An update-based step-wise optimal cache replacement for wireless data access

Many network applications requires access to most up-to-date information. An update event makes the corresponding cached data item obsolete, and cache hits due to obsolete data items become simply useless to those applications. Frequently accessed but infrequently updated data items should get higher preference while caching, and infrequently accessed but frequently updated items should have lower preference. Such items may not be cached at all or should be evicted from the cache to accommodate items with higher preference. In wireless networks, remote data access is typically more expensive than in wired networks. Hence, an efficient caching scheme considers both data access and update patterns can better reduce data transmissions in wireless networks. In this paper, we propose a step-wise optimal update-based replacement policy, called the Update-based Step-wise Optimal (USO) policy, for wireless data networks to optimize transmission cost by increasing effective hit ratio. Our cache replacement policy is based on the idea of giving preference to frequently accessed but infrequently updated data, and is supported by an analytical model with quantitative analysis. We also present results from our extensive simulations. We demonstrate that (1) the analytical model is validated by the simulation results and (2) the proposed scheme outperforms the Least Frequently Used (LFU) scheme in terms of effective hit ratio and communication cost.     

Fast and effective color-based object tracking by boosted color distribution

In this paper, we propose a novel tracking algorithm, boosted color distribution (BCD), for tracking color objects. There exist three contributions in this paper. First, we propose a novel online gentle boost (OGB) algorithm for online learning. The essential idea of OGB is composed of two aspects: online updating candidate weak classifiers, and then choosing and combining them in a boosting way. Second, we design a novel weak classifier, log color feature distribution ratio, which focuses on the difference of color distributions rather than individual samples and provides a simple yet effective manner of mining color features for object tracking. Third, by combining our OGB algorithm and our log color features, we develop a fast yet effective color-based object tracking algorithm. Numerous experiments demonstrate that our tracking algorithm is better than or not worse than some state-of-the-art tracking algorithms on some public sequences.Overall, this paper presents a novel BCD algorithm for color object tracking that achieves good results at a fast speed.     

网络数据库安全及加密技术

互联网的发展,给网络数据库数据的保密性、完整性和可用性带来了很大的威胁.本文总结了近些年数据库安全技术的发展过程,重点介绍了数据库加密技术的特点及新型的数据加密模式.     

微电子产品生产的职业危害及控制初探

随着人们生活水平的提高、生活节奏的加快以及生活环境的改善,微电子工业作为高新技术产业的代表,以作业环境清洁度高,工作速度快为优势,在我国各个行业的应用日益广泛但由于生产过程中使用各种化学物质,潜伏各种职业危害.本文通过调查微电子产品生产的工艺特,4、化学物质使用情况等,综述了各种职业病有害因素,如化学、物理及工效学因素的暴露和健康效应.本文对微电子产品生产的生产流程、职业病危害因素种类及现场检测的资料进行收集、整理与分析.了解到微电子产品生产过程中涉及的化学物质主要有:金属,毒气,腐蚀性物质,有机溶剂,光活性物质.各化学物质浓度虽都未超过职业接触限值.但个别物质如磷化氢、氯化氮、盐酸浓度与职业接触限值较为接近,进而使接触评定较难进行.微电子工业职业有关疾患患病情况高于一般电子工业和所有制造业,目前对生育系统危害调查居多.由此,微电子产品生产中的职业危害问题应予以重视,应积极采取有效的卫生防护和管理策略加以预防和控制.     

基于改进LS-SVR的超磁致伸缩作动器模型辨识

提出了基于遗忘因子矩形窗的最小二乘支持向量机回归( LS - SVR)方法.该方法先将矩形窗方法与传统的LSSVR相结合,用有限个过去的数据做LS - SVR的样本,随着时间增加不断在样本中丢弃旧数据加入新数据,保持样本总数不变;然后在此基础上添加了遗忘因子,在丢弃旧样本的同时兼顾了历史数据的影响.改进后的LS - SVR方法提高了运算速度,同时也提高了辨识的精度.通过仿真实例验证了该方法的有效性和可行性.将此方法应用到超磁致伸缩作动器的在线模型辨识上,取得了较好的辨识结果.     

RSS技术及其教育功能探究

RSS是基于XML的信息聚合技术,它使信息能够迅速、及时的传递给用户。该文主要介绍了RSS技术的基本概念及特点,然后基于该技术特点,具体探讨了该技术在网络教育上的应用。     

Polarization discrimination between repeater false-target and radar target

High fidelity repeater false-target badly affects a radar system’s detecting, tracking, and data processing. It is an available approach of confronting false-target for radar that discriminates firstly and then eliminates. Whereas for the technique progress about the repeater false-target jam, it is more and more difficult to discriminate this jam in the time-domain, frequency-domain, or space-domain. The technique using polarization information to discriminate the target and false-target is discussed in th...     

民政低保系统中基于XML的数据交换浅析

该文主要介绍电子政务在我国的发展,低保信息系统概述,重点阐述低保信息系统中面临的数据交换问题,并对基于XML的数据交换平台的构建进行分析。     

基于多Agent的世博会交通疏导决策支持系统

分析世博会交通概况,把多Agent技术引入到决策支持系统中来,给出了世博会交通疏导决策的框架,以及该系统的决策模型,使之能够更好地对交通进行决策管理,为2010年将在上海举行的世博会提供参考.