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SBC: TECH-X CORPORATION Topic: AF15AT33
The overall project objective is to develop and demonstrate a software package based on Fermi kinetics charge transport and Delaunay/Voronoi field discretization that accurately predicts semiconductor device behavior from DC up through the mm-wave and TH...STTR Phase II 2016 Department of DefenseAir Force
SBC: Tier 1 Performance Solutions, LLC Topic: AF15AT14
Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...STTR Phase II 2016 Department of DefenseAir Force
SBC: SPECTRAL MOLECULAR IMAGING, INC. Topic: AF15AT12
Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...STTR Phase II 2016 Department of DefenseAir Force
SBC: SA PHOTONICS, LLC Topic: AF17AT011
A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as Pararescuem ...STTR Phase II 2018 Department of DefenseAir Force
SBC: SEAKR ENGINEERING, LLC Topic: AF11BT12
The SEAKR team proposes to continue development of the advanced protocol routing system begun in the Phase I effort, to reduce risk toward a flight deployable system for SATCOM assets such as Iridium NEXT. SEAKRs development of the Iridium NEXT modem...STTR Phase II 2016 Department of DefenseAir Force
SBC: NEXTGEN AERONAUTICS, INC. Topic: AF14AT01
Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...STTR Phase II 2016 Department of DefenseAir Force
Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event DiscoverySBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF16AT12
We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...STTR Phase I 2016 Department of DefenseAir Force
SBC: VURONYX TECHNOLOGIES LLC Topic: AF16AT27
In this Phase 1 proposal, Vuronyx Technologies in collaboration with Georgia Institute of Technology, Atlanta (GT) intends to fabricate composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursor...STTR Phase I 2016 Department of DefenseAir Force
Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite BehaviorsSBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF17CT02
Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...STTR Phase I 2018 Department of DefenseAir Force
SBC: Intelligent Automation, Inc. Topic: AF18AT014
Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...STTR Phase I 2018 Department of DefenseAir Force