Results 41 to 50 of about 1,348,870 (188)

Ship Shaft Frequency Extraction Based on Improved Stacked Sparse Denoising Auto-Encoder Network

Applied Sciences, 2022
The modulation spectrum of ship radiated noise contains information on shaft frequency, which is an important feature used to identify ships and a key parameter involved in calculating the number of propeller blades.
Junshuai Ni, Mei Zhao, Changqing Hu, Guotao Lv, Zheng Guo   +4 more
doaj   +1 more source

Ten challenges in measuring and reporting ship noise levels [PDF]

JASA Express Letters, 2022
In 2000, the authors published an article by Arveson and Vendittis [JASA 107, 118–129 (2000)] that described measurements of the radiated noise of a cargo ship measured by the U.S. Navy.
David J. Vendittis, Paul T. Arveson
doaj   +1 more source

Integrated optimization of underwater acoustic ship-radiated noise recognition based on two-dimensional feature fusion [PDF]

, 2019
(#br)Feature fusion methods are introduced to ship-radiated noise recognition in this paper. Wavelet packet (WP) decomposition is used to decompose the ship-radiated noise into multiple different subbands.
Xiaoquan Ke, En Cheng, Fei Yuan
core   +1 more source

Underwater Acoustic Target Recognition Based on Attention Residual Network

Entropy, 2022
Underwater acoustic target recognition is very complex due to the lack of labeled data sets, the complexity of the marine environment, and the interference of background noise.
Juan Li, Baoxiang Wang, Xuerong Cui, Shibao Li, Jianhang Liu   +4 more
doaj   +1 more source

Mechanically‐Gated Stochastic Resonance for All‐Optical Acoustic Sensing in Noisy Environments

Advanced Science, EarlyView.
A mechanically‐gated stochastic resonance (MGSR) sensing system is demonstrated, wherein stochastic resonance is enabled by an all‐optical bistable fiber Bragg grating feedback loop and gated by mechanical resonance. Under ambient noise, the system generates bistable outputs satisfying the Kramers escape‐rate condition, yielding signal‐to‐noise ratio ...
Xuyu Zhang, Minzheng Sun, Cunzheng Fan, Shuolong Zhu, Qilin Hong, Pan Xu, Min Zhu, Zhengliang Hu, Yongchao Zou, Qizhen Sun   +9 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

Prediction at harvest and detection at the ready‐to‐eat stage of internal black flesh severity in mangoes using portable Vis–NIR spectroscopy

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Although previous studies have demonstrated that visible–near infrared (Vis–NIR) spectroscopy can accurately predict black flesh incidence at harvest and detect the disorder in ready‐to‐eat mango fruit, its ability to discriminate among severity levels has not yet been established.
Bruna Parente de Carvalho Pires, Jasciane da Silva Alves, Luana Ferreira dos Santos, Ana Géssica Fernandes da Silva, Tiffany da Silva Ribeiro, Kerry Brian Walsh, Sergio Tonetto de Freitas   +6 more
wiley   +1 more source

Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj, Per Dahlgren, Máté Mile   +2 more
wiley   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard, Alain Beaulne, Mark Buehner, Laurence Coursol   +3 more
wiley   +1 more source

Compression of a Deep Competitive Network Based on Mutual Information for Underwater Acoustic Targets Recognition

Entropy, 2018
The accuracy of underwater acoustic targets recognition via limited ship radiated noise can be improved by a deep neural network trained with a large number of unlabeled samples.
Sheng Shen, Honghui Yang, Meiping Sheng
doaj   +1 more source