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Results 1 - 10 of 84
7/24/2020 - PC softwareTry the newly rewritten version of the MFIRE software program to model fire and contaminant spread in underground mines.
3/1/2012 - Technology NewsNIOSH completed a major redesign of MFIRE and replaced its outdated programming language with an object-oriented C++ approach. The program was split into a front-end with a simple graphical-user-interface (GUI), and the MFIRE “engine” back-end.
Forecasting Gob Gas Venthole Production Performances Using Intelligent Computing Methods for Optimum Methane Control in Longwall Coal Mines9/1/2009 - Peer reviewed journal articlesIn this paper, the total gas flow rates and methane percentages from 10 GGVs were analyzed. The results showed that the two-hidden layer model predicted total production and the methane content of the GGVs with more than 90% accuracy.
11/1/2008 - Conference papersThis article discusses how narrative-based training has evolved and is likely to continue changing in the future using the Underground Coal Mine Map Reading Training (UCMMRT) developed by NIOSH.
Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks2/1/2008 - Peer reviewed journal articlesThis study proposes a principal component analysis (PCA) and artificial neural network (ANN)-based approach to predict the ventilation methane emission rates of U.S. longwall mines.
Development and Application of Reservoir Models and Artificial Neural Networks for Optimizing Ventilation Air Requirements in Development Mining of Coal Seams11/1/2007 - Peer reviewed journal articlesUsing coalbed methane reservoir modeling and an artificial neural network (ANN) design for prediction and optimization of methane inflows and ventilation air requirements to maintain methane concentrations below statutory limits.
8/1/2004 - Conference papersThis paper focuses on a computer simulation used to model roof behavior and rock bolt interaction in a collaborative study of ground behavior, reinforcement performance, and stress redistribution in a coal mine entry under severe horizontal stress.
5/1/2004 - Conference papersA case study is presented that relates statistical descriptions of joint sets to the distribution of local wedge failures along the crest of a catch bench at the Yellowstone Talc Mine.
Machine Learning Models that Blend Subjective and Objective Data to Improve Understanding and Management of Operator Fatigue9/18/2020 - Contracts and cooperative agreementsA contract with the University of Utah to research machine learning models that blend subjective and objective data to improve understanding and management of operator fatigue.
8/1/2019 - Peer reviewed journal articlesThis paper describes the features of VR Mine, a NIOSH-developed a virtual reality framework that allows the rapid generation of VR software applications for use in research.