Adaptive generation of surfaces in volume data

A widespread approach to generating polygonal approximations of iso-surfaces or contour surfaces in volume data is the socalled marching-cubes algorithm. This algorithm, however, has the disadvantage that the number of polygonal chains generated is considerable. The splitting-box algorithm presented here reduces the number of polygonal chains by adapting their size to the shape of the surface. The resulting polygonal chains offer a wide spectrum for representing the contour surface. An exact representation is achieved by a new type of generic patches calculated from the polygonal chains. Approximations of different quality may be obtained by combining the algorithm generating the patches with simple triangulations.     

Accurate estimation of environment parameters from ultrasonic data

This paper describes a robust and accurate ultrasonic sensing system for a mobile robot. The system continuously updates a local map of the environment in which obstacles are represented by straight lines or points in a robot centered coordinate frame. The presented algorithms use a Kalman filter for the reduction of the noise in the ultrasonic data and use a systematical error correction (‘bundle correction’) to reduce the uncertainty in obstacle direction. Experiments are carried out in simulation and with a real mobile robot system. Results show that the accuracy with which line parameters can be estimated is in the order of 1 degree for the orientation and about 2 cm for the position. The effect of the bundle correction is significant and maximal when the robot approaches walls under a small angle.     

红外图像序列小目标检测预处理技术

文中就如何复杂背景条件下低信噪比的小目标检测概率问题展开了讨论，提出了用空间高通滤的方法改善图像质量，达以抑制背景噪声，增强小目标的目的，并交坑通滤波和中值滤波做了一个简单的比较，随后采用分层投票表决法对目标进行检测，取得了良好效果。     

Neural Network Feedback Control: Work at UTA’s Automation and Robotics Research Institute

This is an outline of research in neural networks for feedback control done since the mid 1990s at the Automation and Robotics Research Institute (ARRI) of The University of Texas at Arlington (UTA). It shows how the developments of Intelligent Control Systems based on neural networks have followed three main generations. This statement provides a short, broad-brush perspective on the development of intelligent neural feedback controllers.     

接触传热表面粗糙度曲线的统计特征

测量了一般机械加工表面的轮廓曲线，基于小波变换提取了粗糙度曲线，分析了轮廓高度和接触峰高度的统计分布特征。研究结果表明，轮廓高度不服从严格的正态分布，但具有一定的正态性，而接触峰高度的统计特征与其评定标准有直接的关系。因此，对于接触热阻的计算模型来说，接触点数的计算应以合理选取接触峰的评定标准为前提。     

弹性筛管防砂技术

弹性筛管防砂技术是根据稠油油藏高轮次吞吐和蒸汽驱井防砂生产需要而研制的筛管防砂新技术。进行了筛管结构优化、加厚过滤单元外罩设计、固定方式研究、弹性过滤材料筛选、防腐实验研究等。室内试验表明，筛管的过流能力在900cm^2／m以上、渗透率在100μm^2以上、筛管抗内、外压强度达到20MPa、防砂粒径在0.1mm以上、耐温350℃、pH值在3～12之间不被腐蚀。现场试验证明，该技术防砂和抗堵塞性能好，防砂有效期长，地层适应性强，施工简便，防砂生产效果明显，具有良好的应用前景。     

从公共住房到租金优惠券——美国低收入阶层住房政策演化解析

本文对美国低收入阶层住房政策的演化过程作了介绍 ,分析了其中三种典型住房政策的实施效果。在把握我国国情的基础上 ,借鉴美国住房政策演化过程的经验教训 ,为建立我国弱势人群住房政策提出了建议。     

数字放大器—3G无线基站的助推器

为了构筑第三代无线网络,人们需要对现有基础设施进行彻底改造,包括网络的发射基站。配置在无线基站中的新型数字控制功率放大器能够改善频谱利用率和功率效率,从而提高系统容量。PMC-Sierra公司的数字控制功率放大器采用了数字校正信号处理器(DCSP)以及自适应控制处理器和补偿估值器(ACPCE),该放大器可改善无线基础设施的可靠性,同时降低系统成本、规模及复杂性。     

复合轴控制系统应用研究

复合轴控制是提高光电跟踪系统精度和控制带宽的一种有效手段，尤其在光束定向器系统中，不仅要求系统要稳定地跟踪上动态目标，而且必须将光束涣定在目标的某一点上，这对控制系统的要求是非常高的，必须采用双或三复合轴控制方式。     

Learning and Revising User Profiles: The Identification of Interesting Web Sites

We discuss algorithms for learning and revising user profiles that can determine which World Wide Web sites on a given topic would be interesting to a user. We describe the use of a naive Bayesian classifier for this task, and demonstrate that it can incrementally learn profiles from user feedback on the interestingness of Web sites. Furthermore, the Bayesian classifier may easily be extended to revise user provided profiles. In an experimental evaluation we compare the Bayesian classifier to computationally more intensive alternatives, and show that it performs at least as well as these approaches throughout a range of different domains. In addition, we empirically analyze the effects of providing the classifier with background knowledge in form of user defined profiles and examine the use of lexical knowledge for feature selection. We find that both approaches can substantially increase the prediction accuracy.