国库信息系统监控方案的设计

该文以运行在银行端国库信息系统为例,以提高生产运行过程中运维自动化程度为目的,研究了系统运行中的联机交易、批量运行、应用可用性等特点.在对监控需求进行分析的基础上,设计了数据采集层、数据展示层、应用展示层3层系统监控结构,对采集到的运行数据进行处理.通过Web服务器、邮件系统、消息服务平台进行展示和报警,目前该系统设计可以充分满足实际运维需要,保障了国库信息系统的安全正常运行.     

一种优化内容适配技术的设计与实现

针对传统内容适配技术的特点和目前手机浏览器的发展现状,本文提出优先适配浏览器的内容适配技术。在传统内容适配技术上增加uA特征串和Accept特征串作为内容适配参数,并设计浏览器优先终端、终端优先Accept的适配规则。综合网络侧适配和终端侧适配优点,有效优化终端上的内容适配率,使得终端能够动态地、智能地针对不同的手机浏览器适配最佳的浏览版本。     

防止过拟合的属性约简

近年来,机器学习的过拟合问题备受关注,尤其在属性约简中。为解决这一难题,提出一种融合集成策略和去除操作的算法。首先将训练模型数据平分为◢M份;然后将其中M◣-1份采用集成策略进行潜在约简计算;最后将剩余的一份进行提前测试,一旦发生过拟合则将刚加入的属性从潜在约简集中去除。利用提前测试潜在属性约简的方法来防止过拟合现象的发生,几组UCI数据的实验结果说明了新算法的有效性,同时为丰富和发展属性约简提供了一种新的方向。     

深圳市大康河综合整治工程生态化治理研究

以大康河综合整治工程为背景对河道生态化整治进行研究,对工程涉及的防洪、水质、景观等基本现状进行评价,提出了生态治理的指导思想,并具体介绍了防洪、水质、景观等综合治理措施,通过对大康河的综合整治,使得工程既能满足防洪要求又能实现良好的生态景观效果。     

Discovering small-world in association link networks for association learning

Association Link Network (ALN) is a kind of Semantic Link Network built by mining the association relations among multimedia Web resources for effectively supporting Web intelligent application such as Web-based learning, and semantic search. This paper explores the Small-World properties of ALN to provide theoretical support for association learning (i.e., a simple idea of “learning from Web resources”). First, a filtering algorithm of ALN is proposed to generate the filtered status of ALN, aiming to observe the Small-World properties of ALN at given network size and filtering parameter. Comparison of the Small-World properties between ALN and random graph shows that ALN reveals prominent Small-World characteristic. Then, we investigate the evolution of Small-World properties over time at several incremental network sizes. The average path length of ALN scales with the network size, while clustering coefficient of ALN is independent of the network size. And we find that ALN has smaller average path length and higher clustering coefficient than WWW at the same network size and network average degree. After that, based on the Small-World characteristic of ALN, we present an Association Learning Model (ALM), which can efficiently provide association learning of Web resources in breadth or depth for learners.     

FAULT DIAGNOSIS OF HYDRAULIC SERVO SYSTEM USING THE UNSCENTED KALMAN FILTER

Fault occurrence can be embodied by the physical parameter variations of the hydraulic servo system. Faults can, therefore, be diagnosed according to the model coefficient variations of the hydraulic servo system. This paper proposes an approach for fault diagnosis based on the unscented Kalman filter (UKF) with a mathematical model of the hydraulic servo system. The mathematical model is established using the dynamic equations of the hydraulic servo system. Based on the fault mechanism analysis results, several important system model parameters that can separately represent different faults in different components of the hydraulic servo system are chosen. Discrete state space equations are derived from the dynamic equations. The UKF algorithm is used to estimate the important system model parameters of the hydraulic servo system by utilizing the discretized state space model. According to the variations of these model parameters, the fault modes and locations of the hydraulic servo system can be diagnosed and isolated. Two types of faults, namely, abrupt fault in servovalve gain and slow wear fault in hydraulic cylinder piston, which cannot be directly detected from the system output, are introduced individually to the hydraulic servo system in this work. By comparing with the extended Kalman Filter, three different experimental cases are used to validate the effectiveness of the UKF for hydraulic servo system fault diagnosis.     

SSI:一种IPv6/IPv4多址同源识别模型

IPv6/IPv4共存环境下多址同源识别是共存网络管理与拓扑发现的一个关键问题。现有研究主要集中于子网内部的双栈发现及单一IP协议栈中的别名解析,难以识别远程IPv6/IPv4共存网络中的多址同源。通过分析同源地址间的本质联系,提出一种IPv6/IPv4多址同源识别模型(SSI),该模型综合利用特殊地址格式匹配、TCP时钟指纹比对和上层协议短时致瘫等多种方式来提高同源地址的识别能力。实验结果表明,上述方法均可有效识别IPv6/IPv4多址同源;SSI模型具有较理想的识别率和正确率。     

使用QTP对Silverlight应用进行自动化测试的研究与实践

Silverlight作为一个跨浏览器、跨平台的插件,将视频、交互性内容,以及其他应用完好的融合在一起,为用户提供了统一而丰富的体验。通过使用QTP把人为驱动的测试行为转换为机器执行的过程,实现对Silverlight应用的自动化测试。本文研究介绍了使用QTP对Silverlight应用进行自动化测试的方法,描述了具体的操作步骤以及解决方法。     

密集标志点集的拓扑保持变换方法*

为了解决图像变换后拓扑结构不保持的问题,提出了一种密集标志点集情况下的拓扑保持变换方法.该方法首先确定拓扑不保持的局部区域;然后确定拓扑不保持区域的方向角;最后根据该方向角确定并删除密集标志点集中引起拓扑关系不保持的标志点,从而得到拓扑关系保持的变换结果.实验证明该方法能较好地解决密集标志点情况下的拓扑不保持问题,不仅效率高,而且配准效果好.     

钛纳米改性聚合物防腐涂料的研究

为保护大庆油田三元复合液中油管,以钛纳米改性聚合物为主要原料,研制了钛纳米改性聚合物重防腐涂料.采用透射电子显微镜(TEM)研究了钛纳米改性聚合物平均粒径.采用正交试验法,确定最佳原料配比.采用扫描电子显微镜(SEM)研究了漆膜腐蚀.采用金相显微镜研究了钛纳米改性聚合物在漆膜中的分布.探讨了油管的腐蚀机理和钛纳米涂料的防护机理.实验结果表明:钛纳米含量为6%时,涂料具有最佳的防腐蚀效果,能很好的保护大庆油田三元复合液中的油管,并具有优异的抗化学药品介质的腐蚀性能.