Award Data

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: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

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: A high-fidelity computational electromagnetic solution will be developed that directly solves Maxwell"s equations in order to calculate radar returns from complex, electrically large objects in motion, such as wind turbines with rotating blades. The solution will include propagation effects from terrain and atmosphere, multipath between object parts, and the details of interior and ext ...

ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

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: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

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: Confronted by a vast quantity of data, presented piecemeal, sporadically and at varying levels of detail, the human analyst is often overwhelmed when trying to effectively monitor even medium-sized areas of interest. Offline, there is a wealth of data, resolution, and time to pick through and find activities of interest. Given a large amount of high resolution data, we can simulate situ ...

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