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author:

Huang, Hongbin (Huang, Hongbin.) [1] | Lin, Hongxing (Lin, Hongxing.) [2] | Xu, Saijuan (Xu, Saijuan.) [3] | Chen, Zhen (Chen, Zhen.) [4]

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EI

Abstract:

Flow-channel-intersection optimization is one of the important goals in physical design, which affects the design complexity of the flow layer and the control layer. To this end, an effective high-level synthesis based on particle swarm optimization is proposed for continuous-flow microfluidic biochips in this paper. This method considers both the completion time of the bioassay and the number of flow-channel intersections in the high-level synthesis for the first time. The proposed method estimates the completion time of the bioassay and the number of flow-channel intersections by list scheduling and the connection relationship between components. Through effective iterative updating, a high-quality high-level synthesis considering flow-channel-intersection optimization is obtained. © 2021 IEEE.

Keyword:

Biochips Channel flow Fluidic devices High level synthesis Iterative methods Microfluidics Particle swarm optimization (PSO)

Community:

  • [ 1 ] [Huang, Hongbin]Fuzhou University, College Of Mathematics And Computer Science, Fuzhou, China
  • [ 2 ] [Lin, Hongxing]Fuzhou University, College Of Mathematics And Computer Science, Fuzhou, China
  • [ 3 ] [Xu, Saijuan]Fujian Business University, Department Of Information Engineering, Fuzhou, China
  • [ 4 ] [Chen, Zhen]Fuzhou University, College Of Mathematics And Computer Science, Fuzhou, China

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Year: 2021

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 3

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