Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.     

Experimental Study of Microstructure Evolution during Tempering of Quenched Steel and Its Application

LARGE-SIZED FORGINGS are usually intensivelyquenched to obtain the desired microstructuredistribution,high strength and hardness.Becauseresidual stresses are high in quenched large-sizedforgings,tempering processes follow quenchingprocesses to reduce the residual stress and obtain goodmechanical properties.Several differentmicrostructures are generated in quenched steelforgings,such as martensite,bainite and retainedaustenite.Modeling of microstructure evolution inquenched steel during …     

国外小电流空气等离子弧切割技术的发展

本文就小电流空气等离子弧切割工艺的特性、切割质量、切割设备、存在问题和应用情况作了综合介绍。当工作气体含氧量为20％时,切割速度急剧增加,大大优于气割。     

北疆供水工程高级应用项目实施

本文系统介绍了北疆供水工程高级应用项目,该项目是基于北疆供水工程已建信息化系统平台和数据基础上的深化应用软件,包括长距离供水工程调度运行决策支持、工程运行安全评估支持、事故应急处理预案与决策支持、三维GIS虚拟仿真等4个子系统。     

基于传感器丢包率不确定性预测的分布式H∞滤波算法

针对无线传感器网络（ WSNs）在测量数据丢包不确定性情况下的分布式H∞滤波问题,提出一种基于传感器丢包率不确定性预测的分布式H∞滤波算法。通过设计一种线性全阶滤波器,使得滤波误差能够收敛在均方渐近为零,同时抑制外界的干扰造成的H∞滤波衰减。根据滤波参数符合伯努利分布随机分布的原理,利用Lyapunov函数的方法,通过寻找最佳的滤波参数来保证在丢包率不确定的情况下对真值预测的随机稳定性。实验仿真结果表明：当观测数据存在不确定性丢包时,该滤波算法能发挥有效的滤波效果。     

基于无证书公钥密码的终端安全移动支付协议

移动支付协议允许两方或多方通过公开网络安全交换电子现金和数字内容.在实现安全支付过程中,传统公钥密码学的证书管理问题和基于身份密码学的私钥托管问题均给支付协议带来弊端.因此,使用无证书密码学来解决此类问题.针对高效的移动支付协议的设计问题展开研究,提出了一个基于无对的无证书密码学的移动支付协议.协议引入了口令等信息实现终端安全,还应用了密钥协商协议生成对称加密密钥,并且该过程伴随着支付过程,以此降低协议的计算和通信代价.此外,协议还可以实现公平交换等支付安全属性.     

投票理论研究现状及其展望

社会选择理论是研究如何表达和聚合个体选择的一门学问.而社会选择理论与计算机科学的融合产生了称为计算社会选择的交叉学科,该学科成为社会计算的重要研究内容之一,在人工智能、经济和计算性理论领域引起了轰动.其一方面引入了复杂性分析和算法设计等计算机学科中常用的技术来对社会选择机制进行研究;另一方面也通过引入社会选择理论中的概念来推动计算机技术的发展,特别是在多智能体系统研究中有着成功的应用.投票理论是计算社会选择中最重要的研究主题之一.首先介绍常见的投票方法以及投票理论的形式化框架;再对投票理论中所关心的操纵问题做分析;然后介绍在组合域上的投票;最后对其他相关问题作简要介绍,并对该领域未来的发展与应用做出展望.     

移动图形处理器的现状、技术及其发展

3D图形绘制技术已经渗透到各种移动设备中.相对于桌面PC,移动设备图形处理需要以更低的功耗、更有限的内存带宽和较低的运算能力实现高性能、高质量的图形显示效果.文中介绍了移动图形处理器发展现状,从硬件设计方面分析了这一领域未来面临的挑战;分析了当前移动图形处理器中区块式和立即式渲染的架构特点,总结了渲染过程中加速数据流计算方法和芯片低功耗设计方法.最后展望了移动图形处理器的发展趋势.     

基于双EnKF的土壤水分与土壤属性参数同时估计

为提高土壤水分数据同化结果的精度,将基于双集合卡尔曼滤波(Dual Ensemble Kalman Filter,DEnKF)的状态-参数估计方案与简单生物圈模型(simple biosphere model 2,SiB2)相结合,同时更新土壤水分和优化模型参数(土壤属性参数)。选用2008年6月1日~10月29日黑河上游阿柔冻融观测站为参考站,开展了同化表层土壤水分观测数据的实验。研究结果表明:DEnKF可同时优化土壤属性参数和改进土壤水分估计,该方法对表层土壤水分估计的精度0.04高于EnKF算法的精度0.05。当观测数据稀少时,DEnKF算法仍然可以得到较高精度的土壤水分估计,3层土壤水分的估计精度在0.02~0.05之间。     

The governance strategies for public emergencies on social media and their effects: a case study based on the microblog data

Since the 1980s, the development of information and communication technologies (ICTs) has greatly changed people’s modes of production and lifestyle, and it has also had a significant influence on traditional social structures. Microblogs – a type of social media application such as Twitter or Weibo – have served as an important platform for network governance in some local governments in China. This study makes an attempt to answer the following questions: What types of strategies should governments implement on social media platforms during public emergencies? What are the effects of these strategies? Based on the case of the Shifang Incident, which was a large-scale environmental protest that occurred in Shifang, China in 2012, we analyze all the messages posted during the incident on the official microblog of the Shifang government and examine the public feedback by using an online big data analysis tool. In line with the time sequence and the extent of the conflict, we divide the Shifang Incident into three phases: the fermentation period, the confrontation period, and the digestion period. In addition, we classify government strategies on social media into five categories: introducing, appealing, explaining, rumor-refuting, and decision-making. The analysis results show that different government strategies are applied to different phases of the incident and that the responses of the public also vary during different periods.