• Journal of Korean Home Economics Education Association
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• v.20 no.1
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• pp.63-83
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• 2008

The purpose of this study was to investigate food involvement, dietary behavior and relationship according to the levels of nutrition knowledge. Data in this research was obtained by using the questionnaire which was given out to 528 subjects(boys 182, girls 346) in Naju city area. The awareness of dietary behavior of middle school students put the first priority on breakfast from among 3 meals a day, and they selected 'taste' as the most important criterion. The majority and above of subjects responded that they had ever delivered food at least more than 1 or 2 times a week. This research found that middle school students are tends to regard themselves as being rather close to obesity or fatness. Subjects were also aware that they have some problems with a unbalanced eating habbit and irregular timing of having meals, and more than 40% of the subjects responded that they obtain the most of information about food & dietary behavior through television. Significant difference was found in the food involvement with related variables such as sex, grade, the academic background of mother, self-perception of weight, the way of weight control, perception of problems requiring improvement. Dietary behavior related with variables showed significant difference. Variables are grade, perception of meal importance, selecting standard of food, method of weight control, improvement of eating habits. Dietary behavior is found highly relative with food involvement. Dietary behavior is found highly relative with food involvement. In conclusion, suggestions that could bring motivation to improvement is more essential to the nutrition education rather than knowledge oriented education.

• Korean Journal of Heritage: History & Science
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• v.53 no.2
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• pp.156-179
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• 2020

The Preservation Decree (1933) is the basic law relevant to the conservation of cultural property of colonial Chosun, and invoked clauses from the Old History Preservation Act (1897), the Historic Scenic Sites Natural Monument Preservation Act (1919), and the National Treasure Preservation Act (1929), which were all forms of Japanese Modern Cultural Heritage Law, and actually used the corresponding legal text of those laws. Thus, the fact that the Preservation Decree transplanted or imitated the Japanese Modern Cultural Heritage Law in the composition of the constitution can be proved to some extent. The main features and characteristics of the Preservation Decree are summarized below. First, in terms of preservation of cultural property, the Preservation Decree strengthened and expanded preservation beyond the existing conservation rules. In the conservation rules, the categories of cultural properties were limited to historic sites and relics, while the Preservation Decree classifies cultural properties into four categories: treasures, historic sites, scenic spots, and natural monuments. In addition, the Preservation Decree is considered to have advanced cultural property preservation law by establishing the standard for conserving cultural property, expanding the scope of cultural property, introducing explicit provisions on the restriction of ownership and the designation system for cultural property, and defining the basis for supporting the natural treasury. Second, the Preservation Decree admittedly had limitations as a colonial cultural property law. Article 1 of the Preservation Decree sets the standard of "Historic Enhancement or Example of Art" as a criteria for designating treasures. With the perspective of Japanese imperialism, this acted as a criterion for catering to cultural assets based on the governor's assimilation policy, revealing its limitations as a standard for preserving cultural assets. In addition, the Japanese imperialists asserted that the cultural property law served to reduce cultural property robbery, but the robbery and exporting of cultural assets by such means as grave robbery, trafficking, and exportation to Japan did not cease even after the Preservation Decree came into effect. This is because governors and officials who had to obey and protect the law become parties to looting and extraction of property, or the plunder and release of cultural property by the Japanese continued with their acknowledgement,. This indicates that cultural property legislation at that time did not function properly, as the governor allowed or condoned such exporting and plundering. In this way, the cultural property laws of the Japanese colonial period constituted discriminative colonial legislation which was selected and applied from the perspective of the Japanese government-general in the designation and preservation of cultural property, and the cultural property policy of Japan focused on the use of cultural assets as a means of realizing their assimilation policy. Therefore, this suggests that the cultural property legislation during the Japanese colonial period was used as a mechanism to solidify the cultural colonial rules of Chosun and to realize the assimilation policy of the Japanese government-general.

