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Mostrando ítems 1-17 de 17

A humid electronic nose based on pulse voltammetry: A proof-of-concept design

Bataller Prats, Román; Campos Sánchez, Inmaculada; Alcañiz Fillol, Miguel; Gil Sánchez, Luís; García Breijo, Eduardo; Martínez Mañez, Ramón; Pascual Vidal, Lluís; Soto Camino, Juan; Vivancos, José-Luís (Elsevier, 2013-09)

[EN] We report herein the design, manufacture and use of a "humid electronic nose" prototype based on voltammetric techniques. It consists of an array of four working electrodes (i.e., Au, Pt, Ir and Rh) housed inside a ...
An Economical and Environmental Alternative to Traditional Can Manufacturing Using a New Pre-Laminated Steel

Sellés Cantó, Miguel Ángel; Schmid, Steven R.; Sanchez-Caballero, Samuel; Ramezani, Maziar; Pérez Bernabeu, Elena (MDPI, 2020-05)

[EN] Metal containers are the most commonly used packaging worldwide in both the food and beverage industry. Some manufacturing processes in the canning industry include multi-step transformations that take large aluminum ...
Aplicación de redes neuronales artificiales para predicción de variables en ingeniería del riego: evapotranspiración de referencia y pérdidas de carga localizadas en emisores integrados

Martí Pérez, Pau Carles (Universitat Politècnica de València, 2016-05-30)

En esta tesis se presenta la aplicación de redes neuronales artificiales (ANNs) para modelar dos variables de gran importancia en la ingeniería del riego: la evapotranspiración de referencia y las pérdidas de carga localizadas ...
Aplicación de Redes Neuronales en la Detección de Regímenes Degradados en el Proceso Wedm

Portillo, E.; Cabanes, I.; Marcos, M.; Zubizarreta, A. (Universitat Politècnica de València, 2009-01-12)

[EN] This article presents the results of a comparative study performed to select the most appropriate neural network configuration for Wire Electrical Discharge Machining (WEDM). The main objective is to detect instability ...
Application of MOOSY32 eNose to assess the Effects of Some Post Harvest Treatments on the Quality of "Salustiana" Orange Juice

Cupane, M.; Pelegrí Sebastiá, José; Climent, E.; Guarrasi, Valeria; Sogorb Devesa, Tomás C.; Germana, M. A. (OMICS International, 2015-10-17)

A new prototype of Electronic Nose instrument, Multisensory Odor Olfactory System MOOSY32, with a processing method based on a multivariate classification analysis was used to assess different postharvest and storage ...
Data-driven soft sensors targeting heat pump systems

Song, Yang; Rolando, Davide; Marchante-Avellaneda, Javier; Zucker, Gerhard; Madani, Hatef (Elsevier, 2023-03-01)

[EN] The development of smart sensors, low cost communication, and computation technologies enables continuous monitoring and accumulation of tremendous amounts of data for heat pump systems. But the measurements, especially ...
Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection

Climent-Martí, Enric; Pelegrí Sebastiá, José; Sogorb Devesa, Tomás; Talens-Felis, Juan-Bta; Chilo, José (MDPI AG, 2017)

[EN] In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable ...
Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin

Aldegheishem, Abdulaziz; Alrajeh, Nabil; Parra, Lorena; Romero Martínez, José Oscar; Lloret, Jaime (MDPI AG, 2022-12)

[EN] The ambulance service is the main transport for diseased or injured people which suffers the same acceleration forces as regular vehicles. These accelerations, caused by the movement of the vehicle, impact the performance ...
Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms

López Paredes, Carlos Roberto; García, Cesar; Onyelowe, Kennedy C.; Zúñiga Rodríguez, María Gabriela; Gnananandarao, Tammineni; Andrade-Valle, Alexis Iván; Velasco, Nancy; Herrera Morales, Greys Carolina (Frontiers Media, 2024-10-03)

[EN] Industrial wastes have found great use in the built environment due to the role they play in the sustainable infrastructure development especially in green concrete production. In this research investigation, the ...
Integrating seasonal forecasts into real-time drought management: Jucar River Basin case study

Suárez-Almiñana, Sara; Andreu Álvarez, Joaquín; Solera Solera, Abel; Madrigal, Jaime (Elsevier, 2022-02-15)

[EN] In future years, and due to climate change, the frequency and intensity of extreme droughts will increase in some areas of the planet with water scarcity problems, affecting the reliability and vulnerability of water ...
Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information

Romero Martínez, José Oscar; Silveira-Miura, Aika; Parra, Lorena; Lloret, Jaime (MDPI AG, 2022)

[EN] Mobility in urban and interurban areas, mainly by cars, is a day-to-day activity of many people. However, some of its main drawbacks are traffic jams and accidents. Newly made vehicles have pre-installed driving ...
Mechanical properties forecast in composites using neural networks

Sanchez-Caballero, Samuel; Crespo Amorós, José Enrique; Parres, F.; Sellés Cantó, Miguel Ángel; Pla-Ferrando, R (Editura Universitatii din Oradea, 2011)

The aim of this paper is to introduce a method to forecast the mechanical properties of a composite based on its constitutive materials using a neural network. As input data, a limited number of tests to train the ...
New Combustion Modelling Approach for Methane-Hydrogen Fueled Engines Using Machine Learning and Engine Virtualization

Molina, Santiago; Novella Rosa, Ricardo; Gómez-Soriano, Josep; Olcina-Girona, Miguel (MDPI AG, 2021-11)

[EN] The achievement of a carbon-free emissions economy is one of the main goals to reduce climate change and its negative effects. Scientists and technological improvements have followed this trend, improving efficiency, ...
Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

Chuquin-Vasco, Daniel; Parra, Francis; Chuquin-Vasco, Nelson; Chuquin-Vasco, Juan; Lo-Iacono-Ferreira, Vanesa G. (MDPI AG, 2021-07)

[EN] The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in ...
Sensor para análisis de alimentos aplicando espectroscopía de impedancia y redes neuronales artificiales

Gessler, Josef Peter (Universitat Politècnica de València, 2021-10-11)

[ES] El objetivo de esta tesis fue el diseño de un equipo portátil para la medición de concentración de sal en soluciones salinas aplicando la espectroscopía de impedancia eléctrica (EIS) y redes neuronales artificiales ...
Sistema híbrido inteligente para la predicción de la tensión de una pila de combustible basada en hidrógeno

Casteleiro-Roca, José-Luis; Barragán, Antonio Javier; Segura, Francisca; Calvo-Rolle, José Luis; Andújar, José Manuel (Universitat Politècnica de València, 2019-09-20)

[EN] Due to some reasons like sustainability and energy strategy, there is a clear trend using new ways to obtain energy, more efficient and, usually, renewables. In addition, with other dierent objectives, many researchs ...
Termografía Infrarroja aplicada a la detección de incendios en la interfaz urbano-forestal y su optimización mediante redes neuronales artificiales

Canales Mengod, Pedro (Universitat Politècnica de València, 2015-05-07)

[EN] The Albufera of Valencia and its Devesa, form a single unit with both an ecological and social high value; reason that led them to be declared Natural Park in 1986 by the Generalitat Valenciana; being the first park ...