Award Data

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

ExMat Research proposes to develop a hardened and cost-scalable laser-based temperature diagnostic system capable of spatially quantifying the localized temporal evolution of temperature in a detonation environment. During Phase I, we will attempt to determine the technical feasibility of the proposed concept. While ExMat Research will be guiding and overseeing the overall project, Washington Stat ...

Radiation effects in microelectronic components are a significant concern for the reliability of DoD systems that operate at high altitudes or in outer space. Typical characterization efforts focus on macroscale degradation signatures from electrical measurements at device terminals. However, a comprehensive analysis of radiation-induced physical defects is not possible based solely on terminal me ...

Dimensional and compositional metrology of small-scale microelectronics, less than 22 nm, is becoming increasingly difficult as the architecture of these devices is becoming more complex. Key metrological measurements of Fin devices require 3-D metrology at less than 0.5 nm spatial resolution as well as single atom characterization to identify device composition and chemical distributions. This is ...

In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens, whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial and alphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable an ...

We aim to improve the imaging quality of metasurface-based image sensors by using a stack of freeform metasurfaces made of silicon nitride nanopillars and computational post-processing. Multiple metasurfaces will be used to engineer the incident wavefront, which will be further processed using computational algorithms. We will primarily focus on using this computational imaging approach to capture ...

The proposed approach provides innovative sensor data association algorithms capable of performing correct data association in multi-target tracking environments with one or more sensors. Current air and missile threats have the ability to fly non-ballistic, highly maneuvering hypersonic trajectories, and the ability to maintain closely spaced trajectories. Improved detection/track association is ...

This topic seeks an innovative NL solution for answering questions that data analysts ask when analyzing data sets to increase efficiency and consistency. The government is working on an all-digital missile defense simulation architecture that will deliver massive amounts of simulation data. Data analysts will soon be inundated with more data than they can possibly analyze manually. A critical par ...

The most direct way to meet the technical objectives for the Secure Virtual Environment (SVE) for Cyber Resiliency Validation would be to replicate the missile defense system’s tactical hardware, software, and network. However, this is cost prohibitive due to the amount of hardware procurement required for the Cyber test environment. Luckily, with the exception of supply chain threats, firmware, ...