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SBC: Luminit LLC Topic: AF18BT004
To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Silvus Technologies, Inc. Topic: AF18BT005
Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or â€˜RF-AIMâ€™. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Electronics of the future, Inc.. Topic: AF18BT006
The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Guidestar Optical Systems, Inc. Topic: AF19AT006
Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Information Systems Laboratories, Inc. Topic: AF19AT010
Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SOUTH 8 TECHNOLOGIES, INC. Topic: AF19AT014
The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Electro Magnetic Applications, Inc. Topic: AF19AT017
Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...STTR Phase I 2019 Department of DefenseAir Force
SBC: MARC PEREZ Topic: AF19BT001
In the wake of ransomware reaching epidemic proportions and the current anti-ransomware productsâ€™ inability to stop its march, there is a great deal of urgency in creating effective countermeasures. Our proposal is to design and subsequently develop a technology called Program Access Control (PAC), that can positively protect data on both consumer and enterprise systems. If successfully dep ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Semicyber, LLC Topic: AF19BT001
There are numerous ongoing research and development efforts on SansEC technology for applications to enhance warfighter and commercial technologies. Two major SansEC applications of interest are (1) the detection of damage on composite airframes, (2) the measuring of the shape of morphing airframes actively in-flight, and subsequently feeding this information back to a flight control system in rea ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Electronics of the future, Inc.. Topic: AF19BT001
The focus of this proposal is FA-002 - artificial intelligence (AI), which will be used for the hardware cyber security. AI will link the THz and sub-THz responses at the pins to the defects and deviations from design of the integrated circuits under test. An increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a key problem. New rapid, inex ...STTR Phase I 2019 Department of DefenseAir Force