石油石化系统言息安全态势评估指标体系研究

文章阐述了石油石化系统信息安全态势评估指标体系的研究意义,提出了指标体系的研究思路,分析了指标体系的基本构成,说明了指标体系的总体框架,并对指标体系的数据获取和应用前景作了介绍。对于丰富和完善国家信息安全态势评估指标体系,是一个有意义的探索。     

基于SPOT-5多光谱影像的矿区塌塘水体提取方法研究

针对基于遥感影像的水体提取方法存在水体提取不完整和误提的现象,提出了一种基于SPOT-5多光谱影像的矿区塌塘水体提取方法。在利用波段合成增加一个可用波段的基础上对已有的水体提取方法进行适当的改进,并基于决策树分类器和改进后的方法进行矿区水体的四级提取,保证了水体提取的完整性,同时减少了误提率;最后利用实测数据对水体提取的精度进行了评定。试验结果表明,基于决策树分类器的水体提取方法具有较高的精度,能满足矿区实际应用的需要。     

一种基于网络安全风险评估的入侵检测方法

针对传统的入侵检测系统存在报警数量大、误报率高等缺陷,提出了一种基于网络安全风险评估的入侵检测方法,该方法基于入侵检测结果,引入抗体浓度随入侵强度动态变化这一人工免疫理论的最新研究成果进行网络安全风险的计算,然后根据当前网络面临的实时安全风险动态设置报警策略。实验结果表明,该方法能够实时、定量地计算主机和网络所面临的风险,并极大地降低报警数量和误报率。     

一种基于灰色关联分析的信息安全风险评估方法研究

随着信息化进程的快速发展,保障信息系统的安全性和降低信息系统潜在的风险,一直是国内外学者关注的焦点,而风险评估正是解决该问题的有效方法之一,但是在风险评估过程中存在评估指标难以量化、风险值难以界定等困难,因此文章提出了一种基于灰色关联分析的信息安全风险评估方法,该方法首先建立了信息系统的风险评估指标体系,其次将评估的信息系统与最优信息系统进行关联度分析,最后得出信息系统风险的准确度量。该方法可以使信息系统的评估过程简单化,标准化。     

分布式信息系统风险评估研究-以安徽烟草为例

对分布式信息系统所面临的主要风险进行识别和评估是构建灾备系统的首要任务。以安徽烟草分布式信息系统为例,首先分析了该信息系统在环境、管理、技术、设备等方面所存在的风险,然后以层次分析法为核心构造了评估决策模型,结合专家打分,计算出各类风险对安徽烟草信息系统的威胁程度并进行排序,从而识别出主要的风险源,为构建灾备体系提供依据。     

Evaluation of contrast metrics for liquid‐crystal displays under different viewing conditions

Abstract— A psychophysical experiment was carried out to assess the perceptual contrast on a large‐sized liquid‐crystal display (LCD) under nine phases of viewing conditions. Based on the results, six contrast models employing different color attributes or the index of just‐noticeable difference (JND) were developed. Their performances were also tested by the visual data of the nine phases, which indicated that the model C_Q employing CIECAM02 brightness gives the best performance in predicting visual data under different viewing conditions among those models. A preprocessing step was also proposed to utilize the contrast model C_Q conveniently in the practical contrast evaluation of LCDs.     

Human error identification in human reliability assessment. Part 2: Detailed comparison of techniques

This is the second part of a two-part review of human error identification (HEI) approaches in human reliability assessment (HRA). Part 1 reviewed the probabilistic risk assessment (PRA) context in which HRA occurs, and then detailed 12 HEI techniques which have evolved in the field of HRA. Part 2 attempts to compare the way these techniques perform against a range of criteria relevant to HEI theoretical and empirical validity, and practical usefulness in applied HRA. It is hoped that these comparisons will help assessors in the selection of techniques for practical applications. The comparisons also point to research and development needs in the area of applied HEI.     

On the fit of models to covariances and methodology to the Bulletin..

Notes that 7 of the 10 top-cited articles in the Psychological Bulletin deal with methodological topics. One of these is the P. M. Bentler and D. G. Bonett (1980) article on the assessment of fit in covariance structure models. Some context is provided on the popularity of this article. In addition, a citation study of methodology articles appearing in the Bulletin since 1978 was carried out. It verified that publications in design, evaluation, measurement, and statistics continue to be important to psychological research. Some thoughts are offered on the role of the journal in making developments in these areas more accessible to psychologists. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

铁矿石境外投资风险评估的模糊神经网络模型

论文将模糊理论与神经网络结合,对铁矿石境外投资所涉及的风险因素分别从资产影响、威胁频度两方面进行分析,建立了铁矿石境外投资的风险层次化结构,并构造了各因素所对应评判集的隶属度矩阵;综合运用模糊推理算法与神经网络仿真技术,对铁矿石境外投资的风险进行评估,进而判定铁矿石境外投资风险等级。最后,通过计算铁矿石境外投资的市场风险说明了算法的应用,并将结果与模糊综合评估得到的风险值进行比较,检测了模型的有效性。     

组合评价方法在煤矿安全风险评估中的应用

研究煤矿安全风险准确评估问题,煤矿生产的复杂性导致煤矿事故的动态性、模糊性和随机性,且影响煤矿安全风险等级指标多,指标与风险等级之间呈复杂的非线性关系,导致传统评估方法的准确率低。为了提高煤矿安全风险评估的准确率,提出一种组合的煤矿安全风险评估方法。首先构建出煤矿安全风险评估指标体系,然后采用层次分析法计算各评估指标权重,且采用模糊方法建立判断矩阵,最后将其输入到BP神经网络学习建立煤矿安全风险评估模型。利用具体数据对模型性能进行了验证性测试。实验结果表明,相比较于其它评价方法,组合评价方法提高了煤矿安全风险评估的准确率,是一种有效的煤矿安全风险评估方法。