58,685 research outputs found
Gravitational field of an infinitely long supermassive cosmic string
We obtain an exact solution of the coupled Einstein-scalar-gauge field
equations for a local infinitely long supermassive cosmic string. The solution
correponds to that of Hiscock-Gott . The string appears to be due to the
freezing of the scalar field at the null value giving rise to a constant linear
energy density.Comment: Latex, 8 page
Towards an Efficient Prolog System by Code Introspection
To appear in Theory and Practice of Logic Programming (TPLP). Several Prolog
interpreters are based on the Warren Abstract Machine (WAM), an elegant model
to compile Prolog programs. In order to improve the performance several
strategies have been proposed, such as: optimize the selection of clauses,
specialize the unification, global analysis, native code generation and
tabling. This paper proposes a different strategy to implement an efficient
Prolog System, the creation of specialized emulators on the fly. The proposed
strategy was implemented and evaluated at YAP Prolog System, and the
experimental evaluation showed interesting results.Comment: 10 page
Quantum entanglement driven by electron-vibrational mode coupling
In this work, we provided a proof-of-principle of efficient production of
maximally entangled states using charged quantum dots coupled to vibrational
modes. The physical system consists of two pairs of quantum dots, each pair
with a single electron able to tunnel between the dots, thus encoding a qubit.
The electrons, initially not coupled, interact with two bosonic vibrational
modes. It is demonstrated that the electron-vibrational mode coupling drives to
an effective electron-electron interaction, which is the main mechanism behind
the formation of maximally quantum entangled electronic states. The effect of
this coupling follows a non-monotonic behavior, which is explained through an
effective hamiltonian which takes into account high order transition processes.Comment: revised version, 13 pages, 7 figure
Wavelet Analysis as an Information Processing Technique
A new interpretation for the wavelet analysis is reported, which can is
viewed as an information processing technique. It was recently proposed that
every basic wavelet could be associated with a proper probability density,
allowing defining the entropy of a wavelet. Introducing now the concept of
wavelet mutual information between a signal and an analysing wavelet fulfils
the foundations of a wavelet information theory (WIT). Both continuous and
discrete time signals are considered. Finally, we showed how to compute the
information provided by a multiresolution analysis by means of the
inhomogeneous wavelet expansion. Highlighting ideas behind the WIT are
presented.Comment: 6 pages, 6 tables, VI International Telecommunications Symposium
(ITS2006), September 3-6, Fortaleza, Brazi
How far did we get in face spoofing detection?
The growing use of control access systems based on face recognition shed
light over the need for even more accurate systems to detect face spoofing
attacks. In this paper, an extensive analysis on face spoofing detection works
published in the last decade is presented. The analyzed works are categorized
by their fundamental parts, i.e., descriptors and classifiers. This structured
survey also brings the temporal evolution of the face spoofing detection field,
as well as a comparative analysis of the works considering the most important
public data sets in the field. The methodology followed in this work is
particularly relevant to observe trends in the existing approaches, to discuss
still opened issues, and to propose new perspectives for the future of face
spoofing detection
Convergence and inference for mixed Poisson random sums
In this paper we obtain the limit distribution for partial sums with a random
number of terms following a class of mixed Poisson distributions. The resulting
weak limit is a mixing between a normal distribution and an exponential family,
which we call by normal exponential family (NEF) laws. A new stability concept
is introduced and a relationship between {\alpha}-stable distributions and NEF
laws is established. We propose estimation of the parameters of the NEF models
through the method of moments and also by the maximum likelihood method, which
is performed via an Expectation-Maximization algorithm. Monte Carlo simulation
studies are addressed to check the performance of the proposed estimators and
an empirical illustration on financial market is presented.Comment: 2
Eigensequences for Multiuser Communication over the Real Adder Channel
Shape-invariant signals under the Discrete Fourier Transform are
investigated, leading to a class of eigenfunctions for the unitary discrete
Fourier operator. Such invariant sequences (eigensequences) are suggested as
user signatures over the real adder channel (t-RAC) and a multiuser
communication system over the t-RAC is presented.Comment: 6 pages, 1 figure, 1 table. VI International Telecommunications
Symposium (ITS2006
Orthogonal Multilevel Spreading Sequence Design
Finite field transforms are offered as a new tool of spreading sequence
design. This approach exploits orthogonality properties of synchronous
non-binary sequences defined over a complex finite field. It is promising for
channels supporting a high signal-to-noise ratio. New digital multiplex schemes
based on such sequences have also been introduced, which are multilevel Code
Division Multiplex. These schemes termed Galois-field Division Multiplex (GDM)
are based on transforms for which there exists fast algorithms. They are also
convenient from the hardware viewpoint since they can be implemented by a
Digital Signal Processor. A new Efficient-bandwidth
code-division-multiple-access (CDMA) is introduced, which is based on
multilevel spread spectrum sequences over a Galois field. The primary advantage
of such schemes regarding classical multiple access digital schemes is their
better spectral efficiency. Galois-Fourier transforms contain some redundancy
and only cyclotomic coefficients are needed to be transmitted yielding compact
spectrum requirements.Comment: 9 pages, 5 figures. In: Coding, Communication and Broadcasting.1
ed.Hertfordshire: Reseach Studies Press (RSP), 2000. ISBN 0-86380-259-
Extended Dynamic Generalized Linear Models: the two-parameter exponential family
We develop a Bayesian framework for estimation and prediction of dynamic
models for observations from the two-parameter exponential family. Different
link functions are introduced to model both the mean and the precision in the
exponential family allowing the introduction of covariates and time series
components. We explore conjugacy and analytical approximations under the class
of partial specified models to keep the computation fast. The algorithm of
West, Harrison and Migon (1985) is extended to cope with the two-parameter
exponential family models. The methodological novelties are illustrated with
two applications to real data. The first, considers unemployment rates in
Brazil and the second some macroeconomic variables for the United Kingdom.Comment: 24 pages, 7 figures, 4 table
Introducing an Analysis in Finite Fields
Looking forward to introducing an analysis in Galois Fields, discrete
functions are considered (such as transcendental ones) and MacLaurin series are
derived by Lagrange's Interpolation. A new derivative over finite fields is
defined which is based on the Hasse Derivative and is referred to as negacyclic
Hasse derivative. Finite field Taylor series and alpha-adic expansions over
GF(p), p prime, are then considered. Applications to exponential and
trigonometric functions are presented. Theses tools can be useful in areas such
as coding theory and digital signal processing.Comment: 6 pages, 1 figure. Conference: XVII Simposio Brasileiro de
Telecomunicacoes, 1999, Vila Velha, ES, Brazil. (pp.472-477
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