• 대한수학회지
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• 제32권1호
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• pp.17-31
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• 1995

A Lorentzian para-Sasakian manifold M$(\varphi, \zeta, \eta, g)$ (abr. LPS-manifold) has been defined and studied in [9] and [10]. On the other hand, para-Sasakian (abr. PS)-manifolds are special semi-cosympletic manifolds (in the sense of [2]), that is, they are endowed with an almost cosympletic 2-form $\Omega$ such that $d^{2\eta}\Omega = \psi(d^\omega$ denotes the cohomological operator [6]), where the 3-form $\psi$ is the associated Lefebvre form of $\Omega$ ([8]). If $\eta$ is exact, $\psi$ is a $d^{2\eta}$-exact form, the manifold M is called an exact Ps-manifold. Clearly, any LPS-manifold is endowed with a semi-cosymplectic structure (abr. SC-structure).

• Communications for Statistical Applications and Methods
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• 제12권1호
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• pp.71-86
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• 2005

Testing for normality has always been an important part of statistical methodology. In this paper a test statistic for multivariate normality is proposed. The underlying idea is to investigate all the possible linear combinations that reduce to the standard normal distribution under the null hypothesis and compare the order statistics of them with the theoretical normal quantiles. The suggested statistic is invariant with respect to nonsingular matrix multiplication and vector addition. We show that the limit distribution of an approximation to the suggested statistic is representable as the supremum over an index set of the integral of a suitable Gaussian process.

• The Journal of the Acoustical Society of Korea
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• 제17권4E호
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• pp.3-10
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• 1998

This paper concerns the dynamical behavior, in probabilistic sense, of a feedforward neural network performing auto association for novelty. Networks of retinotopic topology having a one-to-one correspondence between and output units can be readily trained using back-propagation algorithm, to perform autoassociative mappings. A novelty filter is obtained by subtracting the network output from the input vector. Then the presentation of a "familiar" pattern tends to evoke a null response ; but any anomalous component is enhanced. Such a behavior exhibits a promising feature for enhancement of weak signals in additive noise. As an analysis of the novelty filtering, this paper shows that the probability density function of the weigh converges to Gaussian when the input time series is statistically characterized by nonsymmetrical probability density functions. After output units are locally linearized, the recursive relation for updating the weight of the neural network is converted into a first-order random differential equation. Based on this equation it is shown that the probability density function of the weight satisfies the Fokker-Planck equation. By solving the Fokker-Planck equation, it is found that the weight is Gaussian distributed with time dependent mean and variance.

• 통상정보연구
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• 제10권3호
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• pp.459-474
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• 2008

Under violent competition to secure international raw materials, safe supply and demand of crude oil that only relies on import among main raw materials is an important task for Korean economic development. Therefore, this study aims to analyze the impact of price change of international crude oil on merchandise balance. It also presents political suggestions in preparation for national economic development and safety and develops an organized and long-term overseas resources development program. As the time-series data which had the 1st difference contribute to dismissal of the null hypothesis successfully, we carry out a multivariate cointegration test developed by Johansen (1988) and find that at least one cointegration vector exists. And, when Impulse Response Function is introduced, as the crude oil import price shows a negative impact from Step 2, then an extreme change, a positive impact since Step 13, is maintained and a safe result appears.

• 전기의세계
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• 제22권3호
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• pp.35-48
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• 1973

This paper deals with wave propagations in solid state electron plasmas from the view point of treating the plasma as a conducting fluid, and especially consideration is extended to the effect of diffusion on the permittivities and dispersion relations. The analysis is based on the conception of the self-consistent field approximation. It is shown for the cases of the specific physical configurations that the positions of the null elements in the permittivity tensors are not affected by the diffusion terms, and the diffusion effect appears only in the case of the space-charge wave. It is also shown that the magnitude of the real part of wave vector is in proportion to the 3/2nds power of the field in some regions.

