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Experimental investigation of vibro-acoustic noise analysis in the switched reluctance motor through transient model-based multiphysics analysis for electric vehicles applications Appl. Acoust. (IF 3.4) Pub Date : 2024-03-13 Pemmareddy Saiteja, Bragadeshwaran Ashok
The SR motor is acquiring popularity due to its dynamic characteristics such as higher power, torque, and efficiency. Even though, Vibro-acoustic noise is a significant issue in SR motors, which are caused by radial electromagnetic forces. This research adopted a novel methodology to investigate the various vibro-acoustic noise sources to enhance the performance of real-time SR motors. This methodology
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A machine learning approach for predicting the Johnson-Champoux-Allard parameters of a fibrous porous material Appl. Acoust. (IF 3.4) Pub Date : 2024-03-12 Wei Yi, Jingwen Guo, Teng Zhou, Hanbo Jiang, Yi Fang
Porous fibrous materials have been widely used as acoustic treatments for noise attenuation. Their acoustic properties are typically characterized by Johnson-Champoux-Allard (JCA) model, which includes five dominant parameters, i.e., open porosity, flow resistivity, tortuosity, viscous characteristic length, and thermal characteristic length. The JCA parameters depend on the microstructure configuration
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Adaptive minimum noise amplitude deconvolution and its application for early fault diagnosis of rolling bearings Appl. Acoust. (IF 3.4) Pub Date : 2024-03-12 Xuyang Xie, Lei Zhang, Jintao Wang, Guobing Chen, Zichun Yang
To address the challenge of detecting early faults in rolling bearings, where weak fault features are occasionally obscured by background noise, an innovative early fault diagnosis method based on adaptive minimum noise amplitude deconvolution (MNAD) is introduced. Initially, a correlation Gini index function is defined to estimate the fault period, while leveraging the iterative advantages of MNAD
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Wood chip sound absorbers: Measurements and models Appl. Acoust. (IF 3.4) Pub Date : 2024-03-10 Maedeh Lashgari, Ebrahim Taban, Mohammad Javad SheikhMozafari, Parham Soltani, Keith Attenborough, Ali Khavanin
Normal incidence absorption coefficient spectra of samples made from glued wood chips have been measured for various mesh sizes, bulk densities, thicknesses, and air gaps. Increasing thickness introduces additional layer resonance peaks and shifts the initial peak towards lower frequencies. The wood chip samples composed of the smallest mesh sizes were found to offer the highest sound absorption, comparable
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Effect of wind noise on active noise control headphones and wind noise suppression in distributed filtered-x least mean squares algorithms Appl. Acoust. (IF 3.4) Pub Date : 2024-03-10 Mingyang Chen, Yijing Chu, Yuezhe Zhao, Feng Niu, Haitao Sun
Wind noise has detrimental impacts on audio equipment. This paper evaluates the impact of wind noise on the noise control performance of ANC headphones in a variety of windy environments. The findings indicate that the noise reduction performance of headphones degrades as the wind speed increases. To improve the performance of ANC systems in windy environments, the diffusion filtered-x least mean squares
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A method of layout optimization for MFC actuators in active vibration control of composite laminates Appl. Acoust. (IF 3.4) Pub Date : 2024-03-08 Hui Zhang, Wei Sun, Haitao Luo, Jia Shen, Rongfei Zhang
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Bending damage behavior of 3D-C/C-TiC-Cu composite based on acoustic emission technology Appl. Acoust. (IF 3.4) Pub Date : 2024-03-08 Xianghong Wang, Xinlei Dong, Yonggang Tong, Hongwei Hu, Wenzheng Liu
In order to improve the matrix brittleness of carbon fiber reinforced ceramic matrix composites (CMCs), a new type of 3D-C/C-TiC-Cu CMC material is prepared by introducing high toughness Ti-Cu alloy. This study uses acoustic emission (AE) technology to investigate the damage process of the material under graded cyclic bending loading in order to study the mechanical properties of materials in parallel
