Award Data

An emerging consensus in engineering holds that aleatory uncertainty should be propagated by traditional methods of probability theory but that epistemic uncertainty may require methods that do not confuse incertitude with variability by requiring every possibility be associated with a probability that it occurs. Therefore, although Monte Carlo shells that re-run calculations many times while var ...

M4 Engineering, Inc. and Missouri S & T propose to investigate and refine uncertainty quantification (UQ) methods for Ballistic Missile Defense Systems (BMDS) Modeling and Simulation (M & S) with the emphasis on demonstrating the feasibility of non-intrusive stochastic expansions based on polynomial chaos, which will address the accuracy and computational efficiency issues associated with UQ in BM ...

The occurrence of combustion instability has long been a matter of serious concern in the development of liquid-propellant rocket engines due to the high rate of energy release in a confined volume in which energy losses are relatively small. Positive feedback between the acoustic waves and unsteady combustion could lead to the destruction of an engine in a fraction of a second. The situation is ...

In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

The premise of this work is that the main barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die.Our hypothesis: an increase in quality battery production can be achieved if product preparation can be optimized and/or the die filling process controlled.Since die compression is mainly one-dimensiona ...

In a pilot study effort in 2013, the Secretary of Defense for Manufacturing and Industrial Base Policy (ODASD (MIBP)) developed a methodology that goes beyond legacy reactive and program-centric frameworks for assessing industrial base risk. This proposed effort leverages the pilot studys work with the fragility and criticality (FaC) assessment to develop a predictive and proactive tool to assist ...

Space Micro and partner institution Arizona State University propose to design and prototype a Programmable Multi-Frequency Transmitter (PMFT) that is compliant with both the Kill Vehicle Modular Open Architecture (KVMOA) and Space Telecommunications Radio System (STRS) standards. The KVMOA maximizes reuse of components and system designs and reduce total ownership costs. The STRS standard allows ...

An advanced hit detection technology is needed for missile testing that can report impacts at hyper-velocities and at multiple hit locations.We present a technology with an attractive cost and performance that leverages decades of hit technology experience and utilizes existing technologies developed under previous efforts.Our technology offers a low latency non-interpolated direct indicator of mu ...