Award Data

deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...

In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...

FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...

Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula

Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

MATSYS proposes to adapt emerging additive manufacturing techniques (so-called 3-D Printing) for use with reactive structural materials and demonstrate this capability to rapidly fabricate reactive case. Our concept incorporates two major manufacturing steps: 3D printing of green compacts from pure Al or Al-based reactive powder blend; and Microwave (MW) sintering of green compacts into net-shaped ...