Award Data

Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

For this STTR Intelligent Automation, Inc. teams with researchers from University of Maryland, College Park to develop SLA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking ...

The team of AlphaMicron Inc. and Kent State University proposes a novel LC technology, the dynamic polarizer, as a light control system for Battlefield Airmen and Pilots. The dynamic polarizer technology shares the performance capabilities of AlphaMicron’s e-Tint LC light control technology: instantaneously fails-to-clear, millisecond switching times, and customizable tint and color. Howeve ...

The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...

This effort will investigate the use MALDI (matrix assisted laser desorption/ionization)-TOF (time-of-flight) mass spectrometer as a platform for rapid analysis of biomarkers in operational and training environments. In Phase I samples, will be acquired from human subjects under stress. These samples will be processed for analysis using our prototype portable MALDI TOF mass spectrometer. Samples w ...

Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

The research objective of the proposed work is to increase the efficiency of the laser return of a Sodium Guide Star Laser (SGSL) reflected off the sodium layer for increased reliability and applicability of the artificial guide star technique. During Phase I, we will demonstrate the concept of maximizing the SGSL signal returns using numerical simulations that account for the effects of atmospher ...

Majority of mission critical systems store and transport heterogeneous information with multiple level of security , which requires assured information segregation. The proposed technology is a software solution to provide highly assured data and process separation and isolation.

The objective of this research program is to develop an ultra-lightweight carbon nanotube-lithium metal (CNT-Li) hybrid anode to enable high energy density lithium ion cells. These CNT-Li anodes will be paired with carbon nanotube enhanced high areal loading (mAh/cm2) cathodes to achieve cell-level energy densities that exceed 400 Wh/kg at the cell-level and have the potential to exceed 500 Wh/kg. ...

In this STTR Phase I proposal, Kent Optronics (KOI) together with its partner, Rice University, propose to develop novel deep learning algorithms to perform machine vision tasks such as target recognition and tracking utilizing the direct measurements from a compressive hyperspectral imaging system. By skipping the hypercube reconstruction, this combination of hardware and software will allow real ...