• Title/Summary/Keyword: 표지

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Selection of Well Labelled Insulin Fractions for Radioimmunoassay Use

  • Awh, Ok-Doo;Kim, Jae-Rok
    • Nuclear Engineering and Technology
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    • v.12 no.2
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    • pp.121-126
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    • 1980
  • Selection methods of well labelled insulin fractions based on two different criteria were compared to establish an efficient low level RIA of insulin and to elucidate the correlation between the immunoreactivity and the charcoal-adsorptivity of the radioiodine labelled insulin. The results indicated that the selection of well labelled insulin fractions by means of a charcoal-adsorption test is inappropriate. Generally, the distribution of radioactivity antibody-bindability, and charcoal-adsorptivity of the labelled insulin was not consistent with each other. Thus. the selection should be carried out for every labelling batch to get the utmost assay reliability by antibody-bindability but not by charcoal-adsorptivity. By using the well selected labelled insulin fractions based on antibody-binding, a correct assay for a reference serum was possible, and by extending the incubation time upto 96 hrs, a sharp dose response curve could be obtained even in the range of below 5 $\mu$U/ml standard insulin doses.

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Localization of Mobile Robot using Active Landmark (능동형 인공표지를 이용한 이동로봇의 위치 인식)

  • Lee, Jae-Kyung;Park, Young-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.1
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    • pp.64-69
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    • 2008
  • In order that a mobile robot can perform tasks in unknown environment localization of a mobile robot is essential task. In this paper, a new localization method for a mobile robot using an active landmark is proposed, which is very simple to implement. The landmark has a LED which can be controlled by a mobile robot via wireless communication. CCD camera gets two images of the landmark, one of which is with LED off and the other is with LED on. Because the landmark can be detected by using the difference image of the two images, detection time can be minimized. By using the characteristic points of the landmark, localization can be performed simply. A series of experiments are performed to evaluate the proposed method and the experimental results show that the proposed method can be applicable to the localization of a mobile robot.

Annotation Tool for Construction Korean PropBank and Sejong Semantic Tagged Corpus (한국어 PropBank 및 세종 의미 표지 부착 말뭉치 구축을 위한 도구)

  • Han, Dae-Yong;Choi, Han-Gil;Lee, Jung-Kuk;Kim, Jong-Dae;Park, Chan-Young;Song, Hye-Jung;Kim, Yu-Seop
    • Annual Conference on Human and Language Technology
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    • 2012.10a
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    • pp.35-39
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    • 2012
  • 의미역 결정에 있어 의미 표지 부착 말뭉치는 필수적이지만 한국어 의미 표지 부착 말뭉치는 영어나 중국어와 같은 언어에 비하여 구축이 미비한 상황이다. 본 논문에서는 한국어 의미 분석을 위한 한국어 Proposition Bank(이하 PropBank)와 세종 의미 표지 부착 말뭉치의 구축을 위한 소프트웨어 도구를 개발하였다. 본 논문에서 구현한 도구는 문장 성분의 의존관계를 이용하여 주어진 술어에 대한 논항을 찾아주고, PropBank 프레임 파일과 세종 용언 격틀 사전을 활용하여 사용자가 능률적으로 한국어 PropBank와 세종 의미 표지 부착 말뭉치를 구축할 수 있도록 하였다.

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An Vision System for Traffic sign Recognition (교통표지판 인식을 위한 비젼시스템)

  • 남기환;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.2
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    • pp.471-476
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    • 2004
  • This paper presents an active vision system for on-line traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lends, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a large size in the image. The recognition algorithm is designed by intensively using built in functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road experiments show the feasibility of the system.

A Recognition of Traffic Safety Signs Using Japanese Puzzle (Japanese Puzzle을 이용한 교통안전 표지판 인식)

  • Sohn, Young-Sun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.416-421
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    • 2008
  • This paper realizes a system that recognizes traffic safety signs by applying the principle used for game in reverse. The game used for this paper is one that expresses the shape of temporary objects intended by the maker when the maker sees the numerical image provided on (x, y) coordinates and then expresses it on the mesh. After separating the traffic safety sign image from the input image, the system is realized by outputting the content of the sign into letters by recognizing the forms and colors constituting the sign using the puzzle game above. Our system has fast process time and better rate of recognition than the existing system with black-and-white image processing and recognition without any penciling progress.

해양 전파표지 정보교환 표준 개발 연구

  • Han, Yeong-Hun;O, Se-Ung;Kim, Hye-Jin;Seo, Gi-Yeol;Park, Sang-Hyeon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.197-199
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    • 2019
  • 4차 산업혁명 시대에서 정보는 점점 전자화되고 전자화된 정보의 중요성은 더욱 높아져 가고 있다. 해양분야에서도 이네비게이션을 통하여 전자화된 정보들을 생산하고 효율적으로 관리하기 위해 노력하고 있다. 국제항로표지협회(IALA)는 항로표지와 관련된 전자정보들의 효율적인 관리와 상호교환을 위한 국제 공통의 규격을 S-200으로 제안하고 개발 중에 있다. S-200 중 항로표지와 관련된 정보교환 표준은 S-201로 지정하여 개발 중에 있으며, 해양 PNT 정보와 관련된 전파표지는 S-240(DGNSS 기준국 정보)과 S-245, 246, 247(eLoran 관련 정보)로 지정하여 개발 중에 있다. 본 논문에서는 IALA 주도로 개발 중인 국제 해양 PNT와 관련된 전파표지의 정보교환 표준 현황에 대해 소개한다. 그리고 연구팀에서 제안한 eLoran 관련 정보교환 표준의 개발 결과와 맵 기반 S-200 테스트베드 적용 시험을 통한 검증 결과를 제시한다.

