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An accurate marching-on-in-degree (MOD) scheme is proposed to solve the time-domain integral equation (TDIE) integrated with the modified nodal analysis (MNA) for simulating transient field-circuit coupling problems. In the MOD scheme, a set of weighted Laguerre polynomials is chosen as the temporal basis functions. Besides, the current continuity equation is modified for connecting the electromagnetic...
This paper is concerned with finite-time synchronization for two models of coupled Cohen-Grossberg neural networks with time-varying delays. In the first one, linearly coupled Cohen-Grossberg neural networks is considered. In the second one, nonlinearly coupled Cohen-Grossberg neural networks is discussed. Based on finite-time stability theory, some inequality techniques, and designed controllers,...
This paper investigates the synchronization problem of nonlinearly coupled reaction-diffusion neural networks (NCRDNNs). By utilizing Lyapunov functional combined with several inequality techniques, a criterion for synchronization of NCRDNNs is presented. With designed pinning scheme, the synchronization problem of NCRDNNs is further discussed and a sufficient condition for pinning synchronization...
Single Nucleotide Polymorphisms (SNPs) are the most common variants in the human genome. Disease analysis costs can be reduced by selecting meaningful SNPs, i.e., tagging the SNP selection. We propose a method, called chaos particle swarm optimization (CPSO), to select tag SNPs, and use linkage disequilibrium (LD) and the K-nearest neighbor (K-NN) method to respectively reduce and evaluate the tag...
In this paper, a novel inductor with the S-shape layout is considered, designed and proposed to improve the drawbacks of the conventional spiral inductors. Due to the inherent feature of S-shape layout, the EM field distributions of the novel inductor are more constrained to the planar structure itself, rather than widely out-spread. The EM coupling effect through the substrate is thus relaxed. A...
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