容灾备份技术、产品和应用现状的分析与研究

该文首先结合不同应用背景给出了容灾备份技术的系统结构,对位于该系统结构中不同层次的容灾备份技术进行了详细的阐述,其次分析了本地容灾、异地容灾、数据容灾和应用容灾方案的工作原理和各自特点,最后给出对应的产品和方案并完成对不同容灾备份方法的分析与比较。     

容灾备份技术、产品和应用现状的分析与研究

该文首先结合不同应用背景给出了容灾备份技术的系统结构,对位于该系统结构中不同层次的容灾备份技术进行了详细的阐述,其次分析了本地容灾、异地容灾、数据容灾和应用容灾方案的工作原理和各自特点,最后给出对应的产品和方案并完成对不同容灾备份方法的分析与比较。     

高光谱遥感岩矿识别填图的技术流程与主要技术方法综述

自20世纪80年代以来,伴随着多种航空和航天成像光谱仪的研制成功和投入运行,一系列的图像光谱基本处理手段和实验室岩矿光谱分析技术方法,如最小噪声分量(MNF)变换-像元纯度指数(Pixel Purity Index,PPI)-N维可视化(N-Dimensional Visualization)、岩石类型系统光谱分类、多变量统计分析、矿物光谱特征确认的概率分析、MGM技术等相继发展起来,从而为形成成像光谱岩矿填图的完整技术流程打下了坚实的技术基础。分析了多种岩矿光谱分析的技术方法,同时指出,不同方法具有各自的优、缺点,针对不同应用目标需要不同的矿物识别与岩矿填图方案;混合方法的开发应用和从可见光到微波波段的融合应用在未来更为重要。     

统一身份认证方法的研究

随电子政务和电子商务的广泛应用,每个应用系统都不同的身份认证技术。这给系统管理员和用户带来了很多重复的工作量,管理员需要在不同的业务应用系统上配置、维护不同的身份认证方式;用户在使用不同的业务系统时需要记忆、使用不同的口令多次登录。为解决上述问题,统一身份认证方法的研究就被提了出来。分析了现有网络安全中的统一身份认证相关技术一些协议。具体阐述了Liberty协议和Passport两种统一身份认证方法的工作原理和实现过程,分析比较了这2种协议优缺点。     

水下GPS应用方法研究

研究了GPS技术在水下目标测控中的应用方法和工作模式,分析了实际应用中的关键技术,探讨了不同类型目标的实时定位算法.     

大数据技术在通信领域的应用研究

随着通信业务数量和业务类型的增加,运营商在运营过程中产生了海量的数据,为通信运营商带来了挑战的同时也带来了机遇.采用有效的数据分析方法可获取重要的有价值的信息,重点研究相关性分析、深度学习和聚类分析等技术,以及大数据在通信领域的应用,分析了不同的应用采用的不同技术,阐述了技术的原理和应用的方案,解决通信领域发展中的问题.     

Web数据库访问技术探析

Web数据库技术伴随着WWW的成长，成为当前信息技术人员关注的热点之一。更好地了解各种技术的特点，有利于帮助在不同的应用下选择不同的技术实现。文章介绍了近年来Web数据库访问技术的发展和不同的实现方法，并对几种主流技术CGI、Web服务器API、对象Web、Java技术以及ASP等逐一进行了详细的分析。文章尤其对近两年来应用更为流行的Java技术以及ASP技术和发展重点进行了详细讨论，同时比较了目前两大主流技术ASP和JSP各自的优缺点。     

Java技术在概率统计网络教学上的应用

本文介绍了Java Applet技术在网络教学上的应用,并结合不同的实例详细阐述了在概率统计网络教学中应用Java Applet技术的方法和技巧.     

