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Step change is a key factor affecting the user trajectory and distance, to determine the trajectory of the user is a common indoor positioning method based on inertial navigation line calculation model, the prediction step is mainly based on the linear sensor, acceleration sensor data and the movement of the periodic estimation of pedestrians every step of the displacement distance. In order to improve...
In order to early warn the alga bloom in a reservoir (drinking water source) in northeast China, we carried out a comparative investigation on three statistical machine learning methods to construct suitable one-step weekly Chlorophyll-a (Chla) prediction models: multiple linear regression (MLR), back propagation artificial neural network (BPANN) and support vector regression machine (SVR). Previously,...
In this paper, a novel strategy for data transmission that is based on prediction revision dynamic adjustment data gathering algorithm (PRDA) is proposed in WSNs. The key idea of the PRDA is to separate the data prediction and model computing, and the autoregressive process model is employed for prediction revision algorithm. The model computing of PRDA is conducted by sink node firstly according...
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