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Rosa Ma Alsina-Pagès   Dr.  Institute, Department or Faculty Head 
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Rosa Ma Alsina-Pagès published an article in March 2019.
Top co-authors
Marc Arnela

18 shared publications

GTM Grup de recerca en Tecnologies Mèdia, La Salle; Universitat Ramon Llull; Barcelona Spain

Joan Navarro

12 shared publications

GRITS—Grup de Recerca en Internet Techologies and Storage, c/Quatre Camins, 30, 08022 Barcelona, Spain

Oriol Guasch

4 shared publications

GTM-Grup de recerca en Tecnologies Mèdia; La Salle-Universitat Ramon Llull; Barcelona Spain

Joan Camps

1 shared publications

39
Publications
148
Reads
22
Downloads
38
Citations
Publication Record
Distribution of Articles published per year 
(2005 - 2019)
Total number of journals
published in
 
17
 
Publications See all
CORRECTION 0 Reads 0 Citations Correction: Alsina-Pagès et al. Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes... Rosa Ma Alsina-Pagès, Robert Garcia Almazán, Marc Vilella, M... Published: 18 March 2019
Environments, doi: 10.3390/environments6030037
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The authors would like to correct the published article
Article 0 Reads 1 Citation Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes-Engordany Rosa Ma Alsina-Pagès, Robert Garcia Almazán, Marc Vilella, M... Published: 22 February 2019
Environments, doi: 10.3390/environments6020024
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Noise pollution is a critical factor and it has an important impact on public health, with the relationship between road traffic noise (RTN) and several illnesses in urban areas of particular concern. Andorra is currently developing a national strategy regarding noise pollution in their urban environments. The Ministry of Environment, Agriculture and Sustainability is trying to to identify, monitor, map and model the effects of noise pollution and design mitigation policies to reduce the impact in certain priority areas. This analysis should take into account the existence of different types of anomalous noise events (ANEs) present in the street, e.g., horns, people talking, music, and other events that coexist with RTN, to characterize the soundscape of each of the locations. This paper presents a preliminary analysis considering both the Signal-to-Noise Ratio (SNR) and the duration of the ANEs to evaluate their presence in urban areas in the three different locations in Andorra la Vella and Escaldes-Engordany. The experiments conducted required a 10-h recording campaign distributed in the three locations under study, which was evaluated on two different days, one during the week and the other on the weekend. Afterwards, the data were carefully labeled and the SNR of each event was evaluated to determine the potential impact of the four categories under study: vehicles, works, city life and people.
Article 0 Reads 0 Citations Construction of an Omnidirectional Parametric Loudspeaker Consisting in a Spherical Distribution of Ultrasound Transduce... Marc Arnela, Oriol Guasch, Patricia Sánchez-Martín, Joan Cam... Published: 07 December 2018
Sensors, doi: 10.3390/s18124317
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Omnidirectional sound sources are needed to perform a large variety of tests in acoustics. Typically, they consist of conventional speaker drivers arranged in a dodecahedron. However, the directivity of the speaker drivers sharpens with frequency, which induces an intense decrease of the sound pressure levels at the edges of the dodechaedron. In this work, the problem is mitigated by building an Omnidirectional Parametric Loudspeaker (OPL), which contains hundreds of small ultrasound transducers set on a sphere. Each transducer emits an ultrasonic carrier wave modulated by an audible signal. Thanks to nonlinear propagation, the air itself demodulates the signal bringing it back to the audible range. The construction of an OPL prototype is challenging. The structure has been built by 3D-printing a set of pieces that conform to the sphere. Each piece contains the exact location of the transducers, which are aligned in parallels to facilitate the structural assembly and the wiring. The performance of the OPL has been tested in an anechoic chamber. Measurements show that the OPL has a good omnidirectional behavior for most frequencies. It clearly improves the directivity of dodechaedral sources in the high frequency range, but performs worse at low frequencies.
CONFERENCE-ARTICLE 58 Reads 0 Citations <strong>The citizen as a key point of the policies: a first approach to auralization for the acoustic perception of nois... Rosa Ma Alsina-Pages, Pau Bergadà Published: 14 November 2018
Proceedings, doi: 10.3390/ecsa-5-05720
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The improvement of the quality of life in the framework of the smartcity paradigm cannot be limited to a set of objective measures carried out over several critical parameters (e.g. noise, air pollution). The citizen's perception of the problem to be solved, as well as the perception of the improvement achieved with the policies defined for this purpose, is more important than the objectivity and the measurement of the change achieved. A first auralization approach for the evaluation of the acoustic perception of street noise is presented in this work. The wireless acoustic sensor network can pick up street noise, and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether the neighbour has noticed an improvement in the quality of life. This work is a first approximation to an estimation of the real perception of citizens of the street urban noises collected by a low-cost wireless acoustic sensor network.

CONFERENCE-ARTICLE 87 Reads 0 Citations <strong>Noise Annoyance in Urban Life: the Citizen as a Key Point of the Directives</strong> Alexandra Labairu, Rosa Ma Alsina-Pages, Ferran Orga, Maria ... Published: 14 November 2018
Proceedings, doi: 10.3390/IECEHS-1-05648
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The improvement of the quality of life in the framework of the smart-city paradigm cannot be limited to measuring objective environmental factors but should also consider the assessment of the citizens’ health. Road traffic noise has been widely studied in terms of citizens’ annoyance and its impact on health, but other types of urban noise are usually out of those analysis. Each node of a wireless acoustic sensor network can pick up street noise, and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether certain types of noise annoy the citizen. In this work, we present the analysis and the selection of several audio samples collected by a wireless acoustic sensor network in an urban environment in order to conduct perceptive tests by several users. This a first approximation to the evaluation of the real perception of citizens’ annoyance of the urban noise collected by a low-cost wireless acoustic sensor network.

Article 1 Read 1 Citation Real-Time Distributed Architecture for Remote Acoustic Elderly Monitoring in Residential-Scale Ambient Assisted Living S... Joan Navarro, Ester Vidaña-Vila, Rosa Ma Alsina-Pagès, Marco... Published: 01 August 2018
Sensors, doi: 10.3390/s18082492
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Ambient Assisted Living (AAL) has become a powerful alternative to improving the life quality of elderly and partially dependent people in their own living environments. In this regard, tele-care and remote surveillance AAL applications have emerged as a hot research topic in this domain. These services aim to infer the patients’ status by means of centralized architectures that collect data from a set of sensors deployed in their living environment. However, when the size of the scenario and number of patients to be monitored increase (e.g., residential areas, retirement homes), these systems typically struggle at processing all associated data and providing a reasonable output in real time. The purpose of this paper is to present a fog-inspired distributed architecture to collect, analyze and identify up to nine acoustic events that represent abnormal behavior or dangerous health conditions in large-scale scenarios. Specifically, the proposed platform collects data from a set of wireless acoustic sensors and runs an automatic two-stage audio event classification process to decide whether or not to trigger an alarm. Conducted experiments over a labeled dataset of 7116 s based on the priorities of the Fundació Ave Maria health experts have obtained an overall accuracy of 94.6%.
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