Article
Acoustics
Yufei Ma, Yinqiu Hu, Shunda Qiao, Ziting Lang, Xiaonan Liu, Ying He, Vincenzo Spagnolo
Summary: This paper reports on the performance of quartz tuning fork (QTF) based laser spectroscopy sensing using multiple QTFs. Two resonance frequency matching methods are proposed to avoid degradation of sensor performance. Experimental results validate the effectiveness of the proposed methods.
Article
Acoustics
Kamran Mahdavi, Sahar Zinatloo-Ajabshir, Qahtan A. Yousif, Masoud Salavati-Niasari
Summary: This study focused on the fabrication of new photocatalytic nanocomposites (Dy2O3-SiO2) using a basic agent, tetraethylenepentamine (Tetrene), through a simple and efficient sonochemical approach. The fabricated nanocomposite exhibited sphere-shaped nanoparticles with a particle size ranging from 20 to 60 nm. It showed superior efficiency in decomposing various contaminants and hydroxyl radicals played a crucial role in the degradation process.
ULTRASONICS SONOCHEMISTRY
(2022)
Article
Acoustics
Shengxi Zhou, Mickael Lallart, Alper Erturk
Summary: Vibration energy harvesting is a new method for supplying sustainable energy to low powered sensor networks and electronic devices. Multiple vibration energy harvesters using different energy conversion mechanisms have been designed and tested. The challenge lies in the response to input excitation characteristics, which can be addressed through multistable characteristics commonly found in mathematical models and physical devices. The focus on multistable vibration energy harvesters is mainly due to their nonlinear dynamic characteristics that improve the efficiency of vibration energy harvesting.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Acoustics
Shunda Qiao, Angelo Sampaolo, Pietro Patimisco, Vincenzo Spagnolo, Yufei Ma
Summary: In this paper, an ultra-highly sensitive light-induced thermoelastic spectroscopy (LITES) based HCl sensor using a custom low-frequency QTF and a fiber-coupled MPC was demonstrated. The results showed that the low-frequency QTF provided improved signal enhancement compared to a standard QTF, and the fiber-coupled MPC enhanced system robustness. The sensor exhibited an excellent linear response to HCl gas concentration.
Article
Acoustics
Chun-Hui He, Dan Tian, Galal M. Moatimid, Hala F. Salman, Marwa H. Zekry
Summary: This study examined the hybrid oscillator HRVD with a cubic-quintic nonlinear term and an external excited force. Different mathematical techniques were used to study the stability and control methods of the oscillator, with NIPPF controller found to be the most effective. Through numerical and graphical analysis, the impact of the controller at the primary resonance case was discussed.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2022)
Article
Acoustics
Bo Zhu, Qishui Zhong, Yinsheng Chen, Shaohui Liao, Zhixiong Li, Kaibo Shi, Miguel Angel Sotelo
Summary: This article proposes a novel two-step reconstruction method for precise temperature distribution measurement, which provides high-resolution images and maintains high accuracy. By utilizing equilibrium optimizer and Gaussian process regression techniques, it effectively improves the resolution of temperature distribution images and reduces reconstruction errors.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Acoustics
Chun-Hui He, Tarek S. Amer, Dan Tian, Amany F. Abolila, Abdallah A. Galal
Summary: This work focuses on vibration alleviation and energy harvesting in a dynamical system of a spring-pendulum. The structure of the pendulum is modified using an independent electromagnetic harvesting system, and efforts have been made to achieve both energy harvesting and vibration mitigation efficacy.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2022)
Article
Acoustics
Yuxing Li, Bingzhao Tang, Yingmin Yi
Summary: This study introduces a new feature extraction method for underwater acoustic signal processing, called slope entropy (SloE). Combined with the variational mode decomposition algorithm, the proposed method analyzes and recognizes ship-radiated noise signals based on the extraction of SloE. The experimental results demonstrate that the feature extraction method based on SloE achieves a higher recognition rate.
Article
Acoustics
L. J. Salomon, Z. Alfirevic, V Berghella, C. M. Bilardo, G. E. Chalouhi, F. Da Silva Costa, E. Hernandez-Andrade, G. Malinger, H. Munoz, D. Paladini, F. Prefumo, A. Sotiriadis, A. Toi, W. Lee
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
(2022)
Proceedings Paper
Acoustics
Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
Summary: Although U-Net has been successful in medical image segmentation, it lacks the ability to model long-range dependencies. Vision Transformers have emerged as an alternative structure for their ability to capture long-range correlations through Self-Attention (SA), but they require large-scale pre-training and have high computational complexity. To address these issues, we propose a Mixed Transformer Module (MTM) that learns inter- and intra-affinities simultaneously. MTM efficiently calculates self-affinities using our Local-Global Gaussian-Weighted Self-Attention (LGG-SA) and mines inter-connections between data samples using External Attention (EA). We construct a U-shaped model called Mixed Transformer U-Net (MT-UNet) for accurate medical image segmentation using MTM. Experimental results on two public datasets demonstrate that our proposed method outperforms other state-of-the-art methods.
