• 제목/요약/키워드: Accuracy improvement

검색결과 2,350건 처리시간 0.036초

Accuracy Improvement of Boron Meter Adopting New Fitting Function and Multi-detector

  • Kong, Chidong;Lee, Hyunsuk;Tak, Taewoo;Lee, Deokjung;Kim, Si Hwan;Lyou, Seokjean
    • Nuclear Engineering and Technology
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    • 제48권6호
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    • pp.1360-1367
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    • 2016
  • This paper introduces a boron meter with improved accuracy compared with other commercially available boron meters. Its design includes a new fitting function and a multi-detector. In pressurized water reactors (PWRs) in Korea, many boron meters have been used to continuously monitor boron concentration in reactor coolant. However, it is difficult to use the boron meters in practice because the measurement uncertainty is high. For this reason, there has been a strong demand for improvement in their accuracy. In this work, a boron meter evaluation model was developed, and two approaches were considered to improve the boron meter accuracy: the first approach uses a new fitting function and the second approach uses a multi-detector. With the new fitting function, the boron concentration error was decreased from 3.30 ppm to 0.73 ppm. With the multi-detector, the count signals were contaminated with noise such as field measurement data, and analyses were repeated 1,000 times to obtain average and standard deviations of the boron concentration errors. Finally, using the new fitting formulation and multi-detector together, the average error was decreased from 5.95 ppm to 1.83 ppm and its standard deviation was decreased from 0.64 ppm to 0.26 ppm. This result represents a great improvement of the boron meter accuracy.

퍼지 알고리즘을 이용한 평면연삭의 형상정도 향상에 관한 연구 (A Sutdy on Improvement of Geomeric Accuracy by using Fuzzy Algorithm in Surface Grinding)

  • 천우진;김남경;하만경;송지복
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1993년도 추계학술대회 논문집
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    • pp.149-154
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    • 1993
  • In heavy grinding that is on of the high efficient grinding method, meaningful deformation is generated by high temperature. So, after machining, geomeric error generated od the workpiece. The most important factor on the geometric error is temperature difference between upper layer and lower layer (T $_{d}$) . Relations between Td and grinding condition and maximum geometric error and grinding condition are obtained by experiment. This relations are used in fuzzy algorithm for improvement geometric accuracy. The main results are follows : (1) The linear relation between maximum geometric error and grinding condition is ovtained by experiment. (2) The linear relation between maximum temperature difference between upper layer and lower layer and grinding condition is ovtained by experiment. (3) Control peth of wheel for improvement geometric accuracy is obtained by using the fuzzy algorithm.m.

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역공학의 정밀도 향상을 위한 점 데이터의 다단계 획득 및 역모델 형성 (A Multi-Step Digitizing Method and Reverse Model Generation for Improvement of Reverse Engineering Accuracy)

  • 김권흡;장경열;유우식;박정환;고태조;배석형
    • 한국CDE학회논문집
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    • 제8권3호
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    • pp.133-140
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    • 2003
  • This paper describes a Multi-step Digitizing Method and Reverse Model generation algorithm for improvement of reverse engineering accuracy. Reverse engineering is the process of reproducing computational model by directly extracting geometric information on the physical objects. For the improvement of measuring data accuracy, we propose a multi-step digitizing method. First, measuring cloud-of-point by use of a laser scanning system. Second, gathering digitizing data by a scanning touch probe. Fine digitizing plan generated from coarse surface model directly from the cloud-of-point and it allows CMM more accurate scanning data. Finally in this paper we propose the algorithm of generating NURB surface from more accurate measuring points.

