Award Data

ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

ABSTRACT: To address the Air Force need for an adaptive optics system using a fiber laser array as the spatial phase correction system within the subaperature of an array of discrete telescopes, Optonicus and The University of Dayton propose the development of a new Scalable Adaptive Fiber-Array Elements (SAFARE) system. The integration of new fiber-array architectures with novel imaging and ada ...

Over the past 2 years, Roccor has successfully qualified and delivered High Strain Composite (HSC) products for space-flight customers including, 1) RF-Furlable boom, 2) a furlable-antenna system; and is currently qualifying HSC products for space-flight customers including 3) an FCC certified deorbit device, and 4) a solar array deployment system. Three of these missions will be launched in 2018. ...

To streamline data processing in, e.g., hyperspectral imaging, new massively parallel data processing circuits are needed. The team of MicroXact Inc. and UC Santa Barbara propose to develop circuits based on completely novel computing paradigm, which could be extremely efficient (i.e. dense, relatively inexpensive, and consume very little power) for massively parallel signal processing. We offer t ...

We propose to develop a commercial weakly ionized plasma modeling capability based off of Tech-X’s high energy density plasma fluid code TxFluids. The new additions will be able to be used to model hypersonic vehicle physics including shock waves, plasma chemistry and innovative techniques for blackout mitigation and hypersonic vehicle control through the application of electric and/or magnetic ...

For this STTR Intelligent Automation, Inc. teams with researchers from University of Maryland, College Park to develop SLA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking ...

Majority of mission critical systems store and transport heterogeneous information with multiple level of security , which requires assured information segregation. The proposed technology is a software solution to provide highly assured data and process separation and isolation.

A mathematical framework for detection and classification of weak, distributed patterns on computer networks is proposed. The framework will provide rigorous methods for understanding performance bounds and optimality of intrusion detection methods, while also providing concrete and implementable algorithms. The algorithms will find immediate application in cyber-security efforts, as well as mor ...

ABSTRACT: This Phase-I research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based o ...

ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...