Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Neil S. O'Brien"'
Autor:
Thomas Kluyver, Hans Fangohr, Neil S. O'Brien, Ondrej Hovorka, Arti Kashyap, Nicholas Hale, Anil Prabhakar
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504359
ICCS (7)
ICCS (7)
We describe a method of automatic feedback provision for students learning computational science and data science methods in Python. We have implemented, used and refined this system since 2009 for growing student numbers, and summarise the design an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8077e98f1c75cc39c69b204f683ef6c
https://doi.org/10.1007/978-3-030-50436-6_45
https://doi.org/10.1007/978-3-030-50436-6_45
Carbon fiber-reinforced polymers (CFRPs) are of interest to the aerospace sector for meeting future CO2 emission targets due to their weight reduction potential. However, the detection of structural and matrix defects is crucial for determining the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0c18a5383efe814def8a2a44d0a4345
https://eprints.soton.ac.uk/415613/
https://eprints.soton.ac.uk/415613/
Autor:
Sam Hawker, Ian Sinclair, Neil S. O'Brien, Mark Mavrogordato, Richard P. Boardman, Thomas Blumensath
Publikováno v:
Case Studies in Nondestructive Testing and Evaluation. 6:56-61
We compare the quality of reconstruction obtainable using various laminographic system trajectories that have been described in the literature, with reference to detecting defects in composite materials in engineering. We start by describing a lamina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddcdf4e6a6b39a85ec0ef07dfd63b846
https://doi.org/10.1016/j.csndt.2016.05.004
https://doi.org/10.1016/j.csndt.2016.05.004
Image reconstruction of tomographic data relies on the precise knowledge of the geometric properties of the scan system. Common tomography systems, such as rotational tomography, C-arm systems, helical scanners, or tomosynthesis scanners, generally u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13618f4ad2d1aa916d382a6350f1c9bd
https://eprints.soton.ac.uk/415612/
https://eprints.soton.ac.uk/415612/
Publikováno v:
Engineering Analysis with Boundary Elements. 37:1594-1601
Local radial basis functions (RBFs) are becoming increasingly popular as an alternative to global RBFs, as the latter suffer from ill-conditioning. In this paper, a local meshless method based on RBFs in a finite-difference (FD) mode with better cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98e83f8fe1ca44e464fb107dbcc4ef51
https://doi.org/10.1016/j.enganabound.2013.08.018
https://doi.org/10.1016/j.enganabound.2013.08.018
X-ray computed tomography is a well established volume imaging technique used routinely in medical diagnosis, industrial non-destructive testing, and a wide range of scientific fields. Traditionally, computed tomography uses scanning geometries with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fed445ca5347b97d92172f863accf9df
https://eprints.soton.ac.uk/395413/
https://eprints.soton.ac.uk/395413/
Autor:
Mark Scott, James T. Cox, Simon J. Cox, Richard P. Boardman, Steven J. Johnston, Neil S. O'Brien
In this paper, we report on our "Iridis-Pi" cluster, which consists of 64 Raspberry Pi Model B nodes each equipped with a 700 MHz ARM processor, 256 Mbit of RAM and a 16 GiB SD card for local storage. The cluster has a number of advantages which are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3b66efbc31affb2e21e300e7f2644ac
https://eprints.soton.ac.uk/362918/
https://eprints.soton.ac.uk/362918/
Publikováno v:
CyberC
We consider the application of cloud computing to the process of algorithm development. We introduce a case study focusing on the development of a novel algorithm in computational electromagnetics, illustrating several challenging areas for algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edbab86f95e47709d39f004272c0a690
https://eprints.soton.ac.uk/196835/
https://eprints.soton.ac.uk/196835/
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications. 2(1):2
In this paper we report upon the cloud-based solution that we designed and implemented for space situational awareness. We begin by introducing the background to the work and to the area of space situational awareness. This concerns tracking the hund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d10fdcfd93b92c4aece00f8b50c27c