Award Data

Refrigerants are known to have harmful impacts on the environment. It is essential that those that are particularly harmful with a high global warming potential (GWP) are recovered correctly for proper recycling or disposal. Unfortunately, all too often, refrigerant is not properly recovered either due to system failure, technician error, or unincentivized industry practice. With implementation of ...

The TARgeting Distributed Sensors for Situational Surveillance (TARDIS3) program will study the feasibility of sensor-leakage techniques to enable explosive event detection without relying on friendly human or technological assets. Specifically, we propose placing targeted advertisements through public marketplaces that request and surreptitiously exfiltrate the sensor data needed to detect and lo ...

This work aims to push the commercialization of perovskite crystals in a direction that is useful to the warfighter.  H3D will rely on Actinia, a startup company that is bringing the perovskite inventions from Northwestern to market to provide samples of perovskite.  Actinia will grow the crystals and fabricate the contacts and H3D will do final assembly and testing of the detectors.  H3D will ...

In this SBIR project, we will develop an efficient, low-cost, rad-hard imager of ionizing radiation (focusing primarily on gamma-rays during Phase I but also expanding to fast neutrons during Phase II) that has high angular (< 2°) and energy resolution (< 2% at 662 keV) that can be handheld (< 4 kg system mass) and has a low operating bias (< 200 V) for its sensing pixel elements. Current radiati ...

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Michigan Aerospace proposes to retrofit the Egret LIDAR technology to improve operation stormwater management infrastructure. The Egret LIDAR is a novel sensor that can monitor stormwater without submersion. Using LIDAR remote sensing, the Egret can measure turbidity, surface height, water depth, flow speed, and suspended particle sizes from above the water surface. The Egret measures water proper ...

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ML is a subset of AI. Discrimination based on SI signals is a module in monitoring systems(NDC & IDC. We will provde a prototype  that will incorporate elements of the discrimination procedures found

Global Optimization of Graph Learning Structures (GOGLS) is a platform- agnostic method of globally optimizing search graphs from individual autonomous agents using techniques derived from federated learning. The GOGLS mission and focus will be to provide a learning framework for robots to share search information and in essence, see through the eyes of their neighbors.  The GOGLS system relies o ...