Abstract : The development and utilization of internet-based technology has developed rapidly and also, we have been infused in an era of interconnections with the security that are delivered with the use internet technology in our day-to-day life services and these interconnections will lead to make networking is a most important aspect which also becomes as on indispensable part of our modern life. Due to the use of this technology has been creating us lots of security problems that are caused by malicious network intrusions. Therefore, securing device and system against malicious attacks has become an important and urgent task, since this intrusion can result in great risks. In this paper, we focus on the efficiency of PCA for intrusion detection to determine the advantages of use dimensionality reduction technique which improves the detection rate of the anomalies in the network data. The result is represented the various classification algorithm on Unswnb15 dataset of 4 9features. The result also presents the comparison analysis with and without PCA analysis on various classification algorithm..
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Range of intestinal microflora in patients with allergic rhinitis, atopic bronchial asthma and urticariaRange of intestinal microflora in patients with allergic rhinitis, atopic bronchial asthma and urticariaRange of intestinal microflora in patients with allergic rhinitis, atopic bronchial asthma and urticariaRange of intestinal microflora in patients with allergic rhinitis, atopic bronchial asthma and urticaria

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This paper presents the design, implementation and evaluation of new parallelization schemes for performing dense disparity estimation based on non-parametric rank transform and semi-global matching on Graphics Processing Units (GPUs). A detailed analysis of the performance limitating factors (memory throughput, instruction throughput, etc.) for each part of the parallel implementation is performed. Thus, a highly optimized mapping for each parallelization scheme onto the resources of the GPU is obtained. The resulting implementation performs disparity estimation at 27 frames per second for 1024×768 pixel images with 128 disparity levels on a Nvidia Tesla C2050 GPU.

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Abstract : In recent decades, the awareness in civil engineering construction is rapidly increased. More advanced technologies are used to safeguard important civil engineering structures from terrorist attack. Now a days the threat level from terrorist attack is very high. To make an emphasis on safeguarding these structures, cold-formed steel stud wall can be considered as one among the blast resistant system. This paper presents the finite element analysis of structural system in extreme loading condition. In practice, a special effort has to be taken to conduct experimental investigation on steel studs subjected to blast loading and therefore finite element modelling(FEM) is considered. To validate the finite element modelling performed by authors, a reference work published by earlier researchers on cold-formed steel stud wall [1] is considered and examined in the present study. FEM is a tool which predicts the engineering physics of the real structure. Studs of different shapes and of varied thickness were modelled and analysed using ABAQUS. In the connection of stud wall system, buckle bridge acts as a connecting element to maintain stability. Different shapes of buckle bridge were used. In the present study, the influence of explosive mass is shown as a drastic damage level which was investigated using finite element analysis. To protect the skeleton of the stud wall, sheathing material was used. The material which absorbs more amount of energy and dissipate the energy plastically uniformly to the stud wall system is found out. Energy absorption and dissipation study were carried out in the current research. Two of the models act like a air bag in a car to delay the pressure timing inside the stud wall. Shape optimizations were carried out to increase the structural resistance against pressure. The models under consideration were capable of resisting the given blast load..
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Abstract : Commercial oil shale is widespread in Jordan occurring mostly in the subsurface. More than 20 localities were reported including Attarat Umm Ghudran (AUM) area. Selected oil shale boreholes drilled in the AUM were sampled, analysed and studied in detail. The purpose is to verify their mineralogical composition and geochemical affinities including trace elements content. They were characterized using the polarizing microscopic, X-ray diffraction (XRD), scanning electron microscopy, and X-ray fluorescence spectrometry. Petrographically, the studied oil shale consists of bioclastic mudstone-wackestone, bioclastic packstone and foraminiferal grainstone. The XRD indicates that calcite is the dominant mineral with subordinate quartz. This was emphasized by chemical analysis. The average CaO is 31.03 wt.% followed by SiO2 which makes an average of 16.7 wt.%. The average content of SO3, Al2O3 and P2O5 is 2.69%, 2.25% and 2.1% respectively. Cluster analysis and correlation matrix were calculated for the major and trace element. The cluster analysis subdivided the elements into three group; including a carbonate group, an aluminosilicate group and a phosphate-sulfide group. In general, the studied oil shale is enriched in Zn, Sr, Cr, V, Ni, Zr, Cu, Mn, Rb and U. Uranium attains an average concentration of 21.15 ppm. Chemical composition results were compared with other localities. It was concluded that the enrichment is the result of the euxinic depositional environment, where they would co-precipitate mainly as sulfide minerals. The heavy metals in the oil shale are redox sensitive elements and are related to Mississippi Valley-type deposits..
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