• 제목/요약/키워드: Phase Estimation

검색결과 1,328건 처리시간 0.032초

목표물의 거리 및 특징점 불확실성 추정을 통한 매니퓰레이터의 영상기반 비주얼 서보잉 (Image-based Visual Servoing Through Range and Feature Point Uncertainty Estimation of a Target for a Manipulator)

  • 이상협;정성찬;홍영대;좌동경
    • 제어로봇시스템학회논문지
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    • 제22권6호
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    • pp.403-410
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    • 2016
  • This paper proposes a robust image-based visual servoing scheme using a nonlinear observer for a monocular eye-in-hand manipulator. The proposed control method is divided into a range estimation phase and a target-tracking phase. In the range estimation phase, the range from the camera to the target is estimated under the non-moving target condition to solve the uncertainty of an interaction matrix. Then, in the target-tracking phase, the feature point uncertainty caused by the unknown motion of the target is estimated and feature point errors converge sufficiently near to zero through compensation for the feature point uncertainty.

대표물량 기반의 도로공사 설계단계의 개략공사비 예측모델 (Quantity-based Early Cost Estimation Model for Road Construction Projects)

  • 김두연;김병일;여동훈;한승헌
    • 대한토목학회논문집
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    • 제29권3D호
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    • pp.373-379
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    • 2009
  • 건설 프로젝트에 있어 공사비 산정은 예산편성, 대안검토, 입찰, 공사수행 등의 각 단계에 따른 의사결정 과정의 주요한 근거가 된다. 이에 따라 사업 초기 단계에서 보다 정확한 사업비를 산정하기 위하여 다양한 방법들이 적용되어 왔으며, 여러 연구를 통해 각 단계의 특성에 적합한 예측 방법론이 필요하다는 문제인식이 이루어져 왔다. 도로공사의 경우, 특히 타당성 조사 및 설계 초기단계에서 기준의 부재 등으로 정확한 사업비 산정에 어려움이 있는 것으로 분석되었다. 본 연구는 이러한 노선결정 이전까지의 단계를 대상으로 설계 초기단계에 적합한 대표공종의 물량 예측에 기반한 공사비 산정체계를 제시하였다. 이를 위하여 87건의 실시 설계 데이터를 분석하여 대표공종을 도출하고, 전체를 토공, 배수공, 포장공, 기타공종으로 구분하여 각 공종별 특성에 기반한 예측모델을 제시하였다. 도출된 공사비 산정모델의 검증을 위하여 9건의 추가 데이터의 공사비 예측결과를 실시 설계 공사비와 비교하여 평균 8% 수준의 오차율을 얻었다. 현행 단위길이당 공사비 기준을 적용한 산정결과와 비교할 때, 본 연구모델의 활용을 통해 설계단계 개략공사비 산정업무의 정확성 및 신뢰성을 향상시킬 수 있는 결과를 제시하였다고 할 수 있다.

EFFICIENT REPLICATION VARIANCE ESTIMATION FOR TWO-PHASE SAMPLING

  • 김재광
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2002년도 추계 학술발표회 논문집
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    • pp.327-332
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    • 2002
  • Variance estimation for the regression estimator for a two-phase sample is investigated. A replication variance estimator with number of replicates equal to or slightly larger than the size of the second-phase sample is developed. In these cases, the proposed method is asymptotically equivalent to the full jackknife, but uses smaller number of replications.

