Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Qunyan Ren"'
Autor:
Hanhao Zhu, Yangyang Xue, Qunyan Ren, Xu Liu, Jiahui Wang, Zhiqiang Cui, Shu Zhang, Huili Fan
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Underwater acoustic technology is essential for ocean observation, exploration and exploitation, and its development is based on an accurate predication of underwater acoustic wave propagation. In shallow sea environments, the geoacoustic parameters,
Externí odkaz:
https://doaj.org/article/5d7bcf3f54c244ed98f4a9abb86c4dec
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 3, p 561 (2023)
The relationship between modal elevation angle and the relative arrival time between modes, derived from exploiting modal dispersion, provides source information that is less susceptible to environmental influences. However, the standard method based
Externí odkaz:
https://doaj.org/article/a80a6154fa3b4329b0ef3f1a6c95c7c6
Publikováno v:
Sensors, Vol 21, Iss 9, p 3109 (2021)
A modified convolutional neural network (CNN) is proposed to enhance the reliability of source ranging based on acoustic field data received by a vertical array. Compared to the traditional method, the output layer is modified by outputting Gauss reg
Externí odkaz:
https://doaj.org/article/9e6f5ce9af3e4855987c5ac7a7c594e9
Autor:
Ole Grøn, Lars Ole Boldreel, Morgan F. Smith, Shawn Joy, Rostand Tayong Boumda, Andreas Mäder, Niels Bleicher, Bo Madsen, Deborah Cvikel, Björn Nilsson, Arne Sjöström, Ehud Galili, Egon Nørmark, Changqing Hu, Qunyan Ren, Philippe Blondel, Xing Gao, Petra Stråkendal, Antonio Dell’Anno
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 445 (2021)
Acoustic response from lithics knapped by humans has been demonstrated to facilitate effective detection of submerged Stone Age sites exposed on the seafloor or embedded within its sediments. This phenomenon has recently enabled the non-invasive dete
Externí odkaz:
https://doaj.org/article/f716c332763442498551677b48ab5708
Publikováno v:
JASA express letters. 1(10)
Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but
Autor:
Huaigang Cao, Qunyan Ren
Publikováno v:
JASA express letters. 2(5)
A direction of arrival (DOA) estimation method based on a convolutional neural network (CNN) using an acoustic vector sensor is proposed to distinguish multiple surface ships in a selected frequency band. The cross-spectrum of the pressure and partic
Publikováno v:
The Journal of the Acoustical Society of America. 153:2393
The you-only-look-once (YOLO) model identifies objects in complex images by framing detection as a regression problem with spatially separated boundaries and class probabilities. Object detection from complex images is somewhat similar to underwater
Publikováno v:
The Journal of the Acoustical Society of America. 148:3633-3644
Multiple approaches for depth estimation in deep-ocean environments are discussed. First, a multispectral transformation for depth estimation (MSTDE) method based on the low-spatial-frequency interference in a constant sound speed is derived to estim
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
The 15th International Conference on Underwater Networks & Systems.