Sentence examples for data processing systems and from inspiring English sources

Section 2 introduces the related big data processing systems and the challenges in developing POS.

Often such precision is not necessary; in this case TDC architectures with low resources occupancy are preferable allowing the implementation of data processing systems and of other utilities on the same device.

This paper gives the overview about existing data processing systems and prediction methods and then it describes a concrete design of a WPS with distributed data measuring points (stations), which are processed using a structure of neural networks based on multilayer perceptrons (MLP) with a combination of fuzzy logic.

It consists of DTS, heating system, water-supply system, data processing system and dike model.

This paper describes several requirements for a multimedia data processing system and the system architecture of an image computing system called the KAIST Image Computing System KICSS).

The software includes the computer control system and the order of accuracy control, release, and storage and accepts a programmable pulse sequence generator, pulse sequence control, image data acquisition and control, data processing system, and signal visualization system.

However, parallel to the rapid progress being made in upgrading the capability of data processing systems, methods and software tools have become available which work in the frequency domain using complex (soil-structure) mathematical models or models in which the soil is represented by frequency-dependent impedances.

Applications of human-factors engineering have been made to such simple devices as highway signs, telephone sets, hand tools, stoves, and to a host of modern, sophisticated complexes such as data processing systems, automated factories and warehouses, robots, and space vehicles.

It's being created in the old data-processing systems, and then it's being extracted into analytic repositories.

It facilitates access to model output data, together with the data-processing systems and architectures that allow an easier exploitation of such data.

This includes in particular, a structuring of observing and data processing systems at global, regional, and national levels.