Sentence examples for a data processing architecture from inspiring English sources

In this paper, we present a data processing architecture based on a set of cooperative classifiers aimed at class recognition with sensor arrays.

In this paper we elaborate the concept that sensor arrays may be rather unsensitive to single elements' failures, and for the scope a data processing architecture based on a set of sub-classifiers one for each sensor is introduced.

More recent proposals are questioning this type of architecture because of its complexity and high maintenance costs, and foster the development of stream-only architectures, where the SPE plays a more central role.12 All these models study the integration of SPEs within a data processing architecture, and do not consider the detailed execution semantics of the SPE, as SECRET does.

All of them have a layered data processing architecture that allows hierarchical information processing.

Rich because the idea is this is not just Facebook posts of baby photos and tweets about what you ate for lunch being connected together within a common data processing architecture.

We describe our data processing architecture and the steps required to preformat and analyse the data.

Empirical experiments confirmed the ability of this approach to improve the accuracy of fingerprint identification queries when compared to the static data processing architecture of current systems.

In order to speed up the computation process, pipelined data processing architectures have been employed leading to a speed up of approximately three times.

Finally, some models have been proposed to describe at a higher level the organization of data processing architectures that include stream processing components.

The Modular toolkit for Data Processing (MDP) is an open source Python library that provides an implementation of several widespread algorithms and offers a unified framework to combine them to build more complex data processing architectures.

For example, in [17], the authors analyze the performance of different data processing architectures in smart grids.