基于GTST-MLD的复杂网络风险评估方法

针对复杂信息系统复杂程度高、互影响性与互依赖性强,现有风险评估方法难以适应大规模网络安全风险评估与应用实践的需要的问题,研究了基于GTST-MLD的适合复杂信息系统的风险要素分析方法和整体风险评估方法,包括研究事故互依赖关系模型,进行风险要素建模以及风险传导分析,以提高针对复杂信息系统的风险评估能力和分析水平。结果证明,模型对复杂信息系统安全特性的目标、功能、结构、行为等因素予以综合,实现在更高的系统功能层面上对系统安全性的分析研究,为复杂信息系统的量化风险评估提供了可靠的量化分析手段。     

Zinc hydroxystannate and zinc stannate as flame‐retardant agents for flexible poly(vinyl chloride)

The flame‐retardant and smoke‐suppressant properties of inorganic tin compounds such as zinc hydroxystannate (ZHS) and zinc stannate (ZS) were investigated in a comparison with alumina trihydrate, magnesium hydroxide, and Sb₂O₃ through the limiting oxygen index test and smoke density test. The flame‐retardant mechanisms were studied through the char yield test, SEM, quantitative analysis, thermogravimetry and differential thermal analysis. The thermal degradation in air of flexible PVC treated with the above compounds was studied by thermal analysis from ambient temperature to 800°C. The results showed that tin compounds such as ZHS and ZS could be used as a highly effective flame retardant for flexible PVC, and it appears that the tin compound may exert its action in both the condensed and vapor phases, but mainly in condensed phases as a Lewis acid. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 98: 1469–1475, 2005     

激光引信抗干扰技术分析

针对激光引信易受云雾、烟尘干扰的特点,利用云雾、烟尘及模拟阳光产生装置,设计了一组激光引信干扰实验。模拟激光引信与目标交会过程中云雾、烟尘及阳光等对激光引信的干扰,并根据实验数据,分析了云雾、烟尘及阳光对激光引信的干扰机理和特征,提出了抗阳光、云雾等干扰的措施。     

基于控制流模型的Web系统测试方法研究

Web应用系统的使用与日俱增,技术层出不穷,但是Web应用系统的测试却是一个难点.论文提出一种基于控制流的测试方法,对Web应用系统建立控制流模型,并给出形式化的定义,采用模型进行测试用例的产生.为了使测试自动化,论文还谈到脚本技术和测试执行器的设计.     

医疗大数据特征挖掘及重大突发疾病早期预警

通过运用新兴的尖端云计算技术,设计研发了健康云平台。采用分布式云存储技术存储大规模的异构多模态生理信号数据,将数据挖掘模型（L1-逻辑斯蒂）整合至MapReduce框架中,快速挖掘用户的健康信息以及重大疾病高风险因子,让用户能实时地了解自己的身体状况,同时对用户的异常状况给出预警信息,并通知其前往医院就医,实现了对重大突发疾病的早期预警。     

基于Android平台的风机手持操作仪开发

基于Android平台开发了一款风机手持操作仪, 用于风机的日常监视、维护及设置。以TCP/IP协议和MODBUS协议为基础, 与风机主控系统实现基础数据通讯, 并通过交互界面上的触控操作来完成监视、维护及设置功能; 同时, 利用数据库技术实现对风机和用户数据的存储与管理, 并对用户关键信息进行加密处理以提升安全性。实际应用表明了该设备的可行性、有效性, 并且具备灵活、便携、经济等特点。     

一种基于加速度传感器的人体跌倒识别方法

为了减少老年人因跌倒而造成的伤害,及时有效地识别跌倒行为,提出了一种基于三轴加速度传感器的人体跌倒识别方法。首先将加速度传感器放置于人体腰腹位置,采集人在运动时的加速度变化数据;然后使用日常活动数据训练隐马尔科夫模型(HMM),利用老年人活动状态相对较少的特点,从测量数据与HMM的匹配程度寻找"疑似"跌倒行为;最后计算短暂时间内的身体倾角,检测人体躺卧姿态,完成跌倒识别。利用HMM和身体倾角识别跌倒,解决了生活中缺乏跌倒数据训练样本的问题,提高了某些近似行为的区分度。仿真结果表明,该方法在有效识别跌倒行为的同时,提高了正确率。     

The Influence of Network Structural Properties on Information Dissemination Power in Microblogging Systems

The potential of microblogging networks to spread information, ideas, and influence via social links has been recognized. Individuals at central or critical positions in the microblogging networks are expected to play an important role in spreading information, but this belief must be tested with empirical investigations in actual information dissemination. Furthermore, it is possible that individuals with different types of structural importance influence the information dissemination in different ways. This article examines the impact of five structural properties (degree, betweenness, closeness, tie strength, and k-value) on information dissemination capabilities by tracking the dissemination of 150 messages in Sina Weibo. The results highlight the importance of betweenness centrality, which best explains the influence on information dissemination distance and coverage size. It also best predicts the information dissemination efficiency. Degree centrality is found to be a strong predictor of one’s influence among immediate followers. Tie strength negatively correlates with influence on the information dissemination distance and coverage size. These structural properties address different aspects of the information dissemination power and should be used in a complementary way when planning information dissemination strategies in microblogging systems.     

我国高等学校法人治理结构的实施框架

高等学校法人治理结构的关键在于权力分配与权利制衡,目标在于真正落实高等学校的办学自主权。只有以现存的治理制度与组织结构为基础,引入现代企业治理结构和国外高等学校法人治理的经验,对高等学校的科层制管理结构进行改良,建立符合我国国情的高等学校法人治理结构,才是落实办学自主全权,完善自我管理的必要出路。     

Conditional probability Markov chain simulation based reliability analysis method for nonnormal variables

Based on fast Markov chain simulation for generating the samples distributed in failure region and saddlepoint approximation(SA) technique,an efficient reliability analysis method is presented to evaluate the small failure probability of non-linear limit state function(LSF) with non-normal variables.In the presented method,the failure probability of the non-linear LSF is transformed into a product of the failure probability of the introduced linear LSF and a feature ratio factor.The introduced linear LSF wh...