Award Data

Semantically Linked Data is widely seen as a revolutionary approach for maximizing the usefulness of existing and future information. In the materials domain, semantically linked materials data holds considerable promise with the ability to facilitate materials research and product development, improve communication, and open up avenues for new types of materials informatics. But realizing the pro ...

This effort proposes to develop a toolset to evaluate the effectiveness of a safety-controller that monitors a learning-based autonomous control system. The traditional use of deterministic verification techniques for real-time monitoring is not feasible in the presence of uncertainty. This effort would advance the recommended verification techniques to include non-deterministic approaches. The ...

Barron Associates has assembled a team of researchers that include Dr. Sayan Mitra of the University of Illinois and Dr. Ufuk Topcu of the University of Pennsylvania. They will spearhead three complimentary investigations into the development of verification and validation (V & V) approaches for adaptive systems protected by run time assurance (RTA) mechanisms. Two of these approaches involve us ...

Existing physics-based device simulation tools are prohibitively expensive computationally, and therefore ill-suited for parametric analysis and design optimization of photonic integrated circuits (PIC). The proposed effort aims to develop and demonstrate an innovative, easy-to-use simulation tool for accurate, fast circuit/system analysis of PICs. The salient aspects of the proposed solution are: ...

Pacific Science & Engineering Group (PSE) proposes to design, develop, and demonstrate a prototype human-autonomous system tool & #208;Operators Context and Trust in Automation Visualization (OCTAV) & #208; that will support improved transparency, trust, and human-machine team performance. OCTAV will automatically monitor human and autonomous system team context and task, visualize context-based s ...

A formal approach to the management of information involved in human-automation interactions is proposed. The mathematical formalism is enabled by employing the notion of hybrid systems. The information management involves ensuring correct information flow and shared cognition between human operators and machines. It is envisioned that the proposed algorithms will formalize the analysis of human-a ...

HCV infects about 3% of the world's population and most people are unaware of the infection status. About 80% of individuals with HCV infection develop chronic hepatitis and many progress to have cirrhosis and hepatocellular carcinoma (HCC). An early diagnosis in the course of the disease not only increases the chances successful treatment, but also effectively limits further transmission of HCV ...

Liver Cancer is the sixth most common cancer and the third leading cause of cancer death worldwide. Early diagnosis of liver cancer will have a significant impact on survival by implementation of effective tratment strategies. The development of novel biomarkers in serum for liver cancer proteomics will significantly improve noninvasive for early detection of liver cancer. This proposal is to ...

The project goal is to research and identify a confidential and technologically feasible method to communicate HIV/STD and preventive EOB information to young woman ages 19 to 25 through a moble application. Engineered Care will speak with privacy and HIPPA experts, payors, technology experts managing payor claims data and youth advocates to prototype a feasible smartphone mobile application. EC i ...

Diphtheria is an acute bacterial disease with a considerable case fatality rate caused by toxigenic Corynebacteria. Diphtheria toxin (DT) is the major virulence factor for these organisms. DT is synthesized and secreted as a single-polypeptide pro-enzyme that is cleaved and reduced in vivo to produce a toxic protein consisting of A and B fragments (1). DT has an estimated lethal dose for humans of ...