Sentence examples for device validation from inspiring English sources

In this paper, we present the design and implementation of S-MARKS which incorporates device validation, resource discovery and a privacy module.

After theoretical design, analysis and optimization of the device, validation experiments were carried out, which shows that the dandelion-like MD-PVEH can harvest relatively more energy in different excitations, although it harvests less energy from excitation in individual directions (for example, the angle between excitation direction and X axis is π/2 in XZ plane).

Device validation has been performed on a biologically relevant leukaemia cell line, with typical size and stiffness for eukaryotic cells.

Before using a new device, validation studies against gold-standard instruments are conducted to determine the accuracy and repeatability of the system [ 14].

Although the BALAD-2p model builds on the BALAD model's concept by including the ability to predict patient-level survival and as such is a more powerful prognostic device, validation in other regions of the world, especially where the aetiology is related to Hepatitis B, is still required.

The phantoms are "materials or artifacts that are used to test and evaluate the measurement performance of different measuring systems for specific tasks," and their specific properties may vary depending on their use, such as device validation and inter-laboratory comparisons [ 27].

II Device array used to determine the switching mechanism of TaOx based memristive devices including a AFM image of the 50 × 50 nm crossbar array and b I V cures for the microscale and nanoscale devices validation the proposed model [32].

For FDA approval diagnostic devices, analytical validation of the device to establish performance characteristics, such as analytical specificity, precision (repeatability and reproducibility), and limits of detection, is essential.

The FDA convened a public panel in 2009 to address regulatory issues for digital pathology and currently considers digital pathology devices with an intended use of rendering a primary diagnosis as Class III devices, requiring validation studies to ensure safety and effectiveness.

One reason for this is the lack of suitable devices for validation.

DAA testing presents specific challenges related to the low emission power of UWB devices, the validation of spectrum sensing algorithms and timing considerations.