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Several studies during the last few years have demonstrated the antibacterial potential of photodynamic therapy (PDT). The overall objective of ongoing studies in our laboratory is to assess the efficiency of antibacterial PDT on various oral pathogenic bacteria, as well as to determine the side-effects of PDT upon tooth structure. The aim of the present study was to evaluate the antibacterial effect...
Technological innovation is a complex system. There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability,...
This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results from the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms on a common database. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in...
VoIP has been widely investigated to provide statistical quality of service (QoS) guarantees. We address the issue of how to select an efficient route to carry real-time traffic. Each eligible route is assigned a weight, which is updated according to network level QoS evaluation. When a new coming call arrives, originating signaling server first chooses two candidate routes from all practicable routes...
Image binarization is an important preceding task in image processing and analysis. But the effect of common methods such as Ostu and Bernen are not well when the image's luminance isn't equal or the contrast is deficient etc. So, a binarization method based on spatial distributing and improved maximum variance is used in this paper. This method combined the characteristic of image's spatial distributing...
The purpose of this paper is to develop novel Blind Source Extraction (BSE) algorithms from linear mixtures of the statistically dependent source signals. we show that maximization of the non Gaussianity (NG) measure can not only separate the statistically independent but also dependent source signals. The NG measure is defined by statistical distances between distributions based on the cumulative...
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