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Although theoretical analysis (such as analytical models) and simulation are helpful during the development, performance evaluation, and validation of new VDTN protocols, services, and applications, it is essential to deploy, experiment, and evaluate their performance in a testbed, in order to assess them under real-world conditions.
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Three of the excursions were needed to assemble Dextre and the others to deploy experiments, examine a malfunctioning rotary joint on a truss holding solar power panels, and stow a long shuttle-inspection boom that the Discovery will retrieve and use on the next shuttle mission.
We begin by describing the wireless testbed infrastructure and the configurations that we used to deploy experiments.
Finally, we deploy experiments that demonstrate how the proposed algorithms perform in cases with variable link qualities and different rates.
The plan for Alvin Dive 4636 was ambitious: deploy four experiments and collect eight authigenic carbonates, four Niskin bottles of water, 24 tube cores of seep sediment, one scoop of clams, and two "slurps" of microbial mat.
The proposed framework is deployed and experimented in an institution, which pertains to discovery and dissemination of multimedia data within their available resources, and the results are tabulated.
Thanks to J. O. Sickman for guidance on experimental design; J. Jones and M. Anderson for fluorometry assistance; F. Setaro for assistance with organic nutrient digestions; B. Clinton, A. Engen and B. Petty for conducting flow-injection and combustion elemental analysis; and S. Sadro for helping deploy the first experiment.
Of course, the additional information gained by formal acceptability experiments is offset by the fact that they take considerably more time to deploy than informal acceptability experiments: an informal experiment can be conducted in a matter of minutes, whereas formal experiments can require several weeks for recruiting and running a full sample (e.g., 25 30 participants).
The Experimentation Service is all about helping developers quickly train and deploy machine learning experiments.
The following are the hardware infrastructure (Figure 8) deployed for the experiment consisted of: 1.
For validation purposes the network simulator-2 (NS2) was used to deploy the respective experiments.
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