Measuring fixed costs for firms' use of a free trade agreement : threshold regression approach

In this paper, by employing the threshold regression method, we estimate the average tariff equivalent of fixed costs for the use of a free trade agreement (FTA) among all existing FTAs in the world. It is estimated to be 3.2%. This global estimate serves as a reference rate in the evaluation of each FTA’s fixed costs.

Temperature and time dependent threshold voltage characterization of AlGaN/GaN high electron mobility transistors

Relacionado con línea de investigación del GDS del ISOM ver http://www.isom.upm.es/dsemiconductores.php

Percolation in soils at Different Bulk Densities: Porosity, Connectivity and Grey Threshold.

To improve percolation modelling on soils the geometrical properties of the pore space must be understood; this includes porosity, particle and pore size distribution and connectivity of the pores. A study was conducted with a soil at different bulk densities based on 3D grey images acquired by X-ray computed tomography. The objective was to analyze the effect in percolation of aspects of pore network geometry and discuss the influence of the grey threshold applied to the images. A model based on random walk algorithms was applied to the images, combining five bulk densities with up to six threshold values per density. This allowed for a dynamical perspective of soil structure in relation to water transport through the inclusion of percolation speed in the analyses. To evaluate separately connectivity and isolate the effect of the grey threshold, a critical value of 35% of porosity was selected for every density. This value was the smallest at which total-percolation walks appeared for the all images of the same porosity and may represent a situation of percolation comparable among bulks densities. This criterion avoided an arbitrary decision in grey thresholds. Besides, a random matrix simulation at 35% of porosity with real images was used to test the existence of pore connectivity as a consequence of a non-random soil structure.

Response threshold models, stochastic learning automata and ant colony optimization-based decentralized self-coordination algorithms for heterogeneous multi-tasks distribution in multi-robot systems

In recent decades, there has been an increasing interest in systems comprised of several autonomous mobile robots, and as a result, there has been a substantial amount of development in the eld of Articial Intelligence, especially in Robotics. There are several studies in the literature by some researchers from the scientic community that focus on the creation of intelligent machines and devices capable to imitate the functions and movements of living beings. Multi-Robot Systems (MRS) can often deal with tasks that are dicult, if not impossible, to be accomplished by a single robot. In the context of MRS, one of the main challenges is the need to control, coordinate and synchronize the operation of multiple robots to perform a specic task. This requires the development of new strategies and methods which allow us to obtain the desired system behavior in a formal and concise way. This PhD thesis aims to study the coordination of multi-robot systems, in particular, addresses the problem of the distribution of heterogeneous multi-tasks. The main interest in these systems is to understand how from simple rules inspired by the division of labor in social insects, a group of robots can perform tasks in an organized and coordinated way. We are mainly interested on truly distributed or decentralized solutions in which the robots themselves, autonomously and in an individual manner, select a particular task so that all tasks are optimally distributed. In general, to perform the multi-tasks distribution among a team of robots, they have to synchronize their actions and exchange information. Under this approach we can speak of multi-tasks selection instead of multi-tasks assignment, which means, that the agents or robots select the tasks instead of being assigned a task by a central controller. The key element in these algorithms is the estimation ix of the stimuli and the adaptive update of the thresholds. This means that each robot performs this estimate locally depending on the load or the number of pending tasks to be performed. In addition, it is very interesting the evaluation of the results in function in each approach, comparing the results obtained by the introducing noise in the number of pending loads, with the purpose of simulate the robot's error in estimating the real number of pending tasks. The main contribution of this thesis can be found in the approach based on self-organization and division of labor in social insects. An experimental scenario for the coordination problem among multiple robots, the robustness of the approaches and the generation of dynamic tasks have been presented and discussed. The particular issues studied are: Threshold models: It presents the experiments conducted to test the response threshold model with the objective to analyze the system performance index, for the problem of the distribution of heterogeneous multitasks in multi-robot systems; also has been introduced additive noise in the number of pending loads and has been generated dynamic tasks over time. Learning automata methods: It describes the experiments to test the learning automata-based probabilistic algorithms. The approach was tested to evaluate the system performance index with additive noise and with dynamic tasks generation for the same problem of the distribution of heterogeneous multi-tasks in multi-robot systems. Ant colony optimization: The goal of the experiments presented is to test the ant colony optimization-based deterministic algorithms, to achieve the distribution of heterogeneous multi-tasks in multi-robot systems. In the experiments performed, the system performance index is evaluated by introducing additive noise and dynamic tasks generation over time.

Ionoluminescence as sensor of structural disorder in crystalline SiO2: determination of amorphization threshold by swift heavy ions

Ionoluminescence (IL) has been used in this work as a sensitive tool to probe the microscopic electronic processes and structural changes produced on quartz by the irradiation with swift heavy ions. The IL yields have been measured as a function of irradiation fluence and electronic stopping power. The results are consistent with the assignment of the 2.7 eV (460 nm) band to the recombination of self-trapped excitons at the damaged regions in the irradiated material. Moreover, it was possible to determine the threshold for amorphization by a single ion impact, as 1:7 keV/nm, which agrees well with the results of previous studies.

Response threshold models and stochastic learning automata for self-coordination of heterogeneous multi-task distribution in multi-robot systems.

This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-selection of heterogeneous specialized tasks by autonomous robots. In this paper we focus on a specifically distributed or decentralized approach as we are particularly interested in a decentralized solution where the robots themselves autonomously and in an individual manner, are responsible for selecting a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we have established an experimental scenario to solve the corresponding multi-task distribution problem and we propose a solution using two different approaches by applying Response Threshold Models as well as Learning Automata-based probabilistic algorithms. We have evaluated the robustness of the algorithms, perturbing the number of pending loads to simulate the robot’s error in estimating the real number of pending tasks and also the dynamic generation of loads through time. The paper ends with a critical discussion of experimental results.

