Award Data

Virtual EM and Case Western Reserve University are teaming to propose a standoff cardiopulmonary sensing technology to aid remote monitoring of airman and others ' physiological state of health both in the field and in the office environments. While the pulmonary sensing unit could be operated meters away, the cardio signals are picked up in closer proximity to the body.

The efficient detection and understanding of clandestine nuclear device testing is critical to the security and credibility of the organizations currently tasked with this important work. At present, the Air Force Tactical Applications Center (AFTAC) and likewise, the Comprehensive Test Ban Treaty Organization (CTBTO) are running methods and algorithms that are out of date. These approaches use a ...

Palm-sized unmanned aerial systems (nano UAS) weighing tens of grams have evolved to the point where they are becoming useful to the warfighter. However, their small mass, fragility, and limited batteries still necessitate the use of emerging, low mass/power technologies to meet the full range of potential missions, including new autonomous flight control and collision avoidance strategies, struct ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

NDI of composite Pi/T-Joints presents significant challenges to existing inspection technologies resulting in a barrier to implementation in production. We will investigate feasibility of developing an active thermography NDI solution for real-world inspection of composite structures with T / Pi- joints during the manufacturing process (both green and cured states). Based on the extensive experien ...

Trends in human-machine teaming and multi-domain operations will only increase the complexity of the tasks facing operators. This complexity comes with design risks: will operators be capable of performing the required tasks within acceptable levels of workload, stress, etc. Often, problems are not discovered until human testing is conducted, late in the process. At that point, design flaws may be ...

From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...

Virtual EM INC. in collaboration with Case Western Reserve University (CWRU) proposes to develop a highly expandable, lightweight and flexible sensor network for structural health monitoring (SHM) by directly addressing the roadblocks of high size, weight, and power requirements and high communication bandwidth. CWRU has recently advanced the state-of-the-art by developing and testing a custom fr ...

We propose to develop a set of multiscale modeling tools for structural energetic materials (SEMs) that explicitly treat microscale, mesoscale and macroscale coupling of mechanical response, thermal properties and chemical reactions.At the macroscale, a combined material point method (MPM, solid)/Eulerian (ICE, fluid) methodology, MPM-ICE, will be employed to investigate the behavior of select Al/ ...

ABSTRACT: We will develop a multiscale molecular dynamics/material point method (MD/MPM) methodology for determining the response of PBXs to a wide range of loading conditions as a function of mesoscale structure with emphasis on accurate representation of interfacial physics. The initial material of choice will be HMX + DOA plasticized HTPB binder. Velocity-dependent grain-grain and viscoelastic ...