• The KIPS Transactions:PartC
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• v.11C no.4
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• pp.527-538
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• 2004

In this paper, we present the flow aggregation method and the FLTC(flow lasting time control) algorithm to reduce the number of flows and solve the scalability problem in high speed IP switching networks. The flow aggregation based on the destination address could reduce the total number of flows, improve the label efficiency, and increase the total amount of the switched packets. The FLTC algorithm also eliminates the waste of label by deleting the flow binding efficiently. With the traces of real Internet traffics, we evaluate the performance of these schemes by simulation. The label efficiency, the average number of label used, and the percentage of packets switched and the number of packets switched are used as performance measures for this simulation.

• Journal of the Korean Society of Food Culture
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• v.17 no.3
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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.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.397-400
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• 2011

In this paper, we propose an approach to detect the product label for mobile phone images based on saliency map and the local structure tensor. The object boundary information can be better described by the local structure tensor than other edge detectors, and the saliency map methods can find out the most salient area and shorten the computational time by reducing the size of the orignal image. Therefore, these two methods are considered for our product label detection. The experimental results show an acceptable performance based on our proposed approach.

• The Korean Fashion and Textile Research Journal
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• v.2 no.4
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• pp.331-338
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• 2000

To study on the actual condition of care label attached to clothing and consumers' perception, 250 summer clothes sold at department store-blouse, trousers, one-piece dress, knit cardigan and skirt-were investigated during July 2000. In addition, a questionnaire was administered to 192 women in Taegu during August. The fiber contents of surveyed clothes were polyester 100% & polyester blend (26%), rayon 100% & rayon blend (18%), cotton 100% & cotton blend (17%), wool 100% & wool blend (14%) and others. All clothes surveyed were attached care label and the signals showed on care labels were 4~6 kinds about cleaning, squeezing, drying, bleaching, and ironing methods. 92% of clothes had to be dry-cleaned and only 8% could be wet-cleaned. Considered the surveyed clothes were for summer which needs frequent washing and the clothing items, the number of clothes had to dry-cleaned were too many. The bleaching instructions were no chlorine bleach (74%), no bleaching (21%) and others. The ironing instructions were cool ironing ($80{\sim}120^{\circ}C$) with cover (24%) and warm ironing ($140{\sim}160^{\circ}C$) with cover (69%) primarily. The drying instructions was dry on a hanger in the shade (54%) and 38% had no signal or incorrect signal. The properties of summer clothes considered important by consumers were wrinkled hardly, hand-washable, machine-washable, needed no iron and etc. Actually most of summer clothes were hand or machine-washed. Also, the majority of respondents felt inconvenient to have to dry-clean summer clothes. More than 80% respondents looked over care label and fiber content label before buying clothes. However most of respondents did not followed that instructions exactly and thought care label instructions were not correct. Considered this results, the suppliers have to make efforts to attach correct and appropriate care label which furnish the correct information to consumers.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.559-568
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• 2008

Even though snacks or meals purchased by teenagers have dramatically increased in Korea, it has not been investigated whether teenagers know and take notice of the nutrition label. Therefore, in this study, we investigated the usefulness and utilization of food and nutrition labels amongst teenagers. Questionnaires were distributed 814 of junior-high school students and were completed by self-administrated questionnaires. Questionnaires included questions regarding general characteristics, perception and utilization of food and nutrition labels and degree of necessity and satisfaction on food products and nutrition labels. Data was analyzed with regards to sex and school year by using a SAS package program. Significant differences of each variable were tested by using the $x^2$-test, t-test and ANOVA. Only 4.4% of participants were well informed about food and nutrition labels, while 26.0% of them did not know about it. Most of participants(78%) perceived that food and nutrition labeling system is necessary but are not satisfied with it. More of them did not check the food and nutrition label when they purchased food. Students usually checked the food and nutrition label to know about the nutritional value, and additives. The survey showed that more than three quarters of participants take notice of the food and nutrition label on products whereas only 57.7% of them knew what the food and nutrition actually meant. This study showed that most teenagers did not know the food and nutrition label, didn't have right information and didn't use it. Therefore, it is necessary to include an educational program about the food and nutrition label in the school curriculum and that will help students use the nutrition label and help them choose healthy food.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.992-999
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• 2014

This paper presents an extensive experimental comparison of a variety of multi-label learning methods for the accurate prediction of subcellular localization of proteins which simultaneously exist at multiple subcellular locations. We compared several methods from three categories of multi-label classification algorithms: algorithm adaptation, problem transformation, and meta learning. Experimental results are analyzed using 12 multi-label evaluation measures to assess the behavior of the methods from a variety of view-points. We also use a new summarization measure to find the best performing method. Experimental results show that the best performing methods are power-set method pruning a infrequently occurring subsets of labels and classifier chains modeling relevant labels with an additional feature. futhermore, ensembles of many classifiers of these methods enhance the performance further. The recommendation from this study is that the correlation of subcellular locations is an effective clue for classification, this is because the subcellular locations of proteins performing certain biological function are not independent but correlated.

