Award Data

Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

Next-generation naval ships will require electric machinery with at least 50% greater power density than is available today. Such machines must deliver up to 10’s of MW at 100-200 rpm with very high energy efficiency, extremely low noise signature, and reasonable cost. Electrostatic machine technology is often overlooked but is perfectly suited to achieving these goals. C-Motive Technologies pro ...

The littoral and specifically surf zone regions with breaking waves, bathymetry, weather, currents, tides, obstacles, etc. create a dynamic environment that can be very challenging for conducting operations. Systems are being developed to increase situational awareness in this region, however expensive physical testing to verify performance is limited to specific areas and conditions. To supplemen ...

Numerous Government Agencies and Commercial Organizations are dependent on mission critical ecosystems (ie federated systems of systems). There are generally multiple systems of systems using various technologies that are difficult to integrate and monitor. They face challenges aggregating all of the subsystem data including the system and application logs, events, and alerts into one central data ...

Our solution will provide an automated system driven by advanced analytics and machine learning techniques to capture network traffic (including potential malicious events), perform forensic analysis of the events to identify threat actor tactics, techniques, and procedures (TTPs), create a database of classified events and TTPs (threat models) from which connections can be made between events, ac ...

The information environment has become a new battlefield for adversaries of the United States and its allies. Coordinated campaigns have been waged to radicalize, incite division, inflame, influence elections and public opinion on a variety of issues. These campaigns have weaponized social media by forming networks of synthetic accounts (botnets) which spread mis/disinformation, polarize groups an ...

Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine lea ...

ATR proposes the development of an innovative Advanced Dual-Purpose Elevator System (ADPES) that can be installed on an Expeditionary Base Mobile (ESB) so that aircraft and cargo can be transferred from the flight deck to the mid or mission bay and watercraft up to 70ft can be launched and recovered from mission bay to the sea. The ADPES consists of a submersible platform and transport mechanisms ...

The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions (turbulence levels), fuel/air ratio, and fuel spray density. All these parameters must be properly predict ...

The technical objectives of this proposal are: 1) perform a comprehensive simulation of 4.6 micron-emitting quantum cascade lasers (QCLs) with suppressed carrier leakage and efficient carrier extraction to design a device with pulsed wall-plug efficiency > 40 %; 2) perform a thermal analysis of 4.6 micron-emitting QCLs to design structures capable of operating with > 40 % continuous-wave (CW) wall ...