Network Convergence in the presence of various fault modes has been studied for completely connected networks extensively. However, complete connectivity is impractical for large distributed systems. In addition, to attain network convergence for partially connected systems, most research presume message relays by intervening nodes. In other words, the network is logically converted to a comple...

The 3GPP Multimedia Broadcast Multicast Service (MBMS) aims to introduce group communications into the 3G networks. One of the current key challenges is how to evolve these incipient features towards the ‘‘beyond 3G vision’’ of a converged global network where multimedia content can be delivered over one or more selected broadcast transport bearers. This paper presents potential multicast/broad...

The problem of convergence of a special form of the generalized pulsespectrum technique (GPST) for solving inverse problems of one-dimensional diffusion equations in space-time domain is considered. Under the assumptions that a Tikhonov regularized solution exists and the derivative operator of the regularized forward problem at the regularized solution is invertible, the iterative solutions of...

1. Kirk JA, Kass DA. Electromechanical dyssynchrony and resynchronization of the failing heart. Circ Res 2013;113:765-76. 2. Abraham WT, Fisher WG, Smith AL, et al. Cardiac resynchronization in chronic heart failure. N Engl J Med 2002;346: 1845-53. 3. Goldenberg I, Kutyifa V, Klein HU, et al. Survival with cardiacresynchronization therapy in mild heart failure. N Engl J Med 2014;370:1694-701. 4...

Photorealistic rendering, based on unbiased stochastic global illumination, is now within reach of any computer artist by using commercially or freely available softwares. One of the drawbacks of these softwares is that they do not provide any tool for detecting when convergence is reached, relying entirely on the user for deciding when stopping the computations. In this paper we detail two met...

In this paper, without assuming the boundedness, strict monotonicity and differentiability of the activation functions, we utilize a new Lyapunov function to analyze the global convergence of a class of neural networks models with time delays. A new sufficient condition guaranteeing the existence, uniqueness and global exponential stability of the equilibrium point is derived. This stability cr...