Relevant bibliographies by topics / Acoustics data

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

Academic literature on the topic 'Acoustics data'

Author: Grafiati
Published: 18 May 2024

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Journal articles on the topic "Acoustics data"

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Iglehart, Frank, Cheryl DeConde Johnson, and Stephen Wilson. "Classroom acoustics and the inclusion of hard of hearing children, helping the data be heard." Journal of the Acoustical Society of America 151, no. 4 (2022): A169. http://dx.doi.org/10.1121/10.0011003.

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Data on speech perception in children have led to acoustic accommodations in built schools for children with typical hearing but, despite compelling data, not for children who are hard of hearing. The ways to meet the acoustic needs of hard of hearing children are well researched and established in standards. After many years, however, the message is still not disseminating to architects, school districts, and building officials, and thus rarely makes its way into classroom construction. To help bring classroom accessibility to hard of hearing children, a team from the fields of acoustical engineering, architecture, and audiology is using speech perception data and computer simulations to promote inclusion in school design. This multi-year, multi-disciplinary effort began with earlier federal and foundation fundings for research on speech perception in hard of hearing children, which led to development of a new voluntary acoustic standard for schools by the American National Standards Institute. The goal of this work now is to get this standard into the hands of architects and school districts, and ultimately into building codes to have classroom acoustics designed for all students including those hard of hearing.
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Howe, Bruce M., and James H. Miller. "Acoustic Sensing for Ocean Research." Marine Technology Society Journal 38, no. 2 (2004): 144–54. http://dx.doi.org/10.4031/002533204787522811.

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Ocean observatories have the potential to examine the physical, chemical, biological, and geological parameters and processes of the ocean at time and space scales previously unexplored. Acoustics provides an efficient and cost-effective means by which these parameters and processes can be measured and information can be communicated. Integrated acoustics systems providing navigation and communications and conducting acoustic measurements in support of science applications are, in concept, analogous to the Global Positioning System, but rely on acoustics because the ocean is opaque to electromagnetic waves and transparent to sound. A series of nested systems is envisioned, from small- to regional- to basin-scale. A small number of acoustic sources sending coded, low power signals can service unlimited numbers of inexpensive receivers. Drifting and fixed receivers can be tracked accurately while collecting ocean circulation and heat content data (both point and integral data), as well as ambient sound data about wind, rain, marine mammals, seismic T-phases, and anthropogenic activity. The sources can also transmit control data from users to remote instruments, and if paired with receivers enable two-way acoustic communications links. Acoustic instrumentation that shares the acoustic spectrum completes the concept of integrated acoustics systems. The ocean observations presently in the planning and implementation stages will require these integrated acoustics systems.
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Shetty, Vishwas, Steven M. Lulich, Pertti Palo, and Abeer Alwan. "Development of vowel acoustics and subglottal resonances in American English-speaking children: A longitudinal Study." Journal of the Acoustical Society of America 152, no. 4 (2022): A286. http://dx.doi.org/10.1121/10.0016294.

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Acoustic analysis of typically developing elementary school-aged (prepubertal) children’s speech has been primarily performed on cross-sectional data in the past. Few studies have examined longitudinal data in this age group. For this presentation, we analyze the developmental changes in the acoustic properties of children’s speech using data collected longitudinally over four years (from first grade to fourth grade). Four male and four female children participated in this study. Data were collected once every year for each child. Using these data, we measured the four-year development of subglottal acoustics (first two subglottal resonances) and vowel acoustics (first four formants and fundamental frequency). Subglottal acoustic measurements are relatively independent of context, and average values were obtained for each child in each year. Vowel acoustics measurements were made for seven vowels (i, ɪ, ɛ, æ, ʌ, ɑ, u), each occurring in two different words in the stressed syllable. We investigated the correlations between the children’s subglottal acoustics, vowel acoustics, and growth-related variables such as standing height, sitting height, and chronological age. Gender-, vowel-, and child-specific analyses were carried out in order to shed light on how typically developing speech acoustics depend on such variables. [Work supported, in part, by the NSF.]
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Pita, Antonio, Francisco J. Rodriguez, and Juan M. Navarro. "Analysis and Evaluation of Clustering Techniques Applied to Wireless Acoustics Sensor Network Data." Applied Sciences 12, no. 17 (2022): 8550. http://dx.doi.org/10.3390/app12178550.

