• 유통과학연구
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• 제17권6호
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• pp.57-63
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• 2019

Purpose - This research is to review the state of standard labeling compliance and identify the factors that are conducive to compliance with the Labeling Standards of the Health Functional Foods Act in internet distribution. Research design, data, and methodology - We checked 9 labels including product name, expiration date, manufacturing date, raw material, ingredient, operative dose, nutritional information, daily intake, and functional effect which are based on Labeling Standards of the Act from 100 health functional foods in the internet shopping malls. These 9 structure & function claims were compared using a Chi-square test. Results - There was a statistically significant difference in the use of standard labeling between domestic product and imported products (p<.001). The related strength between these two variables showed a moderate effect size. Also, there was a statistically significant difference between accredited advertising/unaccredited advertising distinction and use of standard labeling (p<.001). The related strength between these two variables showed a moderate effect size. Conclusions - The Labeling Standards of the Act were not followed and found to be related to imports or unauthorized advertising in internet distribution. The information displayed according to the Labeling Standards was only about 2 on the average, so many labels have been posted unreadably without arrangement.

• 한국결정성장학회지
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• 제29권2호
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• pp.71-76
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• 2019

자동화 시스템이 일반화되면서 제품 관리를 위한 라벨지(label)의 수요는 증가하고 있으며, 다양한 환경에서 사용할 수 있는 기능성 라벨지 개발이 빠르게 진행되고 있다. 인쇄회로기판의 경우 제작 과정에서 $300^{\circ}C$ 이상의 리플로우 솔더링 공정과 여러 차례의 세정 공정을 거치기 때문에 열적 화학적 안정성을 갖는 바코드 라벨지(barcode label)가 사용되고 있으나 황변(yellowing) 현상 발생으로 인한 인식률 저하의 문제가 발생하고 있다. 본 연구에서는 실리카 무기 바인더와 이산화티탄 백색안료를 사용한 복합 코팅층을 개발하고, 열적 화학적 안정성을 확보한 기능성 라벨지 연구를 진행하였다. 졸-겔 공정으로 제조한 실리카 무기 바인더는 기재(substrate)로 사용하는 폴리이미드 필름과 우수한 밀착성과 내마모성 특성을 갖는 것으로 확인하였다. 또한 이산화티탄 백색안료와 혼합하여 폴리이미드 필름에 백색의 코팅층을 제조할 수 있었으며, 복합 코팅층은 $400^{\circ}C$ 이상의 고온에서도 우수한 백색도와 광택도를 특성을 유지하는 것을 알 수 있었다. 또한 산성(pH 1.6)과 염기성(pH 13.6) 세정제를 통한 화학 처리 후에도 백색도와 광택도 변화가 일어나지 않는 우수한 화학적 안정성을 확인하였다.

• 대한가정학회지
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• 제41권3호
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• pp.45-56
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• 2003

The purpose of this study was to compare the pantyhose labels of domestic products which contain fiber content, size spec., care symbol, performance properties with those of foreign-made ones, in order to propose a desirable model of label description for the domestic products. The results were as follows: 1) There were differences in the fiber content and fiber mixture ratio of pantyhose on the label according to the countries. The pantyhoses made in Korea and Japan were described only fiber name on the label, while the pantyhoses made in U.S.A., Taiwan, and England were described fiber name and percent of fiber mixture ratio in detail on the label. 2) Most of the pantyhose size produced and sold in Korea were same Free size, but the products from other countries (U.S.A., England, Japan, Taiwan) were sold in various sizes. 3) There were differences, according to the countries, in the care symbol and related explanation of pantyhose on the label. The pantyhoses made in Korea and Taiwan were described care symbol only on the label, while the pantyhoses made in other countries were described additional explanation for care as well as care symbol on the label. 4) It was known that, unlike Korea, other countries were developing and marketing various types of functional pantyhose. For example, U.S.A. and England were focusing on appearance and comfort aspects of pantyhose, while Japan and Taiwan were focusing to develop functional pantyhose like anti-bacterial and anti-ultraviolet ray pantyhose.

