融合Google Earth的无人机遥控遥测地面站设计

针对无人机飞行监测和控制的要求,设计了一款飞行监测和控制的无人机遥控遥测地面站系统软件. 无人机遥控遥测地面站系统软件包括系统调试、航迹规划、飞行监测、视频捕捉和数据回放等功能模块,融合Google Earth COM API二次开发技术基础上运用Visual C++6.0作为系统开发环境,采用模块化理念并嵌入串口通信技术、虚拟航空仪表技术、视频捕捉技术等进行软件开发.     

无人机航路规划与威胁源模型研究

无人机航路规划作为任务规划的核心部分,是任务规划不可缺少的阶段.传统的手动规划无人机航路已经存在许多的问题,现今自动或半自动的规划方法已经成为研究的热点.为了规划出精确的无人机航路,本文建立了相关威胁源模型,基于遗传算法规划无人机航路,解决了威胁随高度变化导致无人机航路规划不精确的问题,仿真结果表明建立的规划威胁源模型更能精确地计算出无人机航路.     

Google Earth在移动通信无线模拟覆盖的应用

Google Earth是Google推出的一款三维地图软件。本文在Google Earth提供优越的地理信息及功能的基础上,针对无线传播模拟难以跟地形结合的弊端,通过使用Google Earth KML语言、结合无线传播理论,提出无线覆盖模拟的新思路,并以实例作为案例说明设计方法。     

基于Google Earth的三维航迹监视及六自由度飞行仿真

提出了一种利用Google Earth二次开发能力实现飞机三维航迹监视和六自由度飞行仿真的新方法.使用KML语言描述飞机三维航迹和飞行姿态,通过Google Earth提供的可扩展接口引入飞机监视数据得到Google Earth上的飞机实时三维航迹及六自由度飞行仿真.系统采用B/S架构,客户端采用Google Earth 浏览器,全部开发都在服务器端.提出了一种用飞机前后两个位置点空间连线矢量提取飞行姿态算法.用这种方式得到三维航迹简单直观,既可以用于三维航迹研究分析、实时航迹监视、六自由度飞行仿真,还可以作为一种新的航班动态查询工具.     

无人机任务规划系统体系设计①

无人机任务规划系统(MPS)是一项复杂的系统工程,一个综合高效的任务规划系统对于具有超视距侦查和监视能力的无人机完成作战任务是相当重要的。系统地构建一个可行的任务规划系统需要考虑的因素很多,首先要进行任务信息需求分析,其次是对各种资源的合理配置,另外还要满足飞机飞行特性、航空控制规则以及作战法则等标准。从无人机任务规划概念出发,分析无人机任务规划系统的信息需求环境和构建要求,归纳了无人机任务规划的基本体系结构和模块化设计,最后给出了无人机任务规划系统基本的评价指标。     

云模型在防止Google Earth地标泄密中的应用

Google Earth给使用者带来方便的同时,也对传统信息安全带来了冲击,应当引起高度注意。设计了Google Earth使用管理软件,其中采用云模型,设立中心服务器,预设了重要监控点的坐标和云参数;当用户点击某个位置,会在中心服务器上生产云图,靠云滴的密集程度来决定是否允许用户标注的地标信息出现在Google Earth上。实验表明,该方法很好地控制了GoogleEarth上重点地点的信息标注,解决了Google Earth的"地标"泄密问题。     

面向安全避障的无人机鲁棒跟踪飞行控制

针对无人机在执行任务时所面临的安全飞行问题,基于已知威胁信息采用A*算法生成初始航路点.为解决存在过多冗余点、拐点以及路径不平滑等缺点,对规划得到的初始航路点进行二次规划,删除不必要的转折点并对其综合平滑处理,得到满足无人机性能约束的航路点.同时采用B样条曲线拟合航路离散点,在此基础上考虑安全飞行控制裕度,生成无人机的...     

无人侦察机半物理跟踪仿真平台设计与实现

针对目前无人机模拟训练系统采用单一有人机式开发模式、功能不健全的特点,重点研究了侦察、跟踪子系统的功能构成及实现方式。提出在Creator/Vega中利用Google Earth高程及影像数据模拟环境及摄像机效果,并输出视频信号,通过图像处理方法实现目标跟踪控制过程。试验结果表明,该系统体积小、成本低,仿真环境逼真度高,较好地满足了操作手进行任务设备侦察、跟踪训练需求,具有实际的应用及推广价值。     

QPSO在无人机侦察航路规划中的应用研究

对于侦察区内的防空威胁和目标分布情况,对飞行航路预先规划,可以减小被敌方发现和飞行距离,从而显著提高UAV侦察效率.在研究了粒子群算法的基础上,提出了具有量子行为的粒子群算法,并首次将该算法应用于无人机航路规划.目标函数主要考虑地面防空威胁与飞行距离这两个主要因素,并给出了航路规划的方法和步骤,该算法很好的解决了粒子群算法局部极值问题.实验结果表明,QPSO算法收敛快,得到的侦察航路较优,且很好的对威胁进行回避,能有效满足无人机飞行任务规划的要求.     

基于改进A*算法的无人机航迹规划

在无人机航迹规划问题的研究中,针对在执行飞行任务前,需要根据所经区域内已知的地形、地貌、障碍和威胁等信息以及飞机本身机动能力的限制计算出飞行航迹, 并根据规划出的航迹完成飞行任务.能准确识别起始点到目标航路,提出了一种基于改进A*算法的无人机航迹规划方法,将无人机自身的性能和飞行任务结合到A*算法中去,在节点的搜索过程中解决了A*算法大空间搜索耗时多的问题.通过简单的路径消减算法去除不必要的航迹点,使得规划出来的航迹能够最大程度上满足无人机的运动特性.仿真结果表明采用的方法计算速度快并且规划达到最优性能.     

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.