Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xingpeng Ma"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8237 (2024)
Polyester-based, self-adhesive asphalt waterproofing membranes have garnered significant attention due to their extensive use in building-waterproofing projects, with their resistance to aging in complex environments being particularly crucial. This
Externí odkaz:
https://doaj.org/article/e3f34868de8b47588f22102d0d6bb9eb
Publikováno v:
Multidiscipline Modeling in Materials and Structures. 18:308-327
PurposeEmbedding carbon fiber reinforced plastics (CFRP) bars in the tension zone of reinforced concrete (RC) beams is a widely used reinforcement method, which has the advantages of strong anti-peel ability and high utilization of tensile materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae43c9c8e774486aa50d75de57747e28
https://doi.org/10.1108/mmms-12-2021-0196
https://doi.org/10.1108/mmms-12-2021-0196
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 7, Pp 1132-1144 (2024)
Abstract Beamforming is an effective way of resolving target direction and anti‐jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and
Externí odkaz:
https://doaj.org/article/4c1d084eb42a461ea4eff6101df3c563
Publikováno v:
Journal of Building Engineering. 65:105781
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794e0714b0a5377ba0031620b15c5189
https://doi.org/10.1016/j.jobe.2022.105781
https://doi.org/10.1016/j.jobe.2022.105781
Autor:
Xingpeng Ma, Long Liu
Publikováno v:
Construction and Building Materials. 372:130799
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79eab136f63094af3b5ba677f9b3effc
https://doi.org/10.1016/j.conbuildmat.2023.130799
https://doi.org/10.1016/j.conbuildmat.2023.130799
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3929 (2024)
High-frequency surface wave radar (HFSWR) is widely used for detecting sea surface or low-altitude targets due to its all-weather operation and over-the-horizon detection capability. To further enhance the maneuverability and detection range of HFSWR
Externí odkaz:
https://doaj.org/article/87452501ed704375938a837d8faf2f24
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 6, Pp 978-990 (2023)
Abstract In array signal processing, high‐resolution direction‐of‐arrival (DOA) estimation by eigendecomposition method requires knowledge of the array covariance matrix and an exact characterisation of the array. The dependence of most such me
Externí odkaz:
https://doaj.org/article/0fbe72ab098a44ee9e7cb7a6f2944276
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 5, Pp 748-758 (2023)
Abstract While the uniform linear array (ULA) is a well‐known array configuration being widely used in various practical application scenarios, it also encounters numerous challenges in the field of direction‐of‐arrival (DOA) estimation. Specif
Externí odkaz:
https://doaj.org/article/40a22ecd96e749d5add3d1f3352b9d71
Publikováno v:
Drones, Vol 8, Iss 1, p 3 (2023)
Accurate tracking and predicting unmanned aerial vehicle (UAV) trajectories are essential to ensure mission success, equipment safety, and data accuracy. Maneuverable UAVs exhibit complex and dynamic motion, and conventional tracking algorithms that
Externí odkaz:
https://doaj.org/article/76b73fa3c5bf4315aefce0811a615b5f
Performance analysis of deep neural networks for direction of arrival estimation of multiple sources
Publikováno v:
IET Signal Processing, Vol 17, Iss 3, Pp n/a-n/a (2023)
Abstract Recently, popular machine learning algorithms have successfully been applied to the direction of arrival (DOA) estimation. An implementation of determination of DOA estimation is presented based on deep neural networks (DNNs) to reduce the c
Externí odkaz:
https://doaj.org/article/a5a4dd71a8324370a87af587fceab09a