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Zuniga E.C.,San Pablo Catholic University | Gordillo A.C.,San Pablo Catholic University
Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 | Year: 2016

This article deals with the design, development and operation of security applications oriented in bodycommunication, along with analysis, evaluation and design of a complementary system of user authentication through fingerprint galvanic coupling and an authentication code. Different tests of galvanic model were performed to observe the frequency range, bandwidth, and also the conductivity of the human body. This way you can get a model safer and easier for users authentication. Besides it was designed and implemented a method to limit the transmission power and the signal is only transmitted in one part of the body, and prevent the information can be spread to other areas of the body. This galvanic method excludes the emission of electromagnetic fields which reduces the possibility of information theft. © 2016 IEEE.


Arenas G.M.,San Pablo Catholic University | Gordillo A.C.,San Pablo Catholic University
Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 | Year: 2016

Thanks to the revolution in electronics and telecommunications, there is a proliferation of devices for medical applications and others operating in the body area. There is a novel way to connect two transceivers with the human body as a communication channel by body capacitive coupling. BCC (Body Coupled Communication) is a technology that uses the human body as an electric field propagation medium without using wires or RF technology. This work aims to design and implement a BCC audio transmission system by using the USRP1 hardware and GNU radio for the design, in this work we use measure the body channel frequency response by using a signal generator and an oscilloscope and we used a portable VNA to measure the impedance and verify the data. We were able to transmit at a bit rate of 128 Kbps. © 2016 IEEE.


Saire J.E.C.,San Pablo Catholic University | Valdivia Y.J.T.,San Pablo Catholic University
Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 | Year: 2016

QIEA-R (Quantum Inspired Evolutionary Algorithm with Real Codification) was proposed for solving numerical problems obtaining better results when compared with traditional EAs, DE and PSO algorithms. It is inspired on the concept of quantum superposition in order to reduce the number of evaluations. QIEA-R has two important steps: initialization of the quantum population and updating of the quantum population. This paper analyzes these two steps and parameters related: Size of classical population, number of iterations, over some benchmark functions using statistical measurements to evaluate their importance and effect in convergence quality. The results shows the importance of quantum population size and update frequency. © 2016 IEEE.


Saire J.E.C.,San Pablo Catholic University
ACM International Conference Proceeding Series | Year: 2016

The Evolutionary Algorithms have main features like: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The FP-AK-QIEA-R uses probability density function according to best of initial population to sample new population and uses rewarding criteria to sample around the best of every iteration using cumulative density function estimated for Akima interpolation, it was used for mono-objective problems showing good results. The proposal uses the algorithm FP-AKQIEA-R and add Pareto dominance to experiment with multiobjective problems. The performed experiments use some benchmark functions from the literature and initial results shows a promissory way for the algorithm. © 2016 ACM.


Chavez-Fernandez Postigo J.,San Pablo Catholic University
Cuadernos de bioetica : revista oficial de la Asociacion Espanola de Bioetica y Etica Medica | Year: 2015

From a basic terminological clarification, we seek to examine briefly what can be acknowledged as the two biggest attempts of foundation in the Biolaw contemporary area, that of the Kantian tradition and that of the anthropological and metaphysical realism. Through a critical examination of the first one, we attempt to show that only from a freedom or an autonomy assumed from the anthropological and metaphysical realism, is possible to hold a Biolaw as a true impervious limit against the technological power regarding human life and human procreation.


Meza-Lovon G.L.,National University of San Agustín | Meza-Lovon G.L.,San Pablo Catholic University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Over the last years, the interest in preserving digitally ancient documents has increased resulting in databases with a huge amount of image data. Most of these documents are not transcribed and thus querying operations are limited to basic searching. We propose a novel approach for transcribing historical documents and present results of our initial experiments. Our method divides a text-line image into frames and constructs a graph using the framed image. Then Dijkstra algorithm is applied to find the line transcription. Experiments show a character accuracy of 79.3%. © Springer-Verlag Berlin Heidelberg 2012.


Mayhua-Lopez E.,Charles III University of Madrid | Mayhua-Lopez E.,San Pablo Catholic University | Gomez-Verdejo V.,Charles III University of Madrid | Figueiras-Vidal A.R.,Charles III University of Madrid
IEEE Transactions on Neural Networks and Learning Systems | Year: 2012

In this brief, we propose to increase the capabilities of standard real AdaBoost (RAB) architectures by replacing their linear combinations with a fusion controlled by a gate with fixed kernels. Experimental results in a series of well-known benchmark problems support the effectiveness of this approach in improving classification performance. Although the need for cross-validation processes obviously leads to higher training requirements and more computational effort, the operation load is never much higher; in many cases it is even lower than that of competitive RAB schemes. © 2012 IEEE.


Mayhua-Lopez E.,San Pablo Catholic University | Gomez-Verdejo V.,Charles III University of Madrid | Figueiras-Vidal A.R.,Charles III University of Madrid
Information Fusion | Year: 2015

Boosting algorithms pay attention to the particular structure of the training data when learning, by means of iteratively emphasizing the importance of the training samples according to their difficulty for being correctly classified. If common kernel Support Vector Machines (SVMs) are used as basic learners to construct a Real AdaBoost ensemble, the resulting ensemble can be easily compacted into a monolithic architecture by simply combining the weights that correspond to the same kernels when they appear in different learners, avoiding to increase the operation computational effort for the above potential advantage. This way, the performance advantage that boosting provides can be obtained for monolithic SVMs, i.e., without paying in classification computational effort because many learners are needed. However, SVMs are both stable and strong, and their use for boosting requires to unstabilize and to weaken them. Yet previous attempts in this direction show a moderate success. In this paper, we propose a combination of a new and appropriately designed subsampling process and an SVM algorithm which permits sparsity control to solve the difficulties in boosting SVMs for obtaining improved performance designs. Experimental results support the effectiveness of the approach, not only in performance, but also in compactness of the resulting classifiers, as well as that combining both design ideas is needed to arrive to these advantageous designs. © 2014 Elsevier B.V.All rights reserved.


Braga S.L.,Pontifical Catholic University of Rio de Janeiro | Milon J.J.,San Pablo Catholic University
International Journal of Heat and Mass Transfer | Year: 2012

An experimental device was developed to study dendritic ice growth in supercooled water inside cylindrical capsules. The capsule materials investigated were acrylic, PVC (polyvinyl chloride), bronze and aluminum. The internal diameter of all the capsules was 45 mm. The results indicate that dendritic ice appears only in supercooled water at the start of nucleation. Blockage by dendritic ice growth was classified according to the capsule material and the coolant temperature. Total blockage (100%) and partial blockage (25%, 50% and 75%) was observed. Dendritic ice growth was shown and analyzed in photographic sequences. © 2012 Elsevier Ltd. All rights reserved.


Ludena-Choez J.,Charles III University of Madrid | Ludena-Choez J.,San Pablo Catholic University | Gallardo-Antolin A.,Charles III University of Madrid
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

In this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral contents of different acoustic events by applying Non-Negative Matrix Factorization (NMF) on their spectral magnitude and compare them with the structure of speech spectra. Second, from the findings of this study, we propose a new parameterization for AEC, which is an extension of the conventional Mel Frequency Cepstrum Coefficients (MFCC) and is based on the high pass filtering of acoustic event spectra. Also, the influence of different frequency scales on the classification rate of the whole system is studied. The evaluation of the proposed features for AEC shows that relative error reductions about 12% at segment level and about 11% at target event level with respect to the conventional MFCC are achieved. © 2013 Springer-Verlag Berlin Heidelberg.

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