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Projects/Programs

Displaying 101 - 125 of 210

Iris Exchange (IREX) Overview

Ongoing
The data used in IREX comes from publicly available datasets and from operational data provided by various government and commercial entities. The publicly available data sets may be procured from the original sources; in general, NIST does not have license to redistribute any of the public datasets

Iris Experts Group - II Homepage

Ongoing
Documents for Public Comment Some of our IEG activities generate documents that may benefit from public comment. There are three general categories: Documents that are sent to OSAC for further work. Documents that are provided to another entity (e.g. FBI NGI) for dissemination. Documents that will

Iris Projects

Ongoing
IRIS Experts Group II Starting in June 2016, NIST is convening the Iris Experts Group as a series of colloquia addressing topics of interest to operational deployment of biometrics in the United States government and more broadly. Iris Exchange (IREX) The Iris Exchange (IREX) was initiated at NIST

ITL Forensic Science Program

Ongoing
The principal goals of the Program are to develop standards, measurement methods, tests, validation studies, and technology to: Better understand and improve the accuracy and reliability of forensic science. Provide scientifically validated bases for forensic methods and standards. Establish

JARVIS-DFT

Ongoing
JARVIS-DFT hosts materials property data for ~40000 bulk and ~1000 low-dimensional crystalline materials and the database is continuously expanding. Some of the properties in the database are: formation energies, bandgaps, elastic, piezoelectric, dielectric constants, and magnetic moments

Knowledge Facilitation Project

Ongoing
As we grow to rely on the data in our computers, and that data is shared more frequently, the need for security of that data also grows. Our staff depends upon the confidentiality, integrity, and availability of the data we store and process for them. Confidentiality refers to allowing access to our

A Low-Cost Robot Science Kit for Education

Ongoing
Despite its low cost, Legolas has been demonstrated for machine learning-driven hypothesis design, discovery, and validation. For the last four years, Legolas has been used in hands-on courses at the University of Maryland to teach next-generation workforce skills, including ML, control systems

Low-Cost Sensor Platform

Ongoing
This platform uses commercially available sensors and microcontrollers, making them a fraction of the cost of traditional GHG measurement systems. Though these sensors are less accurate than traditional measurement systems, NIST hopes to reduce sensor uncertainty to the 1 ppm level with frequent

AI for Low-Field MRI

Ongoing
The overall goal of this project is to use an AI network to overcome the low Signal-to-Noise-Ratio (SNR) of low-field MRI, so that we can produce quantitative ADC measurements. This will be accomplished by a collaborative effort imaging with a low-field Hyperfine instrument, with the physicists

Machine Learning Fluid Equations of State

Ongoing
Understanding the thermodynamic properties of fluids and fluid mixtures is of central importance in many fields of science and engineering ranging from medicine to consumer products. The nature of the particles in a fluid can vary greatly depending on the type of interactions present, e.g., dipole

Machine Learning for Internet of Things (IoT)

Ongoing
Resource Allocation in IIoT Systems As with any large an complex system, Industrial Internet of Things (IIoT) deployments require the system operator to efficiently allocate the available bandwidth, computing, and energy resources. This is challenging because IIoT systems, especially large ones, can

Machine Learning for Materials Research: Bootcamps and Workshops

Ongoing
The 2016 bootcamp consisted of three days of lectures covering data processing, supervised learning and unsupervised learning as well as hands-on exercises using MATLAB covering a range of data analysis topics touching on each of the lecture . Example topics include: Identifying important

Machine Learning to Predict Food Provenance

Ongoing
Adulteration of food and food products is a pernicious problem which is difficult to solve as supply chains and international trade routes become increasingly complex; yet agriculture contributed over $1 trillion to the US GDP in 2017, [1] illustrating the importance of protecting this and related

Machine Learning to Predict Multicomponent Colloidal Crystals

Ongoing
There is a direct link between a material’s macroscopic properties and its microscopic structure, which makes rational bottom-up self-assembly a powerful tool for engineering properties of materials. In general, colloids are facile material building blocks whose shape, charge, and surface

Mathematics of Metrology: Foundations and Applications

Ongoing
Mathematics plays an important role in the science of metrology. Mathematical models are needed to understand how to design effective measurement systems, and to analyze the results they produce. Mathematical techniques are used to develop and analyze idealized models of physical phenomena to be

Measurement, Metrics, and Assurance

Ongoing
The Structured Software Assurance (SSA) task is investigating a methodology known as "structured assurance case models," which have been used extensively in assuring safety-critical systems and applications, for their potential application in assuring other software system qualities, such as

Measurement Science for Complex Information Systems

Ongoing
What are complex systems? Large collections of interconnected components whose interactions lead to macroscopic behaviors in: Biological systems (e.g., slime molds, ant colonies, embryos) Physical systems (e.g., earthquakes, avalanches, forest fires) Social systems (e.g., transportation networks

METIS

Ongoing
A Metrology Exchange to Innovate in Semiconductors

Metrics for Manipulation and Enhancements of Forensic Images

Completed
Image metrics and well-defined algorithms will be researched and developed to analyze and quantify the image transformation processes applied by forensic scientists in the context of latent fingerprint analysis. The research will focus on two principal aspects. Image Enhancement Tools The

Minutiae Interoperability Exchange (MINEX) Overview

Ongoing
MINEX III Minutiae Interoperability Exchange (MINEX) III is a continuing test of INCITS 378 fingerprint templates, as established in Annex A of NIST SP 800-76-2. The test is used to establish compliance of template generators and template matchers for the U.S. Government's Personal Identity

Mobile Cloud Computing

Ongoing
Design robustness using formal language This effort develops a formal specification using the π-calculus to define a virtual device representation. It also describes a way to compose multiple virtual devices representing physical devices available on the network to build a composite virtual

Molecular Binding Prediction for Drug Design

Ongoing
Computer simulations of large multi-molecular networks are of fundamental importance to elucidate the underlying mechanisms of key biological functions in the human body. Our vision is that only the combination of computational and experimental data can lead to the needed insight into these complex