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Exposure to environmental noise is related to negative health effects. To prevent it, the city councils develop noise maps and action plans to identify, quantify, and decrease noise pollution. Smart cities are deploying wireless acoustic sensor networks that continuously gather the sound pressure level from many locations using acoustics nodes. These nodes provide very relevant updated information, both temporally and spatially, over the acoustic zones of the city. In this paper, the performance of several data clustering techniques is evaluated for discovering and analyzing different behavior patterns of the sound pressure level. A comparison of clustering techniques is carried out using noise data from two large cities, considering isolated and federated data. Experiments support that Hierarchical Agglomeration Clustering and K-means are the algorithms more appropriate to fit acoustics sound pressure level data.
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DeCourcy, Brendan J., and Ying-Tsong Lin. "Identifying the presence and importance of 3D acoustic effects in New England Shelf Break Acoustics experiment data." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A217. http://dx.doi.org/10.1121/10.0018703.

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During the 2021 New England Shelf Break Acoustics (NESBA) experiments, a real-time physical oceanographic and ocean acoustic modeling effort sought to predict planned acoustic transmissions between a network of moorings in situ. While positive comparisons between simulated acoustics and hydrophone observation were made during field experiments, updates to ocean environment models post-cruise have improved the model and data agreement. Of importance to this real-time modeling effort is to use the disagreement between acoustic simulation and acoustic data to estimate model environment errors. By identifying spatial locations of likely error in the modeled sound speed, in situ acoustic simulations can identify acoustically significant locations to perform measurements of ocean water state properties such as temperature and salinity, as well as marine geological features. This presentation will focus on comparison efforts, extracting model environment error estimates, and explore the influence of 3D effects on this process. [This research is supported by the Office of Naval Research.]
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Stewens, Thomas, Christian Adams, Alexander Pfaff, and Christopher Morschel. "Augmented reality for visualization of complex vibroacoustic data sets." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (2023): 5820–26. http://dx.doi.org/10.3397/in_2022_0863.

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As technical solutions become more and more complex, analyzing and understanding them must become easier. Especially abstract or perception-biased fields, such as acoustics, can benefit from displaying the behavior of a noise radiating structure in an understandable manner. How can the acoustic properties of a technical component or a system be displayed in such an understandable way? Due to the current advances in technology regarding the mixed reality spectrum, the HoloLens2 was chosen as the hardware component to run an application and display structural properties visually. The application is required to display enough data to convey the information without impeding user experience. The application is divided into subprojects. Each subproject is developed and tested in a separate environment. After verification the subprojects were implemented. AR-visualization reduces the necessary effort to understand the structure's acoustic behavior. Furthermore, explicit knowledge of acoustics is not required to understand the application. In the future, this application can be expanded with additional features such as auralization or a live feed of structures.
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Martinez, Veronica, Charles Anderson, Carrie Wall, and Elizabeth Jimenez. "Centralized data repositories: NOAA’s National Archives for Marine Acoustic Data." Journal of the Acoustical Society of America 151, no. 4 (2022): A234. http://dx.doi.org/10.1121/10.0011172.

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The NOAA National Centers for Environmental Information maintains two marine acoustic archives for the long-term stewardship of globally collected water-column sonar and passive acoustic data. These vast datasets are collected across NOAA and academia for a wide range of scientific objectives. The archives document the datasets using standards-driven metadata and preserve them on long-term storage systems. Users can discover, query, and access archived data using the archives’ web-based map viewers. Further, cloud-based access to 200 + TB through the NOAA Big Data Program enables free and immediate download of desired data and allows users to bring processing routines to large volumes of data—from simple statistical analyses to artificial intelligence. Cloud-based tools are being developed in collaboration with our partners in the ocean acoustic community to visualize and analyze data in the archives. This allows researchers of varying backgrounds to easily understand the quality and content of these complex data. Providing free access to data archives and facilitating the utility of these data increases the potential for researchers to address new questions that will advance the field of marine ecosystem acoustics.
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Barnard, Andrew, and Daniel A. Russell. "The graduate program in acoustics at Penn State." Journal of the Acoustical Society of America 152, no. 4 (2022): A124. http://dx.doi.org/10.1121/10.0015762.

