• 제목/요약/키워드: Accuracy Measure

검색결과 2,027건 처리시간 0.027초

반전법을 이용한 축 직각도 측정방법 (Measurement of Axis Squireness by using Reversal Method)

  • 이창우;송준엽;하태호
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.436-439
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    • 2005
  • In general a square master and a dial gauge are used to measure the axis squareness on the spot. This method is a comparison measurement and its accuracy depends on the square accuracy wholly. Therefore the accuracy of a square master is very important and it is impossible that the accuracy of a square measurement is superior to the accuracy of a square master. In this paper, the new method of square measurement is proposed for measuring square without a square master and easily. This method is an absolute measurement by using a reversal method and can be used to measurement the accuracy of a square master.

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미세단층촬영기(Micro-CT)를 이용한 전자 근관장 측정기의 정확성에 관한 연구 (A Study on the Accuracy of the Electronic Apex Locator Using a Micro-Computed Tomography)

  • 전경진;김양수;남태계
    • 한국정밀공학회지
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    • 제24권8호통권197호
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    • pp.116-121
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    • 2007
  • The length of root canal has to be measured for endodontic treatment. Several electronic apex locators were developed to measure the length of root canal by other researchers. And their accuracies were verified by X-ray or micrometer method. But these methods did not consider the non-linear bends of pulp and had ${\pm}0.5mm$ error which was large enough to measure the length of root canal. The purpose of this study is the introduction of a new method to measure the length of root canal and the verification of the accuracy of an electronic apex locator using a Micro-CT. The length of root canal of 6 teeth were measured with the electronic apex locator. When the electronic apex locator reads 0.5, 0.6, 0.7, 0.8, 0.9 and 1.0 mm length of the file which was inserted in the hole of the tooth to measure the length of root canal. The average (${\pm}$Standard deviation) length of root canal of 6 teeth measured by the Micro-CT was $0.49{\pm}0.03,\;0.59{\pm}0.04,\;0.68{\pm}0.03,\;0.78{\pm}0.03,\;0.90{\pm}0.04\;and\;1.01{\pm}0.03mm$, respectively. The maximum error of the electronic apex locator was 0.06 mm.

초음파를 이용한 Bladder형태에 따른 잔뇨량 측정의 정확도 연구 (A Study on the Accuracy of Measurement of Residual Urine Amount depending on the Bladder form using Ultrasonic)

  • 김연민;박태훈;김진혁;김수지;조다훈;허진영;한동균
    • 대한디지털의료영상학회논문지
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    • 제16권2호
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    • pp.1-7
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    • 2014
  • This study is to increase the accuracy of the diagnosis of benign prostatic hyperplasia by presenting a method that can accurately measure the residual urine amount of the bladder by using an ultrasound image. Agar powder, Propanol and distilled water were used as materials for making a phantom. In order to measure the volume, a $10m{\ell}$ cylinder, syringe and beaker were used. The image was obtained by scanning phantoms produced into six shapes. Each constant value was obtained by using the expression designed to measure the residual urine amount of the bladder and was compared and analyzed. The measuring method of Bladder volume was presented and a constant value for each shape was obtained and five observers measured it five times. According to the results of clinical application, the errors of Ellipse-beanbag, Shield-shield were 11.0%, 18.2%, respectively. Constant values depending on the shape of each phantom were presented in order to accurately measure the volume of the bladder in measuring the amount of residual urine for the diagnosis of benign prostatic hyperplasia. The accuracy of the volume using this was verified statistically(p > 0.05). Therefore, it is considered to be useful in diagnosing benign prostatic hyperplasia by using the ultrasound imaging measuring method presented.

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정전용량센서를 이용한 소형공작기계의 기하학적 오차측정 (Measurement of Geometric Errors in a Miniaturized Machine Tool Using Capacitance Sensors)

  • 권성환;이재하;리우위;임창범;양승한
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.1733-1736
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    • 2005
  • Many studies have been carried out to produce 3D features in the size range between $10{\mu}m\~10,000{\mu}m$, called Meso-scale. If these miniaturized systems have high relative accuracy and good volumetric utilization, it is possible to manufacture more complex and accurate shapes with various materials as well as there are advantages of reducing energy, space and resources. Due to imperfect components and misalignment in assembly, it is necessary to assess the accuracy of the miniaturized system itself to obtain high relative accuracy. Laser interferometers are widely used to measure geometric errors called as quasi-static errors. For miniaturized system, however, it is difficult to install the required accessories such as optics and the measuring range is limited because of the size of the system and also this method is very expensive. Moreover, it is impossible to measure each error component simultaneously. A new system to measure simultaneously multiple geometric errors is proposed using capacitance sensors. Each error was measured using capacitance sensors and a measurement algorithm was mathematically derived. The experiments show that the proposed measurement system can be used effectively to assess the accuracy of miniaturized system at a low cost.

