A review of self-validating sensor technology magazine -

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Following the existence of missing values at random instants of time, the causes may be the mechanical problems or power failures of sensors. The Wireless Sensor Networks WSN are an example of systems where the different nodes of the network may perform the validation of the data collected for the neighbourhood nodes, and these nodes may be composed of different types of sensors. These authors also performed a research about the use of some fuzzy logic rules, comparing the predicted values with the actual measurements to obtain the confidence evaluation [ 36 ].

Towards an Evidence-Based Society. However, the reconstruction of the data and correction for the correct measurement is also important, and several research studies have proposed systems, methods, models, and frameworks to improve the data validation and reconstruction [ 3 , 4 ]. NPL collaborates with leading national and international organisations to ensure our science achieves the highest possible impact.

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Therefore where a linear temperature increase is applied to the active area, a plateau in the thermocouple output is registered - as the energy entering the system is used to achieve the phase transition instead of changing the temperature. Furthermore, with the development of supporting automation, these devices will make the process transparent to the user. Towards an Evidence-Based Society. At this case, data correction methods should be applied, including data imputation and data cleaning.

Once estimated the initial error of the system, that is, how different the obtained results are from the results obtained by the gold standard system, the validation of the results of the system consist of three steps, such as the definition of the confidence level needed for the acceptance of the system, the determination of the minimum number of experiments needed to validate the application with confidence level defined, and the validation of the results when compared to a golden-standard [ 54 ].

The remainder of this paper is organized as follows: To achieve a minimum degree of error, statistical methods need to be applied to ensure that the output of the mobile application is to maximum extent similar to the output given by the relevant golden standard, if and when this is possible.

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Validation Techniques for Sensor Data in Mobile Health Applications

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