36,304 research outputs found
Fundamental Radar Properties: Hidden Variables in Spacetime
A derivation of the properties of pulsed radiative imaging systems is
presented with examples drawn from conventional, synthetic aperture, and
interferometric radar. A geometric construction of the space and time
components of a radar observation yields a simple underlying structural
equivalence between many of the properties of radar, including resolution,
range ambiguity, azimuth aliasing, signal strength, speckle, layover, Doppler
shifts, obliquity and slant range resolution, finite antenna size, atmospheric
delays, and beam and pulse limited configurations. The same simple structure is
shown to account for many interferometric properties of radar - height
resolution, image decorrelation, surface velocity detection, and surface
deformation measurement. What emerges is a simple, unified description of the
complex phenomena of radar observations. The formulation comes from fundamental
physical concepts in relativistic field theory, of which the essential elements
are presented. In the terminology of physics, radar properties are projections
of hidden variables - curved worldlines from a broken symmetry in Minkowski
spacetime - onto a time-serial receiver.Comment: 24 pages, 18 figures Accepted JOSA-
Near-Surface Interface Detection for Coal Mining Applications Using Bispectral Features and GPR
The use of ground penetrating radar (GPR) for detecting the presence of near-surface interfaces is a scenario of special interest to the underground coal mining industry. The problem is difficult to solve in practice because the radar echo from the near-surface interface is often dominated by unwanted components such as antenna crosstalk and ringing, ground-bounce effects, clutter, and severe attenuation. These nuisance components are also highly sensitive to subtle variations in ground conditions, rendering the application of standard signal pre-processing techniques such as background subtraction largely ineffective in the unsupervised case. As a solution to this detection problem, we develop a novel pattern recognition-based algorithm which utilizes a neural network to classify features derived from the bispectrum of 1D early time radar data. The binary classifier is used to decide between two key cases, namely whether an interface is within, for example, 5 cm of the surface or not. This go/no-go detection capability is highly valuable for underground coal mining operations, such as longwall mining, where the need to leave a remnant coal section is essential for geological stability. The classifier was trained and tested using real GPR data with ground truth measurements. The real data was acquired from a testbed with coal-clay, coal-shale and shale-clay interfaces, which represents a test mine site. We show that, unlike traditional second order correlation based methods such as matched filtering which can fail even in known conditions, the new method reliably allows the detection of interfaces using GPR to be applied in the near-surface region. In this work, we are not addressing the problem of depth estimation, rather confining ourselves to detecting an interface within a particular depth range
A package for 3-D unstructured grid generation, finite-element flow solution and flow field visualization
A set of computer programs for 3-D unstructured grid generation, fluid flow calculations, and flow field visualization was developed. The grid generation program, called VGRID3D, generates grids over complex configurations using the advancing front method. In this method, the point and element generation is accomplished simultaneously, VPLOT3D is an interactive, menudriven pre- and post-processor graphics program for interpolation and display of unstructured grid data. The flow solver, VFLOW3D, is an Euler equation solver based on an explicit, two-step, Taylor-Galerkin algorithm which uses the Flux Corrected Transport (FCT) concept for a wriggle-free solution. Using these programs, increasingly complex 3-D configurations of interest to aerospace community were gridded including a complete Space Transportation System comprised of the space-shuttle orbitor, the solid-rocket boosters, and the external tank. Flow solutions were obtained on various configurations in subsonic, transonic, and supersonic flow regimes
Generalized Spectral Signatures of Electron Fractionalization in Quasi-One and -Two Dimensional Molybdenum Bronzes and Superconducting Cuprates
We establish the quasi-one-dimensional Li purple bronze as a photoemission
paradigm of Luttinger liquid behavior. We also show that generalized signatures
of electron fractionalization are present in the angle resolved photoemission
spectra for quasi-two-dimensional purple bronzes and certain cuprates. An
important component of our analysis for the quasi-two-dimensional systems is
the proposal of a ``melted holon'' scenario for the k-independent background
that accompanies but does not interact with the peaks that disperse to define
the Fermi surface.Comment: 7 pages, 8 figure
Viscous flows in corner regions: Singularities and hidden eigensolutions
Numerical issues arising in computations of viscous flows in corners formed
by a liquid-fluid free surface and a solid boundary are considered. It is shown
that on the solid a Dirichlet boundary condition, which removes multivaluedness
of velocity in the `moving contact-line problem' and gives rise to a
logarithmic singularity of pressure, requires a certain modification of the
standard finite-element method. This modification appears to be insufficient
above a certain critical value of the corner angle where the numerical solution
becomes mesh-dependent. As shown, this is due to an eigensolution, which exists
for all angles and becomes dominant for the supercritical ones. A method of
incorporating the eigensolution into the numerical method is described that
makes numerical results mesh-independent again. Some implications of the
unavoidable finiteness of the mesh size in practical applications of the finite
element method in the context of the present problem are discussed.Comment: Submitted to the International Journal for Numerical Methods in
Fluid
Prediction of residual stresses in girth welded pipes using an artificial neural network approach
Management of operating nuclear power plants greatly relies on structural integrity assessments for safety critical pressure vessels and piping components. In the present work, residual stress profiles of girth welded austenitic stainless steel pipes are characterised using an artificial neural network approach. The network has been trained using residual stress data acquired from experimental measurements found in literature. The neural network predictions are validated using experimental measurements undertaken using neutron diffraction and the contour method. The approach can be used to predict through-wall distribution of residual stresses over a wide range of pipe geometries and welding parameters thereby finding potential applications in structural integrity assessment of austenitic stainless steel girth welds
A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
The present work is intended for residual oxide scale detection and classification through the application of image processing
techniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a
production line. From a previous detailed study over reflectance of residual oxide defect, we present a comparative study of
algorithms for image segmentation based on thresholding methods. In particular, two computational models based on multi-linear
regression and neural networks will be proposed. A system based on conventional area camera with a special lighting was
installed and fully integrated in an annealing and pickling line for model testing purposes. Finally, model approaches will be
compared and evaluated their performance..Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
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