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The audio nodes were developed using minicomputers (Beagleboards) and speakers.
ZigBee nodes were developed to sense environmental attributes such as temperature, humidity and gases concentration; switching ON and OFF ventilation fans; and texting emergency messages.
Specific nodes were developed for the questions and probes in the interview guide.
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Nodes are developed in house at KNIME, as well as by developers in the open-source and for-profit communities, and are then made available as downloads.
Finally, a mechanism for evaluating the topological importance of individual on-body sensor nodes is developed.
In addition, a highly efficient root-finding iterative technique with superlinear converging rates for computing the nodes is developed.
Therefore, a decentralized scheme that distributes the data collection and computational costs among several clusters of sensor nodes is developed.
Then, a synchronization method for a class of fractional-order colored complex network, containing both colored edges and colored nodes, is developed and some effective synchronization conditions via close-loop control are presented.
The programs on wireless self-organized sensor networks nodes are developed on TinyOS platform and with NesC, and the rest part of software is developed with Visual C# and Microsoft SQL 2000.
In order to solve problem, two-node C1 beam elements with six degrees of freedom per node are developed.
A finite element model with seven degrees of freedoms per node is developed to solve the problem.
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