In this paper, a comprehensive mathematical model for designing an electric power supply chain network via considering preventive maintenance under risk of network failures is proposed. The risk of capacity disruption of the distribution network is handled via using a two-stage stochastic programming as a framework for modeling the optimization problem. An applied method of planning for the net...

The application of the Industrial Ethernet brings up issues of both the reliability and behaviour of the networks under a demanded load, while preserving the permitted time delay in the whole network. We propose an algorithm that designs the network topology, which meets the required fault tolerance and allows reliable communication between the parts of the control system. For this purpose, we ...

Active contour models have been part of extensive research since their introduction in the late eighties, because their concept of coupling the image data with shape control is a powerful method to delineate non-rigid curves. Various applications and enhancements have been examined using this technique, for example the development of multiple and coupled active contour models. Latest research d...

a neural network is developed for the determination of leaky confined aquifer parameters. leakage into the aquifer takes place from the storage in the confining aquitard. the network is trained for the well function of leaky confined aquifers by the back propagation technique and adopting the levenberg–marquardt optimization algorithm. by applying the principal component analysis (pca) on the a...