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The Graduate Program in Acoustics at Penn State offers graduate degrees (M.Eng., M.S., Ph.D.) in Acoustics, with courses and research opportunities in a wide variety of subfields. Our 820 alumni are employed around the world in a wide variety of military and government labs, academic institutions, consulting firms, and consumer audio and related industries. Our 40+ faculty from several disciplines conduct research and teach courses in structural acoustics, nonlinear acoustics, architectural acoustics, signal processing, aeroacoustics, biomedical ultrasound, transducers, computational acoustics, noise and vibration control, acoustic metamaterials, psychoacoustics, and underwater acoustics. Course offerings include fundamentals of acoustics and vibration, electroacoustic transducers, signal processing, acoustics in fluid media, sound and structure interaction, digital signal processing, experimental techniques, acoustic measurements and data analysis, ocean acoustics, architectural acoustics, noise control engineering, nonlinear acoustics, outdoor sound propagation, computational acoustics, biomedical ultrasound, flow induced noise, spatial sound and three-dimensional audio, and the acoustics of musical instruments. This poster highlights faculty research areas, laboratory facilities, student demographics, successful graduates, and recent enrollment and employment trends for the Graduate Program in Acoustics at Penn State.
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Lammert, Adam, Michael Proctor, and Shrikanth Narayanan. "Interspeaker Variability in Hard Palate Morphology and Vowel Production." Journal of Speech, Language, and Hearing Research 56, no. 6 (2013): 1924–33. http://dx.doi.org/10.1044/1092-4388(2013/12-0211).

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Purpose Differences in vocal tract morphology have the potential to explain interspeaker variability in speech production. The potential acoustic impact of hard palate shape was examined in simulation, in addition to the interplay among morphology, articulation, and acoustics in real vowel production data. Method High-front vowel production from 5 speakers of American English was examined using midsagittal real-time magnetic resonance imaging data with synchronized audio. Relationships among hard palate morphology, tongue shaping, and formant frequencies were analyzed. Simulations were performed to determine the acoustical properties of vocal tracts whose area functions are altered according to prominent hard palate variations. Results Simulations revealed that altering the height and position of the palatal dome alters formant frequencies. Examinations of real speech data showed that palatal morphology is not significantly correlated with any formant frequency but is correlated with major aspects of lingual articulation. Conclusion Certain differences in hard palate morphology can substantially affect vowel acoustics, but those effects are not noticeable in real speech. Speakers adapt their lingual articulation to accommodate palate shape differences with the potential to substantially affect formant frequencies, while ignoring palate shape differences with relatively little acoustic impact, lending support for acoustic goals of vowel production.
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Douglass, Alexander S., John Ragland, and Shima Abadi. "Overview of distributed acoustic sensing technology and recently acquired data sets." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A64. http://dx.doi.org/10.1121/10.0018174.

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Fiber optic distributed acoustic sensing (DAS) is a recent innovation utilized primarily in the seismic community for measuring seismic acoustics signals at low frequencies (single digit Hz and below). The technique utilizes strain rates in a fiber optic cable, observed via the backscatter of light pulses, to measure the acoustic field. Recently, the capabilities of this technology to measure higher frequency acoustic fields (10s to 100s of Hz) have been explored. Low frequency marine mammals calls at ∼20 Hz and ship noises have been successfully recorded, and a recent experiment demonstrated the capability to record up to ∼500 Hz. This talk provides an overview of DAS technology and introduces two recent experiments for studying water column acoustics with DAS. A 4-day experiment conducted in November 2020 as part of the Ocean Observatories Initiative (OOI) provides data along two fiber optic cables extending west from the coast of Oregon by 65 km and 95 km, reaching depths of 590 m and 1575 m, respectively. DASCAL22, a recent experiment from October 2022, simultaneously recorded data using DAS at 2 kHz sampling rate on a cable extending 3.54km at ∼100 m depth and multiple moored hydrophones placed close to the DAS cable, allowing direct comparison between a new and existing technology.
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Dissertations / Theses on the topic "Acoustics data"

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Kuster, Martin. "Inverse methods in room acoustics with under-determined data and applications to virtual acoustics." Thesis, Queen's University Belfast, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486233.

