The effect of banner animation on fixation behavior and recall performance in search tasks

Previous findings suggested that banner ads have little or no impact on perceptual behavior and memory performance in search tasks, but only in browsing paradigms. This assumption is not supported by the present eye-tracking study. It investigates whether task-related selective attention is disrupted depending on the animation intensity of banner ads when users are in a search mode as well as the impact of banner animation on perceptual and memory performance.     

On the structure of systematic prefix codes

Systematic prefix codes play an important role in coding theory, we relate them with the problem of the partition of a free (sub-) monoid into two free sub-monoids. We show too that among the dual codes of a systematic prefix code A there exists one and only one which appears in the automaton recognizing A ^*. The characterization of this automaton and some corollaries stated here will allow us to show in further note that systematic prefix codes are involved in the structure of any regular prefix code. Work done under CNR contract No. R-l7-02-417-0-A.     

Convergence and stability of numerical methods with variable step size for stochastic pantograph differential equations

The stochastic pantograph equations (SPEs) are very special stochastic delay differential equations (SDDEs) with unbounded memory. When the numerical methods with a constant step size are applied to the pantograph equations, the most difficult problem is the limited computer memory. In this paper, we construct methods with variable step size to solve SPEs. The analysis is motivated by the example of a mean-square stable linear SPE for which the Euler–Maruyama (EM) method with variable step size fails to reproduce this behaviour for any nonzero timestep. Then we consider the Backward Euler (BE) method with variable step size and develop the fundamental numerical analysis concerning its strong convergence and mean-square linear stability. It is proved that the numerical solutions produced by the BE method with variable step size converge to the exact solution under the local Lipschitz condition and the Bounded condition. Furthermore, the order of convergence p=½ is given under the Lipschitz condition. The result of the mean-square linear stability is given. Some illustrative numerical examples are presented to demonstrate the order of strong convergence and the mean-square linear stability of the BE method.     

一类不确定离散时间系统的积分滑模控制

针对一类同时存在匹配和非匹配不确定性的离散时间系统,提出一种基于幂次函数的离散积分滑模控制方法.理论分析表明,所提出的方法可以消除离散积分滑模控制系统的抖振,而且能够保证对系统的匹配和非匹配不确定性具有强鲁棒性.在系统不确定性的界未知的情况下,通过引入一步延时干扰估计完成了控制器的设计,并给出了闭环系统稳定性证明.仿真结果验证了所提出方法的有效性.     

混合编码和声搜索算法在动态优化中的应用

采用混合双重编码方法,提出一种混合编码二进制和声搜索算法HBHSA,用以求解动态位匹配问题和时变背包问题。仿真结果表明,与DS_BPSO、HBDE和PDGA算法相比,HBHSA具有更好的鲁棒性和通用性,在动态环境中的搜索能力和对最优解的跟踪能力更优。     

采用双折线步方法的傅里叶神经网络

目前神经网络已经成为解决非线性系统辨识问题的一类有效的方法,但是常用的多层感知器存在网络稳定性差、收敛速度慢的问题.在多层感知器和傅里叶级数基础上提出的傅里叶神经网络具有较好的泛化性、模式识别能力,但其学习算法主要采用最速下降法,易产生陷入局部极小,学习速度慢等问题.提出一种采用双折线步方法的傅里叶神经网络,避免了局部极小问题,且具有二阶收敛速度.通过相应的数值算例验证新算法的性能,并应用于非线性系统的识别问题中,其结果和几类经典的神经网络算法做了相应的对比和分析.     

一种嵌入式运动控制系统的硬件设计

运动控制技术是制造业中的一项重要技术,它的发展将极大地提高现代制造业的整体水平。本文分析了在工业运动控制器中经常用到的关键技术,并设计了一套嵌入式运动控制系统的硬件结构。     

SA-BFSN:一种自适应基于密度聚类的算法

针对BFSN算法需要人工输入参数r和λ的缺陷,提出了一种自适应确定r和λ的SA-BFSN聚类方法。该方法通过Inverse Gaussian拟合判断r参数,通过分析噪声点数量的分布特征选择合适的λ值。算法测试表明,使用SA-BFSN无需人工输入参数,能够实现聚类过程的全自动化,能够有效处理任意形状、大小和密度的簇。     

Dynamic Response Analysis of Fuzzy Stochastic Truss Structures under Fuzzy Stochastic Excitation

A novel method (Fuzzy factor method) is presented, which is used in the dynamic response analysis of fuzzy stochastic truss structures under fuzzy stochastic step loads. Considering the fuzzy randomness of structural physical parameters, geometric dimensions and the amplitudes of step loads simultaneously, fuzzy stochastic dynamic response of the truss structures is developed using the mode superposition method and fuzzy factor method. The fuzzy numerical characteristics of dynamic response are then obtained by using the random variable’s moment method and the algebra synthesis method. The influences of the fuzzy randomness of structural physical parameters, geometric dimensions and step load on the fuzzy randomness of the dynamic response are demonstrated via an engineering example, and Monte-Carlo method is used to simulate this example, verifying the feasibility and validity of the modeling and method given in this paper.     

大功率LD封装技术的研究

提出一种新的LD列阵封装方法。把热沉形状改为台阶式，使稳态工作条件下的芯片前腔面散热速度提高，前后腔面温差大幅度降低，因此可以提高COD阈值，降低腔面退化率，且更方便于光纤耦合封装。利用Ansys软件对大功率LD稳态工作的温度分布进行模拟。结果发现：改进前的芯片前、后腔面温差为9．0K，改进后温差降为3．5K，降低了60%；热沉前、后端面的温差由原来的18．2K降为8．0K，降低了56％。