Results 31 to 40 of about 476,526 (274)

Active vibration control for underwater signature reduction of a navy ship [PDF]

open access: yes, 2010
Dutch navy ships are designed and built to have a low underwater signature. For low frequencies however, tonal vibrations of a gearbox can occur, which might lead to increased acoustic signatures. These vibrations are hard to reduce by passive means.
Basten, Tom   +2 more
core   +8 more sources

The Potential for Glass Wool Waste as a Filler in UF Adhesive to Promote Particleboard Strength

open access: yesRecycling
Wastes, biomasses, and nanoparticles have motivated reformulations of adhesives in the wood-based-panel industry. This study investigated the incorporation of glass wool (GW) waste as a filler material in urea–formaldehyde (UF) adhesive, evaluating its ...
Michelângelo Vargas Fassarella   +7 more
doaj   +1 more source

On the Use of Perforated Sound Absorption Systems for Variable Acoustics Room Design

open access: yesBuildings, 2021
An important challenge for acoustic engineers in room acoustics design is related to the acoustic performance of multi-purpose auditoriums, which are typically designed to suit several performance requirements.
Andreia Pereira   +7 more
doaj   +1 more source

Measurement of acoustic properties of South Pole ice for neutrino astronomy

open access: yes, 2008
South Pole ice is predicted to be the best medium for acoustic neutrino detection. Moreover, ice is the only medium in which all three dense-medium detection methods (optical, radio, and acoustic) can be used to monitor the same interaction volume ...
Ackermann   +9 more
core   +1 more source

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging [PDF]

open access: yes, 2016
Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio tagging in two parts, respectively, acoustic modeling and feature learning.
Foster, Peter   +6 more
core   +3 more sources

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

Simulation of Acoustic Properties and Parameter Optimization of Glass Fiber-polyurethane foam Multilayer Composites based on Transfer Matrix Method

open access: yesMedžiagotyra
In this study, a simulation model of the acoustic properties of multilayer composites based on the transfer matrix theory was established to meet the requirements of the performance of multilayer composites, and the influence of material parameters on ...
Jintao SU, Jiaming LOU
doaj   +1 more source

High-Sensitivity Optical-Resolution Photoacoustic Microscopy with an Optical-Acoustic Combiner Based on an Off-Axis Parabolic Acoustic Mirror

open access: yesPhotonics, 2021
Optical-resolution photoacoustic microscopy (OR-PAM) is a promising noninvasive biomedical imaging technology with label-free optical absorption contrasts. Performance of OR-PAM is usually closely related to the optical-acoustic combiner.
Xiang Zhang   +7 more
doaj   +1 more source

Parallel Reference Speaker Weighting for Kinematic-Independent Acoustic-to-Articulatory Inversion [PDF]

open access: yes, 2016
Acoustic-to-articulatory inversion, the estimation of articulatory kinematics from an acoustic waveform, is a challenging but important problem. Accurate estimation of articulatory movements has the potential for significant impact on our understanding ...
Berry, Jeffrey J.   +2 more
core   +1 more source

An Empirical Evaluation of Zero Resource Acoustic Unit Discovery

open access: yes, 2017
Acoustic unit discovery (AUD) is a process of automatically identifying a categorical acoustic unit inventory from speech and producing corresponding acoustic unit tokenizations.
Burget, Lukas   +9 more
core   +1 more source

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