• 제목/요약/키워드: sampling points

검색결과 635건 처리시간 0.032초

운동물체의 파라미터 추정에 필요한 대응점과 샘플링주기의 설정 (Establishment of Correspondent points and Sampling Period Needed to Estimate Object Motion Parameters)

  • 정남채;문용선;박종안
    • 한국음향학회지
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    • 제16권5호
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    • pp.26-35
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    • 1997
  • 본 논문에서는 무중력하에서 자유운동하는 물체의 화상정보로부터 그 운동을 추정할 때의 특징점의 대응점을 선택과 샘플링 주기를 설정하는 방법을 제안하였다. 관성 좌표계를 우주 로봇에 내장된 카메라 좌표계로 치환하여 화상에서 구해진 정보로부터 대응점 문제를 해석하고, 대상 물체의 운동을 결정하는 각속도 vector $\omega$를 구하는 것이 가능하다는 것을 시뮬레이션에 의하여 조사하였다. 또한, 특징점의 운동거리에 대한 상대오차가 양자화에 의해서 증가하기 때문에 샘플링 주기 ${\Delta}t$가 짧으면 각속도의 상대오차는 증가한다. 역으로 샘플링 주기 ${\Delta}t$가 너무 길어져도 각속도가 근사화될 때 샘를링 주기가 길기 때문에 오차가 증가한다. 한편, 정밀도는 해상도가 증가함에 따라 증가한다는 것을 확인하였다.

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RSM을 이용한 6MW BLDC용 영구자석의 형상 최적화 연구 (I) (A Permanent Magnet Pole Shape Optimization for a 6MW BLDC Motor by using Response Surface Method (I))

  • 우성현;정현구;신판석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.65-67
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    • 2008
  • An adaptive response surface method with Latin Hypercube sampling strategy is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and ($1+{\lambda}$) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using finite element method to set a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of PM poles for 6MW BLDC motor.

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RSM을 이용한 6MW BLDC용 영구자석의 형상 최적화 연구 (II) (A Permanent Magnet Pole Shape Optimization for a 6MW BLDC Motor by using Response Surface Method (II))

  • 우성현;정현구;신판석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.701-702
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    • 2008
  • An adaptive response surface method with Latin Hypercube sampling strategy is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and (1+${\lambda}$) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using finite element method to get a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of PM poles for 6 MW BLDC motor, and the cogging torque is reduced to 19% of the initial one.

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후보점과 대표점 교차검증에 의한 순차적 실험계획 (Candidate Points and Representative Cross-Validation Approach for Sequential Sampling)

  • 김승원;정재준;이태희
    • 대한기계학회논문집A
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    • 제31권1호
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    • pp.55-61
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    • 2007
  • Recently simulation model becomes an essential tool for analysis and design of a system but it is often expensive and time consuming as it becomes complicate to achieve reliable results. Therefore, high-fidelity simulation model needs to be replaced by an approximate model, the so-called metamodel. Metamodeling techniques include 3 components of sampling, metamodel and validation. Cross-validation approach has been proposed to provide sequnatially new sample point based on cross-validation error but it is very expensive because cross-validation must be evaluated at each stage. To enhance the cross-validation of metamodel, sequential sampling method using candidate points and representative cross-validation is proposed in this paper. The candidate and representative cross-validation approach of sequential sampling is illustrated for two-dimensional domain. To verify the performance of the suggested sampling technique, we compare the accuracy of the metamodels for various mathematical functions with that obtained by conventional sequential sampling strategies such as maximum distance, mean squared error, and maximum entropy sequential samplings. Through this research we team that the proposed approach is computationally inexpensive and provides good prediction performance.

크리깅 근사모델 기반의 중요도 추출법을 이용한 고장확률 계산 방안 (Failure Probability Calculation Method Using Kriging Metamodel-based Importance Sampling Method)

  • 이승규;김재훈
    • 대한기계학회논문집A
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    • 제41권5호
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    • pp.381-389
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    • 2017
  • 마르코프체인 시뮬레이션으로 추출한 점을 기반으로 커널 밀도함수를 구성하고 중요도 추출함수로 가정하였다. 크리깅 근사모델은 한계상태식 근방에서 상세히 구성되었다. 고장확률은 크리깅 근사모델에 대해 중요도 추출법을 수행하여 계산하였다. 커널 밀도함수가 한계상태식의 근방에서 더 많은 점을 추출할 수 있도록 기존의 방법을 개선하였다. 커널 밀도함수의 파라메터를 찾기 위한 안정적인 수치계산 방안이 제시된다. 크리깅 근사모델의 불확실성으로 인해 계산된 고장확률이 변경될 가능성을 계산하여, 크리깅 근사모델의 완성도를 평가하였다.

