Search results for "reduction"

A Blockchain-based Platform for Positive Energy Districts

2022

The reduction of climate change effects (mitigation) is now mainly driven by the limitation of CO2 emissions which is currently becoming increasingly necessary and urgent to achieve. In this context, within the past Horizon 2020 program, the Urban Europe Joint Programming Initiative aimed to promote the development and deployment of at least 100 Positive Energy Districts by 2025. The latter are flexible, energy-efficient urban areas or groups of buildings that produce zero net CO2 emissions and actively manage annual renewable energy surplus production at the local or regional level. As they are connected to the electric power system, Positive Energy Districts have the ability to offer flex…

The Shift toward a Sustainable Urban Mobility through Decision Support Systems

2017

This chapter examines Decision support systems (DSS) are instrumental in the sustainable development of urban mobility, as they are useful to each decision maker to better predict, evaluate, and measure the impact of alternative solutions and to take informed and evidence-based decisions. It presents a number of DSSs explaining how sustainable mobility targets could be reached through these systems. The chapter highlights the transition toward a more sustainable mobility model not only comprises innovation at vehicle or infrastructure level, but also requires interdisciplinary and cross-sectorial expertise together with effective decision making support. When a DSS for sustainable urban mob…

Real-Time Body Gestures Recognition Using Training Set Constrained Reduction

2017

Gesture recognition is an emerging cross-discipline research field, which aims at interpreting human gestures and associating them to a well-defined meaning. It has been used as a mean for supporting human to machine interaction in several applications of robotics, artificial intelligence, and machine learning. In this paper, we propose a system able to recognize human body gestures which implements a constrained training set reduction technique. This allows the system for a real-time execution. The system has been tested on a publicly available dataset of 7,000 gestures, and experimental results have highlighted that at the cost of a little decrease in the maximum achievable recognition ac…

Multimodal Mean Adaptive Backgrounding for Embedded Real-Time Video Surveillance

2007

Automated video surveillance applications require accurate separation of foreground and background image content. Cost sensitive embedded platforms place realtime performance and efficiency demands on techniques to accomplish this task. In this paper we evaluate pixel-level foreground extraction techniques for a low cost integrated surveillance system. We introduce a new adaptive technique, multimodal mean (MM), which balances accuracy, performance, and efficiency to meet embedded system requirements. Our evaluation compares several pixel-level foreground extraction techniques in terms of their computation and storage requirements, and functional accuracy for three representative video sequ…

Carlos I. Massini Correas Riduzionismo, fatti sociali e normatività del diritto

2013

A non-reductionist Physiologism. Nietzsche on Body, Mind and Cosciousness

2013

This paper addresses the following questions from the point of view of Nietzsche’s philosophy: What is the mind, and which kind of relationship does it hold to the body? Accordingly, the aim of this paper is to show that Nietzsche’s philosophy suggested a view of the mind that allows to outline an alternative stance to both mentalism and physicalism, as well as to both dualism and reductionism. It is argued that Nietzsche’s rehabilitation of the body as the specific seat of the mind in opposition to the Cartesian supremacy of the Ego still is of a great interest for contemporary philosophy, since it is not equivalent either to a reversed form of Cartesian dualism or to a physicalist reducti…

Fenomenologia teorica e sperimentale e scienza della visione

2015

In this theoretical paper, the claim is defended that phenomenology of perception can be integrated into vision science. Different versions of theoretical and experimental phenomenology are presented to specify a minimal set of commitments. It is claimed that the phenomenological research into perception, be it delivered in the form of conceptual analysis or of experimental research, satisfies the epistemological and methodological substantive features of these commitments. As an empirical case for the contribution that the integration of phenomenology into vision science could bring about, the paper presents a received view in the visual neurosciences and the objections against its element…

The action of the unitary group associated with a quadratic extension of fields

1999

Given a quadratic extension L/k of fields of characteristic different from 2 and a unitary space (V, f) of finite dimension over L, we give a representation, as simple as possible, of the form which f induces by restriction on a k-substructure of V. This, in turn, allows one to study the orbits of the unitary group U(V, f) in the set of k-substructures of V of a given dimension.

A Generalized Missing-Indicator Approach to Regression with Imputed Covariates

2011

We consider estimation of a linear regression model using data where some covariate values are missing but imputations are available to fill in the missing values. This situation generates a tradeoff between bias and precision when estimating the regression parameters of interest. Using only the subsample of complete observations does not cause bias but may imply a substantial loss of precision because the complete cases may be too few. On the other hand, filling in the missing values with imputations may cause bias. We provide the new Stata command gmi, which handles such tradeoff by using either model reduction or Bayesian model averaging techniques in the context of the generalized miss…

FDA dimension reduction techniques and components separation in Fourier-transform infrared spectroscopy

2020

FTIR spectroscopy is a measurement technique used to obtain an infrared spectrum of absorption of a solid (or a liquid or a gas), for the characterization of specific chemical components of materials. When repeated measures are taken on samples of materials, the result is a collection of spectra representing a set of samples from continous functions (signals) defined in the domain of the frequencies. An unifying approach to the study of a collection of FTIR spectra is proposed to deal with the presence of random shifts in the peaks, the identification of representative spectra and finally the characterization of the observed differences: in the functional data framework, the performance of …