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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: FREENT TECHNOLOGIES, INC. Topic: MDA13015
FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
SBC: NOVATEUR RESEARCH SOLUTIONS LLC Topic: MDA15T001
This Small Business Technology Transfer project will develop a mathematical framework and enabling technologies for context-aware target classification and selection for missile defense systems in the presence of counter-measures and clutter in realistic scenarios. Based on statistical relationship learning (SRL) methodology, the proposed framework can reason simultaneously about multiple entries ...STTR Phase I 2016 Department of DefenseMissile Defense Agency
SBC: GCAS, Inc. Topic: MDA13T001
Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...STTR Phase II 2016 Department of DefenseMissile Defense Agency
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001
ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitionsSBC: MAKEL ENGINEERING INC Topic: DTRA16A001
This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
SBC: TOYON RESEARCH CORPORATION Topic: MDA12T004
Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
SBC: CFD RESEARCH CORPORATION Topic: MDA16T001
Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...STTR Phase I 2017 Department of DefenseMissile Defense Agency
SBC: FREENT TECHNOLOGIES, INC. Topic: MDA16T006
FreEnt Technologies, Inc., along with A2Z Innovations, Inc. (A2Z) and the University of Alabama in Huntsville (UAH) are teaming together to design and develop a High-Speed Simultaneous Multiple Object Detection (HS-SMOD). The HS-SMOD system uses a simple but innovative technique of a passive fiber-optic grid and opto-electronic detectors to measure the initial and subsequent hit points of extremel ...STTR Phase I 2017 Department of DefenseMissile Defense Agency
Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care ApplicationsSBC: GeneCapture, Inc. Topic: CBD15C001
The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust moleculaSTTR Phase I 2016 Department of DefenseOffice for Chemical and Biological Defense
SBC: RELIABLE MICROSYSTEMS LLC Topic: DTRA16A003
Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency