• The Journal of Asian Finance, Economics and Business
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• 제6권1호
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• pp.187-194
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• 2019

This study examined that what attributes of student satisfaction are more important when students use university cafeterias. Factors that are considered to be more crucial when students use a cafeteria, such as menu, taste, price, and cleanliness, were tested. Based on the research of previous studies, it assumed that the selection attributes of students' cafeteria were menu, taste, price, and cleanliness. With 301 surveyed questionnaires, the study was carried out by AMOS 23.0 and the Structural Equation Model was used for examining the hypotheses as statistical method in this study. In consequence of the hypothesis test on the main effect, the factors such as the menu, taste, price and cleanliness were found to significantly affect satisfaction. Then, the moderating role of gender, age and allowance was analyzed. However, students' university cafeteria selection attributes differed depending on their allowance only. The path coefficients from menu to satisfaction were more significant in the group with a smaller allowance, while the path coefficient from price to satisfaction was more significant in the group with a larger allowance. The study analyzed that the effect of selection attribute of students' cafeteria on the satisfaction, and influence of students' allowance, and provide meaningful implications when they choose the attributes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1426-1447
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• 2021

The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

• 한국지역사회생활과학회지
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• 제28권3호
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• pp.429-446
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• 2017

The current study aims to identify factors associated with private tutoring of college students in Korea. For this purpose, this study used the Korean Education and Employment Panel survey, which contains items regarding whether or not college students receive private tutoring as well as the monthly costs of private lessons. The current study focuses on private English lessons due to the very low response rates of other types of private tutoring. For the analysis, the 5th wave of KEEP collected in 2008 was selected, and a Heckman selection model was employed, including three categories of variables: individual, school, and parent/household factors. The results have revealed that for the selection model (receiving private English tutoring or not), having received private lessons in high school, gender, and level of satisfaction regarding the respondent's current university were significant. In terms of the outcome model (cost for private English tutoring in college), university admission type (rolling vs. regular), living with parents, school type (4-yr university vs. others), being in debt to cover private lesson fees in high school, and monthly household income had significant effects. This article also discusses the results and implications for future research and policy makers.

• 한국지역사회생활과학회지
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• 제16권4호
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• pp.59-69
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• 2005

This study examined the shop selection standards and preferred shops depending on the clothing attitudes identified by the psychological characteristics of consumers. To this end, this study selected the Korean Chinese college women in Yanbian. The study was conducted against 300 college students from May to June, 2002. Questionnaire was used for studying the subject of the thesis. Each question was rate4 in 5 point scale, where 1 means 'not at all' and 5 means 'definitely'. The data of this study was statistically analyzed using the SAS PC program. The t-test and $X^{2}$ were conducted to identify the evaluation criteria for clothing store and the preferred shops depending on clothing attitude groups and the factor analysis was carried out to analyze the clothing behavior factors. The results of study are summarized as described below. The clothing attitude of college women was classified into four factors: fashionable, brand-oriented, aesthetic and modest. The subjects were divided into two groups with higher average score and that with lower average score by factor, respectively. As a result of study on the evaluation standards of shop selection and preferred shops depending on the clothing attitude, for the evaluation standards of shop selection, three factors, fashionable, brand-oriented and modest factors, showed the significant difference between two groups. There was a significant difference between two groups in fashionable and brand-oriented factor and the preferred shops.

• 복식문화연구
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• 제18권4호
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• pp.717-730
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• 2010

The purpose of this study was to investigate the effects of narcissistic personality and self-esteem on the appearance management behaviors(weight, skin care, makeup, hair care, clothing selection) of female college students. The questionnaires were administrated to 362 female college students living in Gwang-ju city, Korea. For analysis of data, descriptive statistics, factor analysis, Cronbach'$\alpha$, regression analysis were applied. The results were summarized as follows. First. the female college students' narcissistic personality was categorized into four factors, need for administration, leadership/self-confidence, need for power/entitlement, and superiority. Second, narcissistic personality significantly influenced appearance management behaviors. The further examination of the effects showed that need for administration appeared to affect clothing selection, hair care, skin care, makeup, and weight. Third, self-esteem turned out to have positive effects on overall appearance management behaviors. The further examination of the effects showed that self-esteem appeared to affect clothing selection, skin care, hair care, makeup, and weight. The results indicated that female college students' narcissistic personality and self-esteem were important factors to their appearance management behaviors and marketing programs for fashion industries.

