Award Data

The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

This effort seeks verification tools and techniques to ensure safety and stability of spacecraft Guidance, Navigation, and Control (GN&C) algorithms, particularly the attitude control system integrated with autonomy software. Advanced control algorithms and autonomy are increasingly necessary to enable responsiveness of fleets of vehicles to attitude constraints and object avoidance. Verus Researc ...

The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

The objective of the proposed Phase-II effort by Spectral Energies LLC is to design and develop a fiber-coupled hyperspectral thermal LWIR imaging sensor suite to provide reliable, accurate 2D surface temperature measurements with high flexibility in practical gas turbine engines and propulsion systems. During the phase-II efforts, our team will work with fiber manufacture on custom designing of a ...

Wave-optics simulations are critical tools for analysis of laser directed energy systems. The primary method for conducting these simulations is to evaluate the Fresnel diffraction integral using the angular spectrum method based on the fast Fourier transform (FFT). While FFTs are considered computationally efficient, their use in the Fresnel integral results in difficult grid constraints includin ...

Cyber Risk Assessments for Threatened Environments (CRATE) is a system that produces actionable, mission-level alerts when anomalous behaviors indicative of cyber-attack are discovered within deployed mission-critical cyber-systems. CRATE is particularly relevant to deployment scenarios involving third-party infrastructure, such as deployment to a Platform as a Service (PaaS) provider or other clo ...

Accurate knowledge of heat flux is critical in assessing the design, performance, and survivability of hypersonic flight vehicles. Despite decades of research and testing, much is still unknown regarding hypersonic instabilities and transition mechanisms that define the state of the boundary layer. While the existence of these features is known, the ability to accurately measure them remains a cha ...

Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he