• Journal of the Korean Society of Food Science and Nutrition
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• v.31 no.3
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• pp.492-499
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• 2002

The objective of this study is to identify the attribute factors for fast food selection according to their characteristics of the use behaviors and demographics. The results of these findings suggest the attribute factors for selection were classified into ten : physical service, cleanliness/promptness, human service, convenience/promotion, accessibility, menu variety, food quality, service for child and parking, added service, and comfortness. “Cleanliness” and “good taste” were considered as determining factors in selecting a fast food restaurant. According to the consumer's use behaviors and demographics, attribute factors for fast food selection were significantly different. Therefore, the marketers and managers on the fast food industry should develop their own appropriate marketing strategies and implement effective targeting, positioning, and promotional strategies.

• The Korean Journal of Food And Nutrition
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• v.11 no.3
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• pp.323-328
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• 1998

This study was to investigate regularity of breakfast and food habits of commuting local college students. The regularly breakfast eating rate was found to be 32.9% in man and 26.5% in woman. The mean score of food habits was pretty low, 36.7 out of minimum possible score 12 and maximum 60. The mean score of nutrition attitude was 58.1 out of minimum possible score 18 and maximum 90. This survey showed that skipping breakfast or irregularity of breakfast led to overeating, high fat diet, lot of alcohol and imbalanced diet. It was known that breakfast was the most important among three meals. But having balanced breakfast daily was very difficult according to loss of appetite and busy schedule early in the morning. I suggested carbohydrate food, protein food, and vitamin & mineral food items desirable for nutritionally balanced, easily digestible, tasteful, quick and easily cooking breakfast menu. It was recommended to choose on item out of each of three food categories considering calory(1/3 of daily recommended calory intake for breakfast).

• Korean journal of food and cookery science
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• v.18 no.6
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• pp.704-715
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• 2002

This study intended to compare dietary and snack habits of primary students in the schools providing and non-providing lunch to clarify the correlation between those conditions and the occurrence of dental caries. Furthermore, this study also focused on evaluating educational effects by providing children with nutritional education program. 1. As a result of dietary habit analysis, it was found that children from the school providing lunch were better in terms of breakfast regularity, eating speed. optimum amount of intake, and meal time regularity than those from the school non-providing lunch. In particular, it was noted that children from the school providing lunch took a little more meat, fish, seaweed and milk or dairy products than those from school non-providing lunch. Thus, it could be assumed hat children provided with lunch have more reasonable dietary habit than those without lunch program. In general, it was found that there was a slight positive change in children's dietary habit after nutritional instruction than before, suggesting that the nutritional education had effects on improving their dietary habit. 2. It was found that primary students often took snacks causing dental caries such as caramel, chocolate, sweets and biscuits, and children from the school providing lunch were more willing to reduce those snacks upon recognizing the causes of dental caries than those from the school non-providing lunch. For the children who chewed gum with physical cleansing effects, it was shown that the highest frequency wat twice or three times a week. Moreover, the ratio of children who took snacks following dinner which might affect their dental caries and the ratio of children who selected snacks because of TV commercial were both reduced after nutritional education. Also the consumption of detergent foods like vegetable, fruit, protein. seaweed. milk or dietary products after nutritional education was increased. 3. It was found that children from the school providing lunch took more often all food groups except for food group IV affecting dental caries than those from the school non-providing lunch. The average number of consuming foods which cause dental caries was 5.04 times per person a day, and most of those were rather taken by liquid than solid food. The average eating times of rinsing foods which kill the bacteria on the surface of teeth and prevent from dental caries, was 9.33 for a person a day, which was a little higher than recommended time. Exposed time for dental caries for a person a day was 100.9 min, of which liquid dental caries was 56.2 min and solid dental caries was 44.6 min, suggesting that liquid food had a high potential to cause dental caries.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.3
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• pp.319-332
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• 2009

