Award Data

Aegis BMD 5.0 CU will expand and update the Baseline 9 MRBM and IRBM threat set, while Aegis BMD 5.1 will have capabilities against more sophisticated short to intermediate range ballistic missiles. An ability to discriminate this wider set of increasingly sophisticated threats is essential. Technology Service Corporation (TSC) and the Michigan Tech Research Institute (MTRI) propose to identify fe ...

IAI with University of Michigan proposes an innovative HIC software modeling and integration framework built around objectively quantified cognitive models of human operators i) Executive-Process/Interactive Control (EPIC) and ii) GOMS (Goal Operator Method and Selection rules) Language Evaluation and Analysis (GLEAN). The framework provides ability to model existing or futuristic operator workst ...

In a low-texture indoor environment, landmark-based navigation is difficult due to lack of distinctive micro-features such as SIFT and SURF. Intelligent Automation, Inc. (IAI) and GRASP Laboratory at the University of Pennsylvania propose a Bio-Inspired Visual Navigation System with the following three innovations: First, we propose a segmentation-based method to extract landmarks as closed contou ...

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: 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: 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 ...

The primary goal of this STTR program is to develop high fidelity LDLP software module that can predict stiffness and damping forces over the ranges of amplitude, frequency, and temperature appropriate for comprehensive modeling of helicopters. The LDLP module will focus on enabling accurate prediction of the onset of both air and ground resonance, as well as the fatigue loads that would arise due ...

The Navy's role in the Global War on Terrorism (GWOT) has necessitated a variety of activities that require long-term, reliable intelligence, reconnaissance, and surveillance. For tactically relevant applications, the endurance and performance tradeoff remain the limiting factors in determining how long sensing and analytic capabilities can remain operative while unattended. In this proposal, Inte ...

Autonomous systems continue to be outfitted with larger amounts of sensors that are capable of collecting extremely large amounts of data over the course of a mission. Even autonomous systems with high storage capacities can run into storage limitations when burdened with large amounts of sensor data over long mission durations. This proposal will develop a Learning-based Approach for Relevant Dat ...

This research seeks to develop a method of developing solid-state power amplifiers that operate at 300 Volts, achieve 100 Watt output and greater than 90% efficiency at 1 GHz with 10% bandwidths. We will seek to demonstrate switch-mode amplifiers that use a novel gate design with Gallium Nitride forming the basis for solid state power amplification.