非线性延迟积分微分方程单支方法的散逸性

本文研究了非线性延迟积分微分方程单支方法的散逸性．把G（c3P30）-代数稳定的单支方法应用到以上方程中,得到了在有限维空间和无限维空间的散逸性结果．文章最后,数值试验验证了本文的结论．     

ARCE风险处理计划测量模型的设计与实现

提出用于定量测量风险处理计划有效性的ARCE模型,从理论上证明该模型的正确性.以组织信息安全资产的风险值和已实施控制措施为输入,通过中间变量矩阵得到风险处理计划有效性矩阵的模型量化指标体系.模型实现过程包括风险评估、风险处理、定量测量、安全事件管理和报表5个部分,并给出实施流程.应用结果表明,该模型能准确测量风险处理计...     

具有消息恢复的指定验证者的代理盲签名

设计了一种新的具备消息恢复特性的指定验证者的代理盲签名方案.方案的安全性建立在椭圆曲线离散对数难解性之上,并对其进行了安全性分析.方案在验证签名过程中,消息可恢复出来.另外,方案节省了信息的传输量,有效地降低成本,有广泛的应用价值.     

FDP250K-Ⅱ可编程芯片在卡菱停车场系统中的应用

复杂多串口PCB板的设计具有一定难度,制造成本也较高.随着高性能FPGA在通信、消费电子、汽车电子、工业控制等领域的运用,此局面已有改观.以FDP250K-Ⅱ可编程芯片在“卡菱停车场系统主控制板”上的运用为例,说明FDP250K-Ⅱ芯片的运用可提高系统的集成度和稳定性,缩小PCB板面积、降低系统成本和功耗,从而提高系统的性价比.此外,还可实现部分硬件电路的软件化,及在线实时更新.     

Global exponential stability in Lagrange sense for neutral type recurrent neural networks

In this paper, the global exponential stability in Lagrange sense for continuous neutral type recurrent neural networks (NRNNs) with multiple time delays is studied. Three different types of activation functions are considered, including general bounded and two types of sigmoid activation functions. By constructing appropriate Lyapunov functions, some easily verifiable criteria for the ultimate boundedness and global exponential attractivity of NRNNs are obtained. These results can be applied to monostable and multistable neural networks as well as chaos control and chaos synchronization.     

A belief-rule-based inventory control method under nonstationary and uncertain demand

This paper is devoted to investigating inventory control problems under nonstationary and uncertain demand. A belief-rule-based inventory control (BRB-IC) method is developed, which can be applied in situations where demand and demand-forecast-error (DFE) do not follow certain stochastic distribution and forecasting demand is given in single-point or interval styles. The method can assist decision-making through a belief-rule structure that can be constructed, initialized and adjusted using both manager’s knowledge and operational data. An extended optimal base stock (EOBS) policy is proved for initializing the belief-rule-base (BRB), and a BRB-IC inference approach with interval inputs is proposed. A numerical example and a case study are examined to demonstrate potential applications of the BRB-IC method. These studies show that the belief-rule-based expert system is flexible and valid for inventory control. The case study also shows that the BRB-IC method can compensate DFE by training BRB using historical demand data for generating reliable ordering policy.     

Fuzzy measurable house of quality and quality function deployment for fuzzy regression estimation problem

In present competitive environment, it is necessary for companies to evaluate design time and effort at the early stage of product development. However, there is somewhat lacking in systemic analytical methods for product design time (PDT). For this end, this paper explores an intelligent method to evaluate the PDT. At the early development stage, designers are short of sufficient product information and have difficulty in determining PDT by subjective evaluation. Thus, a fuzzy measurable house of quality (FM-HOQ) model is proposed to provide measurable engineering information. Quality function deployment (QFD) is combined with a mapping pattern of “function → principle → structure” to extract product characteristics from customer demands. Then, a fuzzy support vector regression machine (FSVRM) model is built to fuse data and realize the estimation of PDT, which makes use of fuzzy comprehensive evaluation to simplify structure. In a word, the whole estimation method consists of four steps: time factors identification, product characteristics extraction by QFD and function mapping pattern, FSVRM learning, and PDT estimation. Finally, to illustrate the procedure of the estimation method, the case of injection mold design is studied. The results of experiments show that the fuzzy method is feasible and effective.     

基于IEEE802.15.4的GTS调度算法优化

针对实时无线传感器网络(WSNs)系统对时延敏感的特点,对目前典型的IEEE802.15.4标准中保障时隙(GTS)调度算法进行了改进,提出一种基于时延优先级的GTS分配算法.根据网络微积分原理评估时延约束条件及GTS分配数目,按照优先级顺序响应GTS请求,并动态调整GTS中的时隙数量,确保实时传输和带宽利用率.通过在...     

并行混合遗传算法在车间调度问题的应用

结合先后表编码和完全活动调度概念,设计了基于先后表的完全活动调度算法PLFA,该算法能将可行解与不可行解转化为完全活动调度。并将PLFA算法与遗传算法结合,提出了一种并行混合遗传算法,初始种群由PLFA G-T算法产生,其产生的解都是完全活动调度,采用LOX的交叉算子与基于PLFA G-T算法的变异算子,并使用主从模型的并行遗传算法模型。最后JSP基准实例验证了算法的有效性。