Browsing by Author "Cuadros Vargas, Ernesto"

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    A biologically motivated computational architecture inspired in the human immunological system to quantify abnormal behaviors to detect presence of intruders
    (Scopus, 2006) Florez Choque, Omar; Cuadros Vargas, Ernesto
    In this article is presented a detection model of intruders by using an architecture based in agents that imitates the principal aspects of the Immunological System, such as detection and elimination of antigens in the human body. This model is based on the hypothesis of an intruder which is a strange element in the system, whereby can exist mechanisms able to detect their presence. We will use recognizer agents of intruders (Lymphocytes-B) for such goal and macrophage agents (Lymphocytes-T) for alerting and reacting actions. The core of the system is based in recognizing abnormal patterns of conduct by agents (Lymphocytes-B), which will recognize anomalies in the behavior of the user, through a catalogue of Metrics that will allow us quantify the conduct of the user according to measures of behaviors and then we will apply Statistic and Data Minig technics to classify the conducts of the user in intruder or normal behavior. Our experiments suggest that both methods are complementary for this purpose. This approach was very flexible and customized in the practice for the needs of any particular system. © 2006 International Federation for Information Processing.
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    ACM/IEEE-CS computer science curricula 2013: Implementing the final report
    (Association for Computing Machinery, 2014) Sahami, Mehran; Roach, Steve; Cuadros Vargas, Ernesto; Hawthorne, Elizabeth; Kumar, Amruth; LeBlanc, Richard; Reed, David; Seker, Remzi
    For over 40 years, the ACM and IEEE-Computer Society have sponsored international curricular guidelines for undergraduate programs in computing. The rapid evolution and expansion of the computing field and the growing number of topics in computer science have made regular revision of curricular recommendations necessary. Thus, the Computing Curricula volumes are updated on an approximately 10-year cycle, with the aim of keeping curricula modern and relevant. The latest volume in the series, Computer Science Curricula 2013 (CS2013), is due for release in the Fall of 2013. This panel seeks to inform the SIGCSE community about the final version of the report, provide insight on interpreting the CS2013 guidelines, and give guidance regarding how the guidelines may be implemented at different institutions.
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    An improve to human computer interaction, recovering data from databases through spoken natural language
    (Scopus, 2007) Florez Choque, Omar; Cuadros Vargas, Ernesto
    The fastest and most straightforward way of communication for mankind is the voice. Therefore, the best way to interact with computers should be the voice too. That is why at the moment men are searching new ways to interact with computers. This interaction is improved if the words spoken by the speaker are organized in Natural Language. In this article, it is proposed a model to recover information from databases through queries in Spanish Natural Language using the voice as the way of communication. This model incorporates a Hybrid Intelligent System based on Genetic Algorithms and a Kohonen Self-Organizing Map (SOM) to recognize the present phonemes in a word through time. This approach allows us to remake up a word with speaker independence. Furthermore, it is proposed the use of a compiler with type 2 grammar according to the Chomsky Hierarchy to support the syntactic and semantic structure in Spanish language. Our experiments suggest that the Spoken Natural Language improves notably the Human-Computer interaction when compared with traditional input methods such as: mouse or keybord. © Springer-Verlag Berlin Heidelberg 2007.
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    Computer science curriculum 2013: Reviewing the strawman report from the ACM/IEEE-CS task force
    (Scopus, 2012) Sahami, Mehran; Roach, Steve; Cuadros Vargas, Ernesto; Reed, David
    Beginning over 40 years ago with the publication of Curriculum 68, the major professional societies in computing - ACM and IEEE-Computer Society - have sponsored various efforts to establish international curricular guidelines for undergraduate programs in computing. As the field has grown and diversified, so too have the recommendations for curricula. There are now guidelines for Computer Engineering, Information Systems, Information Technology, and Software Engineering in addition to Computer Science. These volumes are updated regularly with the aim of keeping computing curricula modern and relevant. In the Fall of 2010, work on the next volume in the series, Computer Science 2013 (CS2013), began. Considerable work on the new volume has already been completed and a first draft of the CS2013 report (known as the Strawman report) will be complete by the beginning of 2012. This panel seeks to update and engage the SIGCSE community in providing feedback on the Strawman report, which will be available shortly prior to the SIGCSE conference. © 2012 Authors.
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    DB-GNG: A constructive self-organizing map based on density
    (Scopus, 2007) Ocsa, Alexander; Bedregal, Carlos; Cuadros Vargas, Ernesto
    Nowadays applications require efficient and fast techniques due to the growing volume of data and its increasing complexity. Recent studies promote the use of Access Methods (AMs) with Self-Organizing Maps (SOMs) for a faster similarity information retrieval. This paper proposes a new constructive SOM based on density, which is also useful for clustering. Our algorithm creates new units based on density of data, producing a better representation of the data space with a less computational cost for a comparable accuracy. It also uses AMs to reduce considerably the Number of Distance Calculations during the training process, outperforming existing constructive SOMs by as much as 89%. ©2007 IEEE.
