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SBC: HYPERCOMP INC Topic: AF14AT07
In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...STTR Phase II 2016 Department of DefenseAir Force
SBC: PARASIM INC Topic: AF14AT07
ABSTRACT: In this proposal, a team comprising ParaSim Inc. and the University of Utah will examine the feasibility of generating curved high-order meshes from hybrid linear meshes while retaining a given boundary geometry. Specifically, a preliminary design of a software package for creating high-order (up to 4th order and higher) hybrid-element meshes for complex geometries will be developed. S ...STTR Phase I 2015 Department of DefenseAir Force
SBC: KickView Corporation Topic: AF16AT12
Improving feature extraction, event detection, and target classification in multi-sensor systems requires new mathematical methods and processing techniques. In addition, previous research and experience suggests that leveraging sensor data that has not experienced significant dimensionality reduction can preserve subtle features when processed jointly with other relevant data. However, traditiona ...STTR Phase I 2016 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
Harness Enhanced Awareness for Radio System (HEARS) for Dynamic Spectrum Access in Space ApplicationSBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF13AT02
ABSTRACT: In this project, IFT and its academic partner GMU developed an innovative Harness Enhanced Awareness for Radio Systems (HEARS) framework and technical underpinnings for DSA systems operating under conditions of imperfect knowledge, and used the framework to address challenging problems in satellite communication (SATCOM)DSA. As the logical core of the HEARS, Multi-Entity Bayesian Network ...STTR Phase II 2015 Department of DefenseAir Force
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF14AT17
ABSTRACT: In this proposal a Game-theoretic Universal Anti-RFI Defense (GUARD) framework for Satellite Communications is proposed. Key components of the GUARD framework include i) Radio Frequency Interferences (RFI) modeling and impact evaluation infrastructure, which allows the evaluation of the impact of RFI from various sources, and provides a comprehensive RFI knowledge base to SATCOM; ii) RF ...STTR Phase I 2015 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: ACELLENT TECHNOLOGIES INC Topic: AF16AT03
Structural Health Monitoring (SHM) can be reliably used to perform on-line health monitoring of any type of structures with minimal human involvement. Current SHM systems can perform the functions required but are heavy, bulky and difficult to integrate with the structure to provide on-board real-time structural integrity assessment. Embedding of currently available sensors and electronics used by ...STTR Phase II 2018 Department of DefenseAir Force
SBC: Intelligent Automation, Inc. Topic: AF14AT09
ABSTRACT: Current methods for inspecting the external surface of manned and unmanned low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by significantly increasing aircraft reliability and availability while reducing lifecycle maintenance costs. To address this need, Intelligent Automat ...STTR Phase I 2015 Department of DefenseAir Force
SBC: Intelligent Automation, Inc. Topic: AF14AT09
Current methods for inspecting the external surfaces of low-observable (LO) aircraft are time consuming and error prone. Technology that can reduce inspection times and minimize human error will benefit the Air Force by increasing assessment reliability and aircraft availability while reducing maintenance costs. To address this need, Intelligent Automation (IAI) and Carnegie Mellon University (CMU ...STTR Phase II 2016 Department of DefenseAir Force