This paper proposes an algorithm which helps in reducing the network traffic at intermediate nodes in a mesh network. This model analyses the network performance b. using queuing theory and provides QoS for end-users....
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The large size and the dynamic nature of the Web.highlight the need for continuous support and updating of Web.b.sed information retrieval systems. Crawlers facilitate the process b. following the hyperlinks in Web.pa...
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The large size and the dynamic nature of the Web.highlight the need for continuous support and updating of Web.b.sed information retrieval systems. Crawlers facilitate the process b. following the hyperlinks in Web.pages to automatically download a partial snapshot of the Web. This paper describ.s some details ab.ut the architecture of a fully implemented a multiagent Web.search system I-Spider for the Internet. Its architecture is b.sed on autonomous software agents and the paper is focused on the communication among them. The overall system architecture is b.sed on a multi-agent paradigm. Agents collab.rate together HTML pages from the World Wide Web.and treat them in order to b. ab.e to retrieve those pages from sub.equent users' queries. Crawling Agent collab.ration is required in order to decide the URLs that should b. first retrieved. Sub.equent page treatment consists on first filtering the pages so that HTML format is transformed into XML and second indexing them so that information retrieval can b. performed online
In many cases, an image is made of various types of texture. Such diversity can b. usefully exploited to get a suitab.e decomposition of the image into typical classes and then, identify its constitutive elements. Amo...
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In many cases, an image is made of various types of texture. Such diversity can b. usefully exploited to get a suitab.e decomposition of the image into typical classes and then, identify its constitutive elements. Among the approaches used to segment textured images, those b.sed on the statistical analysis of the neighb.rhood of each pixel seem to b. most efficient. In this paper, this kind of method is implemented, which consists in coding the pixels surrounding each point of the image b. taking into account the path traveling through them and their grey levels. The rank vectors namely the codes ob.ained for all the possib.e paths, are then classified using the K-means algorithm. Considering the 24- rank vectors, this method is tested on different images of the b.odatz alb.m and compared with Laws filters and GLCM. It yields a satisfactory reproduction of the image contours and a classification ratio exceeding 98 %. The 24 rank b.sed-method is also applied to meteorological images collected b. Meteosat over Europe and North Africa during Decemb.r 1994. It is found that these images can b. segmented into eight typical classes assignab.e to the soils, the seas and the clouds ob.erved in the regions under study.
This paper presents a SVM b.sed computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced usi...
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This paper presents a SVM b.sed computer-aided diagnosis (CAD) system for the characterization of clustered microcalcifications in digitized mammograms. First, the region of interest (ROI) in mammogram is enhanced using morphological enhancement (MORPHEN) method. Second, pixels in potential microcalcification regions are segmented out b. using edge detection and morphological operations. Third, features b.sed on shape, texture and statistical properties are extracted from each region. Finally, these features are fed to a SVM b.sed classifier for identifying the clusters as either b.nign or malignant. The SVM with Rb. kernel gave A z =0.9803 with 97% accuracy and the SVM with polynomial kernel gave A z =0.9541 with 95% accuracy
In this paper we enhance the PLA relational spatial model for storing a special type of planar graphs. The PLA-model is very handy to store 2-connected planar graphs, b.t it is not capab.e at all to store some other i...
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In this paper we enhance the PLA relational spatial model for storing a special type of planar graphs. The PLA-model is very handy to store 2-connected planar graphs, b.t it is not capab.e at all to store some other i...
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In this paper we enhance the PLA relational spatial model for storing a special type of planar graphs. The PLA-model is very handy to store 2-connected planar graphs, b.t it is not capab.e at all to store some other important classes of planar graphs: trees and, more generally, planar graphs with cut edges. In this paper we propose a method for their representation. The main idea is b.sed on Halin graphs that are planar graphs of minimum degree 3 from which the removal of the b.undary edges of the infinite region yields a tree. Our results are to identify Halin graphs from the model, and to represent trees as virtual Halin graphs in order to store them without major alteration of the original PLA-model
This papers reports the advances in Optical Core networks research coordinated in the framework of the e-Photon/ONe and e-Photon/ONe+ networks of excellence.
ISBN:
(纸本)1424402212
This papers reports the advances in Optical Core networks research coordinated in the framework of the e-Photon/ONe and e-Photon/ONe+ networks of excellence.
The aim of the paper is to develop an edge preserving image compression technique using one hidden layer feed forward neural network of which the neurons are determined adaptively. Edge detection and multi-level thres...
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ISBN:
(纸本)0889864861
The aim of the paper is to develop an edge preserving image compression technique using one hidden layer feed forward neural network of which the neurons are determined adaptively. Edge detection and multi-level thresholding operations are applied to reduce the image size significantly. The processed image b.ock is fed as single input pattern while single output pattern has b.en constructed from the original image unlike other neural network b.sed techniques where multiple image b.ocks are fed to train the network. The paper proposes initialization of weights b.tween the input and lone hidden layer b. transforming pixel coordinates of the input pattern b.ock into its equivalent one-dimensional representation. Initialization process exhib.ts b.tter rate of convergence of the b.ck propagation training algorithm compare to the randomization of initial weights. The proposed scheme has b.en demonstrated through several experiments including Lena that show very promising results in compression as well as in reconstructed images over conventional neural network b.sed techniques availab.e in the literature.
This paper describ.s the details of a proposed new architecture and implementation that enab.es monitoring of the SCADA-controlled system for chemical process control over the Internet. This Internet-b.sed SCADA syste...
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ISBN:
(纸本)9781604234817
This paper describ.s the details of a proposed new architecture and implementation that enab.es monitoring of the SCADA-controlled system for chemical process control over the Internet. This Internet-b.sed SCADA system makes it possib.e to get the current process values from an outstation and display them on a web.b.owser, and to securely send control messages to the outstation from the same web.b.owser. This new monitoring and control system is referred to as secure SCADA over the Internet (SSOI). The ob.ective of SSOI is to enhance existing computer-b.sed process control systems b. providing an extra facility to monitor and control such processes from remote locations. The proposed SSOI strategy has b.en tested b. monitoring and controlling a water-level control system located in the Chemical engineering Department at the University of Louisville.
We are working on NASA-relevant declarative and procedural languages to help meet the challenges posed b. future long distance and duration missions. These languages enab.e the rapid development and deployment of depe...
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