The continuous shrinking of devices has introduced new challenges to integrated circuit design, mainly to deal with the parametric variations in process parameters. This paper presents an evaluation of the process var...
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The SOA architecture primarily based on Web services is experiencing a steady adoption, although its growth was lower than expected when it was launched, mainly because of security related concerns. Web services inher...
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The SOA architecture primarily based on Web services is experiencing a steady adoption, although its growth was lower than expected when it was launched, mainly because of security related concerns. Web services inherited many well-known security problems of Web applications and brought new ones. Major data breaches today are consequences of bad input validation at the application level. This paper presents a way to implement an input validation model for Web services which can be used to prevent cross-site scripting and SQL injection through the use of predefined models which specify valid inputs. The proposed WSIVM (Web Services Input Validation Model) consists of an XML schema, an XML specification, and a module for performing input validation according to the schema. A case study showing the effectiveness and performance of this mechanism is also presented.
Distributed storage of data files in different nodes of a network enhances the reliability of the data by offering protection against node failure. In the (N,K),N ≥ K file distribution scheme, from a file F of size |...
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ISBN:
(纸本)9781467307734;9781467307758
Distributed storage of data files in different nodes of a network enhances the reliability of the data by offering protection against node failure. In the (N,K),N ≥ K file distribution scheme, from a file F of size |F|, N segments of size |F|/K are created in such a way that it is possible to reconstruct the entire file, just by accessing any K segments. For the reconstruction scheme to work it is essential that the K segments of the file are stored in nodes that are connected in the network. However in case of node failures the network might become disconnected (i.e., split into several connected components). We focus on node failures that are spatially-correlated or region-based. Such failures are often encountered in disaster situations or natural calamities where only the nodes in the disaster zone are affected. The goal of this research is to devise a file segment distribution scheme so that, even if the network becomes disconnected due to any region fault, at least one of the largest connected components will have at least K distinct file segments with which to reconstruct the entire file. The distribution scheme will also ensure that the total storage requirement is minimized. We provide an optimal solution through Integer Linear programming and an approximation solution with a guaranteed performance bound of O(ln n) to solve the problem for any arbitrary network. The performance of the approximation algorithm is evaluated by simulation on two real networks.
We present a novel method for obtaining a concise and mathematically grounded description of multivariate differences between a pair of clinical datasets. Often data collected under similar circumstances reect fundame...
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The continuous shrinking of devices has introduced new challenges to integrated circuit design, mainly to deal with the parametric variations in process parameters. This paper presents an evaluation of the process var...
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ISBN:
(纸本)9781467312073
The continuous shrinking of devices has introduced new challenges to integrated circuit design, mainly to deal with the parametric variations in process parameters. This paper presents an evaluation of the process variability on the current Ids of nanotechnologies devices, individually and simultaneously, taking into account the correlation among them. The results show that the deviation from mean value is quite significant ≈ 16% for high performance models. The variation of L has the dominant effect on the overall variation of the device in high performance models while the dominant effect on the overall variation of the device in low power models still being due to Vth variations. Lastly, the effect of process parameter variations deteriorates with technology scaling, with a considerable increase in the deviation from the 22nm to 16nm technology.
3D cell nuclei segmentation from fluorescence microscopy images is a key application in many biological studies. We propose a new, fully automated and non parametric method that takes advantage of the resolution aniso...
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3D cell nuclei segmentation from fluorescence microscopy images is a key application in many biological studies. We propose a new, fully automated and non parametric method that takes advantage of the resolution anisotropy in fluorescence microscopy. The cell nuclei are first detected in 2D at each image plane and then tracked over depth through a graph based decision to recover their 3D profiles. As the tracking fails to separate very close cell nuclei along depth, we also propose a corrective step based on an intensity projection criterion. Experimental results on real data demonstrate the efficacy of the proposed method.
The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range...
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This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) an...
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This paper presents a new code compression method where we use different dictionaries, all of them are based in traditional Huffman algorithm. Our method reduces code size by up to 34.5% (including all extra costs) and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations using Simple Scalar and analyzes using the applications from benchmark MiBench and use the embedded processor ARM.
Segmentation of spinal vertebrae is extremely important in the study of spinal related disease or disorders. However, limited work has been done on precise segmentation of spinal vertebrae. The complexity of vertebrae...
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ISBN:
(纸本)9781457718571
Segmentation of spinal vertebrae is extremely important in the study of spinal related disease or disorders. However, limited work has been done on precise segmentation of spinal vertebrae. The complexity of vertebrae shapes, with gaps in the cortical bone, internal boundaries, as well as the noisy, incomplete or missing information from the images have undoubtedly increased the challenge for image analysis. In this paper, we introduce a novel level set segmentation framework that integrates shape prior and the Willmore flow to drive the level set evolution. While the shape energy draws the level set function towards a range of possible prior shapes, the edge-mounted Willmore energy captures the localized geometry information and smooths the surface during the level set evolution. Experimental results on segmentation of spinal vertebrae from CT images demonstrate the powerful combination of prior knowledge and geometrical flow.
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