Other

Bae Systems Land & Armaments L.p.

Mei Lam

Ignacio Arnaldo

Brian Kariya

Michael McCullough

Ankit Arun

Roy John Buchmann

Wing Ng

Stu Nakashima

Parmjit Paul Singh

Yaping Zhu

Scott Greenlee

Costas Bassias

Jeff Faul

A torsion bar restraint system for tracked combat vehicles that aids in the improvement of occupant survival rates when associated with asymmetric threats. The blast mitigating restraint system can reduce the dynamic deflection of torsion bars based on the severity of the blast impulse as needed. Systems comprise one or more components that secure the torsion bar to the hull for protecting against dynamic deflection and lateral displacement. The two disclosed components, an end restraint device and an M-Ring restraining device, can be used in conjunction or independently from each other based on the type of threat likely to be encountered.

Blast mitigating restraint system

Disclosed is a data analysis and cybersecurity method, which forms a time-based series of behavioral features, and analyzes the series of behavioral features for attack detection, new features derivation, and/or features evaluation. Analyzing the time based series of behavioral features may comprise using a Feed-Forward Neural Networks (FFNN) method, a Convolutional Neural Networks (CNN) method, a Recurrent Neural Networks (RNN) method, a Long Short-Term Memories (LSTMs) method, a principal Component Analysis (PCA) method, a Random Forest pipeline method, and/or an autoencoder method. In one embodiment, the behavioral features of the time-based series of behavioral features comprise human engineered features, and/or machined learned features, wherein the method may be used to learn new features from historic features.

Method and system for learning representations for log data in cybersecurity

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San Jose, CA, United States of America

Mei Lam