Using Monte Carlo method, we developed a time-dependent stochastic ignition probability model based on the distribution of inter-annual daily relative humidity and daily temperature. Through this model, it is possible to estimate the spatial patterns of ignition probability for grassland fire, which ...
W. Shen, Traveling waves in time dependent bistable media, Differential Integral Equations 19 (3) Google Scholar [40] W. Shen Traveling waves in time almost-periodic structures governed by bistable nonlinearities, 1. Stability and uniqueness J. Differential Equations, 159 (1999), pp. 1-55 Googl...
East is a magnetic confinement reactor, or tokamak, designed to keep theplasma continuously burningfor prolonged periods. Reactors like this have never achieved ignition, which is the point at which nuclear fusion creates its own energy and sustains its own reaction, but the new record is a step...
Analytic solutions to the time-dependent Schrdinger equation for cutoff wave initial conditions are used to investigate the time evolution of the transmitted probability density for tunneling. For a broad range of values of the potential barrier opacity α, we find that the probability density exhibit...
A software layer hides both the fire code and the data transfer method so that the code is not dependent on any particular fire-atmosphere code. Consider an example of a weather station that reports the location, time, tem- perature, wind velocity, and humidity. The atmosphere code has ...
Exemplified on the model of Box 1, the PC algorithm12, adapted to time series, starts from a graph where all unconditionally (p = 0) dependent variable pairs (assuming stationarity, only links ending at time t are represented) are connected and iteratively tests conditional independence ...
A schematic of the spray geometry with nozzle indicated is presented in Fig. 1. The time-dependent rate of injection represents an input to the spray model. According to the basic assumption of non-vaporizing sprays, no specific distinction is made between the fuel in the liquid or vapour st...
Exemplified on the model of Box 1, the PC algorithm12, adapted to time series, starts from a graph where all unconditionally (p = 0) dependent variable pairs (assuming stationarity, only links ending at time t are represented) are connected and iteratively tests conditional independence with ...
For an individual, the probability of preferring time can be expressed as a function of individual characteristics and a logit regression model is appropriate to explain such a dichotomous choice (Cameron and Trivedi, 2005). The Logit regression model considers as the dependent variable the choice ...
More recently, Coca and Datcu [28] discussed the use of AD for postfire assessment, estimating the fire-affected vegetation through multispectral imagery, while Saad [29] applied neural networks (NN) to forecast fire ignition areas in Western Africa by taking meteorological features and vegetation ...