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Recognition of Classification of Traffic Sign Images Using CNN (CNN을 활용한 교통 표지판 이미지 분류 인식)

  • MunJeong Kim;Sinrock Chae;EunKi Hong;Min Hwangbo;Yoo-Jin Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.317-318
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    • 2023
  • 본 논문에서는 CNN(Convolutional Neural Network)을 활용하여 자율주행 자동차가 각 국가별 교통 규칙 및 도로 표시를 이해하고 정확한 주행을 할 수 있도록, Deep Neural Network 시스템을 설계하고 구현하는 방법을 제안한다. 연구 방법으로는 한국도로교통공단(koroad)에서 제공하는 교통안전표지 일람표 이미지를 학습하여, 차량이 자율주행을 하기 위해 요구되는 표지판을 인식할 수 있도록 하였다. 본 논문에서 설계한 학습 시스템으로 도로교통표지판의 인식에 성공했으며, 이를 통해 자율주행차량이 표지판을 인식할 수 있으며, 시각장애인 및 고령운전자를 위한 지원 역시 가능하다고 사료된다.

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A study on the factors influencing the data collection performance of smart buoys (스마트 항로표지의 데이터 수집 성능에 영향을 미치는 요인에 관한 연구)

  • Ho-Joon Kim;Min-Kyu Kim;Nam-Yong Lee;Chul-Soo Kim;Sangmun Shin;Se-woong Oh;Jin-Hong Yang
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.60-62
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    • 2021
  • 항로표지는 해상상황 정보를 수집하고 선박들의 항해에 안전을 도모하기 위해 설치 및 운용되고 있다. 관련해 개별 지방청에서 운영되는 데이터를 빅데이터 형태로 활용하고자 하는 경우 수집된 데이터의 품질에 대한 평가가 이루어져야 한다. 본 논문에서는 수집된 항로표지 데이터의 누락 정보를 중심으로 데이터 수집에 있어 장애 생성의 주된 원인을 찾고자 하였다. 수집된 데이터의 분석 결과 기상악화와 표지의 전압이 하락한 날에 데이터 결측 발생률이 톺음을 확인할 수 있었다. 이를 통해 기상 상황, 표지의 전압 상태 그리고 수집된 데이터 개수의 비교를 통해 기상악화가 영향을 미쳤을 수 있음을 확인하였다.

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Clinical Significance of Tumor Markers in Gastric Cancer Patients after Curative Resection (근치적 절제술을 시행한 위암 환자에서 종양 표지자의 임상적 의미)

  • Kim, Sa-Young;Ha, Tae-Kyung;Kwon, Sung-Joon
    • Journal of Gastric Cancer
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    • v.9 no.3
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    • pp.136-142
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    • 2009
  • Purpose: This clinical study was conducted to evaluate the predictive value of tumor markers for recurrence and the clinical significance of false positive findings after curative gastrectomy in patients with gastric cancer. Materials and Methods: Two hundred ninety patients with gastric cancer who underwent gastrectomy with curative intent were evaluated retrospectively. We analyzed the correlations between changes in tumor markers (CEA, CA 19-9, AFP, and CA-125) and clinicopathologic data, and basis for changes in tumor markers without recurrence during the follow-up period. Results: The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of tumor markers for recurrence were 75.0%, 64.6%, 23.1%, 94.8%, and 65.9% respectively. Among 36 patients with recurrences, 10 patients (27.8%) had elevated tumor markers prior to positive findings on imaging studies, while 13 patients (36.1%) had concomitant elevation in tumor markers. At least 1 of the 4 tumor markers increased in 90 of 290 patients during the follow-up period; however, there was no evidence of tumor recurrence. Twenty patients had persistently elevated tumor markers, while the tumor marker levels in 70 patients returned to normal level within $9.08\pm7.2$ months. The patients with pulmonary disease, hepatobiliary disease, diabetes, hypertension, or herbal medication users had elevated tumor markers more frequently than patients without disease (P<0.001). Conclusion: Although detecting recurrence of gastric cancer with tumor markers may be useful, false positive findings of tumor markers are common, so surgeons should consider other chronic benign diseases and medical conditions when tumor markers increase without evidence of recurrence.

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A Study to Develop an Efficiency Analysis Model to Aids to Navigation (ANEffic) : Manned Lighthouses (항로표지시설 효용성분석 모델(ANEffic) 개발에 관한 연구 - 유인등대에 적용하여)

  • Park, Hye-Ri;Gug, Seung-Gi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.6
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    • pp.647-653
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    • 2016
  • There are no ex-port evaluations for the propriety and efficiency of AtoNs considering risk elements and environmental changes after the opening of a port. It is necessary to develop objective indicators and evaluation models to fill this gap. This study establishes an efficiency analysis model for Aids to Navigation (ANEffic) focusing on manned lighthouse, which include 20 function indices. After running a function assessment, an Analytic Hierarchy Process (AHP) and Likert scale are used to address port operations, national policies and expert opinions. As the result of the assessment, Yeongdo, Gageodo, Geomundo and Jukbyun Lighthouses are highly regarded in the propriety and efficiency of AtoN. And Uleungdo, Gasado, Songdaemal and Ulgi Lighthouses need to review detailed evaluations. The ANEffic developed should be utilized as basic tool to collect data for efficient management and to re-arrange the policy decisions regarding AtoNs as appropriate.