Award Data

ABSTRACT: The current static nature of systems and networks allows attackers to gather intelligence, perform planning, and then execute attacks at will. If instead we remove this underlying static nature and make the network dynamic, many classes of attacks can be prevented by making them too difficult to carry out without detection as well as by reducing their probability and level of success. ...

ABSTRACT: The proposed program is a continuation of the research, development and testing of an extremely reduced scale (1cc to 10 cc) ordnance technology that was demonstrated in the Phase I program. The concept is a high-velocity, high-temperature metal-vapor torch (MVT), designed to focus its energy into a concentrated region or distribute energy into a prescribed pattern depending upon the t ...

ABSTRACT: Airborne directed energy weapons offer advantages over conventional weapons as they minimize collateral damage, reducing the cost of post-conflict reconstruction. However, the high power levels required by these weapons present size and weight challenges for airborne applications. In particular, the current capacity required of the power transmission cables can make them one of the heav ...

ABSTRACT: We present a comprehensive framework for shaping, inferring, and optimizing information flows for dynamic spectrum access (DSA) in cognitive radio (CR) networks. A principal goal is to develop methods for modeling, design, and analysis of spectrum sensing and control, by leveraging and advancing network coding and network optimization solutions. More specifically, we study spectrum mana ...

Biologically-based systems using electrochemical energy conversion and storage (such as bio-fuel cells) have the potential to meet the ever increasing requirements for smaller energy storage systems for applications such as implantable electronic devices, biosensing, microelectrical mechanical systems (MEMS), ground sensors, and micro air vehicles (MAV). Bio-fuel cells offer the potential for high ...

ABSTRACT: It is essential to have reliable reduced kinetic models that are capable of predicting transient combustion phenomena such as ignition and extinction under augmentor operating conditions. Combustion Science & Engineering, Inc. proposes to develop a robust, computationally efficient reduced kinetic modeling tool for aviation jet fuels that can be coupled with unsteady flow models such a ...

ABSTRACT: Organic matrix composite (OMC) structures used in critical areas such as around engine inlets and exhaust wash structures are known to fail through both hygrothermal and oxidative degradation. Without a reliable means of monitoring the health of these high-temperature composites, degradation can seriously impact an aircraft"s state of readiness. At the same time, time-based maintenanc ...

Traumatic Brain Injury accounts for 1525% of all combat casualties and on today"s battlefield, 30-40% of all injuries have a head injury component. The implication of TBI related injuries on the fighting force is that unit readiness is slowed as a result of diminished soldier reaction time and behavioral issues that may reduce the soldier"s responsiveness. Current methods of TBI diagnosis vary f ...

Knowledge Based Systems, Inc. (KBSI) for this project will be developing the Cyber Network Attack and Intrusion Detection and Recovery Environment (CYANIDE), a customizable framework to support the modeling, development, test, and deployment of cyber sensing, monitoring and recovery technology for cyber networks. The CYANIDE vision is to provide a comprehensive simulation-based experimentation fr ...

Development of crack resistant conductive gap-fillers fits within the Air Force"s goal of investing in low observable maintenance improvements to reduce sustainment costs and aircraft downtime. Commercially available gap-fillers are initially effective, but performance degrades under thermal and mechanical fatigue resulting in micro- and macrocracks within the matrix. Phase I showed the feasibili ...