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Relevant bibliographies by topics / Wingbeat frequency

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Journal articles
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Academic literature on the topic 'Wingbeat frequency'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Wingbeat frequency"

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Bruderer, L., F. Liechti, and D. Bilo. "Flexibility in flight behaviour of barn swallows (Hirundo rustica) and house martins (Delichon urbica) tested in a wind tunnel." Journal of Experimental Biology 204, no. 8 (2001): 1473–84. http://dx.doi.org/10.1242/jeb.204.8.1473.

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The flight behaviour of barn swallows (Hirundo rustica) and house martins (Delichon urbica) was tested in a wind tunnel at 15 combinations of flight angles and speeds. In contrast to that of most other small passerines, the intermittent flight of hirundines rarely consists of regular patterns of flapping and rest phases. To vary mechanical power output, both species used intermittent flight, controlling the number of single, pulse-like wingbeats per unit time. House martins in descent tended to concentrate their wingbeats into bursts and performed true gliding flight during rest phases. Barn s

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Boonman, Arjan, Yossi Yovel, and Ofri Eitan. "Wing-Beat Frequency and Its Acoustics in Birds and Bats." Integrative and Comparative Biology 60, no. 5 (2020): 1080–90. http://dx.doi.org/10.1093/icb/icaa085.

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Synopsis Animal flight noise can serve as an inspiration to engineering solutions to wind-noise problems in planes or wind turbines. Here we investigate the acoustics of wingbeats in birds and bats by co-registering wing-movement in natural flight with acoustic noise. To understand the relationships between wing movement and acoustics, we conducted additional acoustic measurements of single moving wings and other moving surfaces with accurately tracked motion paths. We found a correlation between wing-surface area and the sound pressure level of wingbeats; with bats tending to produce lower le

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O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. http://dx.doi.org/10.1098/rsos.181942.

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Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats used diverse flight strategies, but generally flew

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O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. https://doi.org/10.5281/zenodo.13440087.

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(Uploaded by Plazi for the Bat Literature Project) Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats

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O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. https://doi.org/10.5281/zenodo.13440087.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats

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6

O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. https://doi.org/10.5281/zenodo.13440087.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats

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7

O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. https://doi.org/10.5281/zenodo.13440087.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats

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8

O'Mara, M. Teague, Martin Wikelski, Bart Kranstauber, and Dina K. N. Dechmann. "Common noctules exploit low levels of the aerosphere." Royal Society Open Science 6, no. 2 (2019): 181942. https://doi.org/10.5281/zenodo.13440087.

Full text

Abstract:

(Uploaded by Plazi for the Bat Literature Project) Aerial habitats present a challenge to find food across a large potential search volume, particularly for insectivorous bats that rely on echolocation calls with limited detection range and may forage at heights over 1000 m. To understand how bats use vertical space, we tracked one to five foraging flights of eight common noctules ( Nyctalus noctula ). Bats were tracked for their full foraging session (87.27 ± 24 min) using high-resolution atmospheric pressure radio transmitters that allowed us to calculate height and wingbeat frequency. Bats

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9

Deakin, Michael A. B. "Formulae for Insect Wingbeat Frequency." Journal of Insect Science 10, no. 96 (2010): 1–9. http://dx.doi.org/10.1673/031.010.9601.

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10

PENNYCUICK, C. J. "Predicting Wingbeat Frequency and Wavelength of Birds." Journal of Experimental Biology 150, no. 1 (1990): 171–85. http://dx.doi.org/10.1242/jeb.150.1.171.

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Wingbeat frequencies were observed in the field for 32 morphologically diverse bird species, representing 18 families, and ranging in mass from 20 g to nearly 5 kg. A combination of multiple regression and dimensional analysis was used to show that wingbeat frequency (f) may be estimated by: f = 1.08(m1/3g1/2b−1S−1/4p−1/3 where m is the bird's body mass, g is the acceleration due to gravity, b is the wing span, S is the wing area and p is the air density. The predicted wingbeat frequency can be used to estimate the power available from a bird's flight muscles, and an estimate of the power requ

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Dissertations / Theses on the topic "Wingbeat frequency"

1

Britton, Adam Robert Corden. "Flight performance, echolocation and prey capture behaviour in trawling Myotis bats." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319104.

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Rivière, Bénédicte Aurélie. "Phenotypic Plasticity and Population-level Variation in Thermal Physiology of the Bumblebee 'Bombus impatiens'." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22719.

