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The strong focusing and field enhancement effects of a metal nanofinger surrounded by multiple concentric rings are investigated through both COMSOL Multiphysics and finite-difference time-domain (FDTD) simulations. The aspect ratio of the nanofinger is the main parameter determining the full width at half maximum (FWHM) and the strong local field enhancement. The optimal values of the aspect ratio...
Machine learning methods are the main stream algorithms applied in short term load forecasting. However, typical machine learning methods consisting of Artificial Neural Network (ANN) and Support Vector Regression (SVR) have deficiencies hard to overcome, such as easy to be trapped in local optimization (for ANN) or hard to decide kernel parameter and penalty parameter (for SVR). On the other hand,...
We present a multi-feature based object extraction algorithm in this paper. Cutting in from the angle of multi-feature, this algorithm combines the high-efficient and good performance Graph Cut framework. We add foreground shape information and motion estimation as a compensation of the instability of using single color information.
This paper addresses the problem of natural image segmentation. We develop the interactive image segmentation system and construct two-scale graphs, including region-based graph and pixel-level graph. Building region-level graph is to partition the image into several constituent components. Graph cut is used to extract the foreground object from the image. New data cost functions are defined in the...
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