Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Peng M"'
Autor:
Shevchenko V.F., Baranov Y.F., Bigelow T., Caughman J.B., Diem S., Dukes C., Finburg P., Hawes J., Gurl C., Griffiths J., Mailloux J., Peng M., Saveliev A.N., Takase Y., Tanaka H., Taylor G.
Publikováno v:
EPJ Web of Conferences, Vol 87, p 02007 (2015)
Start-up technique reported here relies on a double mode conversion (MC) for electron Bernstein wave (EBW) excitation. It consists of MC of the ordinary (O) mode, entering the plasma from the low field side of the tokamak, into the extraordinary (X)
Externí odkaz:
https://doaj.org/article/6823524737ed45a0a0ca555341a0036e
Autor:
Zhou Shuiying, Peng Miao
Publikováno v:
E3S Web of Conferences, Vol 512, p 01020 (2024)
People had to stay in their homes for long time during the pandemic like SARS or COVID-19. Under this experience, people put forward many opinions and suggestions on the current situation of urban residential architecture design and community plannin
Externí odkaz:
https://doaj.org/article/8b22f2d5c58748229cc477fc29eac9bb
Publikováno v:
ITM Web of Conferences, Vol 47, p 02036 (2022)
In this paper, a method based on convolution neural network and multi-camera fusion is proposed to improve the recognition accuracy of crowd and then the personnel distribution of subway station platform is analyzed. In this method, tensorflow is use
Externí odkaz:
https://doaj.org/article/7b98e182453942889364f0bcb294c039
Publikováno v:
ITM Web of Conferences, Vol 47, p 02037 (2022)
In this paper, three-dimensional ultrasonic anemometer and multi-channel anemometer have been used to monitor the flow field of a subway station in Beijing. Based on releasing sulfur hexafluoride (SF6) in the station hall, the gas transmission and di
Externí odkaz:
https://doaj.org/article/a1f11a6d5366464d85d19209f7feb8a7
Publikováno v:
MATEC Web of Conferences, Vol 336, p 06014 (2021)
The selection of the speech recognition modeling unit is the primary problem of acoustic modeling in speech recognition, and different acoustic modeling units will directly affect the overall performance of speech recognition. This paper designs the
Externí odkaz:
https://doaj.org/article/fa26fd6960ac4efab6c7b42b5f11d416
Publikováno v:
E3S Web of Conferences, Vol 243, p 01002 (2021)
Aiming at the uncertainty of fault type reasoning based on fault data in transformer fault diagnosis model, this paper proposed a hierarchical diagnosis model based on neighborhood rough set and XGBoost. The model used arctangent transformation to pr
Externí odkaz:
https://doaj.org/article/bf2ba8034a464797aac7b7ae1b70c19e
Autor:
Peng Mingxi
Publikováno v:
E3S Web of Conferences, Vol 251, p 01040 (2021)
Transformational leadership as one kind of management field increasingly affects the performance of an organization. The paper aims to explore the link between transformational leadership and team performance through big data approach, and examine wh
Externí odkaz:
https://doaj.org/article/e6209d6767694f0787025a7de0f06f6f
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Publikováno v:
MATEC Web of Conferences, Vol 108, p 10006 (2017)
Power transformer is one of the most important equipment in power system. In order to predict the potential fault of power transformer and identify the fault types correctly, we proposed a transformer fault intelligent diagnosis model based on chemic
Externí odkaz:
https://doaj.org/article/7b5162d068f04e629d6c6b81973156da
Autor:
chen Naiwei, Peng Mingxu
Publikováno v:
MATEC Web of Conferences, Vol 44, p 02062 (2016)
The study aims to examine the trading strategies of institutional investors in limit order book market. The study modifies assumptions of prior studies [1,2] to match actual situations or facilitate calculations. First, to match actual situations or
Externí odkaz:
https://doaj.org/article/254c1319bfb949939545935e22656d1f