Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Tadeusz Dobrowiecki"'
Publikováno v:
SUMO Conference Proceedings, Vol 5 (2024)
Vehicular federated learning systems will be beneficial to predicting traffic events in future intelligent cities. However, they might leak private information upon model updates. Hence, an honest but curious server could infer private information, s
Externí odkaz:
https://doaj.org/article/9a8aedbda44842fa94cad1620952c07c
Publikováno v:
SUMO Conference Proceedings, Vol 4 (2023)
In transportation, a vehicle's route is one of the most private information. However, to mutually learn some phenomena in a city, for example, parking lot occupancies, we might have to reveal information about it. In this paper, we focus on assessing
Externí odkaz:
https://doaj.org/article/585a77ed84e9419ca0e82abf1ec82459
Publikováno v:
SUMO Conference Proceedings, Vol 1 (2022)
Traffic congestions cause many environmental, economic and health issues. If we are unable to completely get rid of them, the least we shall try to do is to move them outside of residential areas. In this paper, a novel signal coordination method
Externí odkaz:
https://doaj.org/article/1a935db33e1244c6a4f8d8b820be8392
Publikováno v:
SUMO Conference Proceedings, Vol 2 (2022)
The present paper shows how a novel autonomous vehicle (AV) algorithm can be tested and evaluated by multiple simulations with different levels of refinement. As the first AVs will appear on our roads (possibly) within the upcoming decade, novel t
Externí odkaz:
https://doaj.org/article/a8a3a2f42f6948b78b1dbe7cf5207b4a
Publikováno v:
IFAC-PapersOnLine. 55:7-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b4f2d470d08b114914b19f5216cbd3
https://doi.org/10.1016/j.ifacol.2022.07.575
https://doi.org/10.1016/j.ifacol.2022.07.575
With the rapid evolution of Internet-of-Things (IoT) devices and the emergence of Autonomous Vehicles (AVs), machine learning processes pose a growing privacy issue. Federated learning (FL) and current cryptography can mitigate this problem; however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afcf88455a1608bb4a92800098d1caeb
https://doi.org/10.21203/rs.3.rs-2072660/v1
https://doi.org/10.21203/rs.3.rs-2072660/v1
Autor:
Tadeusz Dobrowiecki
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:907-915
Random phase multisines tend asymptotically, with an increasing number of harmonics and irrespective of their spectral coloring, to the Gaussian amplitude distribution and can be used as an alternative to Gaussian signals to measure the best linear a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5f6722adbbad50373e0f7a73720fcb
https://doi.org/10.1109/tim.2019.2906333
https://doi.org/10.1109/tim.2019.2906333
Publikováno v:
Infocommunications journal. 12:57-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be9d86c933e831c37c46c140d84a42d
https://doi.org/10.36244/icj.2020.2.8
https://doi.org/10.36244/icj.2020.2.8
In the overview paper on nonlinear system identification Schoukens and Ljung (2019), it was indicated that reliable expressions to calculate the variance of an estimated nonlinear model are lacking, especially if the disturbing noise is entering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b984f3bb47f8eefca198bd8e1f322980
https://hdl.handle.net/20.500.14017/39b5c52e-e50f-4923-ab76-9a942ee47535
https://hdl.handle.net/20.500.14017/39b5c52e-e50f-4923-ab76-9a942ee47535
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b5af0d7f50a10567efe7bdb71c4ae6
https://doi.org/10.1109/ivworkshops54471.2021.9669251
https://doi.org/10.1109/ivworkshops54471.2021.9669251