Abstract: Systems and methods are provided for updating data in a computer network. An exemplary method includes: collecting a first set of measured information from a plurality of space vehicles and a second set of measured information from a reference space vehicle; deriving an affine system for each of the space vehicles; deriving a set of physical distance metrics between each of the space vehicles and the reference space vehicle; identifying a set of space vehicles having a physical distance metric below a threshold; upon identifying the set of space vehicles, performing a similarity analysis for each of the identified set of space vehicles producing a set of intercalibration parameters; applying the set of intercalibrations parameters to the affine system of each of the identified set of space vehicles; and forming an ensemble product defining calibrated sensor information from the space vehicles.

Abstract: A display unit movable between a disassembled position and an assembled position having a back wall, a first sidewall extending from a first side end of the back wall, a second sidewall extending from a second side end of the back wall, and a plurality of shelves that are operably coupled to the back wall, the first sidewall, and the second sidewall. The shelf has a support surface that is parallel to the back wall when the display unit is in the disassembled position. The support surface is configured to be transverse to and extend from the back wall when the display unit is in the assembled position.

Abstract: A method is provided for deriving a near-optimal fuzzy automaton for a given separation problem. The method includes the steps of: forming a first generation population (24) of fuzzy automata, where the first generation population of fuzzy automata includes a plurality of fuzzy automata; performing a mutation operation (28) on each fuzzy automaton in the first generation population of fuzzy automata; reproducing the first generation population of fuzzy automata using a survival of the fittest operation (30, 32, 34); and applying a cross-over operator (36) to the reproduced first generation population of fuzzy automata, thereby yielding a next-generation population of fuzzy automata. A near-optimal fuzzy automaton is identified by evaluating the performance (38) of each fuzzy automaton in the next-generation population; otherwise the methodology is repeated until a near-optimal fuzzy automaton is derived for the given separation problem.

Abstract: A method is provided for deriving a near-optimal fuzzy automaton for a given separation problem. The method includes the steps of: forming a first generation population (24) of fuzzy automata, where the first generation population of fuzzy automata includes a plurality of fuzzy automata; performing a mutation operation (28) on each fuzzy automaton in the first generation population of fuzzy automata; reproducing the first generation population of fuzzy automata using a survival of the fittest operation (30, 32, 34); and applying a cross-over operator (36) to the reproduced first generation population of fuzzy automata, thereby yielding a next-generation population of fuzzy automata. A near-optimal fuzzy automaton is identified by evaluating the performance (38) of each fuzzy automaton in the next-generation population; otherwise the methodology is repeated until a near-optimal fuzzy automaton is derived for the given separation problem.

Abstract: A corner protector apparatus for providing protection for the corner areas of substantially flat, rectangular, parallelpiped structures is provided. The corner protector apparatus includes one or more pairs of corner protector structures cooperatively formed from a single blank of suitable shock absorbing protective material which corner protector structures are advantageously configured to be readily separated for deployment and positioning upon respective corners of such a substantially flat rectangular parallelpiped structure for the facilitated covering and protection of same.

Abstract: A classifier employing general frame wavelets for improving target recognition while decreasing computational intensity is disclosed. A wavelet selection means compares a portion of a time dependent input signal from a receiver with a set of sample wavelets, each wavelet being bandpass limited, locally supported, and mean zero, and selects a prototype wavelet resembling the input portion. A resolving means expands the prototype wavelet onto a basis of wavelet functions having variations in scale and delay, and resolves the input signal onto the basis of functions. A regionpass filter identifies a region from a grid of resolved coefficients that contains features of a target from the input signal and discards coefficients outside the region. A separability filter passes select coefficients from a scale band within the identified region where separability among known targets is high. A comparator compares the selected coefficients with an exemplar of known targets to indicate a recognition of the target.

Abstract: A semiconductor device has material removed from the back of the substrate and a manufacturing process is provided for manufacturing these devices. In the exemplary embodiment, a GaAs FET chip is formed by a process including the step of etching the GaAs substrate from the back of the chip in a defined removal region to reduce the dielectric constant in the region of the source-to-drain path. A buffer layer of differing material provided between the active layers and the substrate prevents etching of the active layers during the removal process. To allow simplified etching patterns, the source-to-drain path may be laid out on the surface of the chip in a variety of patterns, including "packed" patterns concentrating a large path area in a small surface area of the chip. Optionally, this buffer layer may also be etched away in a further processing step.