混合匹配规则的否定选择算法

针对目前基于免疫的检测器生成算法中,匹配规则单一造成的检测器质量低下的问题,提出一种基于混合匹配规则的否定选择算法,采用海明距离整体匹配的各段内R连续比特匹配的否定选择算法,即混合匹配否定选择算法,对算法的性能进行了分析．实验结果表明,该算法能够高效地产生所需要的检测器,提高了检测率,且降低了误报率．     

Rheological behavior of reactive blending of epoxidized natural rubber with cassava starch and epoxidized natural rubber with natural rubber and cassava starch

Epoxidized natural rubbers (ENR‐25 and ENR‐45) were prepared using the performic epoxidation method. Two‐component (ENR–cassava starch) and three‐component (ENR–NR–cassava starch) blends were prepared. ENR‐25 and ENR‐45 were blended with various quantities of gelatinized cassava starch in the latex state. The pure ENR exhibited lower shear stress and shear viscosity than those of the blends with cassava starch. Furthermore, the shear stress and shear viscosity were increased with an increase in the cassava starch concentration. The chemical interaction between the epoxide groups in the ENR and the hydroxyl groups in the cassava starch molecules might be the reason for the increasing trends of the shear stress and shear viscosity. The blends are classified as compatible blends because of the strong chemical bonding between different phases. SEM micrographs were used to clarify the compatibility. Power law behavior with pluglike flow profiles was observed for all sets of ENR–NR–cassava starch blends. Very low power law index values (<0.34) and highly pseudoplastic fluid behavior were also observed. The log additive rule was applied to plots of zero shear viscosity (consistency index) and the shear viscosity versus the concentration of ENR‐25. Positive deviation blending was observed, which indicates compatible blends. © 2003 Wiley Periodicals, Inc. J Appl Polym Sci 91: 1752–1762, 2004     

基于软分区的地区电网自动电压控制系统

介绍贵港地区电网基于软分区的三级自动电压控制（AVC）系统,并对该系统的三级控制原理及区域变电站的控制规则进行说明。     

立方型状态方程结合Eyring理论在液体混合物黏度计算中的应用

Cubic equations of state (EOS) have been combined with the absolute rate theory of Eyring to calculate viscosities of liquid mixtures. A modified Huron Vidal gE-mixing rule is employed in the calculation and in comparison with the van Laar and the Redlich-Kister-type mixing rule. The EOS method gives an accurate correlation of liquid viscosities with an overall average deviation less than 1% for 67 binary systems including aqueous solutions. It is also successful in extrapolating viscosity data over a certain temperature range using parameters obtained from the isotherm at a given temperature and in predicting viscosities of ternary solutions from binary parameters for either polar or associated systems.     

利用置信规则库构建WSN节点故障检测模型

在无线传感器网络(wireless sensor network, WSN)节点故障检测领域的研究过程中,故障检测准确率会受节点数据的不确定性和专家知识模糊性的影响。针对这一问题,本文提出了一种基于置信规则库(belief rule base, BRB)的WSN节点故障检测方法。首先,根据WSN工作原理及节点工作特性描述WSN节点故障检测过程;然后,从空间和时间2个维度对节点数据提取特征,建立基于空间和时间相关性的WSN节点故障检测模型;最后,利用Intel Lab Data无线传感器数据集进行案例研究以验证模型的有效性。结果证明,本文方法能够统筹利用专家知识和节点数据实现WSN节点故障检测。     

一种改进的AprioriTid算法

针对经典Apriori算法多次扫描数据库产生I/O负载影响运行效率等问题,在对Apriori算法的原理及其相关改进算法研究的基础上,提出了一种基于压缩集的改进Apriori算法,即Apriori Tid_M算法.通过有效的裁剪方法减少无效项集的产生,减少候选项集的数量,从而提高算法的效率.仿真实验表明,在支持度相同但数据量不同,以及数据量相同但支持度不同这两种条件下,Apriori Tid_M算法在性能上和运算时间上都比Apriori算法有很大程度的改善.     

近距多座并行桥梁墩前壅水研究

为了研究近距多座并行桥梁的壅水规律,在分析了单座桥梁的壅水规律后,类比应用到两座并行桥梁壅水的研究中且得到相应的规律,然后基于这些成果可达到研究目的。研究结果表明,如果被动影响桥梁位于主动影响桥梁的下游,则主动影响桥梁的壅水除了受自身阻水影响外,还要附加上被动影响桥梁的壅水对其带来的正影响作用;反之,则会受到被动影响桥梁的壅水对其带来的负影响,且影响系数都会随着两桥的桥间距增大而减小。假设并行桥梁的壅水仅仅两两影响时会形成修正壅水,且该修正壅水对其它桥梁产生重复的二次影响后会无限接近真实壅水。在这个前提下,总结出多桥并行时各桥壅水的经验公式。     

细胞自动机：简单的规则，复杂的行为

细胞自动机是一种时间、空间与状态都离散的数学模型。回顾了初等细胞自动机模型的应用及其符号动力学刻画的相关文献,在大量统计性质和计算机模拟基础上,着重分析具有鲁棒Bernoulli移位特征的细胞自动机规则的一些符号动力学性质,揭示了细胞自动机的简单规则中蕴含着复杂、混沌的非线性动力学特性。这些结果丰富了细胞自动机的理论基础,也将促进符号动力系统的理论和应用的研究。     

电动汽车跨区域充换电计量计费清分结算研究

为确保电动汽车跨区域充换电顺利完成电费结算,研究了跨区域充换电的交易流程,并提出一种成本清分和收入清分的方法,并建立了运营商运营成本模型和客户支付充换电的费用单价模型.在此基础上,设计开发了一套清分结算系统,并对上述两个模型的实用性加以论证,为实施跨区域充换电提供参考.     

A hybrid cuckoo search algorithm with feasibility-based rule for constrained structural optimization

Constrained optimization problems are very important as they are encountered in many science and engineering applications. As a novel evolutionary computation technique, cuckoo search （CS） algorithm has attracted much attention and wide applications, owing to its easy implementation and quick convergence. A hybrid cuckoo pattern search algorithm （HCPS） with feasibility-based rule is proposed for solving constrained numerical and engineering design optimization problems. This algorithm can combine the stochastic exploration of the cuckoo search algorithm and the exploitation capability of the pattern search method. Simulation and comparisons based on several well-known benchmark test functions and structural design optimization problems demonstrate the effectiveness, efficiency and robustness of the proposed HCPS algorithm.