Communications: electrical – Condition responsive indicating system – Specific condition
Reexamination Certificate
2006-04-25
2006-04-25
Wu, Daniel J. (Department: 2632)
Communications: electrical
Condition responsive indicating system
Specific condition
C340S521000, C340S523000, C340S539270, C340S588000, C340S589000, C340S629000
Reexamination Certificate
active
07034701
ABSTRACT:
A multi-criteria fire detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of a fire and providing an output indicating the same. A processor for receiving each output of the plurality of sensors is also employed. The processor includes a probabilistic neural network for processing the sensor outputs. The probabilistic neural network comprises a nonlinear, nor-parametric pattern recognition algorithm that operates by defining a probability density function for a plurality of data sets that are each based on a training set data and an optimized kernel width parameter. The plurality of data sets includes a baseline, non-fire, fist data set; a second, fire data set, and a third, nuisance data set. The algorithm provides a decisional output indicative of the presence of a fire based on recognizing and discrimination between said data sets, and whether the outputs suffice to substantially indicate the presence of a fire, as opposed to a non-fire or nuisance situation.
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Gottuk Daniel T.
Hammond Mark H.
Hart Sean J.
Rose-Pehrsson Susan
Shaffer Ronald E.
Ferrett Sally A.
Jordan Chester L.
Karasek John J.
Tang Son
The United States of America as represented by the Secretary of
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