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Somayeh Mosleh, Yao Ma, Jake D. Rezac, Jason B. Coder
Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the
Anne Francoise H. Obaton, Bryan Butsch, Stephen McDonough, Nans Laroche, Yves Gaillard, Jared B. Tarr, Patrick Bouvet, Rodolfo Cruz, Alkan Donmez
Additive manufacturing enables the production of customized and complex parts. These two aspects are very attractive for aerospace and medical sectors. However
In this paper, we describe the development, and application, of a suite of high-frequency electromagnetic wave (RF) based techniques to probe material and
The Fire Research Division at the National Institute of Standards and Technology is investigating the ability to forecast backdraft or smoke explosions during a
Peter G. Vouras, Jeanne T. Quimby, Benjamin F. Jamroz, Alec J. Weiss, Rodney W. Leonhardt, Dylan F. Williams, Catherine A. Remley
This paper derives two novel frequency invariant beamformers (FIBs) for use with wideband synthetic aperture channel sounders. Results using measured data show
Future unlicensed spectrum sharing scenarios involve multi-cell, multi-tier access of incumbent and emerging wireless systems, such as wireless local area
Vladimir Marbukh, Kamran Sayrafian, Behnam Rouzbehani
A virtualization platform is responsible for allocation and aggregation of radio resources from different access technologies as well as the distribution of the
Somayeh Mosleh, Yao Ma, Jake D. Rezac, Jason B. Coder
Dynamic spectrum access (DSA) to achieve spectrum sharing in unlicensed bands is a promising approach for meeting the growing demands of forthcoming and
Kunal Kupwade-Patil, Ali Bumajdad, Terrence J. Udovic, Kenneth Littrell, Oral Buyukozturk
This work investigates the effect of early-age hydration on microstructural evolution of cement paste with local volcanic ash using neutron-based beamline
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas A. Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE)
Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer, Douglas Reynolds, Lisa Mason, Jaime Hernandez-Cordero
In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted a leaderboard style speaker recognition challenge using conversational
Kayla Ibrahim, Suryadipta Majumdar, Daniel Bastos, Anoop Singhal
Internet of Things (IoT) is being widely adopted in recent years. Security, however, has lagged behind, as evidenced by the increasing number of attacks that
Ryan Falkenstein-Smith, Kunhyuk Sung, Jian Chen, Anthony Hamins
This work documents a series of time-averaged local gas species measurements made throughout the centerline profile of 30 cm methanol, ethanol, and acetone pool
Kassiopeia A. Smith, Bryan T. Bosworth, Nicholas R. Jungwirth, Jerome G. Cheron, Nathan D. Orloff, Christian J. Long, Dylan F. Williams, Richard A. Chamberlin, Franklyn J. Quinlan, Tara M. Fortier, Ari D. Feldman
A combination of on-wafer metrology and high-frequency network analysis was implemented to measure the response of transmission-line integrated Er-GaAs and
Rob Horansky, Diogo Ribeiro, Jeffrey Jargon, Kate Remley
In the 5G, millimeter-wave frequency region, over-the-air testing is integral to verifying communications systems. Calibration of these vector systems will
Kunhyuk Sung, Jian Chen, Matthew Bundy, Anthony Hamins
A series of measurements was made to characterize the structure of a 1 m diameter methyl 12 alcohol (methanol; CH3OH) pool fire steadily burning with a constant
Teodor I. Vernica, Aaron M. Hanke, William Z. Bernstein
Due to its tremendous potential, Augmented Reality (AR) has experienced a recent surge in adoption and integration within the manufacturing enterprise. While
Matthew D. Brubaker, Bryan T. Spann, Kristen L. Genter, Alexana Roshko, Paul T. Blanchard, Todd E. Harvey, Kristine A. Bertness
Nanowire-based ultraviolet (UV) LEDs hold great promise as nanoscale light sources, potentially enabling advanced scanning microscopy probes capable of
As Smart Manufacturing becomes more prevalent throughout industry, manufacturers are continuing to look for ways to more efficiently apply advanced data
Michael P. Brundage, Senthil K. Chandrasegaran, Xiaoyu Zhang, Kwan-Liu Ma
Maintenance and error logs for machines in manufacturing organizations are typically written as informal notes by operators or technicians working on the
Wai Cheong Tam, Eugene Yujun Fu, Amy E. Mensch, Anthony P. Hamins, Christina Yu, Grace Ngai, Hong va Leong
This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of unattended
Identifying heavy flows, i.e., flows with high packet rate (or count), is vital for many network applications such as anomaly detection, network operation
Dustin Moody, Ray A. Perlner, Daniel C. Smith-Tone, Daniel C. Apon, Javier Verbel
In 2013, Tao et al. introduced the ABC Simple Matrix Scheme for Encryption, a multivariate public key encryption scheme. The scheme boasts great efficiency in
Jairo Giraldo, CheeYee Tang, David Urbina, Alvaro A. Cardenas
Industrial Control Systems (ICS) collect information from a variety of sensors throughout the process, and then use that information to control some physical