Data fusion based on fuzzy measures

Choquet integral based on fuzzy measure is a very popular data fusion approach. A major problem in applying the Choquet integral is how to determine a large number of fuzzy measures as the number of attributes increases. The λ-fuzzy measure proposed by Sugeno is a powerful method to resolve this problem. However, the modeling ability of the λ-fuzzy measure is too limited to satisfy actual requirements. In this paper, an extended λ-fuzzy measure is proposed using Shapley value index, and the limitation of the λ-fuzzy measure is significantly overcome under little additional computational loads. The extended fuzzy measure has stronger modeling power than the λ-fuzzy measure, straightforwardly representing interaction among attributes. We apply the extended fuzzy measure to an artificial data set and a real dataset in an iron-steel plant. The results verify the usefulness of the extended fuzzy measure compared with other main existing methods.     

An ERP study for the degrees of the difficulty in visual search

The present study mainly probed the relationships between ERP components and the degrees of difficulty in visual search. Three experimental and one controlled conditions were randomly selected. Results showed that the P1, N1, and P2 amplitudes and latencies had no significant differences among the three experimental and one controlled conditions, and the ERP waveforms of low perceptual load of visual search were different from that of high perceptual load. These results might indicate that the latencies and amplitudes of initial P1, N1 and P2 in high and low perceptual load conditions were almost the same. The ERP waveforms of parallel search were very different from that of serial search, and the ERP waveforms of serial search were very similar. The P3 amplitudes increased as the degrees of the difficulty in visual search decreased.     

基于元胞蚁群的主动队列管理算法研究

针对网络拥塞现象,基于弃头方式提出了一种新的主动队列管理算法.该算法首先利用元胞蚁群建立了实际网络队长最大值的计算方法,同时通过判断网络队长与阈值的关系,采取从队列头部丢弃N个数据包的方法.最后,以长相关数据进行仿真实验,对比分析了DFCA与RED、DROP-TAIL之间的优劣,结果表明该算法具有较好的适应性.     

应用正交设计与BP网络优化制备改性活性炭

采用FeCl2·4H2O和KMnO4对活性炭进行改性.为获取高效的三价砷去除率,运用正交实验设计结合BP神经网络优化活性炭的改性方案.以FeCl2·4H2O和KMnO4的摩尔总浓度、FeCl2·4H2O和KMnO4物质的量比、水浴温度、干燥温度为正交实验设计因子,每个因子各取5个水平,以三价砷的去除率为目标因子,编制4因素5水平正交设计表.结合BP网络强大的函数拟合功能,以正交设计表中4因素为网络输入层,以三价砷去除率为网络输出层,建立BP神经网络模型,并通过该模型进行预测和优选,得到最佳的活性炭改性方案.即FeCl2·4H2O和KMnO4的摩尔总浓度为0.12mol·L-1,物质的量比为3∶1,水浴温度45℃,干燥温度190℃.此时三价砷的去除率为0.765,与网络预测值0.788相差3.00%.运用X射线衍射及SEM电镜扫描技术对最佳条件下的改性活性炭进行表面性能研究,并测定活性炭表面的铁锰的负载量,为进一步深入研究打下基础.     

原生质体膜的发育特征

通过对黑麦(Secale Cerenle.L.)、向日葵(Helianthus Annuus.L)幼苗叶片的分段取材,利用扫描电镜技术研究了植物叶肉原生质体质膜的发育特征。我们发现(从叶片基部开始到叶尖)双子叶、单子叶植物原生质体的质膜发育具有相似的规律性。原生质体幼龄时,质膜表面出现了各种突起组成的球状“微区”,随着细胞的成熟,质膜表面逐渐变得多皱,进而光滑,其方式在单、双子叶植物略有不同。本文详细地描述了质膜的形态发育特征,同时讨论了这些特征与叶肉原生质体其它特征的关系。     

多变量自校正控制计算机辅助设计软件系统

本文介绍了一个可帮助用户进行多变量自校正控制系统设计,而使用户不必了解算法细节的计算机辅助设计(CAD)软件系统;它既包括一些经典的自校正控制算法,又引入了一些近年来新研究的成果。使用情况表明,该系统算法先进,使用方便,控制效果较好,是一个实用的软件工具。     

可拓凸集

本文讨论了可拓凸集的若干性质。同时,给出了可拓凸集的分离度和严格分离度的定义,以及凸可拓集的分离度和分离定理,引入了可拓线性内点的概念,得出了线性空间中可拓凸集的分离定理和严格分离定理,为解决现实世界中的不相容问题奠定了基础。     

一种用于高压测试的电阻分压器研究

为有效监测电容储能脉冲功率源装置中晶闸管从触发到导通时间内两端的电压变化情况,设计出一种分压器+数字存储示波器电压采集方案。建立电阻型分压器的集中参数模型。从理论上分析杂散电感、对地杂散电容、纵向电容等分布参数对低压输出波形幅值、响应时间、相位误差的影响。并通过软件仿真分析。根据分析结果提出设计分压器的相关参数,采用玻璃釉膜电阻制作分压器。经过实验验证,该分压器方案能实时、准确地监测电容储能脉冲功率源中晶闸管两端的阶跃高压信号。