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Testing the implementation of such applications and protocols is a real challenge as the position of the mobile terminals and environmental effects strongly affect the overall performance.
Comparing these results to those when using MPSoC design-based hardware router (improvements of 3.72 x and 6.58 x, respectively), this means that the multistage architecture is capable of significantly further improving the parallel implementation of such applications.
The design and implementation of such applications are beyond the scope of this paper, but instead, we give a set of example queries against a sample database that may be executed to generate the desired summaries.
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However, very little translational research is ongoing beyond Bench to Bedside to assess validity, utility, implementation and outcomes of such applications.
This implementation is suitable for the study of such applications as the Anderson localization of light and super-resolution (perfect lensing).
However, it is also important to acknowledge that the capabilities of such applications (and implementation thereof) in predicting the cost and performance of optimal design proposals (Petric et al. 2002) should enable design engineers to compare the quality of any one tentative solution against the quality of previous solutions.
In the contexts of such applications, particularly given the scope to improve the implementation, we perceive our algorithm (if not our current implementation) has utility.
However, a number of issues regarding VPS design, authenticity and implementation need to be fulfilled, in order to reach the potential educational goals of such applications.
The outcome of such applications is uncertain.
A variety of MEMS device implementations for such applications are summarized and their important performances and capabilities are highlighted.
The state of the art points out two main open problems in the implementation of such automatic applications: on the one hand, the needed improvement of the reliability level of the existing recognition systems in terms of accuracy, security and real-time performances; on the other hand, the cost reduction of those physical platforms in charge of the processing.
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