Sentence examples for hardware to identify from inspiring English sources

Exact(1)

Therefore, incremental checkpointing was previously proposed to eliminate the checkpoint overhead by relying on the page protection hardware to identify dirty pages.

Similar(58)

Upon its execution, a routine in the bootloader checks the status of the hardware buttons to identify which boot mode to trigger.

Founded in 2016, Canvass' analytics platform works with IoT hardware to automatically identify inefficiencies in industrial operations and prevent equipment malfunctions, save energy and increase production.

A general rule of thumb when choosing a hardware platform is to identify both the design requirements and the hardware options and then select a suitable platform based on those considerations.

The serial peripheral interface master controller uses hardware slave selection to identify a peripheral device with which it wishes to exchange data.

To operate in such an environment, the CMS experiment will need a L1 hardware trigger able to identify interesting events within a latency of 12.5 μs.

The company makes and sells "a suite of hardware design tools to identify security vulnerabilities throughout the design of a semiconductor" and already have customers in aerospace and defense.

Additionally, this approach needs localization technique or hardware such as GPS to identify the neighbor's location.

Although not a true post-surgical complication, it is important to identify hardware misplacement and any deviations from the normal postoperative course.

Under the nom de guerre of Redrock Biometrics, the company's technology is waging war on the world's legions of identification cards, pin numbers, passwords, and voice identification technologies with a combination of off-the-shelf hardware and proprietary software to identify palm-prints to verify user identity.

These issues are being actively investigated by multidisciplinary research teams focused on developing improved speech movement tracking hardware and intelligent algorithms to identify abnormal speech and voice patterns in large datasets (64).

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