Award Data

ABSTRACT: Our focus in this proposal is to perform basic research to create bio-inspired 3-D morphing mechanical structures which are a gateway technology to enable true 3-D morphing flight. Prioria and Virginia Tech University will team to perform basic research into bio-inspired structure such as artificial bones/wings/feathers and artificial muscles. Prioria will establish technical feasibility ...

ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

ABSTRACT: Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and proce ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

DOLCE Technologies, LLC, in collaboration with Professor Rick Averitt’s research group at Boston University and Eric Shaner’s group at Sandia National Laboratories, will develop and deliver a high performance room-temperature Terahertz detector array solution based on metamaterial absorbers integrated with bi-material cantilevers. The metamaterial approach is frequency scalable and can operat ...

This Small Business Technology Transfer Research phase I program will develop a new class of uncooled THz detectors for the 1-10THz band with a novel design using surface plasmon resonant cavities with integrated metal-insulator-metal tunneling diodes as the detecting element. Tunneling diodes provide ultrafast broadband response, potentially into the visible (300THz), but demonstrated performanc ...

This Small Business Technology Transfer Research phase I program will develop a new class of surface plasmon enhanced photovoltaic devices that exhibit increased current collection. Photon management, the manipulation of the incident optical field to increase the probability that a photon is absorbed in the active region of the cell, is critical to the development of next generation thin film sol ...

This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

Structured Materials Industries, Inc. (SMI), working with others have demonstrated functioning fundamental memristor material technology. In this program, working with our University partner and end use collaborators, we propose to provide an infrastructure for making memristor materials at production scales, expand/refine the known memristor materials, provide samples of the produced memristor ma ...