Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Xiaogang, Deng"'
Autor:
Yaming Chen, Xiaogang Deng
Publikováno v:
Advances in Aerodynamics, Vol 6, Iss 1, Pp 1-17 (2024)
Abstract Weighted compact nonlinear schemes (WCNS) are a family of nonlinear shock capturing schemes that are suitable for solving problems with discontinuous solutions. The schemes are based on grids staggered by flux points and solution points, res
Externí odkaz:
https://doaj.org/article/48174f1d53124776804257e237787db7
Publikováno v:
International Journal of Aerospace Engineering, Vol 2024 (2024)
Aerodynamic modeling and control law design methods are crucial foundational technologies that enable efficient maneuvering flight of aircraft. Hence, this study focuses on how to construct the aerodynamic model and design control law using machine l
Externí odkaz:
https://doaj.org/article/3fbbb9536dc84ad4bcc6b5cd90d45a5a
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundNeoadjuvant chemoradiotherapy (neo-CRT) plus surgery has greatly improved the prognosis of locally advanced esophageal cancer (EC) patients. But which factors may influence the pathological tumor response and long-term survival remains uncl
Externí odkaz:
https://doaj.org/article/79492b6170014c339baa39518ac3d77f
Publikováno v:
IEEE Access, Vol 8, Pp 35864-35872 (2020)
To cope with the soft sensor modeling of unobserved multimode nonlinear processes, this paper proposes a modified kernel partial least squares (KPLS) by integrating latent factor clustering (LFC), called LFC-KPLS. In the proposed method, the process
Externí odkaz:
https://doaj.org/article/4c8efceeaf35452ba73c32c52e51e7f0
Publikováno v:
IEEE Access, Vol 8, Pp 37775-37789 (2020)
When all process variables are used to establish one data-based model, some variables have little contributions to the model. When these variables are grouped into a small local variable set to develop a data-based model, their contributions will bec
Externí odkaz:
https://doaj.org/article/52f82affbef34af58b3abad6a14ae110
Publikováno v:
IEEE Access, Vol 8, Pp 181192-181204 (2020)
In order to mine the local behavior and dynamic characteristic of batch process data for effective process monitoring, a two-dimensional localized dynamic support vector data description (TLDSVDD) method is proposed in this article. The main contribu
Externí odkaz:
https://doaj.org/article/96e3fb18778a4f6e82a22b421ba80aaa
Autor:
Yujiang Zhang, Caiyi Du, Guorui Feng, Honghui Yuan, Xiaogang Deng, Ronggang Zhang, Renle Zhao, Yuxia Guo
Publikováno v:
Geofluids, Vol 2022 (2022)
In recent years, with the increase of depth and intensity of coal mining, geological disasters in deep engineering occur frequently. It is essential to study the law of subsidence of overburden after mining for analyzing the mechanism and control of
Externí odkaz:
https://doaj.org/article/1551bbb7bb334c629806fc5818b2e77a
Publikováno v:
Advances in Aerodynamics, Vol 1, Iss 1, Pp 1-24 (2019)
Abstract This paper presents an engineering-oriented UGKS solver package developed in China Aerodynamics Research and Development Center (CARDC). The solver is programmed in Fortran language and uses structured body-fitted mesh, aiming for predicting
Externí odkaz:
https://doaj.org/article/21f06c2461da43979597913fe6335485
Publikováno v:
IEEE Access, Vol 7, Pp 50897-50911 (2019)
Slow feature analysis (SFA) has been adopted for control performance monitoring (CPM) recently. However, due to the selection criterion of the dominant slow features (SFs) and the performance monitoring statistics, the traditional SFA-based CPM metho
Externí odkaz:
https://doaj.org/article/f2f29e00e9344d17907d026d9c7e7383
Publikováno v:
IEEE Access, Vol 7, Pp 122192-122204 (2019)
Statistical local kernel principal component analysis (SLKPCA) has demonstrated its success in incipient fault detection of nonlinear industrial processes by incorporating the statistical local analysis (SLA) technology. However, the basic SLKPCA met
Externí odkaz:
https://doaj.org/article/a3c7aed3575945d18beb798f3beea08c