• Title/Summary/Keyword: accuracy analysis

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Real-time Measurement and Analysis for Micro Circular Path of Two-Axes Stage Using Machine Vision (머신 비젼을 이용한 2축 스테이지의 마이크로 원형 궤적 실시간 측정 및 분석)

  • Kim, Ju-Kyung;Park, Jong-Jin;Lee, Eung-Suk
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.31 no.10
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    • pp.993-998
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    • 2007
  • To verify the 2D or 3D positioning accuracy of a multi-axes stage is not easy, particularly, in the case the moving path of the stage is not linear. This paper is a study on a measuring method for the curved path accurately. A machine vision technique is used to trace the moving path of two-axes stage. To improve the accuracy of machine vision, a zoom lens is used for the 2D micro moving path. The accuracy of this method depends of the CCD resolution and array align accuracy with the zoom lens system. Also, a further study for software algorithm is required to increase the tracing speed. This technique will be useful to trace a small object in the 2D micro path in real-time accurately.

The research of new algorithm to improve prediction accuracy of recommender system in electronic commercey

  • Kim, Sun-Ok
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.185-194
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    • 2010
  • In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.

BASE DRAG PREDICTION OF A SUPERSONIC MISSILE USING CFD (CFD를 이용한 초음속 유도탄 기저항력 예측)

  • Lee Bok-Jik
    • Journal of computational fluids engineering
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    • v.11 no.3 s.34
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    • pp.59-63
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    • 2006
  • Accurate prediction of a supersonic missile base drag continues to defy even well-rounded CFD codes. In an effort to address the accuracy and predictability of the base drags, the influence of grid system and competitive turbulence models on the base drag is analyzed. Characteristics of some turbulence models is reviewed through incompressible turbulent flow over a flat plate, and performance for the base drag prediction of several turbulence models such as Baldwin-Loman(B-L), Spalart-Allmaras(S-A), k-$\varepsilon$, k-$\omega$ model is assessed. When compressibility correction is injected into the S-A model, prediction accuracy of the base drag is enhanced. The NSWC wind tunnel test data are utilized for comparison of CFD and semi-empirical codes on the accuracy of base drag predictability: they are about equal, but CFD tends to perform better. It is also found that, as angle of attack of a missile with control fins increases, even the best CFD analysis tool we have lacks the accuracy needed for the base drag prediction.

The study of Combination Texture Information and Knowledge Base Classification for Urban Paddy Area Extraction-Using High Resolution Satellite Image

  • Chou, Tien-Yin;Lei, Tsu-Chiang;Chen, Yan-Hung
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.807-810
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    • 2003
  • This research uses high-resolution satellite images as a source of collecting farmland information. For effectively extract the paddy area, we use texture information and different classify methods to assist the satellite image classification. First, using maximum likelihood classifier to extract paddy information from images. The results show that User Accuracy and Procedure Accuracy of the paddy area can increase from 80.60% to 95.45% and 84.38% to 95.45%. Second, establishing a paddy Knowledge Base and using Knowledge Base Classifier to extract paddy area, and result shows the User Accuracy and Producer Accuracy to be 92.16% and 90.06%. Finally, The result shows we can effectively contribute to the paddy field information extraction from high-resolution satellite images.

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CCD PHOTOMETRY USING MULTIPLE COMPARISON STARS

  • Kim, Yong-gi;Andronov, Ivan L.;Jeon, Young-Beom
    • Journal of Astronomy and Space Sciences
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    • v.21 no.3
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    • pp.191-200
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    • 2004
  • The accuracy of CCD observations obtained at the Korean 1.8m telescope has been studied. Seventeen comparison stars in the vicinity of the cataclysmic variable BG CMi have been measured. The 'artificial' star has been used instead of the 'control' star, what made possible to increase accuracy estimates by a factor of 1.3-2.1 times for 'good' and 'cloudy' nights, respectively. The algorithm of iterative determination of accuracy and weights of few comparison stars contributing to the artificial star, has been presented. The accuracy estimates for 13-mag stars are around $0.^m002$ mag for exposure times of 30 sec.

다구찌 방법을 이용한 공정변수의 최적화

  • 이수호;박원식;조형석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.907-910
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    • 1995
  • Though SLA(Stereolithography Apparatus) is being recognized as an innovative technology, it still can not be used to fully practical applications since it lacks of dimensional accuracy compared to conventional processes. In SLA, the accuracy of cured part depends upon the set of process parmeters. In order to improve the accuracy of SLA, this paper quantitatively evaluates how largely each process parameter of SLA contributes to the part accuracy and estimates the optimal set of process parameter which minimizes the dimensional errors of the test part, "letter-H" part. For this purpose, we use ANOVA(analysis of variance) and S/N(signal-to-noise)ratio of Taguchi method.hi method.

