Results 141 to 150 of about 1,715,477 (307)

A simple model for DSS-14 outage times [PDF]

open access: yes
A model is proposed to describe DSS-14 outage times. Discrepancy Reporting System outage data for the period from January 1986 through September 1988 are used to estimate the parameters of the model.
Posner, E. C.   +2 more
core   +1 more source

On the Probability, Rate, and Duration of Phase Outages in Nakagami Fading Channels [PDF]

open access: bronze, 2009
José Cândido Silveira Santos Filho   +1 more
openalex   +1 more source

Best Before? Expiring Central Bank Digital Currency and Loss Recovery

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Physical cash enables payments in the absence of electricity or network coverage. Such offline payment functionality promotes the operational resilience and, particularly in developing countries, the accessibility of payments. Central banks are exploring issuing digital cash substitutes with similar offline payment functionality.
CHARLES M. KAHN   +2 more
wiley   +1 more source

Resilience assessment of urban rail transit stations considering disturbance and time‐varying passenger flow

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Unlike most urban rail transit (URT) resilience studies on URT lines or networks under major disturbances, this paper focuses on the resilience assessment of URT stations under high‐frequency daily disturbances with minor impacts. A resilience assessment metric with different resilience levels is proposed, which is calculated based on multiple
Xiaowei Liu   +5 more
wiley   +1 more source

Traffic estimation in work zones using a custom regression model and data augmentation

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Accurately estimating traffic volumes in construction work zones is crucial for effective traffic management. However, one of the key challenges transportation agencies face is the limited coverage of continuous count station (CCS) sensors, which are often sparsely located and may not be positioned directly on roads where construction work ...
Ali Hassandokht Mashhadi   +3 more
wiley   +1 more source

Transmission Line Outage Probability Prediction Under Extreme Events Using Peter-Clark Bayesian Structural Learning [PDF]

open access: yesarXiv
Recent years have seen a notable increase in the frequency and intensity of extreme weather events. With a rising number of power outages caused by these events, accurate prediction of power line outages is essential for safe and reliable operation of power grids.
arxiv  

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