• KSBB Journal
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• 제16권4호
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• pp.381-388
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• 2001

A program for integrated gene expression profile analysis such as hierarchical clustering, K-means, fuzzy c-means, self-organizing map(SOM), principal component analysis(PCA), and singular value decomposition(SVD) was made for DNA chip data anlysis by using Matlab. It also contained the normalization method of gene expression input data. The integrated data anlysis program could be effectively used in DNA chip data analysis and help researchers to get more comprehensive analysis view on gene expression data of their own.

• Bulletin of the Korean Chemical Society
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• 제24권7호
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• pp.971-974
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• 2003

By utilizing singular value decomposition (SVD) and shift averaged Harr wavelet transform (WT) with a set of Daubechies wavelet coefficients (1/2, -1/2), a method that can simultaneously eliminate an unwanted large solvent peak and noise peaks from NMR data has been developed. Noise elimination was accomplished by shift-averaging the time domain NMR data after a large solvent peak was suppressed by SVD. The algorithms took advantage of the WT, giving excellent results for the noise elimination in the Gaussian type NMR spectral lines of NMR data pretreated with SVD, providing superb results in the adjustment of phase and magnitude of the spectrum. SVD and shift averaged Haar wavelet methods were quantitatively evaluated in terms of threshold values and signal to noise (S/N) ratio values.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (2)
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• pp.125-127
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• 2000

협력적 여과는 사용자의 아이템에 대한 단계적 평가에 기초하여 그 평가 패턴이 유사한 사용자를 찾아 그 사용자들이 선호한 아이템을 상대방에게 교차 추천을 해주는 방법이다. 따라서, 유사한 사용자를 찾는 방법이 중요한 문제가 되며, 현재까지 여러 가지 방법들이 제안되어 왔다. 순수한 협력적 여과 방법은 n차원 공간에서 사용자를 모델링하여 가장 유사한 이웃을 찾는다. 이러한 모델링의 문제점은 사용자가 평가한 아이템의 집합은 전체 아이템의 집합에 비해서 극히 작으므로 유사한 사용자를 찾기 위해서는 충분한 수의 아이템에 대해서 평가해야 한다는 것이다. 따라서, 본 논문에서는 유사란 사용자를 찾기 위해서 충분한 수의 평가를 요구하는 명백하게 사용자의 평가를 비교하는 것 대신에 특징 가중치에 초하여 사용자를 비교하는 방법을 사용하고 사용하는 방법의 정확성을 높일 수 있는 임계값을 제안하고자 한다.

• ETRI Journal
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• 제43권1호
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• pp.152-162
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• 2021

In the last few years, detection has become a powerful methodology for network protection and security. This paper presents a new detection scheme for data recorded over a computer network. This approach is applicable to the broad scientific field of information security, including intrusion detection and prevention. The proposed method employs bidimensional (time-frequency) data representations of the forms of the short-time Fourier transform, as well as the Wigner distribution. Moreover, the method applies matrix factorization using singular value decomposition and principal component analysis of the two-dimensional data representation matrices to detect intrusions. The current scheme was evaluated using numerous tests on network activities, which were recorded and presented in the KDD-NSL and UNSW-NB15 datasets. The efficiency and robustness of the technique have been experimentally proved.

• Journal of the Institute of Electronics Engineers of Korea SC
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• 제41권4호
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• pp.29-37
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• 2004

This paper provides a reliable H$_{\infty}$ state feedback controller design method for delayed singular systems with actuator failures occurred within the prescribed subset. The sufficient condition for the existence of a reliable H$_{\infty}$ controller and the controller design method are presented by linear matrix inequality(LMI), singular value decomposition, Schur complements, and changes of variables. The proposed controller guarantees not only asymptotic stability but also H$_{\infty}$ norm bound in spite of existence of actuator failures. Since the obtained sufficient condition can be expressed as an LMI fen all variables can be calculated simultaneously. Moreover, the controller design method can be extended to the problem of robust reliable H$_{\infty}$ controller design method for singular systems with parameter uncertainties, time-varying delay, and actuator failures. A numerical example is given to illustrate the validity of the result.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.321-322
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• 2009

본 논문에서는 문서분류를 위하여 SVD(Singular Value Decomposition)을 이용한 효율적인 특징 선택 방법을 제안한다. 분류기 알고리즘은 문서를 효과적으로 분류할 수 있지만 분류기에 입력되는 특징공간이 너무 크다는 단점이 있다. SVD를 이용하면 입력 데이터의 차원을 줄여줄 수 있으며 문서와 문서 사이의 관계성을 내포하는 벡터공간을 만들 수 있다. 따라서 SVD를 이용하면 문서분류의 시간과 효율을 동시에 증가시킬 수 있다. 본 논문에서는 실험을 통하여 SVD을 이용한 문서분류 시스템이 입력데이터에 대한 차원을 감소시키면서 훌륭한 분류 결과를 얻을 수 있음을 보여준다.

• Proceedings of the KIEE Conference
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• 대한전기학회 1979년도 하계 전자.전기연합학술발표회논문집
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• pp.151-152
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• 1979

• Journal of Broadcast Engineering
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• 제13권3호
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• pp.289-298
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• 2008

We propose an SNR-scalable coding algorithm for three-dimensional mesh sequences based on singular value decomposition (SVD). SVD achieves a coding gain by representing a mesh sequence with a small number of basis vectors and singular values. First, we introduce a bit plane coding scheme and derive a quantitative relationship between each bit plane and the reconstructed image quality. Using the relationship, we develop a rate-distortion (RD) optimized coding algorithm. Moreover, we propose prediction techniques to exploit the spatio-temporal correlations in real mesh sequences. Simulation results demonstrate that the proposed algorithm provides significantly better RD performance than conventional SVD coders.

• Journal of the Korea Society of Computer and Information
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• 제19권9호
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• pp.21-31
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• 2014

Singular value decomposition (SVD) has been widely used to identify unique features from a data set in various fields. However, a complex matrix calculation of SVD requires tremendous computation time. This paper improves the performance of a representative one-sided block Jacoby algorithm using a two-dimensional (2D) multi-core system. In addition, this paper explores an optimal multi-core system by varying the number of processing elements in the 2D multi-core system with the same 400MHz clock frequency and TSMC 28nm technology for each matrix-based one-sided block Jacoby algorithm ($128{\times}128$, $64{\times}64$, $32{\times}32$, $16{\times}16$). Moreover, this paper demonstrates the potential of the 2D multi-core system for the one-sided block Jacoby algorithm by comparing the performance of the multi-core system with a commercial high-performance graphics processing unit (GPU).

• Journal of the Korean Magnetics Society
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• 제18권6호
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• pp.221-224
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• 2008

This paper describes the equivalent dipole modeling method utilizing a singular value decomposition technique from analysis data by the FNREMUS Detailled Modeller software based on BEM which can predict the underwater electric field signal due to a galvanic corrosion phenomenon on a naval vessel. The proposed dipole modeling method was successfully verified in good agreement with predicted BEM data at 30 m depths through the comparison of average differences. The proposed dipole modelling method can be effectively used in the prediction and analysis of static electric field signature distributions generated from a naval vessel at any different depths.