• Journal of the East Asian Society of Dietary Life
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• v.27 no.1
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• pp.9-16
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• 2017

This study investigated recognition of food labeling of high school students (males 94 and females 85) in Yongin region. Recognition of food labeling was very high at 81.6%. For checking food labeling at the time of purchasing, 53.6% of the respondents always checked and the main reason was healthier food choice (49.2%). Satisfaction of food labeling was very low at 18.4%. In spite of very low satisfaction, 70.9% of respondents recognized necessity for education of food labeling. In terms of education method, respondents preferred 'school lecture' the most with 48.6%, which are in the following order: TV/newspaper/journal/book (37.4%) > internet lecture (10.1%) > education from parents (3.9%). Moreover, 83.2% of respondents answered 'positive change (ex. checking food labeling)' after getting education. Consequently, high school students had low level of utilization of food labeling at the time of purchasing. However, they showed high level of perception and educational need of food labeling as well as possibility of positive change after receiving education. Therefore, appropriate school education for food labeling may be able to lead a healthy eating habit of high school students.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.3
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• pp.83-89
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• 2015

Connected component labeling (CCL) is a mandatory step in image segmentation where objects are extracted and uniquely labeled. CCL is a computationally expensive operation and thus is often done in parallel processing framework to reduce execution time. Various parallel CCL methods have been proposed in the literature. Among them are NSZ label equivalence (NSZ-LE) method, modified 8 directional label selection (M8DLS) method, HYBRID1 method, and HYBRID2 method. Soh et al. showed that HYBRID2 outperforms the others and is the best so far. In this paper we propose a new hybrid parallel CCL algorithm termed as HYBRID3 that combines selective four directional label search (S4DLS) with label backtracking (LB). We show that the average percentage speedup of the proposed over M8DLS is around 60% more than that of HYBRID2 over M8DLS for various kinds of images.

• Journal of KIISE:Databases
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• v.36 no.3
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• pp.180-188
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• 2009

Recently, the needs for an efficient and secure access control method of dynamic XML data in a ubiquitous data streams environment have become an active research area. In this paper, we proposed an improved role-based prime number labeling scheme for an efficient and secure access control labeling method in dynamic XML data streams. And we point out the limitations of existing access control and labeling schemes for XML data assuming that documents are frequently updated. The improved labeling method where labels are encoded ancestor-descendant and sibling relationships between nodes but need not to be regenerated when the document is updated. Our improved role-based prime number labeling scheme supports an infinite number of updates and guarantees the arbitrary nodes insertion at arbitrary position of the XML tree without label collisions. Also we implemented an efficient access control using a role-based prime number labeling. Finally, we have shown that our approach is an efficient and secure through experiments.

• The Korean Journal of Food And Nutrition
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• v.31 no.1
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• pp.143-148
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• 2018

The objective of this study is to provide direction in the improvement of sodium labeling in an effort to reduce consumption. We surveyed confirmation and importance of food labeling and nutrition information and we also analyzed the willingness to pay on new nutrients labeling. Consumers checked the sell-by-date, product name, method of intake, but not nutritional information. They also checked for calories and carbohydrates but they were not interested in sodium, sugar, and trans fat which are health hazard nutrients. It is necessary to improve nutrition labeling, because consumers are experiencing difficulties in obtaining sodium information under the nutrition labeling system. Consumers will pay about 0.66% more if new sodium labeling is introduced. In conclusion, food labeling system can be improved by smooth and efficient access of information. for health-hazard nutritional components, such as sodium, it is important to introduce policies that reduce their intake. This can be done by providing consumers with clear and concise information. The social costs of high sodium intake could be reduced, hence improving the national health.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.169-169
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• 2001

Purpose： To assess the clinical usefulness of Transfer Insensitive Labeling Technique (TILT) in t evaluation of ischemic cerebrovascular disease. Method： Arterial spin labeling (ASL) is a method of perfusion weighted imaging usin endogenous water as a tracer. To avoid MT-related artifacts, which is common in usual A technique, a transfer insensitive labeling technique (TILT) was used, which globall manipulate macromolecular spins in the same way by both labeling and reference preparatio while free water is labeled in one case and left unchanged in the other. Philips Interal 1.5 T system was used. 40cm FOV and 32 repeated measurements were done because of the wea perfusion signal. 5 slices of supratentorial brain were obtained in 5 patients ｛MCA infar (n=3), moyamoya disease (n=2)｝. We simultaneously obtained contrast enhanced T2＊-weighted perfusion MRI and correlate to TILT images.

