Instituto Politécnico Nacional

About: Instituto Politécnico Nacional is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Population & Control theory. The organization has 43351 authors who have published 63315 publications receiving 938532 citations. The organization is also known as: Instituto Politécnico Nacional & Instituto Politecnico Nacional.

Identification and Properties of the Photospheric Emission in GRB090902B

Abstract: The Fermi Gamma-ray Space Telescope observed the bright and long GRB090902B, lying at a redshift of z = 1822 Together the Large Area Telescope (LAT) and the Gamma-ray Burst Monitor (GBM) cover th

Influence of steam heating on the properties of pine ( Pinus pinaster ) and eucalypt ( Eucalyptus globulus ) wood

Abstract: Heat treatment of Pinus pinaster and Eucalyptus globulus woods, two important species in Portugal, was performed in the absence of air by steaming, inside an autoclave, for 2–12 h at 190–210°C. Mass losses increased with treatment time and temperature reaching 7.3% for pine and 14.5% for eucalypt wood. The wood behaviour with moisture was improved. The equilibrium moisture content decreased by 46% for pine and 61% for eucalypt, the dimensional stability increased (maximum anti-shrinking efficiency in the radial direction of 57 and 90% for pine and eucalypt, respectively) and the surface wettability was lowered. In relation to mechanical properties, the modulus of elasticity was little affected (maximum decrease of 5% for pine and 15% for eucalypt) but the bending strength was reduced (by 40% at 8% mass loss for pine and 50% at 9% mass loss for eucalypt wood). The variation of properties was related to treatment intensity and mass loss but significant improvements could already be obtained for a 3–4% mass loss without impairing the mechanical resistance. The response of eucalypt was higher than that of pinewood. Heat treatment of eucalypt wood shows an interesting potential to improve the wood quality for solid timber products.

On the effect of torsion on a helical pipe flow

Abstract: An orthogonal coordinate system along a generic spatial curve has been introduced, and the Navier-Stokes equations for a steady incompressible viscous flow have been explicitly written in this frame of reference. As an application the flow in a helical pipe has been studied, and, formdii 5f curvature and torsion small compared with the radius of the pipe, the flow has been considered as a perturbed Poiseuille flow. The result is that for curvatures and torsions of the same order and for low Reynolds number the curvature induces on the flow a first-order effect on the parameter e =κa, where κ is the curvature and a the radius of the pipe, while the effect of the torsion on the flow is of the second order in E. This last result disagrees with those of Wang (1981), who, adopting a non-orthogonal coordinate system, found a first-order effect of torsion on the flow.

Syntactic N-grams as machine learning features for natural language processing

Abstract: In this paper we introduce and discuss a concept of syntactic n-grams (sn-grams). Sn-grams differ from traditional n-grams in the manner how we construct them, i.e., what elements are considered neighbors. In case of sn-grams, the neighbors are taken by following syntactic relations in syntactic trees, and not by taking words as they appear in a text, i.e., sn-grams are constructed by following paths in syntactic trees. In this manner, sn-grams allow bringing syntactic knowledge into machine learning methods; still, previous parsing is necessary for their construction. Sn-grams can be applied in any natural language processing (NLP) task where traditional n-grams are used. We describe how sn-grams were applied to authorship attribution. We used as baseline traditional n-grams of words, part of speech (POS) tags and characters; three classifiers were applied: support vector machines (SVM), naive Bayes (NB), and tree classifier J48. Sn-grams give better results with SVM classifier.

Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

Abstract: In microprocessor-based systems, large power savings can be achieved through reduction of the transition activity of the on- and off-chip buses. This is because the total capacitance being switched when a voltage change occurs on a bus line is usually sensibly larger than the capacitive load that must be charged/discharged when internal nodes toggle. In this paper, we propose an encoding scheme which is suitable for reducing the switching activity on the lines of an address bus. The technique relies on the observation that, in a remarkable number of cases, patterns traveling onto address buses are consecutive. Under this condition it may therefore be possible, for the devices located at the receiving end of the bus, to automatically calculate the address to be received at the next clock cycle; consequently, the transmission of the new pattern can be avoided, resulting in an overall switching activity decrease. We present analytical and experimental analyses showing the improved performance of our encoding scheme when compared to both binary and Gray addressing schemes, the latter being widely accepted as the most efficient method for address bus encoding. We also propose power and timing efficient implementations of the encoding and the decoding logic, and we discuss the applicability of the technique to real microprocessor-based designs.