Award Data

"Jaia Robotics’ low-cost, micro-sized hybrid uncrewed surface/underwater vehicles called JaiaBotsTM can be deployed from the shore or vessels. The system enables truly affordable multivehicle operations that can be scaled to provide wide area synoptic data collection. In the proposed effort the project team will develop a JaiaBot which is air-deployable from sonobuoy launch tubes to collect atmo ...

A cloud based system for sharing bathymetric survey data collected by FarSounder customers is proposed as a way(1) to improve safety of navigation on our oceans, (2) to collect measurements for the broader scientific and maritime communities and (3) to generally explore and broadly share information about our oceans in fulfillment of ideas proposed in Topic 9.3 “The Changing Ocean”, and in acc ...

Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

It is important to consider lithium-ion battery limitations particularly regarding temperature range, to ensure safe and successful mission outcomes. We have developed a gel polymer electrolyte that meets stringent requirements of high safety, stability, and non-flammabilitynbsp;for implantable medical devices and plannbsp;to further developnbsp;this electrolyte for use in cells operating in extre ...

Wildfire response planning is limited by the lack of high-resolution data for use in wildfire prediction. Wildfire models depend on many variables, including weather, topography, vegetation type and arrangement, fuel moisture content, and regional fire prevention measures, among others. Some of these variables are static or nearly so, but some of these are highly dynamic. In particular, live fuel ...

NASA has previously developed its 3D-TPS conceptnbsp;which offers superior mass efficiency relative to legacy carbon-phenolic TPS.nbsp; Multiple 3D-TPS recipes developed to date includenbsp;a spun carbon:phenolic yarn constituent.nbsp; Future recipes may require alternate yarn constructionsnbsp;(denier, blend ratios, fiber chemistries, etc.) in order to tailor TPS properties to specific mission re ...

High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

C-C material systems have high strength:weight ratios at high temperatures, making them well suited for future hot structure designs.nbsp; However legacy C-C solutions are subject to poor through thickness propertiesnbsp;(for 2D laminates), or manufacturing speed and capacity issuesnbsp;(for Cartesian billets.)nbsp; These issues are often compounded for tubular or conical geometries.nbsp;nbsp;nbsp ...

We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

Next generation, 3D-TPS heat shields based on 3D weaving technology offer potential for increased mass efficiency relative to legacy solutions.nbsp; However, width, thickness and unit cell size combinations of 3D-TPS designs being considered for future missions are pushing the limits of current 3D weaving looms and driving the need for new or significantly modified set-ups.nbsp; With this SBIR Pha ...