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A methodology to analyze device-to-circuit characteristics and predict memory array performance is presented. With a five- parameter characterization of the selection device and a compact model of RRAM, we are able to capture the behaviors of reported selection devices and simulate 1S1R cell/array performance with RRAM compact modeling using HSPICE. To predict the performance of the memory array for...
In order to extract cloud cover feature from ISCCP D2 dataset, a method of feature extraction using wavelet and statistics was used. This method concerned the characteristic of the cloud cover and the applications requirement, and combined the autocorrelation function, partial autocorrelation function with the wavelet method. We can get the conclusion from the features: (1) the features from wavelet...
Analysis of protein-protein recognition is a popular issue recently, which plays a crucial role in regulation of biochemical pathways and signaling transmittal. A protein is recognized with the other protein by combining a transient complex, otherwise which will become a permanent complex. Therefore, understanding physico-chemical properties of the protein interface can offer important clues for biological...
Automatic image annotation is a promising methodology for image retrieval. However most current annotation models are not yet sophisticated enough to produce high quality annotations. Given an image, some irrelevant keywords to image contents are produced, which are a primary obstacle to getting high-quality image retrieval. In this paper an approach is proposed to improve automatic image annotation...
The problem of 3D shape matching is typically restricted to static objects to classify similarity for shape retrieval. In this paper we consider 3D shape matching in temporal sequences where the goal is instead to find similar shapes for a single time-varying object, here the human body. Local- feature distribution descriptors are adopted to provide a rich object description that is invariant to changes...
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