• Title/Summary/Keyword: form-accuracy

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NUMERICAL SOLUTION OF A CLASS OF THE NONLINEAR VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS

  • Saeedi, L.;Tari, A.;Masuleh, S.H. Momeni
    • Journal of applied mathematics & informatics
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    • v.31 no.1_2
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    • pp.65-77
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    • 2013
  • In this paper, we develop the operational Tau method for solving nonlinear Volterra integro-differential equations of the second kind. The existence and uniqueness of the problem is provided. Here, we show that the nonlinear system resulted from the operational Tau method has a semi triangular form, so it can be solved easily by the forward substitution method. Finally, the accuracy of the method is verified by presenting some numerical computations.

Development of an image processing algorithm for korean document recognition (인식률을 향상한 한글문서 인식 알고리즘 개발)

  • 김희식;김영재;이평원
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1391-1394
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    • 1997
  • This paper proposes a new image processing algorithm to recognize korean documents. It take out the region of text area form input image, then it makes esgmentation of lines, words and characters in the text. A precision segmentation is very important to recognize the input document. The input image has 8-bit gray scaled resolution. Not only the histogram but also brightness dispersion graph are used for segmentation. The result shows a higher accuracy of document recognition.

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Measurement and Evaluation of Form Accuracy of Large Optical Surfaces (대구경 광학표면의 형상정밀도 측정 및 평가)

  • 김승우
    • Proceedings of the Optical Society of Korea Conference
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    • 2002.07a
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    • pp.6-7
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    • 2002
  • 대구경 광학계는 일반적으로 직경이 100 밀리미터 이상 1 미터에 이르는 거울이나 렌즈를 총칭한다. 이러한 대구경 광학계의 수요는 과거에는 천문 관측용 광학 부품에 주로 한정되었으나, 근래에 들어 인공위성의 지상 또는 우주 관측의 수요가 늘면서 다양한 형상의 대구경 광학계의 생산이 증대되고 있다. 또한 최근 들어서는 전자 및 디스플레이 산업에서 복잡한 형상 패턴의 노광 방식에 의한 기술의 사용이 증대되면서 노광기의 핵심부품인 대구경 광학계의 소비자 산업의 수요도 점차 확대되어 가고 있다. (중략)

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Extraction of registration parameters from range images considering measurement error (측정오차를 고려한 거리영상의 변환계수 추출)

  • 윤강식;이병욱;박래홍
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.5
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    • pp.66-72
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    • 1997
  • In this paper, we propose a method improving the accuracy of th eregistration coefficients calculated form two range images considering the measurement error. The employed range finder is based on triangulation and the depth measurement error is described with an error covariance matrix, which is based on thesensitivity of the range measurements. Experimental results demonstrate that the registration coefficients obtained with the proposed method are better than the results when the measurment errors are neglected.

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Polarography of Phenyl Mercuric Acetate (초산(醋酸)훼닐수은(水銀)의 Polarography)

  • Gang, Yeong-Gyu
    • Applied Biological Chemistry
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    • v.1
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    • pp.26-33
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    • 1960
  • Organic mercurial fungicides, for seed treatments and dust formulations, has been increasingly used by farmers. Evaluation of the purity of organic mercurial fungicides has been performed by precipitation method at this laboratory. There are several methods for the an alyses of organic mercuric formulation, among which are (1) Precipitation met hod, (2) Volatilization method, (3) Volumetric method, and (4) Dithizon method. These methods, however, show some deffects in specificity (differentiation of organic form) and quantitativity. Polarography applied for the estimation of phenyl mercuric acetate was found to be simple, rapid and accurate. Tile fundamental method of polarography arid accuracy of analysis are discussed statistically and a satisfactory results was obtained.

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헤파린화 혈액 적합성 고분자 재료

  • 한동근;김영하
    • Journal of Biomedical Engineering Research
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    • v.8 no.2
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    • pp.255-270
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    • 1987
  • A medical image workstation was developed using multimedia technique. The system based on PC-486DX was designed to acquire medical images produced by medical imaging instruments and related audio information, that is, doctors' reporting results. Input information was processed and analyzed, then the results were presented in the form of graph and animation. All the informations of the system were hierarchically related with the image as the apex. Processing and analysis algorithms were implemented so that the diagnostic accuracy could be improved. The diagnosed information can be transferred for patient diagnosis through LAN(local area network).

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Development of a neural network with fuzzy preprocessor (퍼지 전처리기를 가진 신경회로망 모델의 개발)

  • 조성원;최경삼;황인호
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.718-723
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    • 1993
  • In this paper, we propose a neural network with fuzzy preprocessor not only for improving the classification accuracy but also for being able to classify objects whose attribute values do not have clear boundaries. The fuzzy input signal representation scheme is included as a preprocessing module. It transforms imprecise input in linguistic form and precisely stated numerical input into multidimensional numerical values. The transformed input is processed in the postprocessing module. The experimental results indicate the superiority of the backpropagation network with fuzzy preprocessor in comparison to the conventional backpropagation network.

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The Grinding Characteristics of 5 kind metals for CBN Wheel (CBN휠에 의한 5종 재료의 연삭 특성 비교)

  • 원종호;김건희;안병민;박순섭;이진오
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.925-929
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    • 2001
  • Ultra-abrasives such as diamond and CBN have used to maintain accuracy and form deviation for superalloy etc. This study contains the dry cylindrical grinding of metals with Vitrified-bond CBN wheel and Resinoid-bond CBN wheel. For various conditions of grinding speed, workpiece speed, grinding depth and feed speed of table, the grinding resistance, the surface roughness, and the material removal are measured and discussed.

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A Design of Snoring Detection System using Chaotic Signal

  • Choo, Yeon-Gyu
    • Journal of information and communication convergence engineering
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    • v.8 no.5
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    • pp.560-565
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    • 2010
  • In this study, the existence of chaotic characteristics in snoring signals obtained in the form of time series data was checked through quantitative and qualitative analysis methods, and a snoring signal detection system was designed applied with detection algorithms considering diverse parameters of occurring signals in order to enhance the accuracy and reliability of detections and the performance of the system was checked. The system was tested with certain snoring patients and thereby the results as follows could be obtained.