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Anirudha Sahoo, Tanguy Ropitault, Steve Blandino, Nada Golmie
Wi-Fi sensing has been used to detect and track movements in an environment, resulting in the emergence of several innovative applications. Wi-Fi sensing can
Ulf Griesmann, Keiko Munechika, Simon Rochester, Weilun Chao, Carlos Pina-Hernandez, Kaito Yamada, Michael Biskach, Peter Takacs, Valeriy Yashchuk
Binary pseudo-random array (BPRA) "white noise" artifacts are highly effective for characterizing the instrument transfer function (ITF) of surface topography
Uncrewed Systems are becoming both increasingly connected and increasingly automated. With these increases come significant changes in the Cybersecurity and AI
The thermodynamic superheat limits of five solvents commonly used in Li-ion batteries are calculated using the Peng-Robinson equation of state. The superheat
Reliable voice and data communications are critical in supporting public safety responders during incidents and disasters and will become more important as
With the globalization of hardware manufacturing and the growing demand for electronics, companies now heavily rely on offshore facilities for most of the
Machine learning (ML)-based Artificial Intelligence (AI) systems rely on training data to perform optimally, but the internal workings of how ML models learn
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
As a foundation of digital transformation, digital twins are critical for achieving smart manufacturing. Recent technology advancements, such as smart sensors
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
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
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
Alain Rufenacht, Raegan Johnson, Anna Fox, Nathan Flowers-Jacobs, Charlie Burroughs, Samuel Benz, Paul Dresselhaus, STEPHANE SOLVE, Jesus Mejia
This paper describes differential sampling measurements of an ac source and a Josephson arbitrary waveform synthesizer (JAWS). A new iterative approach for
Jesus Mejia, Alain Rufenacht, Raegan Johnson, Anna Fox, Nathan Flowers-Jacobs, Samuel Benz, Paul Dresselhaus
This article examines the non-linearity and gain error of a commercial digitizer on the 100 mV range with a Josephson Arbitrary Waveform Synthesizer (JAWS) as a