Award Data

This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...

Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...

We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...

The US Navy’s mission to maintain, train and equip combat-ready Naval forces requires that decision makers have situational awareness of the capabilities, limitations, vulnerabilities/opportunities for adversarial and allied forces. An incomplete or inaccurate understanding of the current landscape and associated trends could lead to suboptimal mission readiness and outcomes. Analysts need tools ...

Ultra-Low Loss Technologies (ULL Technologies) is proposing in collaboration with Prof. Arka Majumdar from University of Washington (UW), to develop a compact, low-cost spectrometer module to be used for chemical sensing applications and to be fabricated using the process design kit (PDK) available through AIM Photonics multi-project wafer run (MPW). The team will combine ULL Technologies expertis ...

In this SBIR, BCL proposes developing a Multi-lingual Social-media Crowd Manipulation Detector (MSCMD). The MSCMD will use natural language processing techniques to detect terms that arouse emotion using information out of context to trigger reaction from the audience and move them to act.The MSCMD will operate in Asian languages using a Natural Language Processor for each language. The MSCMD will ...

A photonic integrated spectrometer based on high-index contrast thin film platform is proposed for Raman signal processing. Raman signal generation on the chip via waveguide collection integrated with a spectrometer is proposed to increase the efficiency and signal to noise ratio and significantly reduce cost and the size of Raman sensor systems. All components of the proposed Raman detection syst ...

We propose to develop an open, highly scalable, extensible and secure unified logging architecture for performance and cybersecurity monitoring for Naval Control Systems (NCSs). The primary goal of this architecture is to realize a centralized logging infrastructure for monitoring the status of the entire NCS through collecting and aggregating logs from all subsystems. It will be built upon widely ...

Mirios Inc., in collaboration with UCSB and NRL, proposes to construct a high-brightness MWIR (~4.5-4.9 µm) light source, consisting of a single silicon chip with an array of Quantum Cascade Lasers which are fully-integrated with wavelength beam combiners.