Award Data

We are proposing to enable automated discovery of machine learning pipelines on graphs using our system of accelerated primitives. While our existing technology greatly reduces the need for users to understand super-computing, it still requires expertis...

Electromagnetic spectrum (EMS) awareness continues to be a critical capability for military dominance in the field. The number, dynamics, and types of sources in an increasingly congested RF spectrum has shifted the focus of DoD research away from large ...

A challenge for Artificial Intelligence recommenders is explaining their reasoning to users. Humans tend to explain concepts with symbolic narratives, which contrasts the way non-symbolic machine learning represents concepts. This research addresses this challenge by grounding the research in the problem of helping transitioning veterans find relevant careers. The developed prototype will provide ...

CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

The QIF standard shows the promise of offering an environment where best-in-class metrology applications can be linked to yield solutions that are automated, optimized, adaptive, and traceable, maintaining the agility required to ensure U. S. global competitiveness. While the QIF standard has reached a substantial level of comprehensiveness and maturity, the embodiment of the standard in actual, c ...

There has been substantial development in data analytics. However, the complex mathematical formulation of “big data analytics” is difficult to populate in general manufacturing plants. There is a need for an SPC-like tool to enable the acceptance of the advanced data analytics and its visualization. The MD Compiler, a tool to bridge the gap between data available and the information demanded ...

Network measurement is a critical element in networks but it has largely been an afterthought and inadequately secured. With the emergence of Information-Centric Networking technologies, specifically the popular open source Named-Data Networking (NDN), there is the early stage opportunity to create a useful and flexible network measurement system that can accommodate a range of network probes. Thi ...

Steven Winter Associates, Inc. (SWA) hereby proposes to undertake research to develop a self-configuring residential conditioned air zoning system for low load energy homes. The Phase I prototype will feature zone nodes and a master controller. The zone nodes will measure and wirelessly report environmental conditions to the central controller, and modulate a damper based on commands received from ...

A dual plane Compton imager prototype system with large volume pixelated CZT detectors will be built for spectrally resolved MeV gamma ray tomographic applications. These two planes will be operated at independent clocks and they will be synchronized via a common periodical pulse. The common periodical pulse is self-generated so it does not rely on external pulse generator. Each detector will be c ...

In this SBIR effort, Nikira Labs Inc. proposes to develop a compact Raman fiber optic probe with inline spectral filtering that improves fiber-coupled Raman measurements by filtering out Raman scattering from the excitation fiber and elastically scattered laser light from the collection fibers. The technology will enable compact fiber probes for Raman studies and complement existing NIST Raman spe ...