Award Data

There is a critical need for innovative recommendation technology for digital data engineering artifacts and tools. To address this need, we propose design and implement the Artificial Intelligence-based Recommender System for Model-Based Systems Engineering (ARMS) software as a user-personalized context-aware content recommender system solution for Model Based Systems Engineering (MBSE) applicati ...

Deep reinforcement learning (DRL) provides strong capabilities to make decisions under uncertain and complicated scenarios. However, there is a lack of explainability of DRL when applied to assist warfighters in training and operational scenarios. To address this critical need, we propose to develop Deep Reinforcement Learning Enabled Warfighter Assistant (DICE). The key innovation of DICE is util ...

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Manually auditing for requirement compliance after software is developed can be tedious and costly because the later in the development process that defects are found, the more costly they are to correct. This project will provide developers assurance that they are meeting DoD Assurance Provisions requirements while giving manager’s verification status throughout development and provide auditors ...

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Electrochemical Machining (ECM) is a non-traditional process finding extensive use in aerospace and automotive industries that uses a tool (cathode) in an electrolyte medium to produce highly smooth, complex surfaces via electrolytic dissolution of the metal part (anode) being machined. Although the cathode is not in contact with the part and ECM is touted as no wear, it is plagued by stray curren ...

Discovering anomalies in land, sea, air, and space is a critical task for Situational Awareness activities. It is also an important enabler for maritime and airspace security operations. Artificial Intelligence and Machine Learning (AI/ML) algorithms can be applied to learn the regular behavior, track targets of interests, and identify anomalies in these domains. Specifically, unsupervised learnin ...

The Marine, Air and Space Threat Identification Framework (MASTIF) is a software service that utilizes commercially available data streams and processes that data to detect, identify and track platforms that potentially threaten the Nation’s protected assets. MASTIF uses state-of-the-art artificial intelligence and machine learning (AI/ML) algorithms and engines and includes a pluggable framewor ...

Temperature hardened electronics are being developed for harsh airborne applications. To complement these efforts, high temperature packaging studies need to follow suit. To address this problem, the proposed work covers an initial feasibility analysis of high temperature compatible materials and substrates for long term use as circuit boards, interconnects and attach material. Additionally, the p ...

This Phase 1 proposal will demonstrate the performance and processing advantages of a Ultra High Temperature (UHT)graded carbide-boride matrix CMC densified by TA&T’s rapid gas pulsed, reverse thermal gradient (GP-RTG) CVI process. A systematic approach for developing and optimizing the CVI Protocols for infiltration of a 3D woven carbon fiber preform includes incremental examination of the matr ...