Throught fusion of the mechanism modeling and the neural networks modeling,a compo- nent content soft-sensor,which is composed of the equilibrium calculation model for multi-component rare earth extraction and the err...Throught fusion of the mechanism modeling and the neural networks modeling,a compo- nent content soft-sensor,which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system,is proposed to solve the prob- lem that the component content in countercurrent rare-earth extraction process is hardly measured on-line.An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.展开更多
Focusing on dropping packets attacks in sensor networks, we propose a model of dropping packets attack-resistance as a repeated game based on such an assumption that sensor nodes are rational. The model prevents malic...Focusing on dropping packets attacks in sensor networks, we propose a model of dropping packets attack-resistance as a repeated game based on such an assumption that sensor nodes are rational. The model prevents malicious nodes from attacking by establishing punishment mechanism, and impels sensor networks to reach a collaborative Nash equilibrium. Simulation results show that the devised model can effectively resist the dropping packets attacks（DPA） by choosing reasonable configuration parameters.展开更多
In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth co...In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth component content. The hybrid models were composed of the extraction equilibrium calculation model and the Radial Basis Function (RBF) Neural Network (NN) error compensation model; the parameters of compensation model were optimized by the hierarchical genetic algorithms (HGA). In addition, application experiment research of this proposed method was carried out in the rare earth separation production process of a corporation. The result shows that this method is effective and can realize online measurement for the component content of rare earth in the countercurrent extraction.展开更多
如何有效防治无线传感器网络中的拒绝服务(Denial of Service,DoS)攻击,以保障网络设施的可用性,是一个极具挑战性的安全问题。本文在假设网络节点为理性的基础上,提出了面向重复博弈的DoS攻击限制模型。该模型通过建立攻击检测惩罚机制...如何有效防治无线传感器网络中的拒绝服务(Denial of Service,DoS)攻击,以保障网络设施的可用性,是一个极具挑战性的安全问题。本文在假设网络节点为理性的基础上,提出了面向重复博弈的DoS攻击限制模型。该模型通过建立攻击检测惩罚机制,来降低攻击者的攻击收益以敦促恶意节点的协作,使传感器网络最终达到一个协作的Nash均衡。仿真结果表明,通过合理选择惩戒机制参数,可以有效抵御传感器网络中的DoS攻击。展开更多
基金Supported by National Natural Science Foundation of P.R.China(50474020,60534010,60504006)
文摘Throught fusion of the mechanism modeling and the neural networks modeling,a compo- nent content soft-sensor,which is composed of the equilibrium calculation model for multi-component rare earth extraction and the error compensation model of fuzzy system,is proposed to solve the prob- lem that the component content in countercurrent rare-earth extraction process is hardly measured on-line.An industry experiment in the extraction Y process by HAB using this hybrid soft-sensor proves its effectiveness.
基金the National Defense Basic Research Foun-dation of China (C2720061361)
文摘Focusing on dropping packets attacks in sensor networks, we propose a model of dropping packets attack-resistance as a repeated game based on such an assumption that sensor nodes are rational. The model prevents malicious nodes from attacking by establishing punishment mechanism, and impels sensor networks to reach a collaborative Nash equilibrium. Simulation results show that the devised model can effectively resist the dropping packets attacks（DPA） by choosing reasonable configuration parameters.
文摘In consideration of the online measurement of the component content in rare earth countercurrent extraction separation process, the soft sensor method based on hybrid modeling was proposed to measure the rare earth component content. The hybrid models were composed of the extraction equilibrium calculation model and the Radial Basis Function (RBF) Neural Network (NN) error compensation model; the parameters of compensation model were optimized by the hierarchical genetic algorithms (HGA). In addition, application experiment research of this proposed method was carried out in the rare earth separation production process of a corporation. The result shows that this method is effective and can realize online measurement for the component content of rare earth in the countercurrent extraction.
文摘如何有效防治无线传感器网络中的拒绝服务(Denial of Service,DoS)攻击,以保障网络设施的可用性,是一个极具挑战性的安全问题。本文在假设网络节点为理性的基础上,提出了面向重复博弈的DoS攻击限制模型。该模型通过建立攻击检测惩罚机制,来降低攻击者的攻击收益以敦促恶意节点的协作,使传感器网络最终达到一个协作的Nash均衡。仿真结果表明,通过合理选择惩戒机制参数,可以有效抵御传感器网络中的DoS攻击。
