• Culinary science and hospitality research
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• v.9 no.1
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• pp.65-80
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• 2003

The purpose of this study was to identify the college students'frequent usage groups of Western style restaurant in Ansan city. 200 samples among subjects were utilized for the analysis, and 150 samples were reserved far validating the discriminant function. Crosstabs, reliability analysis, stepwise discriminant analysis, and anova analysis were used for this study. The findings from this study were as follows. First, the result suggested that the four variables were important in discriminating the frequent usage group. Second, the result suggested that each discriminating variable between frequent usage groups was different significantly. Third, the result suggested that each usage situation between frequent usage groups was different significantly. Finally the study indicated the implications that could be provided some insight into the types of marketing strategies that can be successfully used by operators who manage Western style restaurants.

• Asia Pacific Journal of Corpus Research
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• v.4 no.2
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• pp.1-39
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• 2023

Recent research in usage-based Second Language Acquisition has provided new insights into second language (L2) learners' development of formulaic language (Wulff, 2019). The current study examines the use of phrase-frames, which are recurring sequences of words including one or more variable slots (e.g., it is * that), in written and oral production data from Asian learners of English across four proficiency levels (beginner, low-intermediate, high-intermediate, advanced) and native English speakers. The variability, predictability, and discourse functions of the most frequent 4-word phrase-frames from the written essay and spoken dialogue sub-corpora of the International Corpus Network of Asian Learners of English (ICNALE) were analyzed and then compared across groups and modes. The results revealed that while learners' phrase-frames in writing became more variable and unpredictable as proficiency increased, no clear developmental patterns were found in speaking, although all groups used more fixed and predictable phrase-frames than the reference group. Further, no developmental trajectories in the functions of the most frequent phrase-frames were found in both modes. Additionally, lower-level learners and the reference group used more variable phrase-frames in speaking, whereas advanced-level learners showed more variability in writing. This study contributes to a better understanding of the development of L2 phraseological competence.

• The Research Journal of the Costume Culture
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• v.21 no.5
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• pp.765-779
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• 2013

This paper studied why middle-aged group is using active wear as casual wear. First, we can think of 'comfort', 'ideal body shape', 'trend', 'functionality', 'economy' for the reasons. We categorized the incentives as 'comfort/functionality pursuits', 'trend/economy pursuits', and 'ideal body shape pursuits'. Studies showed that statistically significant number of men pursue comfort and functionality, and statically significant number of women pursue trend and economy. Second, this study shows that the number of consumers who use the active wear in daily lives is greater than that of those who use it only for outdoor activities. The difference was statistically significant in T-shirts and pants. The most frequent usage was in social activities, and the next frequent usage was in cultural activities. The reason is that currently, middle-aged consumers are actively participating in social gatherings than any other activities. Especially, considering that the men wear active wear more than the women do, development of the product as men's casual wear that is compatible with other apparels will be necessary. We expect this study will be used as the preliminary data for a marketing strategy targeting the middle-ages.

• The Journal of Korean Society for School & Community Health Education
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• v.5
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• pp.11-23
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• 2004

The purpose of this study was to analyze the internet usage patterns among adolescents and to provide basic data for the development of internet addiction prevention program. The subjects of this study were 1169 students in middle and high school students in Seoul, Korea. Self-administered questionnaires were employed and data were analysed by SPSS 12.0. Major conclusions were as follows: 1. Most of the students were found to be the normal internet users. On the other hand, potential risk group was 8.2% and high risk group was 4.7%. Every students have had an experience of inter use. The 90.6% of the students' households had internet links. The percentage of students who were using internet more than 3 hours a day was 25.7%, and The most popular type of website was entertainment. 2. Male students showed greater percentages of potential risk and high risk group than female students. The students having parents in divorce, remarriage and separation were more likely to be in potential risk group than those having normal parents. The staying alone in home after school and small sleeping time were positively related to high level of internet addiction. 3. The characteristics of the students in potential risk and high risk group were longer duration of the internet use, internet use through the whole week, frequent internet use late at night, frequent use of pornographic site, main purpose of internet use for entertainment and shortage of rest during internet use. This study results had an limitation of generalizing to entire Korean adolescents because the sample of this study was middle and high school students living in Seoul. Future study was needed for the analysis of internet use behavior of the entire Korean adolescents, and for the identification of the accurate predictors for adolescents' internet addiction.