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Temperature variation affects most biological parameters from the molecular level to community structure and dynamics. Current studies on thermal biology assess how populations vary in response to environmental temperature, which can help determine how populations differentially respond to climate change. To date, temperature fluctuation effects on endothermic poikilotherms such as the common eastern bumblebee (Bombus impatiens) are unknown even though bumblebees are the most important natural pollinators in North America. A cold-acclimation experiment with B. impatiens colonies revealed indiv

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Mahalingam, Sajeni. "Neuromuscular Control of Aerodynamic Power Output via Changes in Wingbeat Kinematics in the Flight Muscles of Ruby-throated Hummingbirds (Archilochus colubris)." Thesis, 2012. http://hdl.handle.net/1807/33435.

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While producing the highest power output of any vertebrate, hovering hummingbirds must also precisely modulate the activity of their primary flight muscles to vary wingbeat kinematics and modulate lift production. By examining how electromyograms (EMGs) and wingbeat kinematics of hummingbirds change in response to varying aerodynamic power requirements during load lifting trials and air density reduction trials, we can better understand how aerodynamic power output is modulated via neuromuscular control. During both treatments increased lift was achieved through increased stroke amplitude, but

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Book chapters on the topic "Wingbeat frequency"

1

Shailaja, G., and N. Chari. "Wingbeat Frequency Theories—A Mathematical Approach." In Biophysics of Insect Flight. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5184-7_14.

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Toledo, Edmundo, Jose Gonzalez, Mariko Nakano, et al. "LSTM-Based Mosquito Genus Classification Using Their Wingbeat Sound." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210028.

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In this paper, we propose Long-Short Term Memory (LSTM)-based mosquito’s genus classification, in which the time-frequency features are extracted from the wingbeat sound of mosquitos of three genera, Aedes, Anopheles and Culex. The extracted features are fed into the proposed LSTM-based classifier. We evaluated three time-frequency features, which are: Mel Spectrogram, Log-Mel spectrogram, and Mel-frequency Cepstral Coefficients (MFCC). The proposed scheme is composed by two LSTM layers and one Fully Connected layer connected to a SoftMax activation function. The classification accuracies usin

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Jones, Gareth. "Does echolocation constrain the evolution of body size in bats?" In Miniature Vertebrates The Implications of Small Body Size. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198577874.003.0006.

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Abstract Most bats weigh less than 10 g. Megachiropterans are considerably heavier than microchiropterans, possibly because of their different ancestry or because they do not use laryngeal sonar. The predominance of medium-sized to small species of bats is compatible with general theories of extinction and speciation rates in relation to body size. There are few obvious links between diet and body size. It is more likely that biophysical factors associated with flight and/or echolocation constrain body size in bats. Models of flight power predict that flying vertebrates could weigh up to 12 kg

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Conference papers on the topic "Wingbeat frequency"

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Pizo, Gerardo. "Identification of the wingbeat frequency of mosquitoes using mathematical models." In 27^th Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2023. http://dx.doi.org/10.26678/abcm.cobem2023.cob2023-1930.

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Zihan, Ye, Li Weidong, Wang Rui, Zhang Fan, Wang Jiangtao, and Hu Cheng. "A novel insect wingbeat frequency extraction algorithm based on ambiguity function." In IET International Radar Conference (IRC 2023). Institution of Engineering and Technology, 2023. http://dx.doi.org/10.1049/icp.2024.1426.

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Evangelista, Ivan Roy S. "Bayesian Wingbeat Frequency Classification and Monitoring of Flying Insects Using Wireless Sensor Networks." In TENCON 2018 - 2018 IEEE Region 10 Conference. IEEE, 2018. http://dx.doi.org/10.1109/tencon.2018.8650550.

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Fonseca, Vinicius L. N., Fagner Cunha, Larissa Andrade, Juan G. Colonna, and David De Yong. "Classification of Tropical Disease-carrying Mosquitoes Using Deep Learning and SHAP." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbcas.2023.229406.

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In this paper, we present a novel technique for identifying mosquitoes that carry tropical diseases using Deep Learning and SHAP for model interpretability. We propose an end-to-end deep (E2E) Convolutional Neural Network (CNN) architecture that leverages mosquito wingbeat sounds to extract relevant features. To achieve high-performance audio processing, we integrate Kapre, an audio processing library optimized for GPU execution. Our approach also incorporates SHAP to provide a transparent explanation of the model’s predictions, enabling us to identify and characterize the time-frequency patte

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