Deep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency

  • Lee, Jae-Hong;Kim, Young-Taek;Lee, Jong-Bin;Jeong, Seong-Nyum
    • Journal of Periodontal and Implant Science
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    • 제52권3호
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    • pp.220-229
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    • 2022
  • Purpose: The aim of this study was to evaluate and compare the accuracy performance of dental professionals in the classification of different types of dental implant systems (DISs) using panoramic radiographic images with and without the assistance of a deep learning (DL) algorithm. Methods: Using a self-reported questionnaire, the classification accuracy of dental professionals (including 5 board-certified periodontists, 8 periodontology residents, and 31 dentists not specialized in implantology working at 3 dental hospitals) with and without the assistance of an automated DL algorithm were determined and compared. The accuracy, sensitivity, specificity, confusion matrix, receiver operating characteristic (ROC) curves, and area under the ROC curves were calculated to evaluate the classification performance of the DL algorithm and dental professionals. Results: Using the DL algorithm led to a statistically significant improvement in the average classification accuracy of DISs (mean accuracy: 78.88%) compared to that without the assistance of the DL algorithm (mean accuracy: 63.13%, P<0.05). In particular, when assisted by the DL algorithm, board-certified periodontists (mean accuracy: 88.56%) showed higher average accuracy than did the DL algorithm, and dentists not specialized in implantology (mean accuracy: 77.83%) showed the largest improvement, reaching an average accuracy similar to that of the algorithm (mean accuracy: 80.56%). Conclusions: The automated DL algorithm classified DISs with accuracy and performance comparable to those of board-certified periodontists, and it may be useful for dental professionals for the classification of various types of DISs encountered in clinical practice.

적외선 분광학에 의한 간질액 글루코즈 농도 측정의 정확도 향상 (Accuracy improvement in the interstitial glucose measurement based on infrared spectroscopy)

  • 정혜진;김미숙;노인섭;윤길원
    • 센서학회지
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    • 제17권2호
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    • pp.120-126
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    • 2008
  • Glucose concentrations in the interstitial fluid were measured based on optical spectroscopy. Prediction of glucose concentrations was made using partial least squares regression and accuracy improvement was achieved by data preprocessing as well as by selecting an optimal wavelength region. For this purpose, artificial interstitial fluid samples were prepared where their glucose levels varied between 0 and 10 g/dl. Infrared spectral regions where glucose absorption lies were investigated. A region of 1000 - 1500 $cm^{-1}$ produced the best accuracy among the regions of 1000 - 1500 $cm^{-1}$, 4000 - 4545 $cm^{-1}$1 and 5500 - 6500 $cm^{-1}$. Further accuracy improvement in 1000 - 1500 $cm^{-1}$ was achieved by selecting specific wavelength bands based on a loading vector analysis method. For the samples whose glucose concentrations ranged between 0 and 0.5 g/dl, SEP= 0.0266 g/dl and R =0.9863 were achieved with 1000 - 1500 $cm^{-1}$. However, the loading vector optimized band of 1002 - 1095 $cm^{-1}$ reduced the prediction error up to 47 % (SEP =0.0125 g/dl and R=0.9970).

실험설계법 기반 풍동실험 정밀도 향상 실험연구 (Experimental Investigations of Accuracy Improvement in Wind Tunnel Testing Using Design of Experiments)

  • 오세윤;박승오;안승기
    • 한국항공우주학회지
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    • 제42권4호
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    • pp.291-297
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    • 2014
  • 회전익 항공기의 기체 공력특성 측정실험에 실험설계 방법론을 적용하여 풍동실험의 정밀도 향상에 관한 연구를 수행하였다. 블록화와 블록화 되지 않은 경우들에 대한 분산분석결과의 비교를 통해 블록화의 영향을 평가하였다. 2차 반응표면모델의 경우 블록화가 실험결과의 정밀도 향상에 실질적인 영향을 주고 있음을 알 수 있었다. 본 연구를 통해 랜덤화, 블록화 및 반복화와 같은 실험설계원리와 같은 풍동실험 절차의 재배치를 통해 이러한 정밀도 향상이 가능함을 보였다.

