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The proposed methodology is oriented towards the application field of control-dominated embedded systems implemented onto a single chip.
We have tested the scheduling technique on several image processing applications implemented onto a heterogeneous target architecture composed of two processors coupled with a configurable logic unit (FPGA).
A potential imaging function was implemented onto a CMOS image sensor with a simple pixel circuitry that is compatible with optical image sensor pixels.
The designed control schemes have been implemented onto a robotized wheelchair and experimental results show the robust behaviour of the designed system.
In this paper we propose a parallel architecture that efficiently implements the high computationally demanding core of a matching algorithm based on Band-Limited Phase Only spatial Correlation (BLPOC), performed by two concurrent computational units implemented onto a Stratix II Altera family FPGA.
For the Hamming distance, Krishnan and Tang (2004) give an exhaustive method running sequentially in time O(n), that can be easily implemented onto a parallel architecture, since every possible pattern length is searched independently.
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From a sequential application, the proposed graphic programming environment (CubeGen) leads us to generate MPSoC system implementation on an FPGA with the parallelized application implemented onto it only in few hours.
Combined, these results suggest that the Sharklet micropattern implemented onto CVC surfaces will provide clinicians with a non-eluting and non-toxic technology that inhibits the mechanisms that lead to CRBSIs and CRTs.
One benefit of the systems is that they can be made of transparent materials such as rubber silica, Plexiglas or glass and as a consequence they can easily be implemented onto microscopes to be combined with suitable read-out techniques.
Demonstration of biofilm reduction by this micro-patterned surface in a range of conditions and with a range of pathogens suggest that the micro-pattern implemented onto ETT surfaces may reduce VAP rates without the use of antimicrobial agents.
As a result, any operations based on the fake information will be implemented onto the actual system.
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