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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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SBC: SCIENTIFIC SYSTEMS CO INC Topic: AF12BT09
ABSTRACT: By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algori ...STTR Phase I 2013 Department of DefenseAir Force
SBC: OPTICAL SCIENCES CORPORATION Topic: AF12BT10
ABSTRACT: Optical Sciences Corporation (OSC) and the University of Alabama in Huntsville"s Center for Applied Optics (UAH/CAO) will demonstrate the feasibility and present a plan for developing optical instrumentation for the monitoring, mitigation, and removal of cryodeposits accumulated on optical and mechanical surfaces in cryogenic-vacuum radiometric calibration chambers. OSC will investigat ...STTR Phase I 2013 Department of DefenseAir Force
SBC: PHYSICAL SCIENCES INC. Topic: MDA12T005
Physical Sciences Inc. (PSI) and Johns Hopkins Applied Physics Laboratory (APL) propose to develop an innovative fast running post-intercept electro-optical infrared (EO/IR) scene generator. This scene generator will incorporate and leverage both PSI"s post-intercept radar debris scene generator PRSIM and APL suite of EO/IR prediction and analysis tools including the re-entry vehicle intercept sig ...STTR Phase I 2013 Department of DefenseMissile Defense Agency
SBC: LONGSHORTWAY INC. Topic: AF12BT14
ABSTRACT: LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interestSTTR Phase I 2013 Department of DefenseAir Force
SBC: AGILTRON, INC. Topic: AF12BT03
ABSTRACT: In this program, Agiltron, Inc. and Harvard University will develop a biologically-inspired integrated sensor that can detect the UV, visible (VIS), near infrared (NIR), and mid-wave infrared (MWIR) bands. This sensor will be integrated with plasmonic filters to provide additional information from the radiation field that may not be available to common image sensors. The advanced integr ...STTR Phase I 2013 Department of DefenseAir Force
SBC: CHARLES RIVER ANALYTICS, INC. Topic: MDA12T006
As the United States makes strides in developing, testing, and deploying missile defense technology, the human element remains core to the integrated, layered ballistic missile defense system (BMDS) architecture. Human operators oversee the command and control at the system, component, and element level across a vast array of networked ground-, sea-, and space-based sensors and interceptors to eff ...STTR Phase I 2013 Department of DefenseMissile Defense Agency
SBC: PHYSICAL SCIENCES INC. Topic: OSD12T01
Secure, domestic sources of rare earth elements (REE) would be of great strategic importance to the Department of Defense, as well as many commercially important industries. Our approach takes advantage of an abundant and low cost source not previously coSTTR Phase I 2013 Department of DefenseNavy
SBC: i2C Solutions, LLC Topic: AF12BT04
ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...STTR Phase I 2013 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: NUMERICA CORPORATION Topic: MDA12T007
A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...STTR Phase I 2013 Department of DefenseMissile Defense Agency