Karya
Judul/Title Optimized Bisection Image Processing for Wave Identification in Two-Phase Flow on Narrow Gap Rectangular Channel
Penulis/Author NUR RAHMAD YUSUF (1); Prof. Dr. Suprapto, M.I.Kom. (2) ; Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (3); Prof. Dr. Eng. Ir. Deendarlianto, S.T., M.Eng. (4)
Tanggal/Date 2025
Kata Kunci/Keyword
Abstrak/Abstract Accurate wave identification in two-phase flows is critical for assessing cooling processes in narrow rectangular channels, especially in post-accident scenarios such as those at Three Mile Island and Fukushima. This study introduces a novel image processing technique that enhances wave identification through a sequential thresholding and image bisection methods. Unlike conventional methods, this method iteratively adjusts thresholds, optimizing image segmentation for low-quality images in real-time applications. Examination on 3000 jpeg images in the resolution 592 x 192 show that proposed method has significant improvement. The proposed approach achieves significant improvements in wave identification accuracy, with RMSE reductions ranging from 75.45% to 94.50%, enabling more precise measurements of film thickness and wave interface behavior. These advancements support enhanced real-time monitoring for nuclear reactor cooling systems, offering substantial contributions to safety protocols during critical events
Rumpun Ilmu Ilmu Komputer
Bahasa Asli/Original Language English
Level Internasional
Status
Dokumen Karya
No Judul Tipe Dokumen Aksi
1Optimized Bisection Image Processing for Wave Identification in Two-Phase Flow on Narrow Gap Rectang (1).pdf[PAK] Full Dokumen