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Directed-self-assembly (DSA) technology is a promising candidate for cut printing in sub-10nm 1-D gridded designs, where cuts might need to be redistributed such that they could be patterned by DSA guiding templates. In this paper, we first propose a linear-time optimal dynamic-programming-based algorithm for a special case of the template guided cut redistribution problem, where there is at most...
Two-dimensional directed self-assembly (2D-DSA), a promising nanotechnology, manipulates the orientation of double posts to guide block copolymers to fabricate 2D patterns in nanoscale. In this paper, we present the first detailed placement algorithm for 2D-DSA. We first propose an orientation-number model for nets to estimate post orientations. Then, a cost model based on the orientation numbers...
Many real-world optimization problems encounter the presence of uncertainties. Dynamic optimization is a class of problems whose fitness functions vary through time. For these problems, evolutionary algorithm is expected to adapt to the changing environments immediately and find the best solution accurately. Besides, most of the environmental changes may not be too drastic in real-world applications,...
Directed self-assembly (DSA) technology is a promising candidate for cut printing in sub-10nm 1-D gridded designs, where cuts might need to be redistributed such that they could be patterned by DSA guiding templates. In this paper, we first propose a linear-time optimal dynamic-programming-based algorithm for a special case of the template guided cut redistribution problem, where there is at most...
The paper is to explore product operation of grade upper approximation operators. Based on logical product operation, it proposes product model of grade upper approximation operators based on two parameters. Essence, basic structure and properties are obtained in the new model. Macroscopic algorithm and structural algorithm are proposed and analyzed, and it obtains an important conclusion that structural...
The pulse waveform characteristic point detection is important for non-invasively detecting cardiovascular parameters. A novel designed algorithm based on wavelet transform (WT) is developed. For some pulse waveforms, characteristic points exactly correspond to the zero-crossing of a wavelet with one vanishing moment, while the others incompletely correspond to. And characteristic points also correspond...
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