Relevant bibliographies by topics / Acoustic sensors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Acoustic sensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Acoustic sensors"

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Chen, Qi-Chao, Wei-Chao Zhang, and Hong Zhao. "Response Bandwidth Design of Fabry-Perot Sensors for Partial Discharge Detection Based on Frequency Analysis." Journal of Sensors 2019 (November 18, 2019): 1–11. http://dx.doi.org/10.1155/2019/1026934.

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The insulation of power equipment can be effectively assessed by analyzing the acoustic signals originated from partial discharges (PD). Fabry-Perot (F-P) sensors are capable of detecting PD acoustic signals. Although the frequency bandwidth of an F-P sensor is mainly referred to conventional piezoelectric transducer (PZT) sensor, it is still doubtful to identify a suitable bandwidth for fiber sensors in detection of PD signals. To achieve a suitable bandwidth for an F-P sensor, the frequency distribution of PD acoustic emission is investigated, and an extrinsic F-P sensor is designed to detect acoustic signals generated from PD. F-P sensors with different intrinsic frequencies are fabricated as possible design standards of bandwidth for acoustic detection. PD acoustic signals are detected by these F-P sensors and PZT sensors in the experimental system, in which four typical electrode models are employed. The measured results of frequency performance are analyzed in linear and semilogarithmic coordinates. The results show that F-P sensors can effectively detect PD acoustic emissions in both wideband and narrowband modes. Moreover, F-P sensors achieve a higher sensitivity in the narrowband mode. We propose that intrinsic frequency of the F-P sensor should be designed in the frequency range of 100–170 kHz to obtain maximum sensitivity.
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Ozevin, Didem. "MEMS Acoustic Emission Sensors." Applied Sciences 10, no. 24 (December 16, 2020): 8966. http://dx.doi.org/10.3390/app10248966.

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This paper presents a review of state-of-the-art micro-electro-mechanical-systems (MEMS) acoustic emission (AE) sensors. MEMS AE sensors are designed to detect active defects in materials with the transduction mechanisms of piezoresistivity, capacitance or piezoelectricity. The majority of MEMS AE sensors are designed as resonators to improve the signal-to-noise ratio. The fundamental design variables of MEMS AE sensors include resonant frequency, bandwidth/quality factor and sensitivity. Micromachining methods have the flexibility to tune the sensor frequency to a particular range, which is important, as the frequency of AE signal depends on defect modes, constitutive properties and structural composition. This paper summarizes the properties of MEMS AE sensors, their design specifications and applications for detecting the simulated and real AE sources and discusses the future outlook.
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Sessler, G. M. "Acoustic sensors." Sensors and Actuators A: Physical 26, no. 1-3 (March 1991): 323–30. http://dx.doi.org/10.1016/0924-4247(91)87011-q.

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Nakamura, Kentaro. "Acoustic Sensors." IEEJ Transactions on Sensors and Micromachines 122, no. 4 (2002): 187–92. http://dx.doi.org/10.1541/ieejsmas.122.187.

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Wang, Ning, Hong Wei Quan, and Xiu Yin Xue. "A Method to Multi-Sensor Networking for Target Tracking." Applied Mechanics and Materials 533 (February 2014): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amm.533.207.

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The acoustic sensor networking is an important research topic in multi-sensor target tracking system. An acoustic sensor network consists of multiple acoustic sensors which are located in fixed positions with specific deployment mode. It can improve the robustness and fault-tolerance of the target tracking system, especially when a single or few sensors do not work normally with some faults. This paper discusses the acoustic sensor detection model and gives a method to sensor deployment for target detection in target tracking system.
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Liu, Fen, Rui Guo, Xiujuan Lin, Xiaofang Zhang, Shifeng Huang, Feng Yang, and Xin Cheng. "Influence of Propagation Distance on Characteristic Parameters of Acoustic Emission Signals in Concrete Materials Based on Low-Frequency Sensor." Advances in Civil Engineering 2022 (June 6, 2022): 1–14. http://dx.doi.org/10.1155/2022/7241535.

