Home // ICDT 2013, The Eighth International Conference on Digital Telecommunications // View article

Real-Time Modeling in Pervasive Mining

Authors:
Jose Alejandro Perez
Ismael Soto
Miguel Alfaro
Francisco Cubillos
Pei Xiao

Keywords: mining; modeling; support vector machines; pervasive; machine-to-machine; cloud; neural networks

Abstract:
This paper introduces an integrated design for real-time plant modeling at a copper mine, using Support Vector Machines (SVM), Neural Networks, and new technologies such as Machine-to-Machine (M2M) and Cloud Computing with an Android client. This solution was designed for a plant inside a copper mine which cannot tolerate interruption and for which their in situ modeling, in real time, is an essential part of the system to control aspects such as instability by adjusting their corresponding parameters without stopping the process.

Pages: 60 to 66

Copyright: Copyright (c) IARIA, 2013

Publication date: April 21, 2013

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-262-2

Location: Venice, Italy

Dates: from April 21, 2013 to April 26, 2013