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scattering kernel

Scattering kernel for polyatomic molecules

Scattering kernel for polyatomic molecules

... polyatomic scattering kernel phenomenologically presented in a previous article is derived from an integral operator ...the scattering kernel expression are shown to be equal to the ...

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Anisotropic scattering kernel : generalized and modified Maxwell boundary conditions

Anisotropic scattering kernel : generalized and modified Maxwell boundary conditions

... Maxwellian-type kernel: for a given monochromatic beam this model predicts a sharp maximum in the number of molecules at the angle corresponding to specular reflection, which is contradicted by experiments [25]; ...

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Temperature jump and slip velocity calculations from an anisotropic scattering kernel

Temperature jump and slip velocity calculations from an anisotropic scattering kernel

... This article deals with the problem of temperature jump and slip velocity at the wall in gas/surface interaction. A consistent modelling of an impermeable surface involving an anisotropic scattering kernel ...

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Conditions aux limites dans un gaz raréfié: loi de réflexion à la paroi, saut de température, vitesse de glissement, couche de Knudsen Boundary conditions in rarefied gas flows: scattering kernal, temperature jump, slip velocity, Knudsen layer problem

Conditions aux limites dans un gaz raréfié: loi de réflexion à la paroi, saut de température, vitesse de glissement, couche de Knudsen Boundary conditions in rarefied gas flows: scattering kernal, temperature jump, slip velocity, Knudsen layer problem

... new kernel operator is no longer invariant under rotation about the normal axis at the solid surface; moreover, in the new model the parameters are shown to be the accommodation coefficients themselves so it is ...

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Lattice Boltzmann simulation of rarefied gas flows in microchannels

Lattice Boltzmann simulation of rarefied gas flows in microchannels

... applied kernel is the dif- fusive scattering model which can be interpreted as that the gas molecules lose all information of their state before collisions and are reflected obeying the Maxwellian distri- ...

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Quasi-Compact Perturbations of the Weyl Essential Spectrum and Application to Singular Transport Operators

Quasi-Compact Perturbations of the Weyl Essential Spectrum and Application to Singular Transport Operators

... having the position x and the velocity ξ. The functions σ(.) and κ(., .) are called, respectively, the collision frequency and the scattering kernel and will be assumed to be unbounded. More precisely, we ...

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Theory of the Scattering Phase Matrix Determination for Atmospheric Aerosols

Theory of the Scattering Phase Matrix Determination for Atmospheric Aerosols

... Aerosols are small solid or liquid particles of range of sub-microns to several microns, suspended in the atmosphere. Basically there are two types of Aerosols, Primary and Secondary. The Primary are directly emitted as ...

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Empirical Optimal Kernel for Convex Multiple Kernel Learning

Empirical Optimal Kernel for Convex Multiple Kernel Learning

... the kernel weights are the hyperparameters of the classifier and are tuned based on the model selection criteria ...Optimal Kernel to find the optimal weights in the first ...

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Syllables and Other String Kernel extensions

Syllables and Other String Kernel extensions

... string kernel to representations of documents based on ...string kernel variants, which out- performed the TFIDF bag of words ...string kernel which allow prior knowledge to be captured and ...string ...

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A prediction distribution of atmospheric pollutants using support vector machines, discriminant analysis and mapping tools (Case study: Tunisia)

A prediction distribution of atmospheric pollutants using support vector machines, discriminant analysis and mapping tools (Case study: Tunisia)

... declares that the SVM can be used for the regression and time series prediction and that it is capable of good generalization while the performance of the model is often hinged on the appropriate choice of the ...

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Anisotropy in the hole mobility measured along the [110] and [110] orientations in a strained Ge quantum well

Anisotropy in the hole mobility measured along the [110] and [110] orientations in a strained Ge quantum well

... electronic applications because of its abundance and low cost, and in order to keep advancing this technology platform, inno- vative solutions such as the incorporation of other materials have been sought. To improve the ...

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The calculation of discriminating kernel based on viability kernel and reachability

The calculation of discriminating kernel based on viability kernel and reachability

... Now, we have the figures of the process of computing the discriminating kernel. Figure  shows that S is the boundary and interior of the circle. In Figure , S is the intersection of the three circles. S is the ...

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X-Rays and Scattering from Filters Used in Diagnostic Radiology

X-Rays and Scattering from Filters Used in Diagnostic Radiology

... Compton scattering occurs when the incident X-ray photon is deflected from its original path by an interaction with an ...incoherent scattering because the photon energy change is not always orderly and ...

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Analyzing and Improving Linux Kernel Memory Protection: A Model Checking Approach.

Analyzing and Improving Linux Kernel Memory Protection: A Model Checking Approach.

... LKMs The second source of violating W ⊕ X is located in the support of LKMs. In particular, since all vmalloc() allocations default to “data” access mode (RW + N X ), the only source of mixed pages in this area is LKMs ...

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Contracting the Wigner kernel of a spin to the Wigner kernel of a particle

Contracting the Wigner kernel of a spin to the Wigner kernel of a particle

... Still, the operator P ˆ s does not have an obvious interpretation but a new strategy to render plausible its form emerges. Con- sider a plane tangent to the sphere at its north pole. For increasing radius, the sphere is ...

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Some Improvement on Convergence Rates of Kernel Density Estimator

Some Improvement on Convergence Rates of Kernel Density Estimator

... Many of above mentioned bias reduction methods result in complex kernel density estimators. In this paper, we introduce a novel but intuitive and feasible bias reduced kernel density estimator. In Section ...

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A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

... composite kernel for relation ...the kernel methods, the composite kernel could well explore and combine the flat entity features and the structured syntactic fea- tures, and therefore outperforms ...

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Comparison Of Various Kernels Of Support Vector Machine

Comparison Of Various Kernels Of Support Vector Machine

... problem kernel function is used. The central idea of kernel function is to project points up in a higher dimensional space hoping that separability of data would ...linear kernel, polynomial ...

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A Survey On Face  Recognition Systems- Methods And Analysis

A Survey On Face Recognition Systems- Methods And Analysis

... method, kernel linear regression classification (KLRC), based on LRC and the kernel ...high-dimensional kernel space by using the nonlinear mapping Determined by a kernel ...typical ...

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Genetic characterization, character association for yield and yield component traits in groundnut (Arachis hypogaea L)

Genetic characterization, character association for yield and yield component traits in groundnut (Arachis hypogaea L)

... In the present study the analysis of variance revealed highly significant differences for all nine characters among the genotypes, indicating existence of sufficient variation in the material studied (Table1). The ...

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