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Acoustic emission is a nondestructive testing technology based on the propagation of transient elastic waves captured by acoustic emission sensors. The acoustic emission signal depends not only on the distance and quality of the propagation path of the transient elastic wave but also on the sensitivity and frequency bandwidth of the receiving sensor that converts the transient elastic wave into a voltage signal. The frequency range of damage signals in concrete materials is generally in the low-frequency band. If high-frequency sensors are used, the low sensitivity to low-frequency signals will cause measurement errors, while the bandwidth of general commercial acoustic emission sensors is relatively narrow. Therefore, a high-sensitivity, low-frequency acoustic emission sensor is proposed, whose bandwidth is almost four times that of commercial sensors. Based on the customized sensor, we quantitatively analyzed the influence of propagation distance on the characteristic parameters of acoustic waves propagating in concrete. The results show that the different propagation modes of acoustic waves in concrete have different attenuation with the propagation distance, related to the position relationship between the acoustic source and the sensor and the propagation path and path quality. This result gives us a better understanding of the propagation mechanism of acoustic emission signals in concrete materials.
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Xu, Xiang-Yuan, Hao Ge, Jing Zhao, Zhi-Fei Chen, Jun Zhang, Ming-Hui Lu, Ming Bao, Yan-Feng Chen, and Xiao-Dong Li. "A monolithic three-dimensional thermal convective acoustic vector sensor with acoustic-transparent heat sink." JASA Express Letters 2, no. 4 (April 2022): 044001. http://dx.doi.org/10.1121/10.0010275.

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An acoustic vector sensor can directly detect acoustic particle velocity based on the measured temperature difference between closely spaced heated wires. For the detection of velocity in three dimensions, an integrated three-dimensional (3 D) sensor is desired, but it remains challenging in MEMS (Micro-Electro-Mechanical System) manufacturing. Here, a novel monolithic 3 D acoustic vector sensor is proposed, which is constructed using in-plane distributed wires assembled with acoustically transparent heat sink. The planar MEMS structure of the proposed sensor makes it easy to be fabricated and packaged. This work offers a new method for the design of acoustic vector sensors and other thermal convection-based MEMS sensors.
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Sun, Huojiao, Jie Wang, Zong Xu, Ke Tang, and Wanyi Li. "Transverse vibration modes analysis and acoustic response in optical fibers." AIP Advances 13, no. 2 (February 1, 2023): 025047. http://dx.doi.org/10.1063/5.0134559.

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Fiber optic sensors are often used as acoustic sensors to detect sound waves because of their apparent advantages, such as anti-electromagnetic interference and strong adaptation to the environment. The transverse vibration mode of the fiber caused by the acoustic wave can be obtained, and the principle of the optical fiber sensor to detect the acoustic wave signal was explored by using a simple model. It is found that the acoustic wave can effectively cause the change in birefringence of the fiber only when the number of azimuthal modes is 2, and the acoustic wave was detected by using a fiber sensor. It is found, by analyzing the detection mechanism, that the spectral width is proportional to the acoustic impedance of the surrounding medium, and the acoustic interaction between the TR22 mode and the surrounding medium is much weaker than that of the TR21 mode. This provides a theoretical basis for the detection of acoustic signals by fiber optic sensors.
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Seong, Ki, Ha Mun, Dong Shin, Jong Kim, Hideko Nakajima, Sunil Puria, and Jin-Ho Cho. "A Vibro-Acoustic Hybrid Implantable Microphone for Middle Ear Hearing Aids and Cochlear Implants." Sensors 19, no. 5 (March 5, 2019): 1117. http://dx.doi.org/10.3390/s19051117.

