4,337 research outputs found

    Making Transport Safer: V2V-Based Automated Emergency Braking System

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    An important goal in the field of intelligent transportation systems (ITS) is to provide driving aids aimed at preventing accidents and reducing the number of traffic victims. The commonest traffic accidents in urban areas are due to sudden braking that demands a very fast response on the part of drivers. Attempts to solve this problem have motivated many ITS advances including the detection of the intention of surrounding cars using lasers, radars or cameras. However, this might not be enough to increase safety when there is a danger of collision. Vehicle to vehicle communications are needed to ensure that the other intentions of cars are also available. The article describes the development of a controller to perform an emergency stop via an electro-hydraulic braking system employed on dry asphalt. An original V2V communication scheme based on WiFi cards has been used for broadcasting positioning information to other vehicles. The reliability of the scheme has been theoretically analyzed to estimate its performance when the number of vehicles involved is much higher. This controller has been incorporated into the AUTOPIA program control for automatic cars. The system has been implemented in Citroën C3 Pluriel, and various tests were performed to evaluate its operation

    Fundamental Limits of Classical and Quantum Imaging

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    Quantum imaging promises increased imaging performance over classical protocols. However, there are a number of aspects of quantum imaging that are not well understood. In particular, it has so far been unknown how to compare classical and quantum imaging procedures. Here, we consider classical and quantum imaging in a single theoretical framework and present general fundamental limits on the resolution and the deposition rate for classical and quantum imaging. The resolution can be estimated from the image itself. We present a utility function that allows us to compare imaging protocols in a wide range of applications.Comment: 4 pages, 3 figures; accepted for Physical Review Letters, with updated title and fixed typo

    Cyberattacks Predictions Workflow using Machine Learning

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    This research aims to validate the effectiveness of a machine learning model composed of three classifiers: decision tree, logistic regression, and support vector machines. Through the design of a workflow, we demonstrate the effectiveness of the model. First, we execute a network attack, and then monitoring, processing, storage, visualization, and data transfer tools are implemented to create the most realistic environment possible and obtain more accurate predictions. © 2021 IEEE

    Bikepark Curico, Espacio Publico

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    75 p.Escuela de Arquitectura, Universidad de Talca. Resumen de Obra Alumno: Carlos Andrés Velásquez Ubille Período: 2008 - 2009. Proceso de diseño: Marzo 2008 – Diciembre 2008 Proceso de construcción: Etapa 1, Diciembre 2008 –Enero 2009 Etapa 2, Junio 2009 – Agosto 2009 Fecha de entrega de la obra: 20 de Octubre de 2009 Comisión evaluadora: Juan Román, Andrés Maragaño, Kenneth Gleiser Profesor guía: Juan Román Ubicación: Cerro Carlos Condell, Curicó Participantes construcción: Trabajadores de Inserción Laboral Oficina OMIL Curicó. Financiamiento: Ilustre Municipalidad de Curicó Costo Total Proyecto: $ 7.513.936 de pesos

    Three term relations for multivariate Uvarov orthogonal polynomials

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    Three term relations for orthogonal polynomials in several variables associated to a moment linear functional obtained by a Uvarov modification of a given moment functional are studied. Existence of Uvarov orthogonal polynomials is analyzed, stating conditions to ensure it. The matrices of the three term relations of the Uvarov orthogonal polynomials are explicitly given in terms of the matrices of the three term relations satisfied by the original family. Two examples are presented in order to show that the results are valid for positive definite linear functionals and also for some quasi definite linear functionals which are not positive definite.Agencia Estatal de Investigación | Ref. PID2020-113275GB-I00IMAG-María de Maeztu | Ref. CEX2020-001105-MAgencia Estatal de Investigación | Ref. PGC2018-094932-B-I00Junta de Andalucía | Ref. A-FQM-246-UGR20Universidade de Vigo/CISU

    The Role of Agreement Technologies in the Definition of Adaptive Software Architectures

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    The growing complexity of software systems is causing a re-conception of their development and maintenance strategies. Humans should be relieved from an important part of these tasks, which should be performed by systems themselves, leading to consider self-adaptation as a basic architectural concern. Simultaneously, Multi-Agent Systems (MAS) have been developed as a generic approach to solve complex problems. They describe self-aware structures,conceived to be flexible and to be able to adapt to different situations. Advances approaches use organizations to provide further structuring, taking the form of complex agent architectures. Among them, Agreement Technologies (AT) provides an explicit insight into those architectural abstractions. However, they still do not provide mechanisms to change their composition patterns and element types, which are necessary to achieve real self-adaptivity. In this article, we propose an architectural solution for this: the required dynamism will be supported by an emergent agreement - an evolving architectural structure, based on combining predefined controls and protocols. These are handled in the context of the service-oriented, agent-based and organization-centric framework defined in AT and provided by their implementation within the THOMAS platform. This work provides the first architectural abstractions to support this emergent structure. A real-world example showing the interest of this approach is also provided, and some conclusions about its applicability are finally outlined.Sociedad Argentina de Informática e Investigación Operativ

    Profesores universitarios y derechos humanos (reporte de un diagnóstico)

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    Investigación realizada a finales de la década de 1990, cuando se vivía una situación de escalada de violencia, crisis y discriminación. Se presentan los resultados de un diagnóstico realizado a los profesores del ITESO por medio de encuestas, entrevistas y análisis de materias y programas de estudio en lo relativo a los derechos humanos, enfocado en la visualización, aplicación e inclusión en su área académica, interés en el tema así como pensamientos personales al respecto. Se consideran importantes los derechos humanos para el ITESO al ser una universidad jesuita y socialmente responsable, por lo tanto con este estudio se pretende comprobar la certeza de su transmisión de parte de los profesores a los alumnos así como el ejercicio de los mismos.ITES
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