Carlos III University of Madrid

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    35732 research outputs found

    Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture

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    In recent years, there has been a significant integration of advanced technology into the automotive industry, aimed primarily at enhancing safety and ride comfort. While a notable proportion of these driver-assist systems focuses on skid prevention, insufficient attention has been paid to addressing other crucial scenarios, such as rollovers. The accurate estimation of slip and roll angles plays a vital role in ensuring vehicle control and safety, making these parameters essential, especially with the rise of modern technologies that incorporate networked communication and distributed computing. Furthermore, there exists a lag in the transmission of information between the various vehicle systems, including sensors, actuators, and controllers. This paper outlines the design of an IoT architecture that accurately estimates the sideslip angle and roll angle of a vehicle, while addressing network transmission delays with a networked control system and an event-triggered communication scheme. Experimental results are presented to validate the performance of the IoT architecture proposed. The event-triggered scheme of the IoT solution is used to decrease data transmission and prevent network overload.Funding. Grant [ PID2022-136468OB-I00 ] funded by MCIN/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”

    Spanish Innovation Index: 23 Report

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    Los grados de la Universidad de Irache en el siglo XVIII (1701-1824)

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    Este libro estudia los graduados de la Universidad de benedictina de Irache durante el siglo XVIII, que mantuvo la misma tónica que la centuria anterior, aunque con una lenta disminución hasta 1751. Desde entonces hasta su extinción, los grados fueron cada vez más restringidos. El elenco de graduados aporta un número destacado de egresados, especialmente en Artes y Medicina, aunque también en Teología y Cánones y, en menor medida, en Leyes. Cada una de las fichas permite ulteriores estudios prosopográficos, especialmente de las élites de la Congregación benedictina de Valladolid, y de las diócesis de Burgos, Pamplona y Calahorra en el siglo XVIII.This book studies the graduates of the Benedictine University of Irache during the 18th century, which maintained the same trend as the previous Century, although with a slow decline until 1751. From then until its extinction, the degrees were increasingly restricted. The list of graduates provides a notable number of graduates, especially in Arts and Medicine, but also in Theology and Canons and, to a lesser extent, in Law. Each of the registers allows for further prosopographical studies, especially of the elites of the Benedictine Congregation of Valladolid, and of the dioceses of Burgos, Pamplona and Calahorra in the 18th century

    The Statistical Theory of the Angiogenesis Equations

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    Angiogenesis is a multiscale process by which a primary blood vessel issues secondary vessel sprouts that reach regions lacking oxygen. Angiogenesis can be a natural process of organ growth and development or a pathological one induced by a cancerous tumor. A mean-field approximation for a stochastic model of angiogenesis consists of a partial differential equation (PDE) for the density of active vessel tips. Addition of Gaussian and jump noise terms to this equation produces a stochastic PDE that defines an infinite-dimensional Lévy process and is the basis of a statistical theory of angiogenesis. The associated functional equation has been solved and the invariant measure obtained. The results of this theory are compared to direct numerical simulations of the underlying angiogenesis model. The invariant measure and the moments are functions of a Korteweg–de Vries-like soliton, which approximates the deterministic density of active vessel tips

    Microstructural stability of secondary phases in an ODS ferritic steel after thermal aging at 873 K

