In their goal to effectively manage the use of existing infrastructures, intelligent transportation systems require precise forecasting of near‐term traffic volumes to feed real‐time analytical models and traffic surveillance tools that alert of network links reaching their capacity. This article proposes a new methodological approach for short‐term predictions of time series of volume data at isolated cross sections. The originality in the computational modeling stems from the fit of threshold values used in the stationary wavelet‐based denoising process applied on the time series, and from the determination of patterns that characterize the evolution of its samples over a fixed prediction horizon. A self‐organizing fuzzy neural network is optimized in its configuration parameters for learning and recognition of these patterns. Four real‐world data sets from three interstate roads are considered for evaluating the performance of the proposed model. A quantitative comparison made with the results obtained by four other relevant prediction models shows a favorable outcome.
The Cloud Computing paradigm means a radical change over the IT technologies. This transform offers us many benefits in terms of e-services.Cloud Computing offers us a new solution for the implementation of electronic management system in a huge variety of fields. So the e-health is included on these solutions.Despite the fact that Cloud Computing is under development there are a lot of opportunities of implementation of Cloud Computing over e-health services. So in this paper we are going to discuss the viability of the implementation of this new model over an Electronic Health Records (EHRs) system.To find an answer of this issue we are going to analyze the benefits and constraints that can be given in this kind of systems.
RESUMENEl paradigma de Cloud Computing supone un cambio radical en las tecnologías IT.Lo cual puede ofrecer muchos beneficios a los servicios electrónicos. Cloud nos ofrece una nueva solución para la implantación de sistemas de gestión electrónicos en muchos campos, entre ellos el de e-health.A pesar de que este tipo de soluciones están aún en pleno desarrollo existen muchas oportunidades para el campo de ehealth. En este artículo vamos a exponer la viabilidad de la implementación de este nuevo modelo sobre un sistema de Historiales Clínicos Electrónicos (HCEs) a nivel teórico. Para encontrar respuesta a todo esto analizaremos los beneficios y obstáculos de esta solución sobre un sistema de HCEs.
This paper describes the adaptation process to the European Credit Transfer System requirements of several subjects aiming at the Information and Communication Technologies (ICT) learning. Specifically, these subjects are sited at the Telecommunications Engineering studies lectured in the University of Valladolid. In a first step two first grade subjects have been established, while in a second and final step, coinciding with the new degrees beginning, it will be extended to five subjects placed in consecutive semesters.The global programming has been divided into several subprojects of growing complexity, developed into subjects sited in different and successive semesters of the degree, following a pathway leading to the development of a global project throughout four years. The whole learning process is ICTsupported, as tools for overcoming distance and scheduling barriers are offered. In particular, Moodle platform is used, which has been enhanced with self-evaluation and co-evaluation tools developed by the teaching group. Main innovation regarding to the classical approach consists of a computer programming subject focused on the student learning and based on the detailed specification of the activity the students have to perform in and out of the classroom in order to achieve the educational objectives of each of the subjects. The educational strategies used to accomplish these objectives are based on the cooperative learning, on the teamwork developing a programming project (Project Based Learning, PBL), and on the discovery learning.
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