Award Data

ABSTRACT: Barron Associates Inc. proposes development of an Affordable Multi-Physics Local Environment (AMPLE) Space Situational Awareness (SSA) system. The solution integrates multiple sensor phenomenologies, unconventional data sources, cross-platform information sharing, and sensor fusion to realize a low size, weight, and power (SWAP) platform that provides operational SSA for high value asse ...

ABSTRACT: A recent study by the National Research Council found that sophisticated statistical techniques are finding their way into DoD operational test design, but that current DoD practices are still substantially behind the state of the art. The study concluded this has resulted in inefficient test designs, wasted resources, and less effective acquisition decision making. US Air Force test an ...

ABSTRACT: In this program, Agiltron, Inc. and Harvard University will develop a biologically-inspired integrated sensor that can detect the UV, visible (VIS), near infrared (NIR), and mid-wave infrared (MWIR) bands. This sensor will be integrated with plasmonic filters to provide additional information from the radiation field that may not be available to common image sensors. The advanced integr ...

ABSTRACT: By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algori ...

ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

ABSTRACT: Physical Sciences Inc. (PSI) and the University of Tennessee Space Institute (UTSI) propose to develop an innovative system to measure and control the cryodeposit layer thickness that develops on cold surfaces in cryogenic radiometric calibration chambers. The system includes: 1) an in-situ, interferometric-based instrument to monitor the cryodeposit layer thickness, 2) a mitigation sy ...

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

ABSTRACT: LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interest

ABSTRACT: Physical Sciences Inc. proposes to design, develop, and demonstrate two types of affordable, portable, non-invasive, real-time sensors to assess over time the chemical and physical health of solid rocket motors without affecting the motor"s integrity. In Phase II, we will build upon our Phase I success to develop a sensor to monitor specific gas species that are markers of the chemical ...

ABSTRACT: In Phase II, D-Tech plans to continue our success from Phase I by enhancing the existing prototype product with the latest Identity Management and Access Control (IdAM) technologies. We will implement the latest IdAM standards (i.e. OpenID Connect and XACML) in our product to enable advanced functions, including delegate access, policy-driven ABAC, and identity federation. By creati ...