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SBC: Corvid Innovation LLC Topic: DHP16A001
Realistic surgical simulation requires a combination of representative tissue geometry, accurate tissue material properties and lifelike tool-tissue interaction forces. Recent advances in computational power and imaging modalities have provided the capability to represent the anatomical details required for surgical training; however, the mathematical models which govern the underlying tissue pro ...STTR Phase I 2016 Department of DefenseDefense Health Agency
SBC: Lambda Photonics, LLC Topic: AF15AT02
ABSTRACT: Infrared sources and sensors are becoming increasingly useful for military and commercial applications. We propose to exploit recent advances in multimaterial fiber technology to produce a new class of optical infrared fibers that are robust and low in cost for high-power, high-stress environments. The use of beam confining fiber optics reduces or eliminates issues with misalignment or d ...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
SBC: AURA TECHNOLOGIES, LLC Topic: AF17AT018
Bennett Advanced Research proposes to examine fundamental properties of adaptive materials for use with Additive Manufacturing technologies. The focus will be on developing a system for spacecraft Self Health Monitoring (SHM).STTR Phase I 2017 Department of DefenseAir Force
SBC: Five Focal LLC Topic: AF12BT06
ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...STTR Phase I 2013 Department of DefenseAir Force
SBC: NUTRONICS, INC. Topic: AF12BT13
ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...STTR Phase I 2013 Department of DefenseAir Force
SBC: Lateral Unbounded Software LLC Topic: AF17AT015
The automotive and aerospace industries use topology optimization to minimize structural weight while satisfying functional constraints. However, the industry-standard fictitious material or density approach has been less effective when applied to physics beyond simple structural mechanics. Known issues include: failed numerical convergence or so-called gray material in computed optimal designs, n ...STTR Phase I 2017 Department of DefenseAir Force
SBC: Kalos Technologies, Inc. Topic: AF16AT10
Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...STTR Phase I 2016 Department of DefenseAir Force
SBC: UES INC Topic: DTRA16A004
Compact Electromagnetic Pulse Module (EMP) capable of being arranged in series-parallel planar or cylindrical arrays is needed to simulate nuclear weapon effects. High gain optically triggered photoconductive semiconductor switches (PCSS) based on Gallium arsenide (GaAs) with low timing jitter enables the development of planar or phased arrays of modular EMP or High Power Microwave (HPM) sources. ...STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
SBC: CORNERSTONE RESEARCH GROUP INC Topic: DHP16C003
Cornerstone Research Group (CRG) and the University of Texas (UT) will team to develop a fast and accurate automated analysis program for USV scoring. This automated tool will enable greater research efficiency and throughput allowing greater strides in developing treatments for post-traumatic stress disorder through rodent-based research. Building off prior work by UT on a first generation auto-s ...STTR Phase I 2017 Department of DefenseDefense Health Agency