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基于Shibboleth和SAML的跨校统一身份认证系统 总被引:1,自引:0,他引:1
结合跨域统一身份认证的基础技术平台Shibboleth和跨域统一身份认证的技术标准SAML,设计出跨校统一身份认证系统.该系统可实现用户"异地访问-本地认证"功能,避免了异地认证的繁琐,简化了业务流程;身份联盟各子系统交互采用SAML标准,有效地保证了系统通信的安全,保障了用户的隐私,满足了应用管理的需求. 相似文献
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为了实现大量结构不同的电子病历表单数据网络传输和在Android移动终端界面的合理整合,提出了基于XML的自定义电子病历结构实现表单数据传输并在移动客户端合理布局的设计方案;以XML实现对病历表单及病历数据的封装,通过Web Service实现病历数据的交互,在移动客户端解析封装字段及其数据并在客户端合理布局,实现对跨平台、数据源格式不同的电子病历的查阅、更改,降低软件开发的复杂度,同时提高程序的运行效率。 相似文献
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陈可 《计算机技术与发展》2012,(5)
针对电子病历系统中病人数据如何格式化处理、信息如何交换与共享等问题,展开了基于XML的电子病历数据存储研究.该研究以病人为根的树状结构化的数据结构为分析对象,并借助DTD(文档类型定义)标准定义该数据结构,克服了为适应病历中不同内容结构的变化,而改动程序的传统做法.该文选取DB2作为电子病历的数据管理平台,利用其兼具处理关系数据和XML数据的特点,实现了病历信息的结构化存储及交互,为分布异构系统之间临床信息集成奠定了基础 相似文献
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针对现有虚拟学习环境沉浸感不强,分布式交互能力差的不足,提出了一个远程沉浸基础上的协同虚拟学习环境模型,给出了系统实施的关键技术.该模型以网格为中间件平台,融合分布式、协同式思想.模型采用集中分布式网络架构,通过WEB服务标准开发资源管理和异地同步通信程序,把不同地理位置上分布的虚拟学习子系统通过网格平台整合到一起,为不同地域、不同机构提供学习和合作环境. 相似文献
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为了实现基于增强现实的电子沙盘环境中的异地可视化交互功能,提出了一种面 向虚拟化身的三维表情模拟技术。首先,使用 RGB 摄像头跟踪异地作业人员的表情,基于约 束局部模型(CLM)提取人脸特征点数据后传输到本地;然后,采用基于径向基函数的插值算法 计算虚拟化身面部网格点的坐标,驱动模型模拟出与异地作业人员相同的表情;最后,为了提 高变形算法的精度和效率,提出一种基于贪心算法与人脸肌群分布的插值控制点选取和分区域 插值方法。实验结果表明,该算法能够满足实际应用对实时性和真实感的需求。 相似文献
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针对交易型电子商务在交易环节中业务交互和业务自助的不同,通过对交易型电子商务平台业务流程模型分析以及安全和支付方式需求分析,提出了相应的电子商务业务模型和处理流程,以及金融智能卡的支付安全,具有较强的针对性。特别是针对三表一卡通的金融代收费中间业务平台的设计、银行扩充网上金融中间业务、水电气等应用商简化销售业务,加强管理与服务提供了可行的模型。 相似文献
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Shung-Bin Yan Feng-Jian Wang Department of Computer Science Information Engineering National Chiao Tung University Taiwan 《国际自动化与计算杂志》2005,2(2):195-207
Workflow management systems (WfMSs) are accepted worldwide due to their ability to model and control business processes. Previously, we defined an intra-organizational workflow specification model, Process LANguage (PLAN). PLAN, with associated tools, allowed a user to describe a graph specification for processes, artifacts, and participants in an organization. PLAN has been successfully implemented in Agentflow to support workflow (Agentflow) applications. PLAN, and most current WfMSs are designed to adopt a centralized architecture so that they can be applied to a single organization. However, in such a structure, participants in Agentflow applications in different organizations cannot serve each other with workflows. In this paper, a service-oriented cooperative workflow model, Cooperative Agentflow Process LANguage (CA-PLAN) is presented. CA-PLAN proposes a workflow component model to model inter-organizational processes. In CA-PLAN, an inter-organizational process is partitioned into several intra-organizational processes. Each workflow system inside an organization is modeled as an Integrated Workflow Component (IWC). Each IWC contains a process service interface, specifying process services provided by an organization, in conjunction with a remote process interface specifying what remote processes are used to refer to remote process services provided by other organizations, and intra-organizational processes. An IWC is a workflow node and participant. An inter-organizational process is made up of connections among these process services and remote processes with respect to different IWCs. In this paper, the related service techniques and supporting tools provided in Agentflow systems are presented. 相似文献
