Zobrazeno 1 - 10
of 14 247
pro vyhledávání: '"Noise mitigation"'
Microperforated panels (MPPs) display excellent capacity in noise control applications owing to their high strength, simple design, and efficacy in low-frequency sound absorption. Traditionally, the development of MPPs has relied on a trial-and-error
Externí odkaz:
http://arxiv.org/abs/2410.05635
Autor:
Zhang, Yan-Lei, Li, Ming, Xu, Xin-Biao, Dong, Chun-Hua, Guo, Guang-Can, Xiang, Ze-Liang, Zou, Chang-Ling, Zou, and Xu-Bo
Quantum frequency converters that enable the interface between the itinerant photons and qubits are indispensable for realizing long-distance quantum network. However, the cascaded connection between converters and qubits usually brings additional in
Externí odkaz:
http://arxiv.org/abs/2411.13158
Autor:
Semenova, Nadezhda, Brunner, Daniel
Publikováno v:
Chaos 34, 051101 (2024)
In recent years, the hardware implementation of neural networks, leveraging physical coupling and analog neurons has substantially increased in relevance. Such nonlinear and complex physical networks provide significant advantages in speed and energy
Externí odkaz:
http://arxiv.org/abs/2411.04354
Bubble curtains are widely used to protect marine life from exposure to noise during offshore construction. However, operating a bubble curtain is costly. Therefore optimizing the acoustic effect of the available air is important. An interesting appr
Externí odkaz:
http://arxiv.org/abs/2410.14415
Ground-based gravitational wave detectors use laser interferometry to detect the minuscule distance change between test masses caused by gravitational waves. Stray light that scatters back into the interferometer causes transient signals that can cov
Externí odkaz:
http://arxiv.org/abs/2409.04266
Publikováno v:
2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
This paper introduces a novel portable and scalable Active Noise Mitigation (PSANM) system designed to reduce low-frequency noise from construction machinery. The PSANM system consists of portable units with autonomous capabilities, optimized for sta
Externí odkaz:
http://arxiv.org/abs/2409.10534
In this paper, we propose a framework to enhance the robustness of the neural models by mitigating the effects of process-induced and aging-related variations of analog computing components on the accuracy of the analog neural networks. We model thes
Externí odkaz:
http://arxiv.org/abs/2409.18553
Autor:
Wang, Haoran, Mai, Xinji, Tao, Zeng, Tong, Xuan, Lin, Junxiong, Wang, Yan, Yu, Jiawen, Wang, Boyang, Yan, Shaoqi, Zhao, Qing, Zhou, Ziheng, Gao, Shuyong, Zhang, Wenqiang
The contemporary state-of-the-art of Dynamic Facial Expression Recognition (DFER) technology facilitates remarkable progress by deriving emotional mappings of facial expressions from video content, underpinned by training on voluminous datasets. Yet,
Externí odkaz:
http://arxiv.org/abs/2406.16473
Autor:
Nguyen, Hoang-Quan, Nguyen, Xuan Bac, Chen, Samuel Yen-Chi, Churchill, Hugh, Borys, Nicholas, Khan, Samee U., Luu, Khoa
Parameterized Quantum Circuits (PQCs) have been acknowledged as a leading strategy to utilize near-term quantum advantages in multiple problems, including machine learning and combinatorial optimization. When applied to specific tasks, the parameters
Externí odkaz:
http://arxiv.org/abs/2406.00843