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To develop totally implantable middle ear and cochlear implants, a miniature microphone that is surgically easy to implant and has a high sensitivity in a sufficient range of audio frequencies is needed. Of the various implantable acoustic sensors under development, only micro electro-mechanical system-type acoustic sensors, which attach to the umbo of the tympanic membrane, meet these requirements. We describe a new vibro-acoustic hybrid implantable microphone (VAHIM) that combines acceleration and sound pressure sensors. Each sensor can collect the vibration of the umbo and sound pressure of the middle ear cavity. The fabricated sensor was implanted into a human temporal bone and the noise level and sensitivity were measured. From the experimental results, it is shown that the proposed method is able to provide a wider-frequency band than conventional implantable acoustic sensors.
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Costello, Benedict J., Stuart W. Wenzel, and Richard M. White. "Acoustic Chemical Sensors." Science 251, no. 4999 (March 15, 1991): 1372. http://dx.doi.org/10.1126/science.251.4999.1372.a.

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Dissertations / Theses on the topic "Acoustic sensors"

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Fernandes, Hugo Manuel Espinho Lebre. "Acoustic smart sensors." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/22734.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Nowadays buildings are being progressively integrated with an increasing number of sensors . Most of the times this sensors have quite speci c functions, butane sensors, propane sensors, carbon monoxide sensors, pyroelectric motion sensors, and this is what limits their eld of action. Introducing a certain level of autonomy to a sensor, i.e., send, process and receiving information can increase the interactivity and market attractiveness of a building. Within this point of view, and over-viewing the building conjuncture, it can be concluded that smart sensors will be installed during the construction, in recently constructed buildings, but also in buildings with several years which commonly have an physical electric network. This implies that this type of units will need to have an option to be retro tted and, to a certain degree, a simple installation. In this thesis, it is proposed the creation of an integrated solution using the wall of a room as a human interface. This system can establish communication with the gateway of a smart home using a previous researched, e cient and safe wireless protocol. Once the connection is established the gateway can execute a large variety of functions that can be programmed in the home central unit (gateway). The thesis hereby presented consists in a study of wireless communication protocols with respect to reliability, safety and practicality and in the research of the fusion between sensors, processing ability and communication interfaces with the intent of producing a prototype.
As habitações actuais são incorporadas com uma variedade cada vez mais vasta de sensores e actuadores. Estes sensores, na maioria das situações, tem uma função bastante especifica, sensores de gás butano, sensores de gás propano, sensores de monóxido de carbono, sensores piroeletricos. Através da introdução de autonomia a cada um destes sensores, nomeadamente, enviar, processar e receber informação, e possível tornar uma habitação num centro de partilha de informações fulcrais, acessível a partir de qualquer ponto. Nesta perspectiva, analisando a conjuntura habitacional deduz-se rapidamente que a aplicação de sensores inteligentes nao poderá ser feita apenas em novas habitações mas também terá que ser implementada em habitações que já possuem uma rede eléctrica implementada. Isto implica desde logo, que este tipo de equipamentos possam ser adaptados a redes que estão em utilização (retrotting) e que sejam de fácil acesso durante a instalação e manutenção. Desta forma entram em cena os protocolos de comunicação sem fios. Estes permitem nao somente a interligação dos sensores inteligentes (sensor, processador, interface de comunicação), mas também a sua ligação a actuadores e a interfaces pessoa-máquina, sem se por a necessidade de alterações físicas das habitações. A criação de uma soluçao integradora, utilizando a parede de uma habitação como interface humana e apresentada ao longo deste documento. Este sistema comunica com o gateway de uma casa inteligente utilizando a tecnologia wireless que será estudada e definida como a mais eficiente e segura. Uma vez interligada com o gateway poderá efectuar um conjunto vasto de operações, que estarão definidas no processador da unidade central da casa. A dissertação aqui apresentada consiste na analise de protocolos de comunicação wireless, e na concepção de um sistema de interface humana embutido nas paredes de edifícios habitacionais.
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Evans, Carl Richard. "Layer guided acoustic wave sensors." Thesis, Nottingham Trent University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442338.

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Avila, Gomez Adrian Enrique. "Development MEMS Acoustic Emission Sensors." Scholar Commons, 2017. https://scholarcommons.usf.edu/etd/7392.