• Journal of Communications and Networks
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• 제13권6호
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• pp.602-611
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• 2011

The inter-domain routing scalability issue is a major challenge facing the Internet. Recent wide deployments of multihoming and traffic engineering urge for solutions to this issue. So far, tunnel-based proposals and compact routing schemes have been suggested. An implicit assumption in the routing community is that structured address labels are crucial for routing scalability. This paper first systematically examines the properties of identifiers and address labels and their functional differences. It develops a simple Internet routing model and shows that a binary relation T defined on the address label set A determines the cardinality of the compact label set L. Furthermore, it is shown that routing schemes based on flat address labels are not scalable. This implies that routing scalability and routing stability are inherently related and must be considered together when a routing scheme is evaluated. Furthermore, a metric is defined to measure the efficiency of the address label coding. Simulations show that given a 3000-autonomous system (AS) topology, the required length of address labels in compact routing schemes is only 9.12 bits while the required length is 10.64 bits for the Internet protocol (IP) upper bound case. Simulations also show that the ${\alpha}$ values of the compact routing and IP routing schemes are 0.80 and 0.95, respectively, for a 3000-AS topology. This indicates that a compact routing scheme with necessary routing stability is desirable. It is also seen that using provider allocated IP addresses in multihomed stub ASs does not significantly reduce the global routing size of an IP routing system.

• Journal of Nutrition and Health
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• 제40권6호
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• pp.558-565
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• 2007

On the basis of the increasing interest for the selection of beverages, this study aimed to evaluate the contents of nutrients and health ${\cdot}$ functional elements in the beverages. Total 161 beverages that bear nutrition lable (NL) as nutrition table and health ${\cdot}$ functional elements information were collected and classified to 8 groups. The evaluated nutrients that are obligatory for NL in Korea were total calorie, carbohydrate, protein, fat, and sodium. Presented values showed that milk & yogurt and soy milk are the most wholesome beverages while the total caloric contents also were higher among 8 groups. Sodium contents in soy milk were higher than any other groups. The caloric contents of other beverage groups come mainly from carbohydrate presumably simple sugar. The caloric content of sports drinks is the lowest but the sodium content is variable among products showing the range of 0 - 100 mg/100 ml. Nonobligatory nutrients for NL frequently expressed are Ca, Fe, vitamin C, folate, and dietary fiber. Their content per serving size does not exceed the tolerable upper intake level, however, habitual multiple intakes of certain product require attention for the prevention of overintakes. Many health ${\cdot}$ functional elements as catechin, carnitine, polyphenol, and nucleic acids etc were listed in NL without presenting the content and their functions appear to be exaggerated compared to the known scientific evidence.

• 대한임베디드공학회논문지
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• 제19권2호
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• pp.91-99
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• 2024

Collision avoidance system is important to improve the robustness and functional safety of autonomous vehicles. This paper proposes an object-level distance estimation method to develop a collision avoidance system, and it is applied to golfcarts utilized in country club environments. To improve the detection accuracy, we continually trained an object detection model based on pseudo labels generated by a pre-trained detector. Moreover, we propose object-aware depth estimation (OADE) method which trains a depth model focusing on object regions. In the OADE algorithm, we generated dense depth information for object regions by utilizing detection results and sparse LiDAR points, and it is referred to as object-aware LiDAR projection (OALP). By using the OALP maps, a depth estimation model was trained by backpropagating more gradients of the loss on object regions. Experiments were conducted on our custom dataset, which was collected for the travel distance of 22 km on 54 holes in three country clubs under various weather conditions. The precision and recall rate were respectively improved from 70.5% and 49.1% to 95.3% and 92.1% after the continual learning with pseudo labels. Moreover, the OADE algorithm reduces the absolute relative error from 4.76% to 4.27% for estimating distances to obstacles.

