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Pneumoconiosis has been the most harmful occupational disease for coal miners for decades and is difficult to cure completely. If this disease can be diagnosed and cured in time, it can be effectively controlled. Currently, the most reliable clinical diagnosis method is using X‐ray or high‐resolution computerized tomography (CT). Here, we propose a method to diagnose pneumoconiosis using wrist pulse...
This paper introduces a novel approach to correct stripe non-uniformity in infrared images. The differences between the bias of the column readout circuit of infrared focal plane arrays result in strong stripe noise. We propose that the bias of the column readout circuits can be observed by using a 1D bilateral filter on the average signal of the columns of infrared images. In this paper we regard...
Pulse signal is one of the most important physiological signals in human bodies. It can provide the most important information for disease diagnosis. In this paper, we focus on the human pulse feature extraction based on Empirical Mode Decomposition (EMD). Arteriosclerosis pulse feature extraction based on EMD is studied. We analyze the atherosclerosis pulses by using their modal energy ratio. Simulation...
Pulse diagnosis is one of the most important methods in traditional Chinese medicine diagnosis. In order to classify the human pulses effectively, feature extraction and pattern recognition are needed. In this paper wavelet transform is used to the feature extraction and the third layer wavelet energy and the wavelet entropy values are selected as the wavelet domain features. Therefore a new feature...
A new algorithm based on PDF document structure and the new words generated from the hidden information is proposed in this paper. Through software Fontographer we generate two font files with the same character codes. The secrete key is stored in the first file and it contains the font shapes formed from the new words. The private blank characters are stored in the second file and they do not possess...
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