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A method to estimate the rectangular orthotropic plate elastic constants using least-squares and Chladni patterns Appl. Acoust. (IF 3.4) Pub Date : 2024-03-08 Michele Ducceschi, Sebastian Duran, Henna Tahvanainen, Ludovico Ausiello
A method to retrieve the elastic constants of rectangular wooden plates is presented, relying on the measurement of a set of eigenfrequencies and the identification of the corresponding mode shapes, and belonging to the more general category of non-destructive inverse parameter estimation methods. Compared to previous work, the current method is effective with any choice of boundary conditions. Furthermore
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Numerical and experimental studies on the owl-inspired propellers with various serrated trailing edges Appl. Acoust. (IF 3.4) Pub Date : 2024-03-08 Yijuan Gu, Fuqiang Song, Honglei Bai, Jianing Wu, Kun Liu, Bowen Nie, Liangquan Wang, Zhizhou Zhang, Zhenbo Lu
The present study investigates owl-inspired propellers with various serrated trailing edge configurations. An analysis utilizes a numerical model that integrates computational fluid dynamics (CFD) with Large Eddy Simulation (LES) and Lighthill acoustic analogy. The simulation aims to clarify the mechanism behind noise reduction in the bionic propeller by comparing tip vortices and wake region vortices
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A high-performance conical-neck helmholtz resonator-based piezoelectric self-powered system for urban transportation Appl. Acoust. (IF 3.4) Pub Date : 2024-03-08 Pengfei Fan, Shangbo Wang, Xinheng Wang
As urbanization accelerates, the issue of traffic noise escalates. Efficiently harnessing this prevalent acoustic energy and facilitating its collection and conversion has emerged as a notable challenge in contemporary research. This paper introduces a piezoelectric self-powered system anchored on a Conical-Neck Helmholtz Resonator-Based Piezoelectric Self-Powered System (CNHR-PSS) which places the
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MGGSED-SSA: An improved sparse deconvolution method for rolling element bearing diagnosis Appl. Acoust. (IF 3.4) Pub Date : 2024-03-07 Peiming Shi, Shiming Gao, Hang Tan, Xuefang Xu, Ruixiong Li
Sparse deconvolution methods can not only adaptively design the filter to counteract the negative effect of the transmission path but also exhibit superior performance compared to traditional deconvolution methods based on kurtosis. Yet, determining the optimal filter length remains challenging, and there is still further study to be done on how to make sparse deconvolution methods work better under
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Nonlinear sound absorption of coiling-up space under high amplitude acoustic excitation Appl. Acoust. (IF 3.4) Pub Date : 2024-03-07 Wei Sun, Zhigang Chu, Yifeng Lang
In this paper, we investigate the nonlinear sound absorption of coiling-up space under high amplitude acoustic excitation with analytical method based on JCAL model, numerical simulation method based on finite element, and experimental methods based on impedance tube. The analytical model is established by analogy with porous material. The high incident sound pressure level (ISPL) causes acoustic vortices
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Gaussian processes with normal-mode-based kernels for matched field processing Appl. Acoust. (IF 3.4) Pub Date : 2024-03-06 Yining Liu, Runze Hu, Daowei Dou, Haiqiang Niu, Desheng Chen, Lijun Xu
The Gaussian processes (GPs) model the acoustic field in the ocean waveguide by exploiting the correlation of the acoustic field at different receiving depths. Therefore, for the measured acoustic field of a sparsely distributed array, the GPs can predict the dense field at the virtual receivers. The kernel function reflects the correlation of field measurements between different receiving depths.
