A new approach for designing an ultra wideband (UWB) CMOS low noise amplifier (LNA) is presented. The aim of this design is to achieve a low noise figure, reasonable power gain and low power consumption in 3.1-10.6 GHz. Also, the figure of merit (FOM) is significantly improved at 180nm technology compared to the other state-of-the-art designs. Improved π-network and T-network are used to obt...

  This paper deals with the cellular manufacturing system (CMS) that is based on group technology concepts. CMS is defined as identifying the similar parts that are processed on the same machines and then grouping them as a cell. The most proposed models for solving CMS are focused on cell formation problem while machine layout is considered in few papers. This paper addresses a mathematical mo...

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Spectral methods are naturally suited for dynamic graph layout, because moderate changes of a graph yield moderate changes of the layout under weak assumptions. We discuss some general principles for dynamic graph layout and derive a dynamic spectral layout approach for the animation of small-world models.

| A new approach for the minimum area oorplanning is proposed where the shape of every module can vary under the constraint of area and oorplan topology. Simulating the air-pressure mechanics, the algorithms iterate to improve the layout to decide the shapes and positions of modules. It is proved that the layout approaches the optimal layout each step by the measure of energy which is de ned by...

The paper describes on-going work on a system that transforms page-oriented document images into “reflowable document images”, representations of the page image in HTML format that allows it to adapt to display devices of different sizes while preserving the original appearance of the image as much as possible and avoiding OCR errors. The approach to document layout analysis used by the system ...

In this paper we propose an approach for Document Layout Analysis based on local correlation features. We identify and extract illustrations in digitized documents by learning the discriminative patterns of textual and pictorial regions. The proposal has been demonstrated to be effective on historical datasets and to outperform the state-of-the-art in presence of challenging documents with a la...