Fires greatly threaten the grassland ecosystem, human life, and economic development. However, since limited research focuses on fire prediction, it is necessary to find a better method predict probability of grassland-fire occurrence. Multiple environmental variables impact After selecting natural based remote sensing data anthropogenic variables, we built regression models probability, taking...

We present a study of statistical relationships between the G condition, F1-layer and NmF2 negative disturbance occurrence probabilities and geomagnetic and solar activity indices Kp and F10.7, season, and geomagnetic latitude, using experimental data acquired by the Ionospheric Digital Database of the National Geophysical Data Center, Boulder, Colorado from 1957 to 1990. It is shown that the d...

Power transformer, as a crucial equipment for power transmission, frequently suffers winding deformation defects, owing to the impact of huge external short-circuit current in actual operation. To resist rapid deterioration online monitoring states is imperative, depending on thorough understanding defects. Unfortunately, there are not much related research form and location, two key objects di...

Modeling of semantic space is a new and challenging research topic both in cognitive science and linguistics. Existing approaches can be classified into two different types according to how the calculation are done: either a word-by-word co-occurrence matrix or a word-by-context matrix (Riordan 2007). In this paper, we argue that the existing popular distributional semantic model (vector space ...