Sentence examples for general-purpose solution from inspiring English sources

It is a general-purpose solution that has been tested with different prime movers: river turbine, tidal turbine, wind turbine, and wave energy converter.

As there are very different opportunistic WSN scenarios, it is very hard, if not impossible, to develop a true general-purpose solution.

EZchip has survived because it boasts the most flexible and most highly integrated chips, becoming a general-purpose solution to the network market much as the MPU (microprocessor) was to the PC.

The epsilon-constraint framework is a general-purpose solution approach for multi-objective optimization; it iteratively solves single-objective versions of the multi-objective problem, with additional so-called epsilon-constraints, in order to enumerate all Pareto-optimal solutions.

These platforms do the job, but they're general-purpose solutions that aren't optimized for families.

As stated in the introduction, our methodology for constructing a middleware API for cloud resource management centers around the decreasing overhead when compared to general-purpose solutions.

These general-purpose solutions are great for large organizations because the architecture is flexible enough to be useful for diverse markets.

Nevertheless, none of them considered the incompleteness of the educational data gathered in an academic credit system although incomplete data handling was figured out well with several different general-purpose solutions.

The resulting clustering algorithm, VQ_fk_nps, is elaborated and discussed in comparison with several different approaches based on k-means, SOM, fuzzy c-means, kernel fuzzy c-means, etc. Different from the existing general-purpose solutions, VQ_fk_nps is more effective on the real educational data sets at various levels of data incompleteness via internal clustering validation.

Besides the general-purpose solutions for parallel computing like the Message Passing Interface [ 25], hybrid solutions based on it [ 26, 27], or extension to specific frameworks like the R software environment for statistical computing [ 28], there are several tools specifically developed for Big Data analysis.

The design patterns identified for the GBox benefit from and reflect the specific requirements of interacting with data generated by clinical trials, and they contain clues for a general purpose solution to the challenge of having interfaces automatically assembled for multiple and volatile views of a domain.