Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Lilan Liu"'
Publikováno v:
Drones, Vol 8, Iss 9, p 449 (2024)
Unmanned aerial vehicle (UAV) communication using non-orthogonal multiple access-based coordinated direct and relay transmission (NOMA-CDRT) supports both massive connectivity and wide-area coverage, becoming a key technology for future emergency res
Externí odkaz:
https://doaj.org/article/04f649c15324487fa4a6ab9786ed9a3a
Publikováno v:
Advanced Science, Vol 10, Iss 26, Pp n/a-n/a (2023)
Abstract The accomplishment of condition monitoring and intelligent maintenance for cantilever structure‐based energy harvesting devices remains a challenge. Here, to tackle the problems, a novel cantilever‐structure freestanding triboelectric na
Externí odkaz:
https://doaj.org/article/4feb328c32d64495b2f45d41ca6c1a57
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Efficient and reliable transportation of goods through trucks is crucial for road logistics. However, the overloading of trucks poses serious challenges to road infrastructure and traffic safety. Detecting and preventing truck overloading is of utmos
Externí odkaz:
https://doaj.org/article/c8447094d45443988b41d72316bb5db4
Publikováno v:
Sensors, Vol 23, Iss 16, p 7302 (2023)
Federated learning has attracted much attention in fault diagnosis since it can effectively protect data privacy. However, efficient fault diagnosis performance relies on the uninterrupted training of model parameters with massive amounts of perfect
Externí odkaz:
https://doaj.org/article/e7cba273c0324a3ebf01f9021ea25e3f
Publikováno v:
Shock and Vibration, Vol 2023 (2023)
During the launch process of an electromagnetic railgun, the armature is subjected to the ampere force and moves along the rail with variable acceleration. In this period, the rail is excited by time varying moving loads and generates lateral vibrati
Externí odkaz:
https://doaj.org/article/774071bc2f3945ef85639faaf88fe37e
Autor:
Tong Li, Lizhen Cui, Lilan Liu, Hui Wang, Junfu Dong, Fang Wang, Xiufang Song, Rongxiao Che, Congjia Li, Li Tang, Zhihong Xu, Yanfen Wang, Jianqing Du, Yanbin Hao, Xiaoyong Cui
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
As global change continues to intensify, the mode and rate of nitrogen input from the atmosphere to grassland ecosystems had changed dramatically. Firstly, we conducted a systematic analysis of the literature on the topic of nitrogen deposition impac
Externí odkaz:
https://doaj.org/article/98f642ae314441f89827667c66f0b584
Publikováno v:
Sensors, Vol 23, Iss 15, p 6719 (2023)
Quality-related prediction in the continuous-casting process is important for the quality and process control of casting slabs. As intelligent manufacturing technologies continue to evolve, numerous data-driven techniques have been available for indu
Externí odkaz:
https://doaj.org/article/8a6aa283b67f4cd88c1058b7b35dcef3
An Approach to Integrated Scheduling of Flexible Job-Shop Considering Conflict-Free Routing Problems
Publikováno v:
Sensors, Vol 23, Iss 9, p 4526 (2023)
This study proposes an approach to minimize the maximum makespan of the integrated scheduling problem in flexible job-shop environments, taking into account conflict-free routing problems. A hybrid genetic algorithm is developed for production schedu
Externí odkaz:
https://doaj.org/article/ea243085a65545fe9efe0cc9e47b8986
Publikováno v:
Sensors, Vol 22, Iss 19, p 7282 (2022)
During the assembly process of the rear axle, the assembly quality and assembly efficiency decrease due to the accumulation errors of rear axle assembly torque. To deal with the problem, we proposed a rear axle assembly torque online control method b
Externí odkaz:
https://doaj.org/article/b84d5c578fd445b2ac48bccc1347d379
Publikováno v:
Sensors, Vol 22, Iss 17, p 6391 (2022)
Due to the rapid development of industrial internet technology, the traditional manufacturing industry is in urgent need of digital transformation, and one of the key technologies to achieve this is multi-source data fusion. For this problem, this pa
Externí odkaz:
https://doaj.org/article/4955f948542b47ef95e1a326100b83ca