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2022)
Review
Acoustics
Chun-Hui He, Yusry O. El-Dib
Summary: The article discusses the application of the homotopy perturbation method in nonlinear vibration theory, focusing on the treatment of non-conservative oscillators, including models like Duffing oscillators and fractional oscillators. The authors heuristically explain the method's specific applications through examples, demonstrating its potential in solving practical problems.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2022)
Review
Acoustics
Fan Yang, Ramin Sedaghati, Ebrahim Esmailzadeh
Summary: This article critically reviews the application of tuned mass damper technology in structural vibration suppression, focusing on tuned mass damper technology and its modifications, mathematical modeling in discrete and continuous structures, optimization procedure for the system design, and practical realization of active and semi-active tuned mass damper technologies.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Acoustics
Xiaonan Liu, Shunda Qiao, Guowei Han, Jinxing Liang, Yufei Ma
Summary: A highly sensitive hydrogen fluoride (HF) sensor based on light-induced thermoelastic spectroscopy (LITES) technique is reported in this study. The sensor utilizes a simple structure and a robust shallow neural network (SNN) fitting algorithm for denoising the spectroscopy data. The system stability is demonstrated through Allan variance analysis and a low minimum detection limit (MDL) is achieved.
Article
Acoustics
M. J. Harmsen, T. van den Bosch, R. A. De Leeuw, M. Dueholm, C. Exacoustos, L. Valentin, W. J. K. Hehenkamp, F. Groenman, C. De Bruyn, C. Rasmussen, L. Lazzeri, L. Jokubkiene, D. Jurkovic, J. Naftalin, T. Tellum, T. Bourne, D. Timmerman, J. A. F. Huirne
Summary: This study aimed to evaluate the need for better-defined Morphological Uterus Sonographic Assessment (MUSA) features of adenomyosis and to reach consensus on updated definitions through a Delphi procedure. The experts identified a need for more detailed definitions of some MUSA features and recommended the use of 3D ultrasound for optimal visualization. Consensus was achieved on the revised definitions and classification of MUSA features as direct or indirect signs of adenomyosis.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
(2022)
Article
Acoustics
Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
Summary: Most existing datasets for sound event recognition (SER) are relatively small and/or domain-specific. AudioSet, which is based on over 2 M tracks from YouTube videos, is not an open dataset. To address this issue, researchers introduce FSD50K, an open dataset containing over 51k audio clips manually labeled using 200 classes from the AudioSet Ontology. The dataset is freely distributable and detailed descriptions and analysis are provided. Baseline systems and insights on data splitting for SER are also presented.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2022)
Article
Acoustics
Jing Liu, Changke Tang, Guang Pan
Summary: This paper proposes a comprehensive numerical dynamic model of a flexible-rotor bearing system based on nonlinear contact force methods, analyzing the influences on system displacements and spectrums. Results show that differences in frequency-amplitude characteristics between flexible and rigid rotor bearing systems are small at low speeds but significant at high speeds.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Review
Acoustics
Libertario Demi, Frank Wolfram, Catherine Klersy, Annalisa De Silvestri, Virginia Valeria Ferretti, Marie Muller, Douglas Miller, Francesco Feletti, Marcin Welnicki, Natalia Buda, Agnieszka Skoczylas, Andrzej Pomiecko, Domagoj Damjanovic, Robert Olszewski, Andrew W. Kirkpatrick, Raoul Breitkreutz, Gebhart Mathis, Gino Soldati, Andrea Smargiassi, Riccardo Inchingolo, Tiziano Perrone
Summary: A multidisciplinary panel of international LUS experts reviewed and updated the international consensus for point-of-care LUS, resulting in 20 statements with guidelines and future development proposals in the areas of technical, clinical, educational, and safety aspects.
JOURNAL OF ULTRASOUND IN MEDICINE
(2023)
Article
Acoustics
Yong Zhu, Guangpeng Li, Shengnan Tang, Rui Wang, Hong Su, Chuan Wang
Summary: Hydraulic piston pumps are critical components in fluid power systems and their health status is crucial for the safety and reliability of mechanical equipment. This research introduces the particle swarm optimization algorithm to automatically select the hyperparameters of a diagnosis model and constructs a convolutional neural network model optimized by PSO. The proposed PSO-LeNet model, based on acoustic signals, identifies five common states of a hydraulic piston pump with high accuracy and stability compared to other CNN models.
Article
Acoustics
Tong Wang, Ning Wang, Na Li, Xiaorui Ji, Hongwei Zhang, Dianyu Yu, Liqi Wang
Summary: By using high-intensity ultrasound treatment, the physicochemical properties of the emulsion were improved, resulting in reduced aggregation and separation, and enhanced stability.
ULTRASONICS SONOCHEMISTRY
(2022)
Article
Acoustics
Hasan Seilsepour, Mohamadreza Zarastvand, Roohollah Talebitooti
Summary: In this paper, a viscoelastic model is proposed to determine the sound transmission loss coefficient of a sandwich shell system with double curvature. The results show that the applied strategy can improve the acoustic characteristics of the system at high frequencies, and the effect becomes more significant with increased thickness.
JOURNAL OF VIBRATION AND CONTROL
(2023)
