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Uruguaiana, Brazil

Vogel H.L.M.,UNIPAMPA | Schumacher M.V.,Federal University of Santa Maria | Truby P.,Albert Ludwigs University of Freiburg
Floresta | Year: 2012

The present study was conducted in a fragment of a seasonal deciduous forest in Itaara (State of Rio Grande do Sul, Brazil). This research has as its main aim to evaluate the monthly leaves production and nutrients transfer to the soil of seven native species. Six plots (25 m × 17 m) were delimited to collect the deposited leaves, with five round collectors in each plot, in a total of 30 collectors. The deposited leaves had been collected monthly during a period of 24 months. In such material it was determined the content of nutrients as N, P, K, Ca, Mg, S, Fe, Mn and Zn. In laboratory, the leaves were identified into seven native species: Ocotea puberula (A. Rich.) Nees, Ocotea pulchella Mart., Nectandra megapotamica (Spreng.) Mez, Matayba elaeagnoides Radlk., Cupania vernalis Cambess., Parapiptadenia rigida (Benth.) Brenan and Schinus molle L. The results revealed a variation in deposition in relation to the amount of leaves as well as in forest soil among the native species analyzed. The tree species which transferred more litter and nutrients (mainly N, P, K, Ca and S) was Parapiptadenia rigida.

Dias K.N.,Federal University of Pampa | Welfer D.,Federal University of Santa Maria | Kazienko J.F.,UNIPAMPA
IEEE Latin America Transactions | Year: 2016

For the treatment of Hospital-Acquired Pneumonia (HAP) is necessary accuracy in diagnosis, according to the guidelines of a hospital. Moreover, the diagnosis and treatment of HAP should be performed immediately. To assist in this process, this work presents the PneumoH, which consists in a mobile application for supporting to physicians in the HAPs diagnosis and treatment. In order to evaluate PneumoH, an acceptance test was accomplished in a high circulation public hospital, relying on the participation of an infectious diseases expert. Our preliminary evaluation of the PneumoH indicates that it is useful for clinical practice. © 2003-2012 IEEE.

Mussoi E.M.,University of Santa Maria in Ecuador | Falkembach G.A.M.,Faculdades QI | Flores M.L.P.,UNIPAMPA
2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015 | Year: 2015

This article focuses on the use of Information and Communication Technologies in education aimed at learning process. The purpose of this article is to address the resources offered by social networks, which can be used by the teacher in the teaching process to stimulate the student to study. The methodology of this study is a literature review that shows the trend of increasing use of the Internet including social networks, promoting reflection on the impact of these resources on society, culture and education. In conclusion of this reflection can design that among the new pedagogical strategies to be used by teachers to motivate students to study are social networks, specifically Facebook and the challenge is to train teachers to work with this feature productively. © 2015 AISTI.

Ghissoni S.,UNIPAMPA | Da Costa E.A.C.,Catholic University of Pelotas | Da Luz A.G.,SENAC
IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC | Year: 2015

This paper addresses the reordering of coefficients, i.e., twiddle factors in multicore FFT in order to obtain power efficient datapaths. The coefficients are divided in smaller ones into the different cores and they are reordered through the Improved Anedma heuristic-based algorithm. According to the characteristics of the FFT algorithms, which involve multiplications of input data with appropriate coefficients, the best ordering of these operations, into each core, can contribute for the reduction of the switching activity, what leads to the minimization of power consumption in the FFTs. Therefore, the appropriate ordering of coefficients in the different cores allows finding the best architecture in terms of both performance and power consumption. The FFT architectures were synthesized using SYNOPSYS Design Compiler for the XFAB 180 nm technology. The results show that it is possible to achieve power reduction in the FFTs close to 9%, on average, after reordering the twiddle factors in the different cores. © 2014 IEEE.

De Oliveira A.B.,Federal University of Rio Grande do Sul | Da Silva P.R.,UNIPAMPA | Barone D.A.C.,Federal University of Rio Grande do Sul
Pattern Recognition Letters | Year: 2015

Abstract In this paper we propose a new method for the shape characterization of boundaries based on complex networks and spectral graph theory, called CNSS (complex network spectrum signature). The method creates a complex network with boundary points of 2D shapes, and the dynamic of the network is analyzed by means of the spectral graph theory. The eigenvalues of the graph spectrum are combined to create a shape descriptor or signature that is robust under rotation, scale, noise and occlusions. The graph spectrum is associated with its topological properties and can be used to recognize the patterns of a shape. The CNSS method has been tested with a 2D shape benchmark database and is employed for action human activity shapes. The method achieved very good results for discriminating object shapes in different classes, including in situations where there are objects with high levels of within-class variation, partial occlusion and noise contamination. © 2015 Elsevier B.V.

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