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Mel frequency mapping for intelligent diagnosis of rolling element bearings across different working conditions Appl. Acoust. (IF 3.4) Pub Date : 2024-03-05 Yubin Yue, Hongjun Wang, Shenglun Zhang
The diagnosis of rolling bearing faults under constant operational conditions has garnered substantial scholarly interest, leading to the development of numerous robust and reliable diagnostic techniques. However, the dynamic and variable nature of industrial operating conditions complicates the acquisition of diagnostic data and renders fault prediction problematic, thus posing a formidable obstacle
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Evaluating and predicting the audibility of acoustic alarms in the workplace using experimental methods and deep learning Appl. Acoust. (IF 3.4) Pub Date : 2024-03-04 F. Effa, J.-P. Arz, R. Serizel, N. Grimault
Occupational noise exposure is a widespread concern, impacting millions of workers. The present research focuses on the audibility of acoustic alarms to ensure worker safety while minimizing exposure to unnecessarily high alarm levels. It introduces a laboratory experiment carried on normal-hearing participants to assess the perceived audibility of acoustic alarms in various workplace noise conditions
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Non-orthogonal pilot pattern design and sparse channel estimation for underwater acoustic MIMO-OFDM systems Appl. Acoust. (IF 3.4) Pub Date : 2024-03-04 Tong Li, Feng Zhou, Lu Ma, Hanbo Jia, Xinyu Liu, Muhammad Muzzammil
This paper proposes a novel non-orthogonal pilot pattern design method for underwater acoustic (UWA) multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems, leveraging compressive sensing (CS) channel estimation. This approach adopts the mutual incoherence property (MIP) and enhances pilot density without increasing pilot overhead. We conducted rigorous mathematical
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Sound mapping design of water features used over road traffic noise for improving the soundscape Appl. Acoust. (IF 3.4) Pub Date : 2024-03-02 Francesca M.A. Calarco, Laurent Galbrun
This paper examines the effectiveness of water features in masking noise and improving the soundscape, when used over road traffic noise. The work focused on identifying how appropriate sound pressure levels can be achieved from a variety of water sounds generated by small to medium sized features (waterfalls, fountains, jets, a cascade and a natural stream). Sound pressure levels were calculated using
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Effect of headphone-based stimuli presentation method on echo threshold Appl. Acoust. (IF 3.4) Pub Date : 2024-03-01 Teng Cao, Guangzheng Yu, Dan Rao
The echo threshold (ET), defined as the critical time delay from perceiving a single fused sound image to two spatially separated sound images in the presence of delayed stimuli, is the upper limit of precedence effect. In the ET measurements using headphones, the interaural time difference (ITD) stimuli presentation method is often employed. However, considering AR/VR scenarios, the virtual auditory
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Gearbox localized fault detection based on meshing frequency modulation analysis Appl. Acoust. (IF 3.4) Pub Date : 2024-02-29 Shaodan Zhi, Haikuo Shen, Tianyang Wang
Gearbox fault detection commonly relies on comparing sideband frequencies beside the meshing frequency of gear, and its harmonics of higher orders in frequency domain between the measured signal and healthy baseline. However, this type of localized fault detection algorithm is less intuitive and credible because other factors, such as manufacturing and assembly errors, can lead to similar sidebands
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Prediction and mitigation of building vibrations caused by train operations on concrete floors Appl. Acoust. (IF 3.4) Pub Date : 2024-02-29 Yitao Qiu, Chao Zou, Jiahao Hu, Jialiang Chen
The potential construction of an elevated metro depot incorporating commercial and residential facilities is being considered in order to optimize land utilization. The vibration generated by trains operating on the concrete floor poses an intriguing challenge, as it directly propagates through the load-bearing structure to the over-track buildings without undergoing soil attenuation. Consequently
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Tram noise annoyance: The role of different psychoacoustic measures in the assessment of noise Appl. Acoust. (IF 3.4) Pub Date : 2024-02-28 Tomasz Nowakowski, Paweł Komorski
