Science Applications International Corporation

Ernest E Muenchau

Rex David Richardson

H Bruce MacKay

Daniel J Bozich

Jay A Eggert

William Leslie Hicks

Weicheng Shen

James Henry Winso

Stephen R Deiss

George A Works

Jaroslaw W Tuszynski

Richard L Kasbo

The present invention relates to systems and methods for characterizing targets, e.g., trucks, pallets, trains, cars, and the like, using digital target imaging. Accordingly, embodiments of the present invention provide, at base: a) image segmentation and filtering to identify surrounding white space, interior walls, floor, and ceiling of the container; morphology routines to identify and classify objects found inside the container; and decision routines to report status of container as empty or non-empty with a confidence factor from 1-100.

Methods and systems for imaging and classifying targets as empty or non-empty

The system and method described herein facilitate back-to-back automatic scanning of moving vehicles without have the vehicles stop in the scanning zone. The system includes a scanning zone that comprises a radiation source and a radiation source detector. The system further includes a first sensor component for automatically sensing when a first portion of the moving target has passed through the scanning zone and a second portion of the moving target is about to enter the scanning zone, wherein the first sensor component sends a signal to the automated target inspection system to initiate a scan of the second portion upon sensing that the second portion of the target is about to enter the scanning zone. Additionally, a shutter, triggered by a signal from the first sensor component, allows radiation from the radiation source to pass through the scanning zone in the direction of the radiation detector when the second portion of the moving target is passing through the scanning zone and closes off the radiation when the second portion of the moving target is no longer within the scanning zone.

Method and system for automatically scanning and imaging the contents of a moving target

An adaptive process control system selectively controls vibrations in a given medium in real time. Unwanted vibrations present at a point being monitored in a given medium are sensed, and the system generates an appropriate offsetting vibration that is applied to the medium at a convenient location, which may be remote from the monitored point. The system includes a vibration sensor, such as one or more accelerometers, that sense both input and output vibrations present within the medium; at least one vibration generator, such as an electromagnetic shaker, that generates appropriate offsetting vibrations that are applied to the medium at one or more appropriate locations; and a neural network controller that controls the vibration generator(s) so as to force the sensed vibration at the monitored point(s) to a desired level. The adaptive vibration cancellation provided by the invention takes place in real time, and without the need to process time-consuming complex mathematical algorithms. A specific embodiment of the neural network controller includes a plurality of 4-layer neural networks configured in an adaptive filtered-x configuration.

Neurocontrolled adaptive process control system

A four stage pipelined processor (40) provides efficient processing of the most common operation performed in simulating neuron networks. A first stage of the processor includes a program memory (42) and a program address generator (41). A second stage comprises first and second data memories (44, 46) and respective address generators (60, 66) coupled thereto. A third stage comprises the input (X, Y) of a function unit (82), and a fourth stage comprises the output (Z) of the function unit (82). A unique bus architecture allows the various stages to simultaneously communicate with each other through the use of independent buses, and further provides for the quick simultaneous transfer of data from both the first and second data memories to the function unit. When not needed for performing in the pipelined mode, the various buses may be coupled together and to an I/O interface (52) by means of bus coupling means (e.g., 47). This architecture significantly reduces the circuitry needed to implement the necessary buses while allowing the processor to run without speed limitations in the pipelined mode.

Array processor

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San Diego, CA, United States of America

Ernest E Muenchau