The present study was performed to analyze the life style and eating behavior of stroke patients and to find the risk factors related to stroke incidence in Daegu and Gyeongbuk Province, Korea. The case subjects (n=100) were selected from newly diagnosed stroke patients at Kyungpook National University Hospital. The control subjects (n=150) were selected from community inhabitants who did not have stroke history and were sex and age-matched with the case subjects. The survey was conducted by individual interviews using questionnaires on the general characteristics, life-style, eating behavior, food intake frequency and food preference. The high body mass index, preexisting diseases such as diabetes and hypertension, stroke family history, smoking, overeating habit and high preference for sweet, greasy and meat foods appeared to be the risk factors for stroke incidence. On the other hand, the results suggest that life style of regular exercise and nonsmoking, food habits of green tea drinking and enough chewing, preference for Korean meal type, high intake frequency for legumes, vegetables, mushrooms, seaweeds, fishes and shell fishes, soy milk and green tea might be the protective factors for the stroke. Therefore, maintenance of healthy weight, the prevention and management of the deteriorative chronic diseases, change of life style and improvement of eating behaviors are considered to be important for stroke prevention.

• Korean Journal of Environment and Ecology
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• v.32 no.3
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• pp.342-350
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• 2018

The purpose of this study was to identify the environmental factors that affect the beginning and end of calling by Hyalessa fuscata and Cryptotympana atrata, which are dominant cicada species in the central urban areas of Korea. The study area was Banpo Apartments in Seoul. The research period included two months, being from the end of July to the end of August 2015. We analyzed the start and end time of cicada calling, and on average H. fuscata started calling at 5:21 am and C. atrata started at 7:40 am. The average end time of calling was 6:31 pm for H. fuscata and 7:51 pm for C. atrata. From the scatter plot and box plot results, H. fuscata started calling at 05:00 am, whereas C. atrata consistently stopped calling at 20:00 pm compared to H. fuscata. Multiple regression analysis of the start and end time of cicada calling showed that sunrise time was a factor affecting the start of H. fuscata calling. The end time of H. fuscata calling was affected by sunset time and total cloud cover. The starting time of C. atrata calling was mostly affected by temperature and sunrise time. The effect of temperature was greater than that of sunrise time. The end time of C. atrata calling was strongly affected by sunset time, whereas peak temperature was also shown to affect the end time. From the above results, sunrise and sunset are thought to be the critical factor affecting the start and end time of H. fuscata calling. Therefore, H. fuscata started calling with sunrise, and the end time was also affected by sunset. Temperature was the factor most affecting the start of C. atrata calling and sunset was identified as the factor affecting the end time. Therefore, the start time of C. atrata calling shows variation with daily temperature changes, and C. atrata stop calling simultaneously with sunset.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.39-54
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• 2013