• Journal of Information Processing Systems
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• 제13권5호
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• pp.1168-1182
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• 2017

In the past decades, various image regularization methods have been introduced. Among them, total variation model has drawn much attention for the reason of its low computational complexity and well-understood mathematical behavior. However, regularization parameter estimation of total variation model is still an open problem. To deal with this problem, a novel adaptive regularization parameter selection scheme is proposed in this paper, by means of using the local spectral response, which has the capability of locally selecting the regularization parameters in a content-aware way and therefore adaptively adjusting the weights between the two terms of the total variation model. Experiment results on simulated and real noisy image show the good performance of our proposed method, in visual improvement and peak signal to noise ratio value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5425-5448
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• 2018

Wireless sensor network has been widely used in Internet of Things (IoT) applications to support large and dense networks. As sensor nodes are usually tiny and provided with limited hardware resources, the existing multiple access methods, which involve high computational complexity to preserve the protocol performance, is not available under such a scenario. In this paper, we propose an intelligent Medium Access Control (MAC) protocol selection scheme based on machine learning in wireless sensor networks. We jointly consider the impact of inherent behavior and external environments to deal with the application limitation problem of the single type MAC protocol. This scheme can benefit from the combination of the competitive protocols and non-competitive protocols, and help the network nodes to select the MAC protocol that best suits the current network condition. Extensive simulation results validate our work, and it also proven that the accuracy of the proposed MAC protocol selection strategy is higher than the existing work.

• Asian-Australasian Journal of Animal Sciences
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• 제8권1호
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• pp.29-35
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• 1995

A selection experiment with Romney Marsh sheep was used to evaluate correlated responses to selection. The selected flock was formed in 1979 by the Romney Group Breeders where selection was for prolificacy, defined as the number of live lambs born per ewe joined per year and a randomly selected control flock was established in 1982. Selection for prolificacy resulted in (i) increased ewe fertility, (ii) increased ewe ovulation rate, (iii) increased ewe litter size, (iv) decreased ewe body weight, (v) decreased lamb birth weight and (vi) decreased lamb 8-week weight. The rates of correlated responses per year respectively for ewe fertility, ewe ovulation rate, ewe litter size, ewe body weight, lamb birth weight and lamb 8-week weight were 0.033(0.002), 0.043(0.016), 0.019(0.005), -0.017(0.066), -0.055(0.025) and -0.150(0.057).

• Asian-Australasian Journal of Animal Sciences
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• 제8권1호
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• pp.23-27
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• 1995

A selection experiment with Romney Marsh sheep was used to evaluate direct responses to selection. Two flocks were maintained; a) the selection line formed in 1979 by the Romney Group Breeders to select for high prolificacy, defined as the number of live lambs born per ewe joined per year and b) a control line, established in 1982, where flock replacements were chosen at random. Predicted responses per year of birth female group and per year respectively were 0.033 and 0.027 live lambs. The rate of predicted response per year was within the theoretical expected range from 0.01 to 0.03 of the mean. The rates of realized response in prolificacy per year of birth female group and per year respectively were 0.026 and 0.021. These estimates of realized responses represented between 0.01 and 0.02 of the control line mean per year.

• 대한가정학회지
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• 제40권12호
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• pp.49-61
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• 2002

The purpose of this study was to investigate the effect of clothing involvement on the perceived risk in internet shopping and store selection criteria. The subjects used for the study were 210 male and 338 female college students. The clothing involvement consisted of pleasure, symbolism, and selection difficulty factors. The perceived risk consisted of size/defect risk, social psychological risk, privacy risk, delivery risk, and price risk. The store selection criteria had security/service, entertainment/variety, price/convenience factors. The results showed that consumers were segmented by four groups based on clothing involvement factors: clothing pleasure group, symbolism group, confidence group, and low clothing involvement group. The four segmented groups differed in regard to the perceived risk, store selection criteria, and demographics. For example, clothing pleasure group perceived the size/defect risk and social psychological risk higher than did the other groups. Also, the clothing pleasure group considered entertainment/variety more important and had younger female consumers.