Award Data

There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...

This Small Business Technology Transfer Phase-II project will design, develop and integrate an effective and efficient motion blur elimination algorithm to Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS) system by optimizing and implementing the algorithm proposed during the Phase-I investigation to FPGA. In addition, an image enhancement toolkit for ground station ...

Unmanned systems play a critical role in military operations across a wide range of missions. The DoD’s Unmanned Systems Integrated Roadmap identifies leader-follower tactics, swarming capabilities, sensor advancements, collision avoidance, and GPS-denied solutions as key technologies to support autonomy. Advances in these areas are needed to support coordinated multi-aircraft maneuvers and swar ...

This Phase II proposal intends to design and develop a robust wireless video image sensor system capable of long term reconnaissance and surveillance deployment. Video images of targeted object would be captured via an all-weather, low-light, high resolution camera and broadcast to locations world-wide through satellite communication transceivers. Command centers as well as tactical patrols near t ...

Triton Systems, Inc. proposes to develop a piezo-textile that can capture underwater explosion pressure wave patterns to ultimately establish and monitor for injury risk severity. We propose to use a state-of-the-art piezo-textile to which we will apply our own proprietary treatments.We will assess our textiles pressure detection performance and durability against a non-textile piezoelectric array ...

In Phase I of UBER-HEB, the Aptima team made significant progress designing a non-von Neumann hierarchical universal learning system based on the Ersatz Brain Architecture (EBA). An experiment using an EBA implementation showed emergence of module assemblies, a critical step in validation. In Phase II, we propose to focus sharply on an important, well-characterized problem ideally suited to the EB ...

We propose scalable, linear-time models and algorithms for online social network analysis that remedy limitations of current state-of-the-art models by creating a capability for tracking, predicting affiliations, and roles of participants in and across online communities. The model goes beyond simple clustering and community detection by using more of the message in the media, i.e. by taking into ...

As systems become more heterogeneous and distributed, determining optimal actions for each “teammate” within the system becomes increasingly complex. A particular difficulty in guiding the actions of these teammates is the fact that they are not guaranteed to follow suggestions provided by a supervisor, especially when those suggestions are inconsistent with the teammate’s tendencies, prefer ...

As systems become more heterogeneous and distributed, determining optimal actions for each “teammate” within the system becomes increasingly complex. A particular difficulty in guiding the actions of these teammates is the fact that they are not guaranteed to follow suggestions provided by a supervisor, especially when those suggestions are inconsistent with the teammate’s tendencies, prefer ...

In Dense Urban Environments (DUEs), a new and evolving battlefield, the ability to detect and respond quickly to multiple threats in complex environments (e.g., snipers on rooftops or in windows) is critical and is extremely important to both civilian and military tactical needs. Response latency in the critical moments after the beginning of an attack can significantly increase casualties. SWIFT ...