基于.NET框架的Web电子邮件跟踪技术

设计并实现了一种基于Http处理管道模型的电子邮件跟踪方案,通过自定义的HttpModule类能够有效拦截HttpRequest以实现个性化的电子邮件跟踪需求,且有更强的通用性.     

文档共享无边际 SharePoint团队协作的舞台（二）

SharePoint的共享文档工作区可以实现文档共享功能，并且还允许SharePoint站点跟踪每一次文档修改操作，保存文档的多个历史版本，在文档修改时用电子邮件通知团队成员。     

嘿!伙计,跟着他

嘿!伙计,跟着他。这句是电影中经常用来支派手下跟踪一个目标的台词。我们日常发送的电子邮件,要想知道对方是否打开了邮件,着实非常麻烦。虽然使用邮件软件中的回执功能可以实现,但当对方不同意发送回     

基于B/S的电子邮件在线申请系统的设计

针对传统的以表格方式申请电子邮件服务的不足,本文主要通过基于B/S结构实现用户电子邮件的在线申请,并实现电子邮件的在线审核与开通,实现了信息化处理,提高了办事效率。     

软件

在Outlook 2007主界面中,单击菜单“工具／选项”,打开相应的对话框,切换到“首选参数”标签。在“电子邮件”栏下,单击“电子邮件”按钮。在出现的对话框中,单击“跟踪选项”按钮,打开“跟踪选项”对话框,在“对于发送的所有邮件,请求”栏下,勾选“‘已读’回执”项,以后当你发送邮件给对方时,Outlook2007就会自动向对方索要已读回执。     

Microsoft Outlook97强大功能介绍

Microsoft Outlook(如图 1)是一种桌面信息管理程序,可以帮助您组织和共享桌面信息并与他人通信。使用Outlook 可以进行下列工作:不仅可以跟踪活动,而且可以管理个人和商务信息,如电子邮件、约会、联系人、任务和文件;通过使用电子邮件、分组安排、公共文件夹     

电子邮件收发系统的设计与实现

随着计算机网络技术的不断发展．电子邮件作为一种信息交换方法,是Intemet上广泛使用的一项服务。SMTP、POP3和MIME支持电子邮件的收发,是系统实现的关键技术。研究收发电子邮件的工作原理,描述系统功能,并在Visual Basic环境下实现电子邮件收发系统。     

基于授权管理的安全电子邮件方案

应用密码技术保护电子邮件传输,解决了电子邮件的一部分安全问题,但是电子邮件发送后如何控制邮件内容的再使用和再分发是电子邮件的又一个安全问题。本文提出了结合密码技术,基于授权管理的安全电子邮件方案,对电子邮件进行细粒度权限控制,实现电子邮件的安全管理。     

基于DM642嵌入式电子邮件客户端的开发

首先介绍了ICETEK-DM642-PCI板的结构特点以及电子邮件实现的基本原理和相关协议,然后详细阐述了基于TITMS320642芯片的嵌入式电子邮件客户端的软件设计与实现,最后通过实验证明通过使用多线程的模块结构,该系统能够实现基于DM642评估板的电子邮件客户端开发,用户可以根据需要接收和发送电子邮件,并能在显示终端上显示结果.而且该系统代码量仅有2.4M,因此无论是从性能还是在代码效率上都能较好的满足日常电子邮件的收发需求.     

基于开放源码的电子邮件管理系统

随着现代远程教育的发展,电子邮件也以其方便性、快捷性在其中得到广泛的应用,成为异步教学活动中的一种重要的学习支持.通过阐述一个完整的电子邮件管理系统--浙江大学远程教育学院教师电子邮件管理系统--的设计实现过程,研究分析了对基于开放源码邮件系统中邮件的监控,分析和统计的手段.介绍了电子邮件技术基本原理及开放源码电子邮件系统Postfix的原理,同时详细介绍了浙江大学远程教育学院教师电子邮件管理系统的整体架构,以及各模块的关键技术和实现过程.     

Real-time predictive zoom tracking for digital still cameras

Zoom tracking is becoming a standard feature in digital still cameras (DSCs). It involves keeping an object of interest in focus during the zooming-in or zooming-out operation. Zoom tracking is normally achieved by moving the focus motor in real-time according to the so-called trace curves in response to changes in the zoom motor position. A trace curve denotes in-focus motor positions versus zoom motor positions for a specific object distance. A zoom tracking approach is characterized by the way these trace curves are estimated and followed. In this paper, a new zoom tracking approach, named predictive zoom tracking (PZT), is introduced based on two prediction models: auto-regressive and recurrent neural network. The performance of this approach is compared with the existing zoom tracking approaches commonly used in DSCs. The real-time implementation results obtained on an actual digital camera platform indicate that the developed PZT approach not only achieves higher tracking accuracies but also effectively addresses the key challenge of zoom tracking, namely the one-to-many mapping problem.

一种新的基于IPSec over Http协议的VPN通信研究

首先针对防火墙等设备的网络访问控制,讨论了穿越防火墙的隐蔽通信常用的方法例如HTTP隧道.接着在对IPSec体系进行剖析的基础上,指出了IPSec协议网络兼容性较差,从而提出了新的结合IPSec隧道和HTTP隧道的IPSec over Http协议,并给出了协议实现的结构和流程.为了对协议模型进行验证,文章以FreeSWAN软件为基础,对IPSec over Http协议进行了设计和实现,并提供了性能测试数据作为比较,最后文章对新系统的性能进行了理论分析.     

