• 감성과학
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• 제18권1호
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• pp.79-94
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• 2015

본 연구는 패션산업에서 상품라벨과 패션용어의 형태, 즉 한글과 외래어, 외국어 등 표기 종류에 따라 소비자의 감성이 어떻게 다르게 나타나는지 분석한 것이다. 20대 소비자 200명을 대상으로 패션아이템 1종에 대한 라벨 1종과 3종 패션용어에 대하여 설문조사를 실시하였는데 외래어 영어표기, 외래어 한글표기, 순한글표기 등 3가지 형태에 대해 15개 형용사로 구성된 감성 척도를 이용하여 감성을 측정하였고 또한 선호도와 상품에 대한 예상가격을 질문하였다. 결과로는 소비자들은 라벨에서 한글보다 외래어를 선호하였으며 외래어 라벨 중에서도 한글표기보다 영어표기를 선호하였다. 외래어 라벨을 볼 때 소비자들은 패션 제품이 더 '긍정적이고 세련되고 화려하며 우아하다'고 평가하고 있었으며 또 상품의 가격을 더 높은 것으로 예상하였다. 즉 외래어 영어표기 라벨이 모든 평가에서 가장 높은 점수를 받았고, 외래어 한글표기가 다음 순이었으며, 순한글 라벨은 가장 낮은 평가를 받았다. 소비자들은 자신의 유행 몰입도에 따라서 감성 평가를 부분적으로 다르게 하고 있는 것으로 나타났다. 즉 유행 몰입도가 높은 소비자들은 낮은 소비자보다 외래어를 볼때 '세련된 우아한 화려한' 등에 대해서 더 높게 평가하고 있었다. 또한 유행몰입도가 높은 소비자들은 낮은 소비자보다 순한글표기 라벨을 볼 때 '친근한, 안정된' 등에 대해서 더 높게 또는 외래어와 유사하게 평가하고 있었다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제22권2호
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• pp.67-73
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• 2011

The purpose of licensing system is to ensure that the medicines are examined for safety, efficacy and quality. Nevertheless, off-label or unlicensed drug usages in pediatric practice is widespread in Korea and worldwide. Psychotropics are one of the most commonly used off-label or unlicensed drugs. The most valid approach to face this dilemma will be to have more evidences from pediatric pharmacological studies. Clinicians, in addition, need to monitor closely their off-label or unlicensed drug prescriptions to minimize the trial and error in practice. Researchers should publish their experiences and provide guidelines. Pharmaceutical companies, regulatory authorities, and consumer organizations should endeavor altogether for the children's right to get safe and efficacious drugs as adults do. Here, the definition as well as the current status of off-label and unlicensed drug prescriptions will be introduced. Critical issues regarding the off label drugs are discussed. In addition, I will describe the present condition as to the off-label and unlicensed drugs in child and adolescent psychiatry and the authorization process of off-label drug prescription in Korea. Lastly, direction we should like to take in this field will be mentioned.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권5호
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• pp.2523-2538
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• 2017

In most of the existing literature, the definition of the class label has the following characteristics. First, the class label of the samples from the same object has an absolutely fixed value. Second, the difference between class labels of the samples from different objects should be maximized. However, the appearance of a face varies greatly due to the variations of the illumination, pose, and expression. Therefore, the previous definition of class label is not quite reasonable. Inspired by discriminative least squares regression algorithm (DLSR), a noisy label based discriminative least squares regression algorithm (NLDLSR) is presented in this paper. In our algorithm, the maximization difference between the class labels of the samples from different objects should be satisfied. Meanwhile, the class label of the different samples from the same object is allowed to have small difference, which is consistent with the fact that the different samples from the same object have some differences. In addition, the proposed NLDLSR is expanded to the kernel space, and we further propose a novel kernel noisy label based discriminative least squares regression algorithm (KNLDLSR). A large number of experiments show that our proposed algorithms can achieve very good performance.

• 한국통신학회논문지
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• 제26권5A호
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• pp.889-901
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• 2001

본 논문에서 Multiprotocol Label Switching 시스템을 위한 Label Distribution Protocol의 개발과 분석에 관해서 기술한다. 먼저 Gigabit Switched Router를 만들기 위해서, 상용화시 Carrier Class 제품에 적용하기 위한 LDP의 구현시 고려해야 될 사항에 대해 살피고, 상세 설계를 제안한다. IETF 표준에 의거한 LDP의 구현을 위한 상세 설계는 프로토콜 상태기계의 유도 트리와 프로세스 대수를 사용한 형식적 명세를 사용하여 제시한다. 본 논문에서는 제시된 유도트리와 프로세스 대수를 사용한 프로토콜 동작의 분석을 통해, 구현된 LDP의 상호 연동성과 완전성, 생존성, 도달성, 안전성을 검증한다. 또한 이를 사용하여 구현된 LDP가 기존 상용 제품들과의 연동성과 그 동작의 신뢰성을 확보할 것을 기대한다. 결과적으로 구현된 LDP의 프로토콜 동작들의 검증을 제공한다.

