密文数据库查询优化技术①

为了解决数据库加密后查询效率低的问题,针对数据库加密技术的实际应用,提出了一些解决方案。通过对数值型密文数据使用标志位,为字符型数据创建外存索引文本,缩小了查询范围,提高了数据查询效率。最后进行实验测试分析,证实了方法的有效性。     

一种适用于外包数据库的综合密文索引技术

外包数据库中密文索引技术的主要困难是如何减少查询结果中冗余元组的数量.目前的方案面临着查询命中率低和查询条件单一等问题.本文首先根据查询的不同要求,将数据分类,即需要执行各种模糊查询的数据和数值比较的数据.然后分别对它们建立密文索引.对于前者,通过映射函数为构成属性域的所有字符确定字符索引,从而形成一种新的基于映射的密文索引方法;对于后者,采用保序加密方法作为密文索引方法.并在此基础上,提出一种适用于外包数据库的综合密文索引技术,同时分析了该方法的有效性和安全性.最后,给出了应用于外包数据库的密文查询策略.     

基于错检期望值的密文索引技术

如何提高密文数据库的查询效率是数据库加密技术面临的一个主要问题.密文索引技术是提高数据库中密文查询效率的手段之一,但现有的密文索引方法存在查询命中率低和信息泄露衡量问题.本文首先根据查询概率的实际分布情况,提出整体错检期望值的概念,以此为基础提出一种适用于非等概率查询的复合桶划分密文索引技术,并给出了相应的密文查询策略.然后,针对密文索引的信息泄露问题给出衡量和消减方法.最后,通过实验对算法进行了分析和验证.     

密文动态后继树精简索引模型研究

随着信息技术的发展,很多单位累积了海量的科研和生产数据,其中部分是涉密数据.如何从这些海量数据中安全且快速找到所需的涉密信息是用户面临的难题.密文索引是密文全文检索系统的核心模块,为保证在密文状态下进行高效的全文检索,提出了一种密文动态后继树精简索引模型.该索引模型支持密文子串查询、潜在分词查询和索引动态更新,具有较高的查全率和查准率;给出该模型密文索引的创建、检索、和索引密文更新算法,并对其安全性和效率进行分析.实验表明,与其他已有的索引模型相比,该模型具有较好的时间效率,更适合应用于密文全文检索领域.     

基于最佳桶划分策略的密文索引技术

在过去的几十年中,人们一直为寻求适用于数据库系统且安全高效的数据加密方法而努力,取得了一些研究成果,但到目前为止仍然没有解决加密后秘密查询命中率低、后处理代价大和密文索引安全性差的问题.本文将视图安全的判定条件k-匿名引入到了对密文索引列安全性的判定中,并针对由于构建密文索引而造成的信息泄露问题,提出了通过构造哈希函数和对多敏感属性统一进行桶划分并建立密文索引两种解决方案.最后提出了一种最佳桶划分策略,在桶划分子区间数目根据安全要求被限定的情况下,利用该桶划分算法建立密文索引可获得最优的查询命中率,从而平衡了密文索引的安全性和查询效率的问题.     

基于聚类索引的多关键字排序密文检索方案

为了提高密文检索的效率和精度,提出基于聚类索引的多关键字排序密文检索方案.首先利用改进的Chameleon算法对文件向量聚类,聚类过程中通过记录关键字位置对文件向量进行降维处理.其次,提出适合聚类索引的检索算法,使得在查询过程中可以排除大量与查询向量无关的文件向量,减少了不必要的计算消耗.再次,在聚类过程中引入杰卡德相似系数来计算文件向量之间的相似度以及设定合适的阈值提高聚类质量.在真实数据集上进行了实验,理论分析和实验结果表明：在保障数据隐私安全的前提下,该方案较传统的密文检索方案有效地提高了密文检索的效率与精度.     

使用SQL实现数字电视业务计费算法与仿真

基于数据库和SQL语言在数据查询方面高效的特性,通过对数字电视包月业务的计费规则、数据特性的分析,使用SQL语言实现数字电视包月业务计费处理算法.在对数字电视业务运营中的计费规则、计费算法和数据特性分析基础上,按照数据分类处理原则进行算法分解;在用SQL语言构造大批量数据计费处理算法时,通过构造临时字段来优化查询效率;通过数据库的自动调度机制,实现定时执行计费结算任务.不同数量级别数据对算法的仿真实验表明,算法在数字电视包月业务的计费处理中具有很高的效率.为数据库系统应用数据处理提供了一种模式.     

XML密文数据库检索模型的研究

针对外包XML数据库安全性差、密文检索效率低等问题,提出一种XML数据库密文检索模型,通过建立密文数据库的值索引和结构索引,并采用分桶管理策略记录值索引和结构索引中的入口地址,实现对XML数据的快速检索。此模型安全性高,通过支持范围的查询,容易实现数据的更新,可以有效地提高密文检索性能。     

通信网络数据云存储数据库可验证密文检索研究

云端数据加密在保障数据安全的同时,也给数据检索工作带来了困难.为此,提出一种通信网络数据云存储数据库可验证密文检索方法.首先分析云存储数据库加密形式,选取字符型数据作为加密检索对象;然后预处理字符型数据,建立密文索引结构,再对用户检索词进行处理,包括去停用词、查询切分、查询扩展、检索词加密等过程,最后通过计算密文检索词...     

基于Huffman树的密文索引构建方案

为实现安全高效的云端数据密文检索,提出基于Huffman树的密文索引构建及检索方案。将Huffman树形结构及其编码的思想引入密文索引结构的构建方案中,改进基于知识理解的中文分词算法提取明文关键词,通过改进的TF-IDF规则对检索结果集进行排序以返回最符合用户需求的Top-K个结果,并增加伪造的索引结点以增强索引结构的抗统计分析攻击能力。通过实验测试和性能对比分析可得出结论：方案在保证密文和索引信息安全性的同时,可以提高密文检索的效率。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.