Gustavo Cerda-Villafaña
Universidad de Guanajuato
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Publication
Featured researches published by Gustavo Cerda-Villafaña.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control | 2012
Yuriy S. Shmaliy; Victor P. Plessky; Gustavo Cerda-Villafaña; Oscar Ibarra-Manzano
This paper addresses the code reading error probability (EP) in radio-frequency identification (RFID) SAW tags with pulse position coding (PPC) and peak-pulse detection. EP is found in a most general form, assuming M groups of codes with N slots each and allowing individual SNRs in each slot. The basic case of zero signal in all off-pulses and equal signals in all on-pulses is investigated in detail. We show that if a SAW-tag with PPC is designed such that the spurious responses are attenuated by more than 20 dB below on-pulses, then EP can be achieved at the level of 10-8 (one false read per 108 readings) with SNR >;17 dB for any reasonable M and N. The tag reader range is estimated as a function of the transmitted power and EP.
mexican international conference on artificial intelligence | 2008
Gustavo Cerda-Villafaña; Sergio Ledesma-Orozco; Efren Gonzalez-Ramirez
Tank models have been used in many Asian countries for flood forecasting, reservoir operation, river basin modeling, etc. In this work a tank model is coupled with an ANN (Artificial Neural Network) for modeling a rainfall-runoff process. The ANN controls six of the tank model parameters to adjust them along time in order to improve efficiency. The data used in the simulations were collected from the Brue catchment in the South West of England. It should be pointed out that the raingauge network in this study is extremely dense (for research purposes) and does not represent the usual raingauge density in operational flood forecasting systems.
mediterranean electrotechnical conference | 2010
Gustavo Cerda-Villafaña; Yuriy S. Shmaliy
The generic identification (ID) error probability and optimum thresholds are found employing the Marcum Q-function of first order for passive wireless surface acoustic wave (SAW) ID-tags with binary amplitude shift keying (BASK). As examples, we find optimal thresholds for the 28-slot pulse-burst and the Barker code-based BASK. It is shown that, under the ideal conditions of equal SNRs of 30 dB in On-pulses and zeroth in Off-pulses, the identification error probability lesser 1% (one slip per 100 readings) can be provided employing ASK in time position encoding having any reasonable number of slots. The error lesser 0.1% (1 slip per 1000 readings) can be achieved with seven or lesser slots. Otherwise, ASK needs to be combined with other kinds of encoding.
IEEE Antennas and Propagation Magazine | 2015
Sergio Ledesma; José Ruiz-Pinales; Gustavo Cerda-Villafaña; Ma. de Guadalupe García-Hernández
Antenna design involves a set of complex requirements that may conflict. Some of these requirements are frequently expressed in terms of antenna parameters, such as radiation pattern, voltage standing wave ratio (VSWR) or impedance. In general, antenna requirements are specified for a frequency band or a set of frequencies. In some cases, the designer may create an antenna draft by trial and error until some performance goals are reached. Occasionally, this process may be simple, but in others, the number of variables makes it difficult to easily meet all of the goals. Alternatively, antenna design can be seen as an intricate error surface in an N-dimensional space. In this space, moving the solution over its surface in one direction may be good for some of the goals, but bad for others. Regularly, this error surface is difficult to travel through for most optimization algorithms. In previous works, genetic algorithms (GAs) have been used to assist the designer in this complicated process. This article proposes a hybrid method using artificial intelligence to design and optimize antennas. First, simulated annealing (SA) is used to draft the antenna. Second, the draft is improved until most of the performance goals are achieved.
2010 First International Conference on Sensor Device Technologies and Applications | 2010
Gustavo Cerda-Villafaña; Yuriy S. Shmaliy
Passive Surface Acoustic Wave (SAW) sensors intended to measure different physical quantities are often manufactured to have Radio Frequency Identification (RFID) tags with time position encoding. The optimum threshold is proposed for the identification of commercial SAW ID-tags. We first find the generic identification error probability for such tags employing the Marcum function of first order and then minimize it in order to find the optimal threshold. The results are obtained for the ideal conditions of equal 30 dB SNR. As examples of applications, we give the estimate number of reflectors for an ID error probability lesser than 1 and 0.1% (1 slip per 100 and 1000 readings).
Robotics and Computer-integrated Manufacturing | 2012
J. Jesús Cervantes-Sánchez; José M. Rico-Martínez; Salvador Pacheco-Gutiérrez; Gustavo Cerda-Villafaña
Measurement | 2011
Gustavo Cerda-Villafaña; Yuriy S. Shmaliy
Journal of Applied Research and Technology | 2011
Sergio Ledesma-Orozco; José Ruiz-Pinales; G. García-Hernández; Gustavo Cerda-Villafaña; D. Hernández-Fusilier
Archive | 2015
Sergio Ledesma; José Ruiz-Pinales; Gustavo Cerda-Villafaña; Ma. de Guadalupe García-Hernández
international conference on computer engineering and applications | 2012
Yuriy S. Shmaliy; Gustavo Cerda-Villafaña; Oscar Ibarra-Manzano; Victor P. Plessky