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NIST Pubs

Neural Networks for Classifying Probability Distributions

Author(s)
Siham Khoussi, N. Alan Heckert, Abdella Battou, Saddek Bensalem
Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However

UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks

Author(s)
Alexandre C. Moreaux, Samantha Gamboa Quintiliani, David W. Griffith, Richard A. Rouil
In this paper, we expand previous analytical models to offer a more complete representation of Model B ProSe direct discovery. Using these models, we can obtain

Characterizing LTE User Equipment Emissions Under Closed-Loop Power Control

Author(s)
Jason Coder, Aric Sanders, Michael R. Frey, Adam Wunderlich, Azizollah Kord, Jolene Splett, Lucas N. Koepke, Daniel Kuester, Duncan McGillivray, John M. Ladbury
This report presents a laboratory-based characterization of Long Term Evolution (LTE) User Equipment (UE) emissions under closed-loop power control, building on

Securing Property Management Systems

Author(s)
Bill Newhouse
Hotels have become targets for malicious actors wishing to exfiltrate sensitive data, deliver malware, or profit from undetected fraud. Property management

Survey on Gender, Equity and Inclusion

Author(s)
Mary Frances Theofanos, Jasmine Evans, Justyna Zwolak, Sandra Spickard Prettyman
In the fall of 2019, the National Institute of Standards and Technology (NIST) funded threes studies to better understand equity and inclusivity. The present st

Encounter Metrics and Exposure Notification

Author(s)
Rene Peralta, Angela Robinson
We discuss the measurement of aggregate levels of encounters in a population, a concept we call encounter metrics. Encounter metrics are designed so that they