NVERTED DGPS를 이용한 위치 정밀도 향상 (THE IMPROVEMENT OF POSITION ACCURACY USING INVERTED DGPS)

  • 이상혁;최규홍;박종욱;박필호
    • Journal of Astronomy and Space Sciences
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    • 제18권1호
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    • pp.63-70
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    • 2001
  • IDGPS(Inverted Differential Global Positioning System)는 GPS의 위치 결정 정밀도를 향상시키는 여러 기법들 중 하나로서 주로 차량 위치 추적이나 물류 시스템에 이용된다. 본 연구에 적용된 IDGPS 기법은 사용자측에서 보내준 GPS 위치해와 위성정보, 그리고 기준국에서 생성된 오차 보정 정보를 이용해 관제국에서 사용자의 위치를 보정하는 것이다. 기준국과 사용자에서 발생한 오차들의 공간적 비상관성(spatial decorrelation)으로 인해 생길 수 있는 정밀도 보정 효과의 저하를 여러 개의 기준국을 이용한 NIDGPS(Network IDGPS)를 통해 해결하였다. 차량항법용 수신기를 사용자 수신기로서 사용하여 실험한 결과, IDGPS와 NIDGPS를 통해 단독 측위에 비해 평균적으로 2배 이상 정밀도가 향상됨을 확인할 수 있었다.

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Ramp形 A-D 變煥器의 直線性 改善에 關하여

  • 이필재
    • 전자공학회지
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    • 제2권2호
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    • pp.37-42
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    • 1975
  • 램프형 A/D 변환기의 직선도의 정밀도에 영향을 미치는 여러 가지 원인들을 실험적으로 고찰하였다. 아울러 램프형 A/D 변환기의 직선도, 정밀도, 및 상계오차를 개선하기 위한 회로소자의 결정방법을 제안하였다. Various factors which affect the linearity and accuracy of the ramp type analog-to-digital converter have been investigated experimentally. A suggestion hav been made in the determination of circuit parameters with the emphasis on the improvement of the linearity and accuracy in the ramp type analog-to-digital conveter.

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Vision 검사의 정확도 향상을 위한 영역 분할 히스토그램 지정 기법 (Area Separation Histogram Specification Method for Accuracy Improvement of Vision Inspection)

  • 박세혁;허경무
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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    • pp.431-433
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    • 2006
  • The goal of this paper is improvement of vision inspection accuracy by using histogram specification operation. The histogram is composed of horizontal axis of image intensity value and vertical axis of pixel number in image. In appearance vision inspection, the histogram of reference image and input image are different because of minutely lighting distinction. The minutely lighting distinction is main reason of vision inspection error in many cases. Therefore we made an effort for elevation of vision inspection accuracy by making the identical histogram of reference image and input image. As a result of this area separation histogram specification algorithm, we could increase the exactness of vision inspection and prevent system error from physical and spirit condition of human. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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VLM-ST공정의 정밀도 향상을 위한 알고리즘 개발 (Development of Algorithms for Accuracy Improvement in Transfer-Type Variable Lamination Manufacturing Process using Expandable Polystrene Foam)

  • 최홍석;이상호;안동규;양동열;박두섭;채희창
    • 한국CDE학회논문집
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    • 제8권4호
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    • pp.212-221
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    • 2003
  • In order to reduce the lead-time and cost, the technology of rapid prototyping (RP) has been widely used. A new rapid prototyping process, transfer-type variable lamination manufacturing process by using expandable polystyrene foam (VLM-ST), has been developed to reduce building time, apparatus cost and additional post-processing. At the same time, VLM Slicer, the CAD/CAM software for VLM-ST has been developed. In this study, algorithms for accuracy improvement of VLM-ST, which include offset and overrun of a cutting path and generation of a reference shape are developed. Offset algorithm improves cutting accuracy, overrun algorithm enables the VLM-ST process to make a shape of sharp edge and reference shape generation algorithm adds additional shape which makes off-line lamination easier. In addition, proposed algorithms are applied to practical CAD models for verification.