Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Amit Bhave"'
Autor:
Jethro Akroyd, Zachary Harper, David Soutar, Feroz Farazi, Amit Bhave, Sebastian Mosbach, Markus Kraft
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
This article develops an ontological description of land use and applies it to incorporate geospatial information describing land coverage into a knowledge-graph-based Universal Digital Twin. Sources of data relating to land use in the UK have been s
Externí odkaz:
https://doaj.org/article/949e8504a2b64064b55b674505c86200
Publikováno v:
Data-Centric Engineering, Vol 2 (2021)
This paper introduces a dynamic knowledge-graph approach for digital twins and illustrates how this approach is by design naturally suited to realizing the vision of a Universal Digital Twin. The dynamic knowledge graph is implemented using technolog
Externí odkaz:
https://doaj.org/article/3caf9fc0be5941dbbd79289821635a47
Autor:
Changmin Yu, Marko Seslija, George Brownbridge, Sebastian Mosbach, Markus Kraft, Mohammad Parsi, Mark Davis, Vivian Page, Amit Bhave
Publikováno v:
Data-Centric Engineering, Vol 1 (2020)
We apply deep kernel learning (DKL), which can be viewed as a combination of a Gaussian process (GP) and a deep neural network (DNN), to compression ignition engine emissions and compare its performance to a selection of other surrogate models on the
Externí odkaz:
https://doaj.org/article/ec93feb439744f0da39fe14e0350759b
Autor:
Amit Bhave, Mohammad Parsi, Vivian Page, Markus Kraft, Sebastian Mosbach, Mark Davis, Marko Seslija, Changmin Yu, George P.E. Brownbridge
Publikováno v:
Data-Centric Engineering. 1
We apply deep kernel learning (DKL), which can be viewed as a combination of a Gaussian process (GP) and a deep neural network (DNN), to compression ignition engine emissions and compare its performance to a selection of other surrogate models on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d364c8fb6f37cd4c087a3f2951ef0f
https://doi.org/10.1017/dce.2020.4
https://doi.org/10.1017/dce.2020.4
Autor:
Jörg Hammacher, Volker Flegel, Sebastian Mosbach, Christoph Dörr, Amit Bhave, Martin Blum, Gerd Röhrig, Markus Kraft, Markus Hofmeister
Publikováno v:
Applied Energy. 305:117877
District heating is expected to play an essential role in the cost-effective decarbonisation strategy of many countries. Resource-optimised management of district heating networks depends on a wide range of factors, including demand forecasting, oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f134d16436bedc2101b5327035b5594
https://doi.org/10.1016/j.apenergy.2021.117877
https://doi.org/10.1016/j.apenergy.2021.117877
© 2018 SAE International. All Rights Reserved. Digital engineering workflows, involving physico-chemical simulation and advanced statistical algorithms, offer a robust and cost-effective methodology for model-based internal combustion engine develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3eec106224986322a31e7469647602b
Autor:
Nick A. Eaves, Dumitru Duca, Sebastian Mosbach, Andreas Manz, Cristian Focsa, Jan N. Geiler, Kok Foong Lee, Jennifer A. Noble, Jiawei Lai, David Ooi, Amit Bhave
Publikováno v:
SAE International Journal of Advances & Current Practices in Mobility
Symposium on International Automotive Technology 2019
Symposium on International Automotive Technology 2019, Jan 2019, Pune, India. ⟨10.4271/2019-26-0062⟩
Symposium on International Automotive Technology 2019
Symposium on International Automotive Technology 2019, Jan 2019, Pune, India. ⟨10.4271/2019-26-0062⟩
International audience; to develop and test particle number (PN) emissions reduction strategies. The digital engineering workflow presented in this paper integrates the kinetics & SRM Engine Suite with parameter estimation techniques applicable to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd35f716d3c56b68cec9b4b5b3b96e6
Autor:
Daniel Nurkowski, Alastair Smith, Chung Ting Lao, Neal Morgan, Jethro Akroyd, Markus Kraft, Nickolas Eaves, Amit Bhave
Publikováno v:
Applied Energy. 267:114844
Exhaust After-Treatment (EAT) systems are necessary for automotive powertrains to meet stringent emission standards. Computational modelling has been applied to aid designing EAT systems. Models with global kinetic mechanisms are often used in practi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e714b339a6f99e1100c6cda57b6f8c2
https://doi.org/10.1016/j.apenergy.2020.114844
https://doi.org/10.1016/j.apenergy.2020.114844
Publikováno v:
Biomass Energy with Carbon Capture and Storage (BECCS): Unlocking Negative Emissions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c84bdf97489515709844e42a5a5000
https://doi.org/10.1002/9781119237716.ch5
https://doi.org/10.1002/9781119237716.ch5
Autor:
Manosh C. Paul, Markus Kraft, Umesh Kumar, Nicola Bianco, Amit Bhave, Daniel Nurkowski, Ahmed M. Salem, George P.E. Brownbridge
This paper presents a methodology that combines physicochemical modeling with advanced statistical analysis algorithms as an efficient workflow, which is then applied to the optimization and design of biomass pyrolysis and gasification processes. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc9f426844f40c9821a03a7b22a7168
https://eprints.gla.ac.uk/164113/7/164113.pdf
https://eprints.gla.ac.uk/164113/7/164113.pdf