Award Data

Naval Special Warfare needs to improve the thermal control subsystems on the SEAL Delivery Vehicle to provide heated or cooled water to the operators during transit in water temperatures from approximately 35°F or above 95°F. Unprotected operation in these environments, and the resulting core body temperature change of more than ~5°F risk serious injury, and lasting muscular-skeletal damage. Th ...

In this program, Physical Sciences Inc. (PSI) will team with Professor Ali Adibi’s group at the Georgia Institute of Technology to develop a photonic integrated circuit (PIC) spectrometer that can simultaneously achieve high-resolution over wide-bandwidths using a scalable and foundry-ready approach. While a PIC-based spectrometer is a key component for on-chip Raman, fluorescence, and absorptio ...

Active Transfer Learning (ATL) is a machine learning approach that produces excellent accuracy and predictive power while requiring much less input data than competing approaches. SoarTech, partnered with University of California Davis, has used ATL to improve the understanding of skills and skill relationships in the Navys tactics and decision-making assessment system, DARTS. SoarTech showed in P ...

We propose to develop Cyber RAMPART as an extensible and customizable training delivery tool with near-term transition potential. It will offer shipboard operations personnel the opportunity to develop foundational cyber awareness knowledge and skill that prepares them to participate in their ship’s cyber defense mission and to hit the ground running in future fleet-level exercises that include ...

We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...

SSCI and MIT (Prof. Julie Shah) propose to develop and test a system that provides real-time assurance and trust in decisions made by autonomous collaborating vehicles. The proposed system is referred to as the RESTORE (Robust Execution System for Trusted Operation in Relevant Environments) and represents a decision support tool which facilitates decision making by the operator in cases when decis ...

Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes fall short of producing 7000 series Al alloys successfully due to lack of porosity, and thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and othe ...

The Shallow Water and Surf Zone Minehunting program (MAD SWARM) is described that spans the development and demonstration of swarming micro-air vehicles (MAV’s) equipped with Magnetic Anomaly Detectors (MAD’s) to autonomously detect and locate mine targets in shallow water and the surf zone. The MAD Swarm system incorporates low cost micro-air vehicle (MAV) technology, swarming sensor search/c ...

Mobile video sensors have become cheap and easy to integrate into cell-phones, UAVs, body cameras, and security cameras. The possibility of dense networks of video sensors enables a wide range of security-related uses for ONR and other government agencies including seaport monitoring, battlefield situational awareness, and forensic crime-scene analysis. The density and overlap of sensors creates t ...

Recent reports indicate the activity of more than 6,000 botnet C and C servers. 70 million zombies are responsible for 80 percent of SPAM. Given the exponential growth of the botnet threat, the security of our nation s cyber infrastructure demand automated botnet activity monitoring solutions. In Phase I, Milcord developed a feasibility prototype of a Bayesian Activity Monitor for Botnet Defense. ...