temporal methods, and the spatial-temporal methods can be used for the deinterlacing techniques selectively based on the threshold values calculated by the statistics of motion in the video contents. We also propose an improved spatial deinterlacing technique that adaptively use M-ELA and DOI based on the slant of edges that are obtained by Sobel operation. The improved picture quality of the proposed algorithm is confirmed by objective and subjective quality tests on many test image sequences.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.153-158
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• 2005

The turbulent shear flaw around a surface-mounted vertical wall was investigated using the two-frame PIV(CACTUS 3.1) system. From this study, it is revealed that at least 500 instantaneous velocity field data are required for ensemble average to get reliable turbulence statistics, but only 200 field data are sufficient for the time-averaged mean velocity information The flow has an unsteady recirculation region post vertical wall with bottom gap, followed by a slow relaxation to the fiat-plate boundary layer flow. The time-averaged reattachment length estimated from the streamline distribution is about x/H=3H. The large eddy structure in the separated shear layer seems to have signification influence on the development of the separated shear layer and the reattachment process.

• Women's Health Nursing
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• v.26 no.3
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• pp.231-239
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• 2020

Purpose: The purpose of this study was to investigate factors affecting premenstrual symptoms among nursing students, focusing on depression, fatigue, and body esteem. Methods: The participants were 145 nursing students at a university located in Changwon, Korea. Data were collected from November 2 to November 30, 2019 using self-reported structured questionnaires, and analyzed using descriptive statistics, independent t-test, analysis of variance, Pearson correlation coefficients, and multiple regression analysis. Results: The mean item score for premenstrual symptoms was 2.52±0.92, indicating a low level. The mean score for depression was 16.05±7.72, and 15.2% of participants were found to be moderately depressed and 9.7% severely depressed. The mean item score for fatigue was 4.84±0.84, indicating a moderate level, and body esteem was 2.94±0.44, indicating a moderate level. The premenstrual symptoms of nursing students showed a statistically significant correlation with depression (r=-.58, p<.001), fatigue (r=.33, p<.001), and body esteem (r=-.28, p<.001). Factors impacting premenstrual symptoms of nursing students were depression (β=.47, p<.001), dysmenorrhea (β=-.18, p=.009), menstrual cycle irregularity (β=.17, p=.013), and body esteem (β=-.14, p=.038). The total explanatory power of these variables was 41.0%. Conclusion: Findings from this sample of nursing students suggest that intervention programs to relieve premenstrual symptoms should focus on depression, menstrual cycle irregularity, dysmenorrhea, and body esteem.