Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ferran Mocholí"'
Autor:
Antonio Mocholí, Ferran Mocholí, Víctor Milián-Sánchez, José Guerra-Carmenate, Miguel E. Iglesias-Martínez, Pedro Fernández de Córdoba, Juan C. Castro-Palacio, Sarira Sahu, Juan A. Monsoriu, María Lorduy, Sergio Gallardo, Gumersindo Verdú, Valeriy A. Kolombet, Victor A. Panchelyuga
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract The present article is a continuation of our previous works on the anomalies in the decay rates and the capacitance measurements inside a modified Faraday cage. Here we present the anomalous variations in the measurements of inductance when
Externí odkaz:
https://doaj.org/article/8a27d877df234ad5b19025d94a31dc38
Autor:
Ferran Mocholí Belenguer, Antonio Mocholí Salcedo, Antonio Guill Ibañez, Victor Milián Sánchez
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0211626 (2019)
Due to their simplicity and operating mode, magnetic loops are one of the most used traffic sensors in Intelligent Transportation Systems (ITS). However, at this moment, their potential is not being fully exploited, as neither the speed nor the lengt
Externí odkaz:
https://doaj.org/article/015ad3de138e4ec997c5e3c37f87cc97
Autor:
Ferran Mocholí Belenguer, Antonio Martínez Millana, Antonio Mocholí Salcedo, Victor Milián Sánchez
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0218631 (2019)
Magnetic loops are one of the most popular and used traffic sensors because of their widely extended technology and simple mode of operation. Nevertheless, very simple models have been traditionally used to simulate the effect of the passage of vehic
Externí odkaz:
https://doaj.org/article/22b2f9466d8648428e1c4f5cf0dfc237
Autor:
Nieves Gallego Ripoll, Luís Enrique Gómez Aguilera, Ferran Mocholí Belenguer, Antonio Mocholí Salcedo, Francisco José Ballester Merelo
Publikováno v:
Sensors, Vol 21, Iss 6, p 2082 (2021)
The use of real-time vehicle detection and classification systems is essential for the accurate management of traffic and road infrastructure. Over time, diverse systems have been proposed for it, such as the widely known magnetic loops or microwave
Externí odkaz:
https://doaj.org/article/0b7e1c1ae86d4e9cae1cc9ca9b213ee6
Autor:
Ferran Mocholí Belenguer, Antonio Martínez-Millana, Antonio Mocholí Salcedo, Víctor Milián Sánchez, María Josefa Palomo Anaya
Publikováno v:
Symmetry, Vol 12, Iss 2, p 303 (2020)
There are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitatio
Externí odkaz:
https://doaj.org/article/9210b764f9a84fa98de2450e7adb0511
Autor:
Ferran Mocholí Belenguer, Antonio Mocholí Salcedo, Victor Milián Sánchez, José Humberto Arroyo Núñez
Publikováno v:
Journal of Advanced Transportation, Vol 2018 (2018)
Due to their simplicity and operating mode, magnetic loops are one of the most used traffic sensors in Intelligent Transportation Systems (ITS). However, at this moment, their potential is not being fully exploited, as neither the speed nor the lengt
Externí odkaz:
https://doaj.org/article/d47144afe8df40ed9fc662ca32deca4b
Autor:
Antonio Mocholi-Salcedo, Antonio Martinez-Millana, Ferran Mocholí Belenguer, Francisco Sales Castells Ramón
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:2956-2965
One of the largest problems with electric vehicles is that they often go unnoticed by pedestrians due to the absence of noticeable noise generated by electric motors, which is a potential cause of accidents and collisions. Surprisingly, this positive
Autor:
Antonio Mocholí Salcedo, Ferran Mocholí Belenguer, Luis Enrique Gomez Aguilera, Francisco Jose Ballester Merelo, Nieves Gallego Ripoll
Publikováno v:
Sensors
Volume 21
Issue 6
Sensors (Basel, Switzerland)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sensors, Vol 21, Iss 2082, p 2082 (2021)
Volume 21
Issue 6
Sensors (Basel, Switzerland)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Sensors, Vol 21, Iss 2082, p 2082 (2021)
[EN] The use of real-time vehicle detection and classification systems is essential for the accurate management of traffic and road infrastructure. Over time, diverse systems have been proposed for it, such as the widely known magnetic loops or micro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1655cc7ff1f8e27019ade4b1dc8a6b12
https://doi.org/10.3390/s21062082
https://doi.org/10.3390/s21062082
Autor:
Antonio Martinez-Millana, Ferran Mocholí Belenguer, Antonio Mocholí Salcedo, José Humberto Arroyo Núñez
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] At present, many detectors installed on both urban and interurban roads are capable of extracting information from vehicles such as speed, length or direction of traffic. However, very few sensors are currently able to communicate and exchange i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3709d1ac6d2c78e32c72c716d267c9c
https://doi.org/10.1109/tits.2019.2948221
https://doi.org/10.1109/tits.2019.2948221
Autor:
Ferran Mocholí Belenguer, Victor A. Panchelyuga, Gumersindo Verdú, Juan Carlos Castro-Palacio, Valeriy A. Kolombet, Pedro Fernández de Córdoba, Antonio Mocholi-Salcedo, V. Milián-Sánchez, Felix Scholkmann, Miguel E. Iglesias-Martinez
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Mathematics, Vol 8, Iss 3, p 344 (2020)
Mathematics
Volume 8
Issue 3
instname
Mathematics, Vol 8, Iss 3, p 344 (2020)
Mathematics
Volume 8
Issue 3
In this work, we analyzed time-series of background radiation inside a multilayer interleaving structure, geomagnetic activity and cosmic-ray activity using the Pearson correlation coefficient and a new correlation measure based on the one-dimensiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d22b1d98cdd15e4f0ac1bd1242b1ca99