Award Data

To reduce size, weight, power and cost (SWaP-c), military platforms have been evolving towards more integrated platforms that utilize all available space. For radiating systems, this will require exploring innovative design methods, materials and manufacturing approaches to realize cost-effective, customizable and conformal antennas. An attractive solution to this challenge is offered by additive ...

We propose to develop scripting language enhancements to enable the rapid synthesis of publish-subscribe fuselets through a unified framework for subscription and resource discovery based on XPath and XQL extensions, to design and prototype itsimplementation in an extensible manner by mapping onto existing interpreter and runtime infrastructures using a combination of dynamic source-to-source tran ...

This project will investigate the use of offensive binary analysis techniques to extract data from program binaries for use by a runtime diagnostic engine capable of malware detection and response. The open-source Angr framework provides the basis for the tools used to collect the analysis data needed to support a diagnostic engine. A diagnostic engine capable of using these collected results will ...

In the domain of weapon/fire control systems, embedded software will be a key costdriver in the next generation. The omnipresence of embedded systems in today's marketand the quality of requirements that these systems are expected to meet, put a greatdeal of pressure to bear on the techniques used to develop these systems.The technical objectives of the Phase II SBIR are to:(1) Build a scaleable I ...

Scheduling is a complex, NP-hard problem that challenges the use of any single solution technique. In Phase I, we built a model that uses our multi-technique Quantum Leap Problem Solving Engine to solve a representative but simplified version of the AirForce Satellite Control Network (AFSCN) contact scheduling problem. The system demonstrated that it could schedule the hundreds (500 to 600) of t ...

Scheduling is a complex, NP-hard problem that challenges the use of any single solution technique. In Phase I, we built a model that uses our multi-technique Quantum Leap Problem Solving Engine to solve a representative but simplified version of the AirForce Satellite Control Network (AFSCN) contact scheduling problem. The system demonstrated that it could schedule the hundreds (500 to 600) of t ...

The Autonomous Environmental Routing Onboard (AERO) system is an innovative software-hardware solution that performs onboard processing of environmental information from multiple sources to execute autonomous route adjustments for Unmanned Aircraft Systems (UASs). This processing and resulting autonomy minimizes negative environmental impacts while leveraging advantageous conditions for executing ...

This proposal is aiming to cover the capability gap in the following two main areas. These are (1) the sensitive site exploitation (i.e. screening of biometrics and identity intelligence at the point of capture) and (2) the exploitation of existing traditional and non-traditional sensors, namely using close, i.e. up to 30 feet, long, i.e. 30-1000 feet, and extreme range, i.e. 1000 feet plus, day a ...

Accurate and timely weather information for situational awareness is critical to the success of Air Force missions. To date, space-borne sensors for weather forecasting primarily include visible, infrared, and microwave instruments. While visible and infrared sensors have reached a high level of maturity and performance, those operating in the microwave region of the electromagnetic spectrum conti ...

Soil moisture is an important parameter for AF weather measurements and forecasting. It impacts Army operations (off-road mobility, land operations) and Intelligence Community’s knowledge (agriculture: social unrest). AF has classified soil moisture measurements and data as a DoD space-based environmental monitoring gap. If unmitigated, the lack of soil moisture data will diminish our asymm ...