The launch vehicle dynamics affected by bending and sloshing modes are considered. Attitude measurement data that are corrupted by flexible modes could yield instability of the vehicle dynamics. Flexible body and slos...
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Many software reliability growth models (SRGMs) based on non-homogeneous Poisson process (NHPP) framework have been proposed for estimating the reliability growth of products. However, some concerns regarding the prop...
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Many software reliability growth models (SRGMs) based on non-homogeneous Poisson process (NHPP) framework have been proposed for estimating the reliability growth of products. However, some concerns regarding the properties of NHPP framework were exposed and discussed while the NHPP models have received considerable attention. Two main concerns are (I) the variance of an NHPP-based model grows as software testing proceeds, which was considered an unreasonable NHPP property for describing software failure behavior; and (II) the numbers of failures observed in disjoint time intervals are independent, which may fails in the early stage of software testing. With regard to Concern (I), we will justify the validity of NHPP framework through a mathematical perspective, i.e. the process of parameter estimation for NHPP models. Considering Concern (II), we will explain why NHPP SRGMs are still workable from the applicable perspectives. As a result, we believe the NHPP framework may still have merit.
Segmentation of microcirculation is a major step in analyzing blood circulatory system. In this study, a method for segmentation of capillaries and small blood vessels in video recordings captured from lingual surface...
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ISBN:
(纸本)9781424459292;9780769539683
Segmentation of microcirculation is a major step in analyzing blood circulatory system. In this study, a method for segmentation of capillaries and small blood vessels in video recordings captured from lingual surface is presented. The main objective is to monitor and quantitatively assess the variations that occur in microcirculation over a period of treatment for diseases or during a resuscitation process. The resulting system will assist physicians and researchers to make diagnostically and therapeutically important decisions such as determination of effectiveness of drug usage and resuscitation process. The algorithm is based on advanced digital image processing methods to detect capillaries and to determine the Functional Capillary Density (FCD) in order to identify the distribution of blood flow for a variety of normal and abnormal cases. The technique consists of four main steps; preprocessing, video stabilization, segmentation and post-processing. This study specifically focuses on minimizing user interaction and improving the accuracy of results. Visual inspection of the results by medical experts indicates that the technique can identify 95% of active capillaries and small blood vessels.
This paper shows how the extended compact genetic algorithm can be scaled using data-intensive computing techniques such as MapReduce. Two different frameworks (Hadoop and MongoDB) are used to deploy MapReduce impleme...
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This paper shows how the extended compact genetic algorithm can be scaled using data-intensive computing techniques such as MapReduce. Two different frameworks (Hadoop and MongoDB) are used to deploy MapReduce implementations of the compact and extended compact genetic algorithms. Results show that both are good choices to deal with large-scale problems as they can scale with the number of commodity machines, as opposed to previous efforts with other techniques that either required specialized high-performance hardware or shared memory environments.
We calculate the geometric phase of a bipartite two-level system coupled to an external environment. We analyze the reduced density matrix for an arbitrary initial state of the composite system and compute the correct...
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We calculate the geometric phase of a bipartite two-level system coupled to an external environment. We analyze the reduced density matrix for an arbitrary initial state of the composite system and compute the correction to the unitary geometric phase through a kinematic approach. In all cases considered, we observe a similar structure as a function of the degree of the entanglement of the initial state. Further, we compute the entanglement entropy and concurrence of the bipartite state and analyze if there is any relation among these quantities and the geometric phase acquired during the nonunitary system’s evolution. Finally, we discuss the results obtained.
In this work we describe an optimization technique for PIC/MC modeling of the plasma edge using High Performance Computing. The developed code BIT1 can be used for 1D3V plasma and 2D3V neutral particle modeling with a...
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In this work we describe an optimization technique for PIC/MC modeling of the plasma edge using High Performance Computing. The developed code BIT1 can be used for 1D3V plasma and 2D3V neutral particle modeling with a reasonable scaling up to 1000 and more processors.
Unlike gambling, lottery games can exist in a lawful form to raise funds for charitable institutions. Owing to the expeditious development of network technology, lotteries over the Internet have become an inevitable t...
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We derive exact expressions for the Casimir scalar interaction energy between media-separated eccentric dielectric cylinders and for the media-separated cylinder-plane geometry using a mode-summation approach. Similar...
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We derive exact expressions for the Casimir scalar interaction energy between media-separated eccentric dielectric cylinders and for the media-separated cylinder-plane geometry using a mode-summation approach. Similarly to the electromagnetic Casimir-Lifshitz interaction energy between fluid-separated planar plates, the force between cylinders is attractive or repulsive depending on the relative values of the permittivities of the three intervening media.
applications with divisible loads have such a rich source of parallelism that their parallelization can significantly reduce their total completion time on grid computing environments. However, it is a challenge for g...
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applications with divisible loads have such a rich source of parallelism that their parallelization can significantly reduce their total completion time on grid computing environments. However, it is a challenge for grid users, probably scientists and engineers, to develop their applications which can exploit the computing power of the grid. We propose a performance-based skeleton algorithm for implementing divisible load applications on grids. Following this skeleton, novice grid programmers can easily develop a high performance grid application. To examine the performance of programs developed by this approach, we apply this skeleton to implement three kinds of applications and conduct experiments on our grid test-bed. Experimental results show that programs implemented by this approach run more rapidly than those using conventional scheduling schemes.
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