Award Data

In this Phase II effort we will produce a multi-sensor discrimination system using a Manifold Learning (MFL) algorithm originally developed under a prior effort.Whereas other discrimination systems utilize features defined by subject matter experts (SMEs), our MFL algorithm learns important characteristics of a target through training with historical data.In prior work, we have applied our MFL alg ...

To achieve the goal of finding radar signal waveforms for supporting target information and deducing sensor-independent attributes, we propose to use a novel chaos-based orthogonal radar signal waveform with matched-filter-like (or adaptive) pulse compression processing for improving target detection. An open-source-and open-architecture prototype platform is proposed to enable performance analys ...

Missiles, use electro-explosive devices (EEDs) to perform mulitple functions during operation. This effort seeks ways to improve on the EED"s reliability and lower the failure or inadvertent activation rate of these devices. During Phase I, SEA CORP investigated replacing EEDs with commercial off the shelf (COTS) automotive airbag inflators to perform the required pneumatic functions of variou ...

Battlefield Telecommunications Systems proposes to build low delay low complexity lossless compression software framework and hardware prototype to be integrated in the telemetry system of a target vehicle test bed. The proposed compression algorithm is specially designed for target vehicle telemetry data, designed to reduce the dataset redundancy through the prediction by extracting the characte ...

In Phase I, our team applied their extensive experience in this area to develop and implement a unified target characterization and correlation framework focused on sensor hand-over (SHO) between electro-optic/infrared (EO/IR) and radar. The SHO system is designed to operate in an environment with multiple heterogeneous sensors where detection, classification and localization information is exchan ...

STTR Phase I Uncertainty Quantification (UQ) technical feasibility demonstration using advanced mathematical techniques and Biologically Inspired Computing Architecture (BICA) concepts is proposed for Phase II prototype development. UQ in complex System of Systems (SoS) M & S environments is emphasized in Phase II. Graph theory based M & S techniques are explored that enhance and facilitate topi ...

To build a climate-smart and resilient nation, we need to foster a climate-literate public that understands its vulnerabilities to a changing climate and makes informed decisions. A core component of this challenge is to develop simple, intuitive and high-impact visualizations of climate data--data that is and will be made available through the President’s Climate Data Initiative--for education ...

NOAA can reduce costs and improve efficiency by remotely monitoring harbors, navigation channels and coastlines for bathymetric changes. This will aid NOAA and its mission to maintain waterways and assure maritime safety. This remote sensing can be accomplished by implementing a new radar derived bathymetry capability. Areté Associated proposes to implement an advanced algorithm to derive bath ...

X-wave Innovations, Inc. (XII) along with Iowa State University (ISU), is developing a low-cost, hybrid ultrasonic-radio frequency (RF) sensor (HURFS) nondestructive evaluation (NDE) system to assess most structural issues while simultaneously providing feedback on the layer thickness and RF properties of composite, non-conductive materials in multi-layer stacks. The HURFS approach combines the u ...

Applied DNA Sciences (APDN) has developed a reliable DNA-optical adduct that is impervious to copying and is required by the Defense Logistic Agency (DLA) for the marking of FSC 5962 electronic components. Commercial inks supplemented with optical markers and proprietary APDN DNA, trademarked SigNature DNA, ink provide authentication marks that are of a higher standard relative to other taggant t ...