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Traditionally, Database Management Systems (DBMS) allow queries whose evaluation is based on Boolean logic, i.e., verify whether or not a tuple in the query meets a given condition. However, these responses do not always meet the needs of a user, as he/she could prefer intermediate answers to their questions. Currently, there are DBMS that allow to specify fuzzy queries as well as to handle vague...
In this paper, a new method for systolic peak detection of pulse wave signals is presented. This method is based on the detection of each peak by the correlation with adaptive Gaussian function template (GFT). The point of maximum correlation is selected as a systolic peak. Its accuracy and noise robustness were evaluated over a set of annotated signals (arterial blood pressure) from CSL database...
Currently, we can observe the growing of the use of mobile devices as a media for both Internet access and carrying out purchase and sale of products and services. Commonly, E- commerce platforms are enabled by either proprietary systems or by buying ads on specialized websites. This scenario involves the adoption of strategies based on e-commerce servers, which represent a non-scalable strategy....
In this paper we present a genetic algorithm for solving the gemstone cutting problem. The goal of this problem is to find the largest faceted cut design which fits inside a given rough gemstone. We propose a fast algorithm for finding the largest scaling factor of a faceted cut, once its center and orientation angles are given, as well as a real-valued genetic algorithm for finding the cut having...
In wireless sensors networks (WSNs) the efficient use of the sensors' energy is a key point to extend the network lifetime. In the literature there are several different techniques to reduce the energy consumption of the sensors. Sensor node clustering is one of these techniques commonly used. However, finding an optimal clustering in WSNs is a NP-Hard problem, thus heuristics and metaheuristics are...
When working with floating point numbers the result is only an approximation of a real value and errors generated by rounding or by instability of the algorithms can lead to incorrect results. We can't affirm the accuracy of the estimated answer without the contribution of an error analysis. Interval techniques compute an interval range, with the assurance the answer belongs to this range. Using intervals...
This article presents data and documents regarding the /Datatron Burroughs B-205/, which was the first computer to operate in a Brazilian university. It was installed at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) in 1960 and was used for scientific and engineering computations. The paper elaborates on the academic, scientific and symbolic meanings of this event to the history of...
The theory of the pair more able, proposed by Vygotsky addresses the collaborative learning using pairs of people with different cognitive development, where the subject further developed can help and provide experiences to the partner so that his level of learning increases. Within the agile idea of pair programming implicitly obeys this theory. The idea of this paper is to provide that a larger...
This paper presents the results of a research aimed at studying the effect of information and communications technology (ICT) on productivity, using the data of the Costa Rican innovation survey 2008. The results obtained show that the ICT variables considered contribute to explain the productivity of the companies participating in the above-mentioned survey. However, these variables have an indirect,...
This work presents a new mining model to train Radial Basis Neural Network (RBNN) for short term prediction. Training is performed in two phases. First, weights of the radial basis function (RBF) are trained and in the second phase, a competitive cooperative coevolutionary multiobjective algorithm is used to determine the parameters for each RBF node. The model has been applied to real problems in...
Automate the classification of agro-industrial products, requieres solving problems such as the subjective interpretation of parameters and characteristics that define the selection process. Evaluate these parameters is subjective, as both consumers and producers estimate different values depending on their interests, with reference to the offer and demand of products in the market. Likewise, the...
In this work an automatic classifier of undergraduate final projects based on text mining is presented. The dataset, comprising documents from four professional categories, was represented by means the vector space model with different index metrics. Also, a number of techniques for reduction dimensionality were applied over the word space. In order to construct the classification model the K-nearest...
This article describes the efforts of the Brazilian Software industry to export its products. The companies reunited in its category's association, the ASSESPRO - Association of the Brazilian Companies of Software and Services, motivated by the competition with foreign enterprises in the home market, got organized to spread internationally its products, participating in major computing events. The...
This paper aims to show the design and prototyping of a multi-core platform that includes hardware resources to multi-core embedded processor virtualization. The virtualization process may configure the cores' address space and the association of cores to create independents groups of cores inside the platform. The platform was prototyped and validated through simulation of applications devoted to...
Cloud computing promises to offer great opportunities for research groups; however when researchers want to execute applications in cloud infrastructures many complex processes must be accomplished. In this paper we present the e-Clouds project which will allow researchers to easily execute many applications on public Infrastructure as a Service (IaaS) solutions. Designed for being a Software as a...
This paper proposes a redefinition of the traditional concepts of T-Learning in which the television set is the most important component and the only device able to deploy applications and services. It is presented an IDTV-based learning system which allows different Interactive Television platforms and different final user devices (Television Set, PC, Mobile Phones, Tablets, etc.) to connect and...
The worldwide acceptance of software as an important aspect in daily life, and the continued growth of the software development industry, have influenced the creation of new companies (small and medium size) during the last decade. The rapid pace with which the companies are founded makes them to experiment some drawbacks such as informality in the software development process, and technological deficiencies...
This paper presents a solution, based on genetic algorithm, to the problem of automatic generation of timetable of scale work for companies considering various criteria such as those observed in the availability and suitability of resources, labor law, employees personal preferences and distribution of labor demand over period. Were used as references to the needs of a call center company that needs...
The radio spectrum is a finite resource and the current spectrum licensing model has led to a fenomenon known as spectrum scarcity. Several approaches have been presented in order to improve the effectiveness of spectrum utilization. This works main contribution is is to present an approach to opportunistic spectrum sensing and allocation focused on maximizing spectrum usage while minimizing communication...
There is evidence that women tend to be underrepresented in computer science programs (CS) in many countries. Based on this fact, we analyzed the gender situation in Costa Rica finding that this situation also applies to the four public universities in the country. Furthermore, similar to the case of the U.S., the percentage of women graduating from CS programs from such universities is decreasing...
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