Award Data

This proposal is a collaborative effort between MRV Systems and the Woods Hole Oceanographic Institution. The goal is to develop a new, small, inexpensive autonomous vehicle to investigate mixed layer dynamics and turbulent mixing. The preliminary Phase I design, a Diagonally Operating Platform (DOP), is a profiling float with moveable fins. DOP will turn toward an intended direction within a few ...

This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...

The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAV’s platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV’s airframe and achieve ultrafast and ...

Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to show the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes big ...

Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

Differential equations are widely used to analyze and simulate the dynamics of complex systems in the physical, biological and social sciences. Inferences with such models are challenging due to both statistical and computational complexity. Stan is a widely used, open-source, probabilistic programming language and Bayesian inference engine. We propose to extend Stan by incorporating solvers for o ...

We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...

Qualtech Systems, Inc. (QSI), in collaboration with Vanderbilt University (VU) proposes to develop a state-of-the art Health Management System (HMS) system consisting of a small form factor GPS-enabled onboard computer, a small display for crew, and sensors for boat and engine vibration, OBD data, engine oil quality monitoring, and battery health monitoring. The HMS system will provide Wi-Fi and w ...