• The Journal of Asian Finance, Economics and Business
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• 제6권3호
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• pp.193-203
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• 2019

The issue of health risks from consuming unhealthy product is an important issue that is happening right now. Both developed and developing countries are already aware of the need for attention to the health-risk products. One tool that is believed to be able to change the consumption behavior of the health-risk products is the use of warning label on product packaging. As a persuasive act, both visual and textual warning label are believed to be able to change people's consumption behavior. In addition to the labels that contain health hazards, this research also uses social consequence contents. The main targets of such unhealthy product marketing are children and adolescents. Correspondingly, this study targets the age groups of kids and tweens. The method used in this research is experiment, involving 180 participants from two age groups namely kids and tweens. As a result, the study found that the influence of warning label on the age of tweens is greater in the age of the children. Meanwhile, the use of visual and textual warning label using social consequences contents, proved to be effective at the age of tweens. These results are useful for enrich social marketing subjects, especially within warning label research.

• 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.

• 대한임베디드공학회논문지
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• 제17권2호
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• pp.77-83
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• 2022

In this paper, the two-stage object detection approach is proposed to implement a deep learning-based label inspection system on edge computing environments. Since the label printed on the products during the production process contains important information related to the product, it is significantly to check the label information is correct. The proposed system uses the lightweight deep learning model that able to employ in the low-performance edge computing devices, and the two-stage object detection approach is applied to compensate for the low accuracy relatively. The proposed Two-Stage object detection approach consists of two object detection networks, Label Area Detection Network and Character Detection Network. Label Area Detection Network finds the label area in the product image, and Character Detection Network detects the words in the label area. Using this approach, we can detect characters precise even with a lightweight deep learning models. The SF-YOLO model applied in the proposed system is the YOLO-based lightweight object detection network designed for edge computing devices. This model showed up to 2 times faster processing time and a considerable improvement in accuracy, compared to other YOLO-based lightweight models such as YOLOv3-tiny and YOLOv4-tiny. Also since the amount of computation is low, it can be easily applied in edge computing environments.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.170-176
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• 2022

Given the critical importance of enhancing the level of ESG practices, the current research examines the impact of credit card users' pro-environmental characteristics (i.e., environmental self-accountability, eco-label involvement) on their satisfaction with credit card benefits related to green life. That is, this research investigates whether consumers' satisfaction with green credit card benefits varies depending on their environmental self-accountability and eco-label involvement. Specifically, we predict that (1) for consumers with high (vs. low) environmental self-accountability, their satisfaction with credit card benefits related to green life will be higher (hypothesis 1); and (2) when consumers have high (vs. low) eco-label involvement, they will be more likely to be satisfied with credit card benefits related to green life (hypothesis 2). An online survey (N = 293) was conducted to test the two hypotheses. In support of the hypotheses, the results indicate that (1) respondents who had high (vs. low) environmental self-accountability were more satisfied with credit card benefits related to green life, and (2) respondents with high eco-label involvement, as compared to those with low eco-label involvement, reported greater satisfaction with credit card benefits related to green life. We suggest an important insight into how credit card companies approaching ESG issues can increase their consumers' satisfaction with green credit card benefits, considering consumers' individual characteristics such as environmental self-accountability and eco-label involvement.

• International Journal of Contents
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• 제10권4호
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• pp.1-10
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• 2014

In this paper, we propose a method to build an accurate initial trimap for the GrabCut algorithm without the need for human interaction. First, we identify a rough candidate for the label region of a bottle by applying a saliency map to find a salient area from the image. Then, the Hough Transformation method is used to detect the left and right borders of the label region, and the k-means algorithm is used to localize the upper and lower borders of the label of the bottle. These four borders are used to build an initial trimap for the GrabCut method. Finally, GrabCut segments accurate regions for the label. The experimental results for 130 wine bottle images demonstrated that the saliency map extracted a rough label region with an accuracy of 97.69% while also removing the complex background. The Hough transform and projection method accurately drew the outline of the label from the saliency area, and then the outline was used to build an initial trimap for GrabCut. Finally, the GrabCut algorithm successfully segmented the bottle label with an average accuracy of 92.31%. Therefore, we believe that our method is suitable for product label recognition systems that automatically segment product labels. Although our method achieved encouraging results, it has some limitations in that unreliable results are produced under conditions with varying illumination and reflections. Therefore, we are in the process of developing preprocessing algorithms to improve the proposed method to take into account variations in illumination and reflections.

• 대한전자공학회논문지TC
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• 제42권10호
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• pp.9-16
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• 2005

최근 인터넷 사용자 수의 증가에 따른 백본망의 트레픽 증가와 다양한 어플리케이션의 등장으로 많은 대역폭을 요구 하게 되었고 그에 따른 고속의 백본 네트워크가 필요하게 되었다. 이러한 요구를 수용하기 위한 차세대 인터넷으로 고려되고 있는 MPLS(MultiProtocol Label Switching)와 사용자 서비스를 위해 네트워크 자원을 효율적으로 사용하기 위한 멀티캐스트 기술이 요구된다. 그러나 기존의 IP Multicast 기술은 품질 보장 서비스를 지원하는데 한계가 있기 때문에, 고품질 멀티 캐스트 서비스를 위하여 QoS및 Traffic Engineering을 보장하는 MPLS 기술을 확장하는 노력이 이루어지고 있다. 그리고 MPLS 환경에서 멀티캐스트 서비스 제공은 MPLS 레이블 수의 부족과 멀티캐스트 고유의 속성인 확장성 문제가 발생하게된다. 이를 위한 개선책으로 LDP에 멀티캐스트 필드를 추가하여 중간노드에서 동일한 LSP 멀티캐스트 패킷에 동일한 레이블을 할당하는 Label Aggregation 알고리즘을 제안하였다.