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, ...

Graphene Waves proposes to develop a quantum Hall resistance (QHR) standard based on graphene that can be deployed for general electrical calibration in industries. Current QHR standard is based on GaAs/AlGaAs heterostructure and requires expensive liquid helium to operate. The continuous increase in price and unstable supply chain of liquid helium limit the QHR standard to be only affordable by t ...

Parman Tech is dedicated to commercializing a NIST technology for sorting nano-particles. This technology uses the force of light to gently guide particles along different paths depending on the size of makeup of each particle.

We propose to create an advanced forensic analysis tool called TheSieve. This tool will use machine learning techniques that can classify files as malicious or benign as well as suggesting files for closer inspection. Built upon custom enhancements to the National Software Reference Library (NSRL), TheSieve will allow forensic investigators to spend theirvaluable time examining the most significan ...

TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...

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 ...

This proposal from Climate Forecast Applications Network addresses the challenge of providing business-relevant subseasonal forecasts for the energy and agricultural sectors, including applications to renewable energy. An innovative multi-model prediction system using the CFSv2 and ECMWF forecasts will be developed to exploit the advantages of each model. An interactive web-based dashboard system ...

The ISABEL program will create symbolic execution signatures to classify bugs in the NIST Bugs Framework. Using the symbolic execution signature ISABEL will find a program input to trigger the bug using fuzz testing. ISABEL will integrate its bug categorization and bug triggering capability with a software development environment using a flexible framework that will allow both open source and comm ...