Recent Submissions

  • Voltage-Driven Hysteresis Model for Resistive Switching: SPICE Modeling and Circuit Applications 

    Patterson, Germán; Suñé, Jordi; Miranda, Enrique (2017-12)
    "Resistive switching devices are nonlinear electrical components that have drawn great attention in the design of new technologies including memory devices and neuromorphic circuits. In this paper, an SPICE implementation ...
  • The geodesic distance between 𝒢I0 models and its application to region discrimination 

    Naranjo-Torres, José; Gambini, Juliana; Frery, Alejandro C. (2017-03)
    "The 𝒢I0 distribution is able to characterize different regions in monopolarized SAR imagery. It is indexed by three parameters: the number of looks (which can be estimated in the whole image), a scale parameter, and a ...
  • Characterization of electric load with information theory quantifiers 

    Aquino, Andre L. L.; Ramos, Heitor S.; Frery, Alejandro C.; Viana, Leonardo P.; Cavalcante, Tamer S. G.; Rosso, Osvaldo A. (2017-01)
    "This paper presents a study of the electric load behavior based on the Causality Complexity–Entropy Plane.Weuse a public data set, namely REDD, which contains detailed power usage information from several domestic appliances. ...
  • Automated workarounds from Java program specifications based on SAT solving 

    Uva, Marcelo; Ponzio, Pablo; Regis, Germán; Aguirre, Nazareno; Frias, Marcelo (2018-11)
    "The failures that bugs in software lead to can sometimes be bypassed by the so-called workarounds: when a (faulty) routine fails, alternative routines that the system offers can be used in place of the failing one, to ...
  • Pedestrian collective motion in competitive room evacuation 

    Garcimartín, Ángel; Pastor, José Martín; Martín-Gómez, César; Parisi, Daniel R.; Zuriguel, Iker (2017-12)
    "When a sizable number of people evacuate a room, if the door is not large enough, an accumulation of pedestrians in front of the exit may take place. This is the cause of emerging collective phenomena where the density ...
  • Sampling from the 𝒢I0 distribution 

    Chan, Debora; Rey, Andrea; Gambini, Juliana; Frery, Alejandro C. (2018-12)
    "Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The 𝒢I0 distribution is an important model for ...
  • EEG waveform analysis of P300 ERP with applications to brain computer interfaces 

    Ramele, Rodrigo; Villar, Ana Julia; Santos, Juan Miguel (2018-11)
    "The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to ...
  • Piet: a GIS-OLAP implementation 

    Vaisman, Alejandro Ariel; Gómez, Leticia Irene; Kuijpers, Bart; Escribano, Ariel (2007)
    "Data aggregation in Geographic Information Systems (GIS) is a desirable feature, although only marginally present in commercial systems, which also fail to provide integration between GIS and OLAP (On Line Analytical ...
  • Foundations and applications for secure triggers 

    Futoransky, Ariel; Kargieman, Emiliano; Sarraute, Carlos; Waissbein, Ariel (2005)
    "Imagine there is certain content we want to maintain private until some particular event occurs, when we want to have it automatically disclosed. Suppose furthermore, that we want this done in a (possibly) malicious host. ...
  • Learning by knowledge sharing in autonomous intelligent systems 

    García-Martínez, Ramón; Borrajo, Daniel; Maceri, Pablo; Britos, Paola Verónica (2006)
    "Very few learning systems applied to problem solving have focused on learning operator definitions from the interaction with a completely unknown environment. In order to achieve better learning convergence, several agents ...
  • An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning 

    D'Aquila, Raimundo O.; Crespo Crespo, Cecilia; Mate, J. L.; Pazos, J. (2002)
    "This paper addresses the development and computational implementation of an inference engine based on a full fuzzy logic, excluding only imprecise quantifiers, for handling uncertainty and imprecision in rule-based expert ...