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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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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: GLOBAL CIRCUIT INNOVATIONS INC Topic: AF16AT17
Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...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: Perceptronics Solutions, Inc. Topic: DHA17B001
This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...STTR Phase I 2018 Department of DefenseDefense Health Agency
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
SBC: CASCADE TECHNOLOGIES INC Topic: AF14AT23
ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...STTR Phase I 2015 Department of DefenseAir Force
SBC: BAYSPEC, INC. Topic: A16AT012
Using advanced ion optics that was developed by Pacific Northwest National Laboratory (PNNL), BaySpec will develop a prototype of portable mass spectrometer (less than 40 lb. and 300W) with continuous atmospheric pressure inlet that is fully capable of uninterrupted on-line sampling from an ambient environment. The continuous nature of the inlet ensures full compatibility with separation technique ...STTR Phase I 2016 Department of DefenseArmy
SBC: TIER 1 PERFORMANCE SOLUTIONS LLC Topic: AF16AT08
There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...STTR Phase I 2016 Department of DefenseAir Force
SBC: APIC CORPORATION Topic: AF16AT28
Tensile-strained germanium tin structures will be developed for infrared emitters and detectors that are compatible with silicon fabrication processes.Optical detectors in the wavelength range of 2-5 microns will be developed by using GeSn on silicon ...STTR Phase I 2016 Department of DefenseAir Force
SBC: DATA FUSION & NEURAL NETWORKS, LLC Topic: AF17CT02
The DF&NN team has significant experience in delivering Space Domain Awareness tools. These tools will be applied to 2 years of GEO ephemeris data of active satellites at DF&NN. The RDESB prototype will reduce the risk in rapidly discovering the behavioral patterns of potentially evasive and/or ambiguous active resident space objects. RDESB will detect non-Keplerian behavior in ephemeris data for ...STTR Phase I 2018 Department of DefenseAir Force