信息安全策略实施困难的原因与对策分析

随着企业生产规模的扩大,其所掌控的资产也越来越多。信息作为企业重要的资产,其安全性正得到越来越多的企业的关注,很多企业为了保证自身信息的安全与保密性,也制订了自身的信息安全策略。然而,很多企业的信息安全策略常常形同虚设,没有发挥其应有的作用,甚至存在着严重的漏洞,为企业的健康发展埋下了不小的隐患。笔者结合自身多年的工作经验,就企业信息安全策略实施过程中存在的问题进行分析,并针对性的提出几点对策,希望对相关人士能有所帮助。     

基于系统辨识的自适应控制技术的应用

介绍基于系统辨识的自适应控制系统模型在莱钢2#精炼炉合金下料系统中的应用,通过不断地调整控制过程中的参数值,使控制系统的瞬态响应过程达到最优,消除了生产过程中人为因素的影响,提高了生产的均一性和稳定性.     

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.     

网络设备配置信息备份系统的设计与实现

提出了如何设计开发网络设备配置信息备份系统,实现各种网络设备配置信息的远程备份,并用VBScript语言进行了具体实现。     

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.     

通信企业计算机网络安全技术研究

文章主要阐述了计算机网络攻击和入侵的特点、方法以及其安全防范手段,并集中对目前计算机网络安全技术进行了研究.     

Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap

A residual-based moving block bootstrap procedure for testing the null hypothesis of linear cointegration versus cointegration with threshold effects is proposed. When the regressors and errors of the models are serially and contemporaneously correlated, our test compares favourably with the Sup LM test proposed by Gonzalo and Pitarakis. Indeed, shortcomings of the former motivated the development of our test. The small sample performance of the bootstrap test is investigated by Monte Carlo simulations, and the results show that the test performs better than the Sup LM test.