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The purpose of this research is to develop MEMS based acoustic emission sensors for structural health monitoring. Acoustic emission (AE) is a well-established nondestructive testing technique that is typically used to monitor for fatigue cracks in structures, leaks in pressurized systems, damages in composite materials or impacts. This technology can offer a precise evaluation of structural conditions and allow identification of imminent failures or minor failures that can be addressed by planned maintenances routines. AE causes a burst of ultrasonic energy that is measured as high frequency surface vibrations (30 kHz to 1 MHz) generated by transient elastic waves that are typically emitted from growing cracks at the interior of the structure. The AE sensor marketplace is currently dominated by bulky and expensive piezoelectric transducers that are wired to massive multichannel data acquisition systems. These systems are complex to operate with the need of signal conditioning units and near proximity pre-amplifiers for each sensor that demands a fairly complicated wiring requirements. Furthermore, due to the high prices of conventional AE sensors and associated instrumentation, and the current requirements in sensor volumes for smart transportation infrastructure, it is undeniable that new AE technology is required for affordable structural health monitoring. The new AE technology must deliver comparable performance at one or two orders of magnitude lower cost, size and weight. MEMS acoustic emission (AE) sensors technology has the potential to resolve several of these traditional sensor’s shortcomings with the advantage of possible integration of on-chip preamplifier while allowing substantially cost reduction due to the batch processing nature of MEMS technology. This study will focus on filling some of the major existing gaps between current developments in MEMS acoustic emission sensors and commercial piezoelectric sensors, such as sensor size, signal-to-noise ratio (SNR), cost and the possibility to conform to sharply curved surfaces. Basically, it is proposed to develop a new class of micro-machined AE sensors or sensor arrays through strategic design of capacitive and piezoelectric MEMS sensors, which will focus on optimizing the following performance aspects: Creating geometric designs to manipulate the sensor resonant frequency and to optimize Q factor under atmospheric pressure and ambient environment. Developing a strategic selection of materials according to its acoustic impedance as insulator, structure and backing material. Developing strategies to improve the signal to noise ratio SNR with and without integrated amplification/signal processing. Performing a comparison between MEMS and commercial piezoelectric sensors.
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Fabrice, Martin. "Layer guided shear acoustic wave sensors." Thesis, Nottingham Trent University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251224.

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Kaplan, Emrah. "Surface acoustic wave enhanced electroanalytical sensors." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6557/.

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In the last decade, miniaturised “lab-on-a-chip” (LOC) devices have attracted significant interest in academia and industry. LOC sensors for electrochemical analysis now commonly reach picomolar in sensitivities, using only microliter-sized samples. One of the major drawbacks of this platform is the diffusion layer that appears as a limiting factor for the sensitivity level. In this thesis, a new technique was developed to enhance the sensitivity of electroanalytical sensors by increasing the mass transfer in the medium. The final device design was to be used for early detection of cancer diseases which causes bleeding in the digestive system. The diagnostic device was proposed to give reliable and repeatable results by additional modifications on its design. The sensitivity enhanced-sensor model was achieved by combining the surface acoustic wave (SAW) technology with the electroanalytical sensing platform. The technique was practically tested on a diagnostic device model and a biosensing platform. A novel, substrate (TMB) based label-free Hb sensing method is developed and tested. Moreover, the technique was further developed by changing the sensing process. Instead of forming the sensitive layer on the electrodes it was localised on polystyrene wells by a rapid one-step process. Results showed that the use of acoustic streaming, generated by SAW, increases the current flow and improves the sensitivity of amperometric sensors by a factor of 6 while only requiring microliter scale sample volumes. The heating and streaming induced by the SAW removes the small random contributions made by the natural convection and temperature variation which complicate the measurements. Therefore, the method offers stabilised conditions for more reliable and repeatable measurements. The label-free detection technique proved to be giving relevant data, according to the hemoglobin concentration. It has fewer steps than ELISA and has only one antibody. Therefore, it is quick and the cross-reactivity of the second antibody is eliminated from the system. The additional modifications made on the technique decreased the time to prepare the sensing platform because the passivation steps (i.e., pegylation), prior to structuring a sensitive layer were ignored. This avoidance also increased the reliability and repeatability of the measurements.
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Fuller, Ryan Michael. "Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066.

