Award Data

In order for manufacturers to unlock the promise of AI for data-driven decision making, they need visibility into large volumes of unstructured knowledge trapped in technical language like work order notes. The process of annotation and knowledge extraction from unstructured technical language data is currently a time consuming and challenging bottleneck to adopting machine learning at scale. In N ...

The proposed innovation uses a model-based approach to streamline understanding and application of standards. NIST standards addressing cybersecurity, presented in the form of documents, spreadsheets, and database tools, provide thousands of complimentary and overlapping items for users to track. Significant effort is expended understanding the standards before attention can be focused on the syst ...

Parman Tech will build a first prototype embodying the NIST-owned technology ‘Optical Particle Sorter.’ The prototype will demonstrate feasibility of a commercial implementation of this technology. The prototype will also serve as the model for subsequent production of several beta-units to be used for obtaining customer feedback and eventually validation of the product.

The proposed innovation will use a model-based approach to streamline understanding and application of standards. NIST standards addressing cybersecurity, presented in the form of documents, spreadsheets, and database tools, provide thousands of complimentary and overlapping items for users to track. Significant effort is expended understanding the standards before attention can be focused on the ...

In order for manufacturers to adopt data-driven decision making, they must tap into unstructured data that sits unused. The process of annotation and knowledge extraction from unstructured text data is a time consuming and challenging bottleneck to adopting machine learning at scale.  This Phase I SBIR proposes implementation of an enhanced cloud-based platform enabling maintenance and other orga ...

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 ...

Pacific white shrimp is the most important species in shrimp aquaculture, making up the majority of the US$6.5 Billion worth of farmed shrimp imported into the US in 2017. The dominance of this species in shrimp aquaculture is due to the development of domesticated strains and years of continuous genetic improvement. Recent advancements in genome selection allow faster and more accurate selection ...

Zeteo Tech, Inc. and FLIR Systems will develop a concept for the Development of ZTF Occupant Detection System. ZTF will use a rigorous systems engineering approach to mature the ZTF Vehicle Occupant Detection System conceptual design to a highly functional, cost-affordable design of a pre-product that would be developed and tested in a Phase II effort.ZTF will conduct a marketing study to evaluate ...

Currently traction motors are typically maintained on a Time-Based Schedule. The move to a more cost-effective Condition-Based monitoring system faces multiple challenges - primary among them being the complexity of wiring and instrumenting sensors in the ruggedized rail environment and the difficulty of extracting intelligible information from the data collected in a noisy environment. Forcing Fu ...

The prevailing approach to train maintenance is to service trains on a time or mileage basis. While the basis for such activities is based on empirical failure data it does not take into account if parts or components actually need replacing and it does not prevent component failure in service should that occur between scheduled maintenance points.The principles of Condition Based Maintenance have ...