Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Guo‐Qiang Zeng"'
Autor:
Guo-Qiang Zeng, Shuang Qi, Peng Cheng, Sheng Lv, Fei Li, Xiao-Bo Wang, Bing-Hai Li, Qing-Ao Qin
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 8, Pp 3307-3314 (2024)
For traditional spent fuel shielding materials, due to physical and chemical defects and cost constraints, they have been unable to meet the needs. Therefore, this paper carries out the first discussion on the application and performance of bismuth i
Externí odkaz:
https://doaj.org/article/eba9a407c2304dc3ac43f77826b8a81d
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Most studies had shown a linear relationship between serum albumin (sALB) and the prevalence of diabetic retinopathy (DR). Thus, the purpose of this study is to investigate whether their relationship is non-linear. Methods We incl
Externí odkaz:
https://doaj.org/article/cc0ad11fbfa84c1087e64ad2b225e820
Publikováno v:
IET Cyber-systems and Robotics, Vol 6, Iss 2, Pp n/a-n/a (2024)
Abstract With the development of deep learning and federated learning (FL), federated intrusion detection systems (IDSs) based on deep learning have played a significant role in securing industrial control systems (ICSs). However, adversarial attacks
Externí odkaz:
https://doaj.org/article/211b176bf98842c7a845d1cff2c97029
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Blood urea nitrogen (BUN) is an indicator of renal function and catabolic status in human body. Diabetic retinopathy (DR) is a major microvascular complication of diabetes mellitus (DM) and a serious threat to the vision of diabetic patients
Externí odkaz:
https://doaj.org/article/2bbb198f14774f0784da7b7ea4283138
Publikováno v:
IET Cyber-systems and Robotics, Vol 5, Iss 1, Pp n/a-n/a (2023)
Abstract In recent years, deep learning has been applied to a variety of scenarios in Industrial Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep learning methods utilised in IIoT security are manually d
Externí odkaz:
https://doaj.org/article/6031c19b88ed445d8d174fbd2f0c7c60
Publikováno v:
IET Cyber-systems and Robotics, Vol 3, Iss 3, Pp 210-227 (2021)
Abstract The expected penetration of renewable sources is driving the islanded microgrid towards uncertainties, which have highly influence the reliability and complexities of frequency control. To alleviate the influence caused by load fluctuations
Externí odkaz:
https://doaj.org/article/4447f70cd73b4659b0f89f20c0b12459
Publikováno v:
Complexity, Vol 2020 (2020)
As the actuator faults in an industrial process cause damage or performance deterioration, the design issue of an optimal controller against these failures is of great importance. In this paper, a fractional-order predictive functional control method
Externí odkaz:
https://doaj.org/article/442f53bfee8742fe8a5b449ae55d2abb
Publikováno v:
IEEE Access, Vol 4, Pp 7621-7632 (2016)
How to design an effective and efficient double closed-loop proportional-integral (PI) controller for a three-phase inverter to obtain satisfied quality of output voltage waveform is of great practical significance. This paper presents a novel double
Externí odkaz:
https://doaj.org/article/42a6e5f461444dc68b1d77fc28b4bf2f
Publikováno v:
Energies, Vol 11, Iss 8, p 2107 (2018)
The optimal P-Q control issue of the active and reactive power for a microgrid in the grid-connected mode has attracted increasing interests recently. In this paper, an optimal active and reactive power control is developed for a three-phase grid-con
Externí odkaz:
https://doaj.org/article/37ef8b7013e84142b3f0972a66161858
Publikováno v:
Energies, Vol 10, Iss 11, p 1840 (2017)
As the penetration level of renewable distributed generations such as wind turbine generator and photovoltaic stations increases, the load frequency control issue of a multi-area interconnected power system becomes more challenging. This paper presen
Externí odkaz:
https://doaj.org/article/960d223cbd014819a5c29f09063c7c42