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Human tracking is one of the most important requirements for service mobile robots. Cameras and Laser Ranger Finders (LRFs) are usually used together for human tracking. But these kinds of solutions are too computationally expensive for most embedded processors on these robots as complex computer vision algorithms are needed to process large number of pixels. In this paper, we describe a method combining...
Pulse Diagnosis Theory (PDT) has the advantages of non-invasive treatment and disease prevention. Combining these merits with Wireless Sensor Network(WSN), we propose a novel networked low-cost and wearable healthcare monitoring system, namely PDhms, for pulse data collection, pulse analysis and pulse diagnosis. Some practical challenges still exist in PDhms such as exerting appropriate pressure on...
To meet the increasing needs of home-based healthcare, we propose a novel networked low-cost and wearable healthcare monitoring system, namely TCM-PCA, for pulse analysis in Traditional Chinese Medicine(TCM). The unique innovations of the system are as follows: (1) We propose a novel adaptive features extraction algorithm for pulse waveform to improve physiological feature extraction accuracy of sensed...
We considered the problem of use the reliability of unlicensed users for cooperative spectrum sensing in cognitive radio systems by analyzing the Huffman encoding algorithm. We present a novel cooperative spectrum sensing algorithm in cognitive radio systems. We drive the close-form expressions for the average sending bits for each unlicensed user for cooperation and expression for the probability...
For the rolling bearing diagnosis, how to identify the fault feature effectively is the key issue. Due to the resonance modulation characteristic induced by shock fault of the rolling bearings, the wavelet transform technology can extract the modulation information effectively. On the other hand, as there are no fixed kernel functions in wavelet analysis, the transform results are closely related...
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