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With the advent of commercial surround sound systems there is a growing demand for 11 system that can convert existing mono and stereo recor~ings into a surround sound recording. A part of this problem is to generate the reverberation for the additional audio channels from the reverberation in the mono or stereo recording. . , In thi~ thesis, it is investigated whether a room model can be constructed from one or two room impulse responses and in which a virtual surround sound recording can then be perfonned. The estimation of the room model parameters is based on the three well-mown room acoustic models; the geometrical acoustic model with specular reflections, the eigenmode model and the diffuse field model. It is shown that the scope with the geometrical acoustic and the eigenmode model is limited but it is possible to obtain useful and consistent results for the room volume and the source-to-receiver distance from the diffuse field model. Based on these findings, the problem of generating multiple room impulse responses from one or two input room impulse response(s) is approached slightly differently. The very early part of the room impulse responses (the early reflections) is generated by a geometrical model with specular and diffuse reflections. The remainder of the room impulse responses are copies of the input room impulses obtained by convolution with a set of filters that control the coherence between them. The values for the coherence are given by expressions for the coherence between microphones with first-order directivity in a diffuse field and these expressions are derived in the thesis. The results from objective and subjective tests indicate that this method works successfully.
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Fabre, Josette. "Representative Environments for Reduced Estimation Time of Wide Area Acoustic Performance." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1156.

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Advances in ocean modeling (Barron et al., 2006) have improved such that ocean forecasts and even ensembles (e.g., Coelho et al., 2009) representing ocean uncertainty are becoming more widely available. This facilitates nowcasts (current time ocean fields / analyses) and forecasts (predicted ocean fields) of acoustic propagation conditions in the ocean which can greatly improve the planning of acoustic experiments. Modeling of acoustic transmission loss (TL) provides information about how the environment impacts acoustic performance for various systems and system configurations of interest. It is, however, very time consuming to compute acoustic propagation to and from many potential source and receiver locations for multiple locations on an area-wide grid for multiple analysis / forecast times, ensembles and scenarios of interest. Currently, to make such wide area predictions, an area is gridded and acoustic predictions for multiple directions (or radials) at each grid point for a single time period or ensemble, are computed to estimate performance on the grid. This grid generally does not consider the environment and can neglect important environmental acoustic features or can overcompute in areas of environmental acoustic isotropy. This effort develops two methods to pre-examine the area and time frame in terms of the environmental acoustics in order to prescribe an environmentally optimized computational grid that takes advantage of environmental-acoustic similarities and differences to characterize an area, time frame and ensemble with fewer acoustic model predictions and thus less computation time. Such improvement allows for a more thorough characterization of the time frame and area of interest. The first method is based on critical factors in the environment that typically indicate acoustic response, and the second method is based on a more robust full waveguide mode-based description of the environment. Results are shown for the critical factors method and show that this proves to be a viable solution for most cases studied. Limitations are at areas of high loss, which may not be of concern for exercise planning. The mode-based method is developed for range independent environments and shows significant promise for future development.
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Neilsen, Tracianne Beesley. "Normal mode extraction and environmental inversion from underwater acoustic data /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Mirzaei, Golrokh. "Data Fusion of Infrared, Radar, and Acoustics Based Monitoring System." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1396564236.

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Visser, Wilhelmina Josefine. "Updating structural dynamics models using frequency response data." Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262548.

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Tashmukhambetov, Arslan. "Experimental Design, Data Analysis, and Modeling for Characterizing the Three-Dimensional Acoustic Field of a Seismic Airgun Array." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1084.