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노광 광학계의 왜곡수차 측정에 관한 연구 (Direct Measurement of Distortion of Optical System of Lithography)

  • 주원돈;이지훈;채성민;김혜정;정미숙
    • 한국광학회지
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    • 제23권3호
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    • pp.97-102
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    • 2012
  • 일반적으로 왜곡을 측정하는 방법으로 패턴의 전체 이미지를 분석하여 왜곡을 평가하는 방법을 이용하고 있으나 정확도가 높지 않아 카메라 등의 광학계에 많이 적용되고 있다. 1um이하의 정확도를 요구하는 왜곡수차를 측정하는 방법으로는 고가의 정밀 스테이지를 이용하여 마스크의 이미지 위치를 정확히 측정하는 방법이 주로 이용된다. 본 논문에서는 정확도가 요구되지 않는 매뉴얼 스테이지를 이용하여 왜곡을 정확히 측정하는 방법을 연구 하였다. 주요 아이디어로는 CCD나 CMOS를 이용하여 마스크 이미지를 일부 중첩되도록 분할측정하고 인접중첩영역의 이미지를 통합하여 마스크 이미지 위치를 정확히 계산하는 것이다. 마스크 이미지의 정확한 위치정보를 얻기 위해 Canny Edge Detection 기법을 사용하였으며 이렇게 확보된 위치정보로부터 좌표변환과 최소자승법을 사용하여 정확한 왜곡수차를 계산하는 과정을 연구하였다.

딥러닝과 Char2Vec을 이용한 문장 유사도 판별 (The Sentence Similarity Measure Using Deep-Learning and Char2Vec)

  • 임근영;조영복
    • 한국정보통신학회논문지
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    • 제22권10호
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    • pp.1300-1306
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    • 2018
  • 본 연구는 자연어 처리 문제 중 하나인 문장 유사도 판별 문제를 딥러닝으로 해결하는 데에 있어 Char2Vec기반으로 문장을 전 처리하고 학습시켜 그 성능을 확인하고 대표적인 Word Embedding 모델 Word2Vec를 대체할 수 있는 가능성이 있는지 파악하고자 한다. 임의의 두 문장을 비교할 때 쓰는 딥러닝 구조로 Siamese Ma-STM 네트워크를 사용하였다. Word2Vec와 Char2Vec를 각각 기반으로 한 문장 유사도 판별 모델을 학습시키고 그 결과를 분석하였다. 실험 결과 Char2Vec를 기반으로 학습시킨 모델이 validation accuracy 75.1%을 보였고 Word2Vec를 기반으로 학습시킨 모델은 validation accuracy 71.6%를 보였다. 따라서 고 사양을 요구하는 Word2Vec대신 임베딩 레이어를 활용한 Char2Vec 기반의 전처리 모델을 활용함으로 분석 환경을 최적화 할 수 있다.

NC 선반 주축의 회전정도 측정 시스템의 구성 (The Organization of Rotational Accuracy Measurement System of NC Lathe Spindle)

  • 김영석
    • 한국공작기계학회논문집
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    • 제14권5호
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    • pp.21-26
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    • 2005
  • It is important to measure the rotational accuracy of NC lathe spindle as it affects to the qualities of all machines machined by the NC lathe using in industries. The bad rotational accuracy of NC lathe spindle are caused mainly by wearness of the spindle in using and quality of spindle when machining and using low level bearings. It occurs especially in case of NC lathes because the cutting force acting to work-piece act on one side to the spindle not to both sides symmetrically. Therefore in this study, constructing experimental appratus for measuring of rotational accuracy by using eddy current type gap sensors, converters, screw terminal, data acquisition board inserted in computer and software f3r data acquisition, DT VEE ver. 5.0 and then error data acquired in the rotational accuracy test of NC lathe spindle are analysed in plots and statistical treatments.

과학수사용 화자 식별 시스템의 피치 차이에 따른 신뢰성 척도 (Confidence Measure of Forensic Speaker Identification System According to Pitch Variances)

  • 김민석;김경화;양일호;유하진
    • 말소리와 음성과학
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    • 제2권3호
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    • pp.135-139
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    • 2010
  • Forensic speaker identification needs high accuracy and reliability. However, the current level of speaker identification does not reach its demand. Therefore, the confidence evaluation of results is one of the issues in forensic speaker identification. In this paper, we propose a new confidence measure of forensic speaker identification system. This is based on pitch differences between the registered utterances of the identified speaker and the test utterance. In the experiments, we evaluate this confidence measure by speech identification tasks on various environments. As the results, the proposed measure can be a good measure indicating if the result is reliable or not.

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Oil Spill Detection from RADARSAT-2 SAR Image Using Non-Local Means Filter

  • Kim, Daeseong;Jung, Hyung-Sup
    • 대한원격탐사학회지
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    • 제33권1호
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    • pp.61-67
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    • 2017
  • The detection of oil spills using radar image has been studied extensively. However, most of the proposed techniques have been focused on improving detection accuracy through the advancement of algorithms. In this study, research has been conducted to improve the accuracy of oil spill detection by improving the quality of radar images, which are used as input data to detect oil spills. Thresholding algorithms were used to measure the image improvement both before and after processing. The overall accuracy increased by approximately 16%, the producer accuracy increased by 40%, and the user accuracy increased by 1.5%. The kappa coefficient also increased significantly, from 0.48 to 0.92.