一个面向空间应用系统的Internet市场模型

集成Ｉｎｔｅｒｎｅｔ上大量自治的、异构的数据和计算资源将是今后软件业的主要挑战之一。作为一种应用系统从位于Ｉｎｔｅｒｎｅｔ上的远程服务结点获取数据并进行数据集成处理的机制,Ｉｎｔｅｒｎｅｔ市场越来越受到业界的重视。文中提出了一个面向空间应用的Ｉｎｔｅｒｎｅｔ市场模型ＳＭＡＲＴ,通过其提供的服务类型和服务提供圪理用户之间的交互方式描述了该模型。最后,讨论了ＳＭＡＲＴ市场模型的一个原型系统ＡＣＴ－ＴＡ     

基于分布对象的冗余服务模型

针对现有的分布计算模型不能充分描述冗余服务的特点,文中基于分布对象的观点,提出一个面向冗余服务的计算模型ＨＯＲＩＳ。它利用类和实例的概念定义了冗余服务,并将状态服务和无状态服务区分开来,同时还刻画了分布计算环境中的请求和主机的概念。在ＨＯＲＩＳ的基础之上,文中创建了一个冗余服务的管理框架ＡＭＡ,并在ＣＯＲＢＡ平台上进行了实现,与其它冗余服务的管理框架相比,它具有接口开放,适应性强、能管理异构服务以     

基于IIS的远程数据访问解决方案

提出了一个实现远程数据访问的解决方案,介绍了 ＡＤＯ的远程数据服务（ＲＤＳ）技术,详细阐述了基于 Ｍｉｃｒｏｓｏｆｔ Ｉｎｔｅｒｎｅｔ Ｉｎｆｏｒｍａｔｉｏｎ Ｓｅｒｖｅｒ（ＩＩＳ）的 ＲＤＳ三层体系结构、工作方式及其 ＲＤＳ编程模型和对象模型,并给出了一个应用实例。     

基于ActiveX组件的文档动态生成与压缩下载技术

文章以自行开发的运行在 Ｉｎｔｅｒｎｅｔ上的合同管理为例,介绍了利用ＡｃｔｉｖｅＸ、ＡＳＰ和 ＡＤＯ等技术从Ｉｎｔｅｒｎｅｔ动态生成Ｗｏｒｄ文档,并压缩成．ｚｉｐ文件下载到客户端的方法。     

IP与ATM的结合技术综述

本文比较了Ｉｎｔｅｒｎｅｔ与ＡＴＭ的体系结构,介绍与ＩＰ与ＡＴＭ结合的两种模型－覆盖模型和集成模型,并重点讨论了覆盖模型中的ＭＰＯＡ技术及集成模型中的ＭＰＬＳ技术。     

基于人工神经网络的FMS物料搬运机器人的故障诊断

本文讨论了一种无导师的神经模型－－自适应谐振理论ＡＲＴ，详细分析了ＡＲＴ的工作原理及故障诊断过程，本文以ＦＭＳ中的物料搬运机器人的故障诊断为例，详细说明了故障样本编码，ＡＲＴ的自学习，智能化诊断过程，并给出了仿真结果（在ＰＣ－４８６／３３上实现），仿真结果表明ＡＲＴ是一种有效且实用的故障诊断方法。     

Internet综合服务模型和分类服务模型

文章介绍了未来Ｉｎｔｅｒｎｅｔ中存在的两种服务模型,综合服务（Ｉｎｔ－Ｓｅｒｖ）和分类服务（Ｄｉｆｆ—Ｓｅｒｖ）,并对它们进行了评价。     

基于Internet的计算机辅助设计与制造技术

本文阐述了基于Ｉｎｔｅｒｎｅｔ 的计算机辅助设计与制造（ＣＡＤ／ＣＡＭ） 技术的国内外动态。提出了一种基于Ｉｎｔｅｒｎｅｔ的ＣＡＤ／ＣＡＭ 系统模型和实现方法。介绍了一个基于Ｉｎｔｅｒｎｅｔ的机床数控系统。     

IP over ATM模型上集成服务的实现技术

文章对 Ｉｎｔｅｒｎｅｔ的集成服务和 ＡＴＭ的 ＱＯＳ要求进行了分析,并讨论了将基于 ＩＰ协议的 ＲＳＶＰ与 ＡＴＭ的 ＱＯＳ控制和管理相结合,以实现 Ｉｎｔｅｒｎｅｔ与 ＡＴＭ集成中的多业务 ＱＯＳ的主要技术。     

一种主存数据库的存取方法

本文给一个主存数据库管理系统ＡＲＴｓ－ＭＭＤＢＳ，着重讨论了它的数据库管理机制与存取方法并具体阐述了它的一种新的索引结构－－ＳＢ树。     

普适的RFID网络模型研究

为了适应物联网不同应用间的异构性,设计了一种普适的RFID网络模型,介绍了模型中的层次结构并着重研究了RFID网络中的事件处理层和信息服务层。在事件处理层上使用EPCglobal颁布的应用级别事件AI正（Application Level Event）规范,规范定义了RFID事件过滤和采集接口,使得从标签读取到应用接收过程中保持数据处理、接收的一致性;在信息服务层采用发布／订阅机制,设计不同的发布／订阅方法,使在企业应用和RFID网络间数据实现灵活交互,基本满足了企业应用的各种需求。     

基于动态数据联盟的虚拟设计/制造系统—VC~3

提出了一种基于因特网络的快速市场反应虚拟设计／制造系统的体系结构－ＶＣ３。该系统以数据仓库为核心，以专业专家系统为各个生产环节的决策系统，以网络环境的专业竞争为优化机制，实现了网络环境的、面向市场反应的新一代 ＣＡＤ系统集成。     

