• YAKHAK HOEJI
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• v.58 no.2
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• pp.112-124
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• 2014

This study aimed to develop a regulation system for off-label drug use to secure the safe use of marketed drugs. We searched governmental documents for national and global regulating systems of off-label drug uses and a body of academic literature to explore current regulating trends. We included European Union, United Kingdom, United States of America, Australia and Japan, and critically reviewed the regulation of off-label drug use in four issues, which were a regulatory structure, safety control before and after off-label use, and information management. The findings of the present investigation called for several measures in off-label drug uses: enhancing prescribers' self-regulation, providing up-to-date information to prescribers for evidence-based practice and to patients for their informed consent, making evidence with scientific rigor, building an official registering process for off-label use in good quality and extending the role of pharmaceutical industry in pharmacovigilance. At last, we proposed a new system so as to regulate and evaluate off-label drug uses both at national and institutional level. In the new system, we suggested a clear-cut definition for clinical evidence that applicants would submit. We newly introduced an official 'Off-Label Drug Use Report' to evaluate the safety and clinical efficacy of a given off-label drug use. In addition, we developed an algorism of the regulation of off-label drug use within an institution to help set up the culture of evidence-based practices in off-label drug uses.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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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.

• The Korean Journal of Community Living Science
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• v.20 no.1
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• pp.51-59
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• 2009

This study was performed to investigate the effect of food and nutrition label education on the perception and utilization of nutrition labels on food packaging, and to suggest the importance and necessity of food and nutrition label education in the school curriculum. 811 junior-high school students participated in this study and completed self-administered questionnaires regarding general characteristics, and the perception and utilization of nutrition labels. Knowledge of nutrition labels was tested by 13 questions on the questionnaire. Data was analyzed (using SAS package program) based on the educational experience with nutrition labels. Significant differences in each variable were tested using the $X^2$-test and t-test. Students who had learned about the food and nutrition labeling system had more knowledge of nutrition labels and were more likely to check the nutrition label before purchasing food. In addition, students who had been educated about food and nutrition labels in the school curriculum had a significantly higher understanding and recognition of the nutrition label system. These results suggest that education concerning the food and nutrition label system increased the students' interest in nutrition labels and helped them choose healthy food. Therefore, it is necessary to include an education program about food and nutrition labels in the school curriculum to help students use label information and make healthy dietary choices.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.5A
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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.

• Journal of the Korean Home Economics Association
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• v.45 no.2
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• pp.91-103
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• 2007

The purpose of this study is to investigate the types and functions of brand labels on clothing. We surveyed the materials and manufacturing methods for brand labels by visiting the label stores and label manufacturers. 200 pieces of children's wear were surveyed. The label attributes that were studied were: the number of labels, the location of the labels, the attachment system for the labels, the color of the labels, the materials used to make the labels, manufacturing methods, and the size of the labels. From this investigation a brand label was classified into a main label and a point label. The main results were: 1. Materials such as fabrics, nonwovens, leather, suede, rubber, PVC, silicone, and metals are used for brand labels. The manufacturing methods for brand labels are weaving, printing, high frequency, heating, and molding. 2. More than 54% of clothes have more than two brand labels attached. This percentage exceeds the attaching of only one brand label in rate. An inside brand label is located at a certain place. This inside label uses only fabric material reflecting inherent brand color and design. The outside brand label is located at several places with consideration of the clothes design. This label uses various materials, colors, and characters matching with the clothes. As for the size, an inside label is mainly medium in size, whereas an outside label is small. 3. A brand label is classified into a main label (first label) and a point label (second label), which are defined as follows. A main label indicates the brand name and is located inside at a certain place using an inherent brand design and a fabric material. A point label is an additional label to express brand image and is located outside at various places for decoration using various characters and design and materials.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.12B
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• pp.2249-2261
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• 1999

In this paper, we describe the design and implementation of the Label Distribution Protocol (LDP) for Multiprotocol Label Switching System. We review the implementation issues of LDP that is required to make a gigabit switched router, and propose a detail design of it. We present the data structures and procedures for the LDP as a result, which are based on IETF standard. We present design issues for applying this to carrier class products. The implemented protocol could afford 40,000 entries of the IP routing table that is required for deploying this system to commercialized data network. Furthermore this system implemented using the standard API of Unix, as a result, it has portability. By implementing LDP based on the international standard and these implementation issues, we expect that the implemented LDP will be interoperable with other commercialized products. We prove the validity of the design of the LDP through prototyping, and also verify the prototype with the specification using the process algebra and the performance analysis.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2009.05a
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• pp.290-293
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• 2009

This paper presents the development of a disposable label-free biosensor for bio molecular interaction analysis. Label-free biosensors have advantages of high performance in sensitivity and short detection time. Among various label-free systems, we introduced biosensor with nano grating structures based on white light source and spectrometer. And to develop high efficiency label-free biosensor, we suggest replicating processes satisfying required specification. We also report a system set-up to evaluate the characteristics of phenomenon shown in this biosensor system.

• Proceedings of the Korea Society of Design Studies Conference
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• 2002.05b
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• pp.94-95
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• 2002

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4092-4107
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• 2015

We propose a background subtraction method for moving cameras based on trajectory classification, image segmentation and label inference. In the trajectory classification process, PCA-based outlier detection strategy is used to remove the outliers in the foreground trajectories. Combining optical flow trajectory with watershed algorithm, we propose a trajectory-controlled watershed segmentation algorithm which effectively improves the edge-preserving performance and prevents the over-smooth problem. Finally, label inference based on Markov Random field is conducted for labeling the unlabeled pixels. Experimental results on the motionseg database demonstrate the promising performance of the proposed approach compared with other competing methods.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.2
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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.