安全访问控制的XML关键字检索

XML(extensive makeup language)的关键字检索简单易用,用户不必了解数据库的模式,受到人们的广泛关注。当前的相关研究主要集中于关键字检索的算法以及返回结果的组织和排序,却忽视了其中的安全性问题。结合XML关键字搜索和XML安全控制,研究了基于安全访问控制的XML关键字检索技术。在XML关键字的最小最低公共祖先(smallest lowest common ancestors,SLCA)和基于视图的安全访问控制规则的基础上,确定基于安全访问控制规则的XML关键字检索结果;建立基于安全视图的关键字索引,以及在此基础上的关键字检索算法。实验表明,为了满足安全访问控制规则,该算法虽然需要额外的时间开销但总体上是高效的。     

分组移动对象的区域偏离监视算法

以大量可分组移动对象的区域偏离监视问题为研究背景,扩展了基于区域覆盖的空间索引结构——虚拟网格四分树,提出了一种新的索引结构VGQ_G。基于VGQ_G,实现了区域偏离监视算法RDMA;给出了监视算法的性能对比实验。实验结果表明,在移动对象数量足够大的时候,设计的监视算法比朴素的监视算法在响应时间上提高了一个数量级。     

路网数据流的预测聚集查询新方法研究

时空数据流的聚集查询技术已经成为数据库领域的研究热点。到目前为止,还没有一种有效的全时态聚集索引适用于非欧氏空间的路网数据流聚集查询。实现路网数据流的全时态聚集查询,必须解决:(1)路网的非欧氏空间特性问题;(2)路网上移动对象的重复计数、非均匀分布以及预测聚集问题。Sketch RR-tree解决了非欧氏空间特性和重复计数问题;为解决非均匀分布问题,借鉴草图划分思想,提出动态草图索引结构DynSketch:采用AMH智能划分Sketch RR-tree,使每个划分区域内车辆均匀分布,以提高聚集查询质量;同时,基于DynSketch,结合ES预测模型,提出了路网数据流的预测聚集查询算法。     

一种面向连续数据保护的分布式存储模型研究

一个典型的连续数据保护(CDP,Continuous Data Protection)系统必须具有一个高效的存储系统来支撑.本文提出了一种分布式的存储模型,在此基础之上设计了一个面向CDP应用的分布式存储系统.同传统CDP系统相比,本文提出了分布式存储应用于CDP应用,将文件级和块级的数据存储都归纳到一个存储系统中;通过引入了元数据和数据分离的思想,并且把数据分级存储.根据原型系统的理论论证以及测试,结果表明,论文所提存储模型很好的解决了CDP服务器低效率,高负荷的问题,并且具有低成本的优势.     

Evaluating methods of investment project and optimizing models of portfolio selection in fuzzy uncertainty

This paper deals with the problems of both project valuation and portfolio selection under the assumption that the investment capitals and the net cash flows of the projects are fuzzy variables. Using the credibilistic expected value and the credibilistic lower semivariance of fuzzy variables, this paper proposes both the credibilistic return index and the credibilistic risk index, which are measures of investment return and investment risk with annuity form for evaluating single project. Moreover, a composite risk-return index for selecting the optimal investment strategy is also presented. Then, we set up a general project portfolio optimization model with fuzzy returns and two specific models: triangle and interval fuzzy returns. Furthermore, we provide two algorithms: the improved heuristic rules based on genetic algorithm and the traversal algorithm. Finally, two numerical examples are presented to illustrate the efficiency and the effectiveness of these proposed optimization methods.     

An effective 3-in-1 keyword search method over heterogeneous data sources

Conventional keyword search engines are restricted to a given data model and cannot easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an efficient and adaptive keyword search method, called EASE, for indexing and querying large collections of heterogeneous data. To achieve high efficiency in processing keyword queries, we first model unstructured, semi-structured and structured data as graphs, and then summarize the graphs and construct graph indices instead of using traditional inverted indices. We propose an extended inverted index to facilitate keyword-based search, and present a novel ranking mechanism for enhancing search effectiveness. We have conducted an extensive experimental study using real datasets, and the results show that EASE achieves both high search efficiency and high accuracy, and outperforms the existing approaches significantly.     

安全检查保障信息系统安全

信息安全检查是目前世界各国保障信息系统安全采取的常用手段。本文首先在重点描述美国使用较为成熟的信息安全检查机制、指标体系,及其各政府部门的得分和评级、列名排序等相关情况和方法的基础上,简单介绍了俄罗斯、英国和德国信息系统安全检查的现状。接着本文在介绍我国电力、保险、电信、税务行业信息系统安全检查状况的基础上,分析了目前国内信息系统安全检查工作中存在的主要问题。最后根据我国政府信息系统安全检查体系建设的现状,对我国下一步信息系统安全检查工作提出了看法。     

Scalable multi-feature index structure for music databases

The management of large collections of music data in a multimedia database has received much attention in the past few years. In the majority of current work, researchers extract the features, such as melodies, rhythms, and chords, from the music data and develop indices that will help to retrieve the relevant music quickly. Several reports have pointed out that these music features can be transformed and represented in forms of music feature strings or numeric values so that indices can be created for music retrieval. However, there are only a small number of existing approaches which introduce multi-feature index structures for music queries while most of the others are for developing single feature indices. The existing music multi-feature index structures are memory consuming and have lack of scalability. In this paper, we will propose a two-tier music index structure which is an efficient and scalable approach for multi-feature music indexing. Our experimental results show that this new approach outperforms existing multi-feature index schemes.     

Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska

Impacts of global climate change are expected to result in greater variation in the seasonality of snowpack, lake ice, and vegetation dynamics in southwest Alaska. All have wide-reaching physical and biological ecosystem effects in the region. We used Moderate Resolution Imaging Spectroradiometer (MODIS) calibrated radiance, snow cover extent, and vegetation index products for interpreting interannual variation in the duration and extent of snowpack, lake ice, and vegetation dynamics for southwest Alaska. The approach integrates multiple seasonal metrics across large ecological regions.Throughout the observation period (2001-2007), snow cover duration was stable within ecoregions, with variable start and end dates. The start of the lake ice season lagged the snow season by 2 to 3 months. Within a given lake, freeze-up dates varied in timing and duration, while break-up dates were more consistent. Vegetation phenology varied less than snow and ice metrics, with start-of-season dates comparatively consistent across years. The start of growing season and snow melt were related to one another as they are both temperature dependent. Higher than average temperatures during the El Niño winter of 2002-2003 were expressed in anomalous ice and snow season patterns. We are developing a consistent, MODIS-based dataset that will be used to monitor temporal trends of each of these seasonal metrics and to map areas of change for the study area.