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The tremendous increase in the complexity (memory and computations) of graphics models have been supported by a similar increase in the computational resources available in graphics processing units (GPUs). The inherently high parallelism of such systems has led to a significant increase in power dissipation, thereby necessitating expensive cooling(More)
Article history: Received 28 October 2011 Received in revised form 23 June 2013 Accepted 25 June 2013 Available online 13 July 2013 Frequent episode discovery is a popular framework for pattern discovery from sequential data. It has found many applications in domains like alarmmanagement in telecommunication networks, fault analysis in the manufacturing(More)
A scanning electron microscopic study was carried out to compare the in vivo pathogenicity of two strains of Vibrio cholerae in an adult rabbit ligated-gut test model. V. cholerae C5 (serotype Ogawa, biotype El Tor), a motile strain possessing hemagglutinating activity in vitro, and C21 (serotype Ogawa, classical biotype), a nonmotile strain possessing no(More)
Article history: Received 31 May 2013 Received in revised form 5 July 2013 Accepted 16 July 2013 This paper provides an evaluation of robustness and performances of two types of 1.2 kV SiC MOSFETs in order to investigate these power devices for aircraft applications in medium power range. The paper focuses on robustness results showing the weakness of the(More)
Most pattern mining methods yield a large number of frequent patterns, and isolating a small relevant subset of patterns is a challenging problem of current interest. In this paper, we address this problem in the context of discovering frequent episodes from symbolic time-series data. Motivated by the Minimum Description Length principle, we formulate the(More)
This paper evaluates robustness and performances of two types of 1.2 kV SiC MOSFETs in order to investigate these power devices for medium power aeronautics applications. The first part focuses on switching performances with effects of gate resistance and load current level. The second part focuses on robustness results showing the weakness of the gate(More)
Software clustering involves the partitioning of software system components into clusters with the goal of obtaining optimum exterior and interior connectivity between the components. Research in this area has produced numerous algorithms with different methodologies and parameters. In this paper, we propose a novel ensemble approach that synthesizes a new(More)
In this paper, we propose a genetic algorithm based approach to determine the pose of an object in Automated Visual Inspection having three degrees of freedom. We have investigated the effect of noise at 20 dB SNR and also mismatch resulting from incorrect correspondences between the object space points and the image space points, on the estimation of pose(More)