Vector Space Model
Mostrando 1-12 de 47 artigos, teses e dissertações.
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1. A Model Predictive Guidance Strategy for a Multirotor Aerial Vehicle
ABSTRACT: The present study faces the problem of safely controlling the position trajectory of a multirotor aerial vehicle subjected to a conic constraint on the total thrust vector and a linear convex constraint on the position vector. The problem is solved using a linear state-space model predictive control strategy, whose optimization is made handy by rep
J. Aerosp. Technol. Manag.. Publicado em: 2017-03
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2. Reflection of attenuated waves at the surface of a fractured porous solid saturated with two immiscible viscous fluids
The mathematical model for wave motion in a fractured porous solid is solved for the propagation of harmonic plane wave along a general direction in 3-D space. The solution is obtained in the form of Christoffel equations, which are solved further to define the complex velocities and polarisations of five attenuated wavesin the medium. Four of these waves ar
Lat. Am. j. solids struct.. Publicado em: 2014-12
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3. Um estudo sobre o papel de medidas de similaridade em visualização de coleções de documentos / A study on the role of similarity measures in visual text analytics
Information visualization techniques, such as similarity based point placement, are used for generating of visual data representation that evidence some patterns. These techniques are sensitive to data quality, which depends of a very influential preprocessing step. This step involves cleaning the text and in some cases, detecting terms and their weights, as
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/09/2012
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4. Geografia e epidemiologia da dengue na cidade de Uberlândia, MG (2003-2010): uma abordagem holística / Geographical and epidemiological of dengue disease in the city of Uberlândia (2003-2010): an holistic approach
Dengue is a viral disease transmitted by mosquitoes, most common among humans. Over the past years, has become an important public health problem worldwide. The geographical distribution of vectors and viruses led to the global resurgence of the epidemical and the emergence of dengue hemorrhagic, which is affecting mainly the adult population. Since 1993, ye
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 31/05/2012
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5. Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We suggest a new two-step model selection procedure which is a hybrid of traditional criteria and criteria with data-dependant penalties and we p
Escola de Pós-Graduação em Economia da FGV. Publicado em: 27/01/2011
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6. µ-synthesis for unmanned underwater vehicles current disturbance rejection
This note focuses attention on a novel approach to disturbance rejection when the µ-synthesis control procedure is applied to Unmanned Underwater Vehicles (UUVs). Environmental external disturbances simplify to ocean current for a totally submerged vehicle and greatly contributes for hydrodynamical loads and the tether cable disturbance. Our case scenario d
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2011-09
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7. Transições de fase hádron-quark em estrelas de nêutrons
Recent advances on the field of high energy physics have enabled the study of matter under extreme conditions and, in this context, new states of matter are being discovered and speculated upon. Among these hypothetical states of matter is the one of deconfined quarks in high densities and/or temperatures. An environment with extreme densities and low temper
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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8. Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We consider model selection criteria which have data-dependent penalties as well as the traditional ones. We suggest a new two-step model selecti
Escola de Pós-Graduação em Economia da FGV. Publicado em: 13/09/2010
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9. Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
We study the joint determination of the lag length, the dimension of the cointegrating space and the rank of the matrix of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We consider model selection criteria which have data-dependent penalties as well as the traditional ones. We suggest a new two-step model selecti
Publicado em: 29/03/2010
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10. Seismic data inversion by cross-hole tomography using geometrically uniform spatial coverage
One of the inversion schemes most employed in seismic tomography processing is least squares and derived algorithms, using as input data the vector of first arrivals. A division of the whole space between sources and receivers is performed, constructing a pixel model with its elements of the same size. Spatial coverage is defined, then, as the sum of travele
Revista Brasileira de Geofísica. Publicado em: 2010-03
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11. Order of accuracy study of unstructured grid finite volume upwind schemes
A detailed numerical study is presented of the order of accuracy of some proposed cell centered, finite volume schemes used for the solution of the 2-D gasdynamic equations on triangular unstructured grids. The schemes studied are based on a MUSCL-type linear reconstruction of interface properties, which seeks to achieve 2nd-order accuracy in space. They are
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2010-03
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12. A FRAMEWORK FOR THE CONSTRUCTION OF MEDIATORS OFFERING DEDUPLICATION / UM FRAMEWORK PARA A CONSTRUÇÃO DE MEDIADORES OFERECENDO ELIMINAÇÃO DE DUPLICATAS
As Web applications that obtain data from different sources (Mashups) grow in importance, timely solutions to the duplicate detection problem become central. Most existing techniques, however, are based on machine learning algorithms, that heavily rely on the use of relevant, manually labeled, training datasets. Such solutions are not adequate when talking a
Publicado em: 2010