Multi-agent and driving behavior based rear-end collision alarm modeling and simulating

Distance-between-vehicle-measurement is the only factor in traditional car rear-end alarm system. To address the above problem, this paper proposes an alarming model based on multi-agent systems (MAS) and driving behavior. It consists of four different types of agents that can either work alone or collaborate through a communications protocol on the basis of the extended KQML. The rear-end alarming algorithm applies the Bayes decision theory to calculate the probability of collision and prevent its occurrence real-time. The learning algorithm of driving behavior based on ensemble artificial neural network (ANN) and the decision procedure based on Bayes’ theory are also described in this paper. Both autonomy and reliability are enhanced in the proposed system. The effectiveness and robustness of the model have been confirmed by the simulated experiments.     

建立大网概念在计算机网络教学和人才培养中的作用

针对通信技术发展对高等教育计算机网络课程教学提出的新要求,以及高校计算机网络课程教学中存在的问题,文章从当前社会经济发展所需的可雇用服务型网络人才培养需求出发,探讨建立大网概念在计算机网络教学和人才培养中具有的重要作用,提出在计算机网络教学中建立大网概念的关键在于深入浅出地把握逻辑网络和物理网络之间的关系,实现理论网络与实际网络的统一。     

以竞赛培养模式推动理工科程序设计课程改革

提高理工科程序设计课程教学质量是当前需要重点关注的问题。本文在分析当前程序设计课程存在的问题的基础上,阐述了以大学生程序设计竞赛的培养模式推动程序设计课程改革的观点,同时结合本校学生程序设计能力和创新能力培养的实际,介绍了对程序设计课程的教学思路、教学内容、教学方法、实践方式所进行的改革。     

Exponential stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed delays

In this paper, we study a new class of stochastic Cohen-Grossberg neural networks with reaction-diffusion and mixed delays. Without the aid of nonnegative semimartingale convergence theorem, the method of variation parameter and linear matrix inequalities technique, a set of novel sufficient conditions on the exponential stability for the considered system is obtained by utilizing a new Lyapunov-Krasovskii functional, the Poincaré inequality and stochastic analysis theory. The obtained results show that the reaction-diffusion term does contribute to the exponentially stabilization of the considered system. Therefore, our results generalize and improve some earlier publications. Moreover, two numerical examples are given to show the effectiveness of the theoretical results and demonstrate that the stability criteria existed in the earlier literature fail.     

A comment on “Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding”

A geodesic distance-based approach to build the neighborhood graph for isometric embedding is proposed to deal with the highly twisted and folded manifold by Wen et al. [Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding, Pattern Recognition 41 (2008) 2226-2236]. This comment is to identify the error in their example and the ineffectiveness of their algorithm.     

Tool choice in innovation diffusion: A human activity readiness theory

The short product life cycle of information and communication technology (ICT) applications makes it critical for developers to expedite the diffusion process by reducing user resistance. At the individual level, the adoption of an ICT application largely depends on how a person is ready to use the computerized tool in place of the corresponding traditional method for a certain purpose. To find out how to facilitate the transition, this study investigates the human choice behavior involved in technology adoption with the Activity Theory that allows for the inclusion of different tools in one unit of analysis. The understanding of user situated experiences from the activity perspective leads to hypothesized relationships between user-, tool- and task-related factors and the dependent variable in terms of tool readiness. The empirical results support that tool experiences have stronger effects on specific tool readiness at the within-subject level, user characteristics have weaker effects on general tool readiness at the between-subject level, and task situations influence both levels of tool readiness. The findings provide insights on how to facilitate innovation diffusion for different tools, tasks and users.     

RBC-CC: RBC-Based Cascade Caching Scheme for Content-Centric Networking

With the increasing demand of content dissemination, Content-Centric Networking (CCN) has been proposed as a promising architecture for future Internet. In response to the challenges in CCN caching, we develop an online caching scheme (named RBC-CC) exploiting the concept of Routing Betweenness Centrality (RBC) and “prefetching”, aiming at significantly reducing costly inter-ISP traffic and largely reducing content access hops. Simulation results demonstrate that the proposed caching scheme can significantly outperform the popular caching approaches in terms of the saving rate of inter-ISP traffic. Besides, RBC-CC performs well in reducing the average access hops and incurs the least cache evictions. Further, we present a thorough analysis regarding the impact of access pattern, cache size, content popularity and population on the caching performance. We then come to the conclusion that our scheme is featured with good stability and scalability as well as its effectiveness.     

网络机器人在数据库比对系统中的应用

网络机器人(Web Robo)t是一种自动化获取网页数据的程序。实践中使用对特定主题感兴趣的网络机器人获取数据,与数据库中数据进行比对,得出有用的结果。     

基于RTP与模板卷积法的视频无线传输技术

速率控制和差错控制是视频传输系统重点研究内容,在RTP实时传输协议和MPEG-4码流分包的基础上,提出了采用一种新的基于RTCP反馈的自适应分包技术和基于模板卷积的计算运动矢量的方法.该技术能有效解决高分辨率、大数据量视频图像在无线视频传输中的丢包率难题.通过实验结果表明,该技术能保证无线视频实时传输质量.     

基于双启发动态规划的预分解窑控制器设计

针对水泥预分解窑熟料煅烧过程多变量、多扰动、非线性,难以建立精确的数学模型,实际生产中对工人的生产经验依赖性较强等问题,提出采用误差反向传播(BP)神经网络建立烧成系统数学模型,设计预分解窑双启发动态规划(DHP)控制器。DHP评价网络输出代价函数J关于状态量的偏导数,获得最优或者次优的控制信号,然后由动作网络输出控制信号,使系统得到期望的控制轨迹。仿真结果表明控制器响应时间较快,各参量超调量均不大,有助于实际系统的稳定运行。