薄板坯连铸结晶器技术及钢种开发的几个问题分析(续)

薄板坯连铸结晶器是薄板坯连铸技术的核心，通过对薄板坯连铸结晶器内钢水的流动、传热以及凝固壳的收缩和变形行为的研究，分析了连铸坯几种典型裂纹缺陷的形成原因；并结合实验室和生产实践，对薄板坯连铸连轧生产冷轧基料用B微合金化钢、电工钢、V-N微合金高强度钢等的工艺特性以及钢材性能进行了分析。文章分二次发表，本次是上海金属2006—1期文章的续栽，内容是关于薄板坯连铸连轧典型品种的开发以及薄板坯连铸连轧技术的发展与展望。     

脉冲电流对Al-4.5Cu合金定向凝固组织的影响

研究了脉冲电流对Al-4．5Cu合金定向凝固过程及组织的影响。结果表明，随着脉冲电流峰值和频率的增大，Al—4．5Cu合金柱状晶被熔断，形态由细条状变为不连续，失去其定向凝固的取向性；且柱状晶间距随电流峰值和频率的增大而减小。由脉冲电流的引入而产生的脉冲磁压力及焦耳热效应在固液界面处造成的强烈扰动是定向凝固组织失去取向性的主要原因。     

An efficient certificateless undeniable signature scheme

Certificateless cryptography addresses the private key escrow problem in identity-based systems, while overcoming the costly issues in traditional public key cryptography. Undeniable signature schemes were proposed with the aim of limiting the public verifiability of ordinary digital signatures. The first certificateless undeniable signature scheme was put forth by Duan. The proposed scheme can be considered as the certificateless version of the identity-based undeniable signature scheme which was introduced by Libert and Quisquater. In this paper, we propose a new scheme which is much more efficient comparing to Duan's scheme. Our scheme requires only one pairing evaluation for signature generation and provides more efficient confirmation and disavowal protocols for both the signer and the verifier. We also prove the security of our scheme in the strong security model based on the intractability of some well-known pairing-based assumptions in the random oracle model.     

无线传感器网络中基于ELM的混合入侵检测方案

在研究机器学习算法的基础上,提出一种基于极限学习机( ELM)的混合入侵检测方案。将无线传感器网络分为感知层、数据汇聚层和核心控制层,在每层分别设置与其相适应的入侵检测方案,并在能量充足的核心控制层布置信任管理模块和ELM模块。信任模块可以及时筛去异常节点,相比于支持向量机算法训练速度更快,可提高入侵检测效率。实验结果表明,该方案在保证较高检测率的基础上,降低了能耗,延长网络运行时间,更适合于资源受限的无线传感器网络。     

Oscillating bubbles in teardrop cavities for microflow control

Microstreaming generated from oscillating microbubbles has great potential in microfluidic applications for localized flow control. In this study, we explore the use of teardrop-shaped cavities for trapping microbubbles. Upon acoustic actuation, these microbubbles confined in teardrop cavities can be utilized to generate a directional microstreaming flow. We further show that by altering the acoustic excitation frequency, a flow-switch for altering flow direction in microfluidic environments can be achieved using two oppositely arranged teardrop cavities with different sizes. In the end, we show that an array of such bubble-filled teardrop cavities can act as a fixated microfluidic transport system allowing for on-chip particle manipulation in complex flow patterns. This inexpensive method to create flows to switch and transport elements based on teardrop cavities can be widely employed for microfluidic applications such as drug delivery systems.     

基于CUDA的并行全搜索运动估计算法

为了提高H.264视频编码效率,基于计算统一设备架构(CUDA)的并行全搜索运动估计算法,并利用GPU强大的计算能力和CUDA优化的存储层次结构,以加速H.264编码中的运动估计.与传统的以牺牲视频质量来提升运动估计性能的方法不同,该算法在保证视频质量的同时,结合运动估计计算密集、计算量大等特点,充分利用CUDA架构的并行性加快运动估计的速度,从而达到提高实时编码速度的目的.在GTX280实验平台上的实验结果显示,采用文中算法比优化的CPU实现可获得高达70倍的加速比.     

我国变频器的现状及其未来的技术发展

分析了我国变频市场具有的特殊性,市场现状、中国企业特点、电力电子行业特点等,介绍了变频技术的现状及变频技术发展方向.最后分析了国产变频器的发展走向.     

物联网关键技术及其发展探讨

本文分析了物联网的技术架构、物联网的关键技术、物联网的安全问题研究、物联网发展面临的问题及其解决措施.为物联网相关问题的探讨奠定了理论基础.     

Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface

In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classification of right and left motor imagery for developing EEG-based brain-computer interface systems. The experimental results on the Graz BCI data set have shown that based on the proposed features, a LDA classifier, SVM classifier and NN classifier outperform the winner of the BCI 2003 competition on the same data set in terms of either the mutual information, the competition criterion, or misclassification rate.