在车载社交网(Vehicular Social Network,VSN)中,车辆移动速度快且行驶方向难以预测,导致网络拓扑结构不断变化,通信链路时常中断,因此在进行消息传输时丢失率和传输延迟都居高不下。为了解决上述问题,针对VSN提出了一种基于传递概率的...在车载社交网(Vehicular Social Network,VSN)中,车辆移动速度快且行驶方向难以预测,导致网络拓扑结构不断变化,通信链路时常中断,因此在进行消息传输时丢失率和传输延迟都居高不下。为了解决上述问题,针对VSN提出了一种基于传递概率的路由算法(ProSim),利用节点间的机会式相遇来进行消息的传输,根据车辆间的社交关系设计VSN路由算法以弥补通信链路中断带来的高丢失率和高延迟;选取了车辆节点的相遇概率和社会相似度这两种社交关系,对其进行量化并计算传递概率。使用真实的道路数据进行仿真,实验结果表明,ProSim与直接传输算法(Direct Delivery,DD)、Epidemic算法以及PRoPHET算法这3种经典路由算法相比,可以在控制传输开销和传输延迟的前提下,有效提高消息的传输率。展开更多
Microbial fuel cell(MFC)is a kind of promising clean power supply energy equipment,but serious nonlinearities and disturbances exist when the MFC runs,and it is an important topic to guarantee that the output voltage ...Microbial fuel cell(MFC)is a kind of promising clean power supply energy equipment,but serious nonlinearities and disturbances exist when the MFC runs,and it is an important topic to guarantee that the output voltage reaches the setting value quickly and smoothly.Regulating the feeding flow is an effective way to achieve this goal,and especially,the satisfactory results can be achieved by regulating anode feeding flow.In this work,a feedforward fuzzy logic PID algorithm is proposed.The fuzzy logic system is introduced to deal with the non-linear dynamics of MFC,and corresponding PID parameters are calculated according to defuzzification.The magnitude value of the current density is used to simulate the value of the external load.The simulation results indicate that the MFC output voltage can track the setting value quickly and smoothly with the proposed feedforward fuzzy logic PID algorithm.The proposed algorithm is more efficient and robust with respect to anti-disturbance performance and tracking accuracy than other three control methods.展开更多
With growing computational power, the first-order wave-maker theory has become well established and is widely used for numerical wave flumes. However, existing numerical models based on the first-order wave-maker theo...With growing computational power, the first-order wave-maker theory has become well established and is widely used for numerical wave flumes. However, existing numerical models based on the first-order wave-maker theory lose accuracy as nonlinear effects become prominent. Because spurious harmonic waves and primary waves have different propagation velocities, waves simulated by using the first-order wave-maker theory have an unstable wave profile. In this paper, a numerical wave flume with a piston-type wave-maker based on the second-order wave-maker theory has been established. Dynamic mesh technique was developed. The boundary treatment for irregular wave simulation was specially dealt with. Comparisons of the free-surface elevations using the first-order and second-order wave-maker theory prove that second-order wave-maker theory can generate stable wave profiles in both the spatial and time domains. Harmonic analysis and spectral analysis were used to prove the superiority of the second-order wave-maker theory from other two aspects. To simulate irregular waves, the numerical flume was improved to solve the problem of the water depth variation due to low-frequency motion of the wave board. In summary, the new numerical flume using the second-order wave-maker theory can guarantee the accuracy of waves by adding an extra motion of the wave board. The boundary treatment method can provide a reference for the improvement of nonlinear numerical flume.展开更多
文摘在车载社交网(Vehicular Social Network,VSN)中,车辆移动速度快且行驶方向难以预测,导致网络拓扑结构不断变化,通信链路时常中断,因此在进行消息传输时丢失率和传输延迟都居高不下。为了解决上述问题,针对VSN提出了一种基于传递概率的路由算法(ProSim),利用节点间的机会式相遇来进行消息的传输,根据车辆间的社交关系设计VSN路由算法以弥补通信链路中断带来的高丢失率和高延迟;选取了车辆节点的相遇概率和社会相似度这两种社交关系,对其进行量化并计算传递概率。使用真实的道路数据进行仿真,实验结果表明,ProSim与直接传输算法(Direct Delivery,DD)、Epidemic算法以及PRoPHET算法这3种经典路由算法相比,可以在控制传输开销和传输延迟的前提下,有效提高消息的传输率。
基金Project(61563032)supported by the National Natural Science Foundation of ChinaProject(18JR3RA133)supported by Gansu Basic Research Innovation Group,China
文摘Microbial fuel cell(MFC)is a kind of promising clean power supply energy equipment,but serious nonlinearities and disturbances exist when the MFC runs,and it is an important topic to guarantee that the output voltage reaches the setting value quickly and smoothly.Regulating the feeding flow is an effective way to achieve this goal,and especially,the satisfactory results can be achieved by regulating anode feeding flow.In this work,a feedforward fuzzy logic PID algorithm is proposed.The fuzzy logic system is introduced to deal with the non-linear dynamics of MFC,and corresponding PID parameters are calculated according to defuzzification.The magnitude value of the current density is used to simulate the value of the external load.The simulation results indicate that the MFC output voltage can track the setting value quickly and smoothly with the proposed feedforward fuzzy logic PID algorithm.The proposed algorithm is more efficient and robust with respect to anti-disturbance performance and tracking accuracy than other three control methods.
基金financially supported by the National Natural Science Foundation of China(Grant Nos.51579038,51739010,51490672,51879037)
文摘With growing computational power, the first-order wave-maker theory has become well established and is widely used for numerical wave flumes. However, existing numerical models based on the first-order wave-maker theory lose accuracy as nonlinear effects become prominent. Because spurious harmonic waves and primary waves have different propagation velocities, waves simulated by using the first-order wave-maker theory have an unstable wave profile. In this paper, a numerical wave flume with a piston-type wave-maker based on the second-order wave-maker theory has been established. Dynamic mesh technique was developed. The boundary treatment for irregular wave simulation was specially dealt with. Comparisons of the free-surface elevations using the first-order and second-order wave-maker theory prove that second-order wave-maker theory can generate stable wave profiles in both the spatial and time domains. Harmonic analysis and spectral analysis were used to prove the superiority of the second-order wave-maker theory from other two aspects. To simulate irregular waves, the numerical flume was improved to solve the problem of the water depth variation due to low-frequency motion of the wave board. In summary, the new numerical flume using the second-order wave-maker theory can guarantee the accuracy of waves by adding an extra motion of the wave board. The boundary treatment method can provide a reference for the improvement of nonlinear numerical flume.
