Search results for "Acoustic sensor"

showing 7 items of 7 documents

Wireless Acoustic Sensor Networks and Applications

2017

Article Subjectbusiness.industryComputer scienceComputer Networks and Communicationslcsh:T010401 analytical chemistryElectrical engineeringAcoustic sensor020206 networking & telecommunications02 engineering and technologyInformation Systems; Computer Networks and Communications; Electrical and Electronic Engineering01 natural scienceslcsh:Technology0104 chemical scienceslcsh:Telecommunicationlcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringInformation systemWirelessElectrical and Electronic EngineeringbusinessInformation SystemsWireless Communications and Mobile Computing
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On the feasibility of personal audio systems over a network of distributed loudspeakers

2018

Los sistemas de reproducción de audio personal se ocupan de la creación de zonas sonoras personales dentro de una habitación sin necesidad de utilizar auriculares. Estos sistemas utilizan un conjunto de altavoces y diseñan los filtros necesarios en cada altavoz con el fin de que la señal de audio deseada llegue a cada persona en la sala lo más libre de interferencias posible. Existen propuestas muy interesantes en la literatura que hacen uso de arrays circulares o lineales, pero en este trabajo estudiamos el problema considerando una red de altavoces distribuidos controlados por un conjunto de nodos acústicos, que pueden intercambiar información a través de una red. Enunciamos el modelo de …

Audio signalbusiness.product_category:CIENCIAS TECNOLÓGICAS [UNESCO]MicrophoneComputer scienceAcoustics020206 networking & telecommunications02 engineering and technologypersonal audio systemsUNESCO::CIENCIAS TECNOLÓGICASGeneralLiterature_MISCELLANEOUSSignal-to-noise ratioSound reinforcement system0202 electrical engineering electronic engineering information engineeringElectronic engineering020201 artificial intelligence & image processingLoudspeakerDirectional soundwireless acoustic sensor networksbusinessHeadphones
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Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performance

2019

The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been developed taking into account high-throughput computing platforms equipped with expensive multichannel audio interfaces, the IoT paradigm is demanding the use of more flexible and energy-efficient systems. In this context, algorithms for source localization and ranging in wireless acoustic sensor networks can be considered an enabling technology for many IoT-based environments, including security, industrial, and health-care applications. This paper is aimed at evaluating impo…

Computer Networks and CommunicationsComputer scienceDistributed computingContext (language use)02 engineering and technologyParallel architectures0202 electrical engineering electronic engineering information engineeringParallel processingWirelessSignal processingMulti-core processorHeterogeneous (hybrid) systemsbusiness.industry020206 networking & telecommunicationsAcoustic source localizationWireless acoustic sensor networks (WASNs)Computer Science ApplicationsEnergy efficiencyHardware and ArchitectureSignal Processing020201 artificial intelligence & image processingElectrónicabusinessWireless sensor networkSource localizationInformation SystemsEfficient energy useAcoustic signal processing
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Computation of Psycho-Acoustic Annoyance Using Deep Neural Networks

2019

Psycho-acoustic parameters have been extensively used to evaluate the discomfort or pleasure produced by the sounds in our environment. In this context, wireless acoustic sensor networks (WASNs) can be an interesting solution for monitoring subjective annoyance in certain soundscapes, since they can be used to register the evolution of such parameters in time and space. Unfortunately, the calculation of the psycho-acoustic parameters involved in common annoyance models implies a significant computational cost, and makes difficult the acquisition and transmission of these parameters at the nodes. As a result, monitoring psycho-acoustic annoyance becomes an expensive and inefficient task. Thi…

Computer scienceComputationsubjective annoyanceContext (language use)Annoyance02 engineering and technologycomputer.software_genre01 natural sciencesConvolutional neural networklcsh:TechnologyReduction (complexity)lcsh:Chemistryconvolutional neural networks0202 electrical engineering electronic engineering information engineeringWirelessGeneral Materials Sciencewireless acoustic sensor networksInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrylcsh:TProcess Chemistry and Technology010401 analytical chemistryGeneral EngineeringRegression analysislcsh:QC1-9990104 chemical sciencesComputer Science Applicationspsycho-acoustic parametersTransmission (telecommunications)lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingData miningbusinesslcsh:Engineering (General). Civil engineering (General)Zwicker modelcomputerlcsh:PhysicsApplied Sciences
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Psychoacoustic Annoyance Implementation With Wireless Acoustic Sensor Networks for Monitoring in Smart Cities

2020

Soundscape standard (ISO 12913) is mainly oriented to describe the psychoacoustic annoyance (PA) due to the perceived sound in different environments. The evaluation of this annoyance is commonly based on the Zwicker and Fastl model that defines several components related to this subjective annoyance, such as loudness, sharpness, roughness, and fluctuation strength. But due to their complexity, these components are difficult to be calculated on small board computers (SBCs) in real time in order to enable a wireless acoustic sensor network for PA monitoring. In this article, we describe the necessary procedures to implement the complete psychoacoustic model by Zwicker and Fastl in a precise …

SoundscapeComputer Networks and CommunicationsComputer sciencebusiness.industry010401 analytical chemistryReal-time computingAcoustic sensorAnnoyance02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science ApplicationsLoudnessHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingPsychoacousticsbusinessInformation SystemsIEEE Internet of Things Journal
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Simultaneous ranging and self-positioning in unsynchronized wireless acoustic sensor networks

2016

Automatic ranging and self-positioning is a very desirable property in wireless acoustic sensor networks, where nodes have at least one microphone and one loudspeaker. However, due to environmental noise, interference, and multipath effects, audio-based ranging is a challenging task. This paper presents a fast ranging and positioning strategy that makes use of the correlation properties of pseudonoise sequences for estimating simultaneously relative time-of-arrivals from multiple acoustic nodes. To this end, a proper test signal design adapted to the acoustic node transducers is proposed. In addition, a novel self-interference reduction method and a peak matching algorithm are introduced, a…

Wireless acoustic sensor networksMicrophoneComputer scienceReal-time computing02 engineering and technologyInterference (wave propagation)SynchronizationlocalizationTECNOLOGIA ELECTRONICA0202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic Engineeringwireless acoustic sensor networksbusiness.industryRangingNode (networking)020208 electrical & electronic engineeringpseudo-noise seequences020206 networking & telecommunicationsRangingTransducerComputer Science::SoundEmbedded systemLocalizationSignal ProcessingLoudspeakerbusinessPseudo-noise seequencesMultipath propagation
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High sensing potentialities of tetra-tert-butyl-metallophthalocyaninesbased acoustic microsensors for xylenes measurement in air at room temperature

2022

International audience; Xylenes, classified as Volatil Organic Compounds, is a very harmful pollutant for human health that can be absorbed into the body via all exposures routes: inhalation, ingestion, or dermal. As defined by the US Environmental Protection Agency, the occupational exposure limi-tes are set to 100 ppm while the guidelines in non-occupational context are fixed to 50 ppm. For the concentration measurements in the at-mosphere, authorities commonly used sampling methods with post-exposure chemical titration or chromatography. A strong interest remains on the development of low cost, low power consumption and easy implemented microsensors able to deliver real-time indicative m…

[SPI]Engineering Sciences [physics]Quartz Crystal Microbal- anceOr- ganic semi-conductorSubstituted phthalocyaninesacoustic sensors[SPI] Engineering Sciences [physics]Xylenesgas microsensorsVolatiles Or- ganic Compoundspollutant monitoring.
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