Results 31 to 40 of about 39,175 (304)

Agricultural Landscape Composition Linked with Acoustic Measures of Avian Diversity

open access: yesLand, 2020
Measuring, monitoring, and managing biodiversity across agricultural regions depends on methods that can combine high-resolution mapping of landscape patterns with local biodiversity observations. This study explores the potential to monitor biodiversity
Adam P. Dixon   +2 more
doaj   +1 more source

Visualization of Acoustic Comfort in an Open-Plan, High-Performance Glass Building

open access: yesBuildings, 2022
The aesthetic and functional appeal of high-performance, open-plan office buildings presents special challenges. Extensive use of glass at the building’s perimeter to improve visual comfort and office communication can negatively impact acoustic comfort ...
Aldo A. Glean   +2 more
doaj   +1 more source

Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2015
This paper presents an acoustic-to-articulatory (AtoA) mapping method for tracking the movement of the critical articulators on fricative utterances. The proposed approach applies a vocal tract length normalization process.
Alexander Sepúlveda-Sepúlveda   +2 more
doaj   +1 more source

Diffraction Effects and Compensation in Passive Acoustic Mapping [PDF]

open access: yesIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2018
Over the last decade, a variety of noninvasive techniques have been developed to monitor therapeutic ultrasound procedures in support of safety or efficacy assessments. One class of methods employs diagnostic ultrasound arrays to sense acoustic emissions, thereby providing a means to passively detect, localize, and quantify the strength of nonlinear ...
Michael D. Gray   +2 more
openaire   +3 more sources

A Feasibility Study With In-the-Wild Data in Human Interaction Settings: Acoustic-Visual Fusion for Predictive Sound Source Positioning

open access: yesIEEE Access
Acoustic data inherently contains spatial information regarding sounds. Most robotic systems rely primarily on speech recognition results for control; however, the utilization of rich directional cues could enhance their functionality.
Zhichao Chen   +5 more
doaj   +1 more source

Acoustic mapping and classification of benthic habitat using unsupervised learning in artificial reef water [PDF]

open access: yes, 2017
Artificial reefs (ARs) are effective means to maintain fishery resources and to restore ecological environment in coastal waters. ARs have been, widely constructed along the Chinese coast. However, understanding of benthic habitats in the vicinity of ARs
Tang, Cheng   +4 more
core   +1 more source

Multispectral Multibeam Echo Sounder Backscatter as a Tool for Improved Seafloor Characterization

open access: yesGeosciences, 2019
The establishment of multibeam echosounders (MBES), as a mainstream tool in ocean mapping, has facilitated integrative approaches towards nautical charting, benthic habitat mapping, and seafloor geotechnical surveys. The combined acoustic response of the
Craig J. Brown   +3 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

Assessing the use of harmonized multisource backscatter data for thematic benthic habitat mapping

open access: yesScience of Remote Sensing, 2021
Legacy seabed mapping datasets are increasingly common as the need for detailed seabed information is recognized. Acoustic backscatter data from multibeam echosounders can be a useful surrogate for seabed properties and are commonly used for benthic ...
Benjamin Misiuk   +2 more
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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