Award Data

ABSTRACT: Electro-optic/infrared (EO/IR) sensors are key to the mission success of future hypersonic vehicles. Although EO/IR sensors have been extensively used for subsonic flight regimes, the hypersonic flight regime creates new conditions and complexities with significant impact on optical sensors. These complexities include turbulent, high temperature gas that is in Non-Local Thermodynamic Equ ...

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 ...

Triton is proposing to develop a family of preceramic polymers and polymer formulations that will produce group 4 (Zr and Hf) carbides and carbide/boride mixtures in good yield. The target yield for the program is 60 vol%. The goal is to develop material...

ABSTRACT: The sensor system requirements for image based navigation that uses passive millimeter wave imaging radiometry will be established based on existing RelNav and AbsNav algorithms that were demonstrated to work in multi-modal imagery. Existing flight data will be used to simulate the PMMW imagery for these tests. A preliminary design of such a PMMW system will be created. Under Phase-II th ...

ABSTRACT: LongShortWay Inc and NorthEastern University propose new feature clustering methods that improve performance of motion imagery classifiers. Developed algorithms will be demonstrated on AFRL Minor Area Motion Imagery (MAMI) data; BENEFIT: Enhanced classifier performance, robust feature selection

LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.

The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...

The SEAKR team proposes to continue development of the advanced protocol routing system begun in the Phase I effort, to reduce risk toward a flight deployable system for SATCOM assets such as Iridium NEXT. SEAKRs development of the Iridium NEXT modem...

Increased workloads and operational pressures can degrade human analysts cognitive performance, jeopardizing their ability to safely and effectively carry out mission-critical tasks. To avoid overload and maximize the potential of human operators, a method for conducting real-time evaluation of cognitive state, combined with means to dynamically enhance performance, is required. Novel technologies ...