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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: Integrated Solutions for Systems, Inc. Topic: A17AT017
Integrated Solutions for Systems, Inc. (IS4S) and teammate Auburn University (AU) propose to develop a PNT initialization system for dismounted soldiers. The proposed system will enhance warfighters’ ability to operate immediately in a GPS denied environments once their mission begins and has wide commercialization potential outside of DoD. In Phase I, the feasibility and expected benefits of in ...STTR Phase II 2018 Department of DefenseArmy
SBC: Intelligent Automation, Inc. Topic: A17AT010
Over the last decade the amount of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields. Uncovering non-linear low dimensional structure in high-dimensional data (i.e., manifold learning), a key to summarization, remains a challenging problem which ultimately inhibits knowledge discovery. Intelligent Auto ...STTR Phase II 2018 Department of DefenseArmy
SBC: Intelligent Automation, Inc. Topic: A17AT019
For Robotic/Autonomous Systems (RAS) to be truly effective in the battlefield, they need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities will help them dealing with the challenging real-world problems of off-road navigation: 1) Accurate terrain traversability assessment; 2) Optimal trajectory computation; and 3) Effective maneuver selection ...STTR Phase II 2018 Department of DefenseArmy
SBC: TDA RESEARCH, INC. Topic: A12AT005
On-site activated decontaminants will revolutionize chemical and biological decon because the activated solution is produced on demand, without the limitations of traditional pre-made mixtures. TDAs system uses electrical activation to convert battery power into reactive chemicals that quickly destroy chemical and biological warfare agents. Prior to activation, the decontaminant mixture can be saf ...STTR Phase II 2018 Department of DefenseArmy
SBC: TRANSPARENT ARMOR SOLUTIONS INC. Topic: A14AT017
Our nation’s warfighters require advanced armor to give them the best protection while allowing mobility to perform their missions. This proposal will develop two powerful tools to aid future body armor advancements. First, this research program will develop a statistical analysis software that will predict likelihood of impacts based on defined attack scenarios (i.e. rifle, distance and firing ...STTR Phase II 2018 Department of DefenseArmy
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: N18AT009
This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...STTR Phase I 2018 Department of DefenseNavy
SBC: IERUS TECHNOLOGIES INC Topic: N18AT009
The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...STTR Phase I 2018 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N18AT011
Materials for thermal protection are required to protect structural components of space vehicles during the re-entry stage, missile launching systems, and solid rocket motors (SRMs). Polymer resins that have high char retention (e.g., phenolic resins) are the most common matrices in the composite materials for rigid thermal protection systems (TPSs) due to their tunable density, lower cost, and hi ...STTR Phase I 2018 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N18AT013
Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...STTR Phase I 2018 Department of DefenseNavy
An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: Citrine Informatics, Inc. Topic: N18AT013
In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...STTR Phase I 2018 Department of DefenseNavy