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Human behavior detection has become increasingly significant in various fields of application. In this paper, we propose a device-free indoor human behavior detection method with channel state information (CSI) and principal component analysis (PCA), respectively, in the line of sight environment, non-line-of-sight environment, and through the wall environment experiments. We divide this method into...
Taking the J19 dense well network area in the Fuyu Oilfield as a case, combined with field outcrop and modern shallow water delta sedimentary model and using coring and logging data, this paper puts forward a comprehensive analysis method for reservoir architecture of deltaic front underwater distributary channel single sand body. The causes and sedimentary evolution mechanisms for foresets of retained...
The learning algorithm and determination of network parameters of dynamic fuzzy neural network (DFNN) implements Takagi¨CSugeno¨CKang (TSK) fuzzy systems based on extended radial basis function neural networks (RBFNN) are introduced, combing wavelet transform with DFNN, a landslide deformation mornitoring data denoising by wavelet transform to divide noise from the original deformation data to obtain...
Mass in mammogram can be an indicator of breast cancer. In this work we propose a new approach using twin support vector machine (TWSVM) for automated detection of mass in digital mammograms. This algorithm finds two hyperplanes to classify data points into different classes according to the relevance between a given point and either plane. It works much faster than original SVM classifier. The proposed...
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