Entity

Time filter

Source Type

Campeche, Mexico

Leon B.S.,CINVESTAV | Alanis A.Y.,University of Guadalajara | Sanchez E.N.,CINVESTAV | Ruiz-Velazquez E.,University of Guadalajara | Ornelas-Tellez F.,UNACAR
International Journal of Adaptive Control and Signal Processing | Year: 2012

In this paper, a discrete-time inverse optimal trajectory tracking for a class of nonlinear positive systems is proposed. The scheme is developed for MIMO affine discrete-time positive nonlinear systems. This optimal controller is based on discrete time passivity and positive systems theory. The advantage of this scheme is that it avoids solving the associated Hamilton-Jacobi-Bellman equation and minimizes a meaningful cost function. The affine discrete-time positive nonlinear system is obtained from an online neural identifier, which uses a recurrent neural network, trained with the extended Kalman filter.The applicability of the proposed approach is illustrated via simulation by trajectory tracking control of type 1 diabetes mellitus patients. Copyright © 2012 John Wiley & Sons, Ltd. Source


Castillejos H.,National Polytechnic Institute of Mexico | Ponomaryov V.,National Polytechnic Institute of Mexico | Nino-De-Rivera L.,National Polytechnic Institute of Mexico | Golikov V.,UNACAR
Computational and Mathematical Methods in Medicine | Year: 2012

This paper presents a novel approach to segmentation of dermoscopic images based on wavelet transform where the approximation coefficients have been shown to be efficient in segmentation. The three novel frameworks proposed in this paper, W-FCM, W-CPSFCM, and WK-Means, have been employed in segmentation using ROC curve analysis to demonstrate sufficiently good results. The novel W-CPSFCM algorithm permits the detection of a number of clusters in automatic mode without the intervention of a specialist. © 2012 Heydy Castillejos et al. Source


Lebedeva O.,Autonomous University of Carmen | Martinez Vera E.,UNACAR | Golikov V.,Autonomous University of Carmen | Rodriguez Blanco M.,Autonomous University of Carmen
Proceedings - 2013 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2013 | Year: 2013

This work presents a novel generalized likelihood ratio (GLR) methodology to design a detection algorithm for a sequence of images in the presence of Gaussian structured background and noise. We focus on the detection of a subpixel target both with small target's energy and without it (dark target). It is assumed that the background power is known a priori under the null hypothesis and is unknown under the alternative hypothesis. This situation is typical in the case of subpixel detection. We derive the GLR test (GLRT) for this problem. The designed detector is theoretically justified and numerically evaluated. The structure of the designed detector consists of two detectors. The first detector is the known matched subspace detector and the second is the background's power change detector. The second detector help to detect the black subpixel targets (without reflected energy). Both the theoretical and computer simulation results have shown that the proposed detector outperforms the conventional one. © 2013 IEEE. Source


Cerecedo-Nunez H.H.,University of Veracruz | Alvarado-Zacarias J.C.,University of Veracruz | Padilla-Sosa P.,University of Veracruz | Basurto- Pensado M.A.,Autonomous University of Mexico State | And 3 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

An optical fiber trap operates by radiation pressure and transverse force gradient while conventional optical trap operates on longitudinal gradient to trap particles. This subtle difference translates into easy setup and many advantages over conventional single-beam optical tweezers. In this work, we present a brief review of the current situation of fiber optic trap and their applications. Subsequently, we discuss the effect of radiation pressure on micro-organic and inorganic particles. Using a single optical fiber, radiation pressure transfers movement to the micro-particles, so velocity and acceleration are quantified. After that, micro particles are trapped, but now using two optical fibers. Finally, we discuss the results and problems involved with this research. © 2013 SPIE. Source


Perez Alvis E.,UNACAR | Gonzalez Morales C.A.,PEMEX | Ortuno Maldonado E.,PEMEX | Espinosa Luna R.,Kelly Services
1st EAGE/ACGGP Latin American Geophysics Workshop | Year: 2012

Understanding the geological-structural environment through regional studies to characterize the velocity field from surface to reservoir has more geological sense. In Sonda de Campeche there are strong velocity variations in the Tertiary rocks that affect the shape and dimensions of structures in time (pull-up or pull-down). The study, modeling and understanding these effects help to propose the best solution and the best image in depth of the reservoir with time-depth conversion process. In this paper, we focus on detailing the interpretation around the fault zones (thrusts and growth faults) of events corresponding to carbonate rocks, to populate interval velocity models with which we obtain the time-depth conversion of the seismic data in the Sonda de Campeche. It was concluded that the seismic data require additional processes to improve the image of events in the shadow zone of faults. Finally, we performed 100 realizations of interval velocity models thus generated a probability distribution of the rock volume. This allows us to represent the uncertainty in the velocity field in areas where there is not well information. Source

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