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Until now, routes evaluation for unmanned aerial vehicle still faces a variety of difficulties, which is due to the fact that during route evaluating, subjective judgments, quantitative data, and random information need to be considered simultaneously.
Particular attention was paid to dynamics of the NO bond cleavage in N2O molecule through electron and oxygen atom transfer routes, evaluation of preferable coordination modes of NO, discrimination between inner- and outer-sphere mechanism of NN bond formation, and the influence of spin and electronic redistribution on the reaction course (spin catalysis).
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The route evaluation component evaluates the routes using computer power, and it provides an efficient way to reduce the cost, since it can largely reduce the amount of tasks generated.
Since the system cannot automatically evaluate these candidate routes, it generates a route evaluation task and assigns it to some eligible workers.
Otherwise, the component will invoke the route evaluation component to automatically generate some candidate routes and evaluate the qualities of these candidate routes using the verified truth.
It is also the Session Manager that defines the routing metrics, provides the respective information element to the network layer, and implements route evaluation.
Route evaluation and selection are performed by the Session Manager based on Algorithm 1.
Risk-based route evaluation is necessary for decision making by authorities for regulating hazardous materials (hazmats) transport vehicles.
In this paper, by formulating route evaluation as a multi-criteria decision making problem including uncertainties, an integrated route evaluation approach based on type-2 fuzzy sets is proposed.
The MAC layer is responsible for providing per-link reliability as well as for providing link quality estimates to the Session Manager for route evaluation and selection.
A software tool is developed for the implementation of the proposed approach for product remanufacturing assessment, process planning, and disassembly route evaluation.
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