Award Data

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

During Phase I and a first Phase II, Welkin Sciences developed the Channel Realization Generator (CReG) algorithm, an enhanced functional replacement for the ACIRF code intended to be embedded into software link simulations and HWIL fading channel simulators. The proposed second Phase II effort will refine the CReG documentation and its software and firmware implementations. Many in the strategic ...

In response to SBIR Topic DTRA172-006, Welkin Sciences proposes to design and build a new all-digital fading channel simulator to be called CoLTSAD. This new simulator design will be the latest addition to our family of Configurable Link Test Sets (CoLTS). It will be capable of emulating the full range of MIL-STD-3053 scintillating channel conditions for all SATCOM frequency bands up to Ka-band. C ...

Next-generation high-performance computing (HPC) hardware, such as the Intel Xeon Phi Knights Landing Many-Integrated-Core processor, provide new deep memory architectures that offer the promise of increased performance. The challenge in taking full advantage of this architecture is selecting which data structures will be placed in the high-bandwidth memory. Optimizing data structure placement in ...

DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...

Infrasound and seismic measurements are used by DTRA and the DoD for nuclear test monitoring, terrorist blast forensics, battle damage assessment, and environmental monitoring. However, these long wavelength physical signals are typically recorded through single-point sensors or sparse low density arrays. As a result, the critical signals of interest are often corrupted or masked by noise or inter ...

TDA Research Inc. (TDA) proposes to adapt off the shelf hardware and combine it with acoustic analysis techniques to develop an inexpensive, efficient, and scalable large number array of low cost acoustic sensors. Low frequency acoustic sensing detects a wide array of natural and manmade events including weather tracking, avalanche monitoring, explosion analysis, and nuclear test monitoring. By us ...

To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...

To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...