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In recent years, supply chain enterprises' performance has becoming the common concern of scholars. Supply chain enterprises' performance includes not only internal performance, but external performance. Under this background, this paper first chooses suitable economic indexes, then, establishes an index system of the external performance evaluation of supply chain enterprises; next, builds an external...
This paper uses Principal Component Analysis to analyze the financial performance of high-tech listed companies in 2009. The result reveals that the financial performance of high-tech listed companies is not very well; relatively the profit ability is better and the growth ability is worse; the growth ability can improve the financial performance very clearly, but the operation ability not very well,...
Today's mobile devices have inherited many of the characteristics of desktop computing -- including the assumptions that the user's full attention and dexterity can be focused on the interface. Unfortunately, on-the-go users are impaired by their mobility and often find desktop-style Windows Icon Menu and Pointer (WIMP) interfaces difficult, if not impossible, to use while performing their primary...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
This paper presents the probabilistic logic model to compute the probability distribution of the nano gate states. The characterization is based on the Markov random field and statistic physics. The primary logic gates are probabilistically characterized. The effectiveness of the method is demonstrated by a full adder and an 8-bit adder. The analysis shows that the device probability distribution...
This paper describes a new method to extract most of the noise points by combining the ellipsoid criterion with the Fuzzy C-Means clustering algorithm. The point cloud data are unorganized and without any normal or orientation information. Firstly, we determine if one point is the noise or not by the ellipsoid criterion. After acquiring new point sets being less noisy, we delete large-scale noise...
This is an introduction to the proceedings of the MWS 2007 workshop held at EDOC 2007. It first explains the motivation for and background of the workshop. Then, it contains a short description of the keynote, each long and short peer-reviewed paper, and the discussion session "impact of various execution environments on middleware for web services". After the closing statements, MWS 2007...
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