Abstract: Molecular beam epitaxy (202) with growing layer thickness control (206) by feedback of mass spectrometer (204) signals based on a process model. Examples include III-V compound structures with multiple AlAs, InGaAs, and InAs layers as used in resonant tunneling diodes.

Abstract: Molecular beam epitaxy (202) with growing layer thickness control (206) by feedback of mass spectrometer (204) signals based on a process model. Examples include III-V compound structures with multiple AlAs, InGaAs, and InAs layers as used in resonant tunneling diodes.

Abstract: This application discloses a method for distinguishing targets from clutter, comprising the steps of inputting data, extracting feature information from said data, extracting parameter information from said data, normalizing said features with said parameter information to produce parameter normalized feature information, inputting said parameter normalized feature information into the classification procedure, operating said classification procedure on said parameter normalized feature information, and outputting target and clutter data. Classification systems are also disclosed.

Abstract: The present invention is an improved multi-cellular shade which is adapted to be mounted within a window and in particular a non-vertical window. The shade has a cut away portion on each of its end. This cut away portion is defined by a stepped section that terminates in an angled section as viewed from the rear side toward the front side of the shade. The stepped section is further defined by two substantially perpendicular walls, one wall being generally perpendicular to the faces of the shade and the second wall being generally parallel to the faces. The second or parallel wall terminates in the angled portion, and the angled portion is at a generally obtuse angle to the second wall. Preferably, the cutaway end of the shade is configured to be recieved with in a C-shaped channel.

Abstract: Neural network systems (100) with learning and recall are applied to clustered multiple-featured data (122, 124, 126) and analog data.

Abstract: A method for determining pore-dependent properties, such as electrical conductivity and absolute permeability, of a porous sample by use of capillary pressure measurements. Capillary pressure data are obtained by performing nonwetting fluid intrusion measurements on a sample. The lowest applied pressure at which the intruding fluid forms a connected path spanning the sample (the "threshold capillary pressure") is determined. The sample's conductivity or absolute permeability, or both, may be determined in a preferred embodiment from the characteristic pore diameter corresponding to the threshold capillary pressure, an other parameters extracted from the measured capillary pressure data. The invention does not require use of any arbitrary, empirically adjustable parameter to predict conductivity or permeability. The method may be performed to characterize small samples of porous rock such as those obtained during borehold drilling operations.

Abstract: A method and apparatus for predicting pore-dependent physical properties of a microporous solid from measurements of the geometric statistical characteristics of the solid. In a preferred embodiment, the method involves a microscopic determination of the number of geometric features of the pore surface as seen by microscopy performed at several levels of magnification. The fractal dimensionality of the pore space and the range of length scales over which the geometric features of the solid obey a self-similar size distribution are determined. From the measured data, such properties as the porosity, electrical conductivity, and permeability are determined. The method may be performed to determine pore-dependent physical properties of various microporous solids, including reservoir rock, heterogeneous catalyst materials, and electrochemical electrodes.