and Applied Analysis 3 global exponential stability and synchronization of delayed reaction-diffusion neural networks under hybrid state feedback control and impulsive control. However, to the authors knowledge, impulsive control has not been considered in the literature to realize synchronization of reaction-diffusion neural networks. Moreover, the impulsive controllers in 3, 9, 36–40 were non...

The cascade of fluorescence photons by a two-level atom excited coherent laser light is reviewed. discussion emphasizes the random nature resonance and uses distribution delays between two successively emitted as primary characterization process. Other characterizations such photon counting correlation are deduced.

Many applications in cellular systems and sensor networks involve a random subset of a large number of users asynchronously reporting activity to a base station. This paper examines the problem of multiuser detection (MUD) in random access channels for such applications. Traditional orthogonal signaling ignores the random nature of user activity in this problem and limits the total number of us...

We explore the achievable delay performance in wireless random-access networks. While relatively simple and inherently distributed in nature, suitably designed queue-based randomaccess schemes provide the striking capability to match the optimal throughput performance of centralized scheduling mechanisms in a wide range of scenarios. The specific type of activation rules for which throughput op...

Visual discrimination and detection responses to a single stimulus presented simultaneously with noise stimuli are slower and less accurate than are responses to a single stimulus presented alone. This occurs even though the location of the relevant stimulus (target) is known or visually indicated with stimuli onset. Results showed that noise elements delay focal attending and processing of a t...

In a number of distributed computing applications, messages must be transmitted on demand between processes running at different locations on the Internet. The end-to-end delays experienced by the messages have a significant “random” component due to the complicated nature of network traffic. We propose a method based on delay-regression estimation to achieve low end-to-end delays for message t...

Gene regulation is inherently a stochastic process due to intrinsic and extrinsic noises which cause the fluctuations and uncertainties of kinetic parameters. On the other hand, time delays are usually inevitable due to different biochemical reactions in the genetic regulatory networks (GRNs) which are also affected by noises. Therefore, in this paper, we propose a GRN model that is subject to ...

We consider a network of periodically running railway lines. Investments are possible to increase the speed and to improve the synchronisation of trains. The model also includes random delays of trains and the propagation of delays across the network. We derive a cost-benefit analysis of investments, where the benefit is measured in reduced waiting time for passengers changing lines. We also es...