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Northrop Grumman Systems Corporation

Peter D Anderson

Matthew L Welborn

James Theodore Hoffman

Michael E Jayne

Robert B Gray

Charles Ethan Hayes

Macey C Ruble

Ann M Pitruzzello

A multi-tier machine learning engine receives signal data characterizing a monitored signal of the computing platform. The machine learning engine can include a plurality of tiers that employ frequency domain analysis on the signal data to identify an application executing on the computing platform and a module and/or loop of the identified application and employ time domain analysis on the signal data to identify timing of events within the identified module and/or loop of the identified application.

Machine learning to monitor operations of a device

An internal combustion engine has a cylinder with a first axis, a piston housing therein and connected to a yoke housing having a sliding block within a slot in the yoke which slot is curved about a center of curvature with the concave side of the slot facing away from the combustion chamber and offset from the vertical axis of the combustion chamber, the curve's radius being such as to provide a power stroke having a time period which exceeds the time period of a compression stroke.

Dynamic compression internal combustion engine with yoke having an

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Baltimore, MD, United States of America

Peter D Anderson