Recent explosive increase of electronic commerce provides many advantageous purchase opportunities to customers. In this situation, customers who do not have enough knowledge about their purchases, may accept product recommendations. Product recommender systems automatically reflect user's preference and provide recommendation list to the users. Thus, product recommender system in online shopping store has been known as one of the most popular tools for one-to-one marketing. However, recommender systems which do not properly reflect user's preference cause user's disappointment and waste of time. In this study, we propose a novel recommender system which uses data mining and multi-model ensemble techniques to enhance the recommendation performance through reflecting the precise user's preference. The research data is collected from the real-world online shopping store, which deals products from famous art galleries and museums in Korea. The data initially contain 5759 transaction data, but finally remain 3167 transaction data after deletion of null data. In this study, we transform the categorical variables into dummy variables and exclude outlier data. The proposed model consists of two steps. The first step predicts customers who have high likelihood to purchase products in the online shopping store. In this step, we first use logistic regression, decision trees, and artificial neural networks to predict customers who have high likelihood to purchase products in each product group. We perform above data mining techniques using SAS E-Miner software. In this study, we partition datasets into two sets as modeling and validation sets for the logistic regression and decision trees. We also partition datasets into three sets as training, test, and validation sets for the artificial neural network model. The validation dataset is equal for the all experiments. Then we composite the results of each predictor using the multi-model ensemble techniques such as bagging and bumping. Bagging is the abbreviation of "Bootstrap Aggregation" and it composite outputs from several machine learning techniques for raising the performance and stability of prediction or classification. This technique is special form of the averaging method. Bumping is the abbreviation of "Bootstrap Umbrella of Model Parameter," and it only considers the model which has the lowest error value. The results show that bumping outperforms bagging and the other predictors except for "Poster" product group. For the "Poster" product group, artificial neural network model performs better than the other models. In the second step, we use the market basket analysis to extract association rules for co-purchased products. We can extract thirty one association rules according to values of Lift, Support, and Confidence measure. We set the minimum transaction frequency to support associations as 5%, maximum number of items in an association as 4, and minimum confidence for rule generation as 10%. This study also excludes the extracted association rules below 1 of lift value. We finally get fifteen association rules by excluding duplicate rules. Among the fifteen association rules, eleven rules contain association between products in "Office Supplies" product group, one rules include the association between "Office Supplies" and "Fashion" product groups, and other three rules contain association between "Office Supplies" and "Home Decoration" product groups. Finally, the proposed product recommender systems provides list of recommendations to the proper customers. We test the usability of the proposed system by using prototype and real-world transaction and profile data. For this end, we construct the prototype system by using the ASP, Java Script and Microsoft Access. In addition, we survey about user satisfaction for the recommended product list from the proposed system and the randomly selected product lists. The participants for the survey are 173 persons who use MSN Messenger, Daum Caf$\acute{e}$, and P2P services. We evaluate the user satisfaction using five-scale Likert measure. This study also performs "Paired Sample T-test" for the results of the survey. The results show that the proposed model outperforms the random selection model with 1% statistical significance level. It means that the users satisfied the recommended product list significantly. The results also show that the proposed system may be useful in real-world online shopping store.

• Korean Journal of Remote Sensing
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• v.28 no.5
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• pp.489-499
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• 2012

In this paper, a classifier ensemble framework for remote sensing data classification is presented that combines classification results generated from both different training sets and different classifiers. A core part of the presented framework is to increase a diversity between classification results by using both different training sets and classifiers to improve classification accuracy. First, different training sets that have different sampling densities are generated and used as inputs for supervised classification using different classifiers that show different discrimination capabilities. Then several preliminary classification results are combined via a majority voting scheme to generate a final classification result. A case study of land-cover classification using multi-temporal ENVISAT ASAR data sets is carried out to illustrate the potential of the presented classification framework. In the case study, nine classification results were combined that were generated by using three different training sets and three different classifiers including maximum likelihood classifier, multi-layer perceptron classifier, and support vector machine. The case study results showed that complementary information on the discrimination of land-cover classes of interest would be extracted within the proposed framework and the best classification accuracy was obtained. When comparing different combinations, to combine any classification results where the diversity of the classifiers is not great didn't show an improvement of classification accuracy. Thus, it is recommended to ensure the greater diversity between classifiers in the design of multiple classifier systems.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.21-28
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• 2020

Technological advancements such as artificial intelligence, robots, and big data are revolutionizing the entire society. In this paper, we analyzed preliminary teachers' daily internet/gaming/smartphone habit and the difference between preference factors in gender and diagnosis group in the situation of ethical dilemma in driverless cars. The result shows most of the male students are in high risk group of daily internet/gaming usage, and male students tend to be more immersed in games compared to female students, which negatively affects their daily lives. Students who have at least one of the daily internet/gaming/smartphone habits are more likely to be classified as high-risk group in all three of daily internet/gaming/smartphone habit. Fortunately, the students perceived themselves addicted and wanted change their habits. An analysis by a moral machine of these students tells that there is no significant difference in preference between male and female students and among diagnosis groups. However, specifically in the ethical dilemma of driverless cars, all the groups of male, female, normal, high-risk showed they have priority in pedestrians over drivers, a large number of people over small, and people who obey traffic rules over who do not. The tendency was pronounced in female group and high-risk students prioritized people who are older and in lower social status.