582 research outputs found

    Air Traffic Control: A Local Approach to the Trajectory Segmentation Issue

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    Proceedings of: 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010) Córdoba-Spain, June 04-06, 2010This paper presents a new approach for trajectory segmentation in the area of Air Traffic Control, as a basic tool for offline validation with recorded opportunity traffic data. Our approach uses local information to classify each measurement individually, constructing the final segments over these classified samples as the final solution of the process. This local classification is based on a domain transformation using motion models to identify the deviations at a local scale, as an alternative to other global approaches based on combinatorial analysis over the trajectory segmentation domain.This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02.Publicad

    Multiobjective Local Search Techniques for Evolutionary Polygonal Approximation

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    Proceedings of: 10th International Symposium on Distributed Computing and Artificial Intelligence . University of Salamanca (DCAI 2013). Salamanca, Spain, Spain, May 22-24, 2013.Polygonal approximation is based on the division of a closed curve into a set of segments. This problem has been traditionally approached as a single-objective optimization issue where the representation error was minimized according to a set of restrictions and parameters. When these approaches try to be subsumed into more recent multi-objective ones, a number of issues arise. Current work successfully adapts two of these traditional approaches and introduces them as initialization procedures for a MOEA approach to polygonal approximation, being the results, both for initial and final fronts, analyzed according to their statistical significance over a set of traditional curves from the domain.This work was supported in part by Projects MEyC TEC2012-37832-C02-01, MEyC TEC2011-28626-C02-02 and CAM CONTEXTS (S2009/TIC-1485).Publicad

    Caracterización de rocas calcáreas sobre las que se desarrollan suelos forestales de la reserva de Grazalema (Cádiz)

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    Continuando con trabajos anteriores, se estudian las características químicas y mineralógicas de cuatro tipos de rocas liásicas calcáreas (calcarenitas, calizas tableadas, calizas masivas y margas), sobre las que se desarrollan suelos forestales de la Reserva de Grazalema (Cádiz, España). En todas ellas se presentan calcita, cuarzo y mica, aunque en distintas proporciones. Además, existe dolomita en las calizas masivas y calcarenitas, caolinita en las calizas tableadas y masivas y, por último, esmectitas en las margasContinuing with previous works, we study the chemical and mineralogical characteristics of four types of calcareous liassic rocks (calcarenites, laminated limiestones, lump limestones and calcareous marls), on which are developed the forest soils of the Grazalema Reserva (Cadiz, Spain). In all of these are present calcite, quartz and mida, although in different proportions. Moreover, dolomite, is found in the calcarenites and the lump limestones, kaolinite in the laminated and lump limestones and, finally, smectites in the marls

    Consumer Acceptability of Dry Cured Meat from Cull Ewes Reared with Different Linseed Supplementation Levels and Feeding Durations

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    Dry cured meatcecina''is a traditional, although not well-known, dry product that could add value to cull ewes. Because of this, the aim of the study was to assess consumer acceptability of cecina'' from cull ewes finished with different levels of linseed (5, 10 or 15%) for different periods before slaughtering (30, 50 or 70 days). One hundred and fifty consumers evaluated colour acceptability, fatness and odour, flavour and overall acceptability of cecina'' from those 9 treatments. Additionally, habits of consumption of cured products and preferences for different species and willingness to pay for cecina'' were investigated. Linseed supplementation was identified as the most important factor for sensorial attributes (p < 0.01), with the preferred cecina'' being that with 5% and 10% supplementation. Feeding duration only modified the fatness acceptability (p < 0.01). Cecina'' from small ruminants is a product consumed occasionally by the majority of participants; however, it presented an adequate overall acceptability. Consequently, elaborating cecina'' would be a feasible strategy to improve the income of farmers

    Crisis climática y objetivos de desarrollo sostenible: Un enfoque desde la perspectiva de la producción animal, el consumo de carne y los efectos sociales

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    El objetivo del presente trabajo es la realización de una síntesis sobre las múltiples y complejas relaciones existentes entre los Objetivos de Desarrollo Sostenible (ODS) y el ámbito de la producción animal, prestando una especial atención a sus implicaciones y consecuencias derivadas de la actual crisis climática. La Agenda 2030 para el Desarrollo Sostenible de Naciones Unidas presenta 17 ODS, que integran, de forma indivisible, las tres dimensiones del desarrollo sostenible, siendo estos pilares: el social, ambiental y económico. El sector ganadero tiene un notable rol y un significativo potencial para la implementación y consecución de dichos Objetivos, enfocadas sus posibles intervenciones desde diferentes perspectivas que se desarrollan a lo largo del presente trabajo. Entre los enfoques se abarcan las relaciones generales entre los ODS y la ganadería (especialmente centrado en rumiantes), diversas estrategias para la puesta en práctica de los ODS, el impacto de la crisis climática a nivel productivo, sus estrategias adaptativas y de mitigación. Entre los impactos sociales se identifica la movilidad humana forzada y el riesgo de hambrunas e insuficiencia alimentaria. Por último, se analiza el impacto de la producción de carne y su consumo en dietas sostenibles. The objective of this paper is to carry out a synthesis about the multiple and complex relationships between the Sustainable Development Goals (SDGs) with the field of animal production, paying special at-tention to its implications and consequences derived from the current climate change. The United Nations 2030 Agenda for Sustainable Development presents 17 SDGs, which integrate, in an indivisible way, the three dimensions of sustainable development, being these pillars: social, environmental and economic. The livestock sector has a remarkable role and significant potential for the implementation and achievement of these objectives, focusing its possible interventions from different perspectives that will be developed throughout this article. Approaches include the general relationships between the SDGs and livestock, various strategies for the implementation of the SDGs, the impact of the climate crisis on animal production and its implications at social level. As well as, aspects related to climatic migrants and food production, analyzing also the impact of meat production and its consumption on sustainable diets

