Award Data

In this proposal, AlphaSense, Inc. (AI) and the Oklahoma State University (OKState) detail the development of a novel Cavity Enhanced Terahertz Absorption Spectrometer (CETAS). Key innovations of the proposed system include: a) the use of a small Whispering- Gallery- Mode (WGM) cavity to achieve very long pathlength; and b) the integration of the WGM cavity with the conventional pulsed and continu ...

In this proposal, AlphaSense, Inc. (AI) and the University of Michigan (UM) detail the development of a compact, portable, and low cost in-process weld defects detection system. Key innovations of the proposed system include: a) weld defects monitoring based on plasma emission characteristics; b) use the electron temperature of the plasma as an indicator of the weld quality, c) use multiple plasma ...

Topic Synopsis: Current aircraft disposition tools are not designed to take advantage of predictive prognostic information that will be available on new systems such as the F-35 PHM system or the proposed Maintenance and Monitoring system for the E-2D Hawkeye. The central challenges in this topic are to (1) develop automated reasoner technologies to distill large volumes of PHM data into actionabl ...

In Phase I of this project, FTG researchers showed that complete and uniform coatings of metal-coated particulates provide a mechanism for improving particle distribution, enhancing mechanical properties of fabricated components, and significantly improving the performance of reactive materials. This permits the creation of fully dense and high-quality MMCs for the production of bulk materials/coa ...

ANP Technologies proposes to integrate a commercially available air sample concentrator from ICx MesoSystems with our automated detection instrument that uses the NIDS® multiplexed assays and NIDS® Auto-Reader (AR) device. A trigger device may also be incorporated into the final system, which might better enable the system to serve as a remote monitor of air streams. The proposed effort will b ...

We study the problem of sensor calibration as it might be applied to a tactical UAV system where operability and robustness are paramount. A large number of airframes and diversity of sensor types argues for an approach that is low cost (exploiting calibration targets in the field) and applicable for various sensors. The study considers various approaches to sensor calibration and measurements e ...

For this project, we plan to collaborate with researchers in the neuroscience department at the University of Delaware to develop an FPGA-based embedded computer, inspired in the brains small vertebrates (fish). The mechanisms of object detection and avoidance in fish have been extensively studied by our Delaware collaborators. The midbrain optic tectum is a biological multimodal navigation cont ...

In an information warfare scenario, the enemy will deploy an attack that has never been seen before. This attack will completely debilitate both defensive and offensive software capabilities. We have designed and developed a system that will defend against such attacks. The project's major innovation has been a comprehensive approach for tolerating security violations in mission/safety critical ...

FPGAs have attracted a great deal of attention over the past decade because of their performance, scalability, and cost relative to traditional hardware platforms. However, one of the most significant disadvantages of FPGAs is based on the underlying architecture on which they are built. Specifically, routing delay through the chip is one of the largest bottlenecks in developing FPGA-based appli ...

Improved observations of the battlespace are of key and growing importance in today’s combat environment. UAVs are making key contributions in this area, and sensor improvements are a key part of increasing UAV capabilities. However, all sensors are subject to degradation under detrimental environmental conditions. Adding a sensor system to UAVs that enables the real-time identification and a ...