• Journal of the East Asian Society of Dietary Life
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• v.24 no.5
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• pp.572-584
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• 2014

The purpose of this study was to investigate the levels of recognition, practice and information acquisition behaviors regarding food additives of university students for development of educational programs. The data were collected from 283 students in the Yeungnam region through a self-administered questionnaire. The level of concern about food additives was intermediate. The level of checking labels for food additives when buying processed foods was not high. The main reason for not checking labels for food additives was "Buying the special brand products repeatedly". In the factor analysis for perception of food additives, three factors were categorized; effect of food additives on human health, administration and regulation of food additives, and necessity of food additives. According to regression analyses, grade, concern about food additives and perception of amount of food additives had significant effects on human health. The significant variables for administration and regulation of food additives were gender, grade, major, monthly allowance and concern about food additives. In addition, major was a significant variable for the necessity of food additives. Many respondents did not reduce intake of food additives; males did less than females. Most respondents answered they did not acquire sufficient information about food additives. Regarding needs for information content on food additives, respondents wanted information about safety of food additives the most, followed by items of labels for food additives, and ways to reduce intake of food additives.

• Journal of KIISE
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• v.43 no.1
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• pp.47-53
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• 2016

While the Internet develops rapidly, a huge amount of image data collected from smart phones, digital cameras and black boxes are being shared through social media sites. Generally, social images are handled by tagging them with information. Due to the ease of sharing multimedia and the explosive increase in the amount of tag information, it may be considered too much hassle by some users to put the tags on images. Image retrieval is likely to be less accurate when tags are absent or mislabeled. In this paper, we suggest a method of extracting tags from social images by using image content. In this method, CNN(Convolutional Neural Network) is trained using ImageNet images with labels in the training set, and it extracts labels from instagram images. We use the extracted labels for automatic image tagging. The experimental results show that the accuracy is higher than that of instagram retrievals.

• Korean journal of food and cookery science
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• v.24 no.2
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• pp.164-173
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• 2008

The objectives of this study were to determine the preferences and consideration factors for selecting processed foods, in middle school students as well as their perceptions on food and nutrition labeling student. Middle school students in the Seoul area were surveyed from October to November, 2006. The results are summarized as follows: the preferred processed foods included 'drinks' (3.85), 'noodles' (3.81), 'biscuits and bread' (3.80), 'milk and dairy products' (3.71), and 'meat and meat products' (3.60). The most important consideration factors in selecting processed foods were 'expiration date' (4.45), 'taste' (4.34), and 'price' (4.08). The two main reasons for eating processed foods were 'delicious' (43.1%) and 'convenient' (33.9%). Food labels were identified 'sometimes' (34.5%), 'rarely' (31.2%), and 'almost never' (18.6%). The primary reason for examining a food label was 'to confirm the expiration date' (52.6%). The main reason for not reviewing a food's label was 'habitual purchase' (57.8%). Nutrition labels were identified 'rarely' (33.4%), 'almost never' (24.7%), and 'sometimes' (23.5%). The reasons for examining nutrition labels included 'to confirm a high proportion of nutritive substances' (26.5%), 'boredom' (24.2%), 'for weight control' (23.5%), and 'to improve health' (18.1%). The main reason for not examining a food's nutrition label was 'not interested' (56.5%).

• Journal of the Korean Dietetic Association
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• v.27 no.3
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• pp.149-161
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• 2021

The purpose of this study was to compare nutrition labeling use according to the gender and obesity degree of adolescents to help choose the healthy foods and improve dietary habits. This study surveyed the perception and use of nutrition labeling among 392 male and female high school students in Chungnam. It was found that 34.7% of the subjects read the nutrition labels, mostly for health reason. Calorie content was read the most among all components of nutrition labels regardless of gender or body mass index (BMI) status, especially among female students. Perception of nutrition labeling was 3.3 out of 5 points for all students, and there was no significant difference in scores between male and female students. However, there was a significant difference between the overweight group (3.4 points), normal group (3.3 points), and underweight group (3.1 points) (P<0.05). The frequency of reading nutrition labels by food group was highest for ramen, and lowest for fruits. Female students had significantly higher scores on the use of nutrition labeling for 8 food groups out of 12 groups compared to male students (P<0.05). In addition, the overweight and above group had significantly higher scores on the use of nutrition labeling for snack food and fruits compared to other groups (P<0.05). The proportion of students who received nutrition labeling education was 29.8%, and about half of students answered that such education and advertisement were necessary. These results suggest that nutritional education is needed to promote the use of nutrition labeling in adolescents.

