We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
We present an unconventional clock distribution that emphasizes flexibility and layout independence. It suits a variety of applications, clock domain shapes and sizes using a modu...
Abstract-- We propose a framework for decentralized path selection and on-demand wavelength channel provisioning in WDM networks with routing constraints. Within this framework, th...
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error an...
Andreas Gregoriades, Alistair G. Sutcliffe, Harala...
The contribution of this paper is twofold. First a distributed garbage collector (DGC) is presented that is optimized for remote method invocation in reliable networks, such as cu...