• Journal of KIISE:Information Networking
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• v.30 no.6
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• pp.787-798
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• 2003

The flow label field in IPv6 has been proposed to provide the QoS. Since the existing flow label specification scheme like random-number format utilizes the label only as the identifier of flow, it is not appropriate for providing differentiated services according to the characteristics of various types of real-time traffic. This paper proposes a hybrid scheme that makes use of the flow label fields as components of flow and QoS parameters as well. To be specific, this paper investigates a scheme that both guarantees the end-to-end service quality and utilizes efficiently backbone resources by allowing users to specify QoS parameters using flow labels. Assuming an MLPS-TE network as the backbone, we compare the performance of our proposed scheme with that of random-number scheme through simulation. The simulation result shows that our scheme is more efficient than the existing one in terms of the transmission rate as well as the resource utilization of the backbone.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.27-35
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• 2021

In this paper, we propose a new stacking ensemble framework for deep learning models which reflects the distribution of label embeddings. Our ensemble framework consists of two phases: training the baseline deep learning classifier, and training the sub-classifiers based on the clustering results of label embeddings. Our framework aims to divide a multi-class classification problem into small sub-problems based on the clustering results. The clustering is conducted on the label embeddings obtained from the weight of the last layer of the baseline classifier. After clustering, sub-classifiers are constructed to classify the sub-classes in each cluster. From the experimental results, we found that the label embeddings well reflect the relationships between classification labels, and our ensemble framework can improve the classification performance on a CIFAR 100 dataset.

• Korean Journal of Community Nutrition
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• v.15 no.4
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• pp.513-524
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• 2010

This study was designed to examine nutrition label use, self-efficacy, snacking and eating behaviors of middle school students, and to investigate if these characteristics were different by nutrition label use. A cross-sectional survey was conducted to 348 middle school students in Kyunggi, Korea. About a third of subjects read nutrition labels when they purchased snacks/packaged foods. Most nutrition label users were interested in reading information on calories, fat and trans-fat. Self-efficacy of eating/selecting snacks or general nutrition behavior was moderate (mean score: 44.4 out of 60), with significantly higher score in nutrition label users compared to nonusers (p < 0.001). Nutrition label users felt more confident in 9 items out of 15 items of self-efficacy, such as "taking fruits instead of cookies/candy for snack" (p < 0.001), "choosing milk instead of soft drink" (p < 0.01), "not having snacks after dinner" and "avoiding processed foods for snacks" (p < 0.05). Subjects had snacks 1.3 times a day, and nutrition label nonusers consumed snacks more frequently than the counterparts (p < 0.01). About 55% of nutrition label users and 64.7% of nonusers mainly purchased snacks for themselves (p < 0.05). Commonly purchased snacks by adolescents were ice cream, cookies/chips, breads and ramen. Major considerations in purchasing snacks were taste (46.9%) and price (34.6%). In selecting snacks, the influence of friends and parents was greater than the other sources. Based on eating frequency of snacks, nutrition label users were more likely to consume healthy snacks, such as fruit juices, vegetables, milk, yogurt, and potato/sweet potato than nonusers (p < 0.05). Eating behaviors measured by 15 items scored 33.6 out of 45. Nutrition label users showed better eating behaviors, such as "eating meals slowly", "eating foods cooked with plant oil", and "eating out less frequently" (p < 0.05). Study results showed that majority of adolescents did not read nutrition labels, selected snacks for themselves and had somewhat unhealthy foods for snacks. This study also showed the differences in self-efficacy, snacking and eating behaviors between nutrition label users and nonusers. In nutrition education, it is necessary to stress the importance and skills for reading nutrition labels. It is also needed to help adolescents to select healthy snacks and have desirable eating behaviors, as well as increasing self-efficacy.