• The Korean Journal of Food And Nutrition
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• v.29 no.3
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• pp.363-370
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• 2016

The purpose of this study is to investigate the dietary life status according to smart device use among university students. In 2015, data was collected during a 3 month survey of the eating behaviors, lifestyles, eating habits, and use of smart devices of 550 university students, as well as their dependency on smartphones. Ultimately, 520 subjects (94.5% analysis rate) were divided into three groups based on their daily use time of smart device: low-use group (<4.7 hours, n=173), medium-use group (${\geq}4.7hours$ and <6.4 hours, n=174), and high-use group (${\geq}6.4hours$, n=173). The more frequent use groups showed a higher level of dependency on the smartphone. Breakfast was found to be the most commonly skipped meal; and the high-use group showed a higher response of irregular meals than low-use group. In assessment of eating habits, the subjects with less smart device usage ate more regularly and at fixed times, did not overeat, drank milk everyday, and did not consume processed food as often. To sum up, more irregularity of meal and undesirable eating habits were found among university students with higher use of smart devices. These results suggest that a control of smart device usage would lead to a more desirable dietary life in university students.

• Korean Journal of Community Nutrition
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• v.22 no.1
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• pp.40-52
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• 2017

Objectives: This study was conducted to examine the length of exposure to smartphone and its association with dietary behavior toward snacks, lifestyle, and nutrition knowledge in elementary school students. Methods: Subjects were 372 5th and 6th grade schoolchildren in Cheongju, Korea, and data was collected by a self-administered questionnaire. They were divided into two groups by the time spent using smartphone: moderate (< 2 hours/day) and overexposure (${\geq}2$ hours/day). Data was analyzed using frequency analysis, ${\chi}^2$-test, and independent t-test as well as analysis of covariance when necessary. Results: Approximately half of subjects (41.4%) reported spending ${\geq}2$ hours/day using smartphone. That habit was more frequent among students in the 6th grade, those who received more monthly allowance, and who has a working mother. 63.4% of the subjects reported that they consumed snacks while watching television, using a computer and/or a smartphone and 48.1% said that they consumed snacks while they use a smartphone. Both situations were most prevalent among those with overexposure to smartphone (${\geq}2$ hours/day). We also observed that a higher percentage of subjects from the overexposure group spent more money on snack foods with the preference for ice cream, fast food, and carbonated drinks. Further, those in the overexposure group consumed more ice cream, cookies, and carbonated drinks. In addition, they had less desirable dietary behavior and health-related lifestyle (sleep duration and frequency of regular exercise) compared to those with moderate smartphone usage (< 2 hours/day). However, there was no statistical difference in nutrition knowledge among children with different degrees of smartphone usage. Conclusions: Our results showed that longer smartphone use was associated with less desirable snack preference/consumption and other dietary behavior in elementary school students. Thus interest and positive attitudes towards healthy snacks and diet should be reinforced in nutrition education programs, especially for those who are prone to use smartphones.

• Nutrition Research and Practice
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• v.1 no.3
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• pp.212-217
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• 2007

This study compared obese children's food group intakes with the new Dietary References Intakes for Koreans (KDRIs) food guides for 5th-6th grade school children. This study also determined the extent of sedentary life styles related with obesity in this area of children. This is it cross-sectional study of 799 school children. The dietitian sent a survey form describing the project and a questionnaire to the subject's family. The questionnaire included child demographics, family history of chronic diseases, the daily servings of five food groups, such as grains, meat and beans, dairy products, fruits, and vegetables. The daily or weekly hours of physical activity, television viewing, and computer usage were also surveyed. Obesity index (%) of the subjects was calculated, and children with an obesity index (%) equal to or greater than 20 were classified as the obese. Among the 799 participants, 50.7% were female. The percentages of the normal and the obese were 691 (86.5%) and 108 (13.5%) respectively. Obese children reported eating less vegetables (p<0.05), more high sugar snacks (p<0.05), and high fat snacks (p<0.05) than normal children. No significant differences in food servings of grains, meats and beans, and fruits, and dairy products between the normal and the obese were shown. Obese children reported fewer hours of physical activities (p<0.05) and more hours of computer usage (p<0.05) than normal children. Girls showed less likelihood of being obese (odds ratio, 0.575, CI (0.38, 0.87), p<0.05). More hours of physical activity significantly decreased the likelihood of being obese (odds ratio, 0.572, CI (0.35, 0.92), p<0.05). Family history of obesity almost doubled the likelihood of obesity in children (odds ratio, 2.653, CI (1.660, 4.241), p<0.05). In conclusion, frequent snacking, inadequate vegetable consumption, and sedentary lifestyle increased significantly the likelihood of obesity in children, which suggest that obesity intervention in this age group should focuse more on those variables.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.1-8
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• 2013

