Award Data

Formaldehyde is a reactive and flammable aldehyde which is well known as one of the harmful volatile organic compounds. A_x000D_ combination of respiratory disease, allergic dermatitis and other ailments so called Sick Building Syndrome (SBS) is associated with chronic exposure to formaldehyde. Therefore, monitoring for formaldehyde is important in residential buildings. In this Phase I_x000D_ dev ...

Methane is the second most prevalent greenhouse gas emitted after carbon dioxide, however, on a pound-to-pound comparison methane has a 25 times greater impact on climate change than carbon dioxide over a 100-year period. Accordingly, the 2014 Climate Action Plan signed by President Obama has directed agencies including the USDA, DOE, and EPA to reduce methane emissions. A significant effort in th ...

Capacitive deionization (CDI) is a robust, energy efficient, and cost effective technology for water desalination. In collaboration with Dr. Satish Kumar and Dr. Costas Tsouris at Georgia Tech, we are developing nanostructured carbon material for effective and economical water and wastewater desalination. Our new approach for CDI is enabled by (1) synthesis of nanostructured high surface area acti ...

Effective Live, Virtual, and Constructive (LVC) training methods have been underutilized within ground-based training operations. More specifically, Battlefield Airmen training methods have not fully adopted or incorporated recent advances in augmented reality (AR) technologies into their training due to specialized training requirements. To address this issue, the Aptima team will design and deve ...

To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to develop DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system will combine a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-aided mult ...

ABSTRACT: The size, shape, and velocity distribution of fragments are critical for the complete characterization of high-explosive fragmentation process. Such information is needed for the qualification of new energetic materials as well as for warhead design. Current methods to characterize such fragmentation processes are time consuming because they are performed manually. Such methods are limit ...

ABSTRACT: Busek proposed to develop an instrument package for high fidelity measurements and long-term state-of-health monitoring of plasma properties from solar electric propulsion (SEP) plasma sources in test chambers and the space environment. The proposed system will include a Faraday probe, a Langmuir probe, and an ion energy analyzer. The instrument suite will be capable of periodic, time- ...

ABSTRACT: The objective of this proposed effort is to develop a procedure that provides high confidence discrimination between (at a minimum) aluminum, titanium and magnesium alloys through dirt, paint and other coatings of interest to the Air Force. The goal is to develop a hand-held alloy identification method that can be performed within a few seconds and one that requires only a few minutes of ...

Sonalysts, Inc. proposes to research and develop a Common User Defined Operational Picture (UDOP) for the Enterprise Ground System (EGS) for satellite Command and Control (C2). We will research and analyze the human factors affecting operator function and performance across multiple satellite systems, and the common and unique aspects of space systems currently in use. We will develop logical cons ...

Durga addresses the Air Forces need for Autonomous Satellite Ground Operations using a mature suite of software methods that detect and respond to anomalies in streams of data, both in real time and over history. In addition to detecting rapid spikes or gradual drifts in telemetry data, Durgas methods can discover periodic and seasonal patterns, as well as connections between data features that ca ...