• Journal of applied mathematics & informatics
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• 제12권1_2호
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• pp.107-117
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• 2003

We study the integration problem in which one wants to compute the approximation to the definite integral in the average case setting. We choose the composite Newton- Cotes quadratures as our algorithm and the function values at equally spaced sample points on the given interval［0, 1］as information. We compute the average case error of composite Newton-Cotes quadratures and show that it is minimal (modulo a multi-plicative constant).

• 한국자기학회:학술대회 개요집
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• 한국자기학회 1997년도 추계연구발표회 논문개요집
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• pp.96-97
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• 1997

• ETRI Journal
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• 제32권3호
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• pp.464-467
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• 2010

In this letter, we analyze the error performance of a mobile communication system with microdiversity and macrodiversity reception in gamma-shadowed Rician fading channels for a binary differential phase-shift keying modulation scheme. Analytical expressions for the probability density function (PDF) and moment-generating function (MGF) are derived. The average bit error probability can be calculated by averaging the conditional bit error probability over the PDF or using the MGF-based approach. Numerical results are graphically presented to show the effects of macrodiversity, correlation, number of diversity branches, and severity of both fading and shadowing.

• 호남수학학술지
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• 제30권3호
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• pp.581-587
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• 2008

In this paper, to have a better a posteriori error bound of the average case error between the true value of I(f) and the Trapezoidal rule on subintervals using zero mean-Gaussian, we prove that a new average error between the difference of the true value of I(f) from the composite Trapezoidal rule and that of the composite Trapezoidal rule from the simple Trapezoidal rule is bounded by $c_rH^{2r+3}$ through direct computation of constants $c_r$ for r ${\leq}$ 2 under the assumption that we have subintervals (for simplicity equal length h) partitioning [0, 1].

• 사상체질의학회지
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• 제18권2호
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• pp.34-40
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• 2006

1. Objectives We are going to develope 3D Face Recognition Apparatus to analyse the facial characteristics of the Sasangin. In the process, we should identify the recognition rate of the three dimensional position using this Apparatus. 2. Methods We took a photograph of calibrator($280{\times}400mm$) with interval of 20mm longitudinal direction of 10 times using 3D Face Recognition Apparatus. In the practice, we obtained 967 point to the exclusion of points deviating from the visual field of dual camera. And we made a comparison between measurement values and three dimensional standard values to calculate the errors. 3. Results and Conclusions In this test, the average error rate of X axis values was 0.019% and the maximum error rate of X axis values was 0.033%, the average error rate of Y axis values was 0.025% and the maximum error rate of Y axis values was 0.044%, the average error rate of Z axis values was 0.158% and the maximum error rate of Z axis values was 0.269%. This results exhibit much improvement upon the average error rate 1% and the maximum error rate 2.242% of the existing 3D Recognition Apparatus. In conclusion, we assessed that this apparatus was adaptable to abstract the facial characteristic point from three dimensional face shape in the mechanical aspects.

• 조명전기설비학회논문지
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• 제25권12호
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• pp.67-73
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• 2011

A method obtaining position data(x, y) of object accurately is proposed by using a pair of ultrasonic sensors composed of one transmitter and two receivers. And the driving system which controls the light of flat LED lamp locally using array of ultrasonic sensors (3 transmitters and 6 receivers) is developed. As a result, measured values of y are relatively reliable due to its small average of absolute errors of 1.03[cm]. The measured values of x have average error of 8.52[cm], and it is a large value. However, the average error is decreased by 0.65[cm] after applying algorithm for error correction. The experiments to control the light of flat LED lamp locally with algorithm for error correction are carried out. From the result, measured values of x with average error of 0.97[cm] are obtained and they are very good approximations of actual values.

• ETRI Journal
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• 제28권6호
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• pp.793-795
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• 2006

When quadrature error exists, the shape of the M-ary phase shift keying (MPSK) signal constellation becomes skewed-elliptic. Each MPSK symbol takes on a different symbol error probability (SEP) value. The analytical results presented thus far have been derived from studies which examined the SEP problem assuming that the SEP of each MPSK symbol is equally likely; therefore, those results should not be treated as offering a complete solution. In this letter, we present a new and more complete solution to the SEP problem of MPSK by relaxing the above assumption and finding the expressions for the average as well as individual SEP in the presence of quadrature error.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.179-183
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• 2000

This paper is concerned with achieving the high motion accuracy of linear motion bearing guide according to estimate accuracy average effect of bearing. Accuracy average effect can be obtained b analysis the relationship between motion error of the table and spatial frequency of the rail form error. And influences of ball diameter, ball number, and clock length on block motion error and block number on the table motion error are analyzed theoretically. In addition to, a simple experiment is performed in order to verify theoretical result.

• 한국통신학회논문지
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• 제18권10호
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• pp.1598-1605
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• 1993

본 논문에서는 이동통신 시스템을 분석할때 이론적 해석을 간단히 하기위하여 이상적이라고 가정하였던 수신대역 통과 필터의 진폭 및 위상 특성에 의한 신호의 왜곡과 데이타 샘플링 타이밍오차에 의한 성능저하를 분석하였다. 잘 알려진 심볼간 간섭이론을 이용하면 시스템 오율의 상한(Upper bound)만을 알 수 있다. 따라서, 평균 오율을 계산하기위하여 평균 심볼간 간섭량을 계산하고 이로부터 평균 오율을 계산하는 방법을 제안하였다. 제안한 방법은 컴퓨터 시뮬레이션에 의하여 평균 오율을 계산할 수 있을뿐만 아니라 측정 한 간섭 량을 대 입 하여도 오율을 알 수 있으므로 실험실에 서 쉽게 이용이 가능하다.

• 대한전자공학회논문지TC
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• 제41권8호
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• pp.63-68
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• 2004

채널 추정 오차가 존재하는 상황에서 MIMO 시스템의 채널 용량을 수식적으로 분석한다. 수식적인 분석에 의해, 채널 용량은 평균 신호 대 잡음비 (SNR) 와 함께 채널 추정 오차 (MSE)에 영향을 받음을 알 수 있다. 또한 본 논문에서는 평균 SNR 과 채널 용량의 손실량이 제한되어 있을 경우, 허용가능한 채널 추정 오차를 구함으로써 주어진 시스템에 적합한 채널 추정기법을 선택하는 기준을 제시한다. 실험 결과로부터 1 bps/Hz 채널용량의 손실에 대해 허용 가능한 채널 추정 오차는 20dB와 40dB의 평균 신호 대 잡음비에서 각각 10/sup -2/와 10/sup -4/임을 확인 할 수 있다.