The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.
SBC: DECISIVE ANALYTICS CORPORATION Topic: MDA12005
In this Phase II effort we will produce a multi-sensor discrimination system using a Manifold Learning (MFL) algorithm originally developed under a prior effort.Whereas other discrimination systems utilize features defined by subject matter experts (SMEs), our MFL algorithm learns important characteristics of a target through training with historical data.In prior work, we have applied our MFL alg ...SBIR Phase II 2014 Department of DefenseMissile Defense Agency
SBC: SYSTEMS ENGINEERING ASSOCIATES CORPORATION Topic: MDA12031
Missiles, use electro-explosive devices (EEDs) to perform mulitple functions during operation. This effort seeks ways to improve on the EED"s reliability and lower the failure or inadvertent activation rate of these devices. During Phase I, SEA CORP investigated replacing EEDs with commercial off the shelf (COTS) automotive airbag inflators to perform the required pneumatic functions of variou ...SBIR Phase II 2014 Department of DefenseMissile Defense Agency
SBC: McQ Inc. Topic: MDA12007
McQ has developed the Fragment Size Analysis and Tracking (FSAT) system which replaces the ring of switch screens used to record fragment impact time in ground based arena and sled testing with a network of sensors containing high speed cameras. FSAT will record and analyze video of warhead fragmentation then automatically produce a report describing the mass, size, speed, and trajectory of each ...SBIR Phase II 2014 Department of DefenseMissile Defense Agency