Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A blast mitigation mat which protects soldiers from an explosion and from the fire and toxic fumes that result. The mat may include a surface layer that includes traction component, an energy absorptive, metallic, non-flammable layer which can include a hollow metallic structure, and a finishing layer. The non-flammable layer is comprised of materials that melt rather than burn. The finishing layer can be mounted to the vehicle or other surfaces subject to blast impulses.