激光快速成形Rene′88DT高温合金的时效强化研究

研究了时效时间对激光快速成形后时效硬化镍基高温合金Rene′88DT中沉淀相组织演化和力学性能的影响。发现随时效时间的增加，沉淀相y’略有长大，颗粒之间发生大颗粒吞噬小颗粒的粗化，时效40h后沉淀相颗粒粗化明显。对经不同时间时效后的激光快速成形Rene′88DT试样进行了硬度测试。结果显示，在时效时间为28h时，硬度有一峰值HRC49。在此基础上，采用1165℃，2h固溶、空冷＋760℃，28h时效的热处理工艺对激光快速成形标准拉伸棒样进行了热处理，拉伸结果显示成形件的抗拉强度较激光沉积态提高了400MPa，屈服强度接近同种材料的粉末锻造水平。     

防锈油膜在5% Na2SO4溶液中的半导体导电行为

采用电位—电容法及Mott-Schottky分析技术研究了自腐蚀电位条件下防锈油膜在5% Na2SO4溶液中失效过程的导电机制转变行为.防锈油膜在5% Na2SO4溶液中的失效过程存在半导体导电特征，随着浸泡时间的延长，防锈油膜从浸泡初期的p型半导体转变为n型半导体，转变过程中，防锈油膜中出现两个空间电荷过渡层.随着浸泡时间的延长，防锈油膜中的空间电荷层厚度皆逐渐减小，载流子密度则逐渐增加，并且计算了不同转变时期防锈油膜中的电子给体（ND）和电子受体（NA）密度大小.     

客运索道鞍座的设计

根据多年从事客运索道鞍座设计工作的经验 ,阐述了鞍座在客运索道中的重要性 ,总结了客运索道鞍座设计、制造和安装的工作经验及应注意的问题。     

半固态金属流变成形模具失效与选材

半固态流变成形模具的研究是半固态成形技术的一个重要组成部分，目前还没有引起足够的重视。根据半固态流变成形模具的工作原理和黑色金属流变成形的工作条件，分析指出了其主要失效形式是热疲劳、熔蚀和变形，模具材料的关键性能指标是高温疲劳强度、抗氧化性以及较低的线膨胀系数等。通过对常用模具材料优缺点的分析，得出了以下结论：目前国内外还没有真正适合黑色金属半固态流变成形的模具材料，采用复合材料和表面处理技术是提高模具寿命的有效途径。     

激光熔覆镍基粉末涂层的研究

分析了激光熔覆表面处理技术对镍基自熔性合金粉末材料性能的要求，研究了合金粉末的化学成分、微观组织及熔覆层的性能，并对涂层的耐磨性进行了分析。     

Video summarization via minimum sparse reconstruction

The rapid growth of video data demands both effective and efficient video summarization methods so that users are empowered to quickly browse and comprehend a large amount of video content. In this paper, we formulate the video summarization task with a novel minimum sparse reconstruction (MSR) problem. That is, the original video sequence can be best reconstructed with as few selected keyframes as possible. Different from the recently proposed convex relaxation based sparse dictionary selection method, our proposed method utilizes the true sparse constraint L₀ norm, instead of the relaxed constraint _L2,1$L_{2,1}$ norm, such that keyframes are directly selected as a sparse dictionary that can well reconstruct all the video frames. An on-line version is further developed owing to the real-time efficiency of the proposed MSR principle. In addition, a percentage of reconstruction (POR) criterion is proposed to intuitively guide users in obtaining a summary with an appropriate length. Experimental results on two benchmark datasets with various types of videos demonstrate that the proposed methods outperform the state of the art.     

基于TMS320C6678的多核程序加载研究与实现

针对多核D SP系统程序加载复杂的问题,基于T MS320C6678对多核程序加载进行了研究与设计。从一级引导程序出发,设计并优化了多核程序内容存储格式。设计了简洁的二级引导程序,以修正一级引导程序只识别主核程序入口地址,而从核入口地址缺失的现象。为了快速生成特定格式的多核程序内容,设计了多个工具用于添加S PI启动参数表、DDR3启动表、从核程序入口地址以及完成程序内容格式的转换。实现了S PI Flash多核程序加载以及基于I2C主模式的Nand Flash多核程序加载。     

Nonlocal variational image segmentation models on graphs using the Split Bregman

Variational functionals such as Mumford-Shah and Chan-Vese methods have a major impact on various areas of image processing. After over 10 years of investigation, they are still in widespread use today. These formulations optimize contours by evolution through gradient descent, which is known for its overdependence on initialization and the tendency to produce undesirable local minima. In this paper, we propose an image segmentation model in a variational nonlocal means framework based on a weighted graph. The advantages of this model are twofold. First, the convexity global minimum (optimum) information is taken into account to achieve better segmentation results. Second, the proposed global convex energy functionals combine nonlocal regularization and local intensity fitting terms. The nonlocal total variational regularization term based on the graph is able to preserve the detailed structure of target objects. At the same time, the modified local binary fitting term introduced in the model as the local fitting term can efficiently deal with intensity inhomogeneity in images. Finally, we apply the Split Bregman method to minimize the proposed energy functional efficiently. The proposed model has been applied to segmentation of real medical and remote sensing images. Compared with other methods, the proposed model is superior in terms of both accuracy and efficient.     

基于纹理特征与随机森林的生态声音识别

针对真实环境中普遍存在的非平稳噪声,提出一种基于纹理特征与随机森林的生态声音识别方法。该方法首先使用一种基于噪声估计的音频增强算法,即短时谱估计对输入端声音信号进行前端处理,得到增强信号功率谱;然后根据得到的增强信号功率谱图的纹理信息,采用和差统计法对其进行纹理特征提取;最后,利用基于决策树的组合分类器,即随机森林进行识别和分类。设计了两组对比实验,结果表明该方法不仅有良好的识别性能,而且具有噪声鲁棒性。