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Information Technology

Data & informatics

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  • Published Date
Displaying 151 - 175 of 661

MyData API Patterns: OAuth

December 8, 2016
Author(s)
Martin Burns, David A. Wollman
The My Data initiatives are part of the Administration's efforts to empower Americans with secure access to their own personal data, and to increase citizens' access to private-sector data-based applications and services. With its focus on personal data

An Open Web-Based Repository for Capturing Manufacturing Process Information

December 1, 2016
Author(s)
William Z. Bernstein, Mahesh Mani, Katherine C. Morris, Kevin W. Lyons, Bjoern J. Johansson
With recent progress in developing more effective models for representing manufacturing processes, this paper presents an approach towards an open web-based repository for storing manufacturing process information. The repository is envisioned to include

Towards a generalized energy prediction model for machine tools

November 9, 2016
Author(s)
Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri
Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the

Modeling the Internet of Things and People: A Foundational Approach

November 1, 2016
Author(s)
Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram
As we extend the reach of the Internet through sensing and automation, networked systems interact more and more of our daily lives, requiring much greater sensitivity to social networks and greater robustness in the face of human behavior. A tremendous

Video Analytics at the Edge

October 28, 2016
Author(s)
John S. Garofolo
This is a slide for an invited panel talk at the First IEEE/ACM Symposium on Edge Computing on the need for research in edge computing and future standards related to video analytics in safety and security video network domains such as public safety.

DIGITAL SOLUTIONS FOR INTEGRATED AND COLLABORATIVE ADDITIVE MANUFACTURING

August 23, 2016
Author(s)
Yan Lu, Paul Witherell, Felipe F. Lopez, Ibrahim Assouroko
Software tools, knowledge of materials and process models, and data provide three pillars on which Additive Manufacturing (AM) lifecycles and value chains can be supported. These pillars leverage efforts dedicated to the development of AM databases, high

Enabling Smart Manufacturing Technologies for Decision-Making Support

August 21, 2016
Author(s)
Moneer M. Helu, Don E. Libes, Joshua Lubell, Kevin W. Lyons, Katherine C. Morris
Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and

A New International Data Science Program

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
This article sets out to examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and associated Data Science Evaluation (DSE) series

Data Science Research Program at NIST Information Access Division

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Initiative and evaluation series, introduced by the Information Access Division at the

Machine Condition Detection For Milling Operations Using Low Cost Ambient Sensors

July 27, 2016
Author(s)
Anantha Narayanan Narayanan, Alec Kanyuck, Satyandra K. Gupta, Sudarsan Rachuri
In recent years, sensor technology and data mining capabilities have advanced greatly, allowing advanced manufacturing enterprises to closely monitor their manufacturing operations. Conditions such as tool breakage and tool wear can be predicted by

Getting the units right

July 25, 2016
Author(s)
Howard S. Cohl, Moritz A. Schubotz, David Veenhuis
To understand applied physics, and physical formulae in particular, the investigation of identifier units is beneficial. However, normally the units are not given explicitly in formulae and have to be inferred. In this paper, we investigate how this

Using Category Theory to facilitate multiple manufacturing service database integration

July 20, 2016
Author(s)
Spencer J. Breiner, Albert T. Jones, David I. Spivak, Eswaran Subrahmanian, Ryan Wisnesky
The goal of this paper is to illustrate the use of category theory as a basis for the integration of manufacturing service databases. In this paper we use as our reference prior work by Kolvatunyu, et. al (2013) on the use of Ontology Web Language(OWL)

Semantification of Identifiers in Mathematics for Better Math Information Retrieval

July 17, 2016
Author(s)
Moritz Schubotz, Alexey Grigoriev, Howard Cohl, Norman Meushke, Bela Gipp, Volker Markl
Mathematical formulae are essential in science, but face challenges of ambiguity, due to the use of a small number of identifiers to represent an immense number of concepts. Corresponding to word sense disambiguation in Natural Language Processing, we

Towards a Lifecycle Information Framework and Technology in Manufacturing

July 14, 2016
Author(s)
Thomas D. Hedberg, Allison Barnard Feeney, Moneer M. Helu, Jaime A. Camelio
Industry has been chasing the dream of integrating and linking data across the product lifecycle and enterprises for decades. However, industry has been challenged by the fact that the context in which data is used varies based on the function in the

An Informatics Infrastructure for the Materials Genome Initiative

July 6, 2016
Author(s)
Alden A. Dima, Sunil K. Bhaskarla, Chandler A. Becker, Mary C. Brady, Carelyn E. Campbell, Philippe J. Dessauw, Robert J. Hanisch, Ursula R. Kattner, Kenneth G. Kroenlein, Adele P. Peskin, Raymond L. Plante, Guillaume Sousa Amaral, Zachary T. Trautt, James A. Warren, Sharief S. Youssef, Sheng Yen Li, Pierre Francois Rigodiat, Marcus W. Newrock
A materials data infrastructure that enables the sharing and transformation of a wide range of materials data is an essential part of achieving the goals of the Materials Genome Initiative. We describe two high-level requirements of such an infrastructure

Enabling Interactive Measurements from Large Coverage Microscopy

July 1, 2016
Author(s)
Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Mary C. Brady, Joe Chalfoun, Michael P. Majurski
Microscopy could be an important tool for characterizing stem cell products if quantitative measurements could be collected over multiple spatial and temporal scales. With the cells changing states over time and being several orders of magnitude smaller

TRECVid Semantic Indexing of Video: A 6-Year Retrospective

July 1, 2016
Author(s)
George M. Awad, Cees Snoek, Alan Smeaton, Georges Quenot
Semantic indexing, or assigning semantic tags to video samples, is a key component for content-based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero

Promoting Repeatability Through Open Runs

June 7, 2016
Author(s)
Ellen M. Voorhees, Shahzad K. Rajput, Ian M. Soboroff
TREC 2015 introduced the concept of ‘Open Runs’ in response to the increasing focus on repeatability of information retrieval experiments. An Open Run is a TREC submission backed by a software repository such that the software in the repository reproduces

Expected net gain data of low-template DNA analyses

May 30, 2016
Author(s)
Simone N. Gittelson, Carolyn R. Steffen, Michael D. Coble
Low-template DNA analyses are affected by stochastic effects which can produce a configuration of peaks in the electropherogram (EPG) that is different from the genotype of the DNA's donor. A probabilistic and decision-theoretic model can quantify the
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