Data mining techniques are used to find important and meaningful information from huge databases, and pattern mining is one of the significant data mining techniques. Pattern mining is a method of discovering useful patterns from the huge databases. Frequent pattern mining which is one of the pattern mining extracts patterns having higher frequencies than a minimum support threshold from databases, and the patterns are called frequent patterns. Traditional frequent pattern mining is based on a single minimum support threshold for the whole database to perform mining frequent patterns. This single support model implicitly supposes that all of the items in the database have the same nature. In real world applications, however, each item in databases can have relative characteristics, and thus an appropriate pattern mining technique which reflects the characteristics is required. In the framework of frequent pattern mining, where the natures of items are not considered, it needs to set the single minimum support threshold to a too low value for mining patterns containing rare items. It leads to too many patterns including meaningless items though. In contrast, we cannot mine any pattern if a too high threshold is used. This dilemma is called the rare item problem. To solve this problem, the initial researches proposed approximate approaches which split data into several groups according to item frequencies or group related rare items. However, these methods cannot find all of the frequent patterns including rare frequent patterns due to being based on approximate techniques. Hence, pattern mining model with multiple minimum supports is proposed in order to solve the rare item problem. In the model, each item has a corresponding minimum support threshold, called MIS (Minimum Item Support), and it is calculated based on item frequencies in databases. The multiple minimum supports model finds all of the rare frequent patterns without generating meaningless patterns and losing significant patterns by applying the MIS. Meanwhile, candidate patterns are extracted during a process of mining frequent patterns, and the only single minimum support is compared with frequencies of the candidate patterns in the single minimum support model. Therefore, the characteristics of items consist of the candidate patterns are not reflected. In addition, the rare item problem occurs in the model. In order to address this issue in the multiple minimum supports model, the minimum MIS value among all of the values of items in a candidate pattern is used as a minimum support threshold with respect to the candidate pattern for considering its characteristics. For efficiently mining frequent patterns including rare frequent patterns by adopting the above concept, tree based algorithms of the multiple minimum supports model sort items in a tree according to MIS descending order in contrast to those of the single minimum support model, where the items are ordered in frequency descending order. In this paper, we study the characteristics of the frequent pattern mining based on multiple minimum supports and conduct performance evaluation with a general frequent pattern mining algorithm in terms of runtime, memory usage, and scalability. Experimental results show that the multiple minimum supports based algorithm outperforms the single minimum support based one and demands more memory usage for MIS information. Moreover, the compared algorithms have a good scalability in the results.

• Korean Journal of Human Ecology
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• v.22 no.5
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• pp.507-518
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• 2013

This study aims to investigate the usage of school tuck-shops by students and the desire for healthy tuck-shop according to the frequency of snack. From April 4 to April 13, 2012, a survey was conducted on 348 2nd grade high school students from six high schools in Daejeon Metropolitan City. The snack frequency in school tuck-shops was divided into 3 groups: 2 times a week or less(lower snack group), 3~4 times a week(middle snack group), 5 times a week and above(upper snack group). Out of total subjects, lower snack group was 41.4%, middle snack group 21.8% and upper snack group 36.8%. The upper snack group showed more in male students and more in the students with monthly pocket money more than 50,000 won and more expense per snack. The main reason for taking snacks was hunger at approximate 70% of total subjects, however, no difference was found in reasons by frequency of snack. About 90% of total subjects wanted healthy tuck-shop in school, but upper snack group showed less percentage and less care for healthy snacks. This result suggests that under the circumstance that most of high school students take snacks for relieving themselves from hunger at schools, it is desired to run healthy school tuck-shops in Daejeon Metropolitan, dealing with healthy snacks of balanced nutrition at resonable prices and to implement nutrition education programs especially for high frequent snack takers.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.435-445
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• 2017

This study was conducted to overcome the limitations of prior research on the equity of medical care performed by identifying simple differences in the use of medical care or using limited medical needs and medical utilization indicators. Specifically, we used activity limits, chronic diseases, and subjective health status as medical needs, and used outpatient, inpatient, and emergency services as medical uses. In addition, we used concentration index, concentration curve, and Le Grand factor to analyze the equity of medical use considering medical needs. The main results are as follows. First, the amount of medical care for the low-income class is higher than that of the high-income class when considering the concentration of medical use. In particular, the number of hospitalization days for low-income households and hospitalization fees were higher than the fees of outpatient medical consultation and emergency room usage. Second, medical needs were concentrated in the low income class. In other words, low-income group is not as healthy as the high-income group. Third, the Le Grand factor was calculated in order to confirm the fairness of the medical uses considering the medical needs. Even if medical needs are taken into consideration, the high-income earners will have a large amount of medical care. In addition, when considering the limitation of activity and the number of chronic diseases, the medical use of the high income class was more frequent. However, when the subjective health condition and the chronic illness were considered, medical use of the low income class was more frequent. This may be due to the underestimation of the medical needs of the low-income earners by neglecting their own health status and perception of chronic diseases.