基于贝叶斯技术的P2P流量识别方法的研究

P2P技术的应用为人们提供了高效率的网络传输,同时这些应用也消耗了大量的网络带宽。为了有效地管理和控制不同类别的P2P流量,建立准确的P2P流量分类模型具有十分重要的理论意义和现实价值。基于贝叶斯分类技术,提出一种P2P流量分类方法,该方法利用网络流量的统计特征和基于统计理论的贝叶斯分类方法,对不同应用类型的P2P网络流量进行分类研究。实验结果表明,该方法具有较高的分类精确度。     

多模医学图像融合技术的原理、应用与最新进展

利用图像融合技术,将不同模态的医学图像有机地结合在一起,可以充分利用各种医学图像的优点,为临床诊断和治疗提供帮助。该文主要介绍了多模态医学图像融合技术的基本概念、各种融合技术以及实现方法原理,重点阐述了基于小波变换的方法,并对不同融合技术进行评估,介绍了图像融合技术的应用,最后介绍了医学图像融合技术存在的问题、最新进展与研究前景。     

A comparative review of camera calibrating methods with accuracy evaluation

Camera calibrating is a crucial problem for further metric scene measurement. Many techniques and some studies concerning calibration have been presented in the last few years. However, it is still difficult to go into details of a determined calibrating technique and compare its accuracy with respect to other methods. Principally, this problem emerges from the lack of a standardized notation and the existence of various methods of accuracy evaluation to choose from. This article presents a detailed review of some of the most used calibrating techniques in which the principal idea has been to present them all with the same notation. Furthermore, the techniques surveyed have been tested and their accuracy evaluated. Comparative results are shown and discussed in the article. Moreover, code and results are available in internet.     

数据可视化的研究与发展

针对数据可视化是可视化技术在大型数据库的应用中提出的新的数据分析和处理技术，该文介绍了数据可视化的概念和发展状况，然后针对大型数据集介绍了几种数据可视化技术以及它们的代表方法，并对数据可视化和科学计算可视化进行了分析和比较，最后探讨了数据可视化技术的研究发展方向。     

On-line motif detection in time series with SwiftMotif

This article presents SwiftMotif, a novel technique for on-line motif detection in time series. With this technique, frequently occurring temporal patterns or anomalies can be discovered, for instance. The motif detection is based on a fusion of methods from two worlds: probabilistic modeling and similarity measurement techniques are combined with extremely fast polynomial least-squares approximation techniques. A time series is segmented with a data stream segmentation method, the segments are modeled by means of normal distributions with time-dependent means and constant variances, and these models are compared using a divergence measure for probability densities. Then, using suitable clustering algorithms based on these similarity measures, motifs may be defined. The fast time series segmentation and modeling techniques then allow for an on-line detection of previously defined motifs in new time series with very low run-times. SwiftMotif is suitable for real-time applications, accounts for the uncertainty associated with the occurrence of certain motifs, e.g., due to noise, and considers local variability (i.e., uniform scaling) in the time domain. This article focuses on the mathematical foundations and the demonstration of properties of SwiftMotif—in particular accuracy and run-time—using some artificial and real benchmark time series.     

基于黑板结构的软件测试灰箱方法

本文提出了一种新的基于黑板结构的软件测试方法。软件测试是保证软件质量的主要问题之一,传统的软件测试方法主要有黑箱方法和白箱方法。所用方法是介于这两者之间的一种方法,故称之为灰箱方法。创新之处在于：首先,黑板结构被用来记录软件执行过程中的各种状态和信息,以作为自动生成的软件测试信息;其次,对基于黑板结构的灰箱方法各种优缺点及适用范围进行了讨论。     

接地网缺陷诊断的研究综述

总结了国内外接地网缺陷诊断方法,这些方法包括大电流法、接地网节点分析、电磁场分析、电化学方法和无损检测方法等。随后,对接地网的各种缺陷诊断方法进行了分类和比较。同时还介绍了接地网缺陷诊断方法的发展和现状,在此基础上对接地网缺陷诊断方法的发展进行了展望,指出综合检测和在线监测是其发展方向。     

