Zobrazeno 1 - 10
of 98
pro vyhledávání: '"James Brusey"'
Autor:
Brandi Jess, James Brusey, Matteo Maria Rostagno, Alberto Maria Merlo, Elena Gaura, Kojo Sarfo Gyamfi
Publikováno v:
Frontiers in Mechanical Engineering, Vol 8 (2022)
Car-cabin thermal systems, including heated seats, air-conditioning, and radiant panels, use a large proportion of the energy budget of electric vehicles and thus reduce their effective range. Optimising these systems and their controllers might be p
Externí odkaz:
https://doaj.org/article/04baf1cc23db4d4ba8a31143bb2acf6e
Publikováno v:
Energies, Vol 13, Iss 15, p 3857 (2020)
Since 2003, Brazil has striven to provide energy access to all, in rural areas, in an effort to economically empower the communities. Unpacking fuel stacking behaviour can shed light onto the speed of transition toward the exclusive use of advanced f
Externí odkaz:
https://doaj.org/article/3324216965df42e39052daf586c19041
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 2, Iss 8 (2016)
The current machine learning algorithms in fall detection, especially those that use a sliding window, have a high computational cost because they need to compute the features from almost all samples. This computation causes energy drain and means th
Externí odkaz:
https://doaj.org/article/08454113801e4695b63f6d5fefdcc1e1
Publikováno v:
Sensors, Vol 18, Iss 1, p 20 (2017)
The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segmentation techniques in machine learning-based fall detection using accelerometer sensors. However, th
Externí odkaz:
https://doaj.org/article/71e942b5eb9943af87f07fdb9677a0c7
Autor:
Chunyang Lei, Hongxia Bie, Gengfa Fang, Elena Gaura, James Brusey, Xuekun Zhang, Eryk Dutkiewicz
Publikováno v:
Sensors, Vol 16, Iss 7, p 1108 (2016)
Super dense wireless sensor networks (WSNs) have become popular with the development of Internet of Things (IoT), Machine-to-Machine (M2M) communications and Vehicular-to-Vehicular (V2V) networks. While highly-dense wireless networks provide efficien
Externí odkaz:
https://doaj.org/article/3a42442acba84302bbbde6f54f1c548a
Publikováno v:
Web of Science
An inherent problem of reinforcement learning is performing exploration of an environment through random actions, of which a large portion can be unproductive. Instead, exploration can be improved by initializing the learning policy with an existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29c9005293677eba009e704d03ab6c1
http://arxiv.org/abs/2208.10533
http://arxiv.org/abs/2208.10533
Autor:
Nadjim Horri, Nicolas Merlinge, James Brusey, Enzo Iglesis, Hélène Piet-Lahanier, Karim Dahia
Publikováno v:
IFAC-PapersOnLine. 53:756-763
Sensor or actuator faults occurring on a Unmanned Aerial Vehicle (UAV) can compromise the system integrity. Fault diagnosis methods is then becoming a required feature for those systems. In this paper, the focus is on fault estimation for a fixed-win
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a18730ac6a0afe5a371907674490233
https://doi.org/10.1016/j.ifacol.2020.12.827
https://doi.org/10.1016/j.ifacol.2020.12.827
Nonlinear Estimation of Sensor Faults With Unknown Dynamics for a Fixed Wing Unmanned Aerial Vehicle
Publikováno v:
2021 International Conference on Unmanned Aircraft Systems (ICUAS)
ICUAS 2021
ICUAS 2021, Jun 2021, Athènes, Greece. ⟨10.1109/ICUAS51884.2021.9476852⟩
ICUAS 2021
ICUAS 2021, Jun 2021, Athènes, Greece. ⟨10.1109/ICUAS51884.2021.9476852⟩
International audience; In this paper, the estimation of additive inertial navigation sensor faults with unknown dynamics is considered with application to the longitudinal navigation and control of a fixed wing unmanned aerial vehicle. The faulty me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3befdd254e14c9adfca5525bf9e858a
https://doi.org/10.1109/icuas51884.2021.9476852
https://doi.org/10.1109/icuas51884.2021.9476852
Publikováno v:
IEEE International Conference on Prognostics and Heath Management (IPCPHM) 2021
IEEE International Conference on Prognostics and Heath Management (IPCPHM) 2021, Jun 2021, Détroit, United States
ICPHM
IEEE International Conference on Prognostics and Heath Management (IPCPHM) 2021, Jun 2021, Détroit, United States
ICPHM
International audience; The advances in aircraft autonomy have led to an increased demand for robust sensor and actuator fault detection and estimation methods in challenging situations including the onset of ambiguous faults. In this paper, we consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52518b0e76f744ebfe4327801c105306
https://hal.archives-ouvertes.fr/hal-03341209/document
https://hal.archives-ouvertes.fr/hal-03341209/document
Publikováno v:
Expert Systems with Applications. 128:124-139
A number of algorithms now exist for using model-based prediction at the sensor node of a wireless sensor network (WSN) to enable a dramatic reduction in transmission rates, and thus save energy at the sensor node. These approaches, however, sometime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c54839b6070f12950c2c1ed377f0e7b
https://doi.org/10.1016/j.eswa.2019.03.022
https://doi.org/10.1016/j.eswa.2019.03.022