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In order to meet the big data challenge of today's society, several parallel execution models on distributed memory architectures have been proposed: MapReduce, Iterative MapReduce, graph processing, and dataflow graph processing. Dryad is a distributed data-parallel execution engine that model program as dataflow graphs. In this paper, we evaluated the runtime and communication overhead of Dryad...
To achieve a succesful electromagnetic interference simulation and analysis among lots of electromagnetic equipment deployed in wide range, passing the time-varying spectrum simulation parameters to each simulation terminal quickly and in time is a critical factor. This paper proposes an electromagnetic propagation simulation platform, in which all the simulation terminals acquire part of the simulation...
Financial indicators are most able to reflect operation efficiency of commercial banks, for which anything others are no competition. And indicators from solely certain one quarter or one year are biased and not representative. So we use imprecise data instead of crisp data, applying interval DEA-DA for efficiency assessment. According to index structure proposed, we finally achieved results of discriminant...
According to the analysis of design practice and reuse, the design experience reuse system model and design experience reuse process model was proposed. The design experience reuse system modeling includes the product case data and subsystem of design reuse. The main function is to support the visible program design, carry out the UI intercommunion. The designer changes the assembly structure of parts...
The traditional error control coding of channel has no long satisfied the requirement of the deep space communication, because of the long delay, great error rate, probability of packet loss, links easily interrupted and so on. The Fountain codes, used in deep space communication, has been introduced and analyzed. The coding and decoding process of LT codes of Fountain codes has been introduced and...
This paper introduces an embedded speech recognition system, including both hardware and software frameworks, based on an FPGA platform and the HMM algorithm. The paper also proposes an approach to the design and implementation of an IP core for the forward algorithm, as well as simulating the algorithm. The main advantage of this approach is the reduction of processing time in speech recognition...
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