Award Data

A diagnostic is proposed for obtaining instantaneous three-dimensional volumetric distributions of density in a flow field at velocities ranging from subsonic to supersonic. Multiple Sheet Filtered Rayleigh Scattering (MSFRS) will be developed, which enables a series of two-dimensional images to be rapidly obtained making up a volumetric image while suppressing background scattering from wind tunn ...

Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...

We propose a new fiber WDM fabrication method for single mode high power fiber laser. Our new approach will enable kW operation for both single mode fiber WDM and PCF WDM. In Phase I, a proof of concept experiment has been demonstrated. In phase II, we will target at delivery of a reliable prototypes for both step index fiber WDM and PCF WDM.

EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

The overall project objective is to develop and demonstrate a software package based on Fermi kinetics charge transport and Delaunay/Voronoi field discretization that accurately predicts semiconductor device behavior from DC up through the mm-wave and TH...

Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

ABSTRACT: In this project, IFT and its academic partner GMU developed an innovative Harness Enhanced Awareness for Radio Systems (HEARS) framework and technical underpinnings for DSA systems operating under conditions of imperfect knowledge, and used the framework to address challenging problems in satellite communication (SATCOM)DSA. As the logical core of the HEARS, Multi-Entity Bayesian Network ...

Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

ABSTRACT: LVI proposes developing an advanced framework of lifted probabilistic inference algorithms for enhancing the scaling and accuracy of text analytics. In Phase I, LVI explored the scalability of various lifted inference techniques for utilizing Markov Logic Networks (MLN) in the Tuffy software package. Phase I also included investigation and demonstration of DeepDive, a scalable, high-per ...

A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as Pararescuem ...