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Attention deficit/hyperactivity disorder (ADHD) is characterized by hyperactivity, impaired sustained attention, impulsivity, and is usually accompanied by varying degrees of learning difficulties and lack of motor coordination. However, the pathophysiology and etiology of ADHD remain inconclusive so far. Our previous studies have demonstrated that the(More)
Fulfilling system integrated requirement of unitive resource management is the key issue of urban rail transit safety monitoring system. To solve this problem, firstly, this paper analyses the value chain of information flow. Then, it proposes alliance structure model and assesses method of compositive safety system. A model is also established for choosing(More)
Based on primary theory of wavelet packet transformation, the signal of rolling bearing fault was processed, The signal characteristic can be effective withdrawn from the actual signal after wavelet packet decomposition and restructuring, Then, using Fourier transform, it presents an approach to get the frequency of fault signal. The experimental result(More)
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Neural Networks(GA-ANN) overcomes BP neural network's fault of slow convergence, long hours of training, and falling into the local minimum point. And First, the signal is processed(More)
This paper presents an approach to model the nonlinear dynamic behaviors of the Automatic Depth Control Electrohydraulic System (ADCES) of a certain mine-sweeping weapon using Radial Basis Function (RBF) neural networks. In order to obtain accurate RBF neural networks efficiently, a hybrid learning algorithm is proposed to train the neural networks, in(More)
Avoiding conflicting between large numbers of trains is a key problem to train scheduling services in busy rail network. Verifying train group operation conflict within and between multi-station satisfying time constraints is the basis of the construction and coordination on train schedules and plans. While, for many rail networks, the conflicts of proposed(More)
Urban traffic state analysis plays an important role in the solution of traffic congestion problem. To identify traffic state effectively is a foundational work for improving traffic condition and preventing traffic congestion. In this paper, an index system of traffic state was established, it through analysis of the multi-source and heterogeneous data(More)
With the rapid development of transportation industry, more and more attention was paid to its management. The construction and development of low-carbon transportation system is so important a task. Based on the existing problems in the transportation system, as well as the actual situation in Xinjiang, the paper proposed an idea of low-carbon in(More)