• 제목/요약/키워드: License system

검색결과 588건 처리시간 0.028초

철도차량 운전면허시험을 위한 시뮬레이터 요구 성능에 관한 연구 (A Study on Using Simulator Technology for Train Driver Licence Test)

  • 엄기태;최양규;엄태화;황종규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 추계학술대회 논문집
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    • pp.172-178
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    • 2007
  • The purpose of Railroad Vehicles License Management in accordance with the Railroad Safety Law is to improve the quality of railroad safety. And the train simulators come into use for training of train operation and testing to issue Railroad Vehicles License. So, It is very important that the simulators for the Railroad Vehicles License Test require to work correctly, to measure driver's operation quality in numerical system and to ensure the justice of license test. In fact, nobody can guarantee that the simulators are feasible performance to use in license test. The simulator for train driver license test can be used effectively for studying of needed performance and quality to test new driver's skill. This study hopefully provides the base for improving the quality of the simulator for train driver's license test and contributes furthermore to improve the simulator development technology and railroad safety.

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Segmentation and Recognition of Korean Vehicle License Plate Characters Based on the Global Threshold Method and the Cross-Correlation Matching Algorithm

  • Sarker, Md. Mostafa Kamal;Song, Moon Kyou
    • Journal of Information Processing Systems
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    • 제12권4호
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    • pp.661-680
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    • 2016
  • The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

한국 민간경호 ${\cdot}$ 경비관련 자격제도 도입방안 (A Study on the Plan for Professional License of the Private Security in Korea)

  • 박준석;박대우
    • 시큐리티연구
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    • 제7호
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    • pp.191-212
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    • 2004
  • According to current record of private security in Korea, more than 107,963 private security guards are employed by 2,051 security guard association. However, it is obvious that there is lack of any kinds of professional license. To ensure the profession of Private Security industry and at the same time to improve the quality of private guard duty, it is necessary to introduce professional license system which is specialized and developed. The kinds of license anticipated are security guards services, armored car services, alarm services, proprietary security services, special guards services, terror, security consultants services, and private investigators. To settle those license system, there should be not only exertion of academic society but also administrative support of government and research of legal office th arrange legal and official structure.

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딥러닝 신경망을 이용한 문자 및 단어 단위의 영문 차량 번호판 인식 (Character Level and Word Level English License Plate Recognition Using Deep-learning Neural Networks)

  • 김진호
    • 디지털산업정보학회논문지
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    • 제16권4호
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    • pp.19-28
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    • 2020
  • Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

사전정보를 이용한 차량번호판 영역의 분리 (Isolating vehicle license plate area using the known information)

  • 문기주;신영석;최효돈
    • 경영과학
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    • 제13권2호
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    • pp.1-11
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    • 1996
  • Two different methods to extract the license plate area of a vehicle have been used for automatic recognition purposes. One method is with a color vision system and the other is with an edge detecting operator. The system with color vision has some problems if the colors of license plate and vehicle's body are similar. The various plate colors in Korea also drops the system performance. The edge detecting operator also has a problem for a real time processing since it performs on all pixels of the scene. In this paper a possible method using gray level vision system and available pre-known information of license plates is suggested. The suggested procedure searches the lower boundary of the plate by counting high contrast points between one and near pixel from the bottom line of the scene. It finds the upper boundary from the bottom line by adding number plate height after finding the lower boundary. The left and right boundaries are found by similar processes.

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방사선사법 제정 위한 미국 전문 방사선사 면허제도 고찰 (Study on Advanced Radiologic Technologist License System in the United States for Enacting Radiologic Technologist Act)

  • 성열훈
    • 대한방사선기술학회지:방사선기술과학
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    • 제44권5호
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    • pp.555-563
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    • 2021
  • The rapidly developing medical environment has required the expertise and social responsibility of radiologic technologists and needs to be enacted to support them. Therefore, the purpose of this study tried to present the basis for enacting advanced radiologic technologists act in Korea by studying the United State's license system to reflect the changes of the times. As a result, we were suggested the following conclusions. First, granting the legal status of advanced radiologic technologists is a global trend. Second, in order to legislate the advanced radiologic technologists license system, the formation of an industry-government-academic council should be preceded. Last, we could be improved public health and medical care and advance laws and systems by the legalization of radiologic technologist act.

일본 민간경비원의 자격 및 훈련제도에 관한 연구 (A Study on the License & Training System of Security Agent in Japan)

  • 조용철;김순석
    • 시큐리티연구
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    • 제16호
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    • pp.339-356
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    • 2008
  • 한국과 일본의 민간경비산업은 여러면에서 공통점과 차이점을 가지고 있다. 경제개발과 함께 민간경비시장이 급속히 성장하여 오늘날 사회안전시스템 구축에 있어 중요한 역할을 한다는 점에서는 공통점을 보이고 있지만, 각각의 특성에 맞는 법령과 제도면에서는 다양한 차이점을 보이고 있다. 특히 일본의 민간경비는 시설경비, 호송경비, 신변보호 등의 분야 분만 아니라 혼잡 경비, 교통유도경비, 기계경비도 보급 확대하는 등 민간섹터의 생활안전서비스로서 확고히 정착하였다. 또한, 공항이나 원자력발전소와 같은 국가중요시설에서도 대테러 활동의 일환으로 민간경비산업이 진출하여 시큐리티서비스를 제공하고 있다. 최근에는 한국과 일본의 민간경비산업 전반에 걸쳐 자격검정제도와 교육훈련을 강화하는 노력이 진행되고 있다. 그 중에서 일본의 민간경비원에 대한 경비업무별 자격 검정제도와 경비원지도교육책임자제도로 대표되는 교육훈련제도는 여러면에서 우리에게 시사하는 바가 크다. 이러한 민간경비원의 질적 수준을 향상시키는 민간경비 전문화 노력은 앞으로 민간경비산업의 장기적인 발전에 크게 기여할 것임에 분명하다.

