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The identification of moves and steps was an iterative procedure involving carefully reading the SoP samples and making constant negotiations between the coding scheme and text segments to determine the communicative purposes of functional units.
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The study on identification of moving loads has made a big progress over the past years.
In this paper, a method for the identification of moving vehicle parameters using bridge acceleration responses is investigated.
Identification of moving loads on bridges is an important inverse problem in the civil and structural engineering field.
This paper addresses the problem on the identification of moving vehicle axle loads based on measured bridge responses using a frequency time domain method.
He also conducted laboratory experiments for the identification of moving mass from measured strain [9].
Literatures available on the identification of moving load parameters on bridges using particle filter technique are scanty.
Thus, the identification of moving objects from a video sequence plays an important role in the performance of vision systems [2].
Therefore, after canceling the stationary clutter, the identification of moving targets can be implemented with SFrFT in the following steps: Step 1. Apply one SFrFT to the data in which the clutter has been canceled with different α, and from the maximal peak get the numerical estimation of.
There were a few major challenges which we have handled in this research including accurate identification of moving regions while ignoring all those regions which show minor changes due to light and intensity variations and the areas of high and low brightness.
To our knowledge, our research is one of the first studies in which the identification of rhetorical moves in authentic empirical research articles by novice readers has been examined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com