Current environmental standards rely on A-weighted equivalent noise levels (L) or Single Event Level (SEL), which have limitations. This article presents the results of a study on tram noise annoyance in the context of different acoustic measures proposing a different approach to assessing traffic noise in the city. The main objective of the study was to understand how different noise measures may
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Speaker recognition using isomorphic graph attention network based pooling on self-supervised representation Appl. Acoust. (IF 3.4) Pub Date : 2024-02-28 Zirui Ge, Xinzhou Xu, Haiyan Guo, Tingting Wang, Zhen Yang
The emergence of self-supervised representation (i.e., wav2vec 2.0) allows speaker-recognition approaches to process spoken signals through foundation models built on speech data. Nevertheless, effective fusion on the representation requires further investigating, due to the inclusion of fixed or sub-optimal temporal pooling strategies. Despite of improved strategies considering graph learning and
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A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels Appl. Acoust. (IF 3.4) Pub Date : 2024-02-28 Xiaoming Yuan, Zhikang Zhang, Pengfei Liang, Zhi Zheng, Lijie Zhang
Traditional fault diagnosis (FD) for rotating machinery solely based on vibration signals has problems such as inconvenient collection, low accuracy, and poor robustness. This article proposes a fusion framework based on tensor fusion and dual attention network (TFDAN), utilizing acoustic and vibration signals from two datasets of centrifugal pumps and cylindrical roller bearings. Firstly, continuous
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Monitoring acoustic cavitation effects in tissues under the action of HIFU based on ultrasound images Appl. Acoust. (IF 3.4) Pub Date : 2024-02-27 Shijie Lv, Huifeng Zheng, Runguang Yao, Yuebin Wang, Baoming Peng
The cavitation effect plays a key role in the field of High-intensity focused ultrasound treatment. By monitoring cavitation to adjust the irradiation dose, effective control of cavitation effects can be achieved, which is crucial for ensuring the safety and efficacy of HIFU therapy. In this paper, a method for monitoring cavitation effects in tissues based on ultrasound images is proposed. First,
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Adaptive feature enhancement of modulation spectrum of ship radiation noise Appl. Acoust. (IF 3.4) Pub Date : 2024-02-27 Shaoxiang Guo, Guolong Liang, Nan Zou, Bin Qi, Yongshuai Gao
The Detection of Envelope Modulation on Noise (DEMON) has been widely used in passive sonar target identification for determining the operational status and propeller structure characteristics of ships. However, the traditional DEMON spectrum is susceptible to environmental noise, which increases the difficulty of feature extraction. To address this issue, this paper investigates an adaptive feature
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Neural activity and sound impression induced by virtual bass for individuals who prefer bass-heavy audio Appl. Acoust. (IF 3.4) Pub Date : 2024-02-26 Kaori Asakawa, Jin Hirano, Takashi Yamazaki, Masaru Kimura, Yoichi Yamazaki, Kenji Katahira, Noriko Nagata
This study aimed to examine the impact of virtual bass technology on sound perception and its potential effects on the electroencephalogram (EEG) of individuals who prefer bass-heavy audio. A group of eleven participants was exposed to nine jazz music excerpts, with added harmonics generated from low-frequency components to enhance the bass sound virtually. The participants then evaluated the sound
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Efficient prediction of individual head-related transfer functions based on 3D meshes Appl. Acoust. (IF 3.4) Pub Date : 2024-02-26 Jiale Zhao, Dingding Yao, Jianjun Gu, Junfeng Li
Individual head-related transfer functions (HRTFs) are critical for binaural spatial audio rendering. In contrast to anthropometric parameters and pinnae images, 3D meshes allow for a more direct and comprehensive representation of the anthropometric structure, which provides highly effective inputs for modeling individualized HRTFs. This paper presents a neural network-based method for predicting
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Multiscale simulation for sound transmission loss of a particulate filter in an exhaust system using a homogenization method Appl. Acoust. (IF 3.4) Pub Date : 2024-02-26 Takashi Yamamoto, Yusuke Akimoto, Naoki Hosomi
Most vehicles have diesel or gasoline particulate filters to remove particulate matter contained in gas from internal combustion engines. On the other hand, regulations have been in effect for vehicle-noise emission, with several studies conducted on reducing noise from the exhaust systems of automobiles. Generally, mufflers with expansion chambers and sound-absorbing materials have been used to reduce
