Award Data

ABSTRACT: Threat detection of people, vehicles, and others as well as person-vehicle interactions (dismounts) of possible malicious intent are difficult problems due to the complexity of the problem space. The wide area motion imagery (WAMI) systems aid analysts to track and identify dismounts, but typically produce an overwhelmingly large amount of information. The large scale data input challeng ...

ABSTRACT: Current methods for inspecting the external surface of manned and unmanned low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by significantly increasing aircraft reliability and availability while reducing lifecycle maintenance costs. To address this need, Intelligent Automat ...

ABSTRACT: We propose here a robust production-level high-order mesh generation software for complex geometries. High order accurate numerical methods are becoming increasingly popular in the present time and have demonstrated a great measure of success in efficient error-controlled simulations for a wide variety of important problems. A curved geometry and mesh generation system is essential in m ...

ABSTRACT: LVI proposes developing an advanced framework of lifted probabilistic inference algorithms for enhancing the scaling and accuracy of text analytics. In Phase I, LVI explored the scalability of various lifted inference techniques for utilizing Markov Logic Networks (MLN) in the Tuffy software package. Phase I also included investigation and demonstration of DeepDive, a scalable, high-per ...

ABSTRACT: This effort is a close collaboration between RMD and Alfred University. Our goal is to develop a process for producing optical ceramics with properties approaching or exceeding single crystals. Ceramic processing can provide enhanced performance, lower cost, higher yield, relaxed constraints on size and shape, and materials that are difficult or impossible to grow as crystals. We will ...

ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...

ABSTRACT: We exploit recent advances in magnetoelectric/piezoelectric (ME/PE) composite materials to enable the development of efficient sub-wavelength radio frequency (RF) transmitting antennas. With these materials will be possible to achieve high dielectric permittivity and magnetic permeability, slow electromagnetic propagation and low RF loss tangents. Together, these special properties m ...

ABSTRACT: Two accelerating trends in military aircraft design and development are apparent: (1) increasing system capabilities in terms of weapon systems, ISR payloads, guidance, navigation and control (GNC), etc., enabled by ever-smaller and evermore capable electronics; and (2) reduction in overall size and available space for auxiliary equipment (and associated wiring, etc.) to measure and asse ...

ABSTRACT: A range segment upgrade for Air Force satellite control network (AFSCN) will significantly improve system effectiveness via spectrum sharing and seamless interoperation. However, the upgraded system requires new capabilities such as real-time and accurate RF interference detection and mitigation, array antenna backlobe/sidelobe suppressions, accurate performance degradation prediction, ...

ABSTRACT: The Triton team proposes to develop techniques for fabrication and characterization of high performance biofunctionalized field effect transistors (bio-FETs) for sensing applications. Nanoscale electronic materials such as silicon nanowires, carbon nanotubes and graphene are promising materials for biosensing applications. Field effect transistors (FETs) using nanomaterials have been de ...