USA As Represented by Secretary of the Navy

Daniel Carl Grady

David Bart Chadwick

Sunny James Fugate

Benjamin J Migliori

Daniel J Gebhardt

Jonathon Keith Oiler

Andrew Higier

Chun-Che Peng

Adriane Q Wolfe

Riley Zeller-Townson

A system, method, and computer program product are provided for identifying a plurality of components of a computing system, determining a power flow and a heat flow between the plurality of components, creating a plurality of system matrices, utilizing the power flow and the heat flow, creating a plurality of system vectors, utilizing information derived from the plurality of components, and distributing a plurality of processing jobs to one or more of the plurality of components of the computing system according to one or more constraints, utilizing the plurality of system vectors and the plurality of system matrices.

Capacity based distribution of processing jobs to computing components

Class types of input signals having unknown class types are automatically classified using a neural network. The neural network learns features associated with a plurality of different observed signals having respective different known class types. The neural network then recognizes features of the input signals having unknown class types that at least partially match at least some of the features associated with the plurality of different observed signals having respective different known class types. The neural network determines probabilities that each of the input signals has each of the known class types based on strengths of the matches between the recognized features of the input signals and the features associated with plurality of different observed signals. The neural network classifies each of the input signals as having one of the respective different known class types based on a highest determined probability.

Biologically inspired methods and systems for automatically determining the modulation types of radio signals using stacked de-noising autoencoders

A method comprising the steps of: displaying primary data having a first sensitivity level on a first display screen that is operatively coupled to a first computer; capturing an image of the first display screen with an image capture device that is operatively coupled to a second computer that is communicatively isolated from the first computer such that no data is shared between the first and second computers; executing with the second computer a display recognition and characterization algorithm to recognize the primary data based only on the captured image of the first display screen; and augmenting the primary data by displaying secondary data on a second display, wherein the secondary data is related to, and has a higher sensitivity level than, the primary data.

Augmented reality cross-domain solution for physically disconnected security domains

A method for coordinating operation of an off-grid, hybrid power system and an information technology (IT) system comprising the following steps: powering the IT system with the off-grid, hybrid power system according to a power generation management scheme designed to maximize fuel savings, wherein the hybrid power system comprises a generator and an electrical energy storage source; monitoring tasks performed by the IT system with a processor; determining which component of the hybrid power system is currently powering the IT system; and dynamically changing the tasks performed by the IT system depending on which component of the hybrid power system is currently powering the IT system such that the IT system only performs high priority tasks when the energy storage source is powering the IT system and such that a queue of low priority tasks are held in abeyance until the generator is powering the IT system.

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La Jolla, CA, United States of America

Daniel Carl Grady