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O'Neill, Sean Francis. "Optical methods of acoustic detection." Thesis, University of Kent, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270811.

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Messing, David P. (David Patrick) 1979. "Noise suppression with non-air-acoustic sensors." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87444.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaves [74]-[75]).
by David P. Messing.
S.M.
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Atherton, S. "Semen quality detection using acoustic wave sensors." Thesis, Nottingham Trent University, 2011. http://irep.ntu.ac.uk/id/eprint/233/.

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Artificial insemination (AI) is a widely used part of the modern agricultural industry, with the number of animals inseminated globally being measured in the millions per anum. Crucial to the success of AI is that the sperm sample used is of a high Quality. Two factors which determine the quality of the sample are the number of sperm present and their motility. There are numerous methods used to analyse the quality of a sperm sample, but these are generally laboratory based, expensive and in need of a skilled operator to perform the analysis. It would, therefore be useful to have a simple and inexpensive system which could be used outside the laboratory, immediately prior to the insemination of the animal. Presented in this thesis is work developing a time of flight (ToF) technique which makes use of a quartz crystal microbalance (QCM), operating at 5 MHz, as the sensing element. Data is shown developing a device where a 50 μl sample of boar sperm is added to a liquid filled swim channel, which the sperm are allowed to self-propel down and attach to the surface of a QCM at the end. The attachment of the sperm to the surface causes a measurable frequency decrease in the QCM, aproximately 50 Hz. An average effective mass measurement was made using a QCM and gave a value of 8 ± 5 pg per sperm, which was used in conjunction with the frequency change to determine the number rate of sperm reaching the QCM. Additional data is presented to investigate the effect of environmental temperature on the ToF of the sperm, showing a decrease in ToF between 23 0C to 37 0C. The system was also used to investigate increasing the swim speed of the sperm by chemical means. A range of 20 μmol to 100 μmol of progesterone was added to the swim medium and the ToF was shown to decrease as a result. To further develop the system, large commercial electronics were replaced by smaller circuits built in-house. An oscillator circuit based on a Pierce oscillator was used to drive the QCM and a frequency counter circuit making use of a universal frequency to digital converter (UFDC-1) was used to measure the frequency of the QCM. ToF experiments were performed which showed these pieces of equipment to be effective for performing the analysis of sperm samples. The swim cell itself was also refined, resulting in a compact, modular design. Work was performed developing layer-guided, single-port acoustic resonators to replace the QCM as the sensing element in the sperm analysis device. A maximum mass sensitivity of 1110 Hzμg-1cm-2 was found for devices on a LiTaO3 substrate with a 6 μm guiding layer. While viscosity-density sensing experiments found a maximum sensitivity of 488 KHz Pa-1/2 kg1/2 for a 4 μm guiding layer.
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Neelisetti, Raghu Kisore Lim Alvin S. "Improving reliability of wireless sensor networks for target tracking using wireless acoustic sensors." Auburn, Ala., 2009. http://hdl.handle.net/10415/1931.

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Books on the topic "Acoustic sensors"

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Dey, Nilanjan, Amira S. Ashour, Waleed S. Mohamed, and Nhu Gia Nguyen. Acoustic Sensors for Biomedical Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92225-6.

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Piezoelectric sensorics: Force, strain, pressure, acceleration and acoustic emission sensors, materials and amplifiers. Berlin: Springer, 2002.

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Deng, Zhiping. Acoustic wave sensors for aroma components using conducting polymer films. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.

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C, Stone David, ed. Surface-launched acoustic wave sensors: Chemical sensing and thin-film characterization. New York: Wiley, 1997.

