一种基于点集拓扑分形变幻的云计算登录认证方法

考虑到云服务登录安全性及便捷性的需求,针对单点登录认证模式,提出云计算的统一登录认证方法,并采用点集拓扑分形变幻方法生成随机密钥,提高登录认证的安全等级。首先对云计算登录认证系统结构进行分析,然后以网络公共数据库中的指纹图像为例,进行分形变幻环运算,生成伪随机序列,再将这些序列加密并通过UDP发送给服务器端进行认证,最后进行实例仿真。     

有机多核杂环化合物研究进展

综述有机硼、有机硅、有机锡及有机金属环状化合物的合成和性质。     

TM S320C 6678多核DSP并行访问存储器性能的研究

为充分挖掘多核DSP能力,结合TI的TMS320C6678 DSP的存储器架构,分析了各个关键节点的理论数据传输带宽,展开了对多核DSP主设备(CPU内核、EDMA控制器)并行访问存储器(共享SL2、外部DDR3)的性能研究,并采用数据拷贝测试实验进行验证,最后讨论了影响带宽的因素,对多核软件设计具有一定的指导意义。     

以用户为中心的异构数据集成方法

为了实现用户数据在不同用户应用程序间的共享,将同一用户分布在不同应用程序上的数据按照统一的数据模型组织,并存放在统一的平台上,用异构数据集成技术处理用户数据模型和统一数据模型间的异构问题,使得不同应用平台之间能实现数据共享。     

OpenMDSP: Extending OpenMP to Program Multi-Core DSPs

Abstract Multi-core digital signal processors （DSPs） are widely used in wireless telecommunication, core network transcoding, industrial control, and audio/video processing technologies, among others. In comparison with general-purpose multi-processors, multi-core DSPs normally have a more complex memory hierarchy, such as on-chip core-local memory and non-cache-coherent shared memory. As a result, efficient multi-core DSP applications are very difficult to write. The current approach used to program multi-core DSPs is based on proprietary vendor software development kits （SDKs）, which only provide low-level, non-portable primitives. While it is acceptable to write coarse-grained task-level parallel code with these SDKs, writing fine-grained data parallel code with SDKs is a very tedious and error-prone approach. We believe that it is desirable to possess a high-level and portable parallel programming model for multi-core DSPs. In this paper, we propose OpenMDSP, an extension of OpenMP designed for multi-core DSPs. The goal of OpenMDSP is to fill the gap between the OpenMP memory model and the memory hierarchy of multi-core DSPs. We propose three classes of directives in OpenMDSP, including 1） data placement directives that allow programmers to control the placement of global variables conveniently, 2） distributed array directives that divide a whole array into sections and promote the sections into core-local memory to improve performance, and 3） stream access directives that promote big arrays into core-local memory section by section during parallel loop processing while hiding the latency of data movement by the direct memory access （DMA） of a DSP. We implement the compiler and runtime system for OpenMDSP on PreeScale MSC8156. The benchmarking results show that seven of nine benchmarks achieve a speedup of more than a factor of 5 when using six threads.     

Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network

Algorithms for numeric data classification have been applied for text classification. Usually the vector space model is used to represent text collections. The characteristics of this representation such as sparsity and high dimensionality sometimes impair the quality of general-purpose classifiers. Networks can be used to represent text collections, avoiding the high sparsity and allowing to model relationships among different objects that compose a text collection. Such network- based representations can improve the quality of the classification results. One of the simplest ways to represent textual collections by a network is through a bipartite heterogeneous network, which is composed of objects that represent the documents connected to objects that represent the terms. Heterogeneous bipartite networks do not require computation of similarities or relations among the objects and can be used to model any type of text collection. Due to the advantages of representing text collections through bipartite heterogeneous networks, in this article we present a text classifier which builds a classification model using the structure of a bipartite heterogeneous network. Such an algorithm, referred to as IMBHN （Inductive Model Based on Bipartite Heterogeneous Network）, induces a classification model assigning weights to objects that represent the terms for each class of the text collection. An empirical evaluation using a large amount of text collections from different domains shows that the proposed IMBHN algorithm produces significantly better results than k-NN, C4.5, SVM, and Naive Bayes algorithms.     

异构数据库数据迁移的研究与实现

数据是业务运转的基础．是企业的宝贵资产。企业在系统升级过程中往往会遇到数据迁移问题,由于新系统与旧系统经常存在数据结构异构的情况．使数据迁移工作难以实现。开发一款异构数据库数据迁移工具,该工具通过框架程序在ODBC（Open Database Connectivity）开发平台以及XML技术的支持下实现数据结构异构的数据库数据迁移。     

虚拟化安全服务器研究与设计

随着服务器虚拟化技术的推广与发展,深圳供电局开始引入虚拟化应用来提高硬件资源使用率,虚拟化技术在给深圳供电局带来便利的同时也暴露一些安全问题,例如出现针对虚拟化操作系统的新型攻击,在虚拟环境下无法有效实现访问控制、流量检测及安全审计等隐患。通过对虚拟化环境基础架构及虚拟化环境信息安全整体防护的探讨,提出一套适用于深圳供电局的虚拟化安全服务器解决方案。     

城市慢行交通网络数据建模研究

城市慢行交通系统是现代城市交通系统的重要组成部分,随着多模式城市交通发展,建立便捷和高效的城市慢行交通网络系统成为现代城市解决交通问题和提升交通运行效率的关键措施。基于此,文中应用统一建模语言（UML）和地理标识语言（GML）建立城市慢行交通网络数据模型,提出一种统一的和一致性的交通地理要素定义和性质描述方法,并阐述基于GML的城市慢行交通网络的地理要素和关系表达。研究成果促进了城市交通地理数据的组织、表达、集成、共享和操作,对建立高效的城市慢行交通网络系统具有重要的理论价值。     

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正《计算机与现代化》是计算机专业学术期刊。其特点是:时效性强,密切跟踪计算机科技发展动态,以最快的速度精选刊登计算机专业的新理论、新技术及其在各领域应用成果的论文。本刊系中国科技核心期刊、中国科技论文统计源期刊,《中国学术期刊综合评价数据库》来源期刊,《中国期刊网》《中国学术期刊(光盘版)》全文收录期刊,《中国学术文献网络出版总库》