• Journal of Korea Multimedia Society
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• v.18 no.1
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• pp.25-34
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• 2015

Recently, in distribution market, demand for electronic shelf label system is increasing gradually to provide the accurate price immediately and detailed product information to consumers and reduce operation costs. Most of electronic shelf label system companies develop the full-graphic display device to display a wide variety of product information as well as the exact price. Our system had introduced Go-Back-N retransmission method in the early. However, we encountered performance problems that it delayed updating of the electronic shelf label system and exhausted the battery life time. Proposed adaptive image retransmission technique based on the selective scheme is that tags of electronic shelf label system recognize idle time of transmission cycle and require partial image retransmission to sever by itself. As a result, it can acquire much more opportunities of partial image retransmission within the same period and increase reception rate of full image for each tags. The experimental result shows that adaptive image retransmission technique's reception rate of full image for each tags is approximately 4% higher than existing previous works. And total battery life time increases 30 hours because tag reduce wake-up time as it receive only lost data instead of whole data.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.29-41
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• 2021

Recently, there are increasing attempts to utilize deep learning methodology in the fashion industry. Accordingly, research dealing with various fashion-related problems have been proposed, and superior performances have been achieved. However, the studies for fashion style classification have not reflected the characteristics of the fashion style that one outfit can include multiple styles simultaneously. Therefore, we aim to solve the multi-label classification problem by utilizing the dependencies between the styles. A multi-label recognition model based on a graph convolution network is applied to detect and explore fashion styles' dependencies. Furthermore, we accelerate model training and improve the model's performance through transfer learning. The proposed model was verified by a dataset collected from social network services and outperformed baselines.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.1-7
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• 2021

In this paper, we propose a feature selection technique for multi-label classification. Many existing feature selection techniques have selected features by calculating the relation between features and labels such as a mutual information scale. However, since the mutual information measure requires a joint probability, it is difficult to calculate the joint probability from an actual premise feature set. Therefore, it has the disadvantage that only a few features can be calculated and only local optimization is possible. Away from this regional optimization problem, we propose a feature selection technique that constructs a low-rank space in the entire given feature space and selects features with sparsity. To this end, we designed a regression-based objective function using Nuclear norm, and proposed an algorithm of gradient descent method to solve the optimization problem of this objective function. Based on the results of multi-label classification experiments on four data and three multi-label classification performance, the proposed methodology showed better performance than the existing feature selection technique. In addition, it was showed by experimental results that the performance change is insensitive even to the parameter value change of the proposed objective function.

• Journal of Veterinary Science
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• v.21 no.3
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• pp.45.1-45.15
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• 2020

Background: Feline mammary carcinoma is the third most common cancer that affects female cats. Objectives: The purpose of this study was to screen differential serum proteins in feline and clarify the relationship between them and the occurrence of feline mammary carcinoma. Methods: Chinese pastoral cats were used as experimental animals. Six serum samples from cats with mammary carcinoma (group T) and six serum samples from healthy cats (group C) were selected. Differential protein analysis was performed using a Label-free technique, while parallel reaction monitoring (PRM) was performed to verify the screened differential proteins. Results: A total of 82 differential proteins were detected between group T and group C, of which 55 proteins were down regulated and 27 proteins were up regulated. Apolipoprotein A-I, Apolipoprotein A-II (ApoA-II), Apolipoprotein B (ApoB), Apolipoprotein C-III (ApoC-III), coagulation factor V, coagulation factor X, C1q, albumen (ALB) were all associated with the occurrence of feline mammary carcinoma. Differential proteins were involved in a total of 40 signaling pathways, among which the metabolic pathways associated with feline mammary carcinoma were the complement and coagulation cascade and cholesterol metabolism. According to the Label-free results, ApoB, ApoC-III, ApoA-II, FN1, an uncharacterized protein, and ALB were selected for PRM target verification. The results were consistent with the trend of the label-free. Conclusions: This experimen is the first to confirm ApoA-II and ApoB maybe new feline mammary carcinoma biomarkers and to analyze their mechanisms in the development of such carcinoma in feline.

• Nutrition Research and Practice
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• v.17 no.2
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• pp.297-306
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• 2023

BACKGROUND/OBJECTIVES: The prevalence of diabetes has continued to increase globally. Changes in eating habits, lack of exercise, increased stress, and aging are major contributors. Glycemic control is the key strategy of diabetes management. The purpose of this study was to analyze the utilization of nutrition labels and related factors among patients with diabetes. MATERIALS/METHODS: Data from the 7th Korea National Health and Nutrition Examination Survey were used. General, health-related, diabetes-related characteristics from 1,587 adults with diabetes history were included. Nutrition label utilization was assessed with awareness and use of nutrition labels and effects on food choice. For statistical analyses, chi-square test and multiple logistic regression analysis were performed. RESULTS: The prevalence of awareness, use, and effects of nutrition labels on food choice among diabetic patients were 48.8%, 11.4%, and 9.6%, respectively. High monthly income, walking frequency, family history of diabetes, younger age at diagnosis, and shorter duration of diabetes were associated with higher nutrition label awareness. Nutrition label use and effect on food choice were higher in women, those with high monthly income, those diagnosed at younger than 45 yrs, those with diabetes for less than 10 yrs, those with meal therapy, or patients who had undergone a fundus examination. CONCLUSIONS: Nutrition label utilization status was low in Korean patients with diabetes. Strategies are needed to promote nutrition label use as a diet management tool for patients with diabetes.

