突发事件中网络舆论的情报引导模式

随着信息化的日益普及,网络舆论已成为公众表达民情民意、讨论公共事务、进行舆论监督的一个开放的公共平台。突发事件发生后,该事件一旦成为互联网上的热门话题,往往能够在短时间内形成巨大的网络舆论场,吸引为数众多的网络受众参与其中。这些网络舆论一旦达到一定的传播强度,就可能转化为实际生活中的社会舆论,在整个社会范围中产生巨大影响。因此,有必要研究和讨论突发事件中的网络舆论引导问题,作者就是想把情报的概念引入到对突发事件中网络舆论的引导上,并建立起相应的情报引导模式,通过这一模式,可以实现对突发事件网络舆论的合理引导。     

Register allocation for write activity minimization on non-volatile main memory for embedded systems

Non-volatile memories are good candidates for DRAM replacement as main memory in embedded systems and they have many desirable characteristics. Nevertheless, the disadvantages of non-volatile memory co-exist with its advantages. First, the lifetime of some of the non-volatile memories is limited by the number of erase operations. Second, read and write operations have asymmetric speed or power consumption in non-volatile memory. This paper focuses on the embedded systems using non-volatile memory as main memory. We propose register allocation technique with re-computation to reduce the number of store instructions. When non-volatile memory is applied as the main memory, reducing store instructions will reduce write activities on non-volatile memory. To re-compute the spills effectively during register allocation, a novel potential spill selection strategy is proposed. During this process, live range splitting is utilized to split certain long live ranges such that they are more likely to be assigned into registers. In addition, techniques for re-computation overhead reduction is proposed on systems with multiple functional units. With the proposed approach, the lifetime of non-volatile memory is extended accordingly. The experimental results demonstrate that the proposed technique can efficiently reduce the number of store instructions on systems with non-volatile memory by 33% on average.     

Memoryless SMC Design Methods for Stochastic Delay Systems

Recently, the sliding mode control (SMC) method has been extended to accommodate stochastic systems. Particularly, restrictive assumption on the structure of the control systems have been removed and a practical SMC design method for stochastic systems has been presented. This paper continues this line of research and studies the SMC methods for stochastic systems with state delay in diffusion. Both delay‐independent and delay‐dependent approaches are investigated. Essentially, this paper studies SMC design methods with memoryless controllers for time delay systems, which has been a problem in the past decades.     

Efficient removal of boundary-divergence errors in time-splitting methods

A normal mode analysis is presented and numerical tests are performed to assess the effectiveness of a new time-splitting algorithm proposed recently in Karniadakiset al. (1990) for solving the incompressible Navier-Stokes equations. This new algorithm employs high-order explicit pressure boundary conditions and mixed explicit/implicit stiffly stable time-integration schemes, which can lead to arbitrarily high-order accuracy in time. In the current article we investigate both the time accuracy of the new scheme as well as the corresponding reduction in boundary-divergence errors for two model flow problems involving solid boundaries. The main finding is that time discretization errors, induced by the nondivergent splitting mode, scale with the order of the accuracy of the integration rule employed if a proper rotational form of the pressure boundary condition is used; otherwise a first-order accuracy in time similar to the classical splitting methods is achieved. In the former case the corresponding errors in divergence can be completely eliminated, while in the latter case they scale asO(vt)_1/2.     

职业教育计算机课新型教学模式与实训方法应用研究

随着时代的发展,信息化进程的加快,计算机在人们的日常生活中起到越来越重要的作用,因此,计算机教学也随之引起了人们的关注。计算机教学呼唤改变传统的教学模式,倡导灵活多元的教学模式。本文根据教学实践,从教学模式与实训方法应用做出分析与探讨。     

基于ASP.NET技术的网上书城系统分析

20世纪90年代以来,全球性的电子商务正成为最活跃,最热门的信息交易活动,网上书城系统便是其中一个典型的实际应用。网上书城主要包括前台客户操作和后台管理员管理两部分。前台在主要实现用户的注册和登录,按分类浏览图书,对图书进行评论,使用购书帮助文档,查看购物车,下订单,查看订单,修改用户个人资料,修改用户密码等。后台管理员主要实现对数据库中书籍信息和用户信息的维护。     

GIL机械故障诊断与预警技术研究

为了有效诊断气体绝缘金属封闭输电线路(GIL)的机械故障,搭建了110 kV GIL试验平台并设计了3种典型机械故障,通过互补集合经验模态分解(CEEMD)模糊熵值与鲸鱼优化极限学习机(WOA-ELM)模型联合方法对GIL机械故障模式进行识别与诊断。首先,利用CEEMD方法对振动信号进行分解,引入正负白噪声组对信号进行处理,得到含有故障信息的模态分量(IMF)。其次,利用模糊熵计算模态分量特征值,得到能表征故障特征的模糊熵值。最后,结合WOA-ELM模型对特征向量集进行模式识别,根据聚类结果与自适应阈值对GIL设备机械故障进行诊断和预警。结果表明,利用CEEMD与模糊熵对GIL振动信号特征进行分析,可以有效避免模态混叠和冗余噪声分量的干扰,得到能够表征故障特征的特征值;利用WOA-ELM模型可以有效实现GIL设备机械故障诊断与预警。     

基于动态模式分解的移动用户信道容量预测算法

在多输入多输出环境下,为了能够连续预测出移动用户的信道容量并以此合理地分配用户资源,提出了一种基于动态模式分解（DMD）的信道容量预测方法及其优化方法：基于经验模态分解的选择性归一化动态模式分解（ESN-DMD）.仿真结果表明,DMD算法只适用于预测低移速低复杂度的用户信号,ESN-DMD算法可以预测不同移速的用户信道容量.     

预测帧编码中基于场景信息的宏块模式跳过算法*

在对场景信息进行分析的基础上,提出了H.264/AVC中预测帧的一种快速算法.对于未发生场景切换的预测帧,采用INTRA模式跳过算法(IMSA),跳过该帧中所有的INTRA模式的决策过程.对于发生场景切换的预测帧,跳过INTER模式的决策过程(PMSA).仿真结果显示,与采用完整的率失真优化(RDO)决策过程相比,未发生场景切换时,所提方法能减少30%～60%的编码时间;发生场景切换时,能减少60%～70%的编码时间,并且未导致明显的图像质量下降和码率的增加.     

精确定位的高带宽新型音圈电机驱动器研究

为了在极高磁道密度（TPI）的硬盘中快速寻道定位、读取数据,研发了一种新型高带宽驱动器组件.该新型高带宽驱动器的音圈电机（VCM）具有独特的音圈结构和磁极（体）排列.在电磁设计中,应用三维有限元分析法（FEA）对一些关键电磁参数及主要结构尺寸进行了优化;预测了系统的动态性能.分析表明,新型音圈电机驱动器产生的电磁力形成了纯力矩,降低了轴承和轴上的反作用力,与传统驱动器相比,更好地抑制了影响伺服带宽的横向准刚性体震动模式（QR模式）,使驱动系统能在高TPI下快速跟踪和精确定位.实验测试了系统的频率响应特性,与理论设计符合得较好.