翻译Snort规则到Statl规则

各种入侵检测系统越来越多,其中大多是基于信号检测(signaturebased)的。它们的信号库各不相同,不能共享。这导致每个产品都要开发自己的信号库,因此不同厂家的入侵检测系统根本无法互相配合,共同防范攻击。提出了一种将一个网络入侵检测系统的Snort的规则转换为STATL(NetSTAT)规则的方法,初步实现了两者之间的规则共享。     

ROWA牌CTD-100有线电视解扰

1 有线电视加解扰技术简介 1.1 加解扰技术是有线电视发展的必然选择 中国是全球拥有电视数量和电视观众最多的国家,加上近几年有线电视的迅猛发展以及电视用户消费倾向的转变,必然导致电视广播运营机制发生重大的改革,以满足这个巨大市场的需求.在全世界范围内,付费电视业务已被确认是电视发展的动力和结构变化的方向.     

彩电PLL视频检波器的捕获与跟踪特性

分析了彩电ＰＬＬ同步检波技术中锁相环路的捕获与跟踪特性,并指出了影响其特性的原因。从而为采用这种技术的彩电在接收载频稳定度较差的ＴＶ信号时出现图像扭曲、跳动等问题提供了解决方案和理论依据。还给出了这种情况的模拟实验方法,并指出了有线电视台保证射频调制器载频稳定度的重要性。     

模拟集成电路设计工具的研究进展

介绍了模拟集成电路设计自动化工具的研究进展 ,详细叙述了有关模拟 IC设计自动化(DA)所用到的种种方法以及各种方法的优劣 ,提出了一些解决方案。介绍了模拟硬件描述语言(AHDLs)以及目前开发混合信号和混合层次 EDA的情况 ,最后叙述了所开发的基于知识的自动化器件产生器。器件产生器的设计思想有效地使用了电路模拟器和从它所得到的信息 ,且器件产生器自适应于工艺过程 ,因此既有基于模型设计系统的短设计时间 ,又有基于模拟设计系统的精确性 ,而且它提高了第一次投片成功率与设计周期之比。     

蜂窝IP技术的探讨

蜂窝ＩＰ技术作为Ｉｎｔｅｒｎｅｔ移动接入技术的重要组成部分,是移动通信网下Ｉｎｔｅｒｎｅｔ网相结合的产物。它解决了无线接入Ｉｎｔｅｒｎｅｔ网主机频繁移动性问题,弥补了移动ＩＰ的５缺陷。介绍蜂窝ＩＰ的协议,对其网络实体和关键技术进行了探讨。     

Blind identification of FIR systems driven by Markov-like inputsignals

We propose a new algorithm for the blind identification and equalization of finite impulse response (FIR) systems using the second-order statistics of the received signal. The new algorithm is set in the same context as the algorithms of Tong et al. (1994) and Moulines et al. (1995), however, unlike those earlier approaches it is designed to allow correlated input signals. Specifically, the algorithm accommodates finite memory sources and sources whose autocorrelation function decays exponentially. Numerical simulations compare the equalization performance of the new algorithm to those of Tong and Moulines. It is shown that our algorithm yields consistently lower bit-error rates at a wide variety of signal-to-noise ratios and at various equalizer lengths. Moreover, the algorithm maintains this advantage even if it has no a priori information of source correlation or if source symbols are uncorrelated     

遥感影像检索中高维特征的快速匹配

提高特征点匹配效率是将高维局部特征运用于遥感影像检索的关键,该文提出一种新的压缩优先过滤(CPF)索引算法。该算法通过量化特征向量构建近似向量空间上的高维索引结构,利用优先队列过滤得到近似近邻候选集,精确计算候选实际特征向量得到最终近邻。在CPF算法基础上提出了基于快速鲁棒性特征(SURF)的遥感影像快速检索算法。实验及分析表明,与经典的最佳桶优先(BBF)算法相比较,CPF降低了磁盘读写(I/O)和浮点运算次数,特征点数目较大时,查询效率和总体查询精度均有显著提高,基于SURF特征的遥感影像快速检索算法能快速返回正确目标与相似目标影像。     

