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Temporal constraints based on an acceleration model between nodes, are continuously updated with respect to the observed traffic behaviour.
The mini radiocarbon dating system (MICADAS) is based on an acceleration unit that uses vacuum to insulate the high-voltage terminal.
More recently, a simple method was proposed to identify behaviors from a decision tree based on an acceleration signal feature [12], [13].
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The α- β- γ filter predicts the position, velocity, and acceleration of a moving target based on a constant acceleration model using three filter gains [8,13].
A simple model to explain the suprathermal electrons based on a Fermi acceleration process is proposed.
In the α- β- γ filter, steady-state bias error occurs when tracking a target moving with constant jerk, because the filter is based on a constant acceleration model.
Firstly, the refined definition of the cross term between background and resonant component is explained based on a mode-acceleration method, and covariance matrices of coupled elastic restoring force and resonant elastic restoring force are proposed.
The proposed speed can be adjusted using one of the buttons on the mouse to modify the target speed based on a predefined longitudinal acceleration and deceleration curve.
In this paper, we provide a procedure, based on a new implementable acceleration technique, for computing the transitive closure of a tree transducer.
The simplest method of modeling such tilt motion in the acceleration signals is based on a step increase in acceleration approximated by a Heaviside step function (Zahradnik and Plesinger, 2005; Pillet and Virieux, 2007).
Based on the estimated acceleration an acceleration feedback control (AFC) is presented for multiple degree-of-freedom (DOF) mechatronic system.
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