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In June 2003, the Littoral Acoustic Demonstration Center conducted an acoustic characterization experiment for a standard seismic exploration array. Two moorings with Environmental Acoustic Recording Systems (EARS) were deployed in the northern part of the Gulf of Mexico to measure ambient noise and collect shot information. A 21-element seismic airgun array was towed along five parallel linear tracks with horizontal closest approach points to the EARS buoy position of 63, 500, 1000, 2000, and 5000 m. Calibrated acoustic pressure measurements collected during the experiment were analyzed to obtain zero-to-peak sound pressures, sound exposure levels, and pressure levels in 1/3-octave frequency bands. In addition, the experimental data were modeled by using a modified underwater acoustic propagation model to fill in missing data measurements. The resulting modeling procedure showed good agreement between measured and modeled data in absolute pressure amplitudes and frequency interference patterns for frequencies up to 1000 Hz. The analysis is important for investigating the potential impact on marine mammals and fish and predicting the exposure levels for newly planned seismic surveys in other geographic areas. Based on results of the experiment conducted and data analysis performed, a new experimental design was proposed to maximize the amount of collected data using the available equipment while minimizing the time needed for the source ship. The design used three patches, one with 3º angular spacing between the lines at a reference depth. Embedded is a smaller patch with 1º spacing and within that a still smaller patch with one half degree spacing. This arrangement gives a reasonably uniform distribution of shots versus solid angle with a large variety of emission and azimuthal angles for different ranges. Due to the uncertainty of positioning systems, the angular space is divided into solid angle bins. Simulations predicted more than 200 shots per bin for emission angles greater than 13 degrees. Statistical analysis of collected data will be performed on the proposed bin basis. An experiment based on the proposed design was conducted in Fall 2007. The data measurements collected during the experiment are currently being analyzed and will be reported in the near future.
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Davies, P. "The analysis of vibration (and acoustic) data using time domain methods." Thesis, University of Southampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370336.

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Kandé, Yoba. "Spatial environmental analyses using functional approaches : application to multifrequential fisheries acoustics data." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB047.

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Cette thèse s'inscrit dans le cadre de la statistique fonctionnelle appliquée à l'environnement.La statistique fonctionnelle constitue un domaine de la statistique qui se penche sur des données présentées sous forme fonctionnelle. Elle propose des techniques pour la réduction de dimension, l'apprentissage supervisé et non supervisé, tout en tenant compte des dépendances temporelles et/ou spatiales des données fonctionnelles. Ce type de données est de plus en plus disponible dans de nombreux domaines, notamment les sciences de l'environnement, grâce aux technologies modernes. C'est notamment le cas des techniques d'acoustique des pêches, qui permettent d'obtenir des échantillons spatiaux et temporels d'organismes marins à diverses profondeurs et échelles spatiales, sans intrusivité.Dans le cadre de cette thèse, nous avons analysé un ensemble de données acoustiques multifréquences extraites par des échosondeurs scientifiques afin d'étudier la structure spatiale des agrégations d'organismes marins, communément appelées "Sound Scattering Layers". Nous avons examiné les caractéristiques de ces objets biologiques complexes, telles que leur épaisseur, leur densité relative et leur profondeur, en relation avec leur environnement. Cet environnement a été représenté à une échelle fine grâce à un système multiparamétrique tracté. Pour ce faire, nous avons d'abord utilisé des méthodes standards de statistique multivariée, puis nous avons mobilisé des techniques de l'analyse de données fonctionnelles, avec ou sans la dimension spatiale.Dans notre première analyse exploratoire, l'Analyse en composantes Principales fonctionnelle multivariée a fourni des informations précises sur la variation des paramètres le long des profondeurs, contrairement à l'Analyse en composantes Principales classique. Dans le cadre des tâches de régression, nos analyses, qu'elles intègrent ou non la dimension spatiale, ont mis en évidence des interactions entre les caractéristiques des "Sound Scattering Layers" et les variables environnementales clés à l'échelle spatiale. Nous avons observé des différences significatives entre les "Sound Scattering Layers" du nord et du sud, ainsi qu'entre ceux des zones côtières et des zones hauturières. Il est à noter que la prise en compte de la dimension spatiale a amélioré la qualité de la modélisation. Ces résultats démontrent que l'analyse statistique spatiale-fonctionnelle revêt une importance cruciale dans les études écologiques portant sur des objets spatialement complexes.Au-delà de notre étude de cas spécifique, l'application de l'analyse de données fonctionnelles ouvre des perspectives prometteuses pour un large éventail d'études écologiques impliquant des données spatiales massives<br>This thesis falls within the framework of functional statistics applied to the environment.Functional data analysis is a field of statistics that studies data in functional forms. It provides techniques for dimension reduction, supervised and unsupervised learning, while considering temporal and/or spatial dependencies in functional data. Such data types are increasingly available in various fields, particularly in environmental sciences, thanks to modern technologies. One example is the use of fisheries acoustics, which allows for obtaining spatial and temporal samples of marine organisms at various depths and spatial scales, without intrusiveness.In this thesis, we analyzed a set of multifrequency acoustic data collected by scientific echosounders to study the spatial structure of marine organism aggregations, commonly known as "Sound Scattering Layers." We examined the characteristics of these complex biological entities, such as thickness, relative density, and depth, in relation to their environment, represented at a fine scale using a towed multiparametric system. To do so, we initially applied standard multivariate statistical methods and then incorporated functional data analysis techniques, with or without the spatial dimension.In our initial exploratory analysis, Multivariate Functional Principal Component Analysis provided precise information about parameter variation along depths, unlike traditional Principal Component Analysis. In regression tasks, our analyses, whether incorporating spatial dimension or not, revealed interactions between "Sound Scattering Layers" descriptors and key environmental variables on a spatial scale. We noted significant differences between the "Sound Scattering Layers" in the northern and southern regions, as well as between those in coastal and offshore zones. It is worth noting that considering the spatial dimension improved modeling quality. These results highlight spatial-functional statistical analysis as a key method in ecological studies involving spatially complex objects.Beyond our specific case study, the application of functional data analysis offers promising prospects for a wide range of ecological studies involving massive spatial data
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Wibron, Emelie. "A Numerical and Experimental Study of Airflow in Data Centers." Licentiate thesis, Luleå tekniska universitet, Strömningslära och experimentell mekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67781.