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A Study on the Analysis of Geometric Accuracy of Tilting Angle Using KOMPSAT-l EOC Images

  • Seo, Doo-Chun;Lim, Hyo-Suk
    • Korean Journal of Geomatics
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    • v.3 no.1
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    • pp.53-57
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    • 2003
  • As the Korea Multi-Purpose Satellite-I (KOMPSAT-1) satellite can roll tilt up to $\pm$45$^{\circ}$, we have analyzed some KOMPSAT-1 EOC images taken at different tilt angles for this study. The required ground coordinates for bundle adjustment and geometric accuracy are obtained from the digital map produced by the National Geography Institution, at a scale of 1:5,000. Followings are the steps taken for the tilting angle of KOMPSAT-1 to be present in the evaluation of geometric accuracy of each different stereo image data: Firstly, as the tilting angle is different in each image, the characteristic of satellite dynamic must be determined by the sensor modeling. Then the best sensor modeling equation should be determined. The result of this research, the difference between the RMSE values of individual stereo images is mainly due to quality of image and ground coordinates instead of tilt angle. The bundle adjustment using three KOMPSAT-1 stereo pairs, first degree of polynomials for modeling the satellite position, were sufficient.

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Acceleration the Convergence and Improving the Learning Accuracy of the Back-Propagation Method (Back-Propagation방법의 수렴속도 및 학습정확도의 개선)

  • 이윤섭;우광방
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.8
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    • pp.856-867
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    • 1990
  • In this paper, the convergence and the learning accuracy of the back-propagation (BP) method in neural network are investigated by 1) analyzing the reason for decelerating the convergence of BP method and examining the rapid deceleration of the convergence when the learning is executed on the part of sigmoid activation function with the very small first derivative and 2) proposing the modified logistic activation function by defining, the convergence factor based on the analysis. Learning on the output patterns of binary as well as analog forms are tested by the proposed method. In binary output patter, the test results show that the convergence is accelerated and the learning accuracy is improved, and the weights and thresholds are converged so that the stability of neural network can be enhanced. In analog output patter, the results show that with extensive initial transient phenomena the learning error is decreased according to the convergence factor, subsequently the learning accuracy is enhanced.

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Accuracy Evaluation of IGS-RTS Corrections to Stand-Alone Positioning Based on GPS Code-Pseudorange Measurements

  • Kang, Min-Wook;Won, Jihye;Kim, Mi-So;Park, Kwan-Dong
    • Journal of Positioning, Navigation, and Timing
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    • v.5 no.2
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    • pp.59-66
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    • 2016
  • The International GNSS Service (IGS) provides the IGS-Real Time Service (IGS-RTS) corrections that can be used in stand-alone positioning in real time. In this study, the positioning accuracy before and after the application of the corrections to broadcast ephemeris by applying the IGS-RTS corrections at code pseudo-range based stand-alone positioning was compared with positioning result using precise ephemeris. The analysis result on IGS-RTS corrections showed that orbit error and clock error were 0.05 m and 0.5 ns compared to precise ephemeris and accuracy improved by about 8.5% compared to the broadcast ephemeris-applied result when the IGS-RTS was applied to positioning. Furthermore, regionally dispersed five observatories were selected to analyze the effect of external environments on positioning accuracy and positioning errors according to location and time were compared as well as the number of visible satellites and position dilution of precision by observatory were analyzed to verify a correlation with positioning error.

A Study on the Plan Photogrammetry for Clothing Design (피복구성학적 인체계측방법에 관한 연구 - 평면사진계측방법을 중심으로 -)

  • 박찬미;서미아
    • The Research Journal of the Costume Culture
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    • v.5 no.1
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    • pp.151-164
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    • 1997
  • This study pursues the problems of plan photogrammetry which is widely used in somatotyping at present, and find out a method which can improve accuracy of measurement on the basis of principles and mechanisms of photography-the basic foundation of the photographic analysis methods. As a result, this study proposes a new method which is based on the reference point method and perspective coordinate system. And the test measurement was operated to compare the measurement accuracy of the proposed method and the method based on reference grid screen method and perpendicular coordinate system which is commonly used at present. The result of this test measurement showed that the proposed method has higher accuracy. Two reasons can be pointed out for the improvement of measuring accuracy. The first reason is that the proposed perspective coordinate system reduces the perspective distortion of photography. And second reason is that measuring points can be closely placed to the scale and coordinate reference plan of measurement by the proposed reference point method which make possible to place measuring object (or person) at the center of scale and coordinate reference plan by utilizing reference points of measurement in the three dimensional space not on screen.

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