Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Gregory, Alastair"'
Autor:
Gregory, Alastair Logan
A quarter of the world's population experience wheezing. These sounds have been used for diagnosis since the time of the Ebers Papyrus (ca. 1500 BC), but the underlying physical mechanism responsible for the sounds is still poorly understood. The mai
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763770
Assimilation of continuously streamed monitored data is an essential component of a digital twin; the assimilated data are used to ensure the digital twin is a true representation of the monitored system. One way this is achieved is by calibration of
Externí odkaz:
http://arxiv.org/abs/2011.09810
An increasing amount of civil engineering applications are utilising data acquired from infrastructure instrumented with sensing devices. This data has an important role in monitoring the response of these structures to excitation, and evaluating str
Externí odkaz:
http://arxiv.org/abs/1904.06127
Autor:
Gregory, Alastair, Jana, Kaushik
This article proposes a space-efficient approximation to empirical tail dependence coefficients of an indefinite bivariate stream of data. The approximation, which has stream-length invariant error bounds, utilises recent work on the development of a
Externí odkaz:
http://arxiv.org/abs/1902.03586
Autor:
Gregory, Alastair
This thesis aims to investigate and improve the efficiency of ensemble transform methods for data assimilation, using an application of multilevel Monte Carlo. Multilevel Monte Carlo is an interesting framework to estimate statistics of discretized r
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745308
A recent development which is poised to disrupt current structural engineering practice is the use of data obtained from physical structures such as bridges, viaducts and buildings. These data can represent how the structure responds to various stimu
Externí odkaz:
http://arxiv.org/abs/1811.10882
Autor:
Gregory, Alastair
Empirical copula functions can be used to model the dependence structure of multivariate data. The Greenwald and Khanna algorithm is adapted in order to provide a space-memory efficient approximation to the empirical copula function of a bivariate st
Externí odkaz:
http://arxiv.org/abs/1805.05168
Statistical techniques play a large role in the structural health monitoring of instrumented infrastructure, such as a railway bridge constructed with an integrated network of fibre optic sensors. One possible way to reason about the structural healt
Externí odkaz:
http://arxiv.org/abs/1803.08444
Publikováno v:
Royal Society Open Science, 4, 171212 (2017)
We present a novel application of rotors in geometric algebra to represent the change of curvature tensor, that is used in shell theory as part of the constitutive law. We introduce a new decomposition of the change of curvature tensor, which has exp
Externí odkaz:
http://arxiv.org/abs/1710.11542
Publikováno v:
Royal Society Open Science, 4, 170065 (2017)
We present a novel derivation of the elastic theory of shells. We use the language of Geometric algebra, which allows us to express the fundamental laws in component-free form, thus aiding physical interpretation. It also provides the tools to expres
Externí odkaz:
http://arxiv.org/abs/1702.04554