Award Data

This SBIR Phase I project will develop an evidence-based approach to maximize learning for K-12 students and predict learning outcomes. We propose to analyze data at multiple levels, including individual and group assessment data, and characteristics of the student, teacher, principal, and school. Using this data, we will categorize performance levels, determine the strengths and weaknesses of t ...

There is an acute need for a networked chemical sensor that is inexpensive enough to allow it to be treated as a disposable item - deployed and left in-place until the end of its useful life, or until operations move out of communications range. Electrochemical microarray sensors can be fabricated at low enough unit cost to make the development of a disposable sensor node feasible. These sensors ...

We propose to develop a forward-deployable, three-dimensional visualization capability suitable for incorporation into web-based, next-generation consequence assessment models, such as the Joint Effects Model (JEM) and the Integrated Weapons of Mass Destruction Toolset (IWMDT). The thin-interface, web-based, image-server visualization model will enable more informed decisions by the consequence as ...

Strategic DoD satellite and missile systems (Space Based Radar, Space Tracking Surveillance Systems) operate in harsh radiation environments, and will be increasingly based on novel sub-100-nm semiconductor technologies and highly complex circuits. To ensure interruption-free operation, accurate prediction of the radiation response of these technologies and circuits is critical. Predictive calcula ...

We propose to improve the accuracy and capability of Numerical Weather Prediction (NWP) and Atmospheric Transport and Dispersion (ATD) models by performing a tight, downscale/upscale coupling of a community NWP forecasting system, WRF, with a special purpose, urban-to-microscale Computational Fluid Dynamics (CFD) model. This new capability addresses “bridging the gap” between the mesoscale and ...

We propose to develop a capability to correct and calibrate intra-urban sited meteorological stations data for subsequent use by NWP, ATD and force protection models. This new capability will provide a number of related innovations, including: a standalone software capability to assist in the siting of meteorological stations in urban areas; the development of sensor-centralized vertical profiles ...

Our solution to the automated feature extraction problem will leverage the material properties that can be inferred from combining multispectral imagery with high resolution elevation data or LIDAR data using a trainable knowledge base. Multiple imaging bands provide a more complete picture of the material involved than ordinary RGB. This can help distinguish between a green grass lawn and a gre ...

onal evaluation, that concentrates on the service area of Education Data Management. The plan will investigate the requirements involved in providing readable and interpretable test results for teacher and principal use. Realizing testing is only as good as the teaching, teaching is only as good as the environment and the environment is only as good as its resources; this project will be a result ...

School reform efforts call for using scientific approaches to making decisions in education. Currently, data are available to inform decisions, but many educators are not well equipped to understand quantitative information, how to use it, and how to communicate quantitative results. During Phase I, we will conduct focus groups and surveys, and train educators to use data to help students succeed. ...

The Phase 2 objective is to provide NIST with a modular gauge head unit equipped with InsituTec's standing wave probe technology. The complete gauge head unit will be retrofitted to the NIST M48 which is one of the most precise measuring machines in the world. This unit will enable NIST to achieve the agency's program goal in dimensional metrology which is to provide microscale measurement capacit ...