Recent Submissions

  • Optimizing relationships information in repertory grids 

    Calot, Enrique; Britos, Paola Verónica; García Martínez, Ramón (2008)
    "The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise ...
  • Requirements elicitation in data mining for business intelligence projects 

    Britos, Paola Verónica; Dieste, Oscar; García Martínez, Ramón (2008)
    "There are data mining methodologies for business intelligence (DM-BI) projects that highlight the importance of planning an ordered, documented, consistent and traceable requirement’s elicitation throughout the entire ...
  • Work in progress: programming misunderstandings discovering process based on intelligent data mining tools 

    Britos, Paola Verónica; Jiménez Rey, Elizabeth; Rodríguez, Darío; García Martínez, Ramón (2008)
    "We present research work in progress that focuses on data mining tools used for helping teachers to apply a three step knowledge discovering process to diagnose students’ misunderstandings (and their causes) related to ...
  • Pedagogical Protocols Selection Automatic Assistance 

    Britos, Paola Verónica; Cataldi, Zulma; Sierra, Enrique; García Martínez, Ramón (2008)
    "The preliminary results presented in this paper corresponds to a research project oriented to the search of the relationship between the predilection of students concerning learning style and the pedagogical protocols ...
  • Synthesis of LEB (Linear-ellipsoidal-bounded) regulators and filters for discrete-time systems 

    Antonini, Claudio Daniel (1987)
    "This work is applicable to LTI systems, described by state-variables, whose measurement errors, controls and outputs are to be bounded by upper and lower measurement noises and bounded disturbances. The methodology has ...
  • Real time stable identification: A Nehari/SOS approach 

    García Galiñanes, Rafael; Sánchez Peña, Ricardo S.; Mancilla Aguilar, José Luis (2007)
    Here we present an adaptive identification algorithm based on Second Order section (SOS) model structures. The procedure guarantees stable transfer functions whenever the actual physical plant is stable, due to an optimal ...
  • Development of an optimized LEB filter and its application to INS/GPS test data 

    Antonini, Claudio Daniel (1993)
    "An optimized linear-ellipsoidal-bounded (LEB) filter has been developed and applied to data obtained from a ground test using a combined INS/GPS configuration. In this cascaded configuration, the filter receives eight ...
  • Influence of temperature and interfacial tension on spontaneous imbibition process 

    Chimienti, M.E.; Illiano, S.N.; Najurieta, H.L. (1999)
    “Spontaneous imbibition is a mechanism that can significantly contribute to the production rate and final oil recovery in fractured and stratified reservoirs. This mechanism is affected by rock and fluid properties and it ...
  • Conceptualization maturity metrics for expert systems 

    Britos, Paola Verónica; García-Martínez, Ramón; Hauge, Ødwin (2006)
    “Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the ...
  • An extension of chaotic probability models to real-valued variables 

    Fierens, Pablo Ignacio (2008)
    "Previous works have presented a frequentist interpretation of sets of measures as probabilistic models which have denominated chaotic models. Those models, however, dealt only with sets of probability measures on finite ...
  • Discounting rate: a matter of common sense rather than a theoretical problem 

    Rosbaco, Juan (1999)
    “Different rates proposed by several authors to discount cashflows of given projects are discussed. The paper starts by reviewing what the objectives of an evaluation are and later presents the different discount rates ...
  • Multiple internal rates of return: when to anticipate multiple IRRs and how to take advantage of them to perform a better evaluation 

    Rosbaco, Juan (1999)
    “There are different rules to delimit or exactly determine the number of Internal Rates of Return a project may have or has. These rules show that, when the sequence of signs of the cumulative cash flow vs time function ...
  • Detection of breast lesions in medical digital imaging using neural networks 

    Ferrero, Gustavo; Britos, Paola Verónica; García Martínez, Ramón (2006)
    "The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research ...
  • Patterns in temporal series of meteorological variables using SOM & TDIDT 

    Cogliati, Marisa; Britos, Paola Verónica; García Martínez, Ramón (2006)
    "The purpose of the present article is to investigate if there exist any such set of temporal stable patterns in temporal series of meteorological variables studying series of air temperature, wind speed and direction an ...
  • Identification of velocity variations in a seismic cube using neural networks 

    Cersósimo, Darío Sergio; Ravazoli, Claudia; García Martínez, Ramón (2006)
    "This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks."
  • Audio watermarking 

    Luo, Leandro; Michel, Bernardo; Sosa, Octavio; Vuoso, Juan Ignacio (2018)
    El trabajo consiste en grabar un mensaje oculto en un archivo de audio utilizando una técnica llamada Spread Spectrum. Con ésta, se puede distribuir la potencia del mensaje en un mayor ancho de banda.
  • Electrocardiógrafo digital implementado en microprocesador 

    Copati, Alejandro Daniel; Hilaire, Tomás (2018)
    En este trabajo se estudio la forma de fabricar un electrocardiógrafo, un equipo que se utiliza para medir la despolarización del corazón en forma de señales cardíacas de un paciente, mediante tres electrodos conectados a ...
  • PONG Deep Q Learning 

    Rodríguez Turco, Martín Sebastián (2018)
    PONG Deep Q Learning se basa en la implementación de redes neuronales junto con un sistema de recompensas para que un agente que desconoce por completo su ambiente aprenda las estrategias que más lo benefician.
  • Medidor Inteligente de energía y potencia eléctrica 

    Rovero, Agustín; Gremes Cordero, Juan Agustín (2018)
    Medidor electrónico modular de energía eléctrica para mayor versatilidad en la medición del consumo energético en comparación con los medidores electromecánicos. Permiten la elaboración de bases de datos para el futuro ...
  • Detector de glucosa 

    Bergamini, Mariana; Ojeda, Paulo; Osimani, Lucía; Torlaschi, Megan (2018)
    Diseño e implementación de un detector de presencia de Glucosa utilizando tiras Accu-Chek Performa Nano y su conector extraído de un glucómetro Accu-Chek, en conjunto con un circuito amplificador desarrollado por los alumnos.

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