Decoder side information generation techniques in Wyner-Ziv video coding: a review

Multimedia Tools and Applications - In Wyner-Ziv (WZ) video coding, decoder side information (SI) takes a key role in a WZ video codec among other building blocks. In this paper, we review the...     

8e6科技走校园路线--校园网行为管理解决方案最受青睐

8e6科技公司近日发布的一项校园网安全状况和网络行为管理调查报告显示:目前校园网关注的主要问题是安全威胁和网络带宽浪费。校园网络遇到的安全问题主要集中在防病毒和网络行为管理上,为此,网络行为管理解决方案成为改善校园网安全和应用状况的优选解决方案。大部分受访人表示,他们很愿意采用网络行为管理解决方案,用以解决目前遇到的网络行为管理问题。而选择网络行为管理解决方案时,他们比较关心的是设备的稳定性、安全性和性价比,通过网络行为管理解决方案来分析、记录网络行为以及阻断不当的上网行为,提高网络的安全性和网络带宽利用…     

焊膏印刷工艺参数的选择与优化

表面贴装工艺流程的关键工序之一就是焊膏印刷,其工艺控制的好坏直接影响着装配的线路板的质量。通过对印刷工艺参数的分析,利用试验设计的方法来找出关键工艺参数,并加以优化设定,从而为控制工序参数奠定基础。     

SafeNet如何超越SSL VPN

对许多企业而言,不仅需要能够简单部署的安全远程访问解决方案,而且还需要能够紧密地与企业已投资的身份管理系统进行集成的解决方案。为了满足安全远程访问的实时需求,SafeNet最近推出了无边界安全企业级访问服务器(Borderless SecurityEnterprise Access Server)。该产品不仅具备SSL VPN功能,而且利用特殊配置及设定来满足大型企业的严苛要求(快速建立安全存取控制解决方案,并提供迅速的ROI)。该产品安装在稳固且高效能的1U装置中,将IPSec及SSL VPN、稳固的用户认证、多方授权、端点安全兼容检查以及广泛的认证功能整合在一起,…     

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人的安全如何保证?

最近发生的某信息安全专业技术人员泄密事件引起了业界的广泛关注,人们惊诧于原本脆弱的信息系统,由于安全技术人员的泄密而将变得更加脆弱。其实人们关注的范围还不止这些,比如受到牵连的安全公司业务上将受到什么样的打击?被泄密单位的损失如何弥补?有关方面对此类事件如何处     

Quantitative pharmacophore models with inductive logic programming

Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional groups (like hydrophobic groups, hydrogen acceptors and donors, etc.), are often used in drug design to describe the medicinal activity of potential drugs (or ‘ligands’). This medicinal activity is produced by interaction of the functional groups on the ligand with a binding site on a target protein. In identifying structure-activity relations of this kind there are three principal issues: (1) It is often difficult to “align” the ligands in order to identify common structural properties that may be responsible for activity; (2) Ligands in solution can adopt different shapes (or `conformations’) arising from torsional rotations about bonds. The 3-D molecular substructure is typically sought on one or more low-energy conformers; and (3) Pharmacophore models must, ideally, predict medicinal activity on some quantitative scale. It has been shown that the logical representation adopted by Inductive Logic Programming (ILP) naturally resolves many of the difficulties associated with the alignment and multi-conformation issues. However, the predictions of models constructed by ILP have hitherto only been nominal, predicting medicinal activity to be present or absent. In this paper, we investigate the construction of two kinds of quantitative pharmacophoric models with ILP: (a) Models that predict the probability that a ligand is “active”; and (b) Models that predict the actual medicinal activity of a ligand. Quantitative predictions are obtained by the utilising the following statistical procedures as background knowledge: logistic regression and naive Bayes, for probability prediction; linear and kernel regression, for activity prediction. The multi-conformation issue and, more generally, the relational representation used by ILP results in some special difficulties in the use of any statistical procedure. We present the principal issues and some solutions. Specifically, using data on the inhibition of the protease Thermolysin, we demonstrate that it is possible for an ILP program to construct good quantitative structure-activity models. We also comment on the relationship of this work to other recent developments in statistical relational learning. Editors: Tamás Horváth and Akihiro Yamamoto