• 제목/요약/키워드: ocr

검색결과 470건 처리시간 0.038초

A Novel Digital Over Current Relay with Variable Time-Current Characteristics for Protective Coordination

  • Park, M. S.;P. S. Cho;Lee, S. J.;S. H. Hyun;Kim, K. H.
    • KIEE International Transactions on Power Engineering
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    • 제2A권3호
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    • pp.83-88
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    • 2002
  • An over current relay(OCR), one of the most frequently used protective devices, has time-current characteristics (TCC) to control its trip time according to the current level. It is because an appropriate operating time interval is necessary for coordination with other protective devices. A set of TCC curves of an OCR is, in general, given by the supplier from which a curve is selected by the operator. Therefore, in many cases, it is impossible to consider the operation condition of the given power system exactly. A novel concept of an OCR is suggested in this paper. The proposed OCR has an internal correction module so that it may produce the most adequate TCC curve according to the given protective information for coordination with other devices. With the generated TCC curve, a variety of operation and coordination conditions can be taken into consideration in an effective manner. The suggested OCR is applied to a simple test power system to show very promising results from a coordination point of view.

Development of a Low-cost Industrial OCR System with an End-to-end Deep Learning Technology

  • Subedi, Bharat;Yunusov, Jahongir;Gaybulayev, Abdulaziz;Kim, Tae-Hyong
    • 대한임베디드공학회논문지
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    • 제15권2호
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    • pp.51-60
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    • 2020
  • Optical character recognition (OCR) has been studied for decades because it is very useful in a variety of places. Nowadays, OCR's performance has improved significantly due to outstanding deep learning technology. Thus, there is an increasing demand for commercial-grade but affordable OCR systems. We have developed a low-cost, high-performance OCR system for the industry with the cheapest embedded developer kit that supports GPU acceleration. To achieve high accuracy for industrial use on limited computing resources, we chose a state-of-the-art text recognition algorithm that uses an end-to-end deep learning network as a baseline model. The model was then improved by replacing the feature extraction network with the best one suited to our conditions. Among the various candidate networks, EfficientNet-B3 has shown the best performance: excellent recognition accuracy with relatively low memory consumption. Besides, we have optimized the model written in TensorFlow's Python API using TensorFlow-TensorRT integration and TensorFlow's C++ API, respectively.

국내 교류 전기철도 급전계통 보호용 과전류 계전기 모델링 및 과부하 보호 협조에 관한 연구 (A Study on the Overcurrent Relay Modeling and Protective Coordination for Overload in Domestic AC Electrical Railway System)

  • 김현동;조규정;허승훈;김철환
    • 전기학회논문지
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    • 제65권7호
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    • pp.1121-1127
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    • 2016
  • In this paper, modeling of overcurrent relay(OCR) to protect domestic AC electric railway Auto Transformer(AT) feeding system and operation characteristic analysis on overload condition are described. The target system of this paper is actual site where overload trip of circuit breaker occurs frequently. Because this AT feeding system is made of parallel single track which had a load(electric train) respectively, and is connected with only T phase of Scott Transformer. In addition, this system has been feeding 66kV voltage by KEPCO, not 154kV. We focus on protective coordination of Scott Transformer primary side and secondary side OCR for Korea single track AC electrical railway system in operation currently. We modeled single track AT feeding system and OCR. Also we performed faults and overload analysis for verification of OCR's setting values and system modeling. To analyze above mentioned research, we used PSCAD/EMTDC software tool.

OCR 엔진 기반 분류기 애드온 결합을 통한 이미지 내부 텍스트 인식 성능 향상 (Scene Text Recognition Performance Improvement through an Add-on of an OCR based Classifier)

  • 채호열;석호식
    • 전기전자학회논문지
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    • 제24권4호
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    • pp.1086-1092
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    • 2020
  • 일상 환경에서 동작하는 자율 에이전트를 구현하기 위해서는 이미지나 객체에 존재하는 텍스트를 인식하는 기능이 필수적이다. 주어진 이미지에 입력 변환, 특성 인식, 워드 예측을 적용하여 인식된 텍스트에 존재하는 워드를 출력하는 과정에 다양한 딥러닝 모델이 활용되고 있으며, 딥뉴럴넷의 놀라운 객체 인식 능력으로 인식 성능이 매우 향상되었지만 실제 환경에 적용하기에는 아직 부족한 점이 많다. 본 논문에서는 인식 성능 향상을 위하여 텍스트 존재 영역 감지, 텍스트 인식, 워드 예측의 파이프라인에 OCR 엔진과 분류기로 구성된 애드온을 추가하여 기존 파이프라인이 인식하지 못한 텍스트의 인식을 시도하는 접근법을 제안한다. IC13, IC15의 데이터 셋에 제안 방법을 적용한 결과, 문자 단위에서 기존 파이프라인이 인식하는데 실패한 문자의 최대 10.92%를 인식함을 확인하였다.

