移动式数据挖掘平台模型

本文提出了一种移动式网络海量数据挖掘平台，给出了数据挖掘任务的形式化描述，详细讨论了平台的体系结构、工作原理与流程。该平台克服了传统网络计算模式的缺陷，支持对异质、分散数据源和知识源的挖掘和检索，具有开放性、可伸缩性、灵活性、可扩展性、健壮性。     

蜂窝移动通信系统核心网络的演进与全IP核心网络

分析了现有移动通信网络存在的问题，阐述了第2代移动通信核心网向第3代移动通信核心网演进的必然性：讨论了第2代移动通信核心网向第3代移动通信核心网演进所采用的演进策略，介绍了两种可供选择的全IP核心网络的参考结构。     

机械臂的动态混合控制

本文研究当机械臂的终端受有约束时的控制问题,其中心内容是给出“任务规范投影算子”的概念,利用它首先将机械臂的动态方程解耦为两组方程,它们分别描述了运动与约束力,在此基础上给出了机械臂的控制律,使闭环系统跟踪期望的速度与约束力。     

Integrated Personal Mobility Architecture: A Complete Personal Mobility Solution

The high expectations and demand for users to access the Internet from anywhere at anytime has made user mobility an important part of the design and development of the next generation mobile communications and computing. Traditionally user mobility has been divided into two areas: Terminal Mobility and Personal Mobility. In recent years terminal mobility has focused on the movement of the terminal and developed extensions to IP protocols such as Mobile IP. In contrast, personal mobility has only received limited attention, and is somewhat lagging behind. This research has either focussed on personal mobility in communications or personalisation of operating environments. As a result, to date no framework for providing true personal mobility has emerged. In this paper, we introduce a new personal mobility framework called IPMoA (Integrated Personal Mobility Architecture), which integrates both aspects of personal mobility to provide a complete personal mobility solution, and illustrate the viability of this approach through a proof-of-concept implementation.     

关于移动信道分析模型的研究

移动信道特性的研究是移动通信系统研究领域中最重要的部分，也是近年来研究的热点之一。其中多径传播和阴影效应是信道的主要特点，几乎任何统计特性都建立在此基础上。主要是介绍一种移动信道的分析模型，该模型的地理环境为市区，即移动台和基站之间不存在直视波（LOS），并从多普勒功率谱的角度给出了接受信号振幅和相位的概率密度函数（PDF）盈自相关和互相关函数。     

T-DMB手机电视接收终端探讨

对T-DMB手机电视接收终端中广播电视接收处理系统的组成和原理作了介绍,并针对小型化、低功耗、和高性价比等难题,结合手机及其芯片设计的解决方案进行了探讨,对三星SPH-B2300机型进行了点评.另外,还对T-DMB接收终端的研发提出了建议.     

第三代移动通信发展概况

介绍了第3代移动通信3种主流技术的市场应用、设备成熟度，以及国际和国内标准化发展状况，我国第3代移动通信技术试验的总体情况。     

中国3G运营商的目标市场与业务模式初探

中国3G业务的市场需求有两个方面：一是迅猛增长、规模庞大的用户群对移动语音业务的需求；二是较高收入用户群对移动数据业务的需求。3G运营商的目标市场包括大众用户对移动语音的需求、大众用户对移动数据业务的需求、企业用户对移动数据业务的需求以及批发型用户的需求等。本结合国内外移动运营商的数据业务开展状况，初步探讨了中国3G运营商的移动数据业务模式和3G业务的收入模式。     

Nonholonomic Mobile Manipulators: Kinematics, Velocities and Redundancies

We consider nonholonomic mobile manipulators built from an n _a joint robotic arm and a nonholonomic mobile platform with two independently driven wheels. Actually, there is no efficient kinematic formalism for these systems which are generally characterized by their high number of actuators. So, kinematic modelling is presented with particular emphasis on redundancy. Whereas kinematic redundancy is well known in the holonomic case, it is pointed out that it is necessary to define velocity redundancy in the case of nonholonomic systems. Reduced velocity kinematics based on quasi-velocities are shown to provide an efficient formalism. Two examples of mobile manipulators are presented. Finally, reduced velocity kinematics and velocity redundancy are shown to be adequate tools in order to realize operational task while optimizing criteria such as manipulability.     

Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans

A mobile robot exploring an unknown environment has no absolute frame of reference for its position, other than features it detects through its sensors. Using distinguishable landmarks is one possible approach, but it requires solving the object recognition problem. In particular, when the robot uses two-dimensional laser range scans for localization, it is difficult to accurately detect and localize landmarks in the environment (such as corners and occlusions) from the range scans.In this paper, we develop two new iterative algorithms to register a range scan to a previous scan so as to compute relative robot positions in an unknown environment, that avoid the above problems. The first algorithm is based on matching data points with tangent directions in two scans and minimizing a distance function in order to solve the displacement between the scans. The second algorithm establishes correspondences between points in the two scans and then solves the point-to-point least-squares problem to compute the relative pose of the two scans. Our methods work in curved environments and can handle partial occlusions by rejecting outliers.