Clustering with artificial neural networks and traditional techniques

In this article, two clustering techniques based on neural networks are introduced. The two neural network models are the Harmony theory network (HTN) and the self‐organizing logic neural network (SOLNN), both of which are characterized by parallel processing, a distributed architecture, and a large number of nodes. After describing their clustering characteristics and potential, a comparison to classical statistical techniques is performed. This comparison allows the creation of a correspondence between each neural network clustering technique and particular metrics as used by the corresponding statistical methods, which reflect the affinity of the clustered patterns. In particular, the HTN is found to perform the clustering task with an accuracy similar to the best statistical methods, while it is further capable of proposing an optimal number of groups into which the patterns may be clustered. On the other hand, the SOLNN combines a high clustering accuracy with the ability to cluster higher‐dimensional patterns without a considerable increase in the processing time. © 2003 Wiley Periodicals, Inc.     

自由立体显示技术及其发展

自由立体显示技术是指不需佩戴立体眼镜等附属设备的3维立体显示技术.它可分为全息立体技术、3维集成成像技术、体3维显示技术和基于视差的自由立体显示技术.其中体3维显示技术和基于水平视差的自由立体技术发展很快.本文首先论述了静态体3维显示技术和扫射体3维显示技术两类不同的体3维显示技术近几年来的研究进展;然后从所使用的光学光栅类型及复用方法上综述了基于视差的自由立体显示技术的现状和特点;最后对比了体3维显示技术和基于水平视差的自由立体技术优缺点.     

Analysis of Tsai calibration method using two- and three-dimensional calibration objects

Camera calibration is a fundamental process for both photogrammetric and computer vision. Since the arrival of the direct linear transformation method and its later revisions, new methods have been developed by several authors, such as: Tsai, Heikkilä and Zhang. Most of these have been based on the pinhole model, including distortion correction. Some of these methods, such as Tsai method, allow the use of two different techniques for determining calibration parameters: a non-coplanar calibration technique using three-dimensional (3D) calibration objects, and a coplanar technique that uses two-dimensional (2D) calibration objects. The calibration performed by observing a 3D calibration object has good accuracy, and produces very efficient results; however, the calibration object must be accurate enough and requires an elaborate configuration. In contrast, the use of 2D calibration objects yields less accurate results, is much more flexible, and does not require complex calibration objects that are costly to produce. This article compares these two different calibration procedures from the perspective of stereo measurement. Particular attention was focused on the accuracy of the calculated camera parameters, the reconstruction error in the computer image coordinates and in the world coordinate system and advanced image-processing techniques for subpixel detection during the comparison. The purpose of this work is to establish a basis and selection criteria for choosing one of these techniques for camera calibration, according to the accuracy required in each of the many applications using photogrammetric vision: robot calibration methods, trajectory generation algorithms, articulated measuring arm calibration, and photogrammetric systems.     

基于电子商务应用的协同过滤技术改进综述

电子商务个性化推荐具有重要的意义。协同过滤是电子商务个性化的重要实现技术之一。本文针对UBCF和IBCF方法在应用实践上的问题,总结了目前文献对于协同过滤技术的改进思路,归纳了对于CF推荐技术的各种新型算法技术文献,总结了目前对于CF技术不同的改进思路。     

Integrating structured OO approaches with formal techniques for the development of real-time systems

The use of formal methods in the development of time-critical applications is essential if we want to achieve a high level of assurance in them. However, these methods have not yet been widely accepted in industry as compared to the more established structured and informal techniques. A reliable linkage between these two techniques will provide the developer with a powerful tool for developing a provably correct system. In this article, we explore the issue of integrating a real-time formal technique, TAM (Temporal Agent Model), with an industry-strength structured methodology known as HRT-HOOD. TAM is a systematic formal approach for the development of real-time systems based on the refinement calculus. Within TAM, a formal specification can be written (in a logic-based formalism), analysed and then refined to concrete representation through successive applications of sound refinement laws. Both abstract specification and concrete implementation are allowed to freely intermix. HRT-HOOD is an extension to the Hierarchical Object-Oriented Design (HOOD) technique for the development of Hard Real-Time systems. It is a two-phase design technique dealing with the logical and physical architecture designs of the system which can handle both functional and non-functional requirement, respectively. The integrated technique is illustrated on a version of the mine control system.