Sentence examples for large proportion of system from inspiring English sources

In practical applications, image enhancement usually takes up a large proportion of system processing time and improved image enhancement can reduce the computing time of the vision detection system.

The results reaffirm that because otter boards contribute towards a large proportion of total system drag (estimated here at up to ∼56%), their appropriate configuration is essential to maximise the fuel efficiency of penaeid-trawl systems.

However, a large proportion of health systems research to-date is unfortunately separated from decision making processes [ 3, 4].

This is surprising given the key role that hospitals play in the delivery of healthcare services and the large proportion of health systems resources that they absorb.

However with traditional IDSs there is rarely any integration among them in the context of monitoring for security breach attempts, and very seldom is there any sort of integrated security monitoring approach across a large proportion of an organization's information systems.

Given the infirmity of a large proportion of pensioners, the system would have to travel to them.

Her play is also much inspired by the work that she had now embarked on, as a trained addiction counsellor to the alcoholics and addicts who make up such a large proportion of our prison system.

The operating costs of oil depots account for a large proportion of the total system's operating costs.

The two quartiles with the lowest rates of home ownership had the largest proportions of systems in the medium and high nitrate categories (15% and 22%, respectively), compared with the two quartiles with the highest rates of home ownership (which had 7% and 8%, respectively).

Since a large proportion of the Indian health care system is financed by out-of-pocket expenses, we investigate the role of financial constraints for ED patients at a private hospital in India in leaving AMA.

As with hypertension different sources of data highlight a large proportion of people "missing" from health system data.