The control of forest fires has developed into a complex science costing millions of dollars internationally. In the U.S. more than 10 million acres of forest burn annually while, in Canada, over 8,000 fires last year claimed more than 1.5 million hectares. Experts around the world are continuing to research new and innovative ways of battling forest fires.
At Carleton University in Ottawa, Canada, Systems and Computer Engineering Professor Gabriel Wainer has created a software toolkit that can be used to define very complex physical systems. One of the applications is intended to predict the spread of forest fires. Dr. Wainer points out that his simulation research can also be used for other purposes such as predicting traffic flow. "We could use the toolkit to reprogram traffic lights that would move the traffic differently and prevent traffic jams." Another use is the examination of wireless communication patterns e.g. predicting ad hoc communication networks. "We can look at coverage and the shortest pathways to get from point A to point B."
"What weve done with the fire spread models is to build on other researchers work and design a computer simulation model considering various factors such as wind speed and direction, terrain, slope, and forestfighter participation, in order to study how these factors will affect the spread of a forest fire. You could use this toolkit to predict whether a town is endangered or where to place a forest fire team in order to combat a fire most effectively."
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16.07.2019 | University of California - Irvine
Artificial neural network resolves puzzles from condensed matter physics: Which is the perfect quantum theory?
12.07.2019 | Technische Universität München
Scientists at the University Würzburg and University Hospital of Würzburg found that megakaryocytes act as “bouncers” and thus modulate bone marrow niche properties and cell migration dynamics. The study was published in July in the Journal “Haematologica”.
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For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University in the United States has now successfully deployed artificial neural networks for image analysis of quantum systems.
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An international research group led by scientists from the University of Bayreuth has produced a previously unknown material: Rhenium nitride pernitride. Thanks to combining properties that were previously considered incompatible, it looks set to become highly attractive for technological applications. Indeed, it is a super-hard metallic conductor that can withstand extremely high pressures like a diamond. A process now developed in Bayreuth opens up the possibility of producing rhenium nitride pernitride and other technologically interesting materials in sufficiently large quantity for their properties characterisation. The new findings are presented in "Nature Communications".
The possibility of finding a compound that was metallically conductive, super-hard, and ultra-incompressible was long considered unlikely in science. It was...
An interdisciplinary research team at the Technical University of Munich (TUM) has built platinum nanoparticles for catalysis in fuel cells: The new size-optimized catalysts are twice as good as the best process commercially available today.
Fuel cells may well replace batteries as the power source for electric cars. They consume hydrogen, a gas which could be produced for example using surplus...
The fly agaric with its red hat is perhaps the most evocative of the diverse and variously colored mushroom species. Hitherto, the purpose of these colors was...
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