University of Information Sciences

www.uci.cu
Havana, Cuba

The University of Informatic science is a university research center based in Havana, Cuba, in the municipality of Boyeros. Born as a project of the Cuban Revolution called the "Future Project" which has two objectives: to computerize the country and develop the software industry to contribute to economic development the same. It is the first Cuban university to be established under the purposes of the Battle of Ideas. Wikipedia.

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The drugs are widely used today, they can cause some adverse drug reaction (ADR); to manifest in a patient, medical personnel should be capable of change the drug for a substitute with equal effectiveness on the disease. This task is performed manually, consulting the National Drugs Formulary, which has no similarity between drugs. To identify these similarities, Pattern Recognition techniques were used, the drugs were grouped by RAM that they cause, by LC-Conceptual algorithm. This technique allows to know the similarity between the causative drug RAM and the set of alternate drugs, attending the RAM that they cause, facilitating the prescription of them. © The author; licensee Universidad Nacional de Colombia.


Gonzalez H.,University of Information Sciences | Morell C.,University "Marta Abreu" of Las Villas | Ferri F.J.,University of Valencia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

The purpose of this work is to learn specific distance functions to be applied for multi-target regression problems using nearest neighbors. The idea of preserving the order relation between input and output vectors considering their corresponding distances is used along a maximal margin criterion to formulate a specific metric learning problem. Extensive experiments and the corresponding discussion try to put forward the advantages of the proposed algorithm that can be considered as a generalization of previously proposed approaches. Preliminary results suggest that this line of work can lead to very competitive algorithms with convenient properties. © Springer International Publishing AG 2017.


Rodriguez-Vazquez S.,University of Information Sciences
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

40 years ago, uterine cervix cancer represented one of the greatest threats of cancer death among women. With continued advances in medicine and technology, deaths from this disease have declined significantly. The investigations concerning this issue have been determined key symptoms to detect the disease in time to give timely treatment. Conventional cytology is one of the most commonly used techniques being widely accepted because it´s inexpensive, and provide many control mechanisms. In order to alleviate the workload to specialists, some researchers have proposed the development of computer vision tools to detect and classify the changes in the cells of the cervix region. This research aims to provide researchers with an automatic classification tool applicable to the conditions in medical and research centers in the country. This tool classifies the cells of the cervix, based solely on the features extracted from the nucleus region and reduces the rate of false negative Pap test. From the study, a tool using the technique k-nearest neighbors with distance Manhattan, which showed high performance while maintaining AUC values greater than 91% and reaching 97.1% with a sensitivity of 96% and 88% of obtained specificity. © Springer International Publishing AG 2017.


Mariduena-Arroyave M.R.,University of Guayaquil | Febles-Estrada A.,University of Information Sciences
DYNA (Colombia) | Year: 2016

Selecting a profession suitable to students expectations implies taking into account multiple factors. Despite its usefulness and high impact, there are shortcomings in current university major recommendation models. Among these limitations are the lack of flexible models, the dependence on historical information and the inadequate weighting of the factors involved. In this paper, a new college degree recommendation model based on psychological student profiling and the analytical hierarchical process is presented. It includes database construction, student profiling, college degree information filtering and recommendation generation. Its implementation made it possible to improve reliability in the recommendation process of college degree. A case study is shown to demonstrate the model applicability. © The author; licensee Universidad Nacional de Colombia.


Sanchez-Diaz G.,Autonomous University of San Luis Potosi | Lazo-Cortes M.,University of Information Sciences | Piza-Davila I.,Instituto Tecnologico Y Of Estudios Superiores Of Occidente
International Journal of Computational Intelligence Systems | Year: 2012

In this paper, we introduce a fast implementation of the CT EXT algorithm for testor property identification, that is based on an accumulative binary tuple. The fast implementation of the CT EXT algorithm (one of the fastest algorithms reported), is designed to generate all the typical testors from a training matrix, requiring a reduced number of operations. Experimental results using this fast implementation and the comparison with other state-of-the-art algorithms that generate typical testors are presented. © 2012 Copyright the authors.


Montesino R.,University of Information Sciences | Fenz S.,Vienna University of Technology
Proceedings of the 2011 6th International Conference on Availability, Reliability and Security, ARES 2011 | Year: 2011

Information security management is a very complex task which involves the implementation and monitoring of more than 130 security controls. To achieve greater efficiency in this process it is necessary to automate as many controls as possible. This paper provides an analysis of how many controls can be automated, based on the standards ISO 27001 and NIST SP800-53. Furthermore, we take the automation potential of controls included in the Consensus Audit Guidelines into account. Finally, we provide an overview of security applications that support automation in the operation of information security controls to increase the efficiency of information security management. © 2011 IEEE.


