Award Data

Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw

Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

The detection of radionuclide aerosols is a critical indicator of a nuclear detonation. Current detection systems used in the Comprehensive Nuclear Test Ban Treaty’s  (CTBT) global monitoring network stations spend 24 hours collecting and concentrating particulates from the air to gather enough sample material for adequate detection sensitivity. This approach is inherently a batch process that ...

The detection of radionuclide aerosols is a critical indicator of a nuclear detonation. Existing sensors as part of the International Monitoring System operate in a batch process and typically have a 48 to 72 hour delay between aerosol sample collection and measurement activities due to limits of instrument sensitivity. The continuous, instantaneous measurements of atmospheric aerosol radiation le ...

The goal of this project is to develop the Semantic Analysis Technologies for the Identification of Dual Use Research of Concern (STIR) capability.  STIR processes scientific documents using semantic technologies and inference algorithms to identify potential Dual Use Research of Concern (DURC).  The focus is on 15 high consequence pathogens and toxins and 7 experimental categories that have bee ...

A current limitation of the use of forensic genetics, in particular kinship and phenotypic prediction, is the black box nature of many of the proprietary approaches currently in the market. Lynntech Inc. proposes a Phase II effort to develop Quick Single Nucleotide Polymorphism (Quick-SNP) as a DNA forensic genomics tool following the guidelines established by the President’s Council of Advisors ...

Boron coated straw detectors developed by Proportional Technologies, Inc have proven to perform exceptionally well in many neutron detection applications of interest to DOD. Over the last several years PTI has delivered many systems to government branches

Intelligent Automation, Inc. (IAI), along with our collaborators, has successfully conducted a proof-of-concept study for a Scalable and Automated Tool to Analyze and Identify Dual Use Research of Concern from Scientific Publications: SAT-DURC. The key innovation of our proposed approach is a novel DURC identification system that combines the strength of natural language processing with machine le ...

During the Phase I effort, Proportional Technologies, Inc. developed non-saturating components for a military battlefield dosimeter based on ionization chamber technology. Chambers were thimble-shaped, made out of carbon, and incorporated different materials for the conversion of fast neutrons, thermal neutrons, and gamma radiation. Extensive testing showed that the proposed solution is feasible. ...

In Phase II of JOLTER, we will develop several extensions and improvements upon the probabilistic graphical models developed in Phase I for discovering topics, entities, and relations jointly. The system will be able to (1) Discover and extend hierarchies of topics, entities, and relations; (2) Discover categories for events, multiway relations, and their roles; (3) Conditionalize the topics, ent ...