基于FPGA的稀疏网络关键节点计算的硬件加速方法研究

随着互联网、生物医学及社交网络等复杂网络研究的深入,如何寻找其等效图中关键节点越来越重要。中介中心度作为衡量图中节点重要性的主要指标,其单点的计算复杂度高达O(N3),因而成为关键节点计算问题的难点。该文在对传统的中介中心度快速算法进行分析之后,提出了一种适用于硬件设计的改进算法。同时,基于算法中各点独立、以及相邻计算间无数据依赖的特点,该文利用改进算法实现了一个流水线结构的8计算单元并行计算系统,并在FPGA上完成了硬件系统的设计和验证。通过对比8核CPU软件系统的计算时间,该文的硬件计算系统实现了4.31倍的加速比。     

Mobility Enhancement Technology for Scaling of CMOS Devices: Overview and Status

The aggressive downscaling of complementary metal–oxide–semiconductor (CMOS) technology to the sub-21-nm technology node is facing great challenges. Innovative technologies such as metal gate/high-k dielectric integration, source/drain engineering, mobility enhancement technology, new device architectures, and enhanced quasiballistic transport channels serve as possible solutions for nanoscaled CMOS. Among them, mobility enhancement technology is one of the most promising solutions for improving device performance. Technologies such as global and process-induced strain technology, hybrid-orientation channels, and new high-mobility channels are thoroughly discussed from the perspective of technological innovation and achievement. Uniaxial strain is superior to biaxial strain in extending metal–oxide–semiconductor field-effect transistor (MOSFET) scaling for various reasons. Typical uniaxial technologies, such as embedded or raised SiGe or SiC source/drains, Ge pre-amorphization source/drain extension technology, the stress memorization technique (SMT), and tensile or comprehensive capping layers, stress liners, and contact etch-stop layers (CESLs) are discussed in detail. The initial integration of these technologies and the associated reliability issues are also addressed. The hybrid-orientation channel is challenging due to the complicated process flow and the generation of defects. Applying new high-mobility channels is an attractive method for increasing carrier mobility; however, it is also challenging due to the introduction of new material systems. New processes with new substrates either based on hybrid orientation or composed of group III–V semiconductors must be simplified, and costs should be reduced. Different mobility enhancement technologies will have to be combined to boost device performance, but they must be compatible with each other. The high mobility offered by mobility enhancement technologies makes these technologies promising and an active area of device research down to the 21-nm technology node and beyond.     

A Distortion-Sensitive Seam Carving Algorithm for Content-Aware Image Resizing

As displays become less expensive and are incorporated into more and more devices, there has been an increased focus on image resizing techniques to fill an image to an arbitrary screen size. Traditional methods such as cropping or resampling can introduce undesirable losses in information or distortion in perception. Recently, content-aware image retargeting methods have been proposed (Avidan and Shamir, ACM Trans Graphics 26(3), 2007; Guo et al., IEEE Trans Multimedia 11(5):856–867, 2009; Shamir and Avidan, Commun ACM 52(1), 2009; Simakov et al. 2008; Wolf et al. 2007), which produce exceptional results. In particular, seam carving, proposed by Avidan and Shamir, has gained attention as an effective solution. However, there are many cases where it can fail. In this paper we propose a distortion-sensitive seam carving algorithm for content-aware image resizing that improves edge preservation and decreases aliasing artifacts. In the proposed approach, we use local gradient information along with a thresholding technique to guide the seam selection process and provide a mechanism to halt seam carving when further processing would introduce unacceptable visual distortion in the resized image. Furthermore, anti-aliasing filter is used to reduce the aliasing artifacts caused by seam removal. Experiments have demonstrated superior performance over the current seam carving methods.