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Glennie, Derek John. Fiber optic sensors for the detection of surface acoustic waves on metals. [Downsview, Ont.]: University of Toronto, [Institute for Aerospace Studies], 1993.

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Parrott, Tony L. Pressure probe and hot-film probe response to acoustic excitation in mean flow. Hampton, Va: Langley Research Center, 1986.

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Ferguson, Suzanne Marie. The detection of damage induced acoustic emission in advanced composite materials using embedded optical fibre sensors. Ottawa: National Library of Canada, 1990.

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Chiu, Foun Ling. Network analysis method applied to the studies of protein absorption on the thickness-shear wave mode acoustic wave sensors. Ottawa: National Library of Canada, 1993.

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Xiao, Yang. Underwater acoustic sensor networks. Boca Raton: Auerbach Publications, 2010.

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Busch-Vishniac, Ilene J. Electromechanical Sensors and Actuators. New York, NY: Springer New York, 1999.

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Book chapters on the topic "Acoustic sensors"

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Fischerauer, Gerhard, A. Mauder, and R. Müller. "Acoustic Wave Devices." In Sensors, 135–80. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620180.ch5.

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Fraden, Jacob. "Acoustic Sensors." In Handbook of Modern Sensors, 431–43. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6466-3_12.

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Dey, Nilanjan, Amira S. Ashour, Waleed S. Mohamed, and Nhu Gia Nguyen. "Acoustic Sensors." In SpringerBriefs in Speech Technology, 33–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92225-6_4.

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Sharapov, Valeriy. "Electro-acoustic Transducers." In Piezoceramic Sensors, 357–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15311-2_12.

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Fries, David, and William Kirkwood. "Non-Acoustic Sensors." In Springer Handbook of Ocean Engineering, 423–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16649-0_18.

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Bane, Gary L. "U.U.V. Acoustic Sensors." In Ocean Resources, 89–104. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2133-7_10.

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Gautschi, Gustav. "Acoustic Emission Sensors." In Piezoelectric Sensorics, 199–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04732-3_10.

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Caliendo, C., E. Verona, and A. D’Amico. "Surface Acoustic Wave (SAW) Gas Sensors." In Gas Sensors, 281–306. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2737-0_8.

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Martin, J. F., K. Marsh, J. M. Richardson, and G. Rivera. "Acoustic Imaging in Three Dimensions." In Sensors and Sensory Systems for Advanced Robots, 341–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83410-3_16.

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Hering, Ekbert. "Acoustic Measured Variables." In Sensors in Science and Technology, 549–60. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-34920-2_9.

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Conference papers on the topic "Acoustic sensors"

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Maupin, David B., Christopher M. Dumm, George E. Klinzing, Carey D. Balaban, and Jeffrey S. Vipperman. "Microscopic Optical Acoustic Sensors for Intracranial Measurements." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-96139.

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Abstract Optical acoustic sensors provide a potential means for making accurate intracranial pressure measurements. Complex cranial geometries consisting of bone, tissue, and fluid filled spaces pose problematic conditions for the use of conventional acoustic sensors. This research investigates the potential limitations of previously devised optical acoustic sensors in addition to introducing a novel procedure utilizing micro-scale additive manufacturing to fabricate such sensors with a bandwidth on the order of 20kHz to 200kHz. The significance of individual parameters describing the sensor geometry are discussed as a basis for developing sensors with desired characteristics. Results are obtained through finite element modeling comparing mechanical sensitivities and frequency response arising from diaphragm geometric design and optical fiber positioning within a sensor body. Fabrication techniques and sensor performance are reported.
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Crickmore, R. I., C. Minto, A. Godfrey, and R. Ellwood. "Quantitative Underwater Acoustic Measurements Using Distributed Acoustic Sensing." In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.15.

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Detection of surface and underwater targets was carried out using distributed acoustic sensing on the seabed fibre optic cables at a depth of ~180m. The cable’s pressure responsivity was measured and beamforming was demonstrated
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Chen, George Y., Gilberto Brambilla, and Trevor P. Newson. "An optical microfiber acoustic sensor." In Optical Sensors. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.st5b.2.

