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We implement our algorithm for this problem.
To evaluate the effectiveness of the TCP NRT algorithm, we implement our algorithm in the network simulator Qualnet version 5 [22] and test it in various conditions.
Hence, in order to implement joint CS and PCA for real signals, we should implement our algorithm at two phases: training phase and subsequent monitoring phase.
We show how to implement our algorithm in the t copula model and compare its performance there to the algorithm developed by Chan and Kroese (2010).
We chose to implement our algorithm in a square area of 500 500, where a variable number of wireless nodes has been randomly deployed, according to the reported nodes density (, which correspond to ).
We implement our algorithm on top of Apache Storm and conduct extensive experiments to evaluate the performance of our algorithm with synthetic data and real data, which demonstrates the efficiency and scalability of our algorithm.
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We also implement our algorithms in TOSSIM and evaluate them against commonly used metrics.
Being easy to implement, our algorithms could serve as building blocks for other non-trivial distributed computation in dynamic networks.
We used a 32-node cluster of workstations and the message passing interface (MPI) to implement our algorithms in a distributed memory environment.
Second, we plan to implement our algorithms on mobile device and deploy our system in the city of Carabayllo, a high-burden TB area in Lima, the capital of Perú.
A future qualitative paper will examine the process involved in implementing our algorithm; however, implementation was not always smooth.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com