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Search Publications

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  • Published Date
Displaying 101 - 125 of 661

Foundations of information governance for smart manufacturing

June 11, 2019
Author(s)
KC Morris, Yan Lu, Simon P. Frechette
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

A data science challenge for converting airborne remote sensing data into ecological information

February 28, 2019
Author(s)
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

A Deep Learning-Based Weather Forecast System for Data Volume and Recency Analysis

February 18, 2019
Author(s)
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

Generating Domain Terminologies using Root- and Rule-Based Terms

December 21, 2018
Author(s)
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

COMPARISON OF DATA ANALYTICS APPROACHES USING SIMULATION

December 9, 2018
Author(s)
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

NIST Conference Papers: Fiscal Year 2016

October 30, 2018
Author(s)
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

NIST IAD DSE Evaluation Plan 2018

October 16, 2018
Author(s)
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

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

October 2, 2018
Author(s)
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

Model-Based Approach Towards Integrating Manufacturing Design and Analysis

July 10, 2018
Author(s)
Anantha Narayanan Narayanan, Yung-Tsun T. Lee
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

Operationalizing Bibliometrics as a Service in a Research Library

June 11, 2018
Author(s)
Susan L. Makar, Amy Trost
During the past year, librarians in the Information Services Office (ISO) of the National Institute of Standards and Technology (NIST) expanded ISO’s bibliometric analysis services to include topic analysis and more customized services. The new services

Testing IoT Systems

March 26, 2018
Author(s)
Jeffrey M. Voas, David R. Kuhn, Phil Laplante
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

Overview of the NIST 2016 LoReHLT Evaluation

November 13, 2017
Author(s)
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

Design Patterns for Visualization-Based Tools in Sustainable Product Design

November 5, 2017
Author(s)
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

Using Replicates in Information Retrieval Evaluation

August 2, 2017
Author(s)
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
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