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Airflow management is crucial for the performance of cooling systems in data centers. The amount of energy consumed by data centers is huge and a large amount is related to the cooling. In attempts to develop energy efficient data centers, numerical methods are important for several reasons. Experimental procedures are more expensive and time consuming but when done carefully, experiments provide trustful results that can be used to validate simulations and give additional insights. Numerical methods in their turn have the advantage that they can be applied to proposed designs of data centers before they are built and not only to already existing data centers. In this study, Computational Fluid Dynamics (CFD) is used to study the airflow in data centers. The aim is to use an experimentally validated CFD model to investigate the effects of using different designs in data centers with respect to the performance of the cooling systems. Important parameters such as quality of the computational grid, boundary conditions and choice of turbulence model must be carefully considered in order for the results from simulations to be reliable. In Paper A, a hard floor configuration where the cold air is supplied directly into the data center is compared to a raised floor configuration where the cold air is supplied into an under-floor space instead and enters the data center through perforated tiles in the floor. In Paper B, the performance of different turbulence models are investigated and velocity measurements are used to validate the CFD model. In Paper C, the performance of different cooling systems is further investigated by using an experimentally validated CFD model. The effects of using partial aisle containment in the design of data centers are evaluated for both hard and raised floor configurations. Results show that the flow fields in data centers are very complex with large velocity gradients. The k − ε model fails to predict low velocity regions. Reynolds Stress Model (RSM) and Detached Eddy Simulation (DES) produce very similar results and based on solution times, it is recommended to use RSM to model the turbulent airflow in data centers. Based on a combination of performance metrics where both intake temperatures for the server racks and airflow patterns are considered, the airflow management is significantly improved in raised floor configurations. Using side covers to partially enclose the aisles performs better than using top covers or open aisles.
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Hill, Robert M. "Model-data comparison of shallow water acoustic reverberation in the East China Sea." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FHill.pdf.

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Thesis (M.S. in Engineering Acoustics)--Naval Postgraduate School, September 2003.<br>Thesis advisor(s): Kevin B. Smith, Daphne Kapolka. Includes bibliographical references (p. 69-71). Also available online.
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Books on the topic "Acoustics data"

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NATO Advanced Study Institute on Underwater Acoustic Data Processing (1988 Kingston, Ont.). Underwater acoustic data processing. Kluwer Academic Publishers, 1989.

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Underwater signal and data processing. CRC Press, 1989.

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Computational atmospheric acoustics. Kluwer Academic Publishers, 2001.

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Computational ocean acoustics. 2nd ed. Springer, 2011.

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Eargle, John. Electroacoustical reference data. Van Nostrand Reinhold, 1994.

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Stevens, C. R. A hydroacoustic data acquisition system (HYDAS) for the collection of acoustic data from fish stocks. Science Branch, Dept. of Fisheries and Oceans, 1986.

