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SBC: SIEGE TECHNOLOGIES, LLC Topic: AF16AT11
The widespread adoption of cloud computing resources has resulted in the proliferation of virtualization technologies.New technology begets new attack vectors; consequently, a new breed of malware techniques have emerged that detect the presence of a virtual machine or hypervisor and respond by directly attacking the hypervisor in an attempt to breakout of the virtual machine container. To counter ...STTR Phase I 2016 Department of DefenseAir Force
Experimentally Derived Scaling Laws from Spatiotemporally Resolved Measurements in High-Pressure CombustorsSBC: SPECTRAL ENERGIES LLC Topic: AF16AT15
The objectives of this research effort (combined Phase-I and Phase-II) are to experimentally derive the scaling laws up to 30 bar for key combustion species and temperature for reactions involving various hydrocarbon fuels in such a way so that the measu...STTR Phase I 2016 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: TRUVENTIC LLC Topic: AF16AT15
The US Air Force requires quantitative spatially and temporally resolved measurements of key rate-controlling intermediate species in reacting flows at elevated pressures for Air Force advanced propulsion systems. Such information is critically needed fo...STTR Phase I 2016 Department of DefenseAir Force
SBC: CFD RESEARCH CORPORATION Topic: AF16AT14
Next-generation turbulent combustion models must enable accurate prediction of lean blow-out and flashback for complex geometries, fuels and operating conditions relevant to the Air Force. Improved models are needed to better predict kinetically and hydr...STTR Phase I 2016 Department of DefenseAir Force
SBC: Samraksh Company, The Topic: AF16AT10
Endpoints in the Internet of Things (IoT) vary considerably in their hardware-software architecture and their functional capability. The IoT marketplace is unlikely to converge on a single or a few dominant endpoint platforms in the near term and potentially even long term future.This creates a major problem and an opportunity for securing IoT endpoints that are being increasingly integrated in cr ...STTR Phase I 2016 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: GEOMETRIC DATA ANALYTICS INC. Topic: AF16AT12
Extracting information from different modalities of data is one of the greatest challenges in this era of exponential data growth, as well as one of the most promising horizons for the development of new capabilities for military, commercial, and scientific applications. Virtually all areas of defense, industry, and science are becoming increasingly dependent on the ability to analyze multimodal d ...STTR Phase I 2016 Department of DefenseAir Force
SBC: Faraday Technology, Inc. Topic: AF16AT20
This proposal addresses the need for development of room-temperature ionic liquids (RTILs) for use in electrolytes for reversibly electroplating films with specific optical, emissive and electrical properties on demand. Target applications for these elec...STTR Phase I 2016 Department of DefenseAir Force
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