• Journal of the Korean Data and Information Science Society
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• 제11권2호
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• pp.335-345
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• 2000

Most context use the classical norms on function spaces as the error criteria. Since these norms are all based on the vertical distances between the curves, these can be quite inappropriate from a visual notion of distance. Visual errors in Marron and Tsybakov(1995) correspond more closely to "what the eye sees". Simulation is performed to compare the performance of the regression smoothers in view of MISE and the visual error. It shows that the visual error can be used as a possible candidate of error criteria in the kernel regression estimation.

• 한국자동차공학회논문집
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• 제22권1호
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• pp.95-102
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• 2014

This paper presents zero crossing point(ZCP) estimation methods considering discretization error for a high speed brushless DC(BLDC) motor drive. The ZCP is estimated by detecting the change of back-EMF polarity for the BLDC sensorless drive, and the discretization error exist on the estimated ZCP. The discretization error of the ZCP is a cause of the delay of a commutation timing of current and increment of a current ripple factor. Besides a delay of a ZCP estimation brings on the limitation of a speed range for the BLDC sensorless drive. The compensation method based on the error analysis with probability theory for reducing the effects of the discretization error of the ZCP is proposed. Also a ZCP estimation method according to the Back-EMF patterns is proposed to widen the speed range for the BLDC sensorless drive. The proposed methods are verified by the experiment.

• 대한전자공학회논문지SP
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• 제39권2호
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• pp.147-154
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• 2002

본 논문에서는 multimodal 특성을 갖는 데이터에 대하여 패턴 분류 시 Bhattacharyya distance에 기반한 에러 예측 기법을 제안한다. 제안한 방법은 multimodal 데이터에 대하여 분류 에러와 Bhattacharyya distance를 각각 실험적으로 구하고 이 둘 사이의 관계를 유추하여 에러의 예측 가능성을 조사한다. 본 논문에서는 분류 에러 및 Bhattacharyya distance를 구하기 위하여 multimodal 데이터의 확률 밀도 함수를 정규 분포 특성을 갖는 부클래스들의 조합으로 추정한다. 원격 탐사 데이터를 이용하여 실험한 결과, multimodal 데이터의 분류 에러와 Bhattacharyya distance 사이에 밀접한 관련이 있음이 확인되었으며, Bhattacharyya distance를 이용한 에러 예측 가능성을 보여주었다.

• 한국안전학회지
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• 제21권3호
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• pp.137-142
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• 2006

Quantification of error possibility, in an HRA process, should be performed so that the result of the qualitative analysis can be utilized in other areas in conjunction with overall safety estimation results. And also, the quantification is an essential process to analyze the error possibility in detail and to obtain countermeasures for the errors through screening procedures. In previous studies for the quantification of error possibility, nominal values were assigned by the experts' judgements and utilized as corresponding probabilities. The values assigned by experts' experiences and judgements, however, require verifications on their reliability. In this study, the validity of new error possibility values in new MCR design was verified by using the Onisawa's model which utilizes fuzzy linguistic values to estimate human error probabilities. With the model of error probabilities are represented as analyst's estimations and natural language expression instead of numerical values. As results, the experts' estimation values about error probabilities are well agreed to the existing error probability estimation model. Thus, it was concluded that the occurrence probabilities of errors derived from the human error analysis process can be assessed by nominal values suggested in the previous studies. It is also expected that our analysis method can supplement the conventional HRA method because the nominal values are based on the consideration of various influencing factors such as PSFs.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.95-101
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• 2020

We studied the Implementation and design of inertial sensor that enables to improve performance by reduce the noise of rotor which Angle of inclination. Analyze model equation including motion equation and error, signal processing filter algorithm on high frequency bandwidth with eliminates error using estimation of error coefficient method is was designed and the prototype inertial sensor showed the pick off noise up to 0.2 mV and bias error performance of about 0.06 deg/hr by the experiments. Accordingly, we confirmed that the design of inertial sensor was valid for high rotation.

