Accelerating sequential programs on commodity multi-core processors

A recently proposed pipelined multithreading (PMT) technique exhibits wide applicability in parallelizing general sequential programs on multi-core processors. However, significant inter-core communication overhead limits PMT performance and prevents its commercial utilization. A simple and effective clustered pipelined multithreading (CPMT) approach is presented to accelerate sequential programs on commodity multi-core processors. This CPMT technique adopts a clustered communication mechanism that can yield very low average communication overhead by eliminating false sharing as well as reducing communication operation and transit delays in the software-only approach. A single-producer/single-consumer concurrent lock-free clusteredQueue algorithm based on a two-level queue structure is also proposed. The accuracy of CPMT is theoretically demonstrated. The performances of the algorithm and CPMT are evaluated on a commodity AMD Phenom four-core processor. The number of enqueue and dequeue times of the algorithm are 20.8 and 23 cycles given an appropriate parameter, respectively. The speedup of CPMT ranges from 13.1% to 119.8% for typical loops extracted from the SPEC CPU 2000 benchmark suite.     

化肥企业质检机构的管理

针对我国化肥生产企业质检机构的现状 ,结合国家相关政策的要求 ,就如何搞好化肥企业质检机构的管理提出了诸多指导性意见     

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network

In this paper, a novel self-adaptive extreme learning machine (ELM) based on affinity propagation (AP) is proposed to optimize the radial basis function neural network (RBFNN). As is well known, the parameters of original ELM which developed by G.-B. Huang are randomly determined. However, that cannot objectively obtain a set of optimal parameters of RBFNN trained by ELM algorithm for different realistic datasets. The AP algorithm can automatically produce a set of clustering centers for the different datasets. According to the results of AP, we can, respectively, get the cluster number and the radius value of each cluster. In that case, the above cluster number and radius value can be used to initialize the number and widths of hidden layer neurons in RBFNN and that is also the parameters of coefficient matrix H of ELM. This may successfully avoid the subjectivity prior knowledge and randomness of training RBFNN. Experimental results show that the method proposed in this thesis has a more powerful generalization capability than conventional ELM for an RBFNN.     

基于多决策树的RFID入侵检测模型

为了能够有效对RFID系统的已知攻击和未知攻击进行检测和预警,在分析大量RFID安全协议的基础上,提出了利用构建多决策树的方法对RFID系统的入侵行为进行检测。通过分析,得到所构造出的多决策树能够发现针对RFID系统的攻击之间的关系,并且具有可扩展性和高效性,使之能够适用于各种实际的RFID系统的应用。     

基于虚拟磁盘的携带型操作系统加密方案

针对移动硬盘的加密系统分区无法被正确辨识而导致误格式化的问题,应用文件系统过滤驱动技术,结合硬盘主引导程序及分区表机理,对现有的基于虚拟磁盘的移动硬盘加解密方案进行了改进,在加密分区包含可运行操作系统的情况下,增加了盘符自动隐藏及恢复的功能。以开源加密软件Truecrypt为例,利用安装了视窗操作系统的固态移动硬盘进行测试。结果表明,在不影响加密操作系统正常运行的同时,盘符自动隐藏及恢复功能避免了用户的误格式化操作,从而提高了移动硬盘加密系统分区的安全性和隐蔽性。     

基于Hilbert曲线和位置自调节法的图像版权保护算法

以小波的相关理论为基础,先把水印图像预置乱处理,对宿主图像直接进行小波包分解,之后将水印的低频部分和中高频部分分别采用Hilbert曲线扫描和位置自调节法嵌入到宿主图像中,嵌入强度可根据图像的内容自适应调节。通过实验观察,新算法在抗压缩和抗剪切性能有所提升,同时隐蔽性和抗噪能力也得到了较大改观,结果充分说明该算法是一种性能较为优良的图像版权保护算法。     

Trusted Integrated Circuits: The Problem and Challenges

Hardware security has become more and more important in current information security architecture. Recently collected reports have shown that there may have been considerable hardware attacks prepared for possible military usage from all over the world. Due to the intrinsic difference from software security, hardware security has some special features and challenges. In order to guarantee hardware security, academia has proposed the concept of trusted integrated circuits, which aims at a secure circulation of IC design, manufacture and chip using. This paper reviews the main problems of trusted integrated circuits, and concludes four key domains of the trusted IC, namely the trusted IC design, trusted manufacture, trusted IP protection, and trusted chip authentication. The main challenges in those domains are also analyzed based on the current known techniques. Finally, the main limitations of the current techniques and possible future trends are discussed.     

一种关于模糊时间序列模型论域划分的多尺度比率算法

针对模糊时间序列研究中比率划分论域方法存在对非均匀数据划分效果不理想的缺陷, 提出一种基于模糊C 均值聚类(FCM) 算法的多尺度比率划分论域的方法. 首先利用FCM算法对样本数据进行分类; 然后计算各类数据的平均相对误差, 并基于各类的平均误差划分论域, 产生非等间隔的多尺度论域划分方法; 最后, 通过算例表明了多尺度比率论域划分方法的有效性.     

典型案例教学在《Android 开发技术》课程中的应用

随着移动互联技术的迅猛发展,很多高等学校在软件工程和计算机科学与技术专业开设《Android开发技术》课程,培养学生从事移动互联终端软件开发的能力,但在该课程教学过程中存在教学内容枯燥乏味、学生学习缺乏积极性和教学效果差等问题。分析该课程知识点的特点,提出利用“典型案例”贯穿该课程的核心知识点,教学实践显示该教学方法适合该课程的教学。     

计算思维影响下的应用型本科计算机基础教学改革探索

当前以计算思维能力培养为切入点的大学计算机课程改革工作已进入一个新的阶段,如何改革计算机基础教学以适应当前形势的发展,是计算机基础教学面临的挑战。以计算思维为导向,对应用型本科院校大学计算机基础课程的目标定位、教学内容、教学过程等教学环节作改革式探索。