Search results for "ALMA"

showing 10 items of 265 documents

The 'Other' Coastal Area of Venice: Musical Ties with Istria and Dalmatia

2018

Despite the difficulty of classifying the art music of Istria and Dalmatia, and according to several degrees of subordination, adaptation, and autonomy from Venice and Italy, the essay examines the multilingual society of the aforementioned regions and the extraordinary development of a rare Slavic-Romance cultural symbiosis during the sixteenth century. The main topics focused are: 1- the linguistic and cultural frame, 2 - the professional music from Koper (Capodistria) to the free Republic of Dubrovnik (Rugusa), 3 - the music for Protestants and the policy of Catholic Church at the time of the Counter Reformation, 4 - the value of incidental music on stage, either in Croatian or Italian t…

Sixteenth-Century Music Venice Istria Dalmatia Slavic-Romance Cultural SymbiosSettore L-ART/07 - Musicologia E Storia Della MusicaMusica del sedicesimo secolo Venezia Istria Dalmazia Simbiosi culturale slavo-romanza
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New novel idea for Cloud Computing: How can we use Kalman filter in security of Cloud Computing

2012

Cloud is a virtual image about some amount of undefined powers, that is widespread and had unknown power and inexact amount of hardware and software configurations, and because of we have not any information about clouds location and time dimensions and also the amounts of its sources we tell that Cloud Computing. This technology presents lots of abilities and opportunities such as processing power, storage and accessing it from everywhere, supporting, working - team group - with the latest versions of software and etc., by the means of internet. On the other hand, in such a large scale networks we should consider the reliability and powerfulness of such networks in facing with events such …

SoftwareUtility computingFilter (video)Computer sciencebusiness.industryReliability (computer networking)Distributed computingCloud testingThe InternetCloud computingKalman filterbusiness2012 6th International Conference on Application of Information and Communication Technologies (AICT)
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Las cadenas, el sepulcro y el fango del Hades. Platón y la meditatio mortis en el Fedón

2012

Resumen: Nuestro propósito en estas páginas es analizar sucintamente la concepción de la filosofía como una meditatio mortis propuesta por Platón en el Fedón, y algunas de las ideas más importantes vinculadas con ella, como son la idea del dominio de la razón sobre deseos, pasiones y sentimientos, el carácter absurdo del temor a la muerte o la concepción del lenguaje como un fármaco destinado a desapegar el alma de los males del cuerpo en la medida de lo posible. The aim of this paper is to succintly analyze the conception of philosophy as a meditatio mortis presented by Plato in the Phedo, as well as some of the most important ideas associated with it: the command of reason over desires, p…

SoulPlatónAlmaBodyCuerpoSöphrosýnëPlato
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State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

2008

An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity vector at the same time for a non conventional unmanned aircraft. The proposed observer uses few measurements, obtained by means of either conventional simple air data sensors or a low cost GPS. To cope with the low rate of the GPS with respect to the other sensors, the EKF algorithm has been modified to allow for a dual rate measurement model. State propagation is obtained by means of an accurate six degrees of freedom nonlinear model of the aircraft dynamics. To obtain joint estimation of state and disturbance, wind velocity components are included in the set of the state variables. Both stoc…

State variableEngineeringObserver (quantum physics)business.industrySettore ING-IND/03 - Meccanica Del VoloWind speedExtended Kalman filterNonlinear systemSettore ICAR/05 - TrasportiControl theoryGlobal Positioning SystemSix degrees of freedomState observerbusinessAircraft modelsExtended Kalman filtersPosition controlRemotely operated vehiclesSensorsState estimationTurbulence models15th AIAA International Space Planes and Hypersonic Systems and Technologies Conference
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Descriptor-type Kalman Filter and TLS EXIN Speed Estimate for Sensorless Control of a Linear Induction Motor.

2014

This paper proposes a speed observer for linear induction motors (LIMs), which is composed of two parts: 1) a linear Kalman filter (KF) for the online estimation of the inductor currents and induced part flux linkage components; and 2) a speed estimator based on the total least squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, estimated by the KF, and provides as output the LIM linear speed, which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine. The end effects of the LIMs have been considered an uncertainty treated by the KF. The TLS EXIN neuron has been used to compute, in …

State variableEngineeringObserver (quantum physics)neural networks (NNs)linear induction motor controlLinear Induction Motor (LIM) Kalman Filter Total Least-Squares Neural Networks.Industrial and Manufacturing EngineeringSettore ING-INF/04 - AutomaticaKalman filter (KF)Control theorylinear induction motor (LIM)state estimationElectrical and Electronic EngineeringTotal least squaresAlpha beta filterArtificial neural networkbusiness.industryEstimatorKalman filterLinear motorFlux linkagetotal least squares (TLS)Control and Systems EngineeringLinear induction motorbusinessInduction motor
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Extended Kalman Filter for sensorless control of induction motors