• Journal of Positioning, Navigation, and Timing
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• 제12권2호
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• pp.157-166
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• 2023

Several experiments were carried out to analyze the impact of the modernized Global Positioning System (GPS) L2C signal on pseudorange-based point positioning. Three dual-frequency positioning algorithms, ionosphere-free linear combination, ionospheric error estimation, and simple integration, were used, and the results were compared with those of Standard Point Positioning (SPP). An analysis was conducted to determine the characteristics of each dual-frequency positioning method, the impact of the magnitude of ionospheric error, and receiver grade. Ionosphere-free and ionospheric error estimation methods can provide improved positioning accuracy relative to SPP because they are able to significantly reduce the ionospheric error. However, this result was possible only when the ionospheric error reduction effect was greater than the disadvantage of these dual-frequency positioning algorithms such as the increment of multipath and noise, impact of uncertainty of unknown parameter estimation. The RMSE of the simple integration algorithm was larger than that of SPP, because of the remaining ionospheric error. Even though the receiver grade was different, similar results were observed.

• 응용통계연구
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• 제22권2호
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• pp.403-414
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• 2009

국내외적으로 지역통계에 관한 관심이 높아지고 있으며 이와 관련하여 소지역 추정에 관한 많은 연구가 진행되고 있다. 소지역 추정에 사용되는 추정량의 대부분은 MSE(moan squared error)를 최소화하여 얻어진다 (Rao, 2003). 최근 황희진과 신기일 (2008)은 MSPE(mean squared percentage error)를 최소화하는 추정량을 사용한 소지역 추정법을 제안하였다. 본 논문에서는 노동통계 중 지청별 일인당 평균 임금총액 추정에 황희진과 신기일 (2008)이 제안한 방법을 적용하여 보았으며 2007년 매월 노동통계 자료를 이용하여 기존의 MSE를 최소화 하여 얻어진 여러 추정량과 우수성을 비교해 보았다. 또한 노동통계를 위 한 소지역 추정의 실제 사용 가능성을 살펴보았다.

• 대한전자공학회논문지TC
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• 제45권8호
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• pp.91-97
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• 2008

기존 WF(water-filling)-MIMO 시스템은 수신단에서 채널정보를 정확히 추정한다고 가정한다. 그러나, 일반적으로 정확한 채널 정보를 수신단에서 추정할 수 없기 때문에, 시스템에 채널 추정 오차를 고려해야 한다. 그래서 본 논문에서는 채널 추정 오차를 고려하여 WF-MIMO 시스템의 성능을 수식적으로 분석하였다. 이러한 분석 결과, 평균 오차 제곱이 $10^{-4}$ 이하인 경우, 정확한 채널 추정이 이루어졌을 때와 동일한 시스템 성능을 갖게 됨을 확인할 수 있다.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.63-70
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• 2014

Method a target estimation in spatial are mobile wireless communication using network cell and GPS. It have much error that mobile wireless communication depend on cell size. GPS method can't find a target in shadow and inner area. In this paper, we estimate a target as direction of arrival method using adaptive array antenna system. Adaptive array antenna system can obtain desired signal to remove other signal This paper studied digital beamforming method in order to estimation a target. Proposed method is modified optimum weight and antenna error correction to estimation an optimal receive signal. Digital beamforming method decided a signal phase and amplitude from received signal on array antenna element. But if it is not to do error correction of received signal, system performance have decreased. Firstly, we proposed modified optimum weight in order to finding desired target. Secondly, we are error correction of antenna incident signals by optimal weight before digital beamforming method. Thirdly, throughly simulation, we showed that system performance of proposed method compare proposal method with general method. It have improved resolution of estimation target to good performance more proposed method than general method.

• 한국항행학회논문지
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• 제28권2호
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• pp.172-177
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• 2024

본 논문은 레이다로 다중경로 상황에서 고각 추정을 할 때 고각 추정 오차가 커지는 문제를 극복하기 위한 방법을 제시하였다. 다중경로 상황 이란, 동일한 표적에서 반사된 레이다의 수신신호가 여러경로에서 오는 것을 의미한다. 다중경로 상황이 아닐 때는 모노펄스 방식이 정확하고, 그 반대 상황이면 최소 제곱 오차 추정 방식이 정확하다. 다중경로 상황이면서 고각이 매우 낮을 경우, 최소 제곱 오차 추정이 발산하는 특이 경우가 발생한다. 이 특이경우를 전파 인자 기반으로 판별하여, 모노펄스와 최소 제곱 오차 추정 방식을 선택적으로 운용했다. 그 결과, 고각 추정의 정확도를 높이는 데 성공했다. 본 논문에서 제안한 방법을 검증하기 위하여 매트랩 시뮬레이션을 수행했다.