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Zaozhuang, China

In this paper, we present a descent decomposition method for solving variational inequalities in equilibrium modeling, which can be viewed as an extension of the decomposition method proposed by Gabay and Mercier [4,5] by performing an additional projection step at each iteration. An optimal step length is employed to reach substantial progress. Under certain conditions, the global convergence of the descent method is proved. Preliminary numerical experiments are included to illustrate the efficiency of the new method. © 2011. Source


Wang X.,Zaozhuang University
Proceedings - 2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012 | Year: 2012

Today the independent component analysis (ICA) has been widely used in the blind source separation (BSS) to separate independent components in a data set based on its statistical properties. However, when the dimension of the input data is too high, the performance of the ICA may be not satisfactory. To address this problem, the present paper has proposed the new integrated method for the independent component extraction. The supervised manifold learning was firstly adopted to reduce the dimension of the input data, and then the kernel ICA (KICA) was employed to extract useful independent components in an efficient manner. The application of the proposed method has been successfully applied to the face image recognition. The experimental analysis has showed satisfactory and effective face image identification performance. © 2012 IEEE. Source


Liu Z.,Zaozhuang University
Optics Communications | Year: 2012

An adaptive image interpolation approach is proposed in this paper. The proposed approach imposes a regularization on the reconstructed high-resolution image to suppress the noise and blurring incurred in the observed low-resolution image. Furthermore, the proposed regularization scheme is steered by the local gradient information of the image, which is evaluated using a probabilistic measure. Experiments are conducted to demonstrate the superior performance of the proposed approach. © 2011 Elsevier B.V. All rights reserved. Source


Li C.,Nanjing University of Aeronautics and Astronautics | Yue Q.,Nanjing University of Aeronautics and Astronautics | Li F.,Nanjing University of Aeronautics and Astronautics | Li F.,Zaozhuang University
IEEE Transactions on Information Theory | Year: 2014

Cyclic codes are an interesting type of linear codes and have wide applications in communication and storage systems due to their efficient encoding and decoding algorithms. In this paper, let Fr be a finite field with r = qm. Suppose that g1, g2 ε F* r are not conjugates over Fq, ord(g1) = n1, ord(g2) = n2, d = gcd(n1, n2), and n = n1n2/d. Let Fq (g1) = Fqm1 , Fq(g2) = F q m2, and Ti denote the trace function from Fqmi to F q for i = 1, 2. We define a cyclic code C(q,m,n1,n2) = {c(a, b) : a ε Fq m1 , b ε dbl;Fq m2 }, where c(a, b) = (T1(ag0 1) + T2(bg0 2 ), T1(ag1 1) + T2(bg1 2), ⋯ , T 1(agn-1 1 ) + T2(bg n-1 2 )). We mainly use Gauss periods to present the weight distribution of the cyclic code C(q,m,n1,n2). As applications, we determine the weight distribution of cyclic code C(q,m,qm1-1,qm2-1) with gcd(m1, m2) = 1; in particular, it is a three-weight cyclic code if gcd(q -1, m1-m2) = 1. We also explicitly determine the weight distributions of some classes of cyclic codes including several classes of four-weight cyclic codes. © 2014 IEEE. Source


Qin X.,Zaozhuang University
ICIC Express Letters | Year: 2013

In this paper, we investigate the adaptive stabilization for a class of stochastic nonholonomic systems with unknown covariance. Using input-state-scaling, backstepping and parameter separation techniques, we design the robust adaptive control law. Based on the switching strategy to eliminate systems of uncontrollability, the global asymptotic regulation of closed-loop system states is achieved. © 2013 ISSN 1881-803X. Source

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