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Conferences

Performance evaluation of a laser tracker hand held touch probe

Author(s)
Bala Muralikrishnan, Christopher J. Blackburn, Prem K. Rachakonda, Daniel S. Sawyer
Hand-held touch probes and laser scanners are increasing the scope and applicability of laser trackers. While methods to evaluate the performance of laser...

Photomask Linewidth Comparison by PTB and NIST

Author(s)
Detleff Bergmann, Bernd Bodermann, Harald Bosse, Egbert Buhr, Gaoliang Dai, Ronald G. Dixson, W H?er-Grohne
We report the initial results of a recent bilateral comparison of linewidth or critical dimension (CD) calibrations on photo-mask line features between two...

A Neural Network Meta-Model and its Application for Manufacturing

Author(s)
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...

Automated uncertainty quantification analysis using system model and data

Author(s)
Saideep Nannapaneni, Sankaran Mahadevan, David Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient...

A "Smart Component" Data Model in PLM

Author(s)
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...

Adaptive Multi-scale PHM for Robotic Assembly Processes

Author(s)
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...

The NIST IAD Data Science Research Program

Author(s)
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...
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