Q-Routing with Multiple Soft Requirements

Autor: Reza Nejabati, Douglas Harewood-Gill, Trevor P Martin

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI

Q-routing is a promising approach to finding routes in software-defined networks. This paper describes (i) the extension of Q-routing to find paths satisfying multiple Quality of Service metrics such as bandwidth and latency, and (ii) the use of fuzz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::179c894dd1f984a3c45c11a9b6264841
https://doi.org/10.1007/978-3-030-87094-2_6

The Performance of Q-Learning within SDN Controlled Static and Dynamic Mesh Networks

Autor: Reza Nejabati, Trevor P. Martin, Douglas Harewood-Gill

Publikováno v: NetSoft
Harewood-Gill, D, Martin, T & Nejabati, R 2020, The Performance of Q-Learning within SDN Controlled Static and Dynamic Mesh Networks . in IEEE Conference on Network Softwarization (NetSoft) . 6th edn, vol. IEEE Conference on Network Softwarization (NetSoft), Institute of Electrical and Electronics Engineers (IEEE), pp. 185-189, IEEE Conference on Network Softwarization, 29/06/20 . https://doi.org/10.1109/NetSoft48620.2020.9165530

Current infrastructures are reaching the point where existing networking methods are unable to cope with the exponential growth of traffic and Quality of Service (QoS) requirements. New techniques are necessary to keep pace. One such technique, Softw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::863a53634ca500874fa091c8ad354490
https://doi.org/10.1109/netsoft48620.2020.9165530

Graded Concepts for Collaborative Intelligence

Autor: Trevor P. Martin, Ben Azvine

Publikováno v: Martin, T & Azvine, B 2019, Graded Concepts for Collaborative Intelligence . in Proceedings-2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ., 8616439, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Institute of Electrical and Electronics Engineers (IEEE), pp. 2589-2594, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 7/10/18 . https://doi.org/10.1109/SMC.2018.00443
SMC

Collaborative intelligence involves a combination of human and machine-based analysis, in which humans focus on higher-level tasks involving insight and understanding, whilst machines deal with gathering, filtering and processing data into a convenie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f47f85fd055df900863e9e59910b0095
https://hdl.handle.net/1983/539a0167-b44c-4a55-9312-d2116a76693e

GaN surface sputter damage investigated using deep level transient spectroscopy

Autor: Matthew P. Halsall, Vladimir P. Markevich, Simon Hammersley, Xiaoyan Tang, I. D. Hawkins, Iain F. Crowe, Trevor P. Martin, Tony Peaker

Publikováno v: Materials Science in Semiconductor Processing. 126:105654

For nominally identical GaN Schottky diodes prepared by resistive thermal evaporation and plasma sputter deposition, diodes prepared by sputter deposition were found to exhibit a clear increase in the reverse leakage current, which is about two order

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b93637c334f276f32f46d8159dd15c03
https://doi.org/10.1016/j.mssp.2020.105654

'Kink' in AlGaN/GaN-HEMTs:Floating buffer model

Autor: Serge Karboyan, Martin Kuball, Michael J. Uren, Trevor P. Martin, Hareesh Chandrasekar, Manikant Singh

Publikováno v: Singh, M, Uren, M, Martin, T, Karboyan, S, Chandrasekar, H & Kuball, M 2018, ' 'Kink' in AlGaN/GaN-HEMTs : Floating buffer model ', IEEE Transactions on Electron Devices, vol. 65, no. 9, 8432505, pp. 3746-3753 . https://doi.org/10.1109/TED.2018.2860902

We report on a floating buffer model to explain 'kink,' a hysteresis in the output characteristics of Fe-doped AlGaN/GaN HEMTs observed at low drain bias. Unintentionally doped background carbon can make the GaN buffer p-type allowing it to electrica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b23bf1837cfaeb8a76967259df18e815
https://hdl.handle.net/1983/97fbc534-0b5c-476f-b2c7-5bc6c61c9a8d