• Title/Summary/Keyword: Accuracy improvement

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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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    • v.48 no.6
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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.

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

  • 천우진;김남경;하만경;송지복
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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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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A Multi-Step Digitizing Method and Reverse Model Generation for Improvement of Reverse Engineering Accuracy (역공학의 정밀도 향상을 위한 점 데이터의 다단계 획득 및 역모델 형성)

  • 김권흡;장경열;유우식;박정환;고태조;배석형
    • Korean Journal of Computational Design and Engineering
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    • v.8 no.3
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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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    • v.52 no.3
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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.

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

  • Jeong, Hey-Jin;Kim, Mi-Sook;Noh, In-Sup;Yoon, Gil-Won
    • Journal of Sensor Science and Technology
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    • v.17 no.2
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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).

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

  • Oh, Se-Yoon;Park, Seung-O;Ahn, Seung-Ki
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.4
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    • pp.291-297
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    • 2014
  • A Design of Experiments(DOE) approach to an experimental study of fuselage drag and stability characteristics of a helicopter configuration was applied to achieve an accuracy improvement in the wind tunnel testing. The impact of blocking the test was assessed by comparing the ANOVA table for the blocked and unblocked cases. For a second-order response model, the role of blocking resulted in a substantial increase in the accuracy of test results. These accuracy improvement could be achieved through randomization, blocking, and replication of the data points i.e. a re-ordering of the test sequence where the data were acquired.

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

  • 이상혁;최규홍;박종욱;박필호
    • Journal of Astronomy and Space Sciences
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    • v.18 no.1
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    • pp.63-70
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    • 2001
  • IDGPS(Inverted Differential Global Positioning System) is one of technique improving the accuracy of GPS positioning and is mostly used for tracking an automatic vehicle. In the IDGPS, the user send it’s GPS position and related satellite information to dispatcher, and the corrections are made at the dispatcher to get corrected user position. IDGPS suffered correction degradation as the baseline become large. This problem is resolved using NIDGPS(Network IDGPS). As the experimental results are demonstrated, the improvement of position accuracy using IDGPS and NIDGPS is verified.

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Ramp形 A-D 變煥器의 直線性 改善에 關하여

  • 이필재
    • The Magazine of the IEIE
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    • v.2 no.2
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    • pp.37-42
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    • 1975
  • 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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Area Separation Histogram Specification Method for Accuracy Improvement of Vision Inspection (Vision 검사의 정확도 향상을 위한 영역 분할 히스토그램 지정 기법)

  • Park, Se-Hyuk;Huh, Kyung-Moo
    • Proceedings of the KIEE Conference
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    • 2006.10c
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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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Development of Algorithms for Accuracy Improvement in Transfer-Type Variable Lamination Manufacturing Process using Expandable Polystrene Foam (VLM-ST공정의 정밀도 향상을 위한 알고리즘 개발)

  • 최홍석;이상호;안동규;양동열;박두섭;채희창
    • Korean Journal of Computational Design and Engineering
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    • v.8 no.4
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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.