Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Xiaojin Zhao"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 792-797 (2022)
Reliability Options (ROs) are one type of Capacity Remuneration Mechanisms (CRMS) to meet generation adequacy requirement, and it has been applied in some power markets. When a power producer sells a RO, he will receive an option fee but have to sell
Externí odkaz:
https://doaj.org/article/fe84544bc1c843f28ad352033db07f9d
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11749 (2023)
As drones are widely employed in various industries and daily life, concerns regarding their safety have been gradually emerging. Denial of service (DoS) attacks have become one of the most significant threats to the stability of resource-constrained
Externí odkaz:
https://doaj.org/article/fc8f39f536314901be58e924cdcd93f7
Autor:
Shahid Mehmood, Faheem Ullah Khan, Muhmmad Naeem Shah, Junxian Ma, Yatao Yang, Guijun Li, Wei Xu, Xiaojin Zhao, Wei He, Xiaofang Pan
Publikováno v:
Frontiers in Chemistry, Vol 10 (2022)
Ternary composite with great modulation of electron transfers has attracted a lot of attention from the field of high-performance room-temperature (RT) gas sensing. Herein, walnut-like WO3-Ni–graphene ternary composites were successfully synthesize
Externí odkaz:
https://doaj.org/article/9807bc4e45f04a28b11601363e356801
Publikováno v:
Global Energy Interconnection, Vol 3, Iss 5, Pp 453-463 (2020)
With the increase in the power receiving proportion and an insufficient peak regulation capacity of the local units, the receiving-end power grid struggles to achieve peak regulation in valley time. To solve this problem while considering the potenti
Externí odkaz:
https://doaj.org/article/896cdd6c3a1b4c7ea3947252ddb0f01d
Autor:
Qiang Huo, Zhenhua Wu, Weixing Huang, Xingsheng Wang, Geyu Tang, Jiaxin Yao, Yongpan Liu, Xiaojin Zhao, Feng Zhang, Ling Li, Ming Liu
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 8, Pp 295-301 (2020)
This work presents a novel general compact model for 7-nm technology node devices like FinFETs as an extension of previous conventional compact model that based on some less accurate elements including one-dimensional Poisson equation for three-dimen
Externí odkaz:
https://doaj.org/article/58ccda7a8f744d05b568c35bd909bf77
Publikováno v:
IEEE Access, Vol 8, Pp 57451-57459 (2020)
In this paper, we present a hybrid denoising algorithm dedicated to division-of-focal plane (DoFP) polarization images. The proposed algorithm, centered around the Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD)
Externí odkaz:
https://doaj.org/article/923ed50f23d545a9b96abd46d59af37f
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 4, Pp 737-749 (2020)
Resilience against major disasters is the most essential characteristic of future electrical distribution systems (EDSs). A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper. When a blackout occurs
Externí odkaz:
https://doaj.org/article/3d9a988b7e014c08ac8b62aad8d53375
Publikováno v:
IEEE Access, Vol 8, Pp 34407-34417 (2020)
This paper develops a location optimization method about the metro-based underground logistics system (MULS) to transport freight by metro during off-peak periods. First, we make qualitative and quantitative feasibility analysis of the MULS through q
Externí odkaz:
https://doaj.org/article/7b4b1e54ef7b4916b3b1fe14b443f4c7
Autor:
Faheem Ullah Khan, Shahid Mehmood, Shiliang Liu, Wei Xu, Muhammad Naeem Shah, Xiaojin Zhao, Junxian Ma, Yatao Yang, Xiaofang Pan
Publikováno v:
Frontiers in Chemistry, Vol 9 (2021)
As formaldehyde is an extremely toxic volatile organic pollutant, a highly sensitive and selective gas sensor for low-concentration formaldehyde monitoring is of great importance. Herein, metal-organic framework (MOF) derived Pd/PdO@ZnO porous nanost
Externí odkaz:
https://doaj.org/article/85db128257154e22a4496bbcd17198c5
Publikováno v:
IEEE Access, Vol 7, Pp 12630-12637 (2019)
In this paper, we present a novel one-dimensional deep convolutional neural network (1D-DCNN) with a multi-label-way-based algorithm for comprehensively and automatically extracting features and classifying mixture gases. Although a number of pattern
Externí odkaz:
https://doaj.org/article/7b8fbe14d492441096ebd496661dc714