Sentence examples for throughput information from inspiring English sources

Figure 14 shows the per-client average throughput information for each TCP flow.

The number is selected based on the assumption of availability of the current paths throughput information for the video source node and the sufficiency of the aggregate-estimated throughput for the traffic's minimum bandwidth requirements.

Throughput information was collected by dividing the total number of requests received at the server by the total execution time of the simulation (considering the simulation starts when the first request is received).

In addition to selecting a platform best suited for one's research interests, decisions about the genotyping platform may revolve around cost efficiency, turn-around time, throughput, information content and ease of use and analysis.

Ionomics, or the study of the ionome (which can be defined as the mineral trace element composition of a particular organism), is a modern functional genomics tool that can provide high throughput information about the broad spectrum nutrient composition of a given plant food.

At this point, the ASA improvement compares the current updated throughput information for the random rate (text{ KtB }_{text{ r }}) against the previous (text{ KtB }_{text{ r }}) value for the purpose of adjusting the standard deviation (sigma ) of the normal distribution (mathcal N (mu,sigma ^2)).

In order real-time users to efficiently adjust their utility parameter for all at the beginning of each time slot t, according to their short-term throughput requirements, the introduction of their actual short-term throughput performance information into the tuning procedure of their utility parameter is essential.

An integrated investigation of network and high-throughput information together can improve the quality of the analysis by accounting simultaneously for topological network properties alongside intrinsic features of the high-throughput data.

Here we present the development and implementation of a transcriptome-wide computational framework that combines high-throughput information with bioinformatics tools to predict potential functions and novel associations among transcripts and inferred proteins.

Most significantly, the acquired expertise in biological and mathematical knowledge and computer languages will facilitate mining of high throughput data and information to extract valuable biological meaning, and the development of efficient bioinformatics tools for the analysis, prediction and modeling of these experimental data.

We establish an information requirements workflow for streamlining information throughput during product realization.