Results 11 to 20 of about 91,231 (150)

Detection of Anomalous Noise Events for Real-Time Road-Traffic Noise Mapping: The Dynamap’s project case study

open access: yesNoise Mapping, 2018
Environmental noise is increasing year after year, especially in urban and suburban areas. Besides annoyance, environmental noise also causes harmful health effects on people.
Alías Francesc   +3 more
doaj   +3 more sources

Methods for Noise Event Detection and Assessment of the Sonic Environment by the Harmonica Index

open access: yesApplied Sciences, 2021
Noise annoyance depends not only on sound energy, but also on other features, such as those in its spectrum (e.g., low frequency and/or tonal components), and, over time, amplitude fluctuations, such as those observed in road, rail, or aircraft noise ...
Rosa Ma Alsina-Pagès   +3 more
doaj   +1 more source

Detecting Anomalous Noise Events on Low-Capacity Acoustic Sensor in Dynamic Road Traffic Noise Mapping [PDF]

open access: yesThe 4th International Electronic Conference on Sensors and Applications, 2018
One of the main aspects affecting the life of people living in urban and suburban areas is their continued exposure to high road traffic noise (RTN) levels, traditionally measured by specialists working on the field. Nowadays, the deployment of Wireless Acoustic Sensor Networks (WASN) has allowed to automate noise mapping in Smart Cities.
Rosa Alsina-Pagès   +2 more
openaire   +3 more sources

An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations [PDF]

open access: yesAtmospheric Measurement Techniques, 2021
We present a statistical framework to identify regional signals in station-based CO2 time series with minimal local influence. A curve-fitting function is first applied to the detrended time series to derive a harmonic describing the annual CO2 cycle. We
A. Resovsky   +13 more
doaj   +1 more source

Effects of COVID-19 outbreak on the sound environment of the city of Milan, Italy

open access: yesNoise Mapping, 2021
In this paper, we present the results of the noise monitoring in the urban area of Milan, Italy, associated with COVID-19 outbreak. In order to limit the diffusion of the pandemic, Italy adopted growing levels of restrictive measures, which ended with a ...
Zambon Giovanni   +3 more
doaj   +1 more source

A novel machine learning approach to analyzing geospatial vessel patterns using AIS data

open access: yesGIScience & Remote Sensing, 2022
In the maritime environment, the Automatic Identification System (AIS) contains information related to vessel trajectories that can be used to detect unusual maritime occurrences and maritime traffic patterns.
Martha Dais Ferreira   +2 more
doaj   +1 more source

Characterization of a WASN-Based Urban Acoustic Dataset for the Dynamic Mapping of Road Traffic Noise

open access: yesProceedings, 2020
Road Traffic Noise (RTN) is one of the main pollutants in urban and suburban areas, negatively affecting the quality of life of their inhabitants. In the context of the European LIFE DYNAMAP project, two Wireless Acoustic Sensor Networks (WASN) have been
Francesc Alías   +3 more
doaj   +1 more source

Fractional Fokker-Planck dynamics: Numerical algorithm and simulations [PDF]

open access: yes, 2006
Anomalous transport in a tilted periodic potential is investigated numerically within the framework of the fractional Fokker-Planck dynamics via the underlying CTRW.
E. Heinsalu   +14 more
core   +2 more sources

Global Nuclear Explosion Discrimination Using a Convolutional Neural Network

open access: yesGeophysical Research Letters, 2023
Using P‐wave seismograms, we trained a seismic source classifier using a Convolutional Neural Network. We trained for three classes: earthquake P‐wave, underground nuclear explosion (UNE) P‐wave, and noise.
Louisa Barama   +3 more
doaj   +1 more source

Coherent Resonat millenial-scale climate transitions triggered by massive meltwater pulses [PDF]

open access: yes, 2003
The role of mean and stochastic freshwater forcing on the generation of millennial-scale climate variability in the North Atlantic is studied using a low-order coupled atmosphere–ocean–sea ice model.
Gildor, M.   +3 more
core   +1 more source

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