• 영어어문교육
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• 제17권2호
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• pp.39-58
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• 2011

This study highlights some very important future directions for the revision of language forms in the 2007 Korean English Curriculum, expected to be made public in the summer of 2011. A critical review of the 2007 National English Curriculum shows that language forms exemplified in that curriculum are not well-chosen or well-sequenced from the viewpoint of grammar selection and gradation, and that no mention of structural labels or grammatical terminologies makes it hard for teachers to recognize their formal properties. To fulfill the original purpose that languages should be listed in the curriculum so that functional-notional syllabuses can be complemented by form-focused instruction, the study presents partial inventories of grammatical items with well-chosen and well-sequenced examples. Minimal descriptions are given to these inventories that are based on general notions or well-known grammatical notions. Occasional suggestions are also made for which language forms should be taught in which schools.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 1994년도 The Proceedings of the 1994 Kyoto Conference
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• pp.63-72
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• 1994

Dependency Grammar has been used by Iinguists as the basis of the syntactic components of their grammar formalisms. It has also been used in natural langauge parsing. In China, attempts have been made to use this grammar formalism to parse Chinese sentences using corpus based techniques. This paper reviews the properties of Dependency Grammar as embodied in four axioms for the well-formedness conditions for dependency structures. It is shown that allowing mul tiple governors as done by some followers of this formalism is unnecessary. The practice of augmenting Dependency Grammar with functional labels is discussed in the light of building functional structures when the sentence is parsed. This will also facilitate semantic interpretion.retion.

• 한국지구과학회지
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• 제33권1호
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• pp.94-109
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• 2012

본 연구는 국내 주요 과학관 및 자연사 박물관의 지구과학 관련 전시 라벨 텍스트의 서술 특징을 분석하고자 하였다. 이를 위해, 국립 중앙 과학관과 서대문 자연사 박물관에서 자료를 수집하였고, 체계기능언어학을 일부 적용한 분석틀을 사용하였다. 연구 결과, 라벨들은 1) 대부분 평서형 문장, 2) 적절한 과학적 정보의 양, 3) '사실' 위주의 정보 제시, 4) 모두 논리적 설명 장르로 구성되어 있었다. 특히, 국립 중앙 과학관의 라벨들은 5) 전체 어휘 중 과학 용어의 비율이 높고 6) 주어의 절반 이상이 생략되거나 긴 명사화 형태였다. 결론적으로, 분석 대상 라벨들은 전시물과 관람객들 사이에서 과학 문화에 관한 양 방향적 의사소통을 이끌기보다 일 방향적인 의사소통을 일으킬 가능성이 높은 것으로 해석할 수 있었다. 이를 토대로, 과학 문화와 관람객의 일상 문화 사이의 열린 구조를 만들어 보다 교육적으로 유의미한 의사소통을 가능하게 하는 라벨 텍스트의 서술 특징들을 제안하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권3호
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• pp.186-199
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• 2013

We pose pattern classification as a density estimation problem where we consider mixtures of generative models under partially labeled data setups. Unlike traditional approaches that estimate density everywhere in data space, we focus on the density along the decision boundary that can yield more discriminative models with superior classification performance. We extend our earlier work on the recursive estimation method for discriminative mixture models to semi-supervised learning setups where some of the data points lack class labels. Our model exploits the mixture structure in the functional gradient framework: it searches for the base mixture component model in a greedy fashion, maximizing the conditional class likelihoods for the labeled data and at the same time minimizing the uncertainty of class label prediction for unlabeled data points. The objective can be effectively imposed as individual mixture component learning on weighted data, hence our mixture learning typically becomes highly efficient for popular base generative models like Gaussians or hidden Markov models. Moreover, apart from the expectation-maximization algorithm, the proposed recursive estimation has several advantages including the lack of need for a pre-determined mixture order and robustness to the choice of initial parameters. We demonstrate the benefits of the proposed approach on a comprehensive set of evaluations consisting of diverse time-series classification problems in semi-supervised scenarios.