Industrial symbiosis is the concept that waste from industrial processes can be diverted and then reused as inputs into co-located entities. While research to date has identified successful examples of characterized formation processes, little known about how new eco-industrial parks designed their performance optimized. In this paper, we describe modeled optimized during development phase assi...

Geological facies interpretation is essential for reservoir studying. The method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. Use of neural networks as classifiers is increasing in different sciences like seismic. They are computer efficient and ideal for patterns identification. They can simply learn new algori...

The positioning accuracy of commercially-available industrial robotic manipulators depends upon a kinematic model which describes the robot geometry in a parametric form. Manufacturing errors in machining and assembly of manipulators lead to discrepancies belween the design parameters and the physical structure. Improving the kinematic performance thus requires identification of the actual kin...

A composition by Primaticcio known in two etchings, Léon Davent and the Master I♀V, was identified centuries ago as Rebecca Eliezer, an identification accepted most cataloguers since then. But this is seriously problematic: crucially, lacks camels that are essential to subject. It here suggested etchings record a drawing or drawings for painted central field of vault Grotto Pines at Fontaineble...

The servomotor is an essential element in the automation of industrial processes, and its control is necessary to achieve better performance in applications of industrial positioning. In the systems control, the knowledge of plant model through proper identification is fundamental. This work presents a methodology based on neural networks to obtain the servomotors models on industrial applicati...