Award Data

ARI is developing an aircraft exhaust sampling system that transitions condensable species to the condensed phase in a manner that mimics what happens when the exhaust is emitted into the atmosphere. Standard engine-exit plane measurements are not suitable for these volatile particles because they form downstream of the aircraft as the exhaust plume mixes with ambient air and cools. Downstream mea ...

Next generation EO/IR Nanosensors are needed for a variety of Military Systems Applications. These include UV, Visible, NIR, SWIR, MWIR and LWIR bands. Magnolia as part of the proposed Phase II SBIR Program plans to design, model and develop carbon nanostructures based detector array for next generation multicolor IR imaging applications. The key components of the Program will include evaluating ...

A wealth of studies involving the effects of army materiel on ground soldier task performance exist, but the flow of data from these studies into ground soldier simulations is slow. Modeling these effects in a ground soldier simulation is important, because it takes into account factors that directly impact the ground soldier. Through continuing research, the Task-related Effects of Encumbrance ...

The iRobot team proposes to develop a deployable pedestrian detection module that will analyze a monocular video stream and identify all instances of visible pedestrians. To address the problem of pedestrian detection, we will employ data-driven approaches that help recognize specific appearance and motion patterns generated by moving humans. We will also develop detection algorithms that can leve ...

In this Phase II SBIR Army Program, Physical Sciences Inc. will design, build, and test a novel high-gain, quasi-volumetric, directive antenna array comprising advanced single radiating elements that were demonstrated in Phase I. These single quasi-volumetric elements provide more directive pattern, greater bandwidth, and higher gain than conventional dipole antennas in less than half the linear ...

The resolution of complex and time-sensitive tasks often requires the collaboration among people of diverse knowledge and expertise. Collaborators benefit from each other’s knowledge and expertise by developing a shared understanding of who knows what. These distributed knowledge structures are referred to as “transactive memory systems”. The configuration of modern work groups and organizat ...

This SBIR Phase II, Requirements-Based Cost Models, will develop software to enable cost managers to extrapolate costs of complex systems with higher fidelity than current approaches. Identifying the true costs of transitioning technologies from concept to production is complicated by many factors, from the lack of a known cost basis from which to estimate new requirements to difficulties in ide ...

Accurate Automation Corporation (AAC) has developed a new artificial neural network processor (NNP) based upon a sparse Multiple Instruction Multiple Data (MIMD) structure which is ideally suited for Electronic Warfare (EW) applications. The proposed research will investigate the use of the AAC NNP for EW applications such as emitter identification which is used in ELINT, ESM, and RWR receivers. T ...

We propose to develop an automated Pilot Induced Oscillation (PIO) detection and compensation system. This will use artificial neural networks to increase speed and the envelope of operation. PIO is caused when a pilot overcompensates during a "high gain" task such as landing, takeoff, refueling, dropping stores, or tracking. It can also be caused by inefficiencies in the inner loop controllers ...

The feasibility of fabricating hypersonic aircraft components from metastable Beta Titanium alloy (Beta 21S) will be investigated. Techniques for the fabrication of the leading edges, inlet, and nozzle areas of a hypersonic (Mach 4-5) testbed aircraft from Beta 21S will be selected and preliminary drawings, specifications, and test procedures for these components will be developed.