• 한국통신학회논문지
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• 제27권6B호
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• pp.629-637
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• 2002

RLS 알고리즘은 스마트 안테나에서 가중치 벡터를 갱신하기 위한 적응형 배열 안테나 알고리즘으로서 배열안테나 출력신호와 송신기에서 보내주는 학습 신호열의 차를 이용한다. 본 논문에서 제안된 알고리즘은 RLS 알고리즘을 기반으로 하고 블라인드 적응형 알고리즘 방법을 응용하여 구한 참조신호를 사용하여 오류신호를 구하였다. 그리고 모의실험을 통해 제안된 알고리즘이 기존의 블라인드 적응형 알고리즘(LS-DRMTA, LS-DRMTCMA)보다 BER 기준에서 사용자 수용비율이 67∼74%정도 향상 되었음을 확인하였고 빔패턴을 도시하여, 빔이 원하는 신호와 간섭신호에 올바르게 형성하는지 알아보았다

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1586-1589
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• 2002

RLS algorithm is a kind of the adaptive algorithms in smart antennas and adapts the weight vector using the difference between the output signal of array antennas and the known training sequence. In this paper, we propose a new algorithm based on the RLS algorithm. It calculates the error signal with reference signal derived from blind scheme. Simulation results show that the proposed algorithm yields more user capacity by 67∼74% than other blind adaptive algorithms(LS-DRMTA, LS-DRMTCMA) at the same BER and the beamformer forms null beams toward interference signals and the main beam toward desired signal.

• Industrial Engineering and Management Systems
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• 제15권4호
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• pp.432-445
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• 2016

A random profile is the result of a process, the output of which is a function instead of a scalar or vector quantity. In the nature of these objects, two main dimensions of "functionality" and "randomness" can be recognized. Valuable researches have been conducted to present control charts for monitoring such processes in which a regression approach has been applied by focusing on "randomness" of profiles. Performing other statistical techniques such as hypothesis testing for different parameters, comparing parameters of two populations, ANOVA, DOE, etc. has been postponed thus far, because the "functional" nature of profiles is ignored. In this paper, first, some needed theorems are proven with an applied approach, so that be understandable for an engineer which is unfamiliar with advanced mathematical analysis. Then, as an application of that, a statistical test is designed for mean of continuous random profiles. Finally, using experimental operating characteristic curves obtained in computer simulation, it is demonstrated that the presented tests are properly able to recognize deviations in the null hypothesis.

• 대한약학회:학술대회논문집
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• 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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• pp.291.2-291.2
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• 2002

For the safety evaluation of adenovirus-mediated gene therapy. we have investigated gene and protein expression after transduction of adenoviral vector (Ad5CMV-p16) which contains tumor suppressor gene. p161NK4$\alpha$ in human non-small cell lung cancer (A549) cells. We compared the differential gene expression level in the A549 cells treated with Ad5CMV (null type) and Ad5CMV-p16 virus. respectively. by using cDNA membrane chip and oligonucleotide chip. (omitted)

• 전자공학회논문지
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• 제49권9호
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• pp.155-163
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• 2012

기하학적 오차와 전기적 오차는 배열센서 시스템의 성능을 심각하게 저하할 수 있다. 이러한 문제를 완화시키기 위해 다양한 보정 기술이 개발되었다. 본 논문에서는 배열센서의 위치오차, 이득오차, 위상오차를 보상하는 두 가지 기술을 비교하였다. 그 중 하나의 방법은 1차 테일러급수 전개를 통해 배열센서의 명목상 값으로부터 실제 조향 벡터를 예측한 후 MUSIC 알고리즘의 null 특성을 이용하여 형성되는 몇 가지 식을 이용하여 센서의 실제 위치, 이득, 위상을 추정한다. 또 다른 하나의 방법은 기준신호원의 공분산 행렬을 이용하여 이러한 오차들을 예측한다. 시뮬레이션을 통해 두 가지 보정기술 모두 성공적으로 오차를 보정하였고, 10dB~50dB SNR 범위에서 Fistas and Manikas의 알고리즘이 Ng and Lie의 알고리즘 보다 노이즈에 더 강건하다는 것을 증명하였다.