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Composite embedded track structure considering temperature dependent characteristics for rolling noise reduction of inter-city railway system Appl. Acoust. (IF 3.4) Pub Date : 2024-02-24 Jian Han, Guotang Zhao, Ping Wang, Gang Yang, Yuanpeng He, Boyang An
Intercity railway will generate strong noise when passing through the surrounding residents, among which rolling noise is the main noise source and is difficult to control. A composite embedded track structure containing polymer material was fabricated to analyze its damping and rolling noise reduction characteristics. The damping characteristics of polymer materials of embedded track were tested by
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Designing and experimental validation of single-layer mixed foil resonator acoustic membrane to enhance sound transmission loss (STL) within low to medium frequency range Appl. Acoust. (IF 3.4) Pub Date : 2024-02-24 Faisal Rafique, Chun Gong, Song Shigong, Lu Wenbo, Wu Yunzhu, FengPeng Yang
This study presents a novel design for an acoustic membrane structure that employs a parallel-arrangement of mixed foil sound resonators to improve sound absorption and insulation capabilities in the low to medium frequency range. The structure is composed of a single layer of parallel-arranged mixed foil wedge-shaped coffers and a bottom flat panel separated by an air cavity. The mixed thickness-based
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Gearbox faults severity classification using Poincaré plots of acoustic emission signals Appl. Acoust. (IF 3.4) Pub Date : 2024-02-22 Rubén Medina, René-Vinicio Sánchez, Diego Cabrera, Mariela Cerrada, Edgar Estupiñan, Wengang Ao, Rafael E. Vásquez
Classification of fault severity in gearboxes using Acoustic Emission (AE) signals is challenging because such signals represent a highly non-linear and possibly chaotic system. Due to the common assumption of linearity, the statistical features extracted from these systems are suboptimal for the classification of fault severity. Hence, this paper uses the Poincaré plot (PP) of Acoustic Emission (AE)
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Sound transmission across a rectangular duct section with a thin micro-perforated wall backed by a sidebranch cavity Appl. Acoust. (IF 3.4) Pub Date : 2024-02-22 M.L. Fung, S.K. Tang, Mors Leung
An experimental investigation was carried out in the present study for deeper understanding on the sound transmission across a rectangular duct section installed with a thin micro-perforated panel (as a duct wall) backed by a sidebranch cavity. The contributions of the panel configuration and the cavity depth on reducing sound transmission are examined in detail. Results indicate a complicated relationship
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Damage pattern recognition of concrete hollow slab with analysis of different AE monitoring positions Appl. Acoust. (IF 3.4) Pub Date : 2024-02-21 Sheng-Li Li, Shun-Teng Hou, Guang-Ming Wu, Wen-Cong Sun, Nan Jiang
Concrete hollow slab has the advantages of simple structure and convenient construction, and is the most widely used structural form in small and medium-span concrete bridges. Recognizing damage patterns is importance for assessing the safety condition of the concrete hollow slabs. This paper adopted the monotonic loading test method of concrete hollow slab to optimize the placement of acoustic emission
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Enhanced sound absorption with the combined sonic black holes Appl. Acoust. (IF 3.4) Pub Date : 2024-02-20 Lihua Peng, Qibo Mao, Heng Wang, Longcheng Lai, Qingping Shi, Minghao Chen
In this study, a combined sonic black hole (SBH) structure is proposed to improve the sound absorption performance of the traditional SBH. The proposed combined SBH consists of multiple SBHs with different lengths by space division. The transfer matrix method (TMM) is used to analyze the sound absorption performance of the proposed combined SBH. Furthermore, the proposed SBH is fabricated by the additive
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Enhanced microbubble-mediated cavitation by using acoustic droplet vaporization Appl. Acoust. (IF 3.4) Pub Date : 2024-02-19 Jing Cao, Honghui Xue, Yinuo Zheng, Ling Wang, Litao Sun
Acoustic cavitation serves various therapeutic purposes, with both microbubbles and phase-transit droplets serving as potential cavitation nuclei. This project focused on investigating the intricate interaction between microbubbles and droplets and the resultant impact on acoustic cavitation.
