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41.
42.
Miguel A. Palacios-Alonso Carlos A. Brizuela L. Enrique Sucar 《Journal of Automated Reasoning》2010,45(1):21-37
Many problems such as voice recognition, speech recognition and many other tasks have been tackled with Hidden Markov Models
(HMMs). These problems can also be dealt with an extension of the Naive Bayesian Classifier (NBC) known as Dynamic NBC (DNBC).
From a dynamic Bayesian network (DBN) perspective, in a DNBC at each time there is a NBC. NBCs work well in data sets with
independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelevant
attributes which are dependent of some relevant ones. Therefore, to increase this classifier accuracy, we need a method to
design network structures that can capture the dependencies and get rid of irrelevant attributes. Furthermore, when we deal
with dynamical processes there are temporal relations that should be considered in the network design. In order to learn automatically
these models from data and increase the classifier accuracy we propose an evolutionary optimization algorithm to solve this
design problem. We introduce a new encoding scheme and new genetic operators which are natural extensions of previously proposed
encoding and operators for grouping problems. The design methodology is applied to solve the recognition problem for nine
hand gestures. Experimental results show that the evolved network has higher average classification accuracy than the basic
DNBC and a HMM. 相似文献
43.
Antonio Fernández-CaballeroAuthor Vitae María T. LópezAuthor Vitae Enrique J. CarmonaAuthor VitaeAna E. DelgadoAuthor Vitae 《Neurocomputing》2011,74(8):1175-1181
Certainly, one of the prominent ideas of Professor José Mira was that it is absolutely mandatory to specify the mechanisms and/or processes underlying each task and inference mentioned in an architecture in order to make operational that architecture. The conjecture of the last fifteen years of joint research has been that any bottom-up organization may be made operational using two biologically inspired methods called “algorithmic lateral inhibition”, a generalization of lateral inhibition anatomical circuits, and “accumulative computation”, a working memory related to the temporal evolution of the membrane potential. This paper is dedicated to the computational formulation of both methods. Finally, all of the works of our group related to this methodological approximation are mentioned and summarized, showing that all of them support the validity of this approximation. 相似文献
44.
José Ramón González de Mendívil José Enrique Armendáriz-Iñigo José Ramón Garitagoitia Francesc D. Muñoz-Escoí 《The Journal of supercomputing》2009,50(2):121-161
This paper provides a formal specification and proof of correctness of a basic Generalized Snapshot Isolation certification-based data replication protocol for database middleware architectures. It has been modeled using a state transition
system, as well as the main system components, allowing a perfect match with the usual deployment in a middleware system.
The proof encompasses both safety and liveness properties, as it is commonly done for a distributed algorithm. Furthermore,
a crash failure model has been assumed for the correctness proof, although recovery analysis is not the aim of this paper.
This allows an easy extension toward a crash-recovery model support in future works. The liveness proof focuses in the uniform
commit: if a site has committed a transaction, the rest of sites will either commit it or it would have crashed. 相似文献
45.
Ricardo Enrique Gutiérrez-Carvajal João Maurício Rosário J.A. Tenreiro Machado 《International journal of systems science》2016,47(9):2169-2177
While fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model’s complexity. This paper explores the proficiency of FC in modelling complex behaviour by tuning only a few parameters. This work proposes a novel two-step strategy for diagnosis, first modelling common failure conditions and, second, by comparing these models with real machine signals and using the difference to feed a computational classifier. Our proposal is validated using an electrical motor coupled with a mechanical gear reducer. 相似文献
46.
47.
This article addresses a new dynamic optimization problem (DOP) based on the Predator-Prey (PP) relationship in nature. Indeed, a PP system involves two adversary species where the predator’s objective is to hunt the prey while the prey’s objective is to escape from its predator. By analogy to dynamic optimization, a DOP can be seen as a predation between potential solution(s) in the search space, which represents the predator, and the moving optimum, as the prey. Therefore we define the dynamic predator-prey problem (DPP) whose objective is to keep track of the moving prey, so as to minimize the distance to the optimum. To solve this problem, a dynamic approach that continuously adapts to the changing environment is required. Accordingly, we propose a new evolutionary approach based on three main techniques for DOPs, namely: multi-population scheme, random immigrants, and memory of past solutions. This hybridization of methods aims at improving the evolutionary approaches ability to deal with DOPs and to restrain as much as possible their drawbacks. Our computational experiments show that the proposed approach achieves high performance for DPP and and competes with state of the art approaches. 相似文献
48.
Optimization of anisotropic composite panels with T-shaped stiffeners including transverse shear effects and out-of-plane loading 总被引:1,自引:1,他引:0
J. Enrique Herencia Paul M. Weaver Michael I. Friswell 《Structural and Multidisciplinary Optimization》2008,37(2):165-184
A two-step method to optimize anisotropic composite panels with T-shaped stiffeners, including a new formulation of the transverse
shear properties and an approximation of the ply contiguity (blocking) constraints as functions of the lamination parameters
is provided. At the first step, a representative element of the stiffened panel (superstiffener) is optimized using mathematical
programming and lamination parameters subjected to combined loading (in-plane and out-of-plane) under strength (laminate or
ply failure), buckling and practical design constraints. Ply blocking constraints are imposed at this step to improve convergence
towards practical laminates. At the second step, the actual superstiffener’s laminates are obtained by using a genetic algorithm.
Results, for the case considered, show that the inclusion of transverse shear effects has an associated 2.5% mass penalty
and that neglecting its effects might invoke earlier buckling failure. In addition, the influence of designing for failure
strength at laminate or ply level is assessed. 相似文献
49.
Ignacio Fernández Manuel Mazo José L. Lázaro Daniel Pizarro Enrique Santiso Pedro Martín Cristina Losada 《Autonomous Robots》2007,23(4):305-324
This paper presents a new proposal for positioning and guiding mobile robots in indoor environments. The proposal is based
on the information provided by static cameras located in the movement environment. This proposal falls within the scope of
what are known as intelligent environments; in this case, the environment is provided with cameras that, once calibrated,
allow the position of the robots to be obtained. Based on this information, control orders for the robots can be generated
using a radio frequency link. In order to facilitate identification of the robots, even under extremely adverse ambient lighting
conditions, a beacon consisting of four circular elements constructed from infrared diodes is mounted on board the robots.
In order to identify the beacon, an edge detection process is carried out. This is followed by a process that, based on the
algebraic distance, obtains the estimated ellipses associated with each element of the beacon. Once the beacon has been identified,
the coordinates of the centroids for the elements that make up the beacon are obtained on the various image planes. Based
on these coordinates, an algorithm is proposed that takes into account the standard deviation of the error produced in the
various cameras in ascertaining the coordinates of the beacon’s elements. An odometric system is also used in guidance that,
in conjunction with a Kalman Filter, allows the position of the robot to be estimated during the time intervals required to
process the visual information provided by the cameras.
相似文献
Cristina LosadaEmail: |
50.
Alejandro Echeverría Matías Améstica Francisca Gil Miguel Nussbaum Enrique Barrios Sandra Leclerc 《Computers in human behavior》2012
Computer Supported Collaborative Learning is a pedagogical approach that can be used for deploying educational games in the classroom. However, there is no clear understanding as to which technological platforms are better suited for deploying co-located collaborative games, nor the general affordances that are required. In this work we explore two different technological platforms for developing collaborative games in the classroom: one based on augmented reality technology and the other based on multiple-mice technology. In both cases, the same game was introduced to teach electrostatics and the results were compared experimentally using a real class. 相似文献