27,510 research outputs found
Julio Pimentel Alvarez, Marco Tulio Ciceron. Disputas Tusculanas, Libros I-II et II-V
No full textVan den Bruwaene Martin. Julio Pimentel Alvarez, Marco Tulio Ciceron. Disputas Tusculanas, Libros I-II et II-V. In: L'antiquité classique, Tome 51, 1982. p. 448
Julio PlMENTEL ALVAREZ, Marco Tulio Cicerón. Las paradojas de los Estoicos.
No full textKnecht Daniel. Julio PlMENTEL ALVAREZ, Marco Tulio Cicerón. Las paradojas de los Estoicos.. In: L'antiquité classique, Tome 72, 2003. p. 397
Julio PIMENTEL ALVAREZ (Ed.), Marco Tulio Cicerón. Catón el Major : de la Vejez, de la Amistad.
No full textKnecht Daniel. Julio PIMENTEL ALVAREZ (Ed.), Marco Tulio Cicerón. Catón el Major : de la Vejez, de la Amistad. . In: L'antiquité classique, Tome 69, 2000. p. 356
Julio Pimentel Alvarez, Marco Tulio Ciceron. Questiones Academicas, Introducción, traducción y notas
No full textVan den Bruwaene Martin. Julio Pimentel Alvarez, Marco Tulio Ciceron. Questiones Academicas, Introducción, traducción y notas. In: L'antiquité classique, Tome 52, 1983. pp. 364-365
MABS validation through repeated execution and data mining analysis
No full textAgent Based Modelling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behaviour with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behaviour is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation
Facades of the Libreria di San Marco in Venice, The: An Interpretation of the Design Process
No full text"A new work in which I propose an interpretation of the design process Sansovino used to create the magnificent facades of the Libreria di San Marco in Venice, a masterpiece of Renaissance architecture." Sent to Marquand librarian by author Dec. 202
Art without an Author: Vasari’s Lives and Michelangelo’s Death
No full textMonografia sulla rappresentazione di Michelangelo nelle due edizioni delle Vite, sulla storia del libro e la questione della sua paternitàBook dedicated to the representation of Michelangelo in Vasari's Lives of the Artists, to the history of the book, and to the problem of its authorshi
Sampling on-demand with fleets of underwater gliders
No full textThis paper presents an optimal sampling approach
to plan the optimum paths for a glider fleet. Optimal sampling has recently received considerable attention in the research community and consists in planning the paths to minimize some sampling metrics related to the phenomenon under study. Different criteria (e.g. A, G, or E optimality) used in the geosciences to obtain an optimum design lead to different sampling strategies. In particular, the A criterion produces paths for the gliders that minimize the overall level of uncertainty over the area of interest. However, there are commonly operative situations in which the marine scientists may prefer not to minimize the overall uncertainty of a certain area, but instead they may be interested in achieving an acceptable uncertainty sufficient for the scientific or operational needs of the mission. We propose and discuss here an approach named sampling on-demand that explicitly addresses this need. In our approach the user provides an objective map, setting both the amount and the geographic distribution of the uncertainty to be achieved after assimilating the information gathered by the fleet. A new optimality criterion, A{_eta}, is introduced. The resulting optimization problem is solved by an algorithm based on Simulated Annealing producing optimum paths for the vehicles. The algorithm takes into account the constraints imposed by the glider navigation features, the desired geometric features of the paths and the problems of reachability caused by ocean currents. Ocean currents and temperature data resulted from an ocean mathematical model are used to validate the method in different scenarios in a area covering the Western Mediterranean Sea
Mission Planning and Decision Support for Underwater Glider Networks: a Sampling on-Demand Approach
No full textThis paper describes an optimal sampling approach to support glider fleet operators and marine scientists during the complex task of planning the missions of fleets of underwater gliders. Optimal sampling, which has gained considerable attention in the last decade, consists in planning the paths of gliders to minimize a specific criterion pertinent to the phenomenon under investigation. Different criteria (e.g., A, G, or E optimality), used in geosciences to obtain an optimum design, lead to different sampling strategies. In particular, the A criterion produces paths for the gliders that minimize the overall level of uncertainty over the area of interest. However, there are commonly operative situations in which the marine scientists may prefer not to minimize the overall uncertainty of a certain area, but instead they may be interested in achieving an acceptable uncertainty sufficient for the scientific or operational needs of the mission. We propose and discuss here an approach named sampling on-demand that explicitly addresses this need. In our approach the user provides an objective map, setting both the amount and the geographic distribution of the uncertainty to be achieved after assimilating the information gathered by the fleet. A novel optimality criterion, called A η , is proposed and the resulting minimization problem is solved by using a Simulated Annealing based optimizer that takes into account the constraints imposed by the glider navigation features, the desired geometry of the paths and the problems of reachability caused by ocean currents. This planning strategy has been implemented in a Matlab toolbox called SoDDS (Sampling on-Demand and Decision Support). The tool is able to automatically download the ocean fields data from MyOcean repository and also provides graphical user interfaces to ease the input process of mission parameters and targets. The results obtained by running SoDDS on three different scenarios are provided and show that SoDDS, which is currently used at NATO STO Centre for Maritime Research and Experimentation (CMRE), can represent a step forward towards a systematic mission planning of glider fleets, dramatically reducing the efforts of glider operators
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