Abstract: Apparatuses and methods for generating trace vapors are provided. The apparatus includes a controller and an oven. The controller includes: a processor, a memory storing at least one control program, a clean solution supply port constructed to output a clean solution, an analyte solution supply port constructed to output an analyte solution, a carrier gas inlet port constructed to receive a carrier gas, and a plurality of carrier gas supply controllers constructed to output the carrier gas.

Abstract: A system is described that includes a known fuels database of data from gas chromatography-mass spectrometry analyses of a library of fuels with known fuel properties for a multiple known fuel samples. Gas chromatography-mass spectrometry equipment can acquire gas chromatography-mass spectrometry data for an unknown fuel sample. A metaspectrum module can accept and transform the gas chromatography-mass spectrometry data collected by the gas chromatography-mass spectrometry equipment for the unknown fuel sample into a single metaspectrum for the unknown fuel sample, wherein the metaspectrum is a quantitative representation of every compound detected in the unknown fuel sample. A correlation module can correlate the metaspectrum for the unknown fuel sample to a plurality of fuel properties of known fuel samples using a regression model to predict fuel properties for the unknown fuel sample. A reporting module can report the fuel properties for the unknown fuel sample to a user.

Abstract: A system is described that includes a known fuels database of data from gas chromatography-mass spectrometry analyses of a library of fuels with known fuel properties for a multiple known fuel samples. Gas chromatography-mass spectrometry equipment can acquire gas chromatography-mass spectrometry data for an unknown fuel sample. A metaspectrum module can accept and transform the gas chromatography-mass spectrometry data collected by the gas chromatography-mass spectrometry equipment for the unknown fuel sample into a single metaspectrum for the unknown fuel sample, wherein the metaspectrum is a quantitative representation of every compound detected in the unknown fuel sample. A correlation module can correlate the metaspectrum for the unknown fuel sample to a plurality of fuel properties of known fuel samples using a regression model to predict fuel properties for the unknown fuel sample. A reporting module can report the fuel properties for the unknown fuel sample to a user.

Abstract: A system is described that includes a known fuels database of data from gas chromatography-mass spectrometry analyses of a library of fuels with known fuel properties for a multiple known fuel samples. Gas chromatography-mass spectrometry equipment can acquire gas chromatography-mass spectrometry data for an unknown fuel sample. A metaspectrum module can accept and transform the gas chromatography-mass spectrometry data collected by the gas chromatography-mass spectrometry equipment for the unknown fuel sample into a single metaspectrum for the unknown fuel sample, wherein the metaspectrum is a quantitative representation of every compound detected in the unknown fuel sample. A correlation module can correlate the metaspectrum for the unknown fuel sample to a plurality of fuel properties of known fuel samples using a regression model to predict fuel properties for the unknown fuel sample. A reporting module can report the fuel properties for the unknown fuel sample to a user.

Abstract: A method and system of analyzing signal-vector data from first order sensors including providing a training data set, adjusting the training data set using a background adjustment technique, normalizing and transforming the training data set into wavelet coefficients, using an automated analysis of variance feature selection technique and a pattern recognition technique to classify the training data set. The method and system may also include performing these operations on an unknown sample data set collected under unknown conditions and comparing the unknown sample data set to the classification model to provide an identity of the unknown conditions associated with the unknown sample data set. The present invention is also directed to a computer system for analyzing signal-vector data according to this method and a sensing system that includes a sensor and a microprocessor on which is stored a classification model for real-time sensing of unknown sample data sets.

Abstract: A multi-criteria event detection system, comprising a plurality of sensors, wherein each sensor is capable of detecting a signature characteristic of a presence of an event 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-event, first data set; a second, event data set; and a third, nuisance data set.

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.

Abstract: A turning vane arrangement (30) for an IR suppressor having a duct (32) adapted for receiving a primary flow PF of engine exhaust. The turning vane arrangement (30) is operative to direct a pressurized secondary flow PSF of low temperature gaseous fluid into the primary flow of engine exhaust for reducing the IR energy thereof. The turning vane arrangement (30) includes at least one turning vane (50) situated in the duct (32) and is characterized by a trailing edge (50.sub.TE) that defines an exhaust nozzle (52). The exhaust nozzle (52) is adapted for being disposed in fluid communication with a flow source (54) which produces the pressurized secondary flow PSF. The exhaust nozzle may include a plurality of adjoined lobes (60.sub.R, 60.sub.A or 60.sub.P) for rapidly and thoroughly admixing the primary and pressured secondary flows PF, PSF.

Abstract: A multi-stage mixer/ejector (20) having at least one exhaust nozzle (24 or 28) which includes inlet conduit adapted for receiving a primary flow PF of engine exhaust and a plurality of adjoined lobes (30) integrally formed in combination with the inlet conduit. The adjoined lobes (30) of the exhaust nozzle (24 or 28) are characterized by a first and second plurality of penetrating lobes (60, 62 or 70, 72) which are axially staggered with respect to each other and which are adapted for admixing low-temperature gaseous fluid with the high-temperature exhaust. In the preferred embodiment, at least one of the plurality of penetrating lobes (60 or 62, 70 or 72) extends into a core region (CR) of the exhaust nozzle (24 or 28) to effect thorough mixing of the low temperature gaseous fluid with the engine exhaust.

Abstract: An exhaust nozzle (24 or 28) operative to suppress the InfraRed (IR) signature radiated from the high-temperature exhaust of an engine (12) which exhaust nozzle (24 or 28) includes an inlet conduit adapted for receiving the high-temperature engine exhaust and a plurality of adjoined lobes (30) integrally formed in combination with the inlet conduit. The adjoined lobes (30) are characterized by a first and second plurality of penetrating lobes (60, 62 or 70, 72) which are adapted for admixing low-temperature gaseous fluid with the high-temperature exhaust and which are axially staggered with respect to each other. In the preferred embodiment, at least one of said plurality of penetrating lobes (60 or 62, 70 or 72) extends into a core region (CR) of the exhaust nozzle (24 or 28) to effect thorough mixing of the engine exhaust with the low temperature gaseous fluid. Various embodiments of such exhaust nozzle (24 or 28) are described in the context of a multi-stage mixer/ejector (20).