VoIP网关H.323协议栈中多路呼叫处理技术

IP电话网关主要功能为连接传统电话网与IP网络，完成多路呼叫的信令协议和语音格式的转换。因此，在网关的实现过程中，会涉及到多路呼叫的资源分配与维护、多线程的处理与同步、呼叫状态的迁移与超时处理等问题。该文针对上述问题，提供了独特的实现方法，很好地解决了多路呼叫的资源占用、同步和超时等关键技术，有效地优化了网关系统性能。最后给出了网关指标中最重要的两个参数互通性与多路同时呼叫建立延时的测试结果及分析。     

计算机网络系统IP电话的实现

介绍了IP电话的概念、原理和不同的通话方式,分析了不同IP电话方式的优缺点,并阐述了以Cisco路由器充当IP语音网关,利用计算机网络系统来实现IP电话系统的技术方案。     

华为IP电话智能化

IP 电话网关是利用 Internet网络作为载体传输语音信息的产品,它位于公用电信网和 Internet 接入站点之间,将公用电信网上的语音信号压缩后通过 Internet 网络传送到对端 IP 电话网关,同时接收来自于Internet 网络上的 IP 包,解压后还原成电信网的语音信号。Quidway A8010 IP 电话系统是华为 Quidway A8010多业务综合智能平台     

IP电话的VoIP语音网关设计

介绍IP电话系统的基本组成,给出IP电话系统中的关键设备———语音网关的硬件组成和软件设计架构,并着重分析主芯片和软件功能模块设计中所涉及的关键技术。     

IP语音网关的功能分析及系统实现

在“PhonetoPhone”工作方式的IP电话业务中,IP语音网关起到PSTN网和IP网之间的桥梁作用,它转换IP网络和PSTN网的信令,传输语音信息。在分析IP语音网关的基本功能的基础上,提出一种IP电话网关的实现方案以及模块化实现方式,依照SIP协议用C＋＋代码网关功能模块,用MySQL数据库保存用户和呼叫信息,用SNMP协议实现对网关的远程配置与管理。实验表明该网关具有投入少、操作方便、可扩展性强等特点。     

SIP协议语音网关的设计与实现

讨论了基于会话初始协议（SIP），通过IP网传输语音的网关的设计。首先，对IP电话技术及SIP协议在网关中的应用作了介绍；其次，详细阐述了语音网关的设计与实现，包括系统方案设计，硬件设计，软件设计；最后，讨论了SIP协议应用于该系统中的呼叫流程。该设计为企业拨打IP电话提供了解决方案。     

IP语音网关的功能分析及系统实现

在“PhonetoPhone”工作方式的IP电话业务中,IP语音网关起到PSTN网和IP网之间的桥梁作用,它转换IP网络和PSTN网的信令,传输语音信息。在分析IP语音网关的基本功能的基础上,提出一种IP电话网关的实现方案以及模块化实现方式,依照SIP协议用C＋＋代码网关功能模块,用MySQL数据库保存用户和呼叫信息,用SNMP协议实现对网关的远程配置与管理。实验表明该网关具有投入少、操作方便、可扩展性强等特点。     

基于客户端DSP的IP电话话音网关设计

研制出一种基于客户端数字信号处理器(CST-DSP)的IP电话语音网关系统.该系统以TMS320C54cst为核心,实现模拟信号和数字信号之间的转换,以及信号的调制和解调,实现公共网信号传输;使用串口到USB口转换,实现系统和PC机的连接,以及IP电话网关功能.     

基于客户端DSP的IP电语语音网关设计

研制出一种基于客户端数字信号处理器（CST-DSP）的IP电话语音网关系统。该系统以TMS320C54cst为核心，实现模拟信号和数字信号之间的转换，以及信号的调制和解调，实现公共网信号传输；使用串口到USB口转换，实现系统和PC机的连接，以及IP电话网关功能。     

基于PC机的IP电话网关的开发

介绍了语音芯片CT8022的基本功能，特点，并给出了一个以它为基础开发的基于PC机的IP电话网关系统。     

一种MapReduce实时调度算法设计及实现

MapReduce是云计算中重要的批数据处理框架,多任务共享MapReduce机群并满足任务实时性要求是调度算法急需解决的问题。提出两阶段实时调度算法,将调度划分为任务间调度和任务内调度。对于任务间调度,使用抽样法和经验值法确定子任务执行时间,利用该参数建立资源分配模型,动态确定任务优先级进行调度;对于子任务使用延迟调度策略进行调度,保证计算的本地性。实验结果显示,两阶段实时调度算法相比公平调度算法和FIFO算法,在保证吞吐量的同时能够满足任务实时性要求。     

统一的数字几何处理框架

随着三维几何模型在工业界的广泛应用，处理几信号的算法变得越来越重要。尽管近几年数字几何处理研究有了很大的进展，仍然缺乏一个类似于数字图像处理的统一解决方案。该文提出了任意网格的数字信号处理框架，很好地满足了这一需求。该框架的核心思想是通过为任意网格模型构造一个全局球面（或平面）参数化，把模型的所有属性转化为定义在球面（或平面）上的信号，然后采用球面（或平面）正交分析工具对这些信号做分析处理。在这两个框架下，所有的数字图像处理技术都可以被扩展到网格模型。该文还给出了包括滤波、多分辨率编辑和压缩在内的几种典型应用的实现方法和试验结果。     

