An autonomic framework for enhancing the quality of data grid services

Data grid services have been used to deal with the increasing needs of applications in terms of data volume and throughput. The large scale, heterogeneity and dynamism of grid environments often make management and tuning of these data services very complex. Furthermore, current high-performance I/O approaches are characterized by their high complexity and specific features that usually require specialized administrator skills. Autonomic computing can help manage this complexity. The present paper describes an autonomic subsystem intended to provide self-management features aimed at efficiently reducing the I/O problem in a grid environment, thereby enhancing the quality of service (QoS) of data access and storage services in the grid. Our proposal takes into account that data produced in an I/O system is not usually immediately required. Therefore, performance improvements are related not only to current but also to any future I/O access, as the actual data access usually occurs later on. Nevertheless, the exact time of the next I/O operations is unknown. Thus, our approach proposes a long-term prediction designed to forecast the future workload of grid components. This enables the autonomic subsystem to determine the optimal data placement to improve both current and future I/O operations.

Articulación del sistema regional de onnovación para desarrollar capacidad de I+D+i

El sector de las Pequeñas y Medianas Industrias(PYMIS) constituye una proporción importante del tejido industrial del estado Bolívar. Sin embargo, en los últimos años se ha visto afectada su competitividad por la deficiencia en la capacidad de I+D+i, para la creación de nuevos productos que responda a las necesidades del mercado. El presente proyecto se planteó como objetivo evaluar, caracterizar y diseñar un modelo para articular el Sistema Regional de Innovación (SRI), para el desarrollo de la capacidad de la I+D+i, en el sector de las PYMIS del estado Bolívar, Venezuela. El estudio se realizó a través de una investigación no experimental, tipo evaluativo y aplicado. La recolección de la información se realizo mediante la aplicación de tres tipos de encuestas, destinadas a los siguientes actores que conforman el SRI: PYMIS, centros y laboratorios de I+D e instituciones financieras públicas y privadas. En cada una se consideró el rol y las relaciones con la institución gubernamental que define la política de ciencia y tecnología. Entre las conclusiones se tiene que la falta de articulación de los actores del SRI, afecta al aprovechamiento de los recursos, a la infraestructura existente para la I+D+i, y a la respuesta por parte de las PYMIS a las oportunidades del mercado.

Distributed primary user identification from imprecise location information

We study a cognitive radio scenario in which the network of sec- ondary users wishes to identify which primary user, if any, is trans- mitting. To achieve this, the nodes will rely on some form of location information. In our previous work we proposed two fully distributed algorithms for this task, with and without a pre-detection step, using propagation parameters as the only source of location information. In a real distributed deployment, each node must estimate its own po- sition and/or propagation parameters. Hence, in this work we study the effect of uncertainty, or error in these estimates on the proposed distributed identification algorithms. We show that the pre-detection step significantly increases robustness against uncertainty in nodes' locations.

B.I.E.M. y estudio de singularidades en problemas de potencial

El objeto del presente artículo es el estudio de singularidades en problemas de Potencial mediante el uso del Método de las Ecuaciones Integrales sobre el contorno del dominio en estudio. Frente a soluciones basadas en la mejora de la discretización, análisis asintótico o introducción de funciones de forma que representen mejor la evolución de la función, una nueva hipótesis es presentada: el término responsable de la singularidad es incluido en la integral sobre el contorno de la función auxiliar. Los resultados obtenidos mejoran los de soluciones anteriores simplificando también el tiempo de cálculo = The subject of this paper is the modelling of singularities in potential problems, using the Boundary Integral Equation Method. As a logical alternative to classical methods (discretization refinement, asymptotic analysis, high order interpolatory functions) a new hypothesis is presented: the singularity responsible term is included in the interpolatory shape function. As shown by several exemples results are splendid and computer time radically shortened.

Low-resource language recognition using a fusion of phoneme posteriorgram counts, acoustic and glottal-based i-vectors

This paper presents a description of our system for the Albayzin 2012 LRE competition. One of the main characteristics of this evaluation was the reduced number of available files for training the system, especially for the empty condition where no training data set was provided but only a development set. In addition, the whole database was created from online videos and around one third of the training data was labeled as noisy files. Our primary system was the fusion of three different i-vector based systems: one acoustic system based on MFCCs, a phonotactic system using trigrams of phone-posteriorgram counts, and another acoustic system based on RPLPs that improved robustness against noise. A contrastive system that included new features based on the glottal source was also presented. Official and postevaluation results for all the conditions using the proposed metrics for the evaluation and the Cavg metric are presented in the paper.

Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms

Case-based reasoning (CBR) is a unique tool for the evaluation of possible failure of firms (EOPFOF) for its eases of interpretation and implementation. Ensemble computing, a variation of group decision in society, provides a potential means of improving predictive performance of CBR-based EOPFOF. This research aims to integrate bagging and proportion case-basing with CBR to generate a method of proportion bagging CBR for EOPFOF. Diverse multiple case bases are first produced by multiple case-basing, in which a volume parameter is introduced to control the size of each case base. Then, the classic case retrieval algorithm is implemented to generate diverse member CBR predictors. Majority voting, the most frequently used mechanism in ensemble computing, is finally used to aggregate outputs of member CBR predictors in order to produce final prediction of the CBR ensemble. In an empirical experiment, we statistically validated the results of the CBR ensemble from multiple case bases by comparing them with those of multivariate discriminant analysis, logistic regression, classic CBR, the best member CBR predictor and bagging CBR ensemble. The results from Chinese EOPFOF prior to 3 years indicate that the new CBR ensemble, which significantly improved CBRs predictive ability, outperformed all the comparative methods.

La arquitectura de Víctor Eusa

El arquitecto Víctor Eusa (Pamplona, 1894-1990) es la figura central de la arquitectura en Navarra durante la mayor parte del siglo XX. Desde 1920, año en que termina sus estudios en Madrid, hasta 1973, año de su jubilación, produjo centenares de obras y proyectos en esta región española, con esporádicas intervenciones en otras zonas, como las provincias vecinas de Guipúzcoa, Vizcaya y Zaragoza. Su periodo activo coincide con el de la construcción del II Ensanche de Pamplona. La cantidad y calidad de su producción hacen posible establecer una identificación entre la obra de Eusa y la ciudad entonces existente. Sus obras principales son auténticos hitos urbanos que caracterizan el Ensanche. El archivo personal del arquitecto se perdió desgraciadamente en los años setenta del pasado siglo. Este trabajo de investigación ha partido de la recopilación de la documentación gráfica existente en archivos públicos y privados, que ha dado como fruto la catalogación de las obras y proyectos de Víctor Eusa, que constituye el tomo II de la tesis. En el tomo I se analiza la trayectoria del arquitecto y la evolución formal de su lenguaje, a partir de su formación académica y las sucesivas influencias que jalonan sus primeros años de profesión: sus viajes por Europa y Oriente, Otto Wagner y la Sezession vienesa, Perret y el hormigón armado, el Art-Déco y la Exposición de París de 1925, Dudok y la arquitectura holandesa, etc. Todo ello fructifica en una arquitectura expresionista muy personal, basada en la geometría de líneas rectas y quebradas, que combina el ladrillo y el hormigón como sus materiales preferidos. Su madurez se alcanza a finales de los años veinte y se prolonga hasta la guerra civil española. En este periodo se concentran sus obras más conocidas: Casa de Misericordia, Iglesia de los Paúles, Colegio de Escolapios, edificios de viviendas en plaza Príncipe de Viana y calle García Castañón, Seminario, Casino Eslava,… Después del 36, sus responsabilidades públicas sucesivas como arquitecto municipal de Pamplona y como arquitecto provincial de la Diputación Foral de Navarra introducen en su obra una nueva dimensión urbana. ABSTRACT The architect Víctor Eusa (Pamplona, 1894-1990) was the central figure in architecture in Navarra for most of the 20th century. From 1920, when he finished his studies in Madrid, to his retirement in 1973, he was responsible for hundreds of buildings in Navarra, as well as occasional projects in the neighbouring provinces of Guipúzcoa, Vizcaya and Zaragoza. His career as an architect developed in parallel with the second phase of urban expansion in Pamplona. In terms of both quantity and quality, this new district can be seen as an embodiment of Eusa's work, and his most outstanding buildings form the landmarks which give character to this area. Unfortunately, Eusa's personal archive was lost in the 1970s. By collecting and analyzing the graphic information available in public archives, the author of this dissertation was able to compile a catalogue of Eusa's work and projects, which is provided in volume II. Volume I focuses on Eusa's career and the formal development of his language, starting from his academic training and tracing the successive influences that were at work during his early years as an architect: his journeys through Europe and the East, Otto Wagner and the Vienna Secession, Perret and reinforced concrete, Art-Déco and the Paris Exhibition of 1925, Dudok and the Dutch architecture represented in the magazines Wendingen and De Stijl, and many others. All of this came together in Eusa's highly personal expressionist style, based on a geometry of straight and zigzag lines, combining his favourite materials, brick and concrete. His mature period consolidated by end of the 1920s and lasted until the Spanish Civil War. After 1936, Eusa's responsibilities as municipal architect for Pamplona and later as head of architecture for Navarra enabled him to develop his talents in the area of urban design.

Los museos mineralógicos de las Escuelas de Minas españolas

Se trata de ver el estado actual de los museos mineralógicos en las Escuelas de Minas.

Hacia una metodología en la enseñanza de las rocas y de los minerales industriales

El mercado de las rocas industriales desde el punto de vista económico se ha desarrollado de manera espectacular en los últimos tiempos. Eso es especialmente cierto en lo que se refiere a las rocas ornamentales, si bien los materiales pétreos utilizados en la construcción han experimentado también un importante ascenso.

