Zobrazeno 1 - 10
of 26
pro vyhledávání: '"David Hyland"'
Publikováno v:
Modelling, Vol 5, Iss 1, Pp 392-409 (2024)
This paper investigates the robustness of a single 3D volumetric corner-supported module made of square hollow-section (SHS) columns. Typically, the moment–rotation (M-θ) behaviour of connections within the module (intra-module) is assumed to be f
Externí odkaz:
https://doaj.org/article/255e79a4db634ae7883e8f337b90423a
Publikováno v:
The Journal of The British Blockchain Association, Vol 1, Iss 1, Pp 25-31 (2018)
Blockchain and blockchain-related technologies are being rapidly invented to the point that it is difficult to define specifically which properties are necessary to constitute a blockchain. It may therefore seem far too early to meaningfully discuss
Externí odkaz:
https://doaj.org/article/cfbf81a45fad43db89bbcd8ed9a14d10
Autor:
Dominik Tomaszuk, David Hyland-Wood
Publikováno v:
Symmetry, Vol 12, Iss 1, p 84 (2020)
Resource Description Framework (RDF) can seen as a solution in today’s landscape of knowledge representation research. An RDF language has symmetrical features because subjects and objects in triples can be interchangeably used. Moreover, the regul
Externí odkaz:
https://doaj.org/article/3963480e20a340319c391ab3d8c9475e
Autor:
Peter Robinson, Christopher Hare, Chris Lewicki, Brett Henderson, Roberto Saltini, David Hyland-Wood, Sandra Johnson
Publikováno v:
Journal of Aerospace Information Systems. 17:554-561
Blockchain technologies have demonstrated new and interesting ways to construct terrestrial economies, including the well-known public cryptocurrencies, but also as a means to facilitate business-t...
Publikováno v:
Universal Journal of Educational Research. 7:1306-1318
In industrialised nations, we take for granted that knowledge is acquired and shared through a written medium, and yet the actual task of writing remains a hard skill to master. In this paper, we present a blueprint for the integration of artificial
Publikováno v:
Advanced Engineering Informatics. 40:121-134
Predictive maintenance is the monitoring of an asset’s condition over its life cycle to provide a prognosis for when maintenance is required. Prior to prognosis, an asset’s life cycle is modeled by a health indicator (HI) which is derived from se
Publikováno v:
Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019) ISBN: 9781839531453
Integration of space-based communications infrastructure within 5G networks presents specific challenges for spacecraft, namely a necessary rationalization of currently patchy communications security and the assurance of identity when conducting high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03d686ea08a17a84a6cf1498855609f
https://doi.org/10.1049/pbte095e_ch53
https://doi.org/10.1049/pbte095e_ch53
Autor:
David Hyland-Wood, Sandra Johnson
Publikováno v:
Computer Networks. 207:108861
Publikováno v:
INDIN
This paper presents a machine learning-based dimension reduction framework (ML-framework). The ML-framework is designed to circumvent the challenges of high-dimensional discontinuous machine data applied in machine learning-based predictive maintenan
Publikováno v:
INDIN
The unexpected failure of modern industrial systems is often managed using data-driven predictive maintenance (PdM) tools that continuously monitor a system’s health condition (HC) through raw sensor data to predict impending malfunction. However,