• Information Systems Review
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• v.22 no.3
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• pp.81-97
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• 2020

Recent trends in sentiment analysis have been focused on applying single label classification approaches. However, when considering the fact that a review comment by one person is usually composed of several topics or aspects, it would be better to classify sentiments for those aspects respectively. This paper has two purposes. First, based on the fact that there are various aspects in one sentence, aspect mining is performed to classify the emotions by each aspect. Second, we apply the multiple label classification method to analyze two or more dependent variables (output values) at once. To prove our proposed approach's validity, online review comments about musical performances were garnered from domestic online platform, and the multi-label classification approach was applied to the dataset. Results were promising, and potentials of our proposed approach were discussed.

• Journal of Nutrition and Health
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• v.41 no.8
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• pp.839-850
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• 2008

This study describes the demographic and diet-related psychosocial correlates of nutrition label use, and examines the relationship between label use and diet. Self-reported dada from a population-based cross-sectional survey of 2073 Korean women aged 20 to 60 years were collected to identify demographic and health-related characteristics, belief on diet-disease relationship, awareness on importance of healthy eating practice and diet quality associated with label use. Label users, who are in the stage of action and maintenance (31.6%), were more likely to have belief on nutrient-disease relationship (in sodium, cholesterol, sugar and trans fat) and were more likely to have higher awareness of the importance of healthy eating practice compared with label nonusers, who are in the stage of precontemplation, contemplation and preparation. Label users were more likely to have higher dietary quality compared with label nonusers [odds ratio (OR) = 2.01; 95% confidence interval (CI): 1.66, 2.44](P < 0.001). Also, label use appeared to be associated with the consumption of diets that were higher vegetables and fruits, and lower in cholesterol. The findings of this study suggests that reading nutrition labels on food packages may improve food choices and enable healthful dietary practices.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10a
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• pp.386-388
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• 1998

Multiprotocol Label Switching(MPLS)는 기존 인터넷 라우팅에서 사용하는 longest prefix match 방식 대신에 short label exact match 방식을 사용함으로써 더 단순한 고속 포워딩 기술을 제공한다. 또한, 동일한 Forwarding Equivalence Class(FEC)에속하는 플로우들을 합성하여 하나의 레이블을 사용하는 방법 즉, Multipoint-to-point Tree(MPT)를 형성함으로써 확장설을 향상시켰다. 본 논문에선 현재 이슈가 괴고 있는 "IP address prefix"와 "host LSP"의 FEC타입과는 전송방식이 다른 브로드캐스팅을 위한"broadcast"FEC 타입을 제안하였으며, 브로드캐스트 패킷을 전송하는데 있어서 각각의Label Switched Path(LSP)제어 방식을 사용할 경우의 문제점을 분석하고, 유니캐스팅과 브로드캐스팅의 서로 다른 레이블 할당방식으로 인한 레이블 충돌을 해결하기 위해서 레이블 범위를 분류하여 사용하는 방식을 제안한다.해서 레이블 범위를 분류하여 사용하는 방식을 제안한다.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.47-58
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• 1997

The purpose of this study was to investigate the relationship between children's gender role attitude measured by component model and social competency. Subjects were 232 elementary school children: 113 4th graders and 119 6th graders. The main results were as follows. First there were significant differences in mean scores of gender role attitude with age and sex variable. And among three dimensions of component model(i.e, gender label-component links within-component links between-component links) the difference was most discriminant in gender label-component links. Second there were significant relationship between gender role attitude and social competency. Among three dimensions of gender role attitude the most predictor variable for social competency was gender label-component links. And among four dimensions of social competency the most effective criterion variable for gender role attitude was leadership. And there were significant differences in social competency score with mother's educational level and sex of children as well as gender role attitude. In conclusion children's gender role attitude influence their social competency. More flexible gender role attitude they have more improved in their social competency , especially in boys.

• Journal of Nutrition and Health
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• v.33 no.7
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• pp.763-773
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• 2000

On the basis of the concept retained in nutition label(NL) the consumer's perception use and demand on NL nutrition knowledge(NH) purchase of nutrient controlled food and dietary modification for health were examined. The subjects were 1203 house wives mainly in the age of 30-40 and self administered questionnaire was employed. The results were as follows. Subjects' demand on nutrition information was greater while the availablity and usefulness of NL was unsatisfactory. The purchase frequencies of nutrient controlled foods were higher compared to NL reading. The use comprehenison reliability of nutrition information were better in high NK group compared to low NK group except the reliability on health claims. The required nutrients for content information were in the order of calorie Ca cholesterol Fe protein and total fat. The demand for nutrient content information was carrelated with intention of subjects' dietary modification but not the use of NL. These results indicate that NL be a good source of nutrition information and the consumers' demand for NL was based on their dietary purpose though the use of NL was unconfirmed.