Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Daniel Gaida"'
Publikováno v:
Machine Learning for Cyber Physical Systems ISBN: 9783662627457
To demonstrate how deep learning can be applied to industrial applications with limited training data, deep learning methodologies are used in three different applications. In this paper, we perform unsupervised deep learning utilizing variational au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fb08970464f13e6cf594a9aacb342b8
https://doi.org/10.1007/978-3-662-62746-4_5
https://doi.org/10.1007/978-3-662-62746-4_5
Publikováno v:
Renewable and Sustainable Energy Reviews. 68:869-875
Over the last 40 years many different control methodologies for substrate feed control of anaerobic digestion processes have been proposed in order to increase plant efficiency and sustainable long-term energy production. This review shows that altho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d846ea702f9f750c076418204f50af
https://doi.org/10.1016/j.rser.2016.06.096
https://doi.org/10.1016/j.rser.2016.06.096
Publikováno v:
2017 DGON Inertial Sensors and Systems (ISS).
In this paper we describe a recursive filter for the fusion of inertial and visual measurements for self-positioning, where the sensors are attached rigidly to the moving person or object. The system is self-contained, requires no infrastructure and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d9b31ea9f1800e4f8aee5799159865c
https://doi.org/10.1109/inertialsensors.2017.8171505
https://doi.org/10.1109/inertialsensors.2017.8171505
Autor:
Daniel Gaida, Siva Sarathy, Manuela Antonelli, John C. Walton, Paris Neofotistos, Domenico Santoro, Yuri Lawryshyn, Andrea Canali, Andrea Turolla
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b092eb9f159f6204fc09c8e878de6d89
http://hdl.handle.net/11311/1038614
http://hdl.handle.net/11311/1038614
Publikováno v:
2016 UKACC 11th International Conference on Control (CONTROL).
In-situ characterisation of thermocouple sensors is a challenging problem. Recently the authors presented a blind characterisation technique based on the cross-relation method of blind identification. The method allows in-situ identification of two t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd2713d073a5aff34e9c3a4d276686d0
https://doi.org/10.1109/control.2016.7737558
https://doi.org/10.1109/control.2016.7737558
Publikováno v:
Gillespie, P D, Gaida, D, Hung, P C, Kee, R J & McLoone, S F 2016, ' A Bias Compensated Cross-Relation approach to Thermocouple Characterisation ', IFAC-PapersOnLine, vol. 49, no. 5, pp. 43-48 . https://doi.org/10.1016/j.ifacol.2016.07.087
The measurement of fast changing temperature fluctuations is a challenging problem due to the inherent limited bandwidth of temperature sensors. This results in a measured signal that is a lagged and attenuated version of the input. Compensation can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d71c45737e89010760bd06315a81fd7
https://pure.qub.ac.uk/en/publications/a-bias-compensated-crossrelation-approach-to-thermocouple-characterisation(162d9ee5-d816-4f12-92a6-d76747177e73).html
https://pure.qub.ac.uk/en/publications/a-bias-compensated-crossrelation-approach-to-thermocouple-characterisation(162d9ee5-d816-4f12-92a6-d76747177e73).html
Autor:
Daniel Gaida, André Stuhlsatz, M. Bongards, Thomas Bäck, J. Lippel, Christian Wolf, Seán McLoone, C. Meyer
Publikováno v:
Water Science and Technology. 66:1088-1095
The optimization of full-scale biogas plant operation is of great importance to make biomass a competitive source of renewable energy. The implementation of innovative control and optimization algorithms, such as Nonlinear Model Predictive Control, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca82edf1b78c4cf20e61bad80bdf5a4
https://doi.org/10.2166/wst.2012.286
https://doi.org/10.2166/wst.2012.286
Autor:
Olivier Bernard, Eric Latrille, Christian Wolf, T. Ribeiro, Daniel Zitomer, Hugo Oscar Méndez-Acosta, José Ferrer, Victor Alcaraz-Gonzalez, Fabian Jacobi, Sofiane Mazhegrane, Daniel Gaida, Julie Jimenez, Alan J. Guwy, Richard M. Dinsdale, Giuliano C. Premier, Dennis Totzke, André Pauss, Francis Mairet, Ángel Robles, Gonzalo Ruiz-Filippi, Henri Spanjers, Aurora Seco, Jérôme Harmand, Jean-Philippe Steyer
Publikováno v:
Reviews in Environmental Science and Bio/technology
Reviews in Environmental Science and Bio/technology, 2015, 14 (4), pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
Reviews in Environmental Science and Biotechnology
Reviews in Environmental Science and Biotechnology, Springer Verlag, 2015, 14, pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
Reviews in Environmental Science and Biotechnology, 14 (4), 2015
Reviews in Environmental Science and Bio/technology, Springer Verlag, 2015, 14 (4), pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Reviews in Environmental Science and Bio/technology, 2015, 14 (4), pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
Reviews in Environmental Science and Biotechnology
Reviews in Environmental Science and Biotechnology, Springer Verlag, 2015, 14, pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
Reviews in Environmental Science and Biotechnology, 14 (4), 2015
Reviews in Environmental Science and Bio/technology, Springer Verlag, 2015, 14 (4), pp.615-648. ⟨10.1007/s11157-015-9382-6⟩
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] To enhance energy production from methane or resource recovery from digestate, anaerobic digestion processes require advanced instrumentation and control tools. Over the years, research on these topics has evolved and followed the main fields of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d88a7be7963d556d5892dc6f600cb96a
https://inria.hal.science/hal-01256735
https://inria.hal.science/hal-01256735
Publikováno v:
CEC
This paper presents and analyses an engineered expected hypervolume improvement (EHVI) algorithm for solving the problem of PID parameter tuning and the optimization problem of controlling the substrate feed of a biogas plant. The EHVI is the expecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5b3b47455f0a65f6ee37f3b7ae285bd
https://doi.org/10.1109/cec.2015.7257122
https://doi.org/10.1109/cec.2015.7257122