Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Xinquan, Chen"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Wireless sensing-based human-vehicle recognition (WiHVR) methods have become a hot spot for research due to its non-invasiveness and cost-effective advantages. However, existing WiHVR methods shows limited performance and slow execution time on human
Externí odkaz:
https://doaj.org/article/8e4e61e13ba648b48153d6e3d2a38941
Publikováno v:
IEEE Access, Vol 8, Pp 18669-18680 (2020)
To achieve better control performance, a comprehensive control parameter design method that considers economics, stability and dynamic performance is essential for hybrid multi-terminal HVDC systems. In this paper, a hierarchical model for the contro
Externí odkaz:
https://doaj.org/article/f98d1fc24db243829a9ae3dea5128c55
Autor:
Jiajia Liu, Dagang Tao, Xinquan Chen, Linyuan Shen, Li Zhu, Bingrong Xu, Hailong Liu, Shuhong Zhao, Xinyun Li, Xiangdong Liu, Shengsong Xie, Lili Niu
Publikováno v:
Viruses, Vol 14, Iss 4, p 833 (2022)
Porcine enteric coronaviruses have caused immense economic losses to the global pig industry, and pose a potential risk for cross-species transmission. The clinical symptoms of the porcine enteric coronaviruses (CoVs) are similar, making it difficult
Externí odkaz:
https://doaj.org/article/7168a0cb9cd74e72b29c22016b6e800b
Autor:
Mingxin Song, Liangliang Lou, Xinquan Chen, Xiaoming Zhao, Yuanyuan Hong, Shiqing Zhang, Wei He
Publikováno v:
IEEE Sensors Journal. 23:2803-2814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df297be6fb3031900897256690d8cdf7
https://doi.org/10.1109/jsen.2022.3232243
https://doi.org/10.1109/jsen.2022.3232243
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 10, p 806 (2020)
Cutter suction dredgers are important pieces of rock excavation equipment in port and waterway construction. It is valuable but difficult to properly estimate the cutting force on the chisel pick of the cutter suction dredger. In this paper, an analy
Externí odkaz:
https://doaj.org/article/c1e67186b92a4cb1ae8bb799c29e6b86
Autor:
Yirou Qiu, Xinquan Chen
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 29:463-495
The first synchronization clustering (SynC) algorithm based on an extensive Kuromato model was presented in 2010. In 2017, an effective synchronization clustering (ESynC) algorithm, inspired by SynC algorithm and a linear version of Vicsek model, was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a85a70a48a764f958cd19667e774ce5
https://doi.org/10.1142/s0218488521500203
https://doi.org/10.1142/s0218488521500203
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 9:1655-1667
Compared with conventional HVDC systems, the hybrid multiterminal HVDC (Hybrid-MTDC) system has a more sophisticated network topology composed of line commutated converter (LCC) and modular multilevel converter (MMC) stations, which leads to dc fault
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::869cee3433daa5d4fe81b9ec87ab4440
https://doi.org/10.1109/jestpe.2020.2978262
https://doi.org/10.1109/jestpe.2020.2978262
Autor:
Xinquan Chen, Yirou Qiu
Publikováno v:
Applied Intelligence. 50:4063-4080
To conquer the shortcoming that general clustering methods cannot process big data in the main memory, this paper presents an effective multi-level synchronization clustering (MLSynC) method by using a framework of “divide and collect” and a line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85694f2331dd3e6c751cee46c80b9c4a
https://doi.org/10.1007/s10489-020-01767-4
https://doi.org/10.1007/s10489-020-01767-4
Publikováno v:
Theory and Practice of Science and Technology. 1:13-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fe3aa61daa351725a8f736c63e7857a
https://doi.org/10.47297/taposatwsp2633-456903.20200103
https://doi.org/10.47297/taposatwsp2633-456903.20200103
Publikováno v:
Information Processing & Management. 60:103233
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f96f9dec1352edfd278ce7307935dc
https://doi.org/10.1016/j.ipm.2022.103233
https://doi.org/10.1016/j.ipm.2022.103233