Marcela Jamett

Dr. Marcela Jamett


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2017 in International Journal of Computational Intelligence Systems
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Journal Article
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HOH. Olmí
H. Olmí
Claudio UrreaClaudio Urrea
Claudio Urrea
MJMarcela Jamett
Marcela Jamett

1 January 2016 in Ingeniare. Revista chilena de ingeniería
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Journal Article
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EJEnrique San Juan
Enrique San Juan
MJMarcela Jamett
Marcela Jamett
HKHector Obrien Kaschel
Hector Obrien Kaschel
LSLuis Sánchez
Luis Sánchez
En el presente trabajo se muestra un sistema que combina la utilización de Transformadas de Wavalet (WT, Wavalet Transform), Coeficientes de Predicción Lineal (LPC, Linear Predictive Coding) y Redes Neuronales Artificiales (ANN, Artificial Neural Networks), para reconocer vocales y sílabas en forma independiente del hablante. Usando esta estructura, se propone un software automatizado que, a través de una interfaz, permite a usuarios con dificultades de audición o ausencia total de ésta, la posibilidad de emplearlo en primera instancia como una herramienta inicial de apoyo para el aprendizaje de sílabas. En una primera etapa se incorpora un número reducido de sílabas, en especial las que podrían tener más dificultad para su identificación. Posteriormente se puede ir incorporando una mayor cantidad de sílabas, de tal forma que el sistema pueda ir creciendo. La adición de nuevas sílabas, permitirá luego (a través de la segmentación de palabras en sílabas), la implementación de un sistema mayor para identificar palabras y por consiguiente el aprendizaje del lenguaje hablado. Palabras clave: Coeficientes LPC, reconocimiento de voz, reconocimiento de patrones, transformada wavelet (WT), redes neuronales artificiales (ANN).

14 April 2020 in Energies
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Journal Article
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JBJavier Borquez
Javier Borquez
HECTOR CHAVEZHECTOR CHAVEZ
HECTOR CHAVEZ
KBKarina Barbosa
Karina Barbosa
MJMarcela Jamett
Marcela Jamett
RARodrigo Acuna
Rodrigo Acuna
In a scenario where distributed generation infrastructure is increasing, the impact of that integration on electricity tariffs has captured particular attention. As the distribution sector is mainly regulated, tariff systems are defined by the authority. Then, tariffs must be simple, so the methodology, criteria, and procedures can be made public to ensure transparency and responsiveness of the customers to price signals. In the aim of simplicity, tariff systems in current practices mostly consist of volumetric charges. Hence, the reduction of the energy purchased from the distribution network jeopardizes the ability of the tariff system to ensure recovery of the total regulated costs. Although various works have captured this concern, most proposals present significant mathematical complexity, contrasting with the simplicity of current practices and limiting its regulatory applicability. This work develops a tariff system that captures the basic elements of distribution systems, trying to maintain the simplicity of current practices, ensuring recovery of the total regulated cost under the penetration of distributed generation, and incentivizing through price signals operational efficiency. A simulation will be presented to discuss numerical results.