Information-theoretic Approaches Based on Sequential Monte Carlo to Collaborative Distributed Sensors for Mobile Robot Localization

We consider the Sequential Monte Carlo (SMC) method for Bayesian inference applied to the problem of information-theoretic distributed sensor collaboration in complex environments. The robot kinematics and sensor observation under consideration are described by nonlinear models. The exact solution to this problem is prohibitively complex due to the nonlinear nature of the system. The SMC method is, therefore, employed to track the probabilistic kinematics of the robot and to make the corresponding Bayesian estimates and predictions. To meet the specific requirements inherent in distributed sensors, such as low-communication consumption and collaborative information processing, we propose a novel SMC solution that makes use of the particle filter technique for data fusion, and the density tree representation of the a posterior distribution for information exchange between sensor nodes. Meanwhile, an efficient numerical method is proposed for approximating the information utility in sensor selection. A further experiment, obtained with a real robot in an indoor environment, illustrates that under the SMC framework, the optimal sensor selection and collaboration can be implemented naturally, and significant improvement in localization accuracy is achieved when compared to conventional methods using all sensors.     

一种面向数据结构的策略翻译技术

策略翻译是目前策略管理研究的难点之一.针对以数据结构表示的策略,提出策略结构五元组概念,增设可扩展的词库,采用XML语言统一描述策略结构,设计通用的脚本分析模块,支持不同设备类型的策略结构,实现透明的策略翻译,提高了策略管理的伸缩性、统一性和透明性.     

Cryptanalysis of RSA for a special case with d > e

In this paper, we study the RSA public key cryptosystem in a special case with the private exponent d larger than the public exponent e. When N ^0.258 ⩽ e ⩽ N ^0.854, d > e and satisfies the given conditions, we can perform cryptanalytic attacks based on the LLL lattice basis reduction algorithm. The idea is an extension of Boneh and Durfee’s researches on low private key RSA, and provides a new solution to finding weak keys in RSA cryptosystems. Supported partially by the National Basic Research Program of China (Grant No. 2003CB314805), the National Natural Science Foundation of China (Grant Nos. 90304014 and 60873249), and the Project funded by Basic Research Foundation of School of Information Science and Technology of Tsinghua     

交流变频调速电梯系统设计和应用

电梯作为现代高层建筑的垂直交通工具,得到了快速发展,其拖动技术已经发展到了调频调压调速,其逻辑控制也由PLC代替原来的继电器控制。文章在已有的通用变频器的基础上,采用PLC对电梯进行控制,通过合理的选择和设计,提高了电梯的控制水平,并改善了电梯运行的舒适感,使电梯达到了较为理想的控制效果。     

基于LabVIEW的食管动力检测系统设计

设计了一种基于虚拟仪器技术的食管动力检测系统,可以实现食管动力信号的实时采集、显示以及数据的自动记录与分析处理等功能,用于消化道动力障碍性疾病的辅助诊断。本文介绍了系统的硬件组成、下位机设计和LabVIEW环境下的上位机软件设计。     

基于局部排序的视频拷贝检测

排序法是一种常用的视频拷贝检测方法.为获得更佳的检测性能,提出一种基于排序特征的视频拷贝检测方案.该方案将帧进行分块,并按照Hilbert曲线顺序分别计算曲线上相邻块的灰度关系排序特征,生成用于检测的哈希码;为了准确地在目标视频中定位可疑内容,提H{了哈希匹配方案,将序列相似度作为匹配的依据,并引入动态规划的方法提高匹配精度;最后构造了拷贝测试样本,并与传统的排序签名检测方案进行性能对比实验.结果表明,文中方案拥有较好的检测性能,适用于视频内容的拷贝检测.     

危险化学品流域污染模拟

危险化学品的流域污染关系到社会安全的重大问题.本论文二次开发CE-QUAL-W2,得突发性流域污染模型.通过建立二维水力学模型及二维水质模型,运用数值计算方法,自动计算水力学变量,快速应急模拟危险化学品造成的流域污染.同时,作者利用收集到的信息,模拟吉林双苯厂爆炸造成的松花江的流域污染,结果基本达到迅速、直观的应急反应要求,表明模型有效.     

电容式油量测量系统的姿态误差分析

针对目前飞机上电容式油量传感器测量燃油时产生的姿态误差问题进行了研究,以飞机上的规则油箱为例,从理论上详细地分析了电容式油量测量系统的姿态误差,并绘制出其误差曲线,给出了减小姿态误差的方法,最后提出了在姿态误差最小的准则下确定传感器的最佳安装位置;文中提出的减小姿态误差的方法,不仅有利于提高燃油测量系统的可靠性和安全性,而且可以改善燃油测量系统的维修性,使燃油量测量技术跃上了一个新的台阶。     

一种多总线通讯系统的实现

首先讨论了多总线通讯系统的主从式网络构建方法和通讯MBI的功能;其次给出了多总线通讯系统中总线利用率和总线负载的计算方法以及在系统中时基的应用方法。在此基础上,论述了基于ADSP21060,结合1553B总线和RS-422总线的多总线通讯系统的实现,具体包括硬件接口设计和通讯软件的实现。实验表明,多总线通讯系统适用于外部总线负载小于70%,内部总线负载小于40%的通讯系统,具有普遍意义。     

Rainbow Product Ranking for Upgrading E-Commerce

Online product ranking is complicated by conflicting attributes. The authors propose a rainbow ranking system to solve this problem in e-commerce. This approach extends eBay's one-to-one shopping paradigm to a flexible one with many-to-many transactions. The system demonstrates a 50 to 70 percent transaction increase over skyline and eBay ranking methods. Buyers are allowed personalized selections of commodity products, whereas sellers benefit from both wholesale and retailing online. The rainbow scheme thus creates a win-win situation for both buyers and sellers in widened e-commerce marketplaces.