电磁式爬壁机器人平台

本文介绍了一种新型电磁式爬壁机器人平台。机器人平台从客观需求出发,利用电磁铁可以吸附铁质物体的原理,实现机器人在铁质壁面上竖直攀爬。机器人平台以单片机为控制核心,控制四只仿生脚的行动和电磁铁的吸附,由无线控制器实现远程控制。平台搭载多种传感器,以检测机器人周围的环境状态,并应用无线传输技术,将传感器监测数据时时传回控制电脑。还可由电脑控制,利用机器人上加装的机械臂,完成简单操作。本项目作品可以应用于强热辐射、浓烟、污染气体等复杂环境的场所实施远程测控,也可以应用于船体、高炉检测等方面。     

IPv4&IPv6共存网络隧道发现方法研究

本文对当前IPv4&IPv6共存网络中的隧道技术进行分析,提出一套改进型的基于源路由单点探测的骨干网隧道发现方法。该方法根据路径中双栈节点间的跳数变化和PMTU变化情况发现隧道,可以发现骨干网络交叉链路中的多级隧道。这对进一步研究过渡时期的网络拓扑发现技术具有一定的参考价值。     

基于人工神经网络的智能设计系统研究与实现

针对轴对称的拉深零件的设计,引入了特征编码文件概念,将零件特征以特征编码的形式表示出来。为了实现过程状态模型的智能输出,运用人工神经网络实现自动推理的功能;通过智能推理系统,除去了经验化设计中的不断摸索和改进,将零件的特征造型输入之后,系统能够自动确定零件的工艺流程,进而实现自动化生产。系统能够帮助开发和设计人员迅速的产生设计实例,使开发人员能够更专注于产品的创新活动,对于提高企业的产品设计和研发能力有着重要的实际意义。     

数字图书馆容灾系统建设研究

本文在阐述数据容灾概念与技术的基础上,简单分析了当前几种关键技术,并针对目前我国数字图书馆的可用性与安全性要求高的特点,提出了应用SAN技术实现数字图书馆容灾系统的设计方案,然后对此方案进行了分析,为其他容灾系统的建设起参考与借鉴作用。     

基于Windows平台VxWorks交叉编译工具的设计

在开发VxWorks嵌入式平台时,开发厂商会推出一整套交叉编译工具链来配合自身的嵌入式产品,但是这些由商业公司提供的工具链,都不会附有工具链相关的源代码和制作方法,灵活性不足,并且它们一般都与整套开发系统捆绑销售使用,成本较高.为了更好地理解这种技术和降低成本,使用了国际开源组织GNU开发的工具链作为产品开发的工具,提...     

iView: a feature clustering framework for suggesting informative views in volume visualization

The unguided visual exploration of volumetric data can be both a challenging and a time-consuming undertaking. Identifying a set of favorable vantage points at which to start exploratory expeditions can greatly reduce this effort and can also ensure that no important structures are being missed. Recent research efforts have focused on entropy-based viewpoint selection criteria that depend on scalar values describing the structures of interest. In contrast, we propose a viewpoint suggestion pipeline that is based on feature-clustering in high-dimensional space. We use gradient/normal variation as a metric to identify interesting local events and then cluster these via k-means to detect important salient composite features. Next, we compute the maximum possible exposure of these composite feature for different viewpoints and calculate a 2D entropy map parameterized in longitude and latitude to point out promising view orientations. Superimposed onto an interactive track-ball interface, users can then directly use this entropy map to quickly navigate to potentially interesting viewpoints where visibility-based transfer functions can be employed to generate volume renderings that minimize occlusions. To give full exploration freedom to the user, the entropy map is updated on the fly whenever a view has been selected, pointing to new and promising but so far unseen view directions. Alternatively, our system can also use a set-cover optimization algorithm to provide a minimal set of views needed to observe all features. The views so generated could then be saved into a list for further inspection or into a gallery for a summary presentation.     

A novel Parzen probabilistic neural network based noncoherent detection algorithm for distributed ultra-wideband sensors

Ultra-wideband (UWB) has been widely recommended for significant commercial and military applications. However, the well-derived coherent structures for UWB signal detection are either computationally complex or hardware impractical in the presence of the intensive multipath propagations. In this article, based on the nonparametric Parzen window estimator and the probabilistic neural networks, we suggest a low-complexity and noncoherent UWB detector in the context of distributed wireless sensor networks (WSNs). A novel characteristic spectrum is firstly developed through a sequence of blind signal transforms. Then, from a pattern recognition perspective, four features are extracted from it to fully exploit the inherent property of UWB multipath signals. The established feature space is further mapped into a two-dimensional plane by feature combination in order to simplify algorithm complexity. Consequently, UWB signal detection is formulated to recognize the received patterns in this formed 2-D feature plane. With the excellent capability of fast convergence and parallel implementation, the Parzen Probabilistic Neural Network (PPNN) is introduced to estimate a posteriori probability of the developed patterns. Based on the underlying Bayesian rule of PPNN, the asymptotical optimal decision bound is finally determined in the feature plane. Numerical simulations also validate the advantages of our proposed algorithm.     

Multi-relaxation-time lattice Boltzmann model for axisymmetric flows

In this paper, a lattice-Boltzmann equation (LBE) with multi relaxation times (MRT) is presented for axisymmetric flows. The model is an extension of a recent model with single-relaxation-time [Guo et al., Phys. Rev. E 79, 046708 (2009)], which was developed based on the axisymmetric Boltzmann equation. Due to the use of the MRT collision model, the present model can achieve better numerical stability. The model is validated by some numerical tests including the Hagen-Poiseuille flow, the pulsatile Womersley flow, and the external flow over a sphere. Numerical results are in excellent agreement with analytical solutions or other available data, and the improvement in numerical stability is also confirmed.     

USB1.1设备控制器IP核的设计与实现

针对安全USB设备与PC主机数据通信的需要,依据USB1.1标准规范,文章设计一种USB1.1设备控制器IP核.该控制器IP核支持全速模式下控制、批量、中断三种传输方式,且传输端点数可配置.基于FPGA平台,对控制器IP核进行了实现,并在8051的配合下对实现进行了测试.测试结果表明其与主机之间的数据通信是可行的,可应用于SoC集成设计,为密码安全USB设备的开发奠定了基础.     

大容量NAND Flash文件系统中的地址映射算法研究

随着Flash芯片容量的日益增长,如何设计低空间复杂度的Flash管理算法已经成为RAM空间受限的嵌入式存储系统的一个关键问题.本文根据文件在Flash介质上连续存放的特性,引入区段的概念,提出基于极大映射区段的地址映射算法,并使用简单的数据结构和高效的算法来维护映射中的区段,大大减小了Flash文件系统的RAM用量.最后,通过不同应用负载的实验验证了该算法的有效性.在部分应用负载下,可降低高达95%的RAM使用量.