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High precision mass comparisons are typically performed such that both masses are measured under nearly identical conditions. However, there are situations...
This paper discusses the potential advantages and pitfalls of using semantic web technologies for representing and integrating modeling and analysis tools...
Prem K. Rachakonda, Balasubramanian Muralikrishnan, Craig M. Shakarji, Vincent D. Lee, Daniel S. Sawyer
The Dimensional Metrology Group (DMG) at the National Institute of Standards and Technology (NIST) is supporting the development of documentary standards for...
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, predictive, diagnostic, and prescriptive analytics...
Leona D. Scanlan, Pawel Jaruga, Sanem Hosbas Coskun, Jamie L. Almeida, David N. Catoe, Jennifer McDaniel, Miral M. Dizdar
Little is known about endogenous DNA damage in the nematode. In this work, we standardized the growth of the nematode in two different growth media (axenic CeHR...
Vincent D. Lee, Steven D. Phillips, Craig M. Shakarji, Jeffrey Hosto, Jeffrey Huber, Gillich Barbara
Dimensional metrology is a foundational science finding applications throughout modern technology, including the testing of human-worn body armor designed to...
Enterprise networks are migrating to the public cloud to acquire computing resources for a number of promising benefits in terms of efficiency, expense, and...
Data analytics is increasingly becoming recognized as a valuable set of tools and techniques for improving performance in the manufacturing enterprise. However...
David J. Lechevalier, Ronay Ak, Steven Hudak, Yung-Tsun T. Lee, Sebti Foufou
Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to...
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
The Information Access Division (IAD) of the National Institute of Standards and Technology (NIST) launched a new Data Science Research Program (DSRP) in the...
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient...
Yunpeng Li, Utpal Roy, Seungjun Shin, Yung-Tsun Lee
Today's physical products are becoming smarter not only because of their increasingly complex functionalities, but also for their superior capabilities of...
Molecular transport through permeable membranes offers a unique opportunity to investigate cellular responses to nutrients, drugs, or toxins delivered to the...
M Malinowski, Peter A. Beling, Amy LaViers, Jeremy Marvel, Brian A. Weiss
The development of risk analysis, and prognostics and health management (PHM) have developed in a largely independent fashion. However, both fields share a...
Gerald Heddy, Umer Huzaifa, Peter A. Beling, Yacov Haimes, Jeremy Marvel, Brian A. Weiss, Amy LaViers
The vision of Smart Manufacturing Systems (SMS) includes collaborative robots that can adapt to a range of scenarios. This vision requires a classification of...
A linear axis is a vital subsystem of machine tools, which are vital systems within many manufacturing operations. When installed and operating within a...
Brian A. Weiss, Gregory W. Vogl, Moneer Helu, Guixiu Qiao, Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart...
Benjamin Y. Choo, Peter A. Beling, Amy LaViers, Jeremy Marvel, Brian A. Weiss
Adaptive multi-scale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. AM-PHM is characterized...
Adam S. Jacoff, Kamel Saidi, Robert Von Loewenfeldt, Yukio Koibuchi
The present paper discusses the NIST and DHS efforts to develop standard test methods for aquatic response robots. Different ROVs and AUVs were used to evaluate...
Critical dimension atomic force microscopes (CD-AFMs) use flared tips and two-dimensional sensing and control of the tip-sample interaction to enable scanning...
Bonnie J. Dorr, Peter C. Fontana, Craig S. Greenberg, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Martial Michel, 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...
David A. Howe, Archita Hati, Craig W. Nelson, Lora L. Nugent-Glandorf
We describe operational challenges and progress of optical frequency-comb dividers (OFDs) that synthesize RF signals from the optical domain. Our priorities...
David Lechevalier, Seungjun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou
Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive...
John E. Kitching, Elizabeth A. Donley, Svenja A. Knappe, Matthew T. Hummon, Argyrios Dellis, Jeffrey A. Sherman, Kartik A. Srinivasan, Vladimir A. Aksyuk, Qiliang Li, Daron A. Westly, Brian J. Roxworthy, Amit Lal
We describe several ways in which microfabricated alkali atom vapour cells might potentially be used to accurately realize a variety of SI units, including the...
We have developed a laser tracker probe, the Pixel Probe, that does not require physically contacting the object one is measuring and which has 3D spatial...
We study the problem of supervised classification of stem cell colonies and confidence estimation of the attained classification labels. The problem is...
I-Chun Chao, Kang B. Lee, Rick Candell, Frederick M. Proctor, Chien-Chung Shen
There has been a dramatic push to adopting wireless networking technologies and protocols (such as 802.11, ZigBee, WirelessHART, Bluetooth, ISA100.11a, etc.)...
Michael P. Majurski, Christopher Zheng, Joe Chalfoun, Alden A. Dima, Mary C. Brady
New microscope technologies are enabling the acquisition of large volumes of live cell image data. Accurate temporal object tracking is required to facilitate...
Modern-day attackers tend to use sophisticated multi-stage/multi-host attack techniques and anti-forensics tools to cover their attack traces. Due to the...
In residential upholstered furniture, the polyurethane foam (PUF) is the most flammable component. Barrier fabrics (BFs) are often used to protect PUF from heat...