Over the past few years the network-based GPS surveying technique has been widely discussed. The main advantage of the network-based technique is that the distance-dependent errors (i.e, residual atmospheric biases and orbit error effects) can be reduced and the performance of conventional single reference station, carrier phase-based techniques can be extended over longer baselines. However, e...

through the last three decades different seismological and engineering approaches for the generation of artificial earthquakes have been proposed. selection of an appropriate method for the generation of applicable artificial earthquake accelerograms (aeas) has been a challenging subject in the time history analysis of the structures in the case of the absence of sufficient recorded accelerogra...

Since the seminal work by Kelly on distributed network resource allocation using Network Utility Maximization (NUM) a decade ago, there have been extensive research efforts generalizing and applying NUM to model, analyze, and design various network protocols and architectures. Some of these works combine the distributed optimization approach with stochastic network models to study NUM under net...

In this paper we develop tools to analyse a recently proposed random matrix model of communication networks that employ AIMD congestion control algorithms. We analyse properties of the Markov process describing the evolution of the window sizes of network users. Using paracontractivity properties of the matrices involved in the model, it is shown that the process has a unique invariant probabil...

We propose a general Bayesian network model for application in a wide class of problems of therapy monitoring. We discuss the use of stochastic simulation as a computational approach to inference on the proposed class of models. As an illustration we present an application to the monitoring of cytotoxic chemotherapy in breast cancer.

With increasing amounts of interaction data collected by high-throughput techniques, understanding the structure and dynamics of biological networks becomes one of the central tasks in post-genomic molecular biology. Recent studies have shown that many biological networks contain a small set of “network motifs,” which are suggested to be the basic cellular information-processing units in these ...

In this paper, we prove the stochastic version of the Positive Real Lemma (PRL), to study the stability problem of nonlinear systems in Lur’e form with stochastic uncertainty. We study the mean square stability problem of systems in Lur’e form with stochastic parametric uncertainty affecting the linear part of the system dynamics. The stochastic PRL result is then used to study the problem of s...

An upper boundary point for a demand vector is defined to be a system state vector for which the system capacity is equal to the demand vector, and an increase in its unsaturated components leads to at least one unit of increase in system capacity. System capacity of a singlecommodity stochastic-flow network is the maximum flow from the source node to the sink node of the network. Extending the...

Since the seminal work by Kelly on distributed network resource allocation using the language of network utility maximisation (NUM) a decade ago, there have been extensive research efforts generalising and applying NUM to model, analyse and design various network protocols and architectures. Some of these works combine the distributed optimisation approach with stochastic network models to stud...