基于云存储的轨道交通视频监控系统设计

本文针对城市轨道交通的现状，设计了基于云存储的轨道交通视频监控系统。云平台技术中存在多种实用的第三方机制，比如Oracle数据库、虚拟机转换和存储双活等，解决传统综合监控系统针对网络切换、资源利用和数据同步等过程中的不足，对设计方案进行优化，在综合监控系统中使用云平台技术。此系统能够将云平台技术特征充分发挥出来，实现系统全部服务器的相互备份，避免数据丢失，使轨道交通综合监控系统的有效性、实用性得到提高。     

云视频监控系统的能耗优化研究

随着基于云计算的视频监控系统(以下简称云视频监控系统)的兴起,其无限扩展的终端设施、众多的物理服务器、频繁的网络传输等所带来的能耗问题不容忽视.分析了云视频监控系统的体系结构、能耗的产生及其优化机理,并将云视频监控系统的能耗研究分为监控节点、物理节点和存储节点这3个层次;然后,结合国内外应用于传感器网络和云计算数据中心的相关能耗优化理论与方法,分别对3个层面上的云视频监控系统的能耗优化方法进行综述,并进行了深入的分析和比较;最后,针对当前的研究空缺和问题,提出今后可能的研究方向和重点,并进行了总结.     

基于开源软件的云监控平台设计与实现

最近几年,基于云计算的互联网服务迅速增长,数据中心的基础设施和应用资源不断增加。需要及时、高效的监控和管理资源的可用性,保证云服务的可靠性。通过对云监控的内容和特性的研究,提出一种管理云计算资源的云监控系统架构,重点对分布式架构、逻辑处理模块和云监控接口进行设计,实例中完成对私有云中物理主机、虚拟机、应用服务的批量监控,实现数据的存储和展示。     

云环境下移动视频监控系统安全性研究

云环境下移动视频监控系统是指在云计算框架下,运用云计算来解决视频数据存储、管理和切分等问题的视频监控系统。该系统与传统视频监控系统相比能够有效提高存储空间、通信带宽的利用率及事后检索的方便性,但由于云计算服务自身存在的安全隐患问题使得移动视频监控系统的信息安全性也受到了威胁。基于以上不足,文中根据该系统的特点分析了其所面临的安全性问题。文中将身份认证、授权限制和审计、核心数据分类与加密、SaaS技术以及基于SSL协议的安全加密操作等技术应用到云环境下移动视频监控系统前端、后台以及网络三个方面,并在此基础上增加了一定的安全性措施,从而提高了系统的安全性。     

基于DM365网络视频监控系统的设计与实现

采用DM365达芬奇视频处理芯片开发了嵌入式网络视频监控系统,选择H.264视频数据编码算法以提高数据编码效率.该系统软件包括视频监控服务器模块和客户监控端模块.运行于DM365平台上的视频监控服务器将采集的视频数据经过H.264编码器压缩后存储在硬盘上,并以RTP/RTCP协议传输给客户监控端;运行于PC机上的客户监控端程序可以实现摄像头的远程控制与实时监控现场.     

客运站安防工作中的智能视频监控系统的分析与设计

智能视频监控设计以普通的网络视频监控为基础,采用数字视屏监控,系统平台满足总公司分层级组网要求,所有设备间均通过计算机网络系统来实现通讯.摄像机采用网络数字摄像机、控制主机、屏幕墙采用视频控制服务器控制,图像存储录像采集中存储.通过嵌入在前端处理设备中的智能视频模块能够对所监控的画面进行实时分析,提供24*7全天候可靠实时监控;前端处理设备具有集成强大的图像处理分析能力,用户能够更加精准的定义安全威胁的特性,大大提高报警精确度;减少漏报率、误报率,尽量避免出现无用数据,使得响应速度大大提升.     

移动视频监控系统的实现

基于Android的开源特性,在系统软件平台之上设计开发视频监控系统。介绍系统的功能需求和Android应用开发过程中的技术要领。利用Eclipse开发工具、Java JDK和Android SDK,设计完成基于Android平台的手机对视频监控系统服务器的访问。该系统把网络视频监控和移动终端相结合,克服了普通网络视频监控对监测客户端地点上的限制。实验结果表明,该设计可以实现基于Android平台的终端设备与远端的实时视频服务器的数据流的传输,也可以从存储服务器上下载视频文件并播放,在实际的应用测试中验证了可行性。     

云存储的可视门铃监控系统的设计

针对传统的视频监控系统将数据保存在电脑硬盘上,电脑硬盘损坏导致数据丢失的缺点,设计了一种基于云存储的可视门铃监控系统.系统以S3 C2440A处理器和嵌入式Linux为核心平台,将CMOS摄像头采集的视频信号通过网络传输到PC机进行处理,运用混合高斯背景建模算法实现运动目标的检测,把视频图像上传到百度云存储.局域网内用户可连接PC机获取视频图像,局域网外用户可访问百度云获取视频图像.实验结果表明,该系统具有安全性高、实时性好等优点,具有广阔的应用前景.     

基于云计算的全球眼视频监控系统的设计与实现

近年来,新疆为响应全国"平安城市建设"的号召,在全疆范围内开展了"全球眼"网络视频监控业务,它是一项基于宽带网的图像远程监控、传输、存储、管理的业务,将分散、独立的图像采集点进行联网,实现跨区域的统一监控、统一存储、统一管理及资源共享。面对海量的视频数据,本文采用先进的云存储技术进行统一存储,并通过弹性云计算平台对视频数据进行统一管理。     

基于StrongARM的视频采集与处理系统

介绍一个基于StrongARM的视频数据采集处理系统。该系统将采集到的连续视频图像数据以MJPEG的方式进行压缩处理,然后由StrongARM进行打包处理,生成UDP包,向网络发送。视频服务器可以通过网络(局域网或广域网)获取视频采集器发送的图像数据,并对图像数据进行显示、存储、回放等管理,同时视频服务器也可以通过网络控制视频采集器上的摄像机及云台。该系统为实现远程实时监控系统,对监控数据的数字化管理以及视频网络传输等提供了解决方案,它以最新的MJPEG压缩方式使视频数据的管理更加方便可靠,并且使用Intel公司的StrongARMSA-1110高性能微处理器芯片作为处理平台,使得该系统具有安装方便、配置灵活、便于携带等突出优点,具有很大的市场应用前景。     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.     

Editorial: Special issue on recent advances in hybrid control theory and applications

正The demands of a rapidly advancing technology for faster and more accurate controllers have always had a strong influence on the progress of automatic control theory.In recent years control problems have been arising with increasing frequency in widely different areas,which cannot be addressed using conventional control techniques.The principal reason for this is the fact that a highly competitive economy is forcing systems to operate in regimes where     

Information for Authors

正Aim The Journals of Zhejiang University-SCIENCE(A/B/C)areedited by the international board of distinguished Chinese andforeign scientists,and are aimed to present the latest devel-opments and achievements in scientific research in China andoverseas to the world’s scientific circles,especially to stimulateand promote academic exchange between Chinese and for-eign scientists everywhere.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.