Homography-based ground plane detection using a single on-board camera

This study presents a robust method for ground plane detection in vision-based systems with a non-stationary camera. The proposed method is based on the reliable estimation of the homography between ground planes in successive images. This homography is computed using a feature matching approach, which in contrast to classical approaches to on-board motion estimation does not require explicit ego-motion calculation. As opposed to it, a novel homography calculation method based on a linear estimation framework is presented. This framework provides predictions of the ground plane transformation matrix that are dynamically updated with new measurements. The method is specially suited for challenging environments, in particular traffic scenarios, in which the information is scarce and the homography computed from the images is usually inaccurate or erroneous. The proposed estimation framework is able to remove erroneous measurements and to correct those that are inaccurate, hence producing a reliable homography estimate at each instant. It is based on the evaluation of the difference between the predicted and the observed transformations, measured according to the spectral norm of the associated matrix of differences. Moreover, an example is provided on how to use the information extracted from ground plane estimation to achieve object detection and tracking. The method has been successfully demonstrated for the detection of moving vehicles in traffic environments.

Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space

Learning the structure of a graphical model from data is a common task in a wide range of practical applications. In this paper, we focus on Gaussian Bayesian networks, i.e., on continuous data and directed acyclic graphs with a joint probability density of all variables given by a Gaussian. We propose to work in an equivalence class search space, specifically using the k-greedy equivalence search algorithm. This, combined with regularization techniques to guide the structure search, can learn sparse networks close to the one that generated the data. We provide results on some synthetic networks and on modeling the gene network of the two biological pathways regulating the biosynthesis of isoprenoids for the Arabidopsis thaliana plant

Performance of Scheduling Policies in Adversarial Networks with Non-synchronized Clocks

In this paper we generalize the Continuous Adversarial Queuing Theory (CAQT) model (Blesa et al. in MFCS, Lecture Notes in Computer Science, vol. 3618, pp. 144–155, 2005) by considering the possibility that the router clocks in the network are not synchronized. We name the new model Non Synchronized CAQT (NSCAQT). Clearly, this new extension to the model only affects those scheduling policies that use some form of timing. In a first approach we consider the case in which although not synchronized, all clocks run at the same speed, maintaining constant differences. In this case we show that all universally stable policies in CAQT that use the injection time and the remaining path to schedule packets remain universally stable. These policies include, for instance, Shortest in System (SIS) and Longest in System (LIS). Then, we study the case in which clock differences can vary over time, but the maximum difference is bounded. In this model we show the universal stability of two families of policies related to SIS and LIS respectively (the priority of a packet in these policies depends on the arrival time and a function of the path traversed). The bounds we obtain in this case depend on the maximum difference between clocks. This is a necessary requirement, since we also show that LIS is not universally stable in systems without bounded clock difference. We then present a new policy that we call Longest in Queues (LIQ), which gives priority to the packet that has been waiting the longest in edge queues. This policy is universally stable and, if clocks maintain constant differences, the bounds we prove do not depend on them. To finish, we provide with simulation results that compare the behavior of some of these policies in a network with stochastic injection of packets.

Dimensional synthesis of a spherical parallel manipulator based on the evaluation of global performance indexes

In this work, the dimensional synthesis of a spherical Parallel Manipulator (PM) with a -1S kinematic chain is presented. The goal of the synthesis is to find a set of parameters that defines the PM with the best performance in terms of workspace capabilities, dexterity and isotropy. The PM is parametrized in terms of a reference element, and a non-directed search of these parameters is carried out. First, the inverse kinematics and instantaneous kinematics of the mechanism are presented. The latter is found using the screw theory formulation. An algorithm that explores a bounded set of parameters and determines the corresponding value of global indexes is presented. The concepts of a novel global performance index and a compound index are introduced. Simulation results are shown and discussed. The best PMs found in terms of each performance index evaluated are locally analyzed in terms of its workspace and local dexterity. The relationship between the performance of the PM and its parameters is discussed, and a prototype with the best performance in terms of the compound index is presented and analyzed.

Optimizing three-phase planar transformer construction

A three-phase transformer with flat conductor layers is proposed in this article. This arrangement is used for high current density transformers. Cost effectiveness in planar magnetic are related with the optimization in the number of layers in each winding. This fact takes more relevance for the medium and high power three-phase transformers where the number of parallels to achieve the required DCR is increased. The proposed method allows the use of off-the-shell core shapes that are used for single phase transformers. Cost impact is significant and design implications become more flexible. The proposed solution has been validated and compared using the conventional and the proposed methodologies to design a high power (20 kW) transformer.

Kinematic analysis of a novel 2-d.o.f. orientation device

This paper presents the development of a new parallel robot designed for helping with bone milling surgeries. The robot is a small modular wrist with 2 active degrees of freedom, and it is proposed to be used as an orientation device located at the end of a robotic arm designed for bone milling processes. A generic kinematic geometry is proposed for this device. This first article shows the developments on the workspace optimization and the analysis of the force field required to complete a reconstruction of the inferior jawbone. The singularities of the mechanism are analyzed, and the actuator selection is justified with the torque requirements and the study of the force space. The results obtained by the simulations allow building a first prototype using linear motors. Bone milling experiment video is shown as additional material.