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Projects/Programs

Displaying 101 - 125 of 205

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

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: Educating the Next Generation Materials Workforce

Ongoing
Annual Bootcamp: Machine Learning for Materials Research (MLMR) The fifth annual MLMR met in the summer of 2020 with 180 attendees from 12 countries, 30% of whom were from industry. Over the 5 years of the bootcamp, we have had attendees from a total of 19 countries. We also run tutorials at MRS

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

Multimodal Biometrics

Ongoing
MBARK: to advance standards in biometric acquisition client technologies MBGC: to focus R&D community on multiple biometric applications to advance innovation while NIST assesses performance of emerging technologies

Multi-modal AI Models with Application to Precision Medicine

Ongoing
The main goals of this project are listed as follows. Define ML/DL architectures targeted at diverse datasets consisting of spectral images and metadata of different types. Train and test the resulting ML/DL networks on data from the MP and select the best ones. Using the above-developed ML/DL

Multiple Biometric Evaluation (MBE)

MBE 2D Still Update The evaluation of 2D face recognition algorithms yielded two reports. First, NIST Interagency Report 7709 gave results for both verification and identification algorithms. Second, the NIST Interagency Report 7830 surveyed compression and resolution parameters for storing face

Multiple Biometric Grand Challenge (MBGC)

Completed
Background Over the last decade, numerous government and industry organizations have or are moving toward deploying automated biometric technologies to provide increased security for their systems and facilities. Six U.S. Government organizations recently sponsored the