Escuela Superior de Computo IPN

Mexico City, Mexico

Escuela Superior de Computo IPN

Mexico City, Mexico
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Barranco-Jimenez M.A.,Escuela Superior de Computo IPN | Cervantes-Espinoza L.M.,Escuela Superior de Computo IPN | Hurtado-Aguilar D.,Escuela Superior de Computo IPN
Proceedings of the 24th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2011 | Year: 2011

In a recent work [1], we studied the thermoeconomics of a Novikov power plant model in terms of the maximization of a benefit function defined by the ratio of the plant's power output and the total cost involved in the plant's performance. In that work, we use different heat transfer laws: the so called Newton's law of cooling, the Stefan-Boltzmann radiation law, the Dulong-Petit's law and another phenomenological heat transfer law. We also have calculated the optimal efficiency in terms of the temperature ratio τ = T2/T1 (T1 > T2, being the temperatures of the external heat reservoirs) and a parameter f (fractional fuel cost), which is associated to several energies resources, considering energy sources where de investment is the preponderant cost (f 0) until energy source where the fuel is the predominant cost (f 1). In this work, we present a local stability analysis of a thermoeconomic model of an irreversible heat engine working at maximum power conditions and considering a heat transfer law of the Dulong-Petit type. We show that the relaxation times are function of τ, f and R, (a parameter which comes from the Clausius inequality and measure the degree of the internally irreversibilities of the system). Our results generalize other results obtained in the literature [2]. We show that the stability of the system improve as increases τ whereas the steady-state energetic properties of the engine declines for all cases of energy sources treated here.


Aguilar-Ibanez C.,CIC IPN | Suarez-Castanon M.S.,Escuela Superior de Computo IPN
International Journal of Control | Year: 2010

A nonlinear controller for the stabilisation of the Furuta pendulum is presented. The control strategy is based on a partial feedback linearisation. In a first stage only the actuated coordinate of the Furuta pendulum is linearised. Then, the stabilising feedback controller is obtained by applying the Lyapunov direct method. That is, using this method we prove local asymptotic stability and demonstrate that the closed-loop system has a large region of attraction. The stability analysis is carried out by means of LaSalle's invariance principle. To assess the controller effectiveness, the results of the corresponding numerical simulations are presented. © 2010 Taylor & Francis.


Lopez M.R.C.,Escuela Superior de Computo I.P.N. | Gonzalez M.A.D.,Escuela Superior de Computo I.P.N. | Fernando M.R.,Escuela Superior de Computo I.P.N. | Rodolfo M.V.,Escuela Superior de Computo I.P.N.
Journal of Theoretical and Applied Information Technology | Year: 2011

The present project has a social focus, which pretends develop a system (hardware and software) capable to achieve a valuation of the neuromusclescheletic children's march, which is cerebral paralysis. This valuation will be done by several images, representing the march of the studied subject in a graphic way, to be compared with a normal march patron that will be evaluated by an expert who will determinate a proper treatment, witch will inhibit the low extremities' dominating muscles to improve the subject march. © 2005 - 2011 JATIT & LLS. All rights reserved.


Lopez P. Ma.G.,Research Center en Computacion | Molina Lozano H.,Research Center en Computacion | Sanchez F. L.P.,Research Center en Computacion | Oliva Moreno L.N.,Escuela Superior de Computo IPN
CONIELECOMP 2011 - 21st International Conference on Electronics Communications and Computers, Proceedings | Year: 2011

In this work we proposed a new method that allows the blind source separation by the analysis of independent components known as FASTICA in the domain of Wavelet to observe his behavior on signs captured in a real environment. The problem that tries to be solved in Blind Source Separation (BSS) consists of recovering signs statistically independent. Nevertheless, certain difficulties appear when this system is applied to real signs, on the one hand the effect of the reverberation does that the mixtures gathered by the microphones are convolution mix; and on the other hand, these mixtures will not be totally independent. We did two experiments. With the first experiment we separated 2 audio signals with a very low percentage of error. With the second experiment we recorded 3 different audio sources with an array of 3 microphones, and then from one audio recorded source 3 signals were separated, we appreciate that in each source one signal was amplified and the other two signals were fallen down. From the results, the method that we proposed is able to separate from one mixed audio signal 2 or even 3 independent signals. © 2011 IEEE.


Lopez P. Ma.G.,Research Center en Computacion | Sanchez F. L.P.,Research Center en Computacion | Lozano H.M.,Research Center en Computacion | Moreno L.N.O.,Escuela Superior de Computo IPN
Proceedings - 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011 | Year: 2011

In the present work, we show a way to separate noise signals recorded with microphones industrial, in order that they can be analyzed separately. Blind Source Separation is accomplished using Independent Component Analysis (ICA) technique in the wavelet domain. Also, it is necessary to identify the separate sources, taking into account that each signal separate has some components of the signals belonging to the initial mixture. Through data mining techniques and characteristic features of the signals obtained are derived rules in order to identify the main source that is present in the mix, for this we propose the use of data mining techniques. The results show a substantial improvement in the separation of mixtures of real environmental noise using ICA, although the mixtures are not fully independent. © 2011 IEEE.

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