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Even the best written specifications can be complicated documents to read and understand. Normative prose is often supported by tables and diagrams intended to clarify the specification. What happens when a tool developer interprets those clarifying
Dianne L. Poster, C Cameron Miller, Richard Martinello, Norman Horn, Michael T. Postek, Troy Cowan, Yaw S. Obeng, John J. Kasianowicz
The National Institute of Standards and Technology (NIST) hosted an international workshop on ultraviolet-C (UV-C) disinfection technologies on January 14 – 15, 2020 in Gaithersburg, Maryland in collaboration with the International Ultraviolet Association
Nenad Ivezic, Boonserm Kulvatunyou, Elena Jelisic, Hakju Oh, Simon P. Frechette, Vijay Srinivasan
It is generally observed in inter-organizational communication that present-day data exchange standards are too costly and too complex to develop and use. These problems in data exchange are felt keenly by manufacturing industry with its vast supply chains
Kamal Choudhary, Kevin Garrity, Andrew C. Reid, Brian DeCost, Adam Biacchi, Angela R. Hight Walker, Zachary Trautt, Jason Hattrick-Simpers, Aaron Kusne, Andrea Centrone, Albert Davydov, Francesca Tavazza, Jie Jiang, Ruth Pachter, Gowoon Cheon, Evan Reed, Ankit Agrawal, Xiaofeng Qian, Vinit Sharma, Houlong Zhuang, Sergei Kalinin, Ghanshyam Pilania, Pinar Acar, Subhasish Mandal, David Vanderbilt, Karin Rabe
The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques
Digital twin has the potential to be an important technology for achieving smart manufacturing. However, there remains a lot of confusion about the concept and how it can be implemented in real manufacturing systems, especially among small-to-medium
Cuong T. Nguyen, Avi M. Gopstein, Danielle S. Byrnett, Kerry Worthington, Christopher Villarreal
From September to November 2018, the National Institute of Standards and Technology (NIST) partnered with the National Association of Regulatory Utility Commissioners (NARUC) to hold a series of roundtable meetings to support the revision of its Framework
Boonserm Kulvatunyou, Nenad Ivezic, Hakju Oh, Scott Nieman
With increasing use of the Industrial Internet of Things, including smart sensors, smart devices, smart machines, and software services, standards are playing increasingly important role to reduce risks associated with investments in these devices. This
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Geoffrey Fox, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Arnab Roy, Mark Underwood, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, David Boyd, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches, and the growth of data is
Wo L. Chang, Russell Reinsch, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Gregor von Laszewski, NBD-PWG NIST Big Data Public Working Group
This document summarizes interfaces that are instrumental for the interaction with Clouds, Containers, and High Performance Computing (HPC) systems to manage virtual clusters to support the NIST Big Data Reference Architecture (NBDRA). The REpresentational
Wo L. Chang, Russell Reinsch, NBD-PWG NIST Big Data Public Working Group
The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Nancy Grady, Community Resilience Program NIST
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Geoffrey Fox, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Arnab Roy, Mark Underwood, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Sanjay Mishra, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, Orit Levin, David Boyd, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
Wo L. Chang, David Boyd, Carl Buffington , NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is