Award Data

To meet the requirements of the AF18A-T015 solicitation, MaXentric and University of California San Diego are proposing the development of a low loss, high linearity capacitor. The tunable capacitor target is a compact integrated design, capable of a tuning range up to 4:1, with a minimum Q of 80 at 4 GHz, and handling up to 20W CW. During phase I, UCSD studied a novel varactor structure to improv ...

The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

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 ...

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 ...

This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...

The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

This effort seeks verification tools and techniques to ensure safety and stability of spacecraft Guidance, Navigation, and Control (GN&C) algorithms, particularly the attitude control system integrated with autonomy software. Advanced control algorithms and autonomy are increasingly necessary to enable responsiveness of fleets of vehicles to attitude constraints and object avoidance. Verus Researc ...

The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

Human analysts are presented with ever-increasing amounts of data to process, taxing the limitations of human cognitive capacity. This cognitive overloading leads to increased likelihood of errors and accidents, with costly consequences in mission critical operations. Consequently, there is a rising demand for more efficient processing of increasingly large amounts of intelligence. Transcranial di ...

Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...