The Swift parallel scripting language allows for the specification, execution and analysis of large-scale computations in parallel and distributed environments. It incorporates a data model for recording and querying ...
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Large-scale scientific computations are often organized as a composition of many computational tasks linked through data flow. After the completion of a computational scientific experiment, a scientist has to analyze ...
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A method for computationally visualizing and interpreting a text or corpus of texts in a taxonomy of the field is described. The method involves such stages as matching taxonomy topics and text(s) by using annotated s...
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A method for computationally visualizing and interpreting a text or corpus of texts in a taxonomy of the field is described. The method involves such stages as matching taxonomy topics and text(s) by using annotated suffix trees (ASTs), combining multiple information such as text abstracts, key-words and taxonomy cross-references, building clusters of taxonomy topics and their profiles, and lifting the profiles to higher ranks of the taxonomy hierarchy.
This paper presents a set of computationally efficient, adaptive grids for magnetic reconnection phenomenon where the current density can develop large gradients in the reconnection region. Four-field extended Magneto...
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Recent experiments by Burton and Taborek have demonstrated a droplet-to-bubble transition in the pinchoff behavior of one inviscid fluid inside another. With D the relative densities ρE/ρℑ, they find transition from...
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Recent experiments by Burton and Taborek have demonstrated a droplet-to-bubble transition in the pinchoff behavior of one inviscid fluid inside another. With D the relative densities ρE/ρℑ, they find transition from (D=0) droplet-to-bubble behavior at D≈4. Numerical simulations of this two-fluid system, up to and beyond the initial breakup of the inner fluid, have been carried out utilizing level set and boundary integral methods. A droplet-to-bubble transition is predicted: For D sufficiently large, the volume of the satellite droplet shrinks to zero and there is no overturning of the fluid at separation. The calculated self-similar scaling exponents and the pinchoff region shapes match the known behavior at the droplet and bubble extremes (D=0, D=100). For intermediate D values, the simulations presented here indicate that the transition range between droplet and bubble behavior depends upon initial drop geometry. When the neck separates two nonequal inner fluid masses the transition is mild and occurs in the range 4
Diesel particulate matter(DPM) emissions have a significant impact on global climate change by strong absorption of solar radiation in the atmosphere,and on health by penetrating through the human respiratory ***,DPM ...
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Diesel particulate matter(DPM) emissions have a significant impact on global climate change by strong absorption of solar radiation in the atmosphere,and on health by penetrating through the human respiratory ***,DPM emissions are limited with tightening emission limits,which have led to generalization of diesel particulate filters(DPF).The exhaust is thus forced through porous ceramic channels walls,wherein the particulates are *** avoid increasing fuel consumption and clogging,the DPF must be periodically regenerated by increasing temperature,typically when a soot load of several grams per liter is *** the recent years,efforts to link the chemical,physical and structural properties with the reactivity have been done in order to improve DPF *** is often used to visualize the soot nanostructure but image analysis method to correlate the soot reactivity with the soot nanostructure is always under development.
An attempt is made to bring some structure in the meanings of the title subjects based on the perspectives at which they view the data. A rigid framework for Data Analysis is proposed pointing out its role in augmenti...
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An attempt is made to bring some structure in the meanings of the title subjects based on the perspectives at which they view the data. A rigid framework for Data Analysis is proposed pointing out its role in augmenting the knowledge of a phenomenon the data relate to. In particular, the task of summarization as a general problem is discussed. The ingredients of a data analysis problem are described as a base for positioning of various approaches in data analysis and mathematical statistics.
We consider the problem of reconstructing a maximally parsimonious history of network evolution under models that support gene duplication and loss and independent interaction gain and loss. We introduce a combinatori...
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The idea of a Kripke semantics endowed with possibility/plausibility information is not new;in fact there are different approaches for that;see: [6], [13], [16], [19]. This paper follows the approach found in [6], but...
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Supposing a structure made of grains randomly distributed and that a Boolean random model can be used to model his *** these assumptions,critical percolation thresholds can be estimated by conjecture from the zeros of...
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Supposing a structure made of grains randomly distributed and that a Boolean random model can be used to model his *** these assumptions,critical percolation thresholds can be estimated by conjecture from the zeros of the connectivity number from *** formula uses estimates of the mean volume, surface and integral curvature of the *** additional assumptions,these estimates can be obtained on segmented volumes designing the structure using Steiner formula by measuring the probability of compact sets with increasing size to belong to the *** the grains of the structure can be individually segmented,for instance by a watershed method,estimates can be measured directly on the discretized ***, assuming the structure can be fit by a Boolean scheme with specific model of primary grains;estimates can be calculated directly with analytical *** propose to use this approach to predict critical percolation threshold of Fontainebleau *** materials provide good experimental systems and are largely used in the literature as model in the understanding of fluid or gas diffusion in porous rocks.3D segmented computed micro tomography images with different volume fraction of pores will be used.A Boolean random model with Poisson polyhedra as primary grains will be used to fit the *** predictions will be compared to physical properties like mercury saturation.
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