Search results for "Abstract"

Probabilistic squares and hexagons of opposition under coherence

2017

Various semantics for studying the square of opposition and the hexagon of opposition have been proposed recently. We interpret sentences by imprecise (set-valued) probability assessments on a finite sequence of conditional events. We introduce the acceptability of a sentence within coherence-based probability theory. We analyze the relations of the square and of the hexagon in terms of acceptability. Then, we show how to construct probabilistic versions of the square and of the hexagon of opposition by forming suitable tripartitions of the set of all coherent assessments on a finite sequence of conditional events. Finally, as an application, we present new versions of the square and of the…

Large number asympotics for dispersed, non regular distributions of inclusions in a fluid

We shall describe the large number asymtpotics for systems consisting in a fluid surrounding a non regular distributions of inclusions. The fluid satisfies a given boundary (or initial-boundary) value problem (involving a second order operator of divergence form) in a perforated domain and the holes in the domain are occupied by the inclusions; fluid and inclusions are coupled by the boundary conditions only. These systems are meant as models at some "microscopic" scale for describing, in a suitable asymptotics, the behaviour at a macroscopic level of composite media. We shall give a general overview of the results about the homogenized limit of such a kind of systems obtained in previous w…

Prognostic value of IL-6 and IL-10 serum levels and immunonutritional assessment in determining postoperative complications after geriatric surgery

2009

The onset of postoperative septic complications has recently been associated to serum levels of interleukin (IL) IL-6 and IL-10. Patients with complications have higher serum levels than patients without complication after surgery. IL-6 has been recognized as early marker of postoperative septic events. Furthermore IL-6 increases with age, expecially if there are associated diseases. It is a sign of functional deterioration of different organs. The disregulation in interleukin production, anesthetic drugs, hemorrhage and transfusions may lead to the onset of postoperative complications. The latter are more frequent in oncologic patients. The aim of our study is to evaluate pre- and postoper…

Inverse procedural modeling of 3D models for virtual worlds

2016

This course presents a collection of state-of-the-art approaches for modeling and editing of 3D models for virtual worlds, simulations, and entertainment, in addition to real-world applications. The first contribution of this course is a coherent review of inverse procedural modeling (IPM) (i.e., proceduralization of provided 3D content). We describe different formulations of the problem as well as solutions based on those formulations. We show that although the IPM framework seems under-constrained, the state-of-the-art solutions actually use simple analogies to convert the problem into a set of fundamental computer science problems, which are then solved by corresponding algorithms or opt…

Simple guidelines to predict self-phase modulation patterns

2018

International audience; We present a simple approach to predict the main features of optical spectra affected by self-phase modulation (SPM), which is based on regarding the spectrum modification as an interference effect. A two-wave interference model is found sufficient to describe the SPM-broadened spectra of initially transform-limited or up-chirped pulses, whereas a third wave should be included in the model for initially down-chirped pulses. Simple analytical formulae are derived, which accurately predict the positions of the outermost peaks of the spectra.

Agave. Contributo allo studio delle fonti della cultura umanistica in Italia nel Novecento. Bilancio di un progetto di ricerca

2014

Con il presente scritto si presenta Agave. Contributo allo studio delle fonti della storia dell'arte in Italia nel Novecento, il portale esito di una ricerca sulle fonti dell’arte del XX secolo. In questo contesto si intende sottolineare quanto lo spoglio di un quotidiano come il palermitano L’Ora, e la creazione di una base dati consultabile in rete, richieda una profonda consapevolezza della specificità delle fonti dell’arte contemporanea, e nello stesso tempo restituisca una risorsa multidisciplinare che consenta l’individuazione di informazioni utili alla ricerca storica. The present essay describes and analyzes Agave. Contributo allo studio delle fonti della storia dell'arte in Italia …

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

2016

Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face difficulties in coping with large training data sets. With the increasing amount of optical remote sensing data made available for analysis and the possibility of using a large amount of simulated data from radiative transfer models (RTMs) to train kernel MLRAs, efficient data reduction techniques will need to be implemented. Active learning (AL) methods enable to select the most informative samples in a data set. This letter introduces six AL methods for achieving optimized biophysical variable estimat…

Online Non-linear Topology Identification from Graph-connected Time Series

2021

Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance engineering. Inference of such causal dependencies, often know as topology identification, is not well studied for non-linear non-stationary systems, and most of the existing methods are batch-based which are not capable of handling streaming sensor signals. In this paper, we propose an online kernel-based algorithm for topology estimation of non-linear vector autoregressive time series by solving a sparse online optimization framework using the composite objective mirror descent…

Accurate Graph Filtering in Wireless Sensor Networks

2020

Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet of Things (IoT) paradigm. The recent emerging Graph Signal Processing field can also contribute to enabling the IoT by providing key tools, such as graph filters, for processing the data associated with the sensor devices. Graph filters can be performed over WSNs in a distributed manner by means of a certain number of communication exchanges among the nodes. But, WSNs are often affected by interferences and noise, which leads to view these networks as directed, random and time-varying graph topologies. Most of existing works neglect this problem by considering an unrealistic assumption that claims the…

Iterative Reconstruction of Signals on Graph

2020

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.