基于MS-FCM算法的MR图像分割方法

针对传统模糊C-均值(FCM)聚类算法在分割低信噪比图像时准确性较差的问题,提出一种用于MR图像分割的改进算法MS-FCM。针对脑部MR图像相邻像素属于同一分类的模糊隶属度相近的特性,在迭代过程中对隶属度数据集进行滤波,以降低噪声对聚类精度的影响。模拟脑部MR图像和临床脑部MR图像的分割实验证明,该算法可以提高图像分割精度。     

HPMR系统KV路由算法设计

提出一种针对HPMR系统的KV路由算法。HPMR系统是MapReduce模型的一个实现,改进了MapReduce模型以适应高性能计算的需求。HPMR的KV路由算法生成KV路由表,所有数据的收发动作将依据该路由表进行。KV路由算法产生的KV路由表直接决定HPMR系统在通信阶段的时间开销。实验结果表明,该KV路由算法产生的KV路由表可以提高HPMR系统的通信性能。     

MR编码在传真图像编码中的仿真应用

传真图像的信息量非常大,对其进行数据压缩,不仅可以节省存储空间,而且可以有效地降低传输时间。采用MR编码对传真图像进行数据压缩,设计了压缩和解压缩编码算法。仿真实验表明,该算法可以满足传真图像对压缩比和压缩速度的要求,且有效可行。     

Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation

This study presents an image segmentation system that automatically segments and labels T1-weighted brain magnetic resonance (MR) images. The method is based on a combination of unsupervised learning algorithm of the self-organizing maps (SOM) and supervised learning vector quantization (LVQ) methods. Stationary wavelet transform (SWT) is applied to the images to obtain multiresolution information for distinguishing different tissues. Statistical information of the different tissues is extracted by applying spatial filtering to the coefficients of SWT. A multidimensional feature vector is formed by combining SWT coefficients and their statistical features. This feature vector is used as input to the SOM. SOM is used to segment images in a competitive unsupervised approach and an LVQ system is used for fine-tuning. Results are evaluated using Tanimoto similarity index and are compared with manually segmented images. Quantitative comparisons of our system with the other methods on real brain MR images using Tanimoto similarity index demonstrate that our system shows better segmentation performance for the gray matter while it gives average results for white matter.     

野草入侵模糊算法的半主动空气悬架研究

为了抑制由路面不平引起的车辆振动,结合磁流变阻尼器和空气弹簧的变阻尼/刚度特性,设计了含内置永磁体式磁流变阻尼器的半主动空气悬架系统.基于电磁学原理,对内置永磁体式磁流变阻尼器的力学特性建模.建立了1/4车辆二自由度动力学模型,并利用野草入侵算法对常规模糊算法规则进行优化,开发了野草入侵-模糊混合控制策略对内置永磁体磁流变阻尼器的空气悬架进行半主动控制.为验证该控制策略在磁流变空气悬架的半主动控制效果,进行了C级路面随机输入及凸块脉冲输入仿真分析,仿真结果可知,野草入侵-模糊控制策略能有效地提高半主动悬架系统的综合性能.并且通过台架试验进一步表明,利用该控制策略能够使车身振动加速度及悬架动挠度分别减小25.87%、35.13%.     

高寒地区高铁运用安全冗余及其转向架优配解决方案

为解决高寒地区高铁运用安全冗余问题,应用基于抗蛇行频带吸能机制的稳定新理论提出转向架优配方案．针对三大扰动或摄动影响,即蛇行振荡参振质量摄动、抗蛇行减振器性能摄动以及风荷侧向扰动,该转向架优配方案合理挖掘欧系车辆技术优势,因此高速列车具有十分理想的稳定鲁棒性能,经济时速可以达到350～380km／h．考虑到SACHS抗蛇行减振器的技术可靠性,高寒车最佳商业速度不得不降至300km／h．尽管如此,高寒车的运用必须是个积极稳健的推进过程,即由200km／h逐步提速,最终达到300km／h运用．     

A framework with modified fast FCM for brain MR images segmentation

Intensity inhomogeneity, noise and partial volume (PV) effect render a challenging task for segmentation of brain magnetic resonance (MR) images. Most of the current MR image segmentation methods focus on only one or two of the effects listed above. In this paper, a framework with modified fast fuzzy c-means for brain MR images segmentation is proposed to take all these effects into account simultaneously and improve the accuracy of image segmentations. Firstly, we propose a new automated method to determine the initial values of the centroids. Secondly, an adaptive method to incorporate the local spatial continuity is proposed to overcome the noise effectively and prevent the edge from blurring. The intensity inhomogeneity is estimated by a linear combination of a set of basis functions. Meanwhile, a regularization term is added to reduce the iteration steps and accelerate the algorithm. The weights of the regularization terms are all automatically computed to avoid the manually tuned parameter. Synthetic and real MR images are used to test the proposed framework. Improved performance of the proposed algorithm is observed where the intensity inhomogeneity, noise and PV effect are commonly encountered. The experimental results show that the proposed method has stronger anti-noise property and higher segmentation precision than other reported FCM-based techniques.     

一种基于InSb磁敏电阻器的接近开关

介绍了锑化铟(InSb)磁阻式接近开关的工作原理,设计了信号处理电路,并对其动态性能进行了测试.实验结果表明:径向间距为4 mm时,接近开关动作距离大于8 mm,回差距离小于0.06 mm,重复定位精度优于0.04mm,可适用于工作频率0～5 kHz范围内的铁磁性物质检测.该接近开关灵敏度高,开关动态特性较好,且结构简...     

A Simulation Study on the Behavior of Magnetorheological Fluid on Herringbone-Grooved Hybrid Slot-Entry Bearing

Abstract

In recent years, extensive use of smart lubricants has been made in order to control the tribological performance of fluid film bearings. The grooved surfaces of the journal bearing greatly influence the performance of bearings. In the present work, various geometric shapes of herringbone grooves (rectangular, triangular, and parabolic) with groove angles (30° and 60°) have been considered to numerically simulate the performance of slot-entry bearings. The work reported in this article deals with the numerical simulation of magnetorheological (MR) fluid–lubricated slot-entry herringbone-grooved hybrid journal bearings. Dave equation, a constitutive relation of the Bingham model, was employed to simulate the flow behavior of MR fluid. Using the finite element method (FEM), the governing Reynolds equation for a hybrid slot-entry bearing model was solved. The result shows that the use of a herringbone-grooved surface and application of MR fluid in a slot-entry bearing offers better stability and higher fluid film stiffness and minimizes frictional torque.     

形状记忆合金金属橡胶阻尼器防高墩桥梁地震碰撞振动台试验研究

为研究形状记忆合金(shape memory alloy,SMA)金属橡胶减振器防高墩桥梁地震碰撞效能,采用ElCentro、Taft和人造地震动,进行了高墩桥梁钢模型地震碰撞试验和防高墩桥梁钢模型试验(设置SMA金属橡胶阻尼器),详细对比分析了SMA金属橡胶阻尼器控制效能.结果证明,由于SMA金属橡胶具有良好的阻尼性能,且其随变形的增加刚度增大,故SMA金属橡胶阻尼减振器能有效地减轻高墩桥梁地震碰撞效应,起到限位器的作用.