Learn More
Energy efficiency is paid more and more attention in urban rail transit systems. Optimization on Automatic Train Operation (ATO) is important to energy-efficient operation of trains. ATO generates the recommended speed curve based on the railway line parameters, the scheduled time table, and the vehicle conditions. The control strategy of ATO makes the(More)
—In this paper, we propose a model of mobile cognitive radio network after fully considering the analysis method of network connectivity based on random way-point (RWP) mobility scheme. The closed-form solution of connectivity probability has been derived to evaluate the network performance in this model. And it shows that the network connectivity is(More)
BACKGROUNDS AND OBJECTIVE Several clinical trials have shown that grape seed extract can reduce blood pressure, but the results are often irreproducible. We therefore sought to systematically evaluate the impact of grape seed extract treatment on the changes of systolic/diastolic blood pressure (SBP/DBP) by meta-analyzing available randomized controlled(More)
In urban rail transit system, utilization of the regenerative energy of trains is quite an efficient way for energy saving. This paper aims to reduce the total energy consumption of trains in a whole day by optimal utilization of the regenerative energy. The regenerative energy is generated by the braking trains, and in the same time used by the(More)
Amid concerns about rising energy prices and environmental issues, the optimisation of automatic train operation (ATO) is significant for energy-efficient operation of trains. Different from the previous researches, this paper presents a more accurate model of the train energy consumption by considering the control strategy of ATO. It then proposes two(More)
In this paper, we propose a model of mobile cognitive radio network after fully considering the analysis method of network connectivity based on Random Way-point (RWP) mobility scheme in cognitive radio network. The closed formula of connectivity probability has been derived to evaluate the network connectivity in this model. And it shows that the network(More)
Exponential correlated random variables are generated by stochastic differential equations (SDEs), which are described by Markov diffusion processes. Under the assumption of ergodicity of stochastic process, the stationary distribution of Markov diffusion process is introduced, which is determined by drift and diffusion coefficient. We choose the drift(More)