Award Data

The overall project objective is to develop and demonstrate a software package based on Fermi kinetics charge transport and Delaunay/Voronoi field discretization that accurately predicts semiconductor device behavior from DC up through the mm-wave and TH...

To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

The Air Force has identified a need for the creation of a common streaming model for 3D data that is agnostic to the display technology. To address this need, Third Dimension Technologies (TDT) and Oak Ridge National Laboratory (ORNL) propose to form a c...

Physical Sciences Inc. (PSI) proposes the development of a composite laminate cathode coating based largely on consumer off the shelf (COTS) industrial materials functionalized to possess a low work function, negative electron affinity surface. The cathode coating is applicable to any surface of a spacecraft, regardless of shape or material, and allows passive one wire operation for spacecraft cha ...

EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

We propose to research the feasibility of rapidly reconstituting a ground based sensor system for space situational awareness with a large fraction of the capability of the GEODSS sensor system. This system can be deployed quickly to a GEODSS site where ...

A diagnostic is proposed for obtaining instantaneous three-dimensional volumetric distributions of density in a flow field at velocities ranging from subsonic to supersonic. Two variants of laser-based Rayleigh scattering will be investigated, each of wh...

There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...