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A Study on Phase Bearing Error using Phase Delay of Relative Phase Difference

  • Lee, Kwan Hyeong
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권2호
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    • pp.76-81
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    • 2021
  • This study proposes a method to reduce the phase error of the received signal to detect the object bearing. The phase shift of the received signal occurs due to the multipath of the signal by natural structure or artificial structures. When detecting the direction of the object using radio waves, the phase of the received signal cannot be accurately detected because of the phase bearing error in the object detection direction. The object detection direction estimation depends on the phase difference, antenna installation distance, signal source wavelength, frequency band and bearing angle. This study reduces the error of the phase bearing by using the phase delay of the relative phase difference for the signals incident on the two antennas. Through simulation, we analyzed the object direction detection performance of the proposed method and the existing method. Three targets are detected from the [-15°, 0°, 15°] direction. The existing method detects the target at [-13°, 3°, 17°], and the proposed method detects the at [-15°, 0°, 15°]. As a result of the simulation, the target detection direction of the proposed method is improved by 2 degrees compared to the existing method.

물류예측모형에 관한 연구 -수도권 물동량 예측을 중심으로- (A Study on Change of Logistics in the region of Seoul, Incheon, Kyunggi)

  • 노경호
    • 경영과정보연구
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    • 제7권
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    • pp.427-450
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    • 2001
  • This research suggests the estimation methodology of Logistics. This paper elucidates the main problems associated with estimation in the regression model. We review the methods for estimating the parameters in the model and introduce a modified procedure in which all models are fitted and combined to construct a combination of estimates. The resulting estimators are found to be as efficient as the maximum likelihood (ML) estimators in various cases. Our method requires more computations but has an advantage for large data sets. Also, it enables to detect particular features in the data structure. Examples of real data are used to illustrate the properties of the estimators. The backgrounds of estimation of logistic regression model is the increasing logistic environment importance today. In the first phase, we conduct an exploratory study to discuss 9 independent variables. In the second phase, we try to find the fittest logistic regression model. In the third phase, we calculate the logistic estimation using logistic regression model. The parameters of logistic regression model were estimated using ordinary least squares regression. The standard assumptions of OLS estimation were tested. The calculated value of the F-statistics for the logistic regression model is significant at the 5% level. The logistic regression model also explains a significant amount of variance in the dependent variable. The parameter estimates of the logistic regression model with t-statistics in parentheses are presented in Table. The object of this paper is to find the best logistic regression model to estimate the comparative accurate logistics.

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A Note on Complex Two-Phase Sampling with Different Sampling Units of Each Phase

  • Lee, Sang Eun;Jin, Young;Shin, Key-Il
    • Communications for Statistical Applications and Methods
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    • 제22권5호
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    • pp.435-443
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    • 2015
  • Two phase sampling design is useful to increase estimation efficiency using deep stratification, improved non-response adjustment and reduced coverage bias. The same sampling units are commonly used for the first and the second phases in complex two-phase sampling design. In this paper we consider a sampling scheme where the first phase sampling units are clusters and the second phase sampling units are list samples. Using selected clusters in first phase requires that we list up elements in the selected clusters from the first phase and then use the list as a secondary sampling frame for the second phase sampling design. Then we select second phase samples from the listed sampling frame. We suggest an estimator based on the complex two-phase sampling design with different sampling units of each phase. Also the estimated variances of the estimator obtained by using classic and replication variance methods are considered and compared using simulation studies. For real data analysis, 2010 Korea Farm Household Economy Survey (KFHES) and 2011 Korea Agriculture Survey (KAS) are used.

디지털 통신 시스템에서 주파수 옵셋과 반송파 위상의 간단한 동시 추정 알고리듬 (Low-Complexity Joint Estimation Algorithms of Frequency Offset and Carrier Phase for Digital Communication Systems)

