전기전자학회논문지 (Journal of IKEEE)

  • 제28권2호
  • /
  • Pages.187-198
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  • 2024
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  • 1226-7244(pISSN)
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  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
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Cuckoo search optimization algorithm for boundary estimation problems in electrical impedance tomography

  • Minho Jeon (Department of Electronic Engineering, Jeju National University) ;
  • Sravan Kumar Konki (Center for Artificial Intelligence, Korea Institute of Science and Technology) ;
  • Anil Kumar Khambampati (Department of Electronic Engineering, Jeju National University) ;
  • Kyung Youn Kim (Department of Electronic Engineering, Jeju National University)
  • 투고 : 2024.06.13
  • 심사 : 2024.06.22
  • 발행 : 2024.06.30
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초록

Estimating the phase boundary in two-phase flow is crucial for designing and optimizing industrial processes. Electrical impedance tomography (EIT) is a promising technique for imaging phase distribution in such flows. This paper proposes using a cuckoo search (CS) optimization algorithm to estimate the phase boundary with EIT. The boundary is parameterized using the Fourier series, and the coefficients are determined by the CS algorithm. The CS algorithm iteratively seeks the phase boundary configuration by minimizing a cost function. Computer simulations and phantom experiments demonstrate the effectiveness of this method in estimating phase boundaries in two-phase flow.

키워드

과제정보

This research was supported by the 2024 scientific promotion program funded by Jeju National University

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