• 대한지역사회영양학회지
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• 제28권1호
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• pp.38-47
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• 2023

Objectives: This study examined the association between the experience of disease management education and the use of nutrition labels according to the sociodemographic characteristics and health behaviors of people diagnosed with hypertension and diabetes living in the community. Methods: Among the participants from the Community Health Survey (2018), 74,283 individuals diagnosed with hypertension or diabetes were included in the study population. According to gender, this study evaluated nutrition label use by the experience of disease management education, individual sociodemographic characteristics, and health behavior. Finally, using multiple logistic regression analysis, the association between disease management education and nutrition labels was calculated using the odds ratio (OR) and 95% confidence interval (CI). Results: Males (24.5%) experienced more disease management education than females (22.6%). In addition, younger age, higher education level, and higher equalized personal income experienced more disease management education (P < 0.001). The educational experience rate was higher in the male subjects who did not smoke or were involved in high-risk alcohol consumption (P < 0.001). In addition, the rate of disease management education experience was significantly higher for both men and women who exercised by walking (P < 0.001). The use of nutrition labels was higher in females (9.9%) than males (5.8%), and both males and females were significantly higher in young age, high education, high income, and professional and office positions (P < 0.001). The utilization rate of nutrition labels was high in non-smoking male subjects and high-risk-drinking female subjects. In addition, the utilization rate of nutrition labels was significantly higher in males and females who exercised by walking and those who experienced disease management education (P < 0.001). After adjusting for individual sociodemographic characteristics, health behavior, and disease management education, the use of nutrition labels was high among females (OR 3.19, 95% CI 2.85-3.58), high income (Q4; OR 1.62, 95% CI 1.41-1.87, Q5; OR 1.58, 95% CI 1.37-1.84) and highly educated (high school; OR 2.87, 95% CI 2.62-3.14, above college; OR 5.60, 95% CI 5.02-6.23) while it was low in the elderly (OR 0.43, 95% CI 0.40-0.47), and economically inactive (OR 0.86, 95% CI 0.76-0.96). The use of nutrition labels was high in non-smokers (OR 1.29, 95% CI 1.13-1.48), nonhigh-risk drinkers (OR 1.22, 95% CI 1.08-1.38), and subjects who exercised walking (OR 1.44, 95% CI 1.34-1.54). There was no difference in the utilization rate of nutrition labels according to obesity, and the utilization rate of nutrition labels was significantly higher in subjects who had experienced disease education (OR 1.34, 95% CI 1.24-1.44). Conclusions: Education on the use of nutrition labels, which contributes to food selection for healthy eating, might be a tool for dietary management. Moreover, the utilization rate can be a good indicator for predicting the proportion of the population practicing the guide for disease management. Improving the utilization rate of nutrition labels through disease management education can be a useful intervention for people with chronic diseases who need healthy eating habits for disease management and preventing complications, particularly those diagnosed with hypertension and diabetes.

• 한국ITS학회 논문지
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• 제23권2호
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• pp.1-14
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• 2024

지금까지의 최적경로탐색 알고리즘은 노드표지와 링크표지를 적용하는 방안이 소개되었다. 노드표지는 2개의 노드를 최적경로 탐색과정에서 동시에 고려한다. 링크표지는 2개의 링크를 탐색과정에서 동시에 고려한다. 본 연구는 2개의 회전을 탐색과정에서 동시에 고려하는 회전표지기반 최적경로탐색기법을 제안한다. 회전표지기반 최적경로탐색은 2개의 회전을 탐색과정에서 고려하기 때문에 Bellman(1957)의 최적원리에 근거한 동적프로그래밍의 최적해가 보장된다. 한편 회전표지기반 최적경로탐색은 링크표지의 극한 접근 개념을 동일하게 적용하기 때문에 링크표지를 적용하는 장점을 수용할 수 있다. 따라서 네트워크의 확장없이 노드는 복수의 방문이 허용되면서 링크는 방문이 허용되지 않는 합리적 순환통행을 반영하는 것이 가능하다. 특히 2개의 연속회전에서 나타나는 추가적인 비용구조를 반영하는 특성이 포함되어 통행비용함수의 구조를 보다 유연하게 표현하는 것이 가능하다. 교통카드 단말기로 구성된 수도권 도시철도 네트워크를 대상으로 시행된 사례연구는 연속된 보행환승이 나타나는 통행에 대한 심리적 저항감을 나타내는 파라메타를 Turn Label 최적경로탐색에 도입하여 연구의 현실적 확장성을 검토하였다. 연속회전에 대한 심리적 저항값이 커지면서 통행시간 및 거리가 늘어나도 연속된 환승을 우회하는 방안으로 시뮬레이션 결과가 도출되어 Turn Label의 비용구조를 반영하는 것이 확인되었다. 향후 도로교통망 및 대중교통망의 통행비용함수에 대해 다양성을 확보하기 위한 추가적인 연구의 진행이 필요하다.