OCR "글돌이"의 계층구조 (A Hierarchical Structure on OCR "Guldori")

  • 이균하
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 1989년도 한글날기념 학술대회 발표논문집
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    • pp.272-277
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    • 1989
  • 한글을 포함하는 문서의 인식을 위한 시스템의 설계, 유지, 보수 및 확장을 체계적이며 용이하도록 하기 위한 문서인식 시스템의 기능별 계층화 구조를 제안하고 실용화를 목표로 추진중인 OCR "글돌이"의 원형 시스템에의 적용 타당성을 조사하였다. 각 계층은 인접 계층과 인터페이스만으로 연결토록 하여 상호 독립적인 방식을 취하였으며 특히 문자인식등과 갈이 소프트웨어의 구조가 복잡한 계층은 하드웨어 및 firmware의 형태로 구성을 하여 임의의 워크 스테이션 또는 임의의 스캐너와 쉽게 접속되도록 하였다.

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OCR 시스템을 위한 화상 정렬 알고리즘과 고속 하드웨어 구현 (A Image Alignment Algorithm for an OCR System and its Hardware Implementation)

  • 최완수;최진호;정윤구;김수원
    • 전자공학회논문지B
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    • 제30B권8호
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    • pp.33-40
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    • 1993
  • This paper presents a hardware for image alignment based on proposed new algorithm which can align a small misaligned document image simply by one transformation with a parallel shifting of pixels. This hardware is simulated with VHDL and estimated to be about 65 ms to align an image made up of 380 by 480 pixels. Also, we will demonstrate the effectiveness of the proposed image alignment algorithm in OCR system by comparing its characteristics with those of the existing image rotation algorithms.

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문자 인식을 이용한 한글 문서 검색 (Hangul Document Retrieval Using Character Recognition)

  • 안재철;오일석
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 봄 학술발표논문집 Vol.28 No.1 (B)
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    • pp.544-546
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    • 2001
  • 이 논문은 OCR(Optical Character Reader)로 인식된 한글 문서에서의 오인식 경향을 분석하고, 이를 이용한 한글 단어 검색 방법을 제안한다. OCR로 인식된 많은 야의 한글 문서를 기반으로 자모별 인식 빈도수를 계산하고 이를 바탕으로 초성, 중성, 중성별 인식 혼동 행렬(confusion matrix)을 구성하였다. 또한 인식 정보를 적절히 이용하기 Bayes 정리를 이용하였다. 질의어에 대한 오인식 단어의 검색 방법을 제시하고 혼동 행렬과 이 검색 방법을 바탕으로 OCR 기반 단어 검색 시스템을 구축하였다.

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광센서를 이용한 과전류 보호계전의 응답특성 연구 (Response characteristic of over current relay using optical sensor)

  • 박병석;안성준;조홍근
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1364-1366
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    • 1997
  • To operate electric power systems economically and stably, and to supply the electric power of good quality, it is necessary that the measured information (current, voltage, and so on) be detected and transmutted with high reliability and high effieincy. For the reason, the optical magnetic field sensor is possible to rapidly detect to over current and recover when electric power line have fault. In addition, the optical sensor have no electro magnetic distortion and no electric insulation. In this study, we designed OCR(Over Current Relay) using optical sensor. The designed OCR using optical sensor was measured characteristic and compared contentional OCR. This system have highest optical advantages and reliability.

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Effects of Sodium Cyanide (NaCN) on the Endogenous Rhythm of the Oxygen Consumption Rate in the Black Rockfish Sebastes schlegeli

  • Kim, Wan-Soo;Kim, Jong-Wook;Lee, Jae-Hak;Huh, Sung-Hoe
    • Ocean Science Journal
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    • 제43권2호
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    • pp.107-113
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    • 2008
  • Laboratory bioassays were conducted to test the acute toxicity effects of sudden exposure to sodium cyanide (NaCN) on the endogenous rhythm of the oxygen consumption rate (OCR) in the black rockfish Sebastes schlegeli. The OCR of the black rockfish(n = 14, total length = $20.4{\pm}1.16\;cm$, wet weight = $158{\pm}25\;g$) was measured with an automatic intermittent-flow-respirometer. OCR decreased significantly when experimental fish were exposed to NaCN. When exposed to 10 ppb NaCN, fish were able to recover their OCR rhythmic activities. When fish were exposed to 20 ppb, however, the metabolic activity rhythms were not recovered. These results suggest that exposure to NaCN concentrations over 20 ppb cause severe physiological damage to the endogenous rhythms of black rockfish.

초성자소분리 인식에 의한 필기 한글문자의 대분류에 관한 연구 (A Study on the Pre-Classification of Handwritten Hangeul Characters Using Partial Separation and Recognition of Initial Consonants)

  • 안석출;김명기
    • 한국인쇄학회지
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    • 제6권1호
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    • pp.41-57
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    • 1988
  • Recently, it Is required to develop OCR(Optical Character Reader) along with the progress of the information processing system for Hangeul. Characters have to be recognized clearly so that OCR can be applied, Structure analysis method and lump method are used for the recognition of characters, and OCR is now available for the recognition of printed characters and handwritten alphanumeric characters having simple structure by them However, It is known that there should be much more study on the development of handwritten Hangout's OCR. This paper proposed a new method for the handwritten Hangout character recognition. The units of Initial consonant of Hangout are separated and then recognized from the utilization of the position- Information of Hangeul's units from the normalized patterns using the regression line theory. It is carried out for the extraction of the block which exists in the virtual Initial consonant region from the normalized input patterns and the calculation on maximum value (${\beta}$) of likelihood after comparing the features of separated subpattern with the initial consonant dictionary.

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