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SBC: MANTEL TECHNOLOGIES, INC. Topic: N19AT013
The U.S. Navy seeks methods to improve the fuel economy of marine diesel engines through utilization of waste heat. Low temperature engine jacket water, lubrication oil, and aftercooler air are largely untapped streams of thermal energy on these ships, but their utilization circumvents many operation challenges associated with exhaust gases. For example, variable and high exhaust gas temperatures ...STTR Phase I 2019 Department of DefenseNavy
High Speed Spinning Scroll Expander (HiSSSE)- Organic Rankine Cycle for Increased Naval Ship Power Density and Fuel EfficiencySBC: Air Squared, Inc. Topic: N19AT013
Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...STTR Phase I 2019 Department of DefenseNavy
SBC: SPECTRAL ENERGIES LLC Topic: N19AT013
The STTR topic N19A-T013 seeks innovative technology to improve the power density and efficiency of propulsion and power generation devices. To address this challenge, Spectral Energies in collaboration with its academic partner Dr. Rory Roberts at Wright State University proposes to develop a compact heat recovery system based on a supercritical CO2 based Rankin Cycle. At the end of the STTR prog ...STTR Phase I 2019 Department of DefenseNavy
SBC: SPECTRAL SCIENCES INC Topic: N19AT015
Accurate characterization of and propagation modeling through the Marine Boundary Layer is critical for maximizing Electro-Magnetic (EM) systems signal exploitation for naval asset offensive, defensive, and stealth operational performance. Strong temperature and humidity gradients in the Surface Boundary Layer lead to optical paths exhibiting Electro-Optic Infrared (EOIR) anomalous refraction and ...STTR Phase I 2019 Department of DefenseNavy
SBC: ADVANCED CONDUCTOR TECHNOLOGIES LLC Topic: N19AT016
The Navy has been developing superconducting systems, based on high-temperature superconductors (HTS), for future use on Navy ships. One of the challenges associated with superconducting magnets is the possibility of a quench, which is an event where a local hot spot develops within the superconductor that quickly spreads throughout the device, driving it into its normal and dissipative state. Sen ...STTR Phase I 2019 Department of DefenseNavy
SBC: TAI-YANG RESEARCH COMPANY Topic: N19AT016
Energy to Power Solutions (e2P) has teamed with quench detection (QD) expert Dr. Yuri Lvovsky (retired GE), Dr. Sastry Pamidi of the Center for Advanced Power Systems (FSU-CAPS), and American Superconductor Corporation (AMSC) to design, fabricate, and test a robust, reliable, and low cost QD system. e2P’s proposed system is a vastly different quench avoidance system that will provide multiple le ...STTR Phase I 2019 Department of DefenseNavy
SBC: BLUERISC INC Topic: N19AT018
BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...STTR Phase I 2019 Department of DefenseNavy
SBC: INTELLIGENESIS LLC Topic: N19AT021
Our solution will provide an automated system driven by advanced analytics and machine learning techniques to capture network traffic (including potential malicious events), perform forensic analysis of the events to identify threat actor tactics, techniques, and procedures (TTPs), create a database of classified events and TTPs (threat models) from which connections can be made between events, ac ...STTR Phase I 2019 Department of DefenseNavy
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N19AT021
We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capab ...STTR Phase I 2019 Department of DefenseNavy
SBC: APTIMA INC Topic: N19AT021
The United States relies on networks of cyber-physical systems to conduct military and commercial operations, such as logistics, transportation, information sharing, energy production and distribution, financial transactions, elections, and infrastructure management. As the volume and diversity of cyber-attacks on these networks dramatically increase, there is a growing need for advanced tools and ...STTR Phase I 2019 Department of DefenseNavy