• 지역사회간호학회지
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• 제27권3호
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• pp.262-271
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• 2016

Purpose: Using food labels has been related to healthy eating habits and positive health outcomes. The purpose of this study is to describe the prevalence of food labels utilization and the association between food label use and obesity related factors. Methods: We conducted a self-reported population-based survey including health behaviors, 24-hour recalls, measurements of body mass indices with 6,266 Koreans aged 10 or older. ${\chi}^2$-test and ANOVA examined differences in demographic factors, health behavioral factors, and nutrition factors in tandem with food label use categories. Multivariates logistic regression was used to estimate association between food label use and obesity factors. Results: The percentages of food label users and non-users who perceive food labels were 21.8% and 48.5% respectively. In the multivariate logistic regression, food label use had significant positive associations with women, age, income, education attainment, and subjective obesity. After adjusting for socioeconomic factors and dietetic treatments, the positive associations between food label use and subjective obesity, weight control, and subjective obesity with objective normal weight remained. Conclusion: In order to improve eating habits and weight management, the obesity population that does not use food labels needs to receive proper nutrition education including food choice and body image correction.

• 보건교육건강증진학회지
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• 제29권5호
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• pp.1-12
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• 2012

Objectives: Dietary modifications are common treatment strategies for adults with metabolic syndrome, but it is unclear how often these individuals read food labels. The objective of this study was to examine if adults with metabolic syndrome read food labels when buying packaged foods and to determine factors related to label use. Methods: From the database of the Fifth Korean National Health and Nutrition Examination Survey(KNHANES-V), 1,335 adults with metabolic syndrome and 3,696 those without were selected. Data were analyzed using frequency distributions, $X^2$ test and multiple logistic regression with the SPSS win 18.0 program. Results: Adults with metabolic syndrome read food labels less than individuals without it when they purchase packaged foods(12.5% vs 29.0%). Among those without metabolic syndrome, food label use was significantly higher among participants who were women, younger, educated, and trying to control weight. Conclusions: Strategies to use food label as a diet management tool for metabolic syndrome are needed.

• 한국식생활문화학회지
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• 제17권3호
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• pp.299-308
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• 2002

The purposes of this study were to examine understanding, attitudes, and behaviors of college students regarding the nutrition labels of food package and the relations among these factors and demographic background such as educational experience with label, major, home place and parents' status. The study was surveyed 471 undergraduate students enrolled in general education classes at local university. Generally, college students could understand nutrition label. Nutrition related class in college didn't influence Nutrition label understanding, use and purchasing behavior. Students whose mothers with higher than college education level and professional work showed strong dependability on nutrition label. Label use, understanding and purchasing behaviors significantly associated with gender of subjects. All the subjects looked at the amount of sodium most frequently among all the nutrients listed on the food package(88.8%). Of all the food labels, the manufacturing date(25.1%) was considered the most important and the refund and exchange(12.9%) was considered the least important information. This paper suggested that nutrition education program for college students needs to be developed in series from elementary school curriculum and to enhance the use of nutrition labels.

• 스마트미디어저널
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• 제10권1호
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• pp.79-87
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• 2021

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.182-190
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• 2021

Deep learning is an advanced technology for large-scale data analysis, with numerous promising cases like image processing, object detection and significantly more. It becomes customarily to use transfer learning and fine-tune a pre-trained CNN model for most image recognition tasks. Having people taking photos and tag themselves provides a valuable resource of in-data. However, these tags and labels might be noisy as people who annotate these images might not be experts. This paper aims to explore the impact of noisy labels on fine-tuning pre-trained CNN models. Such effect is measured on a food recognition task using Food101 as a benchmark. Four pre-trained CNN models are included in this study: InceptionV3, VGG19, MobileNetV2 and DenseNet121. Symmetric label noise will be added with different ratios. In all cases, models based on DenseNet121 outperformed the other models. When noisy labels were introduced to the data, the performance of all models degraded almost linearly with the amount of added noise.

• 한국융합학회논문지
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• 제8권12호
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• pp.243-248
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• 2017

본 연구는 국외 스포츠의류의 라벨 표준화를 목표로 설정하였다. 라벨의 이론적 고찰을 통해 스포츠의류브랜드의 국외 상의 티셔츠를 중심으로 라벨을 조사하였다. 이를 토대로 32개 라벨 시안을 디자인하여 32명의 남녀 20~30대를 설문 조사하였다. 그 결과 피실험자는 size, fit, washing symbol mark, function의 정보표기를 선호하였다. 이와 같은 결과를 토대로 균형성, 간결성, 위계성, 인지성, 조화성을 고려한 보완된 라벨을 디자인하였다. 연구대상은 20~30대 남녀 12명을 심층 인터뷰하였다. 그 결과 피실험자는 자간과 공간, 정보표기 강조의 최대, 최소화로 인하여 라벨의 인지 선호도를 선정한다는 것을 알 수 있었다. 본 연구의 결과를 토대로 라벨 표준화를 활용하면 의류의 필수 정보를 쉽고 빠르게 인지할 수 있고, 소비자와 브랜드의 원활한 소통이 이루어질 것으로 판단한다. 또한, 언어의 통일화와 표준화된 라벨을 통해 소비자들은 얻고자 하는 정보를 쉽게 식별할 것으로 기대한다.

• 정보관리학회지
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• 제23권2호
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• pp.39-59
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• 2006

본 연구에서는 효율적인 정보접근 도구로서의 대학 웹사이트 설계를 위한 정보구조 및 카테고리 레이블을 마련하기 위해 현재 미국 문헌정보학과 웹사이트 17개를 메인메뉴구조, 하부 카테고리, 레이블링을 기준으로 분석하였다. 분석결과 메인메뉴구조는 현재 17개 조사대상 웹사이트에서 모두 공통으로 제공하고 있는 9개 카테고리로 구성하는 것이 바람직한 것으로 나타났으며 둘째, 그 다음 수준의 서브 카테고리는 9개의 카테고리의 내용의 의미를 고려해서 35개 카테고리로 나누는 것이 바람직한 것으로 나타났다. 마지막으로 카테고리 테이블로 사용되는 용어는 17개 웹사이트에서 가장 많이 사용하고 있는 용어를 사용하는 것이 바람직한 것으로 나타났다.

• 대한영양사협회학술지
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• 제13권2호
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• pp.123-137
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• 2007

The purpose of this study was to investigate the current nutritional labeling practices in the processed foods industry. Package labels provide consumers with reliable nutritional information, which has been considered a useful aid for food selection and a potent educational tool for nutrition in a daily life. To assess the nutritional composition labeling and nutritional claims on the food package labels in the Korean market, 2,691 processed foods were purchased from a wholesale market in August, 2004, under the food categories specified in the 2004 Food Code. Nutritional composition labels were found on 674 out of the 2,691 processed foods items. The study findings were as follows. Milk and dairy products showed the highest percentage(56.6%) of nutritional composition labeling among the food categories, while 86.2% of processed foods carried inappropriate types of nutrition labels. The title of nutritional composition labeling was ordered according to the nutritional composition presented on the top part of the box. The regulations method which it indicates was 77.8%. The expression unit of the nutritional composition labeling was per 100g(32.8%) or per OOg (29.4%). Of total processed foods, 83(3.1%) offered nutritional claims in their labels. These claims were divided into two ways: nutrient content claims and nutrient comparative claims. The most frequently used term in nutrient content claims was "contained"(67.2%). "More" or "Plus" were frequently used term in nutrient comparative claims(11.2%). Calcium was the most popular among nutrients claimed by processed foods(34.3%).