Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mercedes Carnero"'
Autor:
Carolina Salto, Gabriela Minetti, Hugo Alfonso, Erica Zurita, Jose Hernandez, Mercedes Carnero
Publikováno v:
Chemical Engineering Transactions, Vol 100 (2023)
Water is becoming an essential commodity for human life and is one of the most important natural resources. Public water utilities provide more than 90 percent of the world's water supply today, so a safe water distribution system is critical for any
Externí odkaz:
https://doaj.org/article/081157ea9f9e47f980cffa21adbb63c9
Autor:
Gabriela F. Minetti, José Hernandez, Mercedes Carnero, Carolina Salto, Carlos Bermudez, Mabel Sanchez
Publikováno v:
Journal of Computer Science and Technology, Vol 20, Iss 1, Pp e03-e03 (2020)
Sensor network design problem (SNDP) in process plants includes the determination of which process variables should be measured to achieve a required degree of knowledge about the plant. We propose to solve the SNDP problem in plants of increasing si
Externí odkaz:
https://doaj.org/article/55ffd3c955804255a0c3834fe9b3acdf
Publikováno v:
Chemical Engineering Transactions, Vol 74 (2019)
Process information is the foundation upon which many common tasks in chemical plants are based. To satisfy information requirements regarding its quality and availability, it is essential to locate an appropriate set of instruments or sensor network
Externí odkaz:
https://doaj.org/article/1054bc04690c4ea88df190a679fed5bb
Publikováno v:
Algorithms, Vol 2, Iss 1, Pp 259-281 (2009)
In this work the optimal design of sensor networks for chemical plants is addressed using stochastic optimization strategies. The problem consists in selecting the type, number and location of new sensors that provide the required quantity and qualit
Externí odkaz:
https://doaj.org/article/cb6d522d11244d0b9499d7d6fe7669f8
Publikováno v:
CLEI Electronic Journal, Vol 12, Iss 3 (2009)
The optimal location of sensors involves the selection of type, number and location of sensors from a set of available instruments with certain values of cost, precision and reliability. The optimal design not only satisfies economic criteria, but al
Externí odkaz:
https://doaj.org/article/72516e5b705d4548ac7a842f089da1dc
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323958790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1374a5ccf74c6c980629e51a6656995
https://doi.org/10.1016/b978-0-323-95879-0.50215-0
https://doi.org/10.1016/b978-0-323-95879-0.50215-0
Autor:
Carolina Salto, Mercedes Carnero, Mabel Sánchez, Gabriela F. Minetti, Carlos Bermúdez, José Alberto Hernández
Publikováno v:
Journal of Computer Science and Technology, Vol 20, Iss 1, Pp e03-e03 (2020)
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Sensor network design problem (SNDP) in process plants includes the determination of which process variables should be measured to achieve a required degree of knowledge about the plant. We propose to solve the SNDP problem in plants of increasing si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64742997bbf223324aa5059111e3f6b
http://sedici.unlp.edu.ar/handle/10915/97201
http://sedici.unlp.edu.ar/handle/10915/97201
The aim of this work is to analyze and determine an efficient and flexible resolution methodology to address the design of a minimum cost instrument network subject to restrictions over a set of key variables. In this sense, a Monte Carlo Simulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adfd886c0e47caf336b2d5e078c105a4
https://doi.org/10.1016/b978-0-12-823377-1.50074-4
https://doi.org/10.1016/b978-0-12-823377-1.50074-4
The optimal selection of sensor structures improves the knowledge of the current plant state, which is a central issue for the decision-making process. Instrumentation design is a challenging optimization problem that involves a huge amount of binary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d79e43390ca5cd132b0428dc05ba010
https://pubs.acs.org/doi/abs/10.1021/acs.iecr.8b01680
https://pubs.acs.org/doi/abs/10.1021/acs.iecr.8b01680
Autor:
Gema Bello-Orgaz, Mabel Sánchez, Mercedes Carnero, Ángel Panizo, José Alberto Hernández, David Camacho
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2018 ISBN: 9783030034955
IDEAL (2)
IDEAL (2)
The sensor network design problem (SNDP) consists of the selection of the type, number and location of the sensors to measure a set of variables, optimizing a specified criteria, and simultaneously satisfying the information requirements. This proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727f44e5ae4fdb36b2afa1fdc1afc175
https://doi.org/10.1007/978-3-030-03496-2_35
https://doi.org/10.1007/978-3-030-03496-2_35