Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and lim...
Service discovery is a key concept in a distributed Grid environment. The first step towards Grid implement is the discovery of services. In this paper, we build a new Grid servic...
Abstract. In this paper we determine some limit distributions of pattern statistics in rational stochastic models, defined by means of nondeterministic weighted finite automata. ...
Locally and functionally distributed applications realized on different system architectures demand a universal, portable and intuitive software utility for interprocess communica...