2010

This paper deals with speed and rotor flux estimation of induction motors via Extended Kalman Filter (EKF). The filter is designed starting from a discrete time model obtained by means of a first order discretization of the original nonlinear model of the induction motor (IM). In order to obtain accurate estimation of the above mentioned variables, the load torque is included into the state variables and then estimated, thus constructing a sixth order EKF. Experimental results are shown with reference to a closed loop sensorless control system, consisting of a 750 W induction motor supplied by a voltage source inverter, a cascade controller consisting of four PI control loops and the design…

State variableEngineeringbusiness.industryControl engineeringKalman filterInvariant extended Kalman filterExtended Kalman filterSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theoryFilter (video)Control systemFull state estimation sensorless control experimental validation.TorquebusinessInduction motor2010 First Symposium on Sensorless Control for Electrical Drives
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Joint Graph Learning and Signal Recovery via Kalman Filter for Multivariate Auto-Regressive Processes

2018

In this paper, an adaptive Kalman filter algorithm is proposed for simultaneous graph topology learning and graph signal recovery from noisy time series. Each time series corresponds to one node of the graph and underlying graph edges express the causality among nodes. We assume that graph signals are generated via a multivariate auto-regressive processes (MAR), generated by an innovation noise and graph weight matrices. Then we relate the state transition matrix of Kalman filter to the graph weight matrices since both of them can play the role of signal propagation and transition. Our proposed Kalman filter for MAR processes, called KF-MAR, runs three main steps; prediction, update, and le…

State-transition matrixMultivariate statistics010504 meteorology & atmospheric sciencesNoise measurementComputer scienceInference020206 networking & telecommunications02 engineering and technologyKalman filter01 natural sciencesGraphMatrix (mathematics)Autoregressive model0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theoryOnline algorithmTime seriesAlgorithm0105 earth and related environmental sciences2018 26th European Signal Processing Conference (EUSIPCO)
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Bayesian subset selection for additive and linear loss function

1979

Given k independent samples of common size n from k populations πj,…,πk with distribution the problem is to select a non-empty subset form {πj,…,πk}, which is associated with "good" (large) θ-values. We consider this problem from a Bayesian approach. By choosing additive and especially linear loss functions we try to fill a gap lying in between the results of Deely and Gupta (1968) and more recent papers due to Goel and Rubin (1977), Gupta and Hsu (1978) and other authors. It is shown that under acertain "normal model" Seal's procedure turns out to be Bayes w.r.t. an unrealistic loss function where as Gupta's maximunl means procedure turns out to be ( for large n) asymptotically Bayes w.r. …

Statistics and ProbabilityCombinatoricsBayes' theoremDistribution (mathematics)Selection (relational algebra)Bayesian probabilityStatisticsGoelKalman filterFunction (mathematics)RegressionMathematicsCommunications in Statistics - Theory and Methods
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Interest rate gaps in an uncertain global context: why "too" low (high) for "so" long?

2022

We study the behaviour of real interest rate gaps-i.e. periods of real interest rates above (below) the natural interest rate-and link their length with a set of key observable determinants. Using quarterly data for 13 OECD countries over (close to) the last 60 years, we find that global risk-taking, CPI inflation, (un)conventional monetary policy, and income redistribution crucially shape the duration of both events. However, while labour-related supply-side factors appear to affect the length of positive interest rate gaps, the adoption of an inflation targeting regime and the current account balance seem to explain the duration of negative interest rate gaps. Our results suggest that the…

Statistics and ProbabilityEconomics and EconometricsMathematics (miscellaneous)Weibull modelGlobal and domestic factorsInequalityEconomic and monetary conditions and supply-sideSavings-glutKalman filterNatural interest rateSocial Sciences (miscellaneous)
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Model comparison and selection for stationary space–time models

2007

An intensive simulation study to compare the spatio-temporal prediction performances among various space-time models is presented. The models having separable spatio-temporal covariance functions and nonseparable ones, under various scenarios, are also considered. The computational performance among the various selected models are compared. The issue of how to select an appropriate space-time model by accounting for the tradeoff between goodness-of-fit and model complexity is addressed. Performances of the two commonly used model-selection criteria, Akaike information criterion and Bayesian information criterion are examined. Furthermore, a practical application based on the statistical ana…

Statistics and ProbabilityMathematical optimizationCovariance functionbusiness.industryApplied MathematicsModel selectionMultilevel modelKalman filterCovarianceMachine learningcomputer.software_genreComputational MathematicsComputational Theory and MathematicsGoodness of fitBayesian information criterionArtificial intelligenceAkaike information criterionbusinesscomputerMathematicsComputational Statistics & Data Analysis
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