Abstract: Systems and methods for monitoring an electrical energy storage unit and a parameter related to the load and based on the monitoring, if the load parameter is greater than a second rate of change of electrical power for a second component of an electrical power system, providing power from the electrical energy storage unit to the second component until the load parameter and the second component have equivalent rates of change of electrical power.

Abstract: Systems and methods for monitoring an electrical energy storage unit and a parameter related to the load and based on the monitoring, if the load parameter is greater than a second rate of change of electrical power for a second component of an electrical power system, providing power from the electrical energy storage unit to the second component until the load parameter and the second component have equivalent rates of change of electrical power.

Abstract: A fuzzy logic approach to the problem of distinguishing cerebrospinal fluid, gray and white matter pixels in magnetic resonance images of the brain. An unsupervised fuzzy clustering procedure based on a variant of the fuzzy c-means algorithm computes automatically, with virtually no operator intervention, the percentage area of each of these three compartments in each image. Each volume element represented in the image can belong to all compartments in varying degrees. The procedure requires input of the number of different compartments in the image, as well as a parameter which determines the amount of overlap of compartment boundaries. Preliminary data processing involves noise removal from images by highpass filtering. The final solution is substantially independent of required initial estimates of the gray scale values that are most representative of the white, gray and cerebrospinal fluid compartments in the image. The method is useful in the diagnosis of hydrocephalus.