Sentence examples for end user qualities from inspiring English sources

Members of the Ehrhartoideae (rice), Panicoideae (maize, sorghum) and Pooideae (wheat, barley) grass subfamilies are the main grain crops worldwide and have been extensively improved by selective breeding to enhance productivity and end user qualities.

We aim to enhance the end user quality of experience (QoE) while improving the network and MT resource utilization.

Specifically, in this work, we have a threefold objective: i) alleviate spectrum shortage concerns by efficiently offloading traffic over the Wi-Fi network, ii) address network congestion by optimally balancing loads across multiple cells and iii) achieve the aforementioned objectives while taking network conditions and the end user quality-of-service (QoS) requirements into consideration.

Economically important traits in hybrid rye are, among others, grain yield and plant height in context of productivity as well as starch content and total pentosan content with regard to end user quality [ 5].

Self-organizing networks (SONs) are expected to minimize operational and capital expenditure of the operators while improving the end users' quality of experience.

However, many services, such as video streaming, run over IP networks, where transport layer protocols attempt to improve the IP network performance and, consequently, the end users' quality of experience (QoE).

Such broadband services require much higher data throughput performance than the traditional voice services to meet the end users' quality-of-service (QoS) requirements, which bring challenges to the existing cellular wireless infrastructure [2].

This new User Module empowers end-users to improve network performance and enhance the end-user Quality of Experience (QoE) based on their interaction activities.

Service downtime is an end-user quality indicator and total migration time is purely related to the network bandwidth availability of an operating environment.

As resource failures due to the increasing functionality and complexity of hybrid Cloud computing are inevitable, a failure-aware resource provisioning algorithm that is capable of attending to the end-users quality of service (QoS) requirements is paramount.

This next-generation network operation and management shall be based on the usage of Big Data Analytics techniques to monitor the end-user quality of experience through direct measures of the network.