• Journal of KIISE:Databases
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• v.33 no.1
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• pp.129-137
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• 2006

An XML labeling scheme is an efficient encoding method to determine the ancestor-descendant relationships of elements and the orders of siblings. Recently, many dynamic XML documents have appeared in the Web Services and the AXML(the Active XML), so we need to manage them with a dynamic XML labeling scheme. The prime number labeling scheme is a representative scheme which supports dynamic XML documents. It determines the ancestor-descendant relationships between two elements with the feature of prime numbers. When a new element is inserted into the XML document using this scheme, it has an advantage that an assigning the label of new element don't change the label values of existing nodes. But it has to have additional expensive operations and data structure for maintaining the orders of siblings. In this paper, we suggest the order number sharing method and algorithms categorized by the insertion positions of new nodes. They greatly minimize the existing method's sibling order maintenance cost.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.171-183
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• 2020

Capsule endoscopy is one of the increasingly demanded diagnostic methods among patients in recent years because of its ability to observe small intestine difficulties. It is often conducted for 12 to 14 hours, but significant frames constitute only 10% of whole frames. Thus, it has been designed to automatically acquire significant frames through deep learning. For example, studies to track the position of the capsule (stomach, small intestine, etc.) or to extract lesion-related information (polyps, etc.) have been conducted. However, although grouping or labeling the training images according to similar features can improve the performance of a learning model, various attributes (such as degree of wrinkles, presence of valves, etc.) are not considered in conventional approaches. Therefore, we propose a class-labeling method that can be used to design a learning model by constructing a knowledge model focused on main lesions defined in standard terminologies for capsule endoscopy (minimal standard terminology, capsule endoscopy structured terminology). This method enables the designing of a systematic learning model by labeling detailed classes through differentiation of similar characteristics.

• Communications of the Korean Mathematical Society
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• v.32 no.2
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• pp.435-445
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• 2017

Let D be a directed graph with p vertices and q arcs. A vertex out-magic total labeling is a bijection f from $V(D){\cup}A(D){\rightarrow}\{1,2,{\ldots},p+q\}$ with the property that for every $v{\in}V(D)$, $f(v)+\sum_{u{\in}O(v)}f((v,u))=k$, for some constant k. Such a labeling is called a V-super vertex out-magic total labeling (V-SVOMT labeling) if $f(V(D))=\{1,2,3,{\ldots},p\}$. A digraph D is called a V-super vertex out-magic total digraph (V-SVOMT digraph) if D admits a V-SVOMT labeling. In this paper, we provide a method to find the most vital nodes in a network by introducing the above labeling and we study the basic properties of such labelings for digraphs. In particular, we completely solve the problem of finding V-SVOMT labeling of generalized de Bruijn digraphs which are used in the interconnection network topologies.

• Journal of KIISE
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• v.42 no.2
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• pp.220-226
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• 2015

Semantic role labeling (SRL) systems determine the semantic role labels of the arguments of predicates in natural language text. An SRL system usually needs to perform four tasks in sequence: Predicate Identification (PI), Predicate Classification (PC), Argument Identification (AI), and Argument Classification (AC). In this paper, we use the Korean Propbank to develop our Korean semantic role labeling system. We describe our Korean semantic role labeling system that uses sequence labeling with structured Support Vector Machine (SVM). The results of our experiments on the Korean Propbank dataset reveal that our method obtains a 97.13% F1 score on Predicate Identification and Classification (PIC), and a 76.96% F1 score on Argument Identification and Classification (AIC).

• Journal of Family Relations
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• v.23 no.1
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• pp.3-24
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• 2018

Objective: This study examined the change of informal labeling self-respect, depression/anxiety, and aggression of adolescents over time and relationship between the intercept and the growth of the variables. Method: 4-year longitudinal panel data(n=2,699), Korea Youth Panel Survey (KYPS), were analyzed to verify the influence of informal labeling on self-respect, depression/anxiety, and aggression of adolescents. Through latent growth modeling, temporal change of the variables was examined. Results: Analytic results are as follow. First, the initial status of informal labeling had a negative impact on the initial status of self-respect. The slope of informal labeling also had a negative impact on the slope of self-respect. In contrast, the initial status of informal labeling did not have an significant impact on the slope of self-respect. Second, the initial status of informal labeling had a positive impact on the initial status of aggression. The slope of informal labeling had a negative impact on the slope of aggression. In contrast, the initial status of informal labeling did not have an significant impact on the slope of aggression. Third, the initial status of informal labeling had a positive impact on the initial status of depression/anxiety and a negative impact on the slope of depression/anxiety. The slope of informal labeling had a positive impact on the slope of self-respect. Conclusions: The results suggest the importance of informal labeling on self-respect, depression/anxiety, and aggression of adolescents.