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Xi'an, China

Xidian University, also known as University of Electronic Science and Technology at Xi'an, is a university located in Xi'an, Shaanxi, People's Republic of China. The university is regarded as having strong science and engineering programs, and is particularly famous in Information Technology related disciplines in China. Wikipedia.

Wu S.-L.,Xidian University
Nonlinear Analysis: Real World Applications

This paper is concerned with entire solutions of a bistable reactiondiffusion system modeling manenvironmentman epidemics, i.e., solutions defined for all times t ∈ R and for all points x ∈ R. It is known that the system has an increasing traveling wave solution with nonzero wave speed under some reasonable conditions. Using the comparison argument and sub-super-solution method, we construct some new entire solutions for the system which behave like two increasing traveling wave solutions propagating from both sides of the x-axis and annihilating at a finite time. © 2011 Elsevier Ltd. All rights reserved. © 2012 Elsevier Ltd. All rights reserved. Source

Disclosed is a method for preparing structured graphene on a SiC substrate on the basis of Cl

A layer I vanadium-doped PIN-type nuclear battery, including from top to bottom a radioisotope source layer(

A method for preparing graphene by reaction with Cl

Wang G.,Xidian University
IEEE Transactions on Vehicular Technology

In this paper, the energy-based localization problem in wireless sensor networks is addressed. We focus on the weighted least squares (WLS) estimation of the source location. Due to the nonconvex nature of the WLS formulation, its global solution is hard to obtain without a good initial estimate. We propose a semidefinite relaxation method for this localization problem. To do so, we transform the original WLS formulation into a nonconvex approximate WLS (AWLS) formulation, which is then relaxed as a semidefinite programming (SDP). We show that it is possible for the SDP to be tight, i.e., the SDP solves the original AWLS problem. For the cases where the SDP is not tight, a procedure called Gaussian randomization is applied to further refine the SDP solution. Simulation results show that the proposed method can outperform the existing methods at high noise levels. © 2011 IEEE. Source

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