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영양사 국가시험 과목의 학제별 개설 운영 실태 및 영양사 국가시험과의 상관성 분석 (The Analysis of the National Examination for Dietitian's License by Educational System)

  • 박상현;정현아;백재은;주나미
    • 한국식품영양학회지
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    • 제26권2호
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    • pp.234-241
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    • 2013
  • The purpose of this research was to suggest a category and level of national examination for dietitian's license and provide basic data for the development of national examination question by analyzing the current states on the curriculum of national examination for the dietitian's license and correlation with the current states on curriculum and national examination for the dietitian's license. The higher the current states on curriculum, the lower absentee rate and failing rate of the national examination for the dietitian's license. The higher the current states on curriculum, the higher pass rate of the national examination for the dietitian's license. Also, the current states on curriculum were positive relationship with correct answer rates. The higher the educational system, the higher the current states on curriculum. The educational system was negative relationship with the current states on curriculum of 'public health', 'advanced nutrition', 'food science', 'principles of culinary', and 'food sanitary law (p<0.05)'. The correct answers rates of 'institutional foodservice' were significantly positive relationship with the current states on curriculum of 'institutional foodservice (p<0.01)', 'foodservice organization (p<0.01)', 'food sanitation (p<0.05)', and 'practice in foodservice institutions (p<0.01)'. The pass rate was significantly positive relationship with the correct answer rates of 'institutional foodservice (p<0.01)', 'physiology (p<0.01)', 'biochemistry (p<0.01)', 'food sanitary law (p<0.01)', 'food science and preparation (p<0.05)', 'nutrition education (p<0.01)', 'nutrition (p<0.01)', and 'total score (p<0.05)'.

전자 상거래를 위한 소프트웨어 사용권 관리 에이전트 시스템 (Software License Management Agent System for Electronic Commerce)

  • 윤우성;윤정모;김태윤
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제7권1호
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    • pp.77-86
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    • 2001
  • 전자 상거래의 발전과 더불어 인터넷을 통한 소프트웨어의 분배 및 구매가 활성화되고 있다. 전자 소프트웨어 분배(ESD: Electronic Software Distribution) 모델중 선지불(Buy-first) 방법과 후지불(Try-before-buy) 방법은 소프트웨어의 불법 복제 문제를 해결하지 못한다. 최근 연구된 전자 사용권(EL: Electronic License) 모델은 소프트웨어와 사용권을 분리하여 불법 복제 문제를 해결한다. 그러나 이 방법 역시 소프트웨어에 대하여 다양한 지불 방법을 해결하지 못하다. 따라서 본 논문에서는 새로운 형태의 ESD 모델인 소프트웨어 사용권 관리 에이전트 시스템을 제안한다. 제안된 시스템은 새로운 형식의 사용권(NL: New License)을 제안하여 사용자가 원하는 다양한 지불 방법을 해결한다. 또한 사용 내역서(SC: Software Charge)를 제안하여 사용자가 사용한 소프트웨어 값을 판매자가 받는 것을 보장한다. 제안된 시스템의 에이전트는 NL과 SC를 관리하여 불법 복제 방지 효과 및 시스템간의 확장성을 제공한다.

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A Robust Real-Time License Plate Recognition System Using Anchor-Free Method and Convolutional Neural Network

  • Kim, Dae-Hoon;Kim, Do-Hyeon;Lee, Dong-Hoon;Kim, Yoon
    • 한국컴퓨터정보학회논문지
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    • 제27권4호
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    • pp.19-26
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    • 2022
  • 최근 지능형 교통 체계의 발전에 따라 자동차 번호판 인식 시스템이 다양한 분야에서 활용되고 있다. 주행 중인 자동차의 번호판을 인식하기 위해서는 실시간성이 보장되어야 하며, 영상이 왜곡되어 뚜렷하지 않거나 번호판의 크기가 작은 저해상도 영상에서도 높은 인식률이 유지되어야 한다. 본 논문에서는 자유 앵커 방식 기반의 객체 탐지 알고리즘과 합성곱 신경망(CNN) 기반의 문자 인식 알고리즘을 이용하여 처리 속도를 향상한 실시간 자동차 번호판 인식 시스템을 제안한다. 더불어 공간 변형 네트워크를 이용하여 저해상도 및 왜곡된 영상에서의 인식률을 높였다. 제안하는 시스템의 인식률은 93.769%, 이미지 당 처리 속도는 약 0.006초로 기존 자동차 번호판 인식 시스템보다 빠른 속도로 자동차 번호판을 인식하며, 다양한 환경 및 품질의 영상에 대해 높은 인식률을 유지하는 것을 확인할 수 있다.