Results 11 to 20 of about 8,343 (215)
Applied Acoustics, 2023 The management of anomalous noise events in the assessment of environmental noise of specific sources is an important issue for determining the actual exposure of the population to noise pollution. Of all the sources currently considered in the European Noise Directive, road traffic is the most important in cities, both in terms of its temporal and ...
Juan Miguel Barrigón Morillas +2 more
exaly +2 more sources
Methods for Noise Event Detection and Assessment of the Sonic Environment by the Harmonica Index
Applied 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]
The 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 +2 more sources
Effects of COVID-19 outbreak on the sound environment of the city of Milan, Italy
Noise 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
An algorithm to detect non-background signals in greenhouse gas time series from European tall tower and mountain stations [PDF]
Atmospheric 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
A novel machine learning approach to analyzing geospatial vessel patterns using AIS data
GIScience & 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
Proceedings, 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
Extraction of black hole coalescence waveforms from noisy data
Physics Letters B, 2018 We describe an independent analysis of LIGO data for black hole coalescence events. Gravitational wave strain waveforms are extracted directly from the data using a filtering method that exploits the observed or expected time-dependent frequency content.
Martin A. Green, J.W. Moffat
doaj +1 more source
Analysis of Network Security Data Using Wavelet Transforms
Journal of Algorithms & Computational Technology, 2014 Data Analysis of Network Security is very important in intrusion detection and computer forensics. A lot of data mining methods to research it have been found, such as content-based queries and similarity searches to manage and use such data.
Sun Donghong +4 more
doaj +1 more source
Global Nuclear Explosion Discrimination Using a Convolutional Neural Network
Geophysical 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