Award Data

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 ...

The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...

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 ...

Reconstruction of dynamic scenes is at the limits of the state of the art. It is still challenging to accurately reconstruct models in static scenes. Dynamic scenes add a list of challenges that further complicate the problem:separating the dynamic objects from the motion created by the camera motionMorphological changes to the dynamic object itself. Not only is the system moving, but it is actual ...

SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition threat search and track capability. SA Photonics will team with the Prof. Michal Lipson of the Lipson Nanophotonics Group at Columbia University wh ...

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 ...

Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...