Award Data

The utility of continuously tracking vehicles in a battlefield has been demonstrated during the Gulf War and other recent conflicts. However, the ability to achieve reliable continuous tracking in many environments will require the use of FOPEN radar andefficient use of sensor resources. In this effort we extend current research to include heterogeneous terrain and apply this model to simulations. ...

Interpretation of video imagery is the quintessential goal of computer vision. The ability to group moving pixels into regions and then associate semantic labels with those regions has long been studied by the vision community. Only recently have thecomponent technologies matured sufficiently to make this goal attainable for well-defined scenarios. We propose a system for semantic interpretation o ...

Having demonstrated the feasibility of fMRI in awake dogs, we are now ready to move forward with a program aimed at extending this technology to the point that a reliable training regimen can be deployed to a wide range of service and working dogs. The ad

iK9, LLC, and Auburn University shall collaborate in the development of prototype procedures for conducting cognitive neuroscience studies employing fMRI imaging of the brains of unrestrained dogs while they are in an awake and responsive state. IK9 is an

VIStology, Northeastern University and BBN are proposing a standards-based solution to seamless insertion of new RF devices and capabilities into multifunction Electronic Warfare (EW)/Intelligence, Surveillance and Reconnaissance (ISR) networks without re

The Mide/University of Colorado - Boulder team is proposing to use Boulder"s modeling capabilities to model the unsteadiness of the pulse generated pressures, temperatures and swirl to provide the flow information needed to optimize the turbine stages for

The analysis of interactions within social media has received significant attention in recent years with respect to cybercrime prevention, online marketing, counter-espionage, political opinion trending, and intelligence analysis. However, while detailed study of these interactions might lead to powerful insights, the sheer quantity of data generated via social media makes manual analysis infeasib ...

We propose to develop novel, scalable technology for detection and of tracking of new and existing groups in social media, together with a comprehensive set of indicators for inferring group activities and interactions. Focusing initially on Twitter data, our approach will extend existing"static"models of community structure to properly fuse both topic-based and topological information, and will u ...

Large-scale genome engineering represents a broad group of technologies, all of which stand to impact the manufacturing of a range of biological and chemical products. While the power of these methods to increase the production of biologically-driven manufacturing processes has been previously demonstrated, they are often developed and optimized toward a single target, or single methodology. Curre ...