List

CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

To automatically detect software bugs, understand their characteristics, and categorize them according to the evolving NIST Bugs Framework (BF), SIFT is developing ISABEL: Integrated Secure Automated Bug Extraction List. ISABEL will provide three key functions:- Using symbolic analysis and fuzz-testing tools to find inputs that trigger vulnerabilities (bugs).- Using fuzz-testing, delta-debugging, ...

N5 Sensors have teamed up with University of Tennessee, Molecule Works Inc., and Syracuse University Center of Excellence for Environmental and Energy Systems to develop and commercialize a breakthrough digital system-on-chip (SoC) CO2 sensor technology that will satisfy the ARPA-E’s SENSOR program’s energy saving goal in commercial and residential buildings. This project represent a collabora ...

N5 Sensors have teamed up with University of Tennessee, Molecule Works Inc., and Syracuse University Center of Excellence for Environmental and Energy Systems to develop and commercialize a breakthrough digital system-on-chip (SoC) CO2 sensor technology that will satisfy the ARPA-E’s SENSOR program’s energy saving goal in commercial and residential buildings. This project represent a collabora ...

New shape-engineered iron-based microscopic contrast agents (MCAs) for magnetic resonance imaging promise to increase diagnostic accuracy while reducing side effects, and enhance scientists’ ability to track stem cells. Currently, techniques used for making multispectral microscale contrast agent particles are cost prohibitive. In Phase I, an innovative technique (employing template-guided elect ...

The objective of this Phase II project is to research, develop, and commercialize a resonant scan lens (RSL) for use in a resonant light detection and ranging (R-LIDAR) distance sensor. R-LIDAR uses a resonant optomechanical system to generate a beam scan. While resonant optomechanical systems produce high-speed and large field-of-view (FOV) scans from a miniature form factor, the beam scans lack ...

Phase II of the New METSAT Display project will produce a working beta version of the Earth Imaging product customized for NWS/NOAA as outlined in the Phase I proof of concept. This product will ingest imagery from a data source (in this case a web service of NOAA satellite imagery) and display it accurately on a globe of the Earth. Vector data such as roads, cities, towns, counties, states, etc. ...

To build a climate-smart and resilient nation, we need to foster a climate-literate public that understands its vulnerabilities to a changing climate and makes informed decisions. A core component of this challenge is to develop simple, intuitive and high-impact visualizations of climate data--data that is and will be made available through the President’s Climate Data Initiative--for education ...

The measurement and quality control for smooth engineering surfaces are becoming more and more important in modern science and technology due to their important engineering functions and high production costs. NIST has frequently received requests from U.S. industry to provide Standard Reference Material (SRM) high-precision, random profile roughness specimens to support smooth surface measurement ...

NIST and G2 have been on the forefront of security automation with the development of the Security Content Automation Protocol (SCAP). However, the barrier to entry for SCAP content creation is the requirement to have in depth knowledge of the underlying specifications. This project aims to allow security experts to create SCAP content without the need to be an expert in the specification. By leve ...