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The manufacturing systems of the future will be even more heavily dependent on the data than they are today. More and more data and information are being collected and communicated throughout product development lifecycles and across manufacturing value
Lawrence D. Nadel, Mary T. Laamanen, Michael D. Garris, Craig S. Russell
This document updates and replaces NISTIR 8161. This revised recommendation continues to focus on storing metadata to support video analytics. At the FBI's request, NIST conducted research and developed NISTIR 8161 as a recommendation to address the FBI's
Niksa Blonder, Benjamin C. Orsburn, Josip Blonder, Carlos A. Gonzalez
Herein we introduce the Visual Mass-Spec Share (vMS-Share), a new public mass spectrometric (MS) repository and data mining website/resource freely accessible at https://vmsshare.nist.gov. vMS-Share is a webbased application developed for instant
Sergio Marconi, Sarah J. Graves, Dihong Gong, Shahriari Nia Morteza, Marion Le Bras, Bonnie J. Dorr, Peter Fontana, Justin Gearhart, Craig Greenberg, Dave J. Harris, Sugumar A. Kumar, Agarwal Nishant, Joshi Prarabdh, Sandeep U. Rege, Stephanie A. Bohlman, Ethan P. White, Daisy Z. Wang
In recent years ecology has reached the point where a data science competition could be very productive. Large amounts of open data are increasingly available and areas of shared interest around which to center competitions are increasingly prominent. The
Jarrett Booz, Wei Yu, Guobin Xu, David W. Griffith, Nada T. Golmie
Accurate weather forecast is important to our daily life. Through physical atmospheric models, the weather can be accurately forecasted in a short period time. To provide weather forecast, machines learning techniques can be used for understanding and
Theodore L. Fobe, Andrei F. Kazakov, Demian Riccardi
Cysteine is a multifaceted amino acid that is central to the structure and function of many proteins. A disulfide bond formed between two cysteines restrains protein conformations through the strong covalent bond and torsions about the bond that pre- fer
Talapady N. Bhat, John T. Elliott, Ursula R. Kattner, Carelyn E. Campbell, Eswaran Subrahmanian, Ram D. Sriram, Jacob Collard, Monarch Ira
Motivated by the need for exible, intuitive, reusable, and normalized ter- minology for the semantic web, we present a general approach for generat- ing sets of such terminologies from nat- ural language documents. The terms that this approach generates
Sanjay Jain, Anantha Narayanan Narayanan, Yung-Tsun Lee
Selecting the right data analytics (DA) approach for an application is rather complex. Obtaining sufficient and right kind of data for evaluating these approaches is a challenge. Simulation models can support this process by generating synthetic data where
Andrea M. Medina-Smith, Kathryn Miller, Karen J. Wick
NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and consistent with law, agency mission, resource constraints, and U.S. national, homeland, and economic
Bonnie J. Dorr, Peter Fontana, Craig Greenberg, Marion Le Bras, Maxime Hubert, Alexandre F. Boyer
This document describes the plan for the National Institute of Standards and Technology (NIST) Information Access Division (IAD) Data Science Evaluation (DSE) Series Evaluation to be held starting July 2018 (Tentative). The DSE consists of a series of
Saideep Nannapaneni, Anantha Narayanan Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Lee
Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A
As internet technologies and cloud-based services evolve, a new market structure is emerging across various industries, and particularly in the data-driven-analytics-services industry. This could have a great impact in the smart manufacturing sector, where
During the past year, librarians in the Information Services Office (ISO) of the National Institute of Standards and Technology (NIST) expanded ISOs bibliometric analysis services to include topic analysis and more customized services. The new services
AbstractMobile cloud computing is an emerging area where two trends come together to compose its major pillars. On one hand, the virtualization affecting the data centers hypervisors. On the other hand, devices mobility, especially Smart Phones, which
The ability to test systems that are based on the underlying products and services commonly referred to as the Internet of 'things' (IoT) is discussed. The role of a static metric that can be applied to design, architectures, hardware, 'things', and
This presentation contains the Surveillance Event Detection (SED) Retrospective Task summary and results of the TRECVID '17 evaluation. In this 10th year of the evaluation, seven teams participated in the evaluation and built systems to detect seven events
Audrey N. Tong, Lukasz L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David M. Joy, Kay Peterson, Ian M. Soboroff
Initiated in conjunction with DARPA's Low Resource Languages for Emergent Incidents (LORELEI) Program, the NIST LoReHLT (Low Re-source Human Language Technology) evaluation series seeks to incubate research on fundamental natural language processing tasks
Deverajan Ramanujan, William Z. Bernstein, Karthik Ramani
Most design activities involve exploring and comparing similar existing designs. Thus, adopting an eco-conscious approach in the design exploration process can aid environmentally sustainable product design (SPD). A promising approach for supporting
Olivera Kotevska, Aaron Gilad Kusne, Daniel Samarov, Ahmed Lbath, Abdella Battou
Today's cities generate tremendous amounts of data thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context- aware services and systems, ensuring smart city services are
Ellen M. Voorhees, Daniel V. Samarov, Ian M. Soboroff
This paper explores a method for more accurately estimating the main effect of the system in a typical test-collection-based evaluation of information retrieval systems, and thus increasing the sensitivity of system comparisons. Randomly partitioning the
Tandem mass spectral library searching is finding increased use as an effective means of determining chemical identity in mass spectrometry-based omics studies. We previously reported on constructing a tandem mass spectral library that includes spectra for
The National Institute of Standards and Technology (NIST) Information Services Office (ISO) is currently conducting a multi-year project to digitize 24 000 legacy agency publications. These include a large number of scientific technical reports. This paper