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Acoustic mechanisms and tonal noise control of contra-rotating ducted fan by rotating speed regulation Appl. Acoust. (IF 3.4) Pub Date : 2024-02-19 Qian Liu, Hanru Liu, Yangang Wang, Xun Shang, Siwei Wang
The contra-rotating ducted fan (CRDF) involves more tonal noise modes compared with rotor/stator and single-rotor ducted fans. According to the present experiment on small-scale CRDF the dominant tone is concentrated at the harmonics of blade passing frequencies of front-rotor and rear-rotor as the modes of (,0) and (0,), as well as the modes () respectively. To investigate the flow mechanisms and
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Cloud chamber experimental study for acoustic fog elimination technology Appl. Acoust. (IF 3.4) Pub Date : 2024-02-16 Liang Cheng, Ying-Hui Jia, Fang-Fang Li, Jun Qiu
Scholars have previously shown that sound waves can promote the collision and growth of cloud droplets. To determine the optimal acoustic parameters for fog removal, a cloud chamber with a diameter of 1.0 m and a height of 7.5 m was constructed in this study. The effects of low-frequency (<100 Hz) sound waves on the dispersion of dense fog at different sound pressure levels (SPLs) were studied and
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Hybrid numerical prediction and experimental validation of hydrodynamic self-noise of the sonar acoustic window Appl. Acoust. (IF 3.4) Pub Date : 2024-02-15 Dengfeng Wu, Mengsa Yu, Shijin Lü, Qi Shen, Yan Gao, Dongsen Hu
The accurate and efficient calculation of the sonar hydrodynamic self-noise is an effective way to predict the sonar detection performance and optimise the acoustic design of a sonar acoustic-window. This paper proposes a hybrid numerical method using the finite element method and uncorrelated wall plane waves technique, and considers the coupling of the structural vibration of the sonar acoustic-window
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On combining statistical noise levels Appl. Acoust. (IF 3.4) Pub Date : 2024-02-14 Renzo Tonin
An analytical and experimental study was conducted to determine the underlying accuracy of combining statistical noise levels, particularly the and the . Combining values of is important in the wind energy industry particularly where the contribution from wind turbines is to be determined from the total measured noise level. It is stated in wind farm standards that logarithmic addition and subtraction
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Computational models of auditory sensation important for sound quality on basis of either gammatone or gammachirp auditory filterbank Appl. Acoust. (IF 3.4) Pub Date : 2024-02-14 Takuto Isoyama, Shunsuke Kidani, Masashi Unoki
Four auditory sensation (loudness, sharpness, roughness, and fluctuation strength) models incorporating a gammatone auditory filterbank (GTFB) or gammachirp auditory filterbank (GCFB) were modeled from the specific loudness and examined as model auditory sensations of stationary sounds. The auditory sensory models that use a time-domain auditory filterbank and involve a two-part calculation of specific
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Inverse design of laminated plate-type acoustic metamaterials for sound insulation based on deep learning Appl. Acoust. (IF 3.4) Pub Date : 2024-02-12 Ci Song, Xiaole Wang, Siqi Xu, Chunyu Zhao, Zhenyu Huang
The laminated plate-type acoustic metamaterial (LPAM) has designable low-frequency sound insulation performance and ultrathin and ultralight characteristics. However, the complexity of LPAM design increases significantly as the number of layers increases. An inverse design method is proposed to determine the topology and design parameters of LPAM based on deep learning. To train the deep learning model
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Bio-inspired secure underwater acoustic communication by quasi-orthogonal keying Appl. Acoust. (IF 3.4) Pub Date : 2024-02-10 Zhuochen Li, Jiajia Jiang, Guocai Chen, Qingwang Yao, Lin Huang, Xiaozong Hou, Zhaoming Li, Fajie Duan
The bio-inspired secure underwater acoustic communication strategy camouflages the messages with cetacean calls, tricking the enemy into mistaking the communication signals for natural marine mammal sounds to obtain communication security, showing distinct advantages over the conventional low probability of detection secure strategies. Inspired by this, this paper proposes a bio-inspired secure underwater
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Impact of geometric modifications of small axial fans on psychoacoustic metrics Appl. Acoust. (IF 3.4) Pub Date : 2024-02-10 Tadej Novaković, Luka Čurović, Marko Hočevar, Jurij Prezelj
