Sensor drift is an intractable obstacle to practical temperature measurement in smart building. In this paper, we propose a sensor spatial correlation model ...
In this paper, we propose a sensor spatial correlation model. Given prior knowledge, Maximum-a- posteriori (MAP) estimation is performed to calibrate drifts.
Model in Smart Building. Tinghuan Chen1. Bingqing Lin2. Hao Geng1. Bei ... ▷ A sensor spatial correlation model has been proposed to perform drift calibration.
Experimental results show that on benchmarks from simulator EnergyPlus, compared with state-of-the-art method, the proposed framework can achieve a robust ...
... sensors or heavily rely on the partial information about the sensing matrix. In this paper, we establish a sensor spatial correlation model to calibrate drifts ...
Leveraging spatial correlation for sensor drift calibration in smart building ... 2020. Sensor drift calibration via spatial correlation model in smart building.
A novel framework directly using vibration signals from multiple sensors for BHM tasks is developed. The model can capture the temporal relationship between ...
This paper considers the problem of blindly calibrating sensor response using routine sensor network measurements. We show that as long as the sensors ...
Abstract—Temporal drift of sensory data is a severe problem impacting the data quality of wireless sensor networks (WSNs).
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By mounting a visual-inertial sensor onto a pendulum equipped with a high-resolution encoder, the authors of this study were able to estimate the relative ...