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In order to reduce implementation complexity and achieve computation efficiency, design issues for efficient and secure password based remote user authentication scheme have been extensively investigated by research community in these two decades.
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A mesoscale description is employed for representing the heterogeneous behaviour of masonry units, mortar joints and brick-mortar interfaces, whereas a domain partitioning approach allowing for parallel computation is used to achieve computational efficiency.
However, manual code optimization is usually required to achieve high computation efficiency.
Therefore, the present HMTS/CO-DAC method can enable high-order model reduction and achieve higher computation efficiency for multi-dimensional numerical modeling.
Inspired by the structure from motion systems, we propose a system that reconstructs sparse feature points to a 3D point cloud using a mono video sequence so as to achieve higher computation efficiency.
The achieved computation speed allows for real time CWT application.
This paper proposes a model to achieve relatively high computation efficiency, as well as accuracy.
Powered by parallel computing technology, this parallel DIC (paDIC) method, combining an inverse compositional Gauss Newton (IC-GN) algorithm for sub-pixel registration with a fast Fourier transform-based cross correlation (FFT-CC) algorithm for integer-pixel initial guess estimation, achieves a superior computation efficiency over the DIC method purely running on CPU.
Theoretical analysis and experimental results show that our framework achieves optimal communication and computation efficiency compared to other protocols.
The method is also integrated with the dynamic multi-timescale method and a further increase of computation efficiency is achieved.
It is shown that considerable computation efficiency is achieved in terms of CPU time without losing accuracy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com