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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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Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process VariationSBC: VEXTEC CORPORATION Topic: N16AT004
The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...STTR Phase I 2016 Department of DefenseNavy
SBC: NGIMAT, LLC Topic: N15AT010
In this Phase II STTR effort, nGimat will partner with the University of Kentucky (UK) and 3M/Ceradyne to continue development of W-scandate cathode composite materials. Compared to conventional M-type cathodes, these composite scandate nanomaterials will enable longer cathode lifetime by lowering the required operating temperature. nGimat is an established and successful powder manufacturing comp ...STTR Phase II 2017 Department of DefenseNavy
SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC Topic: AF15AT17
Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...STTR Phase II 2016 Department of DefenseAir Force
SBC: DECIBEL RESEARCH, INC. Topic: MDA12T002
deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
SBC: Torch Technologies, Inc. Topic: MDA15T002
Control Theory tools and processes for analyzing the interactions of complex System of Systems (SoS) are lacking, specifically when sub-systems are independently designed and/or higher levels of SoS controls are applied. Integrating these sub-systems into the SoS, can result in dynamic interactions between these sub-systems and the SoS controls resulting in unexpectedly large deviations between ex ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
SBC: GTD Unlimited LLC Topic: MDA15T002
In this research effort, GTD Unlimited will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Our approach will be to model the problem as an uncertain system and analyze the resulting models using control methods. Control methods can be related back to the standard Nyquist criterion for stability, ensuring t ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
SBC: GTD Unlimited LLC Topic: MDA15T002
In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
SBC: OASYS, INC. Topic: N17BT032
The Navy seeks technology based on statistical or computational methods to assist in the continued tracking of training performance and proficiency trends as underlying tactical data changes. OASYS, INC. and the ITCS at UAH proposes to exploit the benefits of modeling the underlying cause-effect structure of Navy data, rather than the data itself. This approach makes the model and analytical metho ...STTR Phase I 2017 Department of DefenseNavy
SBC: TIER 1 PERFORMANCE SOLUTIONS LLC Topic: N17AT017
As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navys ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. An innovative training appro ...STTR Phase I 2017 Department of DefenseNavy
SBC: Torch Technologies, Inc. Topic: A14AT002
Random numbers are essential for a growing number of modern applications. As computer speed and communications bandwidth have increased the potential for practical streaming cipher and large-scale Monte Carlo simulations have become technologically feasible. For these and other applications, ultrafast random number generators are essential. This is intuitively clear. Additionally, however, the ide ...STTR Phase II 2016 Department of DefenseArmy