Award Data

The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...

QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...

This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

We propose a Phase II project to develop and prototype a flexible time-domain terahertz (TD-THz) instrument that can be marketed to customers currently utilizing nuclear source gauges. While nuclear gauges are an established technology, their radiological sources present on-going safety, security, regulation, and disposal concerns. A primary goal of this project is to establish that; when all tech ...

Handheldmillimeter wave (mm-wave) advanced threat detection and imaging prototypes will be designed, tested, and delivered. The advanced detection/imaging wands incorporate a low cost frequency modulated continuous wave (FMCW) radar linear array to image concealed non-metallic and metallic threats on personnel. The advanced detection/imaging wand may be used for aviation passenger screening as a p ...

This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...

In DoD systems a large number of software systems are embedded in a single platform. In the proposed research the ability to determine simultaneously the optimal allocation of resources and the associated configurations for multiple hardware/software systems will be developed in the DS Toolkit. The MDO algorithms of the Toolkit enable the new developments due to their abilities to balance decisi ...

DHS is preserving the safety and the security of America by preventing, foiling, and defeating attacks from a variety of adversaries. The increasing threats (both in terms of numbers and in terms of abilities) must be addressed successfully while facing an austere budget environment. In order to be able to "do more with less" having a capability for optimizing the resources and the assets which ar ...

MagPlasma proposes a single pass system that will collect and remove infectious particles exhaled by vehicle passengers before their concentration can reach an infectious dose level in confined spaces. Our system will capture single or multiple passengers breathing zone air; continuously filter and actively purify the air stream to reduce contagion loading; and exhaust the treated effluent air str ...

It is understood that an autonomous unmanned air, ground, or sea vehicles can incur a near infinite decision space that is difficult to capture completely in extensive simulation. The response of these vehicles to untrained environments can potentially have unintended consequences to adversely affect safety. This is of particular concern when these vehicles are considered for collaborative manned/ ...