Reconstruct unrecoverable data in real-time networks using Bezier curve
- Authors
- Nugroho, Dwi Agung; Rizal, Syamsul; Kim, Dong-Seong
- Issue Date
- 26-Mar-2015
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- computational geometry; function approximation; computational complexity; data handling; transmitted unrecoverable data reconstruction; real-time networks; Bezier curve; unrecoverable data handling; damaged data approximation; error correction scheme; real-time distributed system; data retransmission; overall networked system management; functional approximation; smoothing effect normalisation; real-time PROFIBUS transmission; four-point method; two-point-two-degree method; four-degree method; FD method; computation complexity; data size; FP method
- Citation
- IET COMMUNICATIONS, v.9, no.5, pp.596 - 602
- Journal Title
- IET COMMUNICATIONS
- Volume
- 9
- Number
- 5
- Start Page
- 596
- End Page
- 602
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/1334
- DOI
- 10.1049/iet-com.2014.0788
- ISSN
- 1751-8628
- Abstract
- This study proposes a method to handle unrecoverable data using a formula called Bezier curve. The proposed method suggests the possibility to approximate the damaged data, which have been processed by the error correction scheme. The proposed method works on the real-time distributed system which retransmission is considered as unsuitable solution to manage the overall networked system. By using the Bezier curve, the transmitted unrecoverable data are reconstructed again by using the functional approximation. This method provides a smoothing effect on damaged data that usually are normalised on real-time transmission of PROFIBUS. Three differences Bezier curve methods are compared in PROFIBUS data, four-points (FP) method, two-points two-degrees method and four-degrees (FD) method. Simulation results show that all three Bezier curve methods can approximate data in PROFIBUS. FD has higher computation complexity compared with others. However, FD compensates with its data size which is only half of FP method.
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Collections - School of Electronic Engineering > 1. Journal Articles
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