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    An oxide dispersion strengthened (ODS) steel with nominal composition Fe-14Cr-2W-0.4Ti-0.3Y2O3 (wt. %) has been manufactured by mechanical alloying of pre-alloyed powders with nanosized Y2O3, compacted by hot isostatic pressing and hot cross rolled. In order to evaluate the long-term thermal resistance of the alloy, it has been subjected to 2000 hours of thermal aging at 873 K, which is a relevant temperature for nuclear reactor applications. A thermodynamic equilibrium simulation indicates the precipitation of Laves phase under the aging parameters used. This prediction is confirmed from the detailed multi-technique characterization performed. Before aging, Ti-rich oxides, Cr-W-rich precipitates (M23C6 type) and a homogeneous Y-rich nanoprecipitate dispersion are observed. After aging, some W-rich precipitates are identified as Laves phase, while M23C6 carbides, Ti-rich oxides and Y-rich nanoprecipitates remain stable. Mechanical characterization performed in a previous research showed higher hardness, a loss of total elongation and a slight shift of the ductile-to-brittle transition temperature (DBTT) towards a higher value after aging, with similar strength values before and after the long-term thermal treatment. These changes can be due to the redistribution of precipitates together with the Laves phase formation. The mechanical properties not being dramatically affected seem to be due to the observed stability of Y-rich nanoprecipitates distribution.Acknowledgements. Funding from AEI (Agencia Estatal de Investigación) with reference AEI/10.13039/501100011033 (project PID2019-105325RB-C33); Comunidad de Madrid (Spain) through the programs Talento-CAM (2017-T1/IND-5439 and 2021-5A/IND-20954), Technofusion (III) CM (S2018/EMT-4437) and multiannual agreement with UC3M (“Excelencia para el Profesorado Universitario”-EPUC3M14) is gratefully acknowledged.Publicad

    Breaking the ties that bind: Metropolitan dependence and export growth in the poor periphery, 1950-90

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    Decolonisation was one of the most important institutional transformations of the twentieth century. Recent work on the effect of decolonisation on bilateral trade has suggested that trade with the ex-metropolis declined significantly after independence. Due to problems related to data quality and coverage, however, there is still no consensus on whether the reduction of colonial dependence encouraged or impeded export growth. In this paper, we argue that metropolitan trade shares proxy for colonial monopsony. Using a new database of exports at constant prices for 131 countries and mean group estimators that control for a range of confounding factors, we find that trade shares with the metropole are negatively associated with export growth, with important differences across metropolitan nationalities and locations. We argue that the significance of the erosion of colonial trade ties for export growth following independence was contingent on the interaction of policy and location during the colonial period

    General equilibrium, welfare and policy when firms have market power

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    We consider a simple private goods market economy and show that when firms have market power the equilibrium real wage, employment, real output, and labor share are less than under perfect competition. Contrary to common wisdom market concentration may have non-monotonic general equilibrium effects: the equilibrium allocation of a monopolistic economy may Pareto dominate that of an oligopolistic economy. Corporate taxes provide an appropriate instrument to pursue distributional objectives since, unlike taxes on labor income, they do not create additional deadweight losses. An appropriate minimum real wage improves efficiency and increases the labor share in a monopolistic economy, whereas in an oligopolistic economy its efficiency effects are uncertain due the existence of multiple equilibria.he authors acknowledge the financial support of the MCIN (Spain), grants MCIN/AEI/10.13039/501100011033-CEX2021-001181-M and PID2022-142442OB-I00

    Índice Español de Innovación: Memoria 23

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    Transfer learning in multiple hypothesis testing

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    In this investigation, a synthesis of Convolutional Neural Networks (CNNs) and Bayesian inference is presented, leading to a novel approach to the problem of Multiple Hypothesis Testing (MHT). Diverging from traditional paradigms, this study introduces a sequence-based uncalibrated Bayes factor approach to test many hypotheses using the same family of sampling parametric models. A two-step methodology is employed: initially, a learning phase is conducted utilizing simulated datasets encompassing a wide spectrum of none and alternative hypotheses, followed by a transfer phase applying this fitted model to real-world experimental sequences. The outcome is a CNN model capable of navigating the complex domain of MHT with improved precision over traditional methods, also demonstrating robustness under varying conditions, including the number of true nones and dependencies between tests. Although indications of empirical evaluations are presented and show that the methodology will prove useful, more work is required to provide a full evaluation from a theoretical perspective. The potential of this innovative approach is further illustrated within the critical domain of genomics. Although formal proof of the consistency of the model remains elusive due to the inherent complexity of the algorithms, this paper also provides some theoretical insights and advocates for continued exploration of this methodology


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