Zobrazeno 1 - 10
of 21
pro vyhledávání: '"F. J. Vaquero"'
Autor:
D. J. Ives, S. Yan, L. Galdino, R. Wang, D. J. Elson, Y. Wakayama, F. J. Vaquero-Caballero, G. Saavedra, D. Lavery, R. Nejabati, P. Bayvel, D. Simeonidou, S. J. Savory
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The management of wavelength routed optical mesh networks is complex with many potential light path routes and numerous physical layer impairments to transmission performance. This complexity can be reduced by applying the ideas of abstracti
Externí odkaz:
https://doaj.org/article/134f580667f2455f9256937afe0a3462
Autor:
David J. Ives, Polina Bayvel, Dimitra Simeonidou, Reza Nejabati, Yuta Wakayama, Shuangyi Yan, Rui Wang, Seb J. Savory, Lidia Galdino, Domanic Lavery, F. J. Vaquero-Caballero, Daniel J. Elson, Gabriel Saavedra
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Ives, D J, Yan, S, Galdino, L, Wang, R, Elson, D J, Wakayama, Y, Vaquero-Caballero, F J, Saavedra, G, Lavery, D, Nejabati, R, Bayvel, P, Simeonidou, D & Savory, S J 2021, ' Distributed Abstraction and Verification of an Installed Optical Fibre Network ', Scientific Reports, vol. 11, no. 1, 10750 . https://doi.org/10.1038/s41598-021-89976-w
Scientific Reports
Ives, D J, Yan, S, Galdino, L, Wang, R, Elson, D J, Wakayama, Y, Vaquero-Caballero, F J, Saavedra, G, Lavery, D, Nejabati, R, Bayvel, P, Simeonidou, D & Savory, S J 2021, ' Distributed Abstraction and Verification of an Installed Optical Fibre Network ', Scientific Reports, vol. 11, no. 1, 10750 . https://doi.org/10.1038/s41598-021-89976-w
Scientific Reports
The management of wavelength routed optical mesh networks is complex with many potential light path routes and numerous physical layer impairments to transmission performance. This complexity can be reduced by applying the ideas of abstraction from c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94c06890825cac8a59fbee6316be8d00
https://www.repository.cam.ac.uk/handle/1810/322012
https://www.repository.cam.ac.uk/handle/1810/322012
Autor:
L, Mediavilla-Santos, M, García-Sevilla, J A, Calvo-Haro, M T, Ruiz Alba, R, Pérez-Mañanes, J, Pascau González, M, Cuervo Dehesa, F J, Vaquero Martín
Publikováno v:
Revista espanola de cirugia ortopedica y traumatologia. 66(5)
Pelvic ring tumors pose a challenge due to the difficulty in obtaining adequate surgical margins. Tools such as surgical navigation or 3D printing for the fabrication of patient-specific surgical positioning templates help in preoperative planning an
We present a framework for enhancing Gaussian process regression machine learning models with a priori knowledge derived from models of the transmission physics in optical networks. This is done by framing the regression problem as multi-task learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2b452e7f023bffb254b437caf8aefc
https://www.repository.cam.ac.uk/handle/1810/326984
https://www.repository.cam.ac.uk/handle/1810/326984
Autor:
Victor Estuardo León-Román, David García-Mato, F J Vaquero-Martín, Pablo Sanz-Ruiz, Irene Isabel Lopez-Torres, José Antonio Calvo-Haro, Javier Pascau
Publikováno v:
Journal of orthopaedic research : official publication of the Orthopaedic Research SocietyREFERENCES. 39(7)
The real degree of constriction of rotating hinge knee (RHK) and condylar constrained prostheses (CCK) is a matter of discussion in revision knee arthroplasty. The objectives of this study are to compare the tibial rotation of both implants and valid
Autor:
G. Saavedrar, F. J. Vaquero-Caballero, Shuangyi Yan, Seb J. Savory, Dimitra Simeonidou, Rui Wang, Domanic Lavery, Polina Bayvel, Daniel J. Elson, Lidia Galdino, Reza Nejabati, David J. Ives
Publikováno v:
Ives, D J, Yan, S, Galdino, L, Elson, D J, Vaquero-Caballero, F J, Saavedrar, G, Wang, R, Lavery, D, Nejabati, R, Bayvel, P, Simeonidou, D & Savory, S J 2019, A Comparison of Impairment Abstractions by Multiple Users of an Installed Fiber Infrastructure . in 2019 Optical Fiber Communications Conference and Exhibition, OFC 2019-Proceedings ., 8696495, 2019 Optical Fiber Communications Conference and Exhibition, OFC 2019-Proceedings, Optical Society of America (OSA), 2019 Optical Fiber Communications Conference and Exhibition, OFC 2019, San Diego, United States, 3/03/19 . https://doi.org/10.1364/OFC.2019.M4J.4
OFC
OFC
We compare three independent impairment abstractions of an installed fibre infrastructure. Abstractions agreed to within 1.3dB despite being obtained from different nodes using different terminal equipment. Validation using a DWDM virtual topology wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0db5116c07dbbe61222185dba7d0554c
http://www.scopus.com/inward/record.url?scp=85065477040&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85065477040&partnerID=8YFLogxK
Autor:
Michael Andrew Reimer, Charles Laperle, Robert J. Vincent, Maurice O'Sullivan, Andrew D. Shiner, D. Charlton, David J. Ives, F. J. Vaquero-Caballero, Seb J. Savory
Publikováno v:
OFC
The impact of CPE the estimation linear and nonlinear noises is studied. Using previously reported second-order statistical metrics, CPE increases the maximum error from 0.16dB to 0.59dB whereas alternative metrics give 0.26dB independent of CPE.
Publikováno v:
OFC
© 2018 OSA. A dark fiber network was partially abstracted utilizing network monitors, prior information and a single probe channel. Validation employed 13×200Gb·s-1 DWDM signals transmitted at the optimum launch power, with measured performance 0.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac0a961a0e288b0520b98abdea9320aa
Autor:
Seb J. Savory, F. J. Vaquero Caballero
Publikováno v:
2018 IEEE Photonics Society Summer Topical Meeting Series (SUM).
In this paper, we discuss a machine learning based approach to jointly estimating both linear and nonlinear noise contributions in an optical fiber communication link. We will expound the rational for utilizing machine learning for this problem, befo
Publikováno v:
OFC
A novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulations obtaining a std error of 0.23 dB for both ASE and non-linear SNR.