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2014 9th International Conference on Computer Engineering & Systems (ICCES)最新文献

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Towards a state synchronization methodology for recovery process after partial reconfiguration of fault tolerant systems 容错系统部分重构后恢复过程的状态同步方法研究
Pub Date : 2014-12-01 DOI: 10.1109/ICCES.2014.7030963
Karel Szurman, Lukas Miculka, Z. Kotásek
Modern fault tolerant systems implemented into FPGAs integrate very often hardware redundancy together with fault tolerant approaches based on active fault recovery and the system reconfiguration. Space and safety-critical applications are examples of systems where the principles of fault tolerance and recovery techniques have increasing importance. Except of fault-masking behavior and FPGA partial reconfiguration, also the synchronization of reconfigured circuit copy with remaining circuits which are during the recovery process still operating, is an integral part of the recovery process in these systems. The synchronization process is closely related to the system architecture, specific requirements and functionality. Our aim is to propose specific methodology to design and implement the most suitable synchronization procedure for the recovery of target fault tolerant system. In this paper, basic principles of our synchronization methodology are described together with generic architecture for synchronization in fault tolerant systems, which was designed for reconfigurable fault tolerant CAN bus control system. This system and performed experiments are in the paper described as well.
在fpga中实现的现代容错系统通常集成了硬件冗余以及基于主动故障恢复和系统重构的容错方法。空间和安全关键型应用程序是容错原则和恢复技术日益重要的系统示例。在这些系统中,除了故障屏蔽行为和FPGA部分重构之外,重构电路副本与在恢复过程中仍在运行的剩余电路的同步也是恢复过程中不可或缺的一部分。同步过程与系统架构、特定需求和功能密切相关。我们的目的是提出具体的方法来设计和实现最适合目标容错系统恢复的同步过程。本文介绍了同步方法的基本原理,并给出了容错系统同步的通用体系结构,该体系结构是为可重构容错CAN总线控制系统设计的。本文还介绍了该系统及所做的实验。
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引用次数: 4
A binarization algorithm for historical arabic manuscript images using a neutrosophic approach 使用嗜中性方法的阿拉伯历史手稿图像二值化算法
Pub Date : 2014-08-05 DOI: 10.5281/ZENODO.22997
K. Amin, Mohamed Abd Elfattah, A. Hassanien, G. Schaefer
In this paper, an improved thresholding approach based on neutrosophic sets (NSs) and adaptive thresholding is proposed. This is applied to degraded historical documents imaging and its performance evaluated. The input RGB image is transformed into the NS domain, which is described using three subsets, namely the percentage of truth in a subset, the percentage of indeterminacy in a subset, and the percentage of falsity in a subset. The entropy in NS is employed to evaluate the indeterminacy with a λ-mean operation used to minimize indeterminacy. Finally, the historical document image is binarized using an adaptive thresholding technique. Experimental results demonstrate that the proposed approach is able to select appropriate image thresholds automatically and effectively, while it is shown to be less sensitive to noise and to perform better compared with other binarization algorithms.
本文提出了一种基于嗜中性集(NSs)和自适应阈值的改进阈值方法。该方法应用于退化的历史文档成像,并对其性能进行了评估。将输入的RGB图像转换为NS域,该域使用三个子集来描述,即子集中的真百分比,子集中的不确定百分比和子集中的假百分比。利用NS中的熵来评估不确定性,并采用λ均值运算来最小化不确定性。最后,使用自适应阈值技术对历史文档图像进行二值化。实验结果表明,该方法能够自动有效地选择合适的图像阈值,并且对噪声的敏感性较低,与其他二值化算法相比具有更好的性能。
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引用次数: 11
期刊
2014 9th International Conference on Computer Engineering & Systems (ICCES)
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