无线传感网络的3D粒子群定位算法

设计了一套基于粒子群算法的ZigBee无线传感网络3D定位算法。采用ZigBee节点JN5148进行测距,并对测距效果和误差进行分析。在设计粒子群算法目标函数时,根据测距距离远近赋予数据不同权重。仿真实验证明,本文定位算法性能良好。     

武汉黄埔路污水处理厂二期改建工程深基坑设计

为满足长江防洪要求,武汉市黄埔路污水处理厂二期改建工程结构采用深基坑围护埋于地下。由于基坑位于长江大堤外滩地,深基坑具有地质条件软弱、承压水与长江水力联系紧密及周边环境复杂等特点。设计根据上述特点,经方案比较,基坑支护采用钻孔灌注桩加两道钢筋混凝土水平支撑体系,基坑降封水采用坑外高喷防渗帷幕和坑内前期深井降水、后期深井降水与封底相结合的处理方式,合理解决了基坑施工、运行及换撑拆除各个阶段的工程技术问题。     

Multi-mode of vortex-induced vibration of a flexible circular cylinder

The vortex-induced vibration of a flexible circular cylinder is investigated at a constant Reynolds number of 1 000.The finite-volume method on moving meshes is applied for the fluid flow, and the Euler-Bernoulli beam theory is used to model the dynamic response of a flexible cylinder.The relationship between the reduced velocity and the amplitude response agrees well with the experimental results.Moreover, five different vibrating modes appear in the simulation.From the comparisons of their vortex structures, the strength of the wake flow is related to the exciting vibrating mode and different vortex patterns arise for different vibrating modes.Only 2P pattern appears in the first vibrating mode while 2S-2P patterns occur in the other vibrating modes if monitoring at different sections along the length of the cylinder.The vibration of the flexible cylinder can also greatly alter the three-dimensionality in the wake, which needs further studies in our future work, especially in the transition region for the Reynolds number from 170 to 300.     

三维颅骨模型获取方法研究

颅面复原是一种对人类的颅骨进行面部容貌复原的技术,该技术以人类学、法医学、解剖学中的头骨与面貌相互关系规律为科学依据,广泛应用于考古、刑侦等领域。其中获取三维颅骨模型是实现复原的第一步,颅骨模型的准确与否会直接影响到将来颅面复原的准确性。文中主要介绍了两种获取三维颅骨模型的方法,一种是对cT图像进行面绘制三维重构,另一种是使用三维扫描仪获取三维颅骨模型。之后对获取的颅骨模型建立法兰克福坐标系。实验表明,通过这两种方法获取的颅骨模型为颅面复原提供了良好的颅骨原始数据。     

大型机械设备三维仿真训练系统的关键技术

大型机械设备具有体积庞大、价格昂贵、操作复杂、生产环境恶劣等特点,这些都给学习和操作此类设备带来了很多不便。针对这种实际情况,开发出以计算机仿真技术为核心大型机械设备三维仿真训练系统,可应用于对大型机械设备操作人员的培训。介绍了开发大型机械设备三维仿真训练系统应解决的关键问题,并以采用Java3D技术开发的锻压机三维仿真训练系统为例进行了验证。在应用中表明,大型机械设备三维仿真训练系统具有安全性、实用性、经济性等特点。     

一种变形表面的三维测量方法

提出一种新的利用标定图像进行三维测量的方法。利用SIFT算法找到初始的对应点,然后根据这些点生成三维空间中的种子点,再以这些种子点为中心,向外区域增长,直到完成整个物体表面测量。在每次增长的过程中,需要计算增长的三维空间平面在两个相机上的投影之间的图像相关系数。图像相关系数较大时认为是正确的增长,否则是错误的增长。实验证明,使用该方法能够得到很好的三维测量结果。     

雷达跟踪系统的数据显示

介绍用单片机与制导雷达显示器组成的数据显示系统的设计,并且将目标的高度以数字的形式在显示器上显示,缩短操纵员的训练时间,完成了旧系统的改造升级。     

基于改进的GRNN的销量预测

根据灯具销量具有增长趋势和周期性二者合成的非线性特点,本文利用相空间重构理论确定GRNN的输入节点数,以加权误差代价函数代替传统误差代价函数为目标训练网络,采用粒子群优化算法优化平滑参数,并在此基础上将GRNN用于灯具销量的短期预测。与传统的BPNN相比,改进后的GRNN预测精度更高,抗噪声能力更强,模型更稳健。     

Locally linear reconstruction for instance-based learning

Instance-based learning (IBL), so called memory-based reasoning (MBR), is a commonly used non-parametric learning algorithm. k-nearest neighbor (k-NN) learning is the most popular realization of IBL. Due to its usability and adaptability, k-NN has been successfully applied to a wide range of applications. However, in practice, one has to set important model parameters only empirically: the number of neighbors (k) and weights to those neighbors. In this paper, we propose structured ways to set these parameters, based on locally linear reconstruction (LLR). We then employed sequential minimal optimization (SMO) for solving quadratic programming step involved in LLR for classification to reduce the computational complexity. Experimental results from 11 classification and eight regression tasks were promising enough to merit further investigation: not only did LLR outperform the conventional weight allocation methods without much additional computational cost, but also LLR was found to be robust to the change of k.