Alta velocidad ferroviaria en California(USA): quinta parte (V) LAV San Francisco–Sacramento (Bay Crossing Alternative) = High speed railway in California (USA): fith part (V) HSRL San Francisco–Sacramento (Bay Crossing Alternative)

Implantación de la Red de Alta velocidad Ferroviaria en California. Tramo San Francisco-Sacramento. Este artículo de la serie “Alta velocidad Ferroviaria en California (CHSRS), se ocupa de la línea San Francisco– Sacramento “Bay Crossing Alternative”, que cierra la red de alta velocidad ferroviaria del Estado de California, permitiendo en la terminal HSR de Sacramento, conectar con la línea Fresno–Sacramento, en coincidencia de trazados para en el futuro prolongar la red californiana de alta velocidad ferroviaria hasta su entronque con la del Estado de Nevada, vía Tahoe Lake–Reno. La línea San Francisco–Sacramento “Bay Crossing Alternative”, consta de tres trayectos: El primero de ellos “San Francisco urbano” va desde la terminal HSR “San Francisco Airport”, donde termina la alternativa “Golden Gate” de la línea Fresno–San Francisco, hasta el viaducto de acceso al Paso de la Bahía, que constituye el segundo trayecto “San Francisco–Richmond”, trayecto estrella de la red, de 15,48 Km de longitud sobre la Bahía de San Francisco, con desarrollo a través de 11,28 Km en puente colgante múltiple, con vanos de 800 m de luz y 67 m de altura libre bajo el tablero que permite la navegación en la Bahía. El tercer trayecto “Richmond–Sacramento” cruza la Bahía de San Pablo con un puente colgante de 1,6 Km de longitud y tipología similar a los múltiples de la Bahía de San Francisco, pasa por Vallejo (la por plazo breve de tiempo, antigua capital del Estado de California) y por la universitaria Davis, antes de finalmente llegar a la HSR Terminal Station de Sacramento Roseville. This article of the series “California High Speed Railway System”(CHSRS) treats on Line San Francisco–Sacramento “Bay Crossing Alternative” (BCA). This line closes the system of California high speed state railway, and connects with the line Fresno–Sacramento “Stockton Arch Alternative”, joining its alignments in the HSR Terminal of Sacramento Roseville. From this station it will be possible, in the future, to extend the Californian railway system till the Nevada railway system, vía Tahoe Lake and Reno. The BCA consists of three sections: The first one passing through San Francisco city, goes from HSR San Francisco Airport Terminal Station (where the line Fresno–San Francisco “Golden Gate Alternative” ends), up to the Viaduct access at the Bay Crossing. The second section San Francisco–Richmond, constitutes the star section of the system, with 15,48 Km length on the San Francisco Bay, where 11,28 Km in multi suspension bridge, 800 m span and 67 m gauge under panel, to allow navigation through the Bay. The third section Richmond–Sacramento crosses the San Pablo Bay through another suspension bridge of similar typology to that of San Francisco Bay crossing; pass through Vallejo (the ancient and for a short time Head of the State of California) and through Davis, university city, to arrive to the HSR Terminal Station of Sacramento Roseville.

Responses to increasing exercise upon reaching the anaerobic threshold, and their control by the central nervous system

Sistema nervioso y ejercicio

Modeling sub-threshold slope and DIBL mismatch of sub-22nm FinFet

A great challenge for future information technologies is building reliable systems on top of unreliable components. Parameters of modern and future technology devices are affected by severe levels of process variability and devices will degrade and even fail during the normal lifeDme of the chip due to aging mechanisms. These extreme levels of variability are caused by the high device miniaturizaDon and the random placement of individual atoms. Variability is considered a "red brick" by the InternaDonal Technology Roadmap for Semiconductors. The session is devoted to this topic presenDng research experiences from the Spanish Network on Variability called VARIABLES. In this session a talk entlited "Modeling sub-threshold slope and DIBL mismatch of sub-22nm FinFet" was presented.

Crossing trellis vaults in Spain and México

The general aim of this study can be summarized in contributin gempirical evidence on the existence, design, fabrication and functioning of the crossing trellis vaults asa constructive expression of the Spanish renaissance moved to the New Spain, today México, and their mutual relation.

Construction of a Pendentive Grid Crossing Vault

Nuts & bolts of construction history : culture, technology and society :[proceedings of the Fourth International Congress on Construction History, Paris, 3-7 July 2012. ISBN: 978-2-7084-0929-3 . Vol 1 págs 81 a 88

Variable threshold algorithm for division of labor analyzed as a dynamical system

Division of labor is a widely studied aspect of colony behavior of social insects. Division of labor models indicate how individuals distribute themselves in order to perform different tasks simultaneously. However, models that study division of labor from a dynamical system point of view cannot be found in the literature. In this paper, we define a division of labor model as a discrete-time dynamical system, in order to study the equilibrium points and their properties related to convergence and stability. By making use of this analytical model, an adaptive algorithm based on division of labor can be designed to satisfy dynamic criteria. In this way, we have designed and tested an algorithm that varies the response thresholds in order to modify the dynamic behavior of the system. This behavior modification allows the system to adapt to specific environmental and collective situations, making the algorithm a good candidate for distributed control applications. The variable threshold algorithm is based on specialization mechanisms. It is able to achieve an asymptotically stable behavior of the system in different environments and independently of the number of individuals. The algorithm has been successfully tested under several initial conditions and number of individuals.