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There are many challenges in addressing the problem of Political Will. The first is developing a clear, complete, consensual definition of Political Will driven by both theory and field practice. But a larger challenge is deconstructing and unpacking the Political Science and Social Science concept of Political Will into its complex constituent elements in order to arrive at their computational, r ...

In today's complex, multi-dimensional, coalition, effects-based campaigns; commanders must be able to "see" the situation in their decision making tasks. The modern fighting force is privy to an enormous array of intelligence gathering, database, and sensor sources of information to the point of over-saturation. Methods for visualizing the information in an intuitive manner must be established for ...

In order for collaborative Intelligence, Surveillance, and Reconnaissance (ISR) to become a viable mission for an ever-expanding heterogonous UAV fleet, UAV autonomy must achieve autonomy level four (i.e. on-board route re-planning) and beyond (i.e. increasingly complex group coordination), so that operators are not overwhelmed with routine operational decisions. For UAV platform routing, current ...

Improved understanding of mechanisms controlling bone conduction (BC) sound transmission, especially with respect to acoustic excitation, is urgently needed in order to develop more effective hearing protection in extremely high noise fields. The Phase I research program made great progress toward this goal by yielding new insights into a mechanism believed to be a significant contributor to BC s ...

Real-time estimation of relevant ionospheric parameters is required for military applications and to further our understanding of space weather and its societal and technological impacts. Currently, a major limitation in the modeling of ionospheric physics is a complete lack of input data measurements. The HF transmitter/receiver system proposed here contributes measurements of the bottom-side ion ...

A reduced-order signature propagation model, with comparable full scale finite-difference time-domain (FDTD) accuracy is proposed. The reduced-order model achieves reductions in computational resources and time. Existing FDTD acoustic and seismic sensor models require supercomputing / multiprocessor level resources, which are impractical in a real time military / battlefield environment. The pr ...

The objective of this STTR Phase II proposal is to build a versatile, near-surface light weight multifunctional metallic structure that can be used for magnetohydrodynamic (MHD) control and power generation. In order to achieve these goals, a controlled plasma must be generated in air with high efficiency, the air must pass through a strong magnetic field, and current must be able to flow through ...

Reconstruction and Stabilization (R/S) is a trans-disciplinary challenge that must be met through the establishment of an enterprise-wide planning culture that dynamically assembles and maintains an R/S community of interest (COI), which encompasses U.S. Government agencies, allies, international and non-governmental organizations. USJFCOM and the US Department of State's Office of the Coordinator ...

The asymmetric threat poses perhaps the most dangerous risk to US forces and assets both overseas and at home. The sheer amount of data that needs to be analyzed in order to identify suspicious entities and networks is analogous to finding a needle in a haystack. To overcome this problem we must identify advanced techniques to automatically identify networks of suspicious activity while also pre ...

ObjectVideo and University of Southern California propose to develop innovative algorithms and demonstrate a framework for robust and efficient visual tracking using Adaboost-based target detection methods, kernel-based tracker, and robust method for multi-frame data-association. The key issues of multiple target tracking are: variations in target shape and appearance due to camera viewpoint and i ...