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.     

Curvature and entropy based wall boundary condition for the high order spectral volume Euler solver

A curvature and entropy based wall boundary condition is implemented in the high order spectral volume (SV) context. This method borrows ideas from the “curvature-corrected symmetry technique” developed by (Dadone A, Grossman B. Surface Boundary Conditions for Compressible Flows. AIAA J 1994; 32(2): 285–93), for a low order structured grid Euler solver. After numerically obtaining the curvature, the right state (by convention, the left state is inside the computational domain and the right state lies outside of the computational domain) face pressure values are obtained by solving a linearised system of equations. This is unlike that of the lower order finite volume and difference simulations, wherein the right state face values are trivial to obtain. The right state face density values are then obtained by enforcing entropy conservation. Accuracy studies show that simulations performed by employing the new boundary conditions deliver much more accurate results than the ones which employ traditional boundary conditions, while at the same time asymptotically reaching the desired order of accuracy. Numerical results for two-dimensional inviscid flows around the NACA0012 airfoil and over a bump with the new boundary condition showed dramatic improvements over those with the conventional approach. In all cases and orders, spurious entropy productions with the new boundary treatment are significantly reduced. In general, the numerical results are very promising and indicate that the approach has a great potential for 3D high order simulations.     

Large area forest stem volume mapping in the boreal zone using synergy of ERS-1/2 tandem coherence and MODIS vegetation continuous fields

ERS-1/2 tandem coherence was reported to have high potential for the mapping of boreal forest stem volume (e.g. Santoro et al., 2002, 2007a; Wagner et al., 2003; Askne & Santoro, 2005). Large-scale application of the data for forest stem volume mapping, however, is hindered by the variability of coherence with meteorological and environmental acquisition conditions. The traditional way of stem volume retrieval is based on the training of models, relating coherence to stem volume, with the aid of forest inventory data which is generally available for a few small test sites but not for large areas. In this paper a new approach is presented that allows model training using the MODIS Vegetation Continuous Fields canopy cover product (Hansen et al., 2003) without further need for ground data. A comparison of the new approach with the traditional regression-based and ground-data dependent model training is presented in this paper for a multi-seasonal ERS-1/2 tandem dataset covering several well known Central Siberian forest sites. As a test scenario for large-area application, the approach was applied to a multi-seasonal ERS-1/2 tandem dataset of 223 ERS-1 and ERS-2 image pairs covering Northeast China (~ 1.5 million km²) to map four stem volume classes (0-20, 20-50, 50-80, and > 80 m³/ha).     

Extracting 3D information on bone remodeling in the proximity of titanium implants in SRμCT image volumes

Bone-implant integration is measured in several ways. Traditionally and routinely, 2D histological sections of samples, containing bone and the biomaterial, are stained and analyzed using a light microscope. Such histological section provides detailed cellular information about the bone regeneration in the proximity of the implant. However, this information reflects the integration in only a very small fraction, a 10 μm thick slice, of the sample. In this study, we show that feature values quantified on 2D sections are highly dependent on the orientation and the placement of the section, suggesting that a 3D analysis of the whole sample is of importance for a more complete judgment of the bone structure in the proximity of the implant. We propose features describing the 3D data by extending the features traditionally used for 2D-analysis. We present a method for extracting these features from 3D image data and we measure them on five 3D SRμCT image volumes.We also simulate cuts through the image volume positioned at all possible section positions. These simulations show that the measurement variations due to the orientation of the section around the center line of the implant are about 30%.     

基于GPRS的风力发电机远程监控系统设计

为了克服目前风力发电机使用过程中人工检修和维护效率低、成本高、服务不及时的现状,设计了以C2000系列DSP-TMS320F2812(简称F2812)为核心处理器,以华为公司生产的GTM900-C无线模块为远程传输媒介的风力发电机远程监测分析系统.该系统利用F2812丰富的外设模块构建了系统的硬件并与GPRS技术相结合,成功研制了基于GPRS的风力发电机远程监控分析系统.该系统可实现风力发电机参数的远程无线监控分析.测试表明本系统能够实现长时间在线监测,并能正确地识别出故障.     

控制FAST馈源的宏-微机器人系统

本文介绍了大射电望远镜FAST光机电一体化设计方案,给出了由贵州KARST地貌的地理位置 得到的线馈源扫描运动轨迹,对六悬索并联索系结构和Stewart平台组成的并联宏 微机器 人系统进行了运动学描述和分析．     

大型过程建模的Import/Export解决方案

文章分析了大型复杂过程的建模需求,基于已研发的企事业过程建模系统EPMS,提出了将Import／Export技术用于大型过程建模的解决方案,通过过程模型的拆分和组装,从而支持过程模型的多人员、异地并行建模模式和过程重用。     

三维超音进气道系统流场计算的区域分裂算法

51．引言对于现代战斗机和飞航导弹来说,进气道的气流品质对推进系统的性能有很大的影响．进气道的气流品质不仅依赖于进气道的形状,也依赖于飞行器的前部外型和进气道的安装位置．因此,必须对前机（弹）身外流场和进气道内流场统一求解,以适应一体化设计之要求．然而统一求解三推进气道内外流场组合系统有许多困难．首先是难以生成单一的计算网格系统,其次是在很大程度上受计算机内存和运算速度的限制．统一的网格系统必然需要很大的内存．另外,由于进气道内外流场相互干扰十分强烈,在某些来流条件下,一般的统一网格极难得到收敛解…     

MiroSot大场地足球机器人系统的软件体系结构研究

为提高MiroSot大场地（11vs11）足球机器人系统的实时性,在分析集控式足球机器人系统的原理以及大场地项目特点的基础上,建立了大场地足球机器人系统的客户机／服务器（C／S）模式体系结构。该体系结构通过采用内核同步机制、消息映射等多线程技术和基于Socket的网络通讯技术实现了双摄像头的采集结构和客服模式的双机通信。其次,提出多级缓冲区的数据管理方式,保证了系统处理数据以及客户机与服务器之间传递数据的实时性和一致性。     

DelosDLMS

DelosDLMS is a novel digital library management system (DLMS) that has been developed as an integration effort within the DELOS Network of Excellence, a European Commission initiative funded under its fifth and sixth framework programs. In this paper, we describe DelosDLMS that takes into account the recommendations of several activities that were initiated by DELOS including the DELOS vision for digital libraries (DLs). A key aspect of DelosDLMS is its novel generic infrastructure that allows the generation of digital library systems out of a set of basic system services and DL services in a modular and extensible way. DL services like feature extraction, visualization, intelligent browsing, media-type-specific indexing, support for multilinguality, relevance feedback and many others can easily be incorporated or replaced. A further key aspect of DelosDLMS is its robustness against failures and its scalability for large collections and many parallel user requests. We discuss the current status of an effort to build DelosDLMS, a Digital Library Management System that integrates in various ways several components developed by DELOS members and showcases a great variety of functionality that is outlined as part of the DELOS vision.