Award Data

ABSTRACT: Current methods for inspecting the external surface of manned and unmanned low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by significantly increasing aircraft reliability and availability while reducing lifecycle maintenance costs. To address this need, Intelligent Automat ...

ABSTRACT: This proposal presents an Air Force Satellite Control Network (AFSCN) upgrade scheme using smart antenna and cognitive satellite radio techniques. On the remote tracking station (RTS) side, switched beam smart antenna, distributed beam forming technique, multiple access technique based on FDMA and/or CDMA are applied to obtain multiple satellites reception objective. On the satellite si ...

ABSTRACT: In this proposal a Game-theoretic Universal Anti-RFI Defense (GUARD) framework for Satellite Communications is proposed. Key components of the GUARD framework include i) Radio Frequency Interferences (RFI) modeling and impact evaluation infrastructure, which allows the evaluation of the impact of RFI from various sources, and provides a comprehensive RFI knowledge base to SATCOM; ii) RF ...

In our Phase I program, JEM and ASU will demonstrate a low cost manufacturing process to achieve the full theoretical hesitivity of a magnetic film that would enable greater effective hesitivity laminate. In Phase II we will develop a viable continuous process for two such materials to achieve light weight, low cost, and improved radiation efficiency; and we will seek to productize this process to ...

In this proposed SBIR program, IBC Materials & Technologies, in conjunction with our industry partner Mechanical Solutions, Inc. (MSI) and Texas A&M University, will leverage our knowledge and experience in the domain of industrial metallic coatings to develop a metallurgical coating solution for the Air Foil Bearing. IBC has deep expertise in a variety of industrial coating processes including mu ...

The ISSAC Team leverages existing knowledge and expertise in power system monitoring, fault identification, localization and isolation in conjunction with rich, deep data analytics for pattern matching to devise a system for Medium Voltage Direct Current (MVDC) power system fault management. Because of the differences between AC and DC power grids there are a significant number of problems in deal ...

For machinery control systems, forensics is a vital part to provide a cyber-protection strategy and aid in identification and troubleshooting of system malfunctions due to malicious and non-malicious events. A number of unique challenges exist for the forensic analysis of SCADA based systems. Components of a SCADA system are often resource constrained. In addition, SCADA based systems have a criti ...

DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the propose ...

Towing of a Magnetic Anomaly Detection (MAD) system is an important aspect of rotorcraftmaritime operation. The oscillatory rotorcraft combined with the long and flexible towingcable, the low mass ratio of the towed body to the towing aircraft, and the rotor wake effecton the towed body presents a challenge for integration of a modern MAD system withrotorcraft platform. The research objective is t ...