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Mexico City, Mexico

Chavez J.A.D.,IPN ESIME Culhuacan | Michtchenko A.,IPN ESIME Zacatenco | Budagovskii A.V.,Michurinsk State Agrarian University
2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014 | Year: 2014

In this work we determine the radiation intensities and times for a system designed on base of pulsed diode lasers with λ = 904 nm to produce biostimulation effects on two physiological parameters of wheat seed "Triticum aestivum L" of the variety Nahuatl F2000: The growth of steam and root. The experimental design was carried out through the guidelines and requirements established by the ISTA (International Seed Testing Association) 2009. Descriptive statistic was applied to analyze the existence of stimulatory effects in this type of seeds. © 2014 IEEE.

Gallegos-Garcia G.,IPN ESIME Culhuacan | Gomez-Cardenas R.,ITESM CEM | Duchen-Sanchez G.,IPN ESIME Culhuacan
Revista Facultad de Ingenieria | Year: 2010

Electronic voting has been an active research area since two decades, which involves using information systems and cryptographic schemes in order to reduce costs and human mistakes as well as increase process speed, without discard its security. In the literature there exist some proposals, which are based on the difficult to resolve mathematical problems such as: prime factorization or discrete logarithm, both of them from Public Key Cryptography. In this paper we describe an electronic voting protocol that meets privacy, transparency and robustness by using a scheme from Identity Based Cryptography. The proposed protocol is divided in four main phases: set-up, authentication, voting and counting and involves a distributed responsibility model, with t out of n entities that are required during the counting phase to decrypt the votes. The paper includes a correctness test to show how the protocol works.

Escamilla-Hernandez E.,IPN ESIME Culhuacan | Kravchenko V.,RAS Institute of Radio Engineering and Electronics | Ponomaryov V.,IPN ESIME Culhuacan | Duchen-Sanchez G.,IPN ESIME Culhuacan | Hernandez-Sanchez D.,UAEH CITIS
Revista Facultad de Ingenieria | Year: 2010

We present the hardware implementation of radar real time processing procedures using a simple, fast technique based on FPGA (Field Programmable Gate Array) architecture. This processing includes different window procedures during pulse compression in synthetic aperture radar (SAR). The radar signal compression processing is realized using matched filter, and classical and novel window functions, where we focus on better solution for minimum values of side-lobes. The proposed architecture exploits the parallel computing resources of FPGA devices to achieve better computation speed. Experimental investigations have shown that the best results for pulse compression performance have been obtained using atomic functions, improving the performance of the radar system in the presence of noise, obtaining small degradation in range resolution. Implementation of the signal processing in the radar system for real time mode is discussed here and the effectiveness of the proposed hardware architecture has been justified.

Daniel K.R.P.,IPN ESIME Culhuacan | Hernandez E.E.,IPN ESIME Culhuacan | Nagai T.,University Electro Comunicaciones | Miyatake M.N.,IPN ESIME Culhuacan
Revista Facultad de Ingenieria | Year: 2011

In this paper an unknown objects drawing model is proposed. Here we describe a technique that let us build a visual model of a word through images retrieved from Internet, enabling to learn any object at any time. This process is done without any prior knowledge of the objects appearance. However this information must be filtered in order to get the most meaningful image according to the keyword and allowing making the visual relation between words and images as much unsupervised as it could be possible like humans understanding. For this purpose Pyramid of Histogram of Oriented Gradients (PHOG) feature extraction, K-means clustering and color segmentation is done, and then the final image is drawn as an application of the learning process. The proposed model is implemented in a robot platform and some experiments are carried out to evaluate the accuracy of this algorithm.

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