The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.
SBC: Signature Research, Inc. Topic: 1
Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
Enhanced Reliability of Radiation-hardened III-V Semiconductor-based Field Effect Transistors Using C-doped Low-temperature BufferSBC: Quantum Epitaxial Designs, Topic: N/A
Low-temperature MBE grown GaAs (LT-GaAs) contains a high concentration of excess As which gives rise to ultra-fast carrier-trapping time and excellent radiation hardness. In as-grown layers most of this excess As is in the form of As(Ga) antisite defects, of which only ~1% are ionized. Thermal annealing upon overgrowth with a device structure or during device processing results in a decrease of ...SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency
SBC: CHI Systems, Inc. Topic: N/A
"The primary objective of this effort is to develop a robust object matching system that can be applied to a variety of image exploitation needs. The analytical decisions by our proposed context aware, neural column-based image expert (CANCIE) will utilizecontext knowledge or expectations about the current "mental space," as well as imagery having an object matching component and an analysis com ...SBIR Phase I 2002 Department of DefenseNational Geospatial-Intelligence Agency