• Korean Journal of Clinical Pharmacy
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• v.32 no.1
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• pp.1-7
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• 2022

Objective: The purpose of this study was to detect signals of Adverse Events (AEs) after varenicline treatment using spontaneous AEs reporting system in Korea. Methods: This study was conducted by Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database (KIDS-KD) reported from January 2013 to December 2017 through Korea Adverse Event Reporting System. Signals of varenicline that satisfied the data-mining indices, proportional reporting ratio, reporting odds ratio and information component were defined. The detected signals were checked whether they included in drug labels in South Korea and United States of America (USA). Results: A total number of drug AE reports associated with all drugs in the KIDS-KD reported between January 2013 and December 2017 was 2,665,429. Among them, the number of AE reports associated with varenicline was 1,398. Eighteen meaningful signals of varenicline were detected that satisfied with the criteria of data-mining indices. Finally, two signals such as hypotonia, incorrected dose administered were not included in the drug labels. Conclusion: New AE signals of varenicline that were not listed on the drug labels in South Korea and USA were detected. However, further pharmacoepidemiological studies such as randomized controlled trial are needed to evaluate the causality of the signals of varenicline.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.835-843
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• 2023

Given the structure of XML data, path and tree pattern matching algorithms play an important role in XML query processing. To facilitate decisions or relationships between nodes, nodes in an XML tree are typically labeled in a way that can quickly establish an ancestor-descendant on relationship between two nodes. However, these techniques have the disadvantage of re-labeling existing nodes or recalculating certain values if insertion occurs due to sequential updates. Therefore, in current labeling techniques, the cost of updating labels is very high. In this paper, we propose a new labeling technique called Fast XML encoding, which supports the update of order-sensitive XML documents without re-labeling or recalculation. It also controls the length of the label by reusing deleted labels at the same location in the XML tree. The proposed reuse algorithm can reduce the length of the label when all deleted labels are inserted in the same location. The proposed technique in the experimental results can efficiently handle order-sensitive queries and updates.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.33-43
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• 2022

Labeled graphs are used to represent entities, their relationships, and their structures in real data such as knowledge graphs and protein interactions. With the rapid development of IT and the explosive increase in data, there has been a need for a subgraph matching technology to provide information that the user is interested in. In this paper, we propose an approximate Top-k labeled subgraph matching scheme that considers the semantic similarity of labels and the difference in graph structure. The proposed scheme utilizes a learning model using FastText in order to consider the semantic similarity of a label. In addition, the label similarity graph(LSG) is used for approximate subgraph matching by calculating similarity values between labels in advance. Through the LSG, we can resolve the limitations of the existing schemes that subgraph expansion is possible only if the labels match exactly. It supports structural similarity for a query graph by performing searches up to 2-hop. Based on the similarity value, we provide k subgraph matching results. We conduct various performance evaluations in order to show the superiority of the proposed scheme.

• Information Systems Review
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• v.22 no.2
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• pp.53-76
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• 2020

This article is an exploratory empirical study on the introduction of the Electronic Shelf Labels (ESL) system, which is spreading to offline stores as a new price information system for retail stores in Korea. In order to conduct this study, eight measurement items were derived from the IT-BSC perspective as performance factors, and the AHP technique was used as a method for relative evaluation of priorities among the items. The survey, which was conducted for about 1 year and 6 months, examined changes in store employees' perceptions of performance factors before and after the introduction of the ESL system. The results showed that there were differences in high priority items between before and after introduction. This study suggests academic implications in that the AHP technique is used to measure the change in the perception of post-performance and expectation factors for products and services, and this study also suggests practical implications by raising the need for continuous improvement of products and services for customer value propositions that change with the maturity of the experience.

• Information Systems Review
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• v.20 no.2
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• pp.189-207
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• 2018

This study aims to analyze price information system and pricing label operation process, which are important information delivery systems of retail stores. This study also intends to identify the problems in store operation and identify academic and practical methods. In-depth interviews, direct observation, and service blueprint techniques were used to define problems in the existing business operation process, and an operating process based on the electronic shelf label (ESL) system is designed as an alternative to problem solving. The changes of the operating process before and after introduction were compared. Results of this study suggest practical implications that the ESL system can be used to solve the problems of the current price management process. The study also suggests the academic significance of presenting a complex research method of problem finding, cause analysis, and alternative presentation by using each research method complementarily.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.12
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• pp.1784-1792
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• 2007

This study set out to identify the problems with hat labels and to search for improvement measures by examining and analyzing consumers' practice of managing their hats. It also intended to provide accurate and enough information about how to keep and wash hats and thus help consumers use their hats for a long period. In an attempt to investigate how consumers wash and manage their hats, a survey was carried out to 395 individuals in their twenties and over who owned hats living in urban areas including Seoul, and were quota sampled according to age and gender. The survey period is March to April 2007. The collected data were statistically treated with the SPSS 12.0 program in terms of frequency, percentage, mean, standard error, cross tabulation, t-test, and one-way ANOVA. The findings were as followed. First, the respondents were in the average level of perceiving and practicing the washing methods of their hats. The female respondents who had more experiences with laundering than the males knew and practiced the washing methods for hats better than males. Second, compared to other clothing items, hat wearers were more likely to pay careful attention to their hats by putting their hats in a laundry net and applying a laundry detergent for wool fabrics when using a washing machine or washing their hats with their own hands. And third, most of the hat wearers were aware of the importance of hat labels and showed a lower level of trust in them than other clothing items. The suppliers need to offer accurate and practical labels in order to regain the consumers' trust. Many consumers had some difficulties figuring out the size system of hats. In particular, the male consumers had a low level of perception of labels, which implies that there should be specific efforts to educate them about general labels.