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In this context, determination of the joint efforts for a given motion is a required step for the subsequent evaluation of cost function and constraints, but force plates will not exist.
We show how to achieve large-amplitude oscillation and good phase noise characteristics in a nonlinear NEMS oscillator by using a softening nonlinearity to locally balance the hardening behaviour of the Duffing nonlinearity for a given motion amplitude.
For a given motion clip, key motion states are extracted, which represent its most salient properties.
In a real human scan, MR k-space data used for motion estimation for a given motion phase are acquired only when the motion phase is reached.
This raises a simple question: for a given motion signal, whether it is possible to incorporate the direct acquisition and compression into a single sensing process by certain physical coder.
For the MC study, the attenuation map for a given motion phase was obtained by transforming the reference attenuation map to the motion phase using the corresponding motion fields measured by MRI.
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Formally, the definition above can be expressed in a cumbersome but general way as follows: For all contexts j in which a given motion primitive is observed and any neuron n, we can compute the mean distance μ j, n between n and input vectors sampled from some j as well as the associated standard deviation σ j, n.
Displacement of each node of the mesh, for any given motion of the rigid bodies, is obtained by interpolation from a set of deformed meshes corresponding to certain prescribed locations of the rigid bodies.
Using the known procedure of Green and Rivlin, we consider a new motion which differs from the given motion only by superposed rigid motion defined by a rotation of uniform rigid body angular velocity; and suppose that for the given motion, all characteristics of the body are unaltered by such superposed rigid motion.
This algorithm first calculates the successive actuator torques of the links, which are required for the given motion during each interpolation period.
It indicates how well motion correction results from disjoint sets agree on the 3D shape of the volume for given motion correction algorithm parameters.
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for a given displacement
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for a given tree
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com