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Terms starting with R
Definition
R2 : is a measure of data linearity that represents the strength of linear correlation of the sensor measurements with the corresponding reference instrument measurements.
A relay is an electrically operated switch or device that uses an electromagnet to control the opening or closing of one or more sets of contacts. It acts as an interface between low-power control circuits and high-power loads, allowing a small electrical signal to control a larger current or voltage. Relays are widely used in various applications and industries for their ability to provide electrical isolation, safety, and automation. Relays are valuable components in electrical and electronic systems, allowing for the remote control and automation of various devices and processes. They are a fundamental part of modern technology and play a critical role in everything from basic household appliances to complex industrial machinery.
Remote sensing is a technology used to gather information about the Earth’s surface or other objects from a distance, typically from aircraft or satellites.
A description of how closely a sample reflects the characteristics of the whole. Although challenging to verify, effort should be made to ensure that a sample is representative using techniques such as thorough mixing to obtain homogeneity, duplicate analyses, etc.
“Reproducibility is an expression of the precision of the candidate solution and is calculated across the microsensor samples of a candidate solution, it includes both the variability due to causes intrinsic to one sensor unit (e.g., measurement noise) and inter-device variability (e.g., due to the manufacturing process). It is calculated according to the ISO 5725-2 standard12 as the standard deviation of the reproducibility normalized by the measurement average and expressed as a percentage, 𝑠𝑅. (need to refer ISO 5725-2 2019)
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A sensor may be quick or slow to detect changing pollutant concentrations in the air. A sensor that responds quickly (i.e., high time resolution) may be useful for mobile monitoring and observing very rapid (e.g., seconds to minutes) changes in pollutant concentrations at fixed sites (such as near roadways with heavy traffic),
RMSE – Root mean square error indicates the accuracy of the prediction by the calibration model. It is calculated as the square root of mean squared terms of the difference between the individual predicted value(pi) and individual reference value(yi). The number of data points taken for averaging is denoted by n.