Online updating appearance generative mixture model for meanshift tracking

This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks an object by maximizing the similarity between the histogram in tracking window and a static histogram acquired at the beginning of tracking. The tracking therefore could fail if the appearance of the object varies substantially. In this paper, we assume the key appearances of the object can be acquired before tracking and the manifold of the object appearance can be approximated by piece-wise linear combination of these key appearances in histogram space. The generative process is described by a Bayesian graphical model. An Online EM algorithm is proposed to estimate the model parameters from the observed histogram in the tracking window and to update the appearance histogram. We applied this approach to track human head motion and to infer the head pose simultaneously in videos. Experiments verify that our online histogram generative model constrained by key appearance histograms alleviates the drifting problem often encountered in tracking with online updating, that the enhanced meanshift algorithm is capable of tracking object of varying appearances more robustly and accurately, and that our tracking algorithm can infer additional information such as the object poses. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

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Socket编程实现表单的自动填写

通过Socket编程可以实现表单自动填写后发送给Web服务器,并接收Web服务器的响应消息.     

Real time 3D face and facial feature tracking

Detecting and tracking human faces in video sequences is useful in a number of applications such as gesture recognition and human-machine interaction. In this paper, we show that online appearance models (holistic approaches) can be used for simultaneously tracking the head, the lips, the eyebrows, and the eyelids in monocular video sequences. Unlike previous approaches to eyelid tracking, we show that the online appearance models can be used for this purpose. Neither color information nor intensity edges are used by our proposed approach. More precisely, we show how the classical appearance-based trackers can be upgraded in order to deal with fast eyelid movements. The proposed eyelid tracking is made robust by avoiding eye feature extraction. Experiments on real videos show the usefulness of the proposed tracking schemes as well as their enhancement to our previous approach.

Scanning and tracking with independent cameras—a biologically motivated approach based on model predictive control

This paper presents a framework for visual scanning and target tracking with a set of independent pan-tilt cameras. The approach is systematic and based on Model Predictive Control (MPC), and was inspired by our understanding of the chameleon visual system. We make use of the most advanced results in the MPC theory in order to design the scanning and tracking controllers. The scanning algorithm combines information about the environment and a model for the motion of the target to perform optimal scanning based on stochastic MPC. The target tracking controller is a switched control combining smooth pursuit and saccades. Min-Max and minimum-time MPC theory is used for the design of the tracking control laws. We make use of the observed chameleon’s behavior to guide the scanning and the tracking controller design procedures, the way they are combined together and their tuning. Finally, simulative and experimental validation of the approach on a robotic chameleon head composed of two independent Pan-Tilt cameras is presented.

Applying Semantic Techniques to Search and Analyze Bug Tracking Data

The Web has become an important knowledge source for resolving system installation problems and for working around software bugs. In particular, web-based bug tracking systems offer large archives of useful troubleshooting advice. However, searching bug tracking systems can be time consuming since generic search engines do not take advantage of the semi-structured knowledge recorded in bug tracking systems. We present work towards a semantics-based bug search system which tries to take advantage of the semi-structured data found in many widely used bug tracking systems. We present a study of bug tracking systems and we describe how to crawl them in order to extract semi-structured data. We describe a unified data model to store bug tracking data. The model has been derived from the analysis of the most popular systems. Finally, we describe how the crawled data can be fed into a semantic search engine to facilitate semantic search.

Facial movement analysis in ASL

In the age of speech and voice recognition technologies, sign language recognition is an essential part of ensuring equal access for deaf people. To date, sign language recognition research has mostly ignored facial expressions that arise as part of a natural sign language discourse, even though they carry important grammatical and prosodic information. One reason is that tracking the motion and dynamics of expressions in human faces from video is a hard task, especially with the high number of occlusions from the signers’ hands. This paper presents a 3D deformable model tracking system to address this problem, and applies it to sequences of native signers, taken from the National Center of Sign Language and Gesture Resources (NCSLGR), with a special emphasis on outlier rejection methods to handle occlusions. The experiments conducted in this paper validate the output of the face tracker against expert human annotations of the NCSLGR corpus, demonstrate the promise of the proposed face tracking framework for sign language data, and reveal that the tracking framework picks up properties that ideally complement human annotations for linguistic research.

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Tracking Control of Join-Free Timed Continuous Petri Net Systems under Infinite Servers Semantics

A new low-and-high gain algorithm is presented for tracking control of a subclass of timed continuous Petri Net (contPN) systems working under infinite servers semantics. The inherent properties of timed contPN determine that the control signals must be non-negative and upper bounded by functions of system states. In the proposed control approach, LQ theory is first used to design a low-gain controller such that the control signals satisfy the input constraints. Based on the low-gain controller, a high-gain term is further added to fully employ available control energy, and control performance can be improved consequently. In order to guarantee global tracking convergence and smoothness on the tracking target, a mixed trajectory (state step and ramp) is used instead of a pure step reference signal. The new tracking target is designed to ensure the existence of the low-gain controller and possible fast system response concurrently. Rigorous proof based on Lyapunov function is provided to guarantee that for a conservative and strongly connected Join-Free (JF) timed contPN system, the proposed algorithm can ensure the global asymptotical convergence of both system states and control signals.

Telematics系统研究与车载终端设计

Telematics它是以全球卫星定位系统(GPS)和无线语音、数据通信为基础,服务供应商与移动目标(人、车、物)交换信息的技术。Telematies系统通过GPS和无线通信网,向驾驶员和乘客提供实时交通信息、车辆导航、生活信息、车辆远程控制、防盗报警、紧急救援、远程车辆诊断及跟踪、多媒体和互联网(金融交易、新闻、电子邮件等)服务。车载终端是实现Telematics服务的控制平台。