A Label space reduction algorithm for P2MP LSPs using asymmetric tunnels

The aim of traffic engineering is to optimise network resource utilization. Although several works on minimizing network resource utilization have been published, few works have focused on LSR label space. This paper proposes an algorithm that uses MPLS label stack features in order to reduce the number of labels used in LSPs forwarding. Some tunnelling methods and their MPLS implementation drawbacks are also discussed. The algorithm described sets up the NHLFE tables in each LSR, creating asymmetric tunnels when possible. Experimental results show that the algorithm achieves a large reduction factor in the label space. The work presented here applies for both types of connections: P2MP and P2P

Speculative parallelization of multipath radiosity algorithm

In computer graphics, global illumination algorithms take into account not only the light that comes directly from the sources, but also the light interreflections. This kind of algorithms produce very realistic images, but at a high computational cost, especially when dealing with complex environments. Parallel computation has been successfully applied to such algorithms in order to make it possible to compute highly-realistic images in a reasonable time. We introduce here a speculation-based parallel solution for a global illumination algorithm in the context of radiosity, in which we have taken advantage of the hierarchical nature of such an algorithm

Partial disjoint path for multi-layer protection in GMPLS networks

In this paper, different recovery methods applied at different network layers and time scales are used in order to enhance the network reliability. Each layer deploys its own fault management methods. However, current recovery methods are applied to only a specific layer. New protection schemes, based on the proposed partial disjoint path algorithm, are defined in order to avoid protection duplications in a multi-layer scenario. The new protection schemes also encompass shared segment backup computation and shared risk link group identification. A complete set of experiments proves the efficiency of the proposed methods in relation with previous ones, in terms of resources used to protect the network, the failure recovery time and the request rejection ratio

Conceptuals Mentefactos as a Didactic-Pedagogical Strategy of the Basic Concepts in the Sampling Theory Applyed to the Health Research

In populational sampling it is vitally important to clarify and discern: first, the design or sampling method used to solve the research problem; second, the sampling size, taking into account different components (precision, reliability, variance); third, random selection and fourth, the precision estimate (sampling errors), so as to determine if it is possible to infer the obtained estimates from the target population. The existing difficulty to use concepts from the sampling theory is to understand them with absolute clarity and, to achieve it, the help from didactic-pedagogical strategies arranged as conceptual “mentefactos” (simple hierarchic diagrams organized from propositions) may prove useful. This paper presents the conceptual definition, through conceptual “mentefactos”, of the most important populational probabilistic sampling concepts, in order to obtain representative samples from populations in health research.

Formas identitarias en la región fronteriza de Táchira (Venezuela) ‒ Norte de Santander (Colombia)

El presente artículo busca describir las formas identitarias en la región fronteriza de Táchira (Venezuela) ― Norte de Santander (Colombia). El diseño de la investigación se corresponde con la metodología cualitativa, y adopta como método la Teoría Fundamentada; se aplicó el muestreo teórico en combinación con la saturación teórica para analizar las entrevistas de un conjunto de informantes clave ubicados a ambos lados del límite internacional. Así mismo, se hizo una revisión de la literatura especializada sobre identidad y formas de identidad contemplando los aportes de diversas disciplinas científicas. Los datos son analizados siguiendo la línea de codificación teórica (abierta, axial y selectiva) y la inducción analítica para revelar conceptos emergentes y desvelar sus vinculaciones. Los resultados evidencian elementos comunes y divergentes en las formas identitarias: la “identidad personal” (elementos de autopercepción, parentescos, doble identidad y diferenciación identitaria), la “identidad fronteriza” (la región se percibe como diferente del resto), la “identidad nacional” (historia, conciencia del límite y símbolos), los cuales coexisten en los habitantes de frontera. Los “aspectos actitudinales” muestran aceptación y rechazo frente al desempeño de las principales instituciones presentes en la dinámica fronteriza. Las formas identitarias encontradas en la región confirman los estudios sobre identidad y fronteras, aunque es de destacar que la experiencia del límite internacional no alcanza a desdibujar las percepciones nacionales estereotipadas del otro.

Medical image registration based on random line sampling

One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram

A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI

Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In this paper, we introduce a new Monte Carlo-based fiber tracking approach to estimate brain connectivity. One of the main characteristics of this approach is that all parameters of the algorithm are automatically determined at each point using the entropy of the eigenvalues of the diffusion tensor. Experimental results show the good performance of the proposed approach

View-dependent information theory quality measures for pixel sampling and scene discretization in flatland

In this paper, we present view-dependent information theory quality measures for pixel sampling and scene discretization in flatland. The measures are based on a definition for the mutual information of a line, and have a purely geometrical basis. Several algorithms exploiting them are presented and compare well with an existing one based on depth differences

Postcolonial language : rejection and subversion

Postcolonial literature is often depicted as a form of cultural translation, a privileged space from which to rewrite history and retroactively reflect upon the colonial experience. Based on this notion of cultural translation, the article seeks to examine, respectively, Aimé Césaire’s Une Tempête (1969) and J. M. Coetzee’s Foe (1986) as regards the “written-back” characters Caliban and Friday. Both characters will be compared and contrasted concerning their peculiar use of language as an instrument of power, subversion, and rejection of the European ruling.

Validation of an automated algorithm for auditory brainstem response testing

This paper discusses the auditory brainstem response (ABR) testing for infants.

Evaluation of a feedback equalization algorithm in the CID Wearable Digital Hearing Aid

This paper describes the results of an investigation which examined the efficacy of a feedback equalization algorithm incorporated into the Central Institute for the Deaf Wearable Digital Hearing Aid. The study examined whether the feedback equalization would allow for greater usable gains when subjects listened to soft speech signals, and if so, whether or not this would improve speech intelligibility.