This paper presents a comprehensive experimental investigation of a basic axial fan and its various modifications. The fan blades were designed according to recommendations from the literature. The prototypes were 3D printed and tested under different operating conditions in accordance with the ISO 5136 and ISO 5801 standards. The aim of the study was to investigate the effects of the axial fan design
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Methodology of Chewing’s sound acquisition by different detectors for dry food in terms of crispness and crunchiness Appl. Acoust. (IF 3.4) Pub Date : 2024-02-09 Piero Sabella, Angelo Farina, Andrea Leporati
This paper presents an acoustic detection methodology, providing an overview of Sound Profile Analysis (SPA) and objective data for food sensory analysis. The main goal of present work is improving the sensorial evaluation of crispness and crunchiness on dry food by mastication’s sound. This is aimed to the definition of a quality index for “crispy”and“crunchy” perceptual parameters, which are the
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Improving informational-attentional masking of water sound on traffic noise by spatial variation settings: An in situ study with brain activity measurements Appl. Acoust. (IF 3.4) Pub Date : 2024-02-09 Jian Li, Massimiliano Masullo, Luigi Maffei, Aniello Pascale, Chi-kwan Chau, Minqi Lin
According with soundscape strategies to improve the perception of the sound environment, laboratory studies have proven that introducing water sounds into urban spaces can be both an effective strategy for the informational-attentional masking of road traffic noise, and restorativeness creation. To extend previous laboratory findings and test the effectiveness and applicability of different spatial
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Effects of the environment in coal mine roadways on the attenuation and reception of low-frequency ultrasonic signals Appl. Acoust. (IF 3.4) Pub Date : 2024-02-09 Di Wang, Guoqing Shi, Sun Liu, Chenxi Xu
For the long-distance propagation in the wide roadway of coal mine, low-frequency ultrasonic signal is used in the mine ultrasonic anemometer. The aim of this study is to investigate the effects of environmental factors including coal dust, atmospheric pressure, temperature and relative humidity of the air on the attenuation and reception of low-frequency ultrasonic signals. We calculated the simplified
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Off-grid deconvolution beamforming for acoustic source identification Appl. Acoust. (IF 3.4) Pub Date : 2024-02-09 Yongxin Yang, Yang Yang, Zhigang Chu
Deconvolution beamforming treats the output of conventional beamforming as the convolution of source strength distribution and point spread function (PSF), and solves it through different algorithms to eliminate the influence of PSF and obtain clear acoustic source identification imaging results. Accurate construction of the PSF requires not only the transfer vectors between the scanning points and
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Indoor air temperature measurements using ultrasonic travel-time tomography Appl. Acoust. (IF 3.4) Pub Date : 2024-02-08 Najmeh Sadat Dokhanchi, Cherif Othmani, Joerg Arnold, Albert Vogel, Sebastian Merchel, Conrad Voelker, M. Ercan Altinsoy
coustic travel time ography (ATOM) is a remote measuring technique that uses sound velocity to monitor indoor air temperature distribution. The sound velocity can be derived experimentally from the travel times estimation along the sound propagation paths with known lengths. Previous works often deal with the ATOM measurements within the audible range () based on the travel times of early reflections
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A noise monitoring system with domain adaptation based on standard parameters measured by sound analyzers Appl. Acoust. (IF 3.4) Pub Date : 2024-02-08 Miguel Molina-Moreno, Daniel de la Prida, Luis A. Azpicueta-Ruiz, Antonio Pedrero
Continuous and unattended noise monitoring systems are currently used in airports, railways and roads to actively monitor the noise sources present in these scenarios. The noise monitoring process involves, among other tasks, the detection and classification of the captured acoustic events, using the different procedures to identify the events of interest allowed by international standards. These procedures
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Sound transmission characteristics of X-shape inertial amplification acoustic metamaterial Appl. Acoust. (IF 3.4) Pub Date : 2024-02-08 Yonghang Sun, Jingjie Dong, Heow Pueh Lee, Hui Zheng
This paper presents a new type of acoustic metamaterial plate periodically attaching X-shape inertial amplification (XIA) mechanisms to realize the low-frequency bandgaps and efficient sound insulation. Different from the conventional approaches relying on the mass law to reduce noise, XIA mechanisms mitigate the vibration, as well as the sound radiation, of the host structures by amplifying the inertia
