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Uncrewed Systems are becoming both increasingly connected and increasingly automated. With these increases come significant changes in the Cybersecurity and AI...
A new nuisance test was introduced to the ANSI/UL 217 Standard for Safety Smoke Alarms with a broiling hamburgers cooking scenario. This study examines alarms...
Machine learning (ML)-based Artificial Intelligence (AI) systems rely on training data to perform optimally, but the internal workings of how ML models learn...
With the globalization of hardware manufacturing and the growing demand for electronics, companies now heavily rely on offshore facilities for most of the...
New smoke alarms that have passed the new broiling hamburger nuisance test introduced in ANSI/UL 217 Standard for Safety Smoke Alarms 8th Edition have reached...
As a foundation of digital transformation, digital twins are critical for achieving smart manufacturing. Recent technology advancements, such as smart sensors...
Dean G. Jarrett, Albert Rigosi, Dominick Scaletta, Ngoc Thanh Mai Tran, Heather Hill, Alireza Panna, Cheng Hsueh Yang, Yanfei Yang, Randolph Elmquist, David B. Newell
Krishna Khadka, Sunny Shree, Yu Lei, Raghu Kacker, David Kuhn
Machine Learning (ML) models rely on capturing important feature interactions to generate predictions. This study is focused on validating the hypothesis that...
Dimitris Simos, Bernhard Garn, Dominik-Philip Schreiber, Manuel Leithner, David Kuhn, Raghu Kacker
In this paper, we present an application of combinatorial security testing to the well-known anonymity network Tor. Rigorous testing of the Tor network is...
Metal additive manufacturing processes are influenced by many variables that affect the produced material to varying degrees. This wide range of variables and...
David Deisenroth, Sergey Mekhontsev, Jordan Weaver, Samantha Webster
The laser power density distribution (PDD) applied to a material is a predominant process parameter that directly affects the properties of parts that are built...
While the concept of digital twins has a history of at least twenty years in length, the design of interfaces for digital twins is less well studied. Extended...
Repeat clickers refer to individuals who repeatedly fall prey to phishing at-tempts, posing a disproportionately higher risk to the organizations they inhabit...
As part of the ACI 374A Subcommittee on Design of Reinforced Concrete Structure for Functional Recovery, the authors held six expert panel discussions with...
Dazhen Gu, Jonah Smith, Adam Whitney, Omar Khatib, Natalie Rozman, Amanda Gregg, Willie Padilla, William Deal, Steven Reising
This paper describes a characterization method for measuring the reflectivity of blackbodies used as calibration devices in spaceborne instruments. The...
Zenn Roberts, Aaron Hagerstrom, Cole Gray, Angela Stelson, Vincent Neylon, Christian Long
The National Institute of Standards and Technology (NIST) maintains the United State's primary standards for traceable RF and mm-wave power measurements. These...
Cole Gray, Aaron Hagerstrom, Zenn Roberts, Christian Long
Abstract—As a National Metrology Institute (NMI), the National Institute of Standards and Technology (NIST) maintains traceable measurement capabilities for a...
Yan Lu, Zhuo Yang, Shengyen Li, Yaoyao Fiona Zhao, Jiarui Xie, Mutahar Safdar, Hyunwoong Ko
The key differentiation of digital twins from existing models-based engineering approaches lies in the continuous synchronization between physical and virtual...
Isaac Leventon, Michael Heck, Kevin B. McGrattan, Matthew Bundy, Rick D. Davis
This paper provides an overview of selected measurements from a series of 90 full-scale fire experiments quantifying the impact of material composition on full...
A multi-input and multi-output (MIMO) machine learning model is developed to simultaneously detect firefighter's thermal risks across a commercial building...
We present progress in the development of a dynamic force reference instrument (KDFR) based on the Kibble principle. We describe the operating principle and...
Jason Underwood, Linsey Rodenbach, Ngoc Thanh Mai Tran, Alireza Panna, Zachary Barcikowski, Molly Andersen, Peng Zhang, Lixuan Tai, Randolph Elmquist, Dean Jarrett, David Goldhaber-Gordon, David Newell, Albert Rigosi
By directly integrating a quantum anomalous Hall resistor (QAHR) and a programmable Josephson voltage standard (PJVS) into a single cryostat, we have...
Stephane Solve, Mun-Seog Kim, Ralf Behr, Luis Palafox, Ilya Budovsky, Alain Rufenacht
BIPM performed two pilot studies in 2023 to support the uncertainty budget for the programmable Josephson voltage standard (PJVS). The studies involved...
Yanfei Yang, Dean G. Jarrett, Alireza Panna, Albert Rigosi, David B. Newell, Randolph Elmquist, Cheng Hsueh Yang, Ngoc Thanh Mai Tran
Theoretically wye-delta transformation can be used to realize ultra-high resistances up to PΩ. For graphene-based quantum Hall array resistance standards...
Qi Tong, Hongqiang FANG, Eugene Yujun Fu, Wai Cheong Tam, Thomas Gernay
The proposed research aims to leverage machine learning to detect thermal operating classes and improve the tenability of firefighters in a commercial building...
Alain Rufenacht, Anna Fox, Paul Dresselhaus, Samuel Benz
This paper presents a new 2 V programmable Josephson voltage standard circuit with dual microwave frequency input. This design provides three main features: (1)...
Ghislain Granger, Waldemar G. Kuerten Ihlenfeld, Alain Rufenacht, Nathan Flowers-Jacobs, Anna Fox, Raegan Johnson, Jesus Mejia
The stability of an ac voltage source fabricated at the National Research Council Canada (NRC) is investigated. NRC uses differential sampling to monitor the...