Demontis P.,University of Sassari | Gulin-Gonzalez J.,University of Information Sciences | Suffritti G.B.,University of Sassari
Journal of Physical Chemistry C | Year: 2012

A computational molecular dynamics study about structural, vibrational, and dynamical properties of water adsorbed in AFI zeolite types, AlPO 4-5, using a newly extended potential model and its all-silica isomorph, SSZ-24, is reported. The investigation was performed at different temperatures and for different water coverage (loading). The results of our molecular dynamics simulations allow a better comprehension of the water's properties in these zeolites. The computed structural data agree very well with the experiments for AlPO 4-5, reproducing the presence of helicoidal chains of the adsorbed water molecules, but predict a different arrangement of water molecules for SSZ-24, namely linear chains running along the channel axis. The diffusion coefficient of water at different loadings and temperature for both AlPO 4-5 and SSZ-24 were computed. According to our results in the temperature range 230-300 K, the diffusivity at the highest considered loading is 1 order of magnitude smaller than in bulk water, in essential agreement with the experiment. The results of our molecular dynamics simulations allow a better comprehension of the water's properties in these zeolites. © 2012 American Chemical Society.


Demontis P.,University of Sassari | Gulin-Gonzalez J.,University of Information Sciences | Masia M.,University of Sassari | Suffritti G.B.,University of Sassari
Journal of Physics Condensed Matter | Year: 2010

In order to study the behaviour of water adsorbed in zeolites, which are microporous crystalline aluminosilicates, whose channels and cavities of nanometric dimensions can host many different molecules, we developed a sophisticated empirical potential for water, including the full flexibility of the molecule and the correct response to the electric field generated by the cations and by the charged atoms of the aluminosilicate framework. The reproduction of experimental data by our potential model is similar or even better than that obtained from the first principles methods. The results of molecular dynamics simulations of water confined in a variety of zeolites (worm-like clusters in silicalite, spherical nanoclusters in zeolite A and ice-like nanotubes in AlPO4-5 and SSZ-24) at different temperatures and coverage (loading) are discussed in connection with the experimental data, whose overall good reproduction encourages the attempt of an atomic-scale description of structural and dynamical phenomena occurring in confined water, in particular in the supercooled regime. The results are also compared with simulations and experimental data on bulk water. © 2010 IOP Publishing Ltd.


Suffritti G.B.,University of Sassari | Demontis P.,University of Sassari | Gulin-Gonzlez J.,University of Information Sciences | Masia M.,University of Sassari
Journal of Physics Condensed Matter | Year: 2012

In order to study dynamic crossover phenomena in nanoconfined water we performed a series of molecular dynamics (MD) computer simulations of water clusters adsorbed in zeolites, which are microporous crystalline aluminosilicates containing channels and cavities of nanometric dimensions. We used a sophisticated empirical potential for water, including the full flexibility of the molecule and the correct response to the electric field generated by the cations and by the charged atoms of the aluminosilicate framework. In addition, the full flexibility of the aluminosilicate framework was included in the calculations. Previously reported and new simulations of water confined in a number of different types of zeolites in the temperature range 100300K and at various coverage are discussed in connection with the experimental data. Dynamic crossover phenomena are found in all the considered cases, in spite of the different shape and size of the clusters, even when the confinement hinders the formation of tetrahedral hydrogen bonds for water molecules. Hypotheses about the possible dynamic crossover mechanisms are proposed. © 2012 IOP Publishing Ltd.


Demontis P.,University of Sassari | Gulin-Gonzalez J.,University of Information Sciences | Jobic H.,CNRS Research on Catalysis and Environment in Lyon | Suffritti G.B.,University of Sassari
Journal of Physical Chemistry C | Year: 2010

The behavior of water confined in nanoporous materials and, in particular, in zeolites is an important clue for understanding many various phenomena in geophysics, catalysis, and environmental science fields. In this study, the diffusion of water in zeolites Na A and NaCa A at three different loadings is studied by a classical molecular dynamics simulation technique. The results are in semiquantitative agreement with PFG NMR and QENS data, despite the good reproduction of structural and vibrational properties of the considered systems. Activation energies are in the range of those derived by the two experimental techniques. A detailed analysis of the simulated trajectories allows furnishing suggestions about the diffusion mechanism, involving a coordinated motion of water molecules and cations. Finally, the mobility of the cations, which depends strongly on the number of adsorbed water molecules and the nature of cations themselves, is investigated. The activation energies for the diffusion of the cations are too high to obtain quantitative results from MD simulations, but the observed motions can be of interest in view of the simulation of cation exchange in zeolites. © 2010 American Chemical Society.

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