基于Silverlight的危废车辆实时监控系统

为了满足危险废物全过程管理的要求,提出了建设"危废车辆实时监控系统"的设计方案,详细阐述了基于Silver-light技术的原型系统的整体框架、功能设计以及关键功能模块的具体实现。试运行结果表明,系统实现了对危险废物运输车辆的实时监控和可视化管理,能够有效弥补危险废物全过程管理的薄弱环节,降低危险废物运输过程中安全事故的发生。采用Silverlight技术开发的系统,具有界面元素更加丰富、增强用户体验、更好的用户友好性和交互性的特点。     

危险废物转移实时监控系统成本优化应用研究

研究了利用商业车载信息服务平台进行基于公众网的危险废物运输车辆实时监控,然后租用商业平台服务将GPS监控数据半实时交换入政务内网,供内网中的政务系统进一步利用的实时监控系统成本优化方法。该方法能同时实现上述车辆的实时监控及其政务管理功能,并能大幅度减少系统建设和运营成本。文章以广州市固体废物管理中心为实例对上述方法进行了计算、分析和讨论,并对方法的经济性、实用性、灵活性和安全性进行了总结。     

社区异常行为智能识别防盗报警系统仿真

当前社区智能识别防盗报警系统采用广角视频人工识别异常行为,不能实时对社区异常行为进行监控和报警,存在报警误报率较高、报警延时较长、准确率较低等问题。针对上述问题,提出基于社区异常行为智能识别防盗报警系统,介绍了智能识别防盗报警系统的总体架构,包括图像采集模块、异常行为检测模块、远程监控模块、防盗报警模块四部分组成,并结合运动目标颜色特征的粒子滤波算法实现了对社区异常行为实时监控和实时报警。实验结果表明,所设计的智能识别防盗报警系统,报警误报率较低、报警延时较短、准确率较高。     

视频监控下的人脸跟踪与识别系统

针对智能视频监控系统的要求,设计了一个基于视频监控的自动多人脸跟踪识别系统,该系统的功能是实时跟踪视频监控范围内的人脸并鉴别人脸的身份。针对复杂背景及类似人脸区域的影响,提出了一种Adaboost人脸检测算法和主动形状模型相结合的人脸检测算法,实现人脸的准确检测;针对视频监控范围内人脸偏转、交错以及由于人员不断出入而导致人脸数目发生变化的问题,提出了CamShift和Kalman滤波器相结合的多人脸跟踪算法,同时对跟踪到的人脸进行实时身份识别。实验证明,该系统在视频监控范围内对人脸检测和身份识别准确,跟踪实时性好,是一种建立实时视频监控系统的实用方法。     

利用OpenCV的运动物体智能视频图象处理监控系统设计

目前,无论是家庭还是社会安全性一直都备受关注。随着计算机视觉、视频智能识别等技术的高速发展,实现监控系统的实时分析报警已成为了可能,本文从运动物体的检测、运动跟踪及行为判断三大技术出发,利用OpenCV设计了一个运动物体智能视屏图象处理监控系统,该系统不但有效的实现对所监控区域的实时监控与报警,而且也对传统视频监控系统进行了革新,重要场所的安全运行提供了强有力的保障。     

基于EmguCV和ArcGIS Engine的车辆定位与追踪系统设计与实现

为了高效获取城市中车辆行驶信息,有效监管车辆,并且快速锁定出现在道路上的嫌疑车辆,以实施抓捕.在对现阶段车牌识别技术和车辆监控系统的研究与改进基础上,在现有的车辆追踪定位方式中引入车牌识别技术,据此设计了路网追踪系统.系统通过道路监控抓拍识别,将识别结果上传至监控中心数据库匹配出嫌疑车辆,依据监控位置定位车辆的实时位置,生成抓捕方案上传至警方抓捕中心,并在电子地图上对目标车辆进行实时跟踪显示,提供抓捕路径方案.     

基于人脸识别的智能安防监控系统的设计与实现

安防监控系统是保护人民群众生命财产安全和侦破各类刑事案件的首要技术保障。本文提出的基于人脸识别的智能安防监控系统,主要由非法入侵实时报警系统、智能门禁系统、智能巡更系统组成。非法入侵实时报警系统可以准确识别非法人员的人脸信息并实时推送给相关人员进行报警;智能门禁系统可以有效防范人脸攻击;智能巡更系统可以通过巡更区域布控的监控设备实时采集并识别巡更人员信息,并实时绘制巡更轨迹,极大地提高了巡更管理的效率。     

基于LabVIEW和MATLAB的跌倒远程监控系统

针对传统跌倒检测系统识别正确率较低，误报率、漏报率较高、难以满足远程实时监控的问题，设计一种基于LabVIEW和MATLAB混合编程的新型跌倒检测系统。以深度视觉传感器为数据获取源，以聚类中心点速度、高度、加速度、两中心点垂直夹角为跌倒识别特征向量，采用改进型K-means和卷积神经网络算法实现跌倒检测。实验表明，系统具有更高的识别正确率、更低的误报和漏报率、更好的鲁棒性，并满足了远程实时监控要求。     

实验室网络监控系统的设计与应用

本文研究的主要意义旨在通过对现在广泛应用于移动设备识别监控系统的基础上,针对于winsock技术的特点,找到一种适合winsock技术的移动设备识别监控系统的设计,使之能够提高实时多媒体业务在无线分组网络中的服务质量。     

基于HEVC编码框架的视频实时监控系统的设计与实现

智能化技术的发展促进了监控技术的进步,传统的视频监控系统受编码压缩率的限制,导致其监控实时性较低,无法满足现有的视频实时监控需求,因此,基于HEVC编码框架设计了新的视频实时监控系统,硬件部分设计了综合监控电路、X265视频编码器,以及ZC301摄像头,软件部分首先分析了视频实时监控需求,其次基于HEVC设计视频实时监控体系架构,最后设计了视频实时监控的功能模块。进行系统测试,结果表明,设计的视频实时监控系统的监控性能良好,满足实时监控需求,有一定的应用价值,可以作为后续媒体技术发展的参考。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

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。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

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.