Award Data

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 ...

Current fielded sensor protection is limited to fixed wavelength filters. Broadband filters designed to circumvent multi-wavelength laser threats are plagued by low transmittance, which degrades the sensitivity and performance of the sensor. Future warfighter threats include frequency agile lasers and thus have the potential of defeating fixed filters. Self-activating (passive) devices where prote ...

Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...

The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

The overall objective of this effort is to demonstrate that UTSI’s Nanoneedle array technology can be used to develop a material for application to spacecraft to produce passive electron emission in a space plasma environment. It is envisioned that this spacecraft material will be used as a coating placed upon the spacecraft surface, similar to MLI. UTSI has demonstrated that the Nanoneedle ...

Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

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 ...

SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...