연속생산형(連續生産型)샘플링검사방식(檢査方式)의 선정(選定)에 관하여 (Continuous Sampling Plans Based on AFI Curve)

  • 배도선;장중순;엄주태
    • 대한산업공학회지
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    • 제8권2호
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    • pp.23-31
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    • 1982
  • A method of selecting parameters of Dodge-type continuous camping plans is proposed ; a sampling plan is designed so that its AFI curve passes through two designated points. AOQL contour lines are also drawn which can be used as a reference in choosing these points.

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A High Quality Mesh Generation for Surfaces in the Use of Interval Arithmetic

  • Kikuchi, Ryota;Makino, Mitsunori
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1153-1156
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    • 2002
  • In this parer, a high quality mesh generation method by using interval arithmetic is proposed. In the proposed method, the variance of a tangent vector at the point is considered by the automatic differentiation. From the variance, sampling points on the surface are judged whether it is adequate or not, which is calculated by the interval arithmetic. Then Delaunay triangulation is performed to the obtained sampling points, and a set of meshes is generated. The proposed method is hard to overlook the local variation of surfaces.

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A Random Sampling Method in Estimating the Mean Areal Precipitation Using Kriging

  • Lee, Sang-Il
    • Korean Journal of Hydrosciences
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    • 제5권
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    • pp.45-55
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    • 1994
  • A new method to estimate the mean areal precipitation using kriging is developed. Urlike the conventional approach, points for double and quadruple numerical integrations in the kriging equation are selected randomly, given the boundary of area of interest. This feature eliminates the conventional approach's necessity of dividing the area into subareas and calculating the center of each subarea, which in turn makes the developed method more powerful in the case of complex boundaries. The algorithm to select random points within an arbitrary boundary, based on the theory of complex variables, is described. The results of Monte Carlo simulation showed that the error associated with estimation using randomly selected points is inversely proportional to the square root of the number of sampling points.

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Comparison of two sampling intervals and three sampling intervals VSI charts for monitoring both means and variances

  • Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
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    • 제26권4호
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    • pp.997-1006
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    • 2015
  • In industrial quality control, when engineers use VSI control procedure they should consider both required time to signal and switching behaviors together in the case of production process changed. Up to the present, many researchers have studied fixed sampling interval (FSI) chart and variable sampling interval (VSI) chart in the points of average number of samples to signal (ANSS) and average time to signal (ATS). However, ANSS and ATS do not provide any switching information between different sampling intervals of VSI schemes. In this study, performances of two sampling intervals VSI chart and three sampling intervals VSI chart are evaluated and compared. The numerical results show that ANSS and ATS values of two sampling intervals VSI chart and three sampling interval VSI chart are similar regardless the amount of shifts. However, the values of switching behaviors including ANSW are less efficient in three sampling intervals VSI charts than in two sampling intervals VSI chart.

폐석면광산 주변 지역의 주택 침적먼지의 석면 검출과 석면폐증의 관련성 (Exposure Assessment and Asbestosis Pulmonum among Inhabitants near Abandoned Asbestos Mines Using Deposited Dust)

  • 안호기;양원호;황보영;이용진
    • 한국환경보건학회지
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    • 제41권6호
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    • pp.369-379
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    • 2015
  • Objectives: The lack of reliable information on environmental pollution and health impacts related to asbestos contamination from abandoned mines has drawn attention to the need for a community health study. This study was performed to evaluate asbestos-related health symptoms among residents near abandoned asbestos mines located in the Chungcheong Provinces. In addition, exposure assessment for asbestos is needed although the exposure to asbestos was in the past. Methods: Past exposure to asbestos among inhabitants near abandoned asbestos mines was estimated by using surface sampling of deposited dust in indoor and outdoor residences. A total of 54 participants were divided into two groups with (34 cases) and without (20 controls) diseases related to asbestos. Surface sampling of deposited dust was carried out in indoor and outdoor residences by collecting 105 samples. Deposited dust for sampling was analyzed by polarization microscope (PLM) and scanning electron microscope?energy dispersive x-ray spectrometer (SEM-EDX) to detect asbestos. Subsequently, the elements of the deposited dust with asbestos were analyzed by SEM-EDX to assess the contribution of sources such as abandoned mines, slate and soil. Results: Among the 105 samples, asbestos was detected by PLM in 29 (27.6%) sampling points, and detected by SEM in 56 (48.6%) sampling points. Asbestos in indoor residences was detected by PLM in four sampling points, and by SEM in 12 sampling points. Asbestos detection in indoor residences may be due to ventilation between indoors and outdoors, and indicates long-term exposure. The asbestos detection rate for outdoor residences in the case group was higher than that in the control group. This can be explained as the case group having had higher exposure to asbestos, and there has been continuous exposure to asbestos in the control group as well as the case group. Conclusion: Past residential asbestos exposure may be associated with asbestosis among local residents near abandoned asbestos mines. Odds ratios were calculated for asbestos detection in outdoor residence by logistic regression analysis. Odds ratio between asbestos detection and asbestosis pulmonum was 3.36 (95% CI 0.90-12.53) (p=0.072), adjusting for age, sex, smoking status and work history with multi-variable logistic regression by PLM analysis method.