Remedial mine detection and the detection of unexploded ordnance (UXO) have become very important for humanitarian reasons. This paper addresses mine detection using commonly used Electromagnetic Induction sensors. We propose and evaluate two neural network approaches to mine detection which provide a robust non-parametric technique, based on training the networks using data from a previously c...

The frictional resistance coefficient of ventilation a roadway in coal mine is very important technical parameter the design and renovation ventilation. Calculations based on empirical formulae field tests to calculate have limitations. An inversion method by using few representative data air flows node pressures proposed this study. mathematical model developed principle least squares. measure...

Abstract Deep-level underground mining costs in South Africa are continuously rising due to the increased depth at which gold is being mined, resulting a rise virgin rock temperature and an increase cooling requirements. Therefore, mines must evaluate various ventilation optimisation projects required be implemented throughout their life of mine (LOM). This study develops method identify priori...

There are a large number of sensors to detect information in mine environment system, which provides the original data for the prevention and treatment of mine accidents. According to data flow of data acquisition, data transmission, data storage and data processing, this paper used CC2530 to design the wireless sensor nodes, analyzed the Zigbee network topology and designed an optimized PEGASI...