We study the dependence on fiber birefringence of the bit-error rate (BER) caused by amplifier noise in a linear optical fiber telecommunication system. We show that the probability-distribution function of the BER obtained by averaging over many realizations of birefringent disorder has an extended tail that corresponds to anomalously large values of BER. We specifically discuss the dependence of the tail on such details of pulse detection at the fiber output as setting the clock and filtering procedures.
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http://dx.doi.org/10.1364/ol.28.002159 | DOI Listing |
PLoS One
October 2024
College of Engineering, Basic and Applied Science, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.
Egypt faces extreme traffic congestion in its cities, which results in long travel times, large lines of parked cars, and increased safety hazards. Our study suggests a multi-modal approach that combines critical infrastructure improvements with cutting-edge technologies to address the ubiquitous problem of traffic congestion. Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals.
View Article and Find Full Text PDFExposome
October 2024
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
The exposome concept aims to account for the comprehensive and cumulative effects of physical, chemical, biological, and psychosocial influences on biological systems. To date, limited exposome research has explicitly included climate change-related exposures. We define these exposures as those that will intensify with climate change, including direct effects like extreme heat, tropical cyclones, wildfires, downstream effects like air pollution, power outages, and limited or contaminated food and water supplies.
View Article and Find Full Text PDFInt J Disaster Risk Reduct
September 2023
Appalachian Energy Center, Appalachian State University, Boone, NC, USA.
Extreme weather events endanger critical health infrastructure, and many individuals rely on infrastructure to meet their basic needs, such as heat, water, and medical devices. The purpose of this study is to identify spatially explicit at-risk populations for power outages due to these extreme weather events. To accomplish this, we used the HHS emPOWER Emergency Planning Dataset, which was created to help public health authorities plan for and address the needs of communities.
View Article and Find Full Text PDFJ Urban Health
October 2024
Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Reliable electricity, elevators, heat, hot water, and water are aspects of safe and accessible housing. Interruptions to these services represent a persistent challenge faced by public housing residents in the New York City Housing Authority (NYCHA). We compiled outage data spanning 2020-2022 from NYCHA's online service interruptions portal and paired these data with demographic and meteorological sources to understand the burden of these outages.
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