Topology optimisation can facilitate engineers in proposing efficient and novel conceptual design schemes, but the traditional FEM based optimization demands significant computing power makes real time impossible. Based on convolutional neural network (CNN) method, a new deep learning approximate algorithm for topology is proposed. The learns from initial stress (LIS), which defined as major pr...

Convergence of a sequence of deterministic functions in the Skorohod topology d…‰0;?†† implies convergence of the jumps. For processes with independent additive increments the ®xed discontinuities converge. In this paper it will be shown that this is not true for processes with independent max-increments. The limit in d…‰0;?†† of a sequence of stochastically continuous extremal processes may ha...

Double-sided Inductor–Capacitor–Capacitor (LCC) or hybrid compensation network is often used in the traditional methods to realize load-independent output wireless power transfer; however, these require changes of operating frequency network, and adoption more switches components, resulting reduction reliability system. In this article, a single switch topology using switched capacitor was prop...

Real time interapplication communications are a key feature in musical multi-task operating systems. Independent applications can therefore be connected and collaborate by exchanging messages and data through communication channels. All these collaborating applications define a virtual network the user can dynamically configurate. The topology of such virtual network specifies the way applicati...

This document describes an optional mechanism within Intermediate System to Intermediate Systems (IS-ISs) used today by many ISPs for IGP routing within their clouds. This document describes how to run, within a single IS-IS domain, a set of independent IP topologies that we call Multi-Topologies (MTs). This MT extension can be used for a variety of purposes, such as an in-band management netwo...

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Fluctuation-dissipation theorems can be used to predict characteristics of noise from characteristics of the macroscopic response of a system. In the case of gene networks, feedback control determines the "network rigidity," defined as resistance to slow external changes. We propose an effective Fokker-Planck equation that relates gene expression noise to topology and to time scales of the gene...

MOTIVATION A variety of tools are available to predict the topology of transmembrane proteins. To date no independent evaluation of the performance of these tools has been published. A better understanding of the strengths and weaknesses of the different tools would guide both the biologist and the bioinformatician to make better predictions of membrane protein topology. RESULTS Here we prese...

The performance of attractor neural networks has been shown to depend crucially on the heterogeneity of the underlying topology. We take this analysis a step further by examining the effect of degree-degree correlations--assortativity--on neural-network behavior. We make use of a method recently put forward for studying correlated networks and dynamics thereon, both analytically and computation...

In this paper, we present the first snap-stabilizing message forwarding protocol that uses a number of buffers per node being independent of any global parameter, that is 4 buffers per link. The protocol works on a linear chain of nodes, that is possibly an overlay on a largescale and dynamic system, e.g., Peer-to-Peer systems, Grids. . . Provided that the topology remains a linear chain and th...