新疆伊吾县北山金矿床主要特征及其扩大找矿前景

北山金矿区成矿地质条件十分有利，矿区内与华力西晚期中酸性浅成岩浆建造有关的蚀变、矿化广泛发育，矿区东部与中酸性浅成岩浆建造有关的脉状蚀变岩型金矿化已达小型矿床规模．通过在矿区开展的综合物化探快速评价工作，在矿区西部发现了面积达2km^2，作SN向展布的大规模面型高相位电性异常，其峰值达47mrad，一般均在15mrad以上。同时在电性异常之上叠加有Au，As和Sb的面型化探异常。结合区内金矿与中酸性浅成岩浆建造密切相关的事实，表明矿区西部很可能存在寻找次火山斑岩型隐状—半隐状金矿的潜在远景。     

陕西邮政多样化业务开发研究

西部大开发为陕西邮政发展带来了难得的机遇。因此 ,将现有网络资源与地区经济相结合开发多样化业务是陕西邮政的必然选择。本文主要提出了陕西邮政进行多样化业务开发的思路及框架 ,并指出业务选择时应注意的问题。     

一种基于主色调匹配的图像检索方法

在基于内容的图像检索中，颜色作为图像的一种重要视觉信息已得到广泛的应用，主色调可以反映一幅图像的基本面貌，其实质就是用较少的颜色来表示原图像，并且在视觉上与原图像相似，由此，在均匀颜色空间中利用聚类分析的方法将色彩聚类为几种主要颜色，从而实现对颜色的量化，并利用直方图表示主色信息，最后采用直方图交叉算法进行图像的相似度匹配，取得了满意的实验效果。     

FIRA''2001全自主式机器人竞赛系统

详细介绍了国际机器人足球联盟FIRA(Federation of International Robot-soccer Association)于2001年在北京举办的全自主机器人比赛系统。详细描述了该类机器人的技术特点、工作方式，以及比赛中涉及到的一些关键性技术。     

基于区域生长的道路图像分割技术研究

对一幅给定的道路图像，首先计算其梯度图像，然后利用HOUGH变换确定粗略道路区，根据灰度直方图全局峰值个数选取区域核心点，采用近邻函数准则聚类算法选取区域生长阈值，结合单一型链接区域生长和质心型链接区域生长作为生长准则进行区域生长，得出道路区的区域描述。     

基于二维灰度图象的道路区域获取方法

针对二维灰度图象给出了一种获取道路区域的方法。首先基于边缘特性利用灰度直方图把初始生长点限定在道路区以内,然后确定区域生长阈值,以待生长点与已生长邻点的灰度接近性和已生成区域的均值接近性作为生长准则,形成准确的道路区域。     

LOGUE: an architecture for task and behavior object transmission among multiple autonomous robots

This paper proposes a new communication and control architecture which improves the capability and the flexibility of multiple autonomous robot systems in performing a complicated task and coping with unpredictable situations. This system treats robot’s information as a Behavior Element Object (BEO) and a Task Object (TO) in terms of Object Oriented paradigm. Both BEO and TO can be serialized, so they can be communicated among the robots and behavior server system in the network. The action manager module, device module, and some checking mechanisms are also designed for executing new TO or BEO sent from other robots or a server system. A simulation and basic experiments are presented for a situation of robots’ relief for an emergency purpose.     

一种眼底图象的三维重建方法

将图象处理技术与真实感图形绘制技术相结合，提出了一种眼底图象的三维重建方法。着重阐述了二维图象的三维信息恢复，再利用三维信息及真实感绘制技术来实现三维眼底图象。     

The uses of fuzzy logic in autonomous robot navigation

 The development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in the current research on robotics. An important problem in autonomous navigation is the need to cope with the large amount of uncertainty that is inherent of natural environments. Fuzzy logic has features that make it an adequate tool to address this problem. In this paper, we review some of the possible uses of fuzzy logic in the field of autonomous navigation. We focus on four issues: how to design robust behavior-producing modules; how to coordinate the activity of several such modules; how to use data from the sensors; and how to integrate high-level reasoning and low-level execution. For each issue, we review some of the proposals in the literature, and discuss the pros and cons of fuzzy logic solutions. Received: 31 March 1997 / Accepted: 24 September 1997