Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Dini Wang"'
Publikováno v:
Materials & Design, Vol 228, Iss , Pp 111832- (2023)
The stress corrosion of pipeline steel was promoted by sulfate-reducing bacteria (SRB). However, the mechanism of SRB promoting stress corrosion is not clear. In this study, the effects of constant load, geometrical parameters and multi-pitting on st
Externí odkaz:
https://doaj.org/article/08531d3f43274592b91929c78ecf076e
Autor:
Shuhuan Wei, Dini Wang
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3466 (2023)
The uniformity principle of temperature difference fields (TDFs) is applied in this study to improve the constructal optimization for “volume-point” heat conduction based on entransy dissipation rate (EDR) minimization without the premise of an o
Externí odkaz:
https://doaj.org/article/7ad0821fab614c0e8f1453f27e0441ec
Publikováno v:
IEEE Access, Vol 8, Pp 14234-14243 (2020)
We present a sum of squares (SOS) method for the synthesis of nonlinear polynomial control systems. As an emerging numerical solution method in recent years, SOS targets polynomials as the research object. It guarantees that the polynomial we solve f
Externí odkaz:
https://doaj.org/article/ab4e9d157a1c4eb7b05767f01c3fe290
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3943 (2022)
Remote sensing image scene classification (RSISC), which aims to classify scene categories for remote sensing imagery, has broad applications in various fields. Recent deep learning (DL) successes have led to a new wave of RSISC applications; however
Externí odkaz:
https://doaj.org/article/8b9e00c11ae74afdb0bb7766bd43c7ab
Publikováno v:
Complexity, Vol 2021 (2021)
User location prediction in location-based social networks can predict the density of people flow well in terms of intelligent transportation, which can make corresponding adjustments in time to make traffic smooth, reduce fuel consumption, reduce gr
Externí odkaz:
https://doaj.org/article/2df2f81b89754091a8788617a66e8cde
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 3, p 205 (2022)
Crowd anomaly detection is a practical and challenging problem to computer vision and VideoGIS due to abnormal events’ rare and diverse nature. Consequently, traditional methods rely on low-level reconstruction in a single image space, easily affec
Externí odkaz:
https://doaj.org/article/5aea0c0183aa4d07ba51cda090f289f9
Publikováno v:
Complexity, Vol 2020 (2020)
Flexible solar panels play an essential role in the field of aerospace. However, many difficulties appear in the control design due to the existence of a weakly damped resonance module. The design for flexible systems often causes an unstable control
Externí odkaz:
https://doaj.org/article/9989d4b855984d49a7f1a18c36e3c65b
Autor:
Yi Zeng, Dini Wang, Xiang Xiong, Xun Zhang, Philip J. Withers, Wei Sun, Matthew Smith, Mingwen Bai, Ping Xiao
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
Hypersonic and aerospace applications motivate development of materials with improved resistance against ablation and oxidation at high temperatures. Here authors demonstrate a quaternary carbide, where sealing by surface oxides, slow oxygen diffusio
Externí odkaz:
https://doaj.org/article/c326454769a84b51a044d6d2fdb40f48
Publikováno v:
Complexity, Vol 2019 (2019)
The Hamilton–Jacobi–Issacs (HJI) inequality is the most basic relation in nonlinear H∞ design, to which no effective analytical solution is currently available. The sum of squares (SOS) method can numerically solve nonlinear problems that are n
Externí odkaz:
https://doaj.org/article/a88c797d77c943b5948c7488e252b7c1
Autor:
Kun Bi, Dini Wang, Rui Dai, Lei Liu, Yan Wang, Yongfeng Lu, Yiliang Liao, Ling Ding, Houlong Zhuang, Qiong Nian
Publikováno v:
Nanoscale. 14:4762-4769
Partial reduction of graphene oxide results in vacancy defects. The growth of these atomic vacancies to nanosized holes under peroxide etching is studied for efficient holey graphene manufacturing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2064fd67788918d519f5e29a918352dd
https://doi.org/10.1039/d1nr08437b
https://doi.org/10.1039/d1nr08437b