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中国新医改的大背景下,用互联网+、大数据等技术助推进行深化医改,让改革红利惠及更多群众,加快健康信息化资源体系建设,实现全区域数据共享、全过程业务监督、全方位数据分析、跨部门业务协同、全流程惠民服务的全面健康医疗大数据平台应运而生。平台运用大数据与云平台技术、OLAP多维分析、SOA体系结构,解决了制约平台建设的系统分割、业务流程不统一、以及纵向信息系统的“孤岛”问题。 相似文献
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E-mail is used as the primary tool for business communication and collaboration. This paper presents a novel e-mail interaction mining method to discover and analyze e-mail-driven business processes. An e-mail-driven business process is perceived as a human collaboration process that consists of interactions between people who may each play different roles. The notion of message threads (i.e. sets of e-mail messages that are replies to each other) is used as the fundamental building block to construct the interactions in the e-mail-driven business process. The proposed method adopts an interaction-centric business process modeling language to visualize the discovered e-mail-driven business process. The method identifies message threads from an e-mail archive, and constructs an interaction-centric process model based on the temporal order and similarity of the threads. Process-related information is extracted from e-mail header fields. A software tool, named E-mail Interaction Miner, implements the proposed method. A case study is used to apply and evaluate the method on a set of e-mails collected from a Dutch gas transport company. The evaluation results are discussed. These results comprise business process improvement opportunities for the case organization, and contributions to theory and language development. 相似文献
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《Information & Management》1999,35(1):53-62
A one-to-one marketing paradigm has emerged that suggests organizations will be more successful if they concentrate on obtaining and maintaining a share of each customer rather than a share of the entire market, with information technology (IT) being the enabling factor. This paper presents four key elements that provide the necessary steps that allow an organization to position its people, business processes, and information systems to establish and take advantage of this emerging paradigm. The key elements are: (1) business process analysis, (2) integration and redesign of customer data, (3) IT-enabled customer interaction, and (4) accessibility/transmission of organizational information. Further, this paper discusses the importance of integrating these four IT elements for achieving effective customer interaction. 相似文献
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参与组织随机行为是评价业务协同有效实施的一个关键因素。结合进程代数和马尔科夫链,提出了一种协同业务过程的随机行为分析方法。首先,使用有限状态自动机建模每个参与组织的业务过程,通过引入异步消息通信关系定义协同业务过程。其次,提出将参与组织业务过程转换成通信顺序进程(Communication Sequential Process,CSP)方法,进而将每个参与组织业务过程对应CSP进程并发组合得到协同业务过程对应的CSP进程,并根据CSP操作语义构建协同业务过程的状态迁移模型。最后,引入状态迁移模型正则化概念,从理论上证明正则化的状态迁移模型与一个齐次马尔科夫链相对应,进而根据平衡方程求得状态迁移系统中每个状态的稳定概率,以此为基础实现参与组织随机行为分析。通过对电设备采购过程建模与随机行为分析阐述该方法的可行性和有效性。 相似文献
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渔情预测, 即预测未来鱼群的位置和该区域内鱼量的丰富度. 通过了解未来的渔情信息, 管理者可以制定行之有效的策略, 对渔民来说也可以节省捕鱼过程中的资源消耗. 本文从海洋环境遥感数据与AIS渔船轨迹数据着手, 分析挖掘鱼群的分布状况, 进而对未来的渔情进行预测. 根据作业方式的不同, 渔船可以分为多种类型, 如围网、刺网、拖网、张网等, 针对装备不同渔具的渔船预测出未来作业的区域, 进行精细化管理具有重要意义. 以往的单任务学习能够对各渔具实现单独预测, 但不能捕获各种渔具之间的相互影响. 为此, 本文提出了一种基于海洋遥感数据与AIS渔船轨迹数据的时空神经网络的多任务预测方法, 在对每种渔具单独预测的同时捕获各渔具之间的相互影响. 同时, 将诸如海洋温度、盐度等环境遥感数据嵌入到模型中, 进一步提高了预测的准确度. 在浙江海域的AIS渔船轨迹数据集上进行了实验, 结果证明了该方法相对于经典和最新的基于海洋遥感与AIS轨迹预测鱼群分布状况的优越性. 相似文献