Award Data

The survivability of tactical missiles through adverse weather is difficult to predict, because of the dependency on many variables and the unpredictable nature of weather. This proposal is focused on an effort to develop and test a physics-based methodology for the prediction of the droplet distortion and demise in the flow field around missiles in supersonic flight. Our technical approach of Pha ...

The current state of weather requirements definition for tactical missiles is outdated providing operational decision makers little confidence in the performance of missiles in any environment other than blue-sky. The challenge is understanding detailed physics features like drop shape change through a shock, and then being able to apply those at the system level for vehicle performance assessment ...

The purpose of this research is to develop a capability that improves upon current Information Technology (IT) help desk and customer relations, specifically in parsing and analyzing help desk communications (text and speech), reports, and logs. The resulting data set will be used to employ technical enhancements to the IT support and customer relations management space. The research will focus on ...

There is currently no autonomous pallet loading/unloading solution for full or half size 463L Military pallets. In austere environments such as those encountered at forward operating bases (FOB) and further forward, this is a significant problem. With no means of autonomously positioning or retrieving supplies at the aircraft, re-tasking fire teams and other personnel critical to the fight and gen ...

Polaris proposes a hybrid system, combining a Sky Polarization Azimuth Sensing System (SkyPASS) Gen3 heading sensor and a Celestial Positioning System (CPS) into a SkyPASS Gen3 Positioning System (SkyPASS-GPS). The SkyPASS-GPS system will utilize multiple celestial technologies (including Sun tracking, star tracking, and sky polarization mapping) combined with novel algorithms to provide heading a ...

In this research effort, GTD Unlimited will develop a toolset that leverages machine learning and analytics to analyze E-2D’s system maintenance with Automated Logistics Environment (ALE) data collected across the fleet to design and develop improved maintenance procedures that will improve readiness. GTD will determine key performance metrics of the platform that are of value to the maintainer, ...

Data stream analytics have been used in industry for a number of years to solve various logistical and other problems using on-the-fly monitoring, data-mining, and analysis of ongoing information streams. Recent advances in both Artificial Intelligence (AI) and high-speed parallel computing architectures may now provide the ability to execute such data-stream analysis algorithms in real time. U.S. ...

The growing proliferation of unmanned air and surface vehicles poses a potential tactical threat to current naval platforms. This threat continues to grow as the technology needed to develop such vehicles in vast numbers becomes easier for both state and non-state actors. The subsequent increase in the number of potential air and surface targets tracked and engaged in a tactical environment, where ...

The overall goal of the project is to develop a mathematically rigorous multi-fidelity surrogate modeling (MFSM) and data analytics tool to fuse data from sources of varying facility (computations and flight tests) for accurate aircraft structural buffet load prediction. The salient aspects of the proposed solution are: (1) an adaptive framework to systematically tackle fusion and consolidation of ...

The Naval Air Technical Data and Engineering Service Center (NATEC) maintains extensive, separate data sets for logistics and engineering in multiple formats which would be more valuable if the data could be integrated and shared to a greater degree.AVNIK Defense Solutions, Inc. proposes, with our subcontract team members Instrumental Sciences, Inc. (ISI) and Engenix, a Concurrent Engineering Logi ...