Search results for "computer.software_genre"
showing 10 items of 3858 documents
Estimating brain connectivity when few data points are available: Perspectives and limitations
2017
Methods based on the use of multivariate autoregressive modeling (MVAR) have proved to be an accurate and flexible tool for the estimation of brain functional connectivity. The multivariate approach, however, implies the use of a model whose complexity (in terms of number of parameters) increases quadratically with the number of signals included in the problem. This can often lead to an underdetermined problem and to the condition of multicollinearity. The aim of this paper is to introduce and test an approach based on Ridge Regression combined with a modified version of the statistics usually adopted for these methods, to broaden the estimation of brain connectivity to those conditions in …
Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem
2013
[EN] The use of archetypal analysis is proposed in order to determine a set of representative cases that entail a certain percentage of the population, in the accommodation problem. A well-known anthropometric database has been used in order to compare our methodology with the common used PCA-approach, showing the advantages of our methodology: the level of accommodation is reached unlike the PCA approach, no more adjustments are necessary, the user can decide the number of archetypes to consider or leave the selection by a criterion. Unlike PCA, the objective of the archetypal analysis is obtaining extreme individuals, so it is the appropriate statistical technique for solving this type of…
Vector Autoregressive Fractionally Integrated Models to Assess Multiscale Complexity in Cardiovascular and Respiratory Time Series
2020
Cardiovascular variability is the result of the activity of several physiological control mechanisms, which involve different variables and operate across multiple time scales encompassing short term dynamics and long range correlations. This study presents a new approach to assess the multiscale complexity of multivariate time series, based on linear parametric models incorporating autoregressive coefficients and fractional integration. The approach extends to the multivariate case recent works introducing a linear parametric representation of multiscale entropy, and is exploited to assess the complexity of cardiovascular and respiratory time series in healthy subjects studied during postu…
Crowdsourcing Cultural Heritage: From 3D Modeling to the Engagement of Young Generations
2016
Monitoring, digitizing and archiving museum artworks represent an important socio-cultural accomplishment and an overcoming in digital preservation today. Cultural heritage is constantly under threat of terrorist attacks and natural disaster. The high costs related to documentation task have prevented a constantly and massive survey activity. The low cost 3D image based acquisition and elaboration techniques of an object, allow to carry out a 3D photorealistic model in a short time. Therefore, a lot of museum adopted these techniques for the artworks archiving. Crowdsourcing activities can significantly speed up survey and elaboration procedures. If, on the one hand, these initiatives can h…
Position coding effects in a 2D scenario: the case of musical notation.
2013
How does the cognitive system encode the location of objects in a visual scene? In the past decade, this question has attracted much attention in the field of visual-word recognition (e.g., "jugde" is perceptually very close to "judge"). Letter transposition effects have been explained in terms of perceptual uncertainty or shared "open bigrams". In the present study, we focus on note position coding in music reading (i.e., a 2D scenario). The usual way to display music is the staff (i.e., a set of 5 horizontal lines and their resultant 4 spaces). When reading musical notation, it is critical to identify not only each note (temporal duration), but also its pitch (y-axis) and its temporal seq…
Mercury$$^\mathrm{\textregistered }$$: A Software Based on Fuzzy Clustering for Computer-Assisted Composition
2019
We present Mercury, a new software for computer-assisted composition based on fuzzy clustering algorithms. This software is able to generate a big number of transitions between any two different melodies, harmonic progressions or rhythmical patterns. Mercury works with symbolic music notation. The software is, therefore, able to read music and to export the generated musical production into MusicXML format. This paper focusses on some theoretical aspects of the CFT algorithm implemented in the software in order to create those complete transitions, overviewing not only the structure of the program but the user’s interface and its music notation module. Finally, the wide variety of compositi…
A Grid Enabled Parallel Hybrid Genetic Algorithm for SPN
2004
This paper presents a combination of a parallel Genetic Algorithm (GA) and a local search methodology for the Steiner Problem in Networks (SPN). Several previous papers have proposed the adoption of GAs and others metaheuristics to solve the SPN demonstrating the validity of their approaches. This work differs from them for two main reasons: the dimension and the features of the networks adopted in the experiments and the aim from which it has been originated. The reason that aimed this work was namely to assess deterministic and computationally inexpensive algorithms which can be used in practical engineering applications, such as the multicast transmission in the Internet. The large dimen…
Part of speech tagging with Naïve Bayes methods
2014
A narratological approach to content selection in audio description: towards a strategy for the description of narratological time
2012
As more and more countries start to provide audio description services for a growing range of products and events, research into this new discipline is growing and diversifying as well. Two questions that seem to be at the heart of much of this research focus on what should be described and how this should be done, in other words on content selection and formulation of the description. The present article looks at the first of these two questions and approaches it from a narratological point of view. After a general discussion of the use of narratology for audio description, the focus will shift to one particular constituent of narrative, namely time. The different temporal aspects will be …
State surveillance as a threat to personal security of individuals
2015
Changes in modern society are crucial to individuals. Article starts with analysis of control in nowadays societies. Then author tries to understand useful categories, as "Panopticon", "ban-opticon" and "synopticon". Last part is focused on stete surveillance, i.e. surveillance by American National Security Agency.