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V, Clark A., Hehman C. S, and National Institute of Standards and Technology (U.S.), eds. Empirical modeling of electromagnetic acoustic transducer data. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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V, Clark A., Hehman C. S, and National Institute of Standards and Technology (U.S.), eds. Empirical modeling of electromagnetic acoustic transducer data. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Canada. Dept. of Fisheries and Oceans. Biological Sciences Branch. Accuracy and precision of scanmar data recorded on Canadian groundfish surveys. Dept. of Fisheries and Oceans, Biological Sciences Branch, 1994.

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Cross, Jeffrey L. Tip aerodynamics and acoustics test: A report and data survey. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Book chapters on the topic "Acoustics data"

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MacLennan, David N., and E. John Simmonds. "Data analysis." In Fisheries Acoustics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-017-1558-4_8.

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Damarla, Thyagaraju. "Sensor Data Fusion." In Battlefield Acoustics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16036-8_12.

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Harrington, Jonathan, and Steve Cassidy. "Classification of Speech Data." In Techniques in Speech Acoustics. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4657-9_9.

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Kostek, Boz̊ena. "Preprocessing of Acoustical Data." In Soft Computing in Acoustics. Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-7908-1875-8_3.

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Carter, Jerry A., George H. Sutton, Anne Suteau-Henson, and Fred K. Duennebier. "Analysis of Ocean-Subbottom Seismograph (OSS) Data." In Ocean Seismo-Acoustics. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2201-6_54.

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Swanson, David C. "Acoustic Data Acquisition." In Handbook of Signal Processing in Acoustics. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_2.

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Thomson, David J. "Inversion of Ocean Subbottom Reflection Data." In Progress in Underwater Acoustics. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_31.

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Krohn, Christine E. "Seismic Data Acquisition." In Handbook of Signal Processing in Acoustics. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_85.

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Sheldon, Duncan, and G. Clifford Carter. "Signal Processing of Ocean Acoustic Tomography Data." In Progress in Underwater Acoustics. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_22.

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Cheadle, S. P., and D. C. Lawton. "A Beam Steering Process for Seismic Data." In Progress in Underwater Acoustics. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_86.

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Conference papers on the topic "Acoustics data"

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Bilski, Piotr, Adam Kraiewski, Piotr Witomski, Piotr Bobinski, and Marcin Lewandowski. "Acoustic Data Analysis for the Assessment of Wood Boring Insects' Activity." In 2018 Joint Conference - Acoustics. IEEE, 2018. http://dx.doi.org/10.1109/acoustics.2018.8502418.

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de Oliveir, Giankarlo R. F. Fernandes, Mary Lucia S. Nogueira, Helenice Vital, and Josibel Gomes de Oliveira Junior. "Data processing of hydroacoustic data as support to mapping and characterization of seafloor." In 2013 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2013. http://dx.doi.org/10.1109/rioacoustics.2013.6684021.

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Malley, Dexter. "A High-Speed, Multi-Channel Data Acquisition System." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843038.

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da Conceicao, Fernanda V., and Arthur Ayres Neto. "Seabed properties analysis from multibeam backscatter data." In 2013 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2013. http://dx.doi.org/10.1109/rioacoustics.2013.6683976.

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de Queiroz, R. L., D. C. Garcia, L. E. N. Fonseca, E. M. Hung, and M. P. Rocha. "Scalable compression of multibeam echo sounder data." In 2017 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2017. http://dx.doi.org/10.1109/rioacoustics.2017.8349705.

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PETHEN, HJ, RJ EDENBOROUGH, and MK CHASE. "A METHOD OF ACOUSTIC PHASE CALIBRATION USING SMALL, SLOW SAMPLED, DATA SETS." In Acoustics '90. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21300.

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Chapman, Ross. "Geoacoustic Inversion of Broadband Data from the Florida Straits." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1842995.

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Redusino, Miguel, Fabio Mayo Belligotti, Heitor Augusto Tozzi, and Graeme Jaques. "Adding value to acoustic data sets in the offshore oil and gas industry by innovative processing and data integration techniques." In 2015 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2015. http://dx.doi.org/10.1109/rioacoustics.2015.7473612.

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Siderius, Martin. "High-Frequency Geoacoustic Inversion of Ambient Noise Data Using Short Arrays." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1842993.

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Zhang, Xiaofeng, Zhangyang Wang, Dong Liu, and Qing Ling. "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683197.

