Sentence examples for a hardware constraint from inspiring English sources

Exact(1)

Various types of constraints are identified: · a hardware constraint refers to hardware requirements of the application, such as CPU or RAM.

Similar(59)

Our system may be the case in practical scenarios where the destination may not support complex functions, e.g., employing a diversity combiner due to a tiny hardware constraint wireless node which has limited battery power and signal processing capability or the direct link between the source and destination does not exist due to deep shadowing [18 20, 22].

We have implemented twin precision in an efficient manner with less hardware constraint compared to previous implementation, and a suitable algorithm is proposed.

Due to the hardware constraint, the possible channel widths are some discrete values in the range of.

Examples of D-CCC MAC protocols are the dynamic open spectrum sharing (DOSS) MAC protocol in [12], hardware constraint (HC) MAC protocol in [13], and opportunistic spectrum (OS) MAC protocol in [14].

Google now recognizes that there's value in making Android an OS without specific hardware constraints, and we've seen their executives note this on multiple recent occasions.

In his portrait of the now-legendary duo and their rocky relationship, Kushner creates a vivid picture of obsession, extraordinary technical skill and creativity pitted against severe hardware constraints, and a gaming industry coming into its own.

HC MAC proposed by Jia et al. [11] considers the hardware constraints in a node.

The objective function searches the maximum of the trajectory's k-space coverage subject to hardware constraints for a fixed scanning time using the trajectory's torsion as its optimization variable.

Thus, several inherent system and users' limitations in satisfying services' short-term QoS requirements, caused by the corresponding physical hardware constraints, under an interference limited opportunistic wireless environment are highlighted and discussed.

In this paper, we introduce three design principles, namely Write-Once Partitioning, Linear Pipelining and Background Linear Merging, and show how they can be combined to produce an embedded search engine matching the hardware constraints of secure tokens and reconciling high insert/delete/update rate and query scalability.

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