Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Shuowei Jin"'
Publikováno v:
Entropy, Vol 26, Iss 8, p 696 (2024)
The complementary combination of emphasizing target objects in infrared images and rich texture details in visible images can effectively enhance the information entropy of fused images, thereby providing substantial assistance for downstream composi
Externí odkaz:
https://doaj.org/article/2679c94dbb444696b894a2b4b3bd28fe
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
The power detection of the distribution network is essential for reliable and secure distribution. In this paper, a flexible dual-threshold SVDD fault warning algorithm with fault samples is proposed to deal with problems concerning complex network t
Externí odkaz:
https://doaj.org/article/66b7a70a97b24e4b81389122954ae0cb
Publikováno v:
IEEE Access, Vol 8, Pp 145457-145468 (2020)
In this paper, robust finite-time H∞ filtering for uncertain switched systems with state constraints and multiple time delays is investigated. In this studied plant, there are nonlinear functions and exogenous disturbances. First, a filter is descr
Externí odkaz:
https://doaj.org/article/9391599c67c346db922457f7fa174fdd
Publikováno v:
Sustainability; Volume 15; Issue 13; Pages: 10127
This paper proposes a novel convolution–non-convolution parallel deep network (CNCP)-based method for electricity theft detection. First, the load time series of normal residents and electricity thieves were analyzed and it was found that, compared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::fad2395b8e0a882adb237bb00dc8af62
Autor:
Ahmad Hassan, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, Zhi-Li Zhang
Publikováno v:
Proceedings of the ACM SIGCOMM 2022 Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27e250634f77a07b393390a9c020f1c5
https://doi.org/10.1145/3544216.3544217
https://doi.org/10.1145/3544216.3544217
With the improvement of medical consumption level, patients have more and more demand for the prediction of treatment costs. However, the prediction accuracy of existing research methods is low when the amount of data is small. In order to solve this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2173c482483a02dda60e139e1e7218ea
https://doi.org/10.22541/au.164864671.14103887/v1
https://doi.org/10.22541/au.164864671.14103887/v1
Publikováno v:
Neural Computing and Applications. 33:6611-6626
This study is concerned with the problem of finite-time fault-tolerant control for uncertain semi-Markovian jump systems with input constraint and multiple time delays. There exist nonlinear functions, exogenous disturbances and measurement noise in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f749ae0e195befb04092c3f3dce43c4a
https://doi.org/10.1007/s00521-020-05423-3
https://doi.org/10.1007/s00521-020-05423-3
Publikováno v:
IET Circuits, Devices & Systems. 14:459-463
A high-precision measurement method, based on multiple sampling, is proposed for the time interval of two signals in this study. A time interval measurement circuit integrated into the time-to-digital converter (TDC), is designed based on this high-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e25b7663976e572da56af340d1a5aae7
https://doi.org/10.1049/iet-cds.2019.0242
https://doi.org/10.1049/iet-cds.2019.0242
Autor:
Feng Qian, Zhengxuan Yang, Xiaoxuan Zhang, Xiao Zhu, Ruiyang Zhu, Shuowei Jin, Zhuoqing Morley Mao, Zhi-Li Zhang, Xumiao Zhang, Ahmad Hassan, Denis Rybkin, Arvind Narayanan
Publikováno v:
SIGCOMM
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the performance, power consumption, and application quality-of-experience (QoE) of commercial 5G networks in the wild. We examine different 5G carriers, deployment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf31f676529668a1b85ceb3e3091b655
https://doi.org/10.1145/3452296.3472923
https://doi.org/10.1145/3452296.3472923
Publikováno v:
SIGMOD Conference
Modern database management systems (DBMS) contain tens to hundreds of critical performance tuning knobs that determine the system runtime behaviors. To reduce the total cost of ownership, cloud database providers put in drastic effort to automaticall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be689bf0a3f7b4c64b38f2a0187d10cc
https://doi.org/10.1145/3448016.3457291
https://doi.org/10.1145/3448016.3457291