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    DBM*-Tree: An efficient metric acces method
    (Scopus, 2007) Ocsa, Alexander; Cuadros Vargas, Ernesto
    In this paper we propose a new dynamic Metric Access Method (MAM) called DBM*-Tree, which uses precomputed distances to reduce the construction cost avoiding repeated calculus of distance. Making use of the pre-calculated distances cost of similarity queries are also reduced by taking various local representative objects in order to increment the pruning of irrelevant elements during the query. We also propose a new algorithm to select the suitable subtree in the insertion operation, which is an evolution of the previous methods. Empiric tests on real and synthetic data have shown evidence that DBM*-Tree requires 25 % less average distance computing than Density Based Metric Tree (DBM-Tree) which is one of the most efficient and recent MAM found in the literature. © Copyright 2007 ACM.
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    Evolution of the Computing Curricula for Computer Science in Latin America 2013
    (Scopus, 2013) Cuadros Vargas, Ernesto; Silva Sprock, Antonio; Delgado Castillo, Danet; Hernández Bieliukas, Yosly; Collazos, Cesar
    Programs Computer Science in Latin America have suffered in recent years very large growth. However, in many cases their programs are not befitting a curriculum model that allows adaptation to any country of the region or the world. This paper presents an experience of building a model based on the Computing Curricula that allow it to be adopted in various parts of Latin America. © 2013 IEEE.
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    Improving human computer interaction through spoken natural language
    (Scopus, 2007) Florez Choque, Omar; Cuadros Vargas, Ernesto
    The fastest and most straightforward way of communication for mankind is the voice. Therefore, the best way to interact with computers should be the voice too. That is why at the moment men are searching new ways to interact with computers. This interaction is improved if the words spoken by the speaker are organized in Natural Language. In this article, it is proposed a model to recover information from databases through queries in Spanish Natural Language using the voice as the way of communication. This model incorporates a Hybrid Intelligent System based on Genetic Algorithms and a Kohonen Self-Organizing Map (SOM) to recognize the present phonemes in a word through time. This approach allows us to remake up a word with speaker independence. Furthermore, it is proposed the use of a compiler with type 2 grammar according to the Chomsky Hierarchy to support the syntactic and semantic structure in Spanish language. Our experiments suggest that the Spoken Natural Language improves notably the Human-Computer interaction when compared with traditional input methods such as: mouse or keybord. © 2007 IEEE.
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    Introduction to the SAM-S M* and MAM-S M* families
    (Scopus, 2005) Cuadros Vargas, Ernesto; Romero, Francelin
    In this paper, two new families of constructive Self-Organizing Maps (SOMs), SAM-SOM* and MAM-SOM*, are proposed. These families are specially useful for information retrieval from large databases, high-dimensional spaces and complex distance functions which usually consume a long time. They are generated by incorporating Spatial Access Method (SAM) and Metric Access Method (MAM) into SOM with the maximum insertion rate, i.e. the case when a new unit is created for each pattern presented to the network. In this specific case, the network presents interesting advantages and acquires new properties which are quite different of traditional SOM. In a constructive SOM, if new units are rarely inserted into network, the training algorithm would probably need a long time to converge. On the other hand, if new units are inserted frequently, the training algorithm would not have enough time to adapt these units to the data distribution. Besides, training time is increased because the search for the winning neuron is traditionally performed sequentially. The use of SAM and MAM combined with SOM open the possibility of training constructive SOM with as much units as existing patterns with less time and interesting advantages compared with both models: Kohonen network SOM and SAM-SOM model (SOM using SAM). Advantages and drawbacks of these new families are also discussed. These new families are useful to improve both SOM and SAM techniques.
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    ITiCSE: The next decade
    (Association for Computing Machinery, 2014) Pears, Arnold; Clear, Alison; Cassel, Lillian; Cuadros Vargas, Ernesto; Dagiene, Valentina; Laxer, Carie
    This year marks the 19th ITiCSE conference. This panel will provide conference delegates, both frequent attendees and those new to ITiCSE the opportunity to reect on the conference's success as one of the premier international com- puter science education conferences and to discuss potential future directions for the conference. Copyright © 2014 ACM.
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    MFSRank: An unsupervised method to extract keyphrases using semantic information
    (Scopus, 2011) Enrique López, Roque; Barreda, Dennis; Tejada, Javier; Cuadros Vargas, Ernesto
    This paper presents an unsupervised graph-based method to extract keyphrases using semantic information. The proposed method has two stages. In the first one, we have extracted MFS (Maximal Frequent Sequences) and built the nodes of a graph with them. The weight of the connection between two nodes has been established according to common statistical information and semantic relatedness. In the second stage, we have ranked MFS with traditionally PageRank algorithm; but we have included ConceptNet. This external resource adds an extra weight value between two MFS. The experimental results are competitive with traditional approaches developed in this area. MFSRank overcomes the baseline for top 5 keyphrases in precision, recall and F-score measures. © 2011 Springer-Verlag.
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    Using large databases and self-organizing maps without tears
    (Scopus, 2006) Bedregal, Carlos; Cuadros Vargas, Ernesto
    Nowadays the need to process lots of complex multimedia databases is more frequent. Recent investigations such as MAM-SOM* and SAM-SOM* families propose the combination of Self-Organizing Maps (SOM) with Access Methods for a faster similarity information retrieval. In this investigation we present experimental results using recent Access Methods such as Slim-Tree and Omni-Sequential that show the improvement acquired by these techniques and their properties in contrast with a traditional SOM network, observing up to 90% of performance improvement. © 2006 IEEE.