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By recognizing patterns in occupants' daily activities, building systems are able to optimize and personalize services. Established technologies are available for data collection and pattern mining, but they all share the drawback that the methodology used for data collection tends to be ill suited for pattern recognition. For this research, we developed a bespoke WSN and combined it with a compact...
With the development of digital and waveform micro-seismic emission (ME) technology, it makes the recognition of ME source possible. Because of the noise and complex of ME signal transmission characteristic, the recognition of ME source is very difficult. In order to resolve this problem, the new method of multi-sensor data fusion on decision level was presented. Using the data from each sensor in...
Ultrasonic nondestructive testing for wood defects is studied based on the energy spectrum variety of the ultrasonic signals by means of wavelet transform, coefficient of wavelet node and the artificial neural networks (ANN). The energy change of defect wood specimen mostly depends on the degree of defects. And the defect degree is proportional to the energy change. By comparing the energy variety...
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