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The algorithm is conducted in three main stages.
Based on the term association network, the algorithm is conducted to obtain hot topics by selecting the top-K terms as focal terms with related facet terms.
Verification of the algorithm is conducted on a motion control platform that shares the general characteristics in several advanced manufacturing systems.
Due to the static channel assignment and the fixed location of the nodes in the network, the first part of the algorithm is conducted using a centralized method, while a distributed cross layer method is applied for the second part.
The algorithm is conducted on some real datasets and compared with some other algorithms to investigate efficiency and validity of the proposed method.
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The Voronoi region construction and the codeword computation, the two main tasks in the algorithm, are conducted as follows: V g i j = g ( z 1 M ) : ∥ g ( z 1 M ) − ĝ i j ∥ 2 ≤ ∥ g ( z 1 M ) − ĝ i k ∥ 2, ∀ k ≠ j (2) ĝ ∗ i j = arg min ĝ i j E ∥ g ( z 1 M ) − ĝ i j ∥ 2 | g ( z 1 M ) ∈ V g i j, j = 1, …, L i.
Searches for appropriate codes to implement the algorithm were conducted in all available data for each individual.
Finally, simulations of the algorithms were conducted to validate our outcomes.
The precedence of the proposed algorithm is conducted based on the confidence level that is decided by the complexity of pixel values in a block.
Finally, the comparison of the two algorithm is conducted.
Since the proposed algorithm is conducted in the generalized Lloyd design framework, it would suffer from numerous poor local optima.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com