基于单接收头的超声波多目标测距

为了使超声波传感器能在动态环境下定位,要求单超声波接收头能测量多个目标.首先分析了超声波发射头产生的超声波特点,据此推导出接收信号的波形表达式.其次根据接收信号特点,系统标定时用接收信号包络峰值的0.5倍作阈值,而测量时用小阈值,以防止距离信息丢失.最后用C8051F021单片机设计了单接收头多目标测距系统.在2目标与接收头距离之差大于30 cm以上时能较精确地测量出2个距离.     

莱钢中型型钢轧机过程控制计算机系统

简要介绍莱钢中型型钢生产线的工艺流程 ,重点描述型钢轧机过程控制计算机硬件和软件系统的构成、特性和作用。该系统功能强大 ,投入运行后 ,大大提高了生产效率 ,能完全满足生产的需要。     

具备历史借鉴能力的软划分聚类模型

在数据稀少或失真等场景下,传统软划分聚类算法无法获得满意的聚类效果。为解决该问题,以极大熵聚类算法为基础,基于历史知识利用的途径,提出两种新的具备历史借鉴能力的软划分聚类模型(分别简称SPBC-RHK-1和SPBC-RHK-2)。SPBC-RHK-1是仅借鉴历史类中心的基础模型,SPBC-RHK-2则是以历史类中心和历史隶属度相融合为手段的高级模型。通过历史知识借鉴,两种模型的聚类有效性均得到有效提高,比较而言具备更高知识利用能力的SPBC-RHK-2模型在聚类有效性和鲁棒性上具有更好的表现。由于所用历史知识不暴露历史源数据,因此两种方法还具有良好的历史数据隐私保护效果。最后在模拟数据集和真实数据集上的实验验证了上述优点。     

On-line control flow error detection using relationship signatures among basic blocks

Computer systems operating in space environment are subject to different radiation phenomena, whose effects may lead to a control flow fault occurring in software system, which can cause unpredictable behaviors of computer-based systems. According to the specialty of space environment, We propose a technique called RSCFC (Relationship Signatures for Control Flow Checking) which is based on the partition of programs into basic blocks. Firstly, it exploits the relationship among the blocks, then assigns a signature, into which the relationship is coded, to each basic block. Control flow faults are detected through taking AND operation between the run-time signature and the location info of the current block with extra instructions induced at the beginning and the end of each block. A fault injection experiment was performed with several C benchmark programs. The result suggests that about 33% (20.7-68.8%) of the injected branching faults produced undetected incorrect outputs without RSCFC; however, with RSCFC, the above number declines to 11% (2.8-20.4%). Compared with previous techniques, RSCFC has the characteristics of both high fault coverage and low memory and performance overhead.     

基于差分进化支持向量机的移动机器人可通过度预测

提出了一种移动机器人可通过度预测方法.给出了基于相对震动强度的可通度描述.通过提取典型地表图像的色彩和纹理特征并测量机器人通过该地表的相对震动强度建立训练样本集.使用差分进化算法优化支持向量机模型参数形成差分进化支持向量机对训练样本和相对震动强度进行拟合.在移动机器人运行过程中,线性分割前方地表图像形成预测子区域,通过...     

网络通信过程研究

在研究网络数据包的侦听技术的基础上,设计了一个网络通信分析与演示系统,对截获的数据包,既可以进行协议分析,通过直观的形式再现网络通讯的过程,也可以保存下来,便于以后分析和研究.     

Solving the generalized Sylvester matrix equation AV +BW = VF via Kronecker map

This note considers the solution to the generalized Sylvester matrix equation AV ＋ BW = VF with F being an arbitrary matrix, where V and W are the matrices to be determined. With the help of the Kronecker map, an explicit parametric solution to this matrix equation is established. The proposed solution possesses a very simple and neat form, and allows the matrix F to be undetermined.     

Master‐slave synchronization for delayed Lur'e systems using time‐delay feedback control

This paper deals with the problem of designing delayed feedback controllers of master‐slave synchronization for Lur'e systems with time‐variant delay (0≤τ₀≤τ(t)≤τ_m). Through partitioning the intervals [0, τ₀] and [τ₀, τ_m], respectively, and choosing two augmented Lyapunov‐Krasovskii functionals(LKFs), two delay‐dependent synchronization criteria are formulated in the form of linear matrix inequalities (LMIs), in which the conservatism can be greatly reduced by thinning the partitioning of delay intervals and employing convex combination. Thus the sufficient conditions can be derived for the existence of delayed feedback controllers, and the controller gain matrices can be achieved by solving the established LMIs. Finally, three numerical examples are given to illustrate the presented synchronization schemes. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

一类新颖的粒子群优化算法

粒子群优化(PSO)是一类有效的随机全局优化技术。它利用一个粒子群搜索解空间,每个粒子表示一个被优化问题的解,通过粒子间的相互作用发现复杂搜索空间中的最优区域。提出一类新颖的PSO算法,该算法在基本PSO算法的粒子位置更新公式中增加了一个积分控制项。积分控制项根据每个粒子的适应值决定粒子位置的变化,改善了PSO算法摆脱局部极小点的能力。另外,该算法增加了限制搜索空间范围的机制,这对某些函数优化问题是必需的。用5个基准函数做的对比实验结果显示,该算法优于基本PSO算法以及自适应修改惯性因子的PSO算法。     

基于自适应加权与LZW的WSNs层次式数据融合算法

为了兼顾提高数据采集精度与效率的同时有效降低传感器节点能耗,提出了一种基于自适应加权与LZW的层次式数据融合算法.传感器簇头节点对传感器节点发送的数据进行自适应加权处理,估计出均方误差最小时的值,簇头节点将处理后的数据采用LZW算法以一定的信息量压缩后再进行数据的传输.仿真表明,该层次式融合算法提高了数据采集的精度并有...