基于粗糙集神经网络的燃煤发热量预测模型

通过对粗糙集和BP神经网络的分析研究,以专家系统为核心,提出了一种基于粗糙集神经网络的燃煤发热量预测模型;选取影响燃煤发热量的6个参数,利用粗糙集理论对原始信息表进行约简操作,去除冗余的属性和属性值,得到约简规则,并将其作为BP神经网络的输入,对燃煤发热量进行预测;通过分析对比线性回归方法和粗糙集神经网络方法,说明该模型能有效地简化神经网络的网络结构,减少网络的训练步数,提高网络的学习效率,能够较准确地对燃煤发热量进行预测。     

基于orCAD PSpice的电路故障建模方法研究

结合通信装备维修多样性和时效性的实际,针对没有具体图纸或资料不全的情况下设备故障诊断和维修中存在的困难,提出了一种基于orCAD PSpice故障诊断的建模方法;该方法通过分析设备工作原理并结合故障现象逐步缩小故障范围,通过对比借鉴相关设备资料建立通用的故障模型,通过搭建典型工作电路并用orCAD PSpice仿真进行通用模型的验证,从而为设备在实际使用中的故障定位和维修提供一种有效的解决思路。     

小灵通基站电源监控系统的电磁干扰设计

为了保证小灵通基站电源的可靠性,业界提出了通过ISDN通信线路进行信号和电源同时传输的方案,即直流电源远供;由于监控单元是小灵通远供电源系统的控制核心,因此,监控模块能够稳定和可靠地工作是保证远供电源系统可靠运行的关键;而通信局站中通信设备众多,电磁环境相对比较恶劣,因此对设备的电磁兼容性要求也较高;分析了小灵通基站电源监控模块的功能与结构,并从原理图设计、PCB设计及外壳设计方面给出了解决电磁干扰的方案;实践证明,该监控系统运行稳定可靠,取得了预期效果,具有较高的实用价值。     

基于单片机的智能刹车控制系统设计与实现

为了避免误把油门当刹车的操作,减少交通事故发生率,设计实现了基于单片机的智能刹车控制系统;系统以STC89C58RD+单片机为核心,首先对踏板的加速信号进行采集,经循环判定阈值方法处理后输出信号,一部分输入到STC13C4053AD产生PWM信号驱动直流电机,另一部分输入RT13864M和ISD35130,模拟感官效果,并给出了系统的硬件电路和软件设计流程;测试证明,该系统能够对误踩油门进行有效控制,这对减少和避免交通事故,保障行车安全具有非常重要的现实意义和应用价值。     

基于CPLD的ARINC429通信板卡设计

ARINC429是航空电子设备之间数据传输的航空工业标准;针对航空电子设备之间的数据传输,介绍了基于CPLD的ARINC429标准通信板卡的硬件组成原理及软件设计;采用C8051F005单片机作为板内CPU来完成控制数据收发和数据处理,在一块板上实现了8收4发的功能,并且带有RS485通信接口,可接收上位机的命令并与其进行交互通信;具有易扩展、实时性好、可靠性高等特点。已在半物理仿真实验系统中成功应用。     

高/低通复合多通道系统辨识的测试信号设计

从频域的角度研究了二进制多频序列(Muhifrequency Binary Sigal).从该信号的基本特点入手,通过对信号变化疏密的设计,调整信号的频谱分布.当已知待测系统的频谱集中在某些频段时,选取适当的二进制多频序列信号,能使测试信号的频谱也集中在那些频段,能充分地利用测试信号.大大提高了信噪比.设计出高频和低频复合的二进制多频序列信号.应用于一个通道是高通的,另一个通道是低通的二输入系统,能同时充分激励2个通道,取得较好的辩识效果.仿真算例可以看出有效性.     

TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data

Statistical analysis of air mass back trajectories combined with long-term ambient air pollution measurements are useful tools for source identification. Using these methods, the geographic information system (GIS) based software, TrajStat, was developed to view, query, and cluster the trajectories and compute the potential source contribution function (PSCF) and concentration weighted trajectory (CWT) analyses when measurement data are included.     

Inductive semimodules and the vector modules over them

The notion of an inductive semimodule over an ordered *-semiring is introduced and some related properties are investigated. Inductive semimodules are extensions of several important algebraic structures such as Kleene modules, Kleene algebras and inductive *-semirings. We prove that an inductive semimodule over an ordered *-semiring K is a Kleene module if and only if K is a Kleene algebra. Moreover, we establish that the vector module of an inductive semimodule over an ordered Conway semiring is again an inductive semimodule over the matrix semiring. Consequently, in an inductive semimodule over an ordered Conway semiring, least solutions to linear inequation systems can be denoted by linear expressions, avoiding the least fixed point operator. In addition, we also introduce a related notion called weak inductive semimodules, and propose several open problems on them.

A hybrid clustering and graph based algorithm for tagSNP selection

TagSNP selection, which aims to select a small subset of informative single nucleotide polymorphisms (SNPs) to represent the whole large SNP set, has played an important role in current genomic research. Not only can this cut down the cost of genotyping by filtering a large number of redundant SNPs, but also it can accelerate the study of genome-wide disease association. In this paper, we propose a new hybrid method called CMDStagger that combines the ideas of the clustering and the graph algorithm, to find the minimum set of tagSNPs. The proposed algorithm uses the information of the linkage disequilibrium association and the haplotype diversity to reduce the information loss in tagSNP selection, and has no limit of block partition. The approach is tested on eight benchmark datasets from Hapmap and chromosome 5q31. Experimental results show that the algorithm in this paper can reduce the selection time and obtain less tagSNPs with high prediction accuracy. It indicates that this method has better performance than previous ones.     

Output feedback variable structure control of uncertain linear systems in the presence of actuator dynamics

A new output feedback variable structure control scheme is developed based on a novel passivity idea. This scheme may practically stabilize a class of higher‐relative‐degree uncertain linear systems, and realize output tracking and disturbance attenuation as well. The controller is composed of linear filters and a single relay, without employing real‐time exact differentiators. Under this framework, we also explain how actuator dynamics affect the closed loop behavior. A simulation example shows the simplicity and efficiency of this method. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society