  • 홍대기;강성진;주민철;김용성;조진웅
    • 한국통신학회논문지
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    • 제29권11C호
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    • pp.1581-1591
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    • 2004
  • 본 논문에서는 주파수 옵셋 및 반송파 위상을 간단히 동시에 추정하기 위한 세 가지 알고리듬(low-complexity joint estimation algorithms : LJEAs)을 제안한다. 제안된 LJEA들의 핵심은 수신 신호의 주파수 및 위상 스펙트럼에서 주엽(main lobe)의 상관값을 이용하여 내분점을 기초로 보간한 후 주파수 옵셋 및 반송파 위상을 추정하되 주파수 옵셋을 먼저 추정하고 추정된 주파수 옵셋을 이용하여 반송파 위상을 동시에 추정하는 것이다. 제안된 LJEA들은 추정 범위( f$_{d}$${\times}$T$_{s}$ )가 1/2N$_{s}$ 혹은 1/N$_{s}$ 보다 작으며 이는 기존 알고리듬의 추정 범위와 비슷하다. 그러나 LJEA들은 오직 2N$_{s}$ 또는 4N$_{s}$ 의 복소 곱셈만이 필요하므로 기존 알고리듬에 비해서 매우 간단하다. 그럼에도 불구하고 LfEA들의 추정 성능은 기존 알고리듬의 성능보다도 우수함을 알 수 있다. 제안된 LJEA들은 위성 통신 시스템과 같은 버스트 모드 디지털 전송을 하는 시스템에서 주파수 옵셋 및 반송파 위상을 동시에 추정하기 위해 사용될 수 있다.

마이크로캡슐 잠열 축열재 혼합수의 열물성에 관한 연구 (A Study on Thermo-Physical Properties of Microencapsulated Phase Change Material Slurry)

  • 임재근;최순열;김명준
    • Journal of Advanced Marine Engineering and Technology
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    • 제28권6호
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    • pp.962-971
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    • 2004
  • This paper has dealt with thermo-physical properties of microencapsulated phase change material slurry as a latent heat storage material having a low melting point. The measured results of the thermo-physical properties of the test microencapsulated phase change material slurry, those are, density, specific heat, thermal conductivity and viscosity, were discussed for the temperature region of solid and liquid phases of the dispersion material (paraffin). The measurements of these properties of microencapsulated phase change material slurry have been carried out by using a specific-gravity meter, a water calorimeter, a differential scanning calorimeter(DSC), a transient hot wire method and rotating type viscometer, respectively. It was clarified that the additional properties law could be applied to the estimation of the density and specific heat of microencapsulated phase change material slurry and also the Euckens equation could be applied to the estimation of the thermal conductivity of this slurry.

Gyroless Attitude Estimation of the Sun-Pointing Mode Satellite

  • Ahn, Hyo-Sung;Lee, Seon-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.876-881
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    • 2003
  • Reliable attitude estimation during the launch and early orbit phase is a critical issue for a satellite. Typically gyroscopes and other sensors are utilized to estimate the attitude during this phase. It is difficult to estimate the attitude quickly and reliably using gyroscopes because it requires a large computational load and accurate sensor measurements. Furthermore, the gyroscope failure may lead to the loss of the satellite. This paper suggests a simple attitude estimation method of a low earth orbit satellite without using gyroscopes, but only using sun sensors and magnetometers in the sun-acquisition mode. Using Kompsat-I telemetry data, we verified that the suggested algorithm provides attitude estimation within 3 degrees on each axis.

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A Neutral-Voltage-Compensated Sensorless Control of Brushless DC Motor

  • Won, Chang-Hee;Song, Joong-Ho;Ick Choy;Lim, Myo-Taeg
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제3B권1호
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    • pp.59-64
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    • 2003
  • This paper presents a new rotor position estimation method for brushless DC motors. The estimation error of the rotor position clearly provokes the phase shift angle misaligned between the phase current and the back-EMF waveforms, which causes torque ripple in brushless DC motor drives. Such an estimation error can be reduced with the help of the proposed neutral-voltage-based estimation method, which is structured as a closed loop observer. A neutral voltage appearing during the normal mode of the inverter operation is found to be an observable and control table measure, which can be used for estimating an exact rotor position. This neutral voltage is obtained from the DC-link current, the switching logic, and the motor speed values. The proposed algorithm, which can be easily implemented by using a single DC-link current and the motor terminal voltage sensors, is verified by simulation and experiment results.