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SBC: M4 ENGINEERING, INC. Topic: MDA18T006
Uncertainty Reduction in High Speed Flight Vehicle Modeling | Approved for Public Release 18-MDA-9707 (3 Jul 18)STTR Phase I 2019 Department of DefenseMissile Defense Agency
SBC: Material Flow Solutions, Inc. Topic: MDA16T001
Based on the results of our Phase I work, one significant barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die. Our hypothesis: an increase in quality batteries production can be achieved if powder preparation process can be optimized and the die filling process controlled. We feel that control o ...STTR Phase II 2019 Department of DefenseMissile Defense Agency
SBC: TOYON RESEARCH CORPORATION Topic: N18BT030
We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...STTR Phase I 2019 Department of DefenseNavy
SBC: Luna Innovations Incorporated Topic: N18BT031
Autoclaves are typically used to fabricate high-quality composite components with acceptable thermal properties and low void volume. They provide elevated temperature processing cycles and external pressure required for adequate compaction to achieve these desired properties. However, autoclaves represent large capital and energy investment while limiting the size of fabricated parts and productio ...STTR Phase I 2019 Department of DefenseNavy
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial IntelligenceSBC: TOYON RESEARCH CORPORATION Topic: N18BT033
Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...STTR Phase I 2019 Department of DefenseNavy
SBC: Epirus, Inc. Topic: N19AT001
Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...STTR Phase I 2019 Department of DefenseNavy
SBC: GCAS, Inc. Topic: N19AT002
This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.STTR Phase I 2019 Department of DefenseNavy
SBC: Global Engineering and Materials, Inc. Topic: N19AT003
Global Engineering and Materials, Inc. (GEM) along with its team member, the University of Wisconsin-Madison (UW-M), propose to develop printed polymer reinforcement via additive manufacturing to provide patterns at the interlaminar regions in traditional prepreg composites with the goal of improving their interlaminar properties under mixed mode loading. Two key components will be performed under ...STTR Phase I 2019 Department of DefenseNavy
SBC: Mirios, Inc. Topic: N19AT005
Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.STTR Phase I 2019 Department of DefenseNavy
SBC: Twinleaf LLC Topic: N19AT006
This project develops an atomically-referenced vector magnetometer with a goal of substantial improvements in the drift of the sensor relative to existing solid state sensors such as fluxgate magnetometers.STTR Phase I 2019 Department of DefenseNavy