| Revista: | Revista mexicana de física |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000439017 |
| ISSN: | 0035-001X |
| Autores: | González Vidal, J.L1 Reyes Barranca, M.A2 Vázquez Acosta, E.N2 Raygoza Panduro, J.J3 |
| Instituciones: | 1Universidad Autónoma del Estado de Hidalgo, Instituto de Ciencias Básicas e Ingeniería, Mineral de la Reforma, Hidalgo. México 2Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados, Ciudad de México. México 3Universidad de Guadalajara, Facultad de ingeniería, Guadalajara, Jalisco. México |
| Año: | 2020 |
| Periodo: | Ene-Feb |
| Volumen: | 66 |
| Número: | 1 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, teórico |
| Resumen en inglés | This paper shows a novel design of a gas sensor system based on artificial neural networks and floating-gate metal oxide semiconductor transistors. Two types of circuits with floating-gate metal oxide semiconductor transistors of minimum dimensions were designed and simulated by Simulink of Matlab; simulations and experimental measurements results were compared, obtaining good expectations. The reason for using floating-gate metal oxide semiconductor is that artificial neural networks can also be implemented with these kinds of devices, since artificial neural networks based on floating-gate metal oxide semiconductors are able to produce pseudo-Gaussian-functions. These functions give a reliable option to determine gas concentration. A sensitive thin film can be deposited on the floating-gate metal oxide semiconductor floating gate, which produces a charge variation due to the chemical reaction between the sensitive layer and the gas species, modifying the threshold voltage thereby a correlation of drain current of the floating-gate metal oxide semiconductor with gas concentration can be obtained. Therefore, a generator circuit was implemented for the pseudo Gaussian signal with the floating-gate metal oxide semiconductor. This system can be applied in environments with dangerous species such as CO2, CO, methane, propane, among others. Simulations demonstrated that the implemented proposal has a good performance as an alternative method for sensing gas concentrations, compared with conventional sensors |
| Disciplinas: | Física y astronomía |
| Palabras clave: | Física, Sensor de gas, Semiconductor de óxido metálico de puerta flotante, Redes neuronales artificiales |
| Keyword: | Physics, Gas sensor, Floating-gate metal oxide semiconductor, Artificial neural networks |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