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Chang-Hong Lin, Ming-Yen Chen, and Chen-Kuei Chang. "Acoustic scene change detection." In 2015 IEEE Sensors. IEEE, 2015. http://dx.doi.org/10.1109/icsens.2015.7370192.

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Liang, Yizhi, Huojiao Sun, Long Jin, Linghao Cheng, Hao Liang, and Bai-Ou Guan. "Acoustic-impedance Mapping With Trapped Acoustic Phonon (TRAP) Modes in Optical Fibers." In Optical Fiber Sensors. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/ofs.2018.wb2.

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Tu, You-Lin, Jin-An Wu, Shih-Jui Chen, Barthelemy Cagneau, and Luc Chassagne. "Fabrication of acoustic ejectors with replaceable acoustic lens by using soft-lithography." In 2016 IEEE SENSORS. IEEE, 2016. http://dx.doi.org/10.1109/icsens.2016.7808546.

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Verona, Enrico. "Microwave Acoustic Sensors." In 2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2019. http://dx.doi.org/10.1109/weconf.2019.8840640.

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Huang, Tony Jun. "Acoustic tweezers: Manipulating particles, cells, and organisms using standing surface acoustic waves (SSAW)." In 2013 IEEE Sensors. IEEE, 2013. http://dx.doi.org/10.1109/icsens.2013.6688481.

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Zhou, Ying, Ashwin A. Seshia, and Elizabeth A. H. Hall. "Microfluidics-based acoustic microbubble biosensor." In 2013 IEEE Sensors. IEEE, 2013. http://dx.doi.org/10.1109/icsens.2013.6688408.

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Gonzalez-Herraez, Miguel, Maria R. Fernandez-Ruiz, Regina Magalhaes, Luis Costa, Hugo F. Martins, Carlos Becerril, Sonia Martin-Lopez, et al. "Distributed Acoustic Sensing in Seismology." In Optical Fiber Sensors. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.th2.1.

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Abstract:
We review the use of Distributed Acoustic Sensing for the characterization of tele-seismic and micro-seismic activity. We show that this tool may offer impressive new capabilities in the field of seismology, particularly in underwater scenarios.
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Reports on the topic "Acoustic sensors"

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Hammon, David S. Optimal Deployment of Drifting Acoustic Sensors. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573166.

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Dennis, John A., Tim A. Patterson, and Ilya Schiller. Frequency Domain Signal Processing for Acoustic Sensors. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada375309.

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Kozick, Richard J., and Brian M. Sadler. Tracking Moving Acoustic Sources With a Network of Sensors. Fort Belvoir, VA: Defense Technical Information Center, October 2002. http://dx.doi.org/10.21236/ada410115.

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Nelson, Janice L. Studies of TTF RF Photocathode Gun Using Acoustic Sensors. Office of Scientific and Technical Information (OSTI), August 2002. http://dx.doi.org/10.2172/799984.

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Freitag, Lee. Acoustic Communications and Navigation for Mobile Under-Ice Sensors. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572170.

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Elburn, Eddie, and Ryan C. Toonen. Acoustic Nondestructive Evaluation of Aircraft Paneling Using Piezoelectric Sensors. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada579857.

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Silvia, Manuel T. A Theoretical and Experimental Investigation of Acoustic Dyadic Sensors. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada390111.

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Freitag, Lee. Acoustic Communications and Navigation for Mobile Under-Ice Sensors. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada601147.

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Cernosek, R. W., J. H. Small, P. S. Sawyer, J. R. Bigbie, and M. T. Anderson. Vehicle exhaust gas chemical sensors using acoustic wave resonators. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/653969.

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Thomas, Len, Tiago Marques, David Borchers, Catriona Harris, David Moretti, Ronald Morrissey, Nancy DiMarzio, et al. DECAF - Density Estimation for Cetaceans from Passive Acoustic Fixed Sensors. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada539132.

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