Distributed and intelligent information access in manufacturing enterprises through mobile devices

Due to the distributed nature of todays enterprises and the growing number of employees who are mobile, newer models of communication are required to cater to the information needs of manufacturing personnel. Mobile applications such as information alerts, disconnected information processing and background processing are applications gaining significant attention in manufacturing companies. In this paper, we describe the framework and architecture of a mobile-agent-based system, which provides mobile information services to the workforce in motion in manufacturing enterprises. We emphasize on background and disconnected processing and demonstrate the use of a Mobile-agent-based system to achieve it. Recognizing the need to exchange information between various distributed information sources, we explore the use of XML-based agent communication and discuss how XML can be used for inter-agent communication. We describe the design and implementation of a prototype system and discuss application scenarios.     

Extensions to the fuzzy pointed set with applications to imageprocessing

In all man-machine systems with image processing functions, an important unsolved problem arises in the treatment of uncertain and incomplete image information. Several frameworks have been suggested for handling uncertain image information including; expert systems, fuzzification, likelihood estimation, and neural networks. In this paper we review those methods. We also present a new method for handling uncertainties by unifying the representations of gray-values and uncertainty into one framework in a way that parallels fuzzy logic. This new framework is based on the application of the extended fuzzy pointed set and an associated algebra to handle uncertain information. We further show how this framework can be used in image processing and artificial intelligence     

基于VfW的实时视频图像采集处理程序设计

鉴于实时视频图像采集处理技术在安全监控、视频会议、网络聊天等领域正得到越来越广泛的运用,文中介绍如何利用VideoforWindows库函数来构建视频图像的采集框架;由于回调函数是各种型号视频采集卡处理视频图像的通用接口,分析了如何自定义回调函数来实时处理采集的视频数据,并利用梯度差分法来实时检测视频图像的活动轮廓,该方法可运用于视频目标监控、人脸检测等视频图像处理项目。     

VC++环境下的多文档多窗口应用程序开发

文章直接按照MDI开发的思路介绍了如何在AppWizard生成的MDI框架中添加文档模板和ScrollView,FormView,ListView视图,并且如何处理文档模板、资源和视图之间关系的,以及在FormView加入属性页控件的具体方法.     

Automaton meets algebra: A hybrid paradigm for XML stream processing

XML stream applications bring the challenge of efficiently processing queries on sequentially accessible token-based data streams. The automata paradigm is naturally suited for pattern recognition on tokenized XML streams, but requires patches for fulfilling the filtering or restructuring functionalities in the XML query language. In contrast, the algebraic paradigm is a well-established technique for processing self-contained tuples. It however does not traditionally support token inputs. The Raindrop framework is the first to accommodate these two paradigms within one algebraic framework, taking advantage of both. This paper describes the overall framework, highlighting in particular three aspects. First, we describe how the tokens and tuples are modeled in one uniform query processing model. Second, we present the query rewriting that switches computations between these two data models. Third, we discuss strategies for the implementation and synchronization of the operators within the framework. We report experimental results that illustrate the unique optimization opportunities offered by this novel framework.     

基于本体的信息集成框架研究

为了解决信息集成中的语义异构问题,引入本体技术,借鉴"Mediator/Wrapper"体系结构,结合混合本体以及WebServices技术,提出了分布式网络环境下的基于本体的信息集成框架,阐述了如何利用本体技术解决语义异构问题,给出了框架的层次结构以及关键技术,包括本体构建、查询处理和服务注册中心,然后利用原型系统验证了框架是可行的。该框架解决了信息集成中的语义异构问题。     

Automaton meets algebra: A hybrid paradigm for XML stream processing

XML stream applications bring the challenge of efficiently processing queries on sequentially accessible token-based data streams. The automata paradigm is naturally suited for pattern recognition on tokenized XML streams, but requires patches for fulfilling the filtering or restructuring functionalities in the XML query language. In contrast, the algebraic paradigm is a well-established technique for processing self-contained tuples. It however does not traditionally support token inputs. The Raindrop framework is the first to accommodate these two paradigms within one algebraic framework, taking advantage of both. This paper describes the overall framework, highlighting in particular three aspects. First, we describe how the tokens and tuples are modeled in one uniform query processing model. Second, we present the query rewriting that switches computations between these two data models. Third, we discuss strategies for the implementation and synchronization of the operators within the framework. We report experimental results that illustrate the unique optimization opportunities offered by this novel framework.     

Assessment of the influence of adaptive components in trainable surface inspection systems

In this paper, we present a framework for the classification of images in surface inspection tasks and address several key aspects of the processing chain from the original image to the final classification result. A major contribution of this paper is a quantitative assessment of how incorporating adaptivity into the feature calculation, the feature pre-processing, and into the classifiers themselves, influences the final image classification performance. Hereby, results achieved on a range of artificial and real-world test data from applications in printing, die-casting, metal processing and food production are presented.