Zobrazeno 1 - 10
of 3 658
pro vyhledávání: '"Chen, Xiaoli"'
Die Aktivitäten zur Einführung der Industrie 4.0 in die produzierenden Unternehmen bringen eine Vielzahl von neuen Systemen mit sich und verändern die bisher dort vorhandenen Arbeitsumgebungen und Aufgaben. Zur Beherrschung der zunehmenden Komplex
Publikováno v:
Wissenschaftliche Schriftenreihe des Institutes für Betriebswissenschaften und Fabriksysteme ; Sonderheft 23, Arbeitswelten 4.0 - Chancen, Herausforderungen, Lösungen, TBI 2017 - 16. Tage des Betriebs- und Systemingenieurs, ISSN 0947-2495
Die europäische Fertigungsindustrie steht vor großen Veränderungen, die durch die zunehmende Nachfrage der Kunden nach maßgeschneiderten und/oder intelligenten Produkten, Industrie 4.0 Lösungen und Öffnung der Produktionsketten für Newcomer ge
Autor:
Chen, Xiaoli, Soh, Beatrice W., Ooi, Zi-En, Vissol-Gaudin, Eleonore, Yu, Haijun, Novoselov, Kostya S., Hippalgaonkar, Kedar, Li, Qianxiao
One of the most exciting applications of artificial intelligence (AI) is automated scientific discovery based on previously amassed data, coupled with restrictions provided by known physical principles, including symmetries and conservation laws. Suc
Externí odkaz:
http://arxiv.org/abs/2308.04119
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 9, Pp 1365-1375 (2024)
Abstract [Objective] The study aims to explore the effects of chemical fertilizer reduction and application of microbial fertilizers on growth and photosynthetic physiological characteristics of Lanzhou lily (Lilium davidii var. willmottiae), and t
Externí odkaz:
https://doaj.org/article/3321984505f24abf986a2340c4569fa9
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 284-288 (2024)
Objective The stray current generated during the operation of urban rail transit vehicles with rail backflow method will cause electrical corrosion to nearby metal objects, while the special rail return mode can solve such problems. It is necessary t
Externí odkaz:
https://doaj.org/article/5048a171585b4b4ea0001d979367aa55
Mathematical models for complex systems are often accompanied with uncertainties. The goal of this paper is to extract a stochastic differential equation governing model with observation on stationary probability distributions. We develop a neural ne
Externí odkaz:
http://arxiv.org/abs/2302.08036
Autor:
Yi, Zhiheng, Chen, Xiaoli
With the development of Internet technology, the issue of privacy leakage has attracted more and more attention from the public. In our daily life, mobile phone applications and identity documents that we use may bring the risk of privacy leakage, wh
Externí odkaz:
http://arxiv.org/abs/2211.09591
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 2, Pp 134-141 (2024)
Aeronautical electronic equipment, used for data collection during flight, is usually fixed to the nose radome using mounting brackets. The stiffness and first-order frequency performance of the mounting brackets is studied to avoid plastic deformati
Externí odkaz:
https://doaj.org/article/1b32363741054ad9849198481a8daef0
We propose a mesh-free method to solve nonconvex energy minimization problems for martensitic phase transitions and twinning in crystals, using the deep learning approach. These problems pose multiple challenges to both analysis and computation, as t
Externí odkaz:
http://arxiv.org/abs/2206.13937
Many complex real world phenomena exhibit abrupt, intermittent or jumping behaviors, which are more suitable to be described by stochastic differential equations under non-Gaussian L\'evy noise. Among these complex phenomena, the most likely transiti
Externí odkaz:
http://arxiv.org/abs/2203.16874