一种基于剖分的空间数据存储调度服务模型

随着空间数据应用领域深度和广度的扩展,空间数据在组织、存储、更新、应用等方面存在速度、效率等难题。针对上述问题,基于地球剖分组织理论,结合面向客户端聚合服务的G/S模式架构,研究并提出一种空间剖分数据存储调度服务模型。给出了该模型体系架构、数据访问流程,设计了模型的地址编码结构及地址解析过程,形成了一种有效的"数据分散存储,客户端信息汇聚"的空间剖分数据组织管理、按需整合、快捷调度的机制,实现并验证了服务原型系统,其具有一定的理论意义和应用价值。     

基于Internet的GIS网格研究

为改善Internet上空间资源共享的环境，对当前WebGIS的空间资源共享问题结合网格技术进行了研究，从网格的角度阐释了空间信息网格、空间知识网格、空间数据网格和空间服务网格在内的GIS网格体系。     

基于Internet的GIS网格研究

为改善Internet上空间资源共享的环境,对当前Web GIS的空间资源共享问题结合网格技术进行了研究,从网格的角度阐释了空间信息网格、空间知识网格、空间数据网格和空间服务网格在内的GIS网格体系。     

基于SOAP消息的交易市场中介模型

在Internet上实现B2B电子商务经常会出现这样一种通用服务模型:交易市场中介模型,针对这个模型,本文利用SOAP的消息机制实现了其中的消息交换过程,并对这个实现方案进行了评价.     

Statistical shape model for manifold regularization: Gleason grading of prostate histology

Gleason patterns of prostate cancer histopathology, characterized primarily by morphological and architectural attributes of histological structures (glands and nuclei), have been found to be highly correlated with disease aggressiveness and patient outcome. Gleason patterns 4 and 5 are highly correlated with more aggressive disease and poorer patient outcome, while Gleason patterns 1–3 tend to reflect more favorable patient outcome. Because Gleason grading is done manually by a pathologist visually examining glass (or digital) slides subtle morphologic and architectural differences of histological attributes, in addition to other factors, may result in grading errors and hence cause high inter-observer variability. Recently some researchers have proposed computerized decision support systems to automatically grade Gleason patterns by using features pertaining to nuclear architecture, gland morphology, as well as tissue texture. Automated characterization of gland morphology has been shown to distinguish between intermediate Gleason patterns 3 and 4 with high accuracy. Manifold learning (ML) schemes attempt to generate a low dimensional manifold representation of a higher dimensional feature space while simultaneously preserving nonlinear relationships between object instances. Classification can then be performed in the low dimensional space with high accuracy. However ML is sensitive to the samples contained in the dataset; changes in the dataset may alter the manifold structure. In this paper we present a manifold regularization technique to constrain the low dimensional manifold to a specific range of possible manifold shapes, the range being determined via a statistical shape model of manifolds (SSMM). In this work we demonstrate applications of the SSMM in (1) identifying samples on the manifold which contain noise, defined as those samples which deviate from the SSMM, and (2) accurate out-of-sample extrapolation (OSE) of newly acquired samples onto a manifold constrained by the SSMM. We demonstrate these applications of the SSMM in the context of distinguish between Gleason patterns 3 and 4 using glandular morphologic features in a prostate histopathology dataset of 58 patient studies. Identifying and eliminating noisy samples from the manifold via the SSMM results in a statistically significant improvement in area under the receiver operator characteristic curve (AUC), 0.832 ± 0.048 with removal of noisy samples compared to a AUC of 0.779 ± 0.075 without removal of samples. The use of the SSMM for OSE of newly acquired glands also shows statistically significant improvement in AUC, 0.834 ± 0.051 with the SSMM compared to 0.779 ± 0.054 without the SSMM. Similar results were observed for the synthetic Swiss Roll and Helix datasets.     

Evaluation of service management algorithms in a distributed web search system

The World Wide Web interconnected through the internet today offers numerous specialist topic-oriented or regional search engines and systems in a largely federated heterogeneous environment. Old ones continue to exist and new ones appear in spite of the tremendous progress achieved by their generic Web-wide rival competitors, because they produce better results in their areas of specialisation. However, finding and choosing the best specialised search engines or systems for a particular information need is difficult. This is made even more complicated by the fact that these engines and systems would want to carve out a niche market that generates maximum revenue for themselves. The ADSA (Adaptive Distributed Search and Advertising) Web research project has investigated the problem at some depth and had put forward a search architecture which allows many search engines to be independently owned and controlled, offering advantages over existing centralised architectures. One aspect of the architecture has been to evaluate the service management algorithms that were designed to support competing autonomous systems in a cooperative marketplace. Here we present ADSA economic model and the service management strategies that can lead to maximum revenue generation, by making informative and intelligent decisions on search price adjustments of key quantitative parameters, as well as the results of evaluation experiments and briefly discuss the need for standardised interfaces which are required if this concept is to ease development and implementation of such a marketplace in a large scale.     

基于下一代Internet的服务管理研究

Internet is best effort network, on the whole, it doesn't provide any quality of service assurance for services. Especially,all kinds of stream media need more network performance and quality of service. Currently, because of existing many heterogeneous networks, such as telecommunication network, IP data network , mobile network and so on ,in order to break off this heterogeneous network isolated complexion ,research and developmentnext generation network must be carried out,only by this way,can these isolated heterogeneous network be merged into an all IP network. This network will provide enormous services for service users,how to manage these services effectively is a topic proposed by next generation internet. [1] gave research status for service management and advance,this paper researches service management requirement for next generation Internet and workflow etc,and based on these technique,a service management architecture model is proposed. It consists of service access layer, service deployment layer, service providing layer, service mapping layer, policy control layer and network element managing layer. These layers coordinate to implement service management.