    Evolution des exploitations ovines et caprines en Méditerranée durant les dix dernières années. I. Proposition d'une méthodologie d'étude

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    L’objectif de ce travail est l’élaboration d’une méthode d’analyse comparative interrégionale de la situation et des évolutions des systèmes de production ovine et caprine. Des questionnaires d’enquête différents sont élaborés à destination des éleveurs d’une part, des agents de développement puis des personnes chargées de la commercialisation d’autre part. Des analyses statistiques de variance sont utilisées pour construire des typologies d’exploitation sur la base de la situation actuelle et de l’évolution des exploitations au cours des 10 dernières années. La méthode d’analyse clinique des écosystèmes a pour objet : (i) de connaître les points forts et les points faibles des systèmes et les relations de cause à effet ; (ii) de prévoir de manière prospective l’évolution future de chaque type d’exploitation ; et (iii) de proposer des actions concrètes pour optimiser les perspectives favorables de chaque système. Cette démarche s’inscrit dans l’Observatoire des systèmes de production ovine et caprine du réseau FAO/CIHEAM de recherche coopérative sur les ovins et les caprins.“Evolution of the sheep and goat farms in the Mediterranean over the last ten years. I. Proposal of a study methodology”. The main objective of this paper is to develop a methodology that could be used in diverse regions to make a comparative analysis of situation and changes that may occur in goat and sheep sectors among different regions from the same or different countries. This process has been elaborated for breeders on one hand, for extension and commercial agents on the other. Statistical analysis of variance is used to build up a typology of farms on the basis of the actual situation and changes in farms for the 10 last years. The method of clinical analysis of variance of ecosystems is used to: (i) determine system strengths and weaknesses and the cause-result relationships; (ii) foresee system evolution based on the established cluster; and (iii) propose actions to optimize future evolution in every system according to real possibilities in each particular case. This initiative is an action of the Monitoring Body of sheep and goat production systems of the FAO/CIHEAM network of cooperative research on sheep and goats

    High-density lipoprotein particles and their relationship to posttransplantation diabetes mellitus in renal transplant recipients

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    High concentrations of high-density lipoprotein (HDL) cholesterol are likely associated with a lower risk of posttransplantation diabetes mellitus (PTDM). However, HDL particles vary in size and density with yet unestablished associations with PTDM risk. The aim of our study was to determine the association between different HDL particles and development of PTDM in renal transplant recipients (RTRs). We included 351 stable outpatient adult RTRs without diabetes at baseline evaluation. HDL particle characteristics and size were measured by nuclear magnetic resonance (NMR) spectroscopy. During 5.2 (IQR, 4.1‒5.8) years of follow-up, 39 (11%) RTRs developed PTDM. In multivariable Cox regression analysis, levels of HDL cholesterol (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.40–0.94 per 1SD increase; p = 0.024) and of large HDL particles (HR 0.68, 95% CI 0.50–0.93 per log 1SD increase; p = 0.017), as well as larger HDL size (HR 0.58, 95% CI 0.36–0.93 per 1SD increase; p = 0.025) were inversely associated with PTDM development, independently of relevant covariates including, age, sex, body mass index, medication use, transplantation-specific parameters, blood pressure, triglycerides, and glucose. In conclusion, higher concentrations of HDL cholesterol and of large HDL particles and greater HDL size were associated with a lower risk of PTDM development in RTRs, independently of established risk factors for PTDM development

    Computational Delay Models to Estimate the Delay of Floating Cubes in CMOS Circuits

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    The verification of the timing requirements of large VLSI circuits is generally performed by using simulation or timing analysis on each combinational block of the circuit. A key factor in timing analysis is the election of the delay model type. Pin-to-pin delay models are usually employed, but their application is limited in timing analysis when dealing with floating mode or complex gates. This paper does not introduce a delay model but a delay model type called Transistor Path Delay Model (TPDM). This new type of delay model is specially useful for timing analysis in floating mode, since it is not required to know the whole input sequence to apply it, and can manage complex CMOS gates. An algorithm to get upper bounds on the stabilization time of each gate output using TPDM is also introduced
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