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The insulator is an import part of transmission line, and the defects detection of insulator rely deeply on the insulators' position. Traditional methods about insulator recognition task are depend on color features and geometric features, those methods would be influenced by lots of factors, such as illumination and background in result getting poor generalization ability. In this paper, we propose...
This paper presents a novel application of software radio (e.g., Sora) for hand gesture recognition by using long training symbols. The type of gesture performed between the transmitter and receiver can have significant effects on the received wireless signals (e.g., IEEE 802.11a). Since all wireless signal processing functions could be done completely in software, we can easily capture the two long...
To date, there is only limited research that explicitly exploits the relationships among Action Units and expressions for facial expression recognition. In this paper, we propose an facial expression recognition method through modeling the expression-dependent AU relations. First, the incremental association Markov blanket algorithm is adopted to select crucial action units for a certain expression...
Wind farm modeling is an important research topic, but the traditional mechanism modeling method is difficult to get accurate models. However, performance of the neural network model is superior for identification and approximation of complex nonlinear systems. Especially, the BP network has been widely and successfully used in the engineering field. This paper gives a brief introduction to the BP...
Neural network ensemble is a recently developed technology, which trains a few of neural networks and then combines their prediction results. The generalization ability of an ensemble can be much better than that of a single learner. However, it is time-consuming to train so many neural networks. In order to overcome this disadvantage, MPI (Message Passing Interface) technique was employed to the...
Fold recognition is an important issue in protein structure research. The Rossmann-fold protein that has typical structure is a common kind of alpha/beta protein. The training set, selected from 22 families, is constituted of 79 Rossmann-fold proteins which have less than 25% sequence identity with each other. The hierarchical clustering method according to RMSD is applied and a profile-HMM based...
Neural networks ensemble is a promising tool in the field of structure-activity relationship (SAR). Based on support vector machine (SVM), a new method called RRSE (rough reducts based SVM ensemble) is employed to discriminate between high and low activities of ethofenprox analogous based on the molecular descriptors. By using RRSE, individual SVMs of ensemble model are constructed by projection of...
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