Web服务事务处理系统的研究与实现

Web服务具有良好的互操作性,能有效地支持软件的集成.在集成和交互过程中,Web服务需要事务的支持获得一致和可靠的结果.通过分析Web服务事务处理的基本原理、运行过程和机制,设计和实现了一个Web服务事务处理系统.该系统包括客户端、协调器、参与者和监控管理工具四部分,其中客户端创建、提交或者取消Web服务事务,协调器是管理和控制事务运行的协调中心,参与者是参与事务的Web服务,监控管理工具是提供给管理员的可视化工具.在协调器和参与者的交互过程中使用两阶段提交协议保证事务的原子性和一致性.该系统在处理过程中具有一定的实用性和灵活性,并能满足跨企业商业事务的需求.     

GPS/PCS组合系统的探讨

提出全球定位系统（ＧＰＳ）和个人通信业务（ＰＣＳ）组合是应用需求和技术发展的必然趋势，分析了ＧＰＳ／ＰＣＳ组合的性能，讨论了它的通信方式。使用这种组合不仅提高了ＧＰＳ的定位精度和完好性，而且可及时向监控中心自动报告用户的精确位置     

网格移动定位服务及关键技术

分析了网格移动定位服务的技术定位。在分析当前移动定位服务应用模式不足的基础上,提出了网格移动定位服务的应用模式,并基于移动定位服务的产业链,构建了网格移动定位服务的体系结构。深入研究了面向网格移动定位服务的元数据服务、资源代理服务以及资源副本服务三个关键技术。实现了基于网格移动定位服务的公交导航服务,并阐述了网格移动定位服务的应用前景,故对未来移动定位服务的应用提供理论和技术参考。     

基于ASP.NET的Web服务

分布计算的发展导致了W eb服务的产生,W eb服务是组件模型对Internet的扩展,独立于平台。本文介绍了W eb的概念及用ASP.NET实现W eb服务的方式。利用一个简单的例子说明了在V isual Basic.NET上开发服务组件的方法及客户端如何调用W eb服务的步骤。     

Shareable Instruments and Observatories for the Joint Research Center on Space Weather of the Siberian Branch of Russian Academy of Sciences and Chinese Academy of Sciences

Presented are the ideas and proposals in regards to the pooling of by RAS, SB, ISTP, and CSSAR,CAS toward coordinated usage of existing ground-based and orbiting helio-geophysical observatories, single large installations as well as creating, forecasting services and new observing facilities, in the interests of achieving a profitable activity of the China-Russia Joint Research Center on Space Weather (JRCSW).      

基于Web和层次实例推理的CAPP的研究

针对网络时代制造业企业对CAPP系统的现实要求,研究了以互联网为基础,以开放、通用、智能为特征的CAPP模型.模型采用数据库、Web服务器和客户端三层结构,实现了CAPP的在线服务.本文提出了一种称为基于层次实例推理的工艺生成方法,该方法将工艺计划分为工艺过程、工序和工步三个层次,并对这三个层次分别进行基于实例的分层推理,使工艺生成规则描述的随意性为基于粒度描述的规范性,降低了工艺规程组合和重用的粒度.由于采用基于层次的实例推理方法,使工艺生成既具派生又具创成的特征,提高了工艺生成的通用性和实用性.     

非合作目标智能感知技术研究进展与展望

智能感知是实现航天器在轨精细化操控过程的关键技术,是在轨服务技术智能化的重点发展方向之一。空间目标智能感知包括位姿测量、三维重建与部位识别等关键技术,涉及小样本、多模态、模型适应与高维数据等问题。从工程应用角度出发,对非合作目标智能感知技术的研究现状进行系统的梳理与总结。首先,总结典型非合作在轨感知系统与光学敏感器技术的发展现状;其次,归纳总结了非合作目标智能感知涉及的关键技术;最后,基于研究现状总结和关键技术分析,探讨了非合作目标智能感知目前存在的主要问题,并给出后续发展的建议。     

Analysis of GNSS clock prediction performance with different interrupt intervals and application to real-time kinematic precise point positioning

Continuous and timely real-time satellite orbit and clock products are mandatory for real-time precise point positioning (RT-PPP). Real-time high-precision satellite orbit and clock products should be predicted within a short time in case of communication delay or connection breakdown in practical applications. For prediction, historical data describing the characteristics of the real-time orbit and clock can be used as the basis for performing the prediction. When historical data are scarce, it is difficult for many existing models to perform precise predictions. In this paper, a linear regression model is used to predict clock products. Seven-day GeoForschungsZentrum (GFZ) final clock products sampled at 30 s are used to analyze the characteristics of GNSS clocks. It is shown that the linear regression model can be used as the prediction model for the satellite clock products. In addition, the accuracy of the clock prediction for different satellites are analyzed using historical data with different periods (such as 2 and 10 epochs). Experimental results show that the accuracy of the clock with the linear regression prediction model using historical data with 10 epochs is 1.0 ns within 900 s. This is higher accuracy than that achieved using historical data of 2 epochs. Finally, the performance analysis for real-time kinematic precise point positioning (PPP) is provided using GFZ final clock prediction results and state space representation (SSR) clock prediction results when communication delay or connection breakdown occur. Experimental results show that the positioning accuracy without prediction is better than that with prediction in general, whether using the final clock product or the SSR clock product. For the final clock product, the positioning accuracy in the north (N), east (E), and up (U) directions is better than 10.0 cm with all visible GNSS satellites with prediction. In comparison, the 3D positioning accuracy of N, E, and U directions with visible GNSS satellites whose prediction accuracy is better than 0.1 ns using historical data of 10 epochs is improved from 15.0 cm to 7.0 cm. For the SSR clock product, the positioning accuracy of N, E, and U directions is better than 12.0 cm with visible GNSS satellites with prediction. In comparison, the 3D positioning accuracy of N, E, and U directions with visible GNSS satellites whose prediction accuracy is better than 0.1 ns using historical data of 10 epochs is improved from 12.0 cm to 9.0 cm.     

基于QoS的面向消费者的服务发现

当前万维网服务发现机制并没有考虑消费者对服务质量的需求,消费者需要花很多时间来选择满足自己服务质量的服务.采取了一个QoS (Quality of Service)过滤器,采用服务质量属性量化方法和一个服务质量匹配算法来选取符合消费者服务质量要求的服务,并把服务存储在本地缓存中.这种方法考虑到消费者对服务质量的要求,减少访问远程发现服务器的次数,加快了服务发现速度.通过对本地服务添加标注和关键字来支持消费者服务的个性化.