نتایج جستجو برای: geometric deviation model
تعداد نتایج: 2227213 فیلتر نتایج به سال:
Abstract This article proposes two approaches for a tailored geometrical deviation compensation Laser-Powder-Bed-Fusion production. The is performed by non-rigid deformation of the manufacturing geometry in each iteration to reduce deviations from target geometry. It important geometric separate deterministic random scatter, since compensating scatter can result unstable behaviour. In order com...
To capture the inherent geometric features of many community detection problems, we propose to use a new random graph model of communities that we call a Geometric Block Model. The geometric block model generalizes the random geometric graphs in the same way that the well-studied stochastic block model generalizes the Erdös-Renyi random graphs. It is also a natural extension of random community...
Model based object recognition systems have rarely dealt directly with D perspective while matching models to images The algorithms presented here use D pose recovery during matching to explicitly and quantitatively account for changes in model appearance associated with D per spective These algorithms use random start local search to nd with high probability the globally optimal correspondence...
On basis of modification of Einstein’s gravitational equations by adding the term f(R) ∝ βR , a geometric model of quintessence is proposed. The evolution equation for the scale factor a of the Universe is analyzed for the two parameters n = 2 and n = 4/3, which were preferred by previous studies of the early Universe. Another choice of parameters n and β is proposed from the following reasons:...
Fluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have dispersed values. One of the most powerful methods for simulation of stochastic nature of geometri...
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