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Research on multipath performance of acoustic spread-spectrum signals based on artificial multipath experiments in an anechoic chamber Appl. Acoust. (IF 3.4) Pub Date : 2024-02-06 Yongzhuang Tang, Qidou Zhou, Zhiyong Xie, Yucun Pan, Gang Ji, Xiaojun Lü
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Assessing the audio-visual environment at the Great Wall of China: Impacts on visitor satisfaction and restoration Appl. Acoust. (IF 3.4) Pub Date : 2024-02-06 Xinmiao Zhu, Fangfang Liu, Jian Kang, Songfu Liu, Yue Wu, Wei Zhao, Yongzeng Xue, Chen Wang
Previous studies have highlighted the significant role of vision in human perception. In this study, we examined whether the assessment of the audio-visual environment at China’s iconic Great Wall aligns with these findings to understand how this assessment influences visitor satisfaction and a sense of restoration. Using a field survey with 107 participants, an eight-variable structural equation model
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Phasor field based photoacoustics: A virtual orthogonal wavefield model for nonnegative photoacoustic computational tomography Appl. Acoust. (IF 3.4) Pub Date : 2024-02-05 Siyu Liu, Meng Cao, Liang Chen, Qi Jin
The phasor field technique has substantially aided the advancement of the time of flight imaging field and sparked intense scientific research interest during the past several years. Recently, phasor field approach was brought to the field of photoacoustic imaging and results in greatly enhanced image SNR and less artifact interference. This paper aims to establish the foundation for a comprehensive
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Photoacoustic imaging of gingival inflammation using low-cost near-infrared diode laser Appl. Acoust. (IF 3.4) Pub Date : 2024-02-04 Atika Windra Sari, Rini Widyaningrum, Andreas Setiawan
Periodontal disease and dental caries are the most common health issues encountered in dental practice. A new technique for detecting periodontitis is photoacoustic imaging (PAI) with a low-cost diode laser modality. This study investigates the capability of a PAI system in detecting gingival inflammation by using an animal model. The modeling of gingival inflammation in this study used Sprague-Dawley
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A methodological approach for soundscape attributes translation using Twitter data: A case study in the Portuguese language Appl. Acoust. (IF 3.4) Pub Date : 2024-02-03 Nara Gabriela de Mesquita Peixoto, Lucas Rafael Ferreira, Renato C. Afonso, Vítor G. Comissoli, Leonardo Marques Monteiro
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Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion Appl. Acoust. (IF 3.4) Pub Date : 2024-01-31 Mengsheng Wang, Hongbin Ma, Yingli Wang, Xianhe Sun
In the realm of consumer technology, Artificial Intelligence (AI)-based Speech Emotion Recognition (SER) has rapidly gained traction and integration into smart home systems. Its precision in recognition has become a pivotal factor significantly impacting user experience. However, the intricate task of selecting suitable features has emerged as a daunting challenge due to the variances in speech features
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Multiparameter-based separation method for acoustic emission of in-service prestressed hollow slab tire–road noise signals Appl. Acoust. (IF 3.4) Pub Date : 2024-02-02 Sheng-Li Li, Yi-Qing Zhao, Guang-Ming Wu, Cui-Ping Shi, Nan Jiang, Bin Xu
The noise caused by tires impact on road surface is inevitable in acoustic emission (AE) monitoring for in-service hollow slab bridges, which affects the damage analysis of the bridge. This gets few attentions due to the lack of such cases of AE monitoring. Since parametric analysis is a commonly used method in AE monitoring, a multiparameter-based method is proposed for separating tire-road AE noise
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Curve squeal in sharp curves: effect of multiple wheel/rail contact points Appl. Acoust. (IF 3.4) Pub Date : 2024-01-30 Federico Castellini, Leonardo Faccini, Egidio Di Gialleonardo, Stefano Alfi, Roberto Corradi, Giacomo Squicciarini, David Thompson
Curve squeal is one of the most annoying noise problems related to the operation of trains, trams, and metros in urban environments. It typically occurs in sharp curves, which are very common in urban areas, and is disturbing for both passengers and people in proximity to the line. Curve squeal is characterized by a loud tonal noise that usually occurs close to the natural frequencies of the wheel