Scheduling Rate-Constrained Flows with Dynamic Programming Priority in Time-Triggered Ethernet

Time-triggered (TT), Rate-constrained (RC) and Best-eff ort (BE) traffics are included in Time-triggered ethernet (TTEthernet). For RC messages trans-mission is aff ected by TT messages, traditional schedul-ing policy cannot be well applied in TTEthernet. Dynamic programming priority (DPP) algorithm combines priority policy and dynamic programming algorithm for scheduling RC flows. The time slice for RC flows transmission is got by SMT solver YICES; RC flows are classified to different groups according to the priorities; Higher priority pack-ets in one time slice are scheduled using First input first output (FIFO) policy and lower priority packets are sched-uled by Dynamic programming policy. DPP policy guaran-tees different real-time requirements of heterogeneous RC flows, and make the best of time slice resource in aviation industries. The upper bound End-End of three methods and algorithm feasibility is analyzed. Simulation in avia-tion shows that DPP policy can obtain better real-time performance than other scheduling algorithms.     

Fuzzy local Gaussian mixture model for brain MR image segmentation

Accurate brain tissue segmentation from magnetic resonance (MR) images is an essential step in quantitative brain image analysis. However, due to the existence of noise and intensity inhomogeneity in brain MR images, many segmentation algorithms suffer from limited accuracy. In this paper, we assume that the local image data within each voxel's neighborhood satisfy the Gaussian mixture model (GMM), and thus propose the fuzzy local GMM (FLGMM) algorithm for automated brain MR image segmentation. This algorithm estimates the segmentation result that maximizes the posterior probability by minimizing an objective energy function, in which a truncated Gaussian kernel function is used to impose the spatial constraint and fuzzy memberships are employed to balance the contribution of each GMM. We compared our algorithm to state-of-the-art segmentation approaches in both synthetic and clinical data. Our results show that the proposed algorithm can largely overcome the difficulties raised by noise, low contrast, and bias field, and substantially improve the accuracy of brain MR image segmentation.     

信息可视化技术在图书馆公共检索系统中的应用

文章详细论述了信息可视化的概念、原理和基本特征,分析了信息可视化应用于图书馆联机公共目录的可行性及实施意义,为信息可视化在图书馆公共检索系统的应用提供了理论基础和现实依据。     

基于支持向量回归的立体图像客观质量评价模型

立体图像质量评价是评价立体视频系统性能的有效途径,而如何利用人类视觉特性对立体图像质量进行有效评价是目前的研究难点。该文根据图像奇异值有较强稳定性的特点,结合立体图像的主观视觉特性,提出了一种基于支持向量回归(Support Vector Regression, SVR)的立体图像客观质量评价模型。该模型通过分析立体图像的视觉特性,提取左右图像的奇异值作为立体图像的特征信息,然后根据立体图像的不同失真类型情况对其特征进行融合,通过SVR预测得到立体图像质量的客观评价值。实验结果表明,采用该文提出的客观评价模型对立体数据测试库进行评价,Pearson线性相关系数值在0.93以上,Spearman等级相关系数值在0.94以上,均方根误差值接近6,异常值比率值为0.00%,符合人眼视觉特性,能够很好地预测人眼对立体图像的主观感知。     

基于TMS320VC5509与AD7322的数据采集系统的设计

为了提高数据采集系统的采样速度、转换精度、降低系统功耗,设计了一种采用TI公司的C5000系列定点DSP芯片TMS320VC5509和ADI Device公司的2通道的、软件可选的、双极性输入的、最高转换速率是1MSpS、12位的带符号的逐次逼近型串行AD7322的数据采集系统,并阐述了该系统的主要硬件电路的搭建原理、连接方法以及采集过程。该系统的前端数据采集单元采用2160像元的TCD1206SUP线阵CCD作为图像传感器,CCD输出的视频信号经过一个二阶有源低通滤波电路进行滤波后,被高速串行A/D转换器AD7322采集并转换成数字信号,然后将数字信号送进DSP。通过测试表明,该系统设计方案合理,达到了设计目的和要求。     

基于自适应增量调制的语音延时电路设计

传统的脉冲编码调制需要较长的码,其实现结构复杂。文中介绍了增量调制(DM)的原理,说明了它的优缺点,引入了对它改进后的调制方式——自适应增量调制(ADM)。自适应增量调制不仅集成了DM调制实现结构简单的特点,而且大大降低了DM调制中的量化噪声和斜率过载噪声,性能更为优良。根据ADM的原理,设计了采用自适应增量调制原理的语音延时电路,通过流片验证了其优异的性能,实测延时后的噪声电压为-88dBV,总谐波噪声+失真<0.5%。     

Near white light emission from GaN based light emitting diode with GaN/AlGaN distributed Bragg reflector

A near white GaN-based multiple quantum well (MQW) light emitting diode (LED) was grown by metal–organic chemical vapor deposition on top of a 20-period GaN/Al_zGa_1?zN distributed Bragg reflector (DBR). Photoluminescence, electroluminescence and high resolution X-ray diffraction were performed to analyze the sample characteristics. The results show that the introduction of the DBR increases the ratio of the green to blue light intensities. Near white light emission with commission international de l’Eclairage color coordinates x=0.18, y=0.28 was achieved at injection current 20 mA for the sample with DBR.     

Evaluation of post-fault restoration strategies in multi-domain networks

Although multi-domain survivability is a major concern for operators, few studies have considered the design of post-fault restoration schemes. This paper proposes two such strategies, based upon hierarchical routing and signaling crankback, to handle single and multi-link failure events in multi-domain IP/MPLS networks (also extendible to optical DWDM networks). Specifically, the hierarchical routing strategy relies upon abstracted domain information to compute inter-domain loose routes, whereas the crankback scheme applies signaling re-tries to restore paths in a domain-by-domain manner. The performance of these proposed solutions is then analyzed and compared via simulation.     

基于双字典学习的眼底图像血管分割

为辅助诊断眼底疾病和部分心血管疾病,本文提 出一种基于双字典学习和多尺度线状结构检测的眼底图 像血管分割方法。首先在HSV颜色空间利用伽马矫正均衡眼底图像的亮度,并在Lab颜色空间 采用CLAHE 算法提升图像对比度,再采用多尺度线状结构检测算法突出血管结构得到增强后的特征图像 ;然后利用 K-SVD算法训练特征图像块和对应的手绘血管标签图像块,得到表示字典和分割字典,采用 表示字典得到 新输入特征图像块的重构稀疏系数,由该系数和分割字典获得血管图像块;最后进行图像块 拼接、噪声去 除和空洞填充等后处理得到最终分割结果。在DRIVE和HRF数据库测试,利用准确率、特异度 、敏感度 等八种评估指标来检验分割性能。其中,平均准确率分别达0.958和0.951,平均特异度分别 达到0.982 和0.967,平均敏感度分别达到0.709和0.762,表明该 方法具有较好的分割性能和通用性。     

基于时频分布技术的雷达信号分析

分别介绍了短时傅里叶变换、小波变换、时频分布理论和信号的参数化表示等现代信号处理技术的实现原理,分析了不同理论方法的应用特点和不足,同时提供了典型雷达信号分析实例。通过对比实验,分析了信号时频分布与参数化表示方法对多分量信号处理的各自优点和局限性。