The modified multipath mitigation methods, including sidereal filtering algorithm and multipath hemispherical map (MHM) model, were used to improve BDS dynamic deformation monitoring. The results indicate that the sidereal filtering methods can reduce the root mean square (RMS) of positioning errors in ...
Keywords: ARAIM; signal-in-space user range errors; false alert probability; availability 1. Introduction Advanced Receiver Autonomous Integrity Monitoring (ARAIM) can provide global users with integrity monitoring service for vertical guidance [1]. The ARAIM algorithm is affected by several error ...
The gauge is equipped with Tretyakov and Alter Shields [40,41] and placed inside a double-fence intercomparison reference (DFIR) to minimize the effect of wind [41–43]. It also uses a special filter algorithm to prevent incorrect measurement [44]. There are two years of measurements (2017...
Unlike a low-voltage electric heater with a heating capacity of about 1 kW, such as that used as an auxiliary heater in a conventional internal combustion engine [10,11], the capacity of the main heating system of an electric vehicle is generally 5 kW or higher. A high-voltage PTC ...
We are the first to validate the use of wearable sensors to identify and describe kinematic characteristics of infant arm movements from full-day data. Our purpose here is to describe the development of an algorithm to identify and classify bouts of infant arm movement from wearable sensor data....
Therefore, this paper presents an improved additional frequency control strategy for wind farms. According to the variation law of system frequency during the whole process of a short-circuit fault, the proposed strategy revises the parameters in conventional additional frequency control of the doubly-...
Random forest is a machine learning algorithm based on decision trees which can perform feature selection from a large number of variables [19]. Partial least squares discrimination analysis (PLS-DA) is a multivariate statistical analysis based on multiple linear regression. It is also used to ...
By using the algorithm given in Figure 2, the DAEM of each Tboiodmedasuscepathraemopettiemr awl avsalcuaelscufolarttehde. kinetic parameters ( , , etc.), an objective function was defined as shown in Equations (9) and (10) below. By using the algorithm given in Figure 2, the DAEM ...
Predictive maps were created by interpolation using the Ordinary Kriging algorithm. The main results of this study were that, when transitioning from a rainfed to irrigation CS, SOM content is maintained in Cambisols but decreases in the other RSGs, pHw is maintained and EC increases in Fluvisols...
In order to consider both the time dependence of the univariate and the dependence of the multivariate on variables, an ensemble method was introduced, based on the predicted values from the univariate and multivariate. Among the ensemble methods, the weighted average and the stacking method were ...