We present a self-organised approach for the synthesis of one-dimensional (1d) arrays of supported nanoclusters. By oxidising NiAl surfaces vicinal to the (100) plane tilted along the crystallographic direction [010],...
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We present a self-organised approach for the synthesis of one-dimensional (1d) arrays of supported nanoclusters. By oxidising NiAl surfaces vicinal to the (100) plane tilted along the crystallographic direction [010], we produced ordered thin films of theta-Al2O3 that exhibit uniform protrusion stripes propagating uniquely along direction [001] of the NiAl. These protrusions are preferential centres for nucleation of metal deposited from a vapour;the nanoclusters grown from such metal are aligned and form massive 1d cluster arrays along direction [001]. The arrays of Co nanoclusters exhibit a diameter as small as 3 nm and length exceeding a micrometer. The results imply prospective applications for which a patterned assembly of nanoclusters is desired. (C) 2008 Elsevier B.V. All rights reserved.
A fast block matching algorithm using integral projections for the estimation of motion vectors is proposed. In the calculation of the cost function, the proposed algorithm using integral projections as features can r...
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A fast block matching algorithm using integral projections for the estimation of motion vectors is proposed. In the calculation of the cost function, the proposed algorithm using integral projections as features can reduce the motion estimation computations by a factor of 3 by converting the operations of two-dimensional arrays into those of one-dimensional arrays. Also, the proposed method is not sensitive to additive noise. Simulation results based on the sequence of original image and the sequences of noisy image with different standarddeviation are presented.
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