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Reports on the topic "Acoustics data"

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Lynch, James F. SW06 Shallow Water Acoustics Experiment Data Analysis. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531380.

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Lynch, James F. SW06 Shallow Water Acoustics Experiment Data Analysis. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada542108.

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Steininger, Gavin A., Stan E. Dosso, Jan Dettmer, and Charles W. Holland. Bayesian Inversion of Seabed Scattering Data (Special Research Award in Ocean Acoustics). Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada571873.

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Steininger, Gavin A., Stan E. Dosso, Jan Dettmer, and Charles W. Holland. Bayesian Inversion of Seabed Scattering Data (Special Research Award in Ocean Acoustics). Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575112.

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Clark, Christopher W., and Peter J. Dugan. 2014 Bio-Acoustics Data Challenge for the International Community on Machine Learning and Bioacoustics. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617979.

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Harris, P. M., S. P. Robinson, and L. Wang. A study of uncertainty propagation for an end-to-end data processing pipeline for an application in underwater acoustics. National Physical Laboratory, 2023. http://dx.doi.org/10.47120/npl.ac25.

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Blevins, Matthew, Gregory Lyons, Carl Hart, and Michael White. Optical and acoustical measurement of ballistic noise signatures. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39501.

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Supersonic projectiles in air generate acoustical signatures that are fundamentally related to the projectile’s shape, size, and velocity. These characteristics influence various mechanisms involved in the generation, propagation, decay, and coalescence of acoustic waves. To understand the relationships between projectile shape, size, velocity, and the physical mechanisms involved, an experimental effort captured the acoustic field produced by a range of supersonic projectiles using both conventional pressure sensors and a schlieren imaging system. The results of this ongoing project will elucidate those fundamental mechanisms, enabling more sophisticated tools for detection, classification, localization, and tracking. This paper details the experimental setup, data collection, and preliminary analysis of a series of ballistic projectiles, both idealized and currently in use by the U.S. Military.
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Meyer, Erik. Craters of the Moon National Monument and Preserve: Acoustic monitoring report, 2017. National Park Service, 2024. http://dx.doi.org/10.36967/2303262.

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This study arose from the Craters of the Moon National Monument and Preserve (CRMO) Resource Stewardship Strategy (RSS), which identified the need for baseline acoustic surveys in the park. Short-term natural soundscape RSS goals were to identify the condition of the acoustic resource, and the high priority stewardship activity associated with this goal was to collect baseline acoustic data. Therefore, from June?September 2017, the Natural Sounds and Night Skies Division (NSNSD) gathered acoustical data at six sites in CRMO to provide park managers with information about the acoustical environment, sources of noise, and the natural and existing ambient sound levels within the park. On average, noise was present from 7 to 85 percent of the time across the six sites. The most common sources of noise were vehicles, aircraft, and people. The maximum percent time audible for any detailed noise source was people at site CRMO004, audible for 81% of a 24-hr period. Aircraft was most audible at site CRMO005 (15%), and vehicles were most audible at site CRMO001 (20%). Overall, existing median ambient sound levels (LA50) at sites within CRMO ranged from 17.8?31.1 dB during the day and 15.6?34.0 dB at night during the sampling period. Natural ambient sound levels (LAnat) at sites within CRMO ranged from 16.4?30.0 dB during the day and 15.1?33.0 dB at night. The median impact, defined as the difference in dB between the LA50 and LAnat, was 1.4 dB. Noise impacts ranged from 1.1 dB at CRMO006 to 8.3 dB at CRMO004, where noise was audible for 100% of the time from 07:00 to 10:00.
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Bergès, B. J. P., and S. Sakinan. Analysis of ancillary acoustic data during acoustic trawl surveys. Stichting Wageningen Research, Centre for Fisheries Research (CVO), 2020. http://dx.doi.org/10.18174/522177.

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Best, Cody, Carl Hart, and Michael Muhlestein. Data acquisition software for impedance tube measurements. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45740.

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Transmission impedance tube measurements are necessary to measure the asymmetric acoustic property known as Willis coupling. However, software is required to measure and store data from an impedance tube for acoustic material characterization. This report details the overall structure of custom-developed software built from low-level functions. Software libraries from the data acquisition system as well as the HDF5 file system are the basis for the code. A command line user interface guides a user through the necessary steps in data collection.
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