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Since most existing gas monitoring methods depend on the measurement of single sensor, it is difficult to predict gas outburst accurately for the whole mining area. To deal with the problem, a gas outburst prediction algorithm based on the Choquet fuzzy integral is presented. The fuzzy Choquet integral algorithm is used to estimate the whole concentration of gas considering gas concentration and the importance in different locations. In order to reduce the computation burden, q − measure is adopted and the solution to parameterλ in Choquet fuzzy integral is achieved iteratively. Simulation shows the efficiency of the proposed algorithm.

This paper presents a study of the effects of a non-uniform beam on the received backscattered power from a blood vessel by a computer simulation. The results show quantitatively how t,he received power changes with the probe-to-vessel alignment for two probes with different beam profiles.

The LOG compression technique is commonly used in medical ultrasound imaging to show the weak scattering signals on the same scale as the strong specular reflections. This transformation changes the statistical nature of the envelope detected signal from Rayleigh to doubly exponential distribution. Theoretically the authors have found the relationship between the mean values of the pre- and post-compressed data. A computer simulation verified the theoretical prediction, and experimental data support the results. The results of the study imply that for the tests which use the relative signal level such as SNR, either the pre- or the post-compressed data can be used.