Award Data

The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The goal of this Phase II effort is to develop and validate Electron Beam Melting (EBM) additive manufacturing (AM) technology for the production of vacuum electronic devices meeting t ...

We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...

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, ( ...

SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...

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 ...

This Phase II effort aims to deliver robust, reliable software that instantiates state-of-the-art feedback pseudospectral optimal control algorithms for flight trajectory optimization. The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. From proportional ...

The pseudospectral optimal control (PSOC) problem is used for rapid trajectory optimization and provides the ability to re-optimize during flight. This technology was implemented on a Navy-relevant mission, and pseudo-real-time operation was demonstrated. The technical readiness level at the end of the Phase I program is a concept that has been shown to be feasible using analysis and simulation. T ...

An advanced Li-Ion Battery Management System for DOD mission and safety critical platforms. The majority of Li-Ion Battery Management Systems (BMS) for DoD aircraft, helicopter, and directed energy weapons are custom designs for the individual Aerospace platform. This leads to increased cost over the battery life cycle due to the requirement to maintain the production facilities which produce repl ...

This STTR Phase II proposal continues our work towards building a simple, high quality and unobtrusive mobile physiological sensor platform. The capabilities of the Phase I prototype will be expanded by adding sensors to further acquire SpO2 and respiration in addition to forming a body area network for data collection across multiple points on a subjects body. A software infrastructure will also ...

Game-based training (GBT) has been touted as a promising medium for achieving improved training outcomes and heightened learner motivation, particularly in military training environments. However, there is little empirical research upon which to make informed decisions about when, where, or even if applying particular game elements to training is effective. The primary objective of the Phase II ef ...