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The Optical Technology Division is one of six technical divisions in the Physics Laboratory at NIST. As a provider of standards, services, and research, our customers, collaborators, constituents, and stakeholders are located virtually every where. The
Susan L. Makar, Amanda J. Malanowski, Talapady N. Bhat
The Protein Data Bank (PDB) was established at Brookhaven National Laboratories in 1971 as an archive for biological macromolecular crystal structures. Originally, it contained only seven structures; today it holds over 129,000 structures for large
Zhiyi Song, Ann Bies, Stephanie Strassel, Teruko Mitamura, Hoa T. Dang, Joe Ellis, Sue Holm, Yakari Yamakawa
In this paper, we describe the event nugget annotation created in support of the pilot Event Nugget Detection evaluation in 2014 and in support of the Event Nugget Detection and TAC KBP open evaluation in 2015. We present the data volume for both training
We present a case study in which we use natural language processing and machine learning techniques to automatically select candidate scientific articles that may contain new experimental thermophysical property data from thousands of articles available in
Alden A. Dima, Kenneth G. Kroenlein, Sharief S. Youssef, Yuanyuan Feng
The goal of this work is to explore the feasibility of using open-source-based document classification techniques using features generated via topic modeling on scientific journal articles where there is ground truth as to the relevance of individual
All cities can be seen as a collection of commons. Commons are spaces, services and resources shared by the citizenry. Any change in the state of any one of the commons could lead to a potential action or actions. In this paper we illustrate the use of a
George M. Awad, Wessel Kraaij, Paul Over, Shin'ichi Satoh
This paper presents an overview of the Video Instance Search benchmark which was run over a pe- riod of 6 years (2010-2015) as part of the TREC Video Retrieval (TRECVID) workshop series. The main contributions of the paper include i) an examination of the
A new pilot task was introduced and evaluated during the TRECIVD 2016 workshop cycle. The task evaluates methods that provides solutions to describe short videos into natural text descriptions and also methods that matches short videos to short english
Jinkyoo Park, David Lechevalier, Ronay Ak, Max K. Ferguson, Kincho H. Law, Yung-Tsun Lee, Sudarsan Rachuri
This paper describes a Predictive Model Markup Language (PMML) representation of Gaussian Process Regression (GPR) models. PMML is an XML-based standard language used to represent data mining and predictive analytic models, as well as pre- and post
Jeffrey M. Shainline, Sonia M. Buckley, Richard P. Mirin, Sae Woo Nam
We propose a hybrid semiconductor-superconductor hardware platform for the implementation of neural networks and large-scale neuromorphic computing. The platform combines semiconducting few-photon light-emitting diodes with superconducting-nanowire single
The NIST Research Library occupies the unique position of serving NIST both as publisher of the NIST Technical Series and in an archival capacity, responsible for collecting and preserving copies of NIST's grey literature. Over the last 15 years, the
Dhananjay Anand, Allen R. Goldstein, Alison Silverstein, Laurie Miller, Francis Tuffner, Yuri Makarov
Data from synchrophasor devices like phasor measurement units (PMU) is increasingly being used to enhance and improve power grid operations, analysis, and planning applications. However, PMU data often arrive at the application with a variety of data
John Bowden, Jeremy P. Koelmel, Nicholas M. Kroeger, Emily L. Gill, Candice Z. Ulmer, Rainey E. Patterson, Richard A. Yost, Timothy J. Garrett
Untargeted omics analyses aim to comprehensively characterize biomolecules within a biological system. Changes in the presence or quantity of these biomolecules can indicate important biological perturbations, such as those caused by disease. With current
As the speed and quality of different analytical platforms increase, it is more common to collect data across multiple biological domains in parallel (i.e., genomics, transcriptomics, proteomics, and metabolomics). There is a growing interest in algorithms
Werickson Fortunato de Carvalho Rocha, Michele M. Schantz, David Sheen, Katrice Lippa, Pamela M. Chu
As feedstocks transition from conventional oil to increasing amounts of unconventional petroleum sources and biomass, it will be necessary to determine whether a particular fuel or fuel blend is suitable for use in engines. Certifying a fuel as safe for
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The data dependency due to multiple use of the same subjects has impact on the standard error (SE) of the detection cost function (DCF) in speaker recognition evaluation. The DCF is defined as a weighted sum of the probabilities of type I and type II
Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
The goal of this paper is to provide a category theoretic ontology for the creation of a collaborative platform where it allows group of people to share or use the knowledge in a domain. We use Indian music as a case study to demonstrate the power of
The Public Safety Communications Research Program (PSCR) convened over 80 stakeholders at the National Institute of Standards and Technology (NIST) Boulder, CO campus to build on the findings presented in the 2015 Location-Based Services (LBS) Summit- held
Big Data Research is something new, a practice rooted in large-scale data collection that frequently combines aspects of research, experimentation, and entertainment. Yet another mismatch between the worlds of Big Data research and IRB system are the
Petru S. Manescu, Young Jong Lee, Charles Camp, Marcus T. Cicerone, Mary C. Brady, Peter Bajcsy
This paper addresses the problem of classifying materials from microspectroscopical images at each pixel. The challenges lie in identifying discriminatory spectral features and obtaining accurate and interpretable models relating spectra and class labels
Antoine Vandecreme, Michael P. Majurski, Joe Chalfoun, Keana Scott, John Henry Scott, Mary C. Brady, Peter Bajcsy
This article aims at introducing readers to a web-based solution useful for interactive measurements of centimeter-sized specimens at nanoscales. Modern imaging technology has enabled nanoscale imaging to become a routine process. As the imaging technology
Development of smart city services is presently hindered because the data is too heterogeneous, despite the increasing availability of data in open data initiatives. We determined metadata fields and semantics for our proposed model after a survey of other