Stereo matching cost computation based on nonsubsampled contourlet transform

A new matching cost computation method based on nonsubsampled contourlet transform (NSCT) for stereo image matching is proposed in this paper. Firstly, stereo image is decomposed into high frequency sub-band images at different scales and along different directions by NSCT. Secondly, by utilizing coefficients in high frequency domain and grayscales in RGB color space, the computation model of weighted matching cost between two pixels is designed based on the gestalt laws. Lastly, two types of experiments are carried out with standard stereopairs in the Middlebury benchmark. One of the experiments is to confirm optimum values of NSCT scale and direction parameters, and the other is to compare proposed matching cost with nine known matching costs. Experimental results show that the optimum values of scale and direction parameters are respectively 2 and 3, and the matching accuracy of the proposed matching cost is twice higher than that of traditional NCC cost.     

精细注水配套工艺技术优化研究

本文通过对注水配套工艺的优化研究,有效提高奈曼油田分注率和配注合格率,提高精细注水开发效果。     

高程点与高程注记的匹配及其应用

在基于AutoCAD的地形图中,提出解决高程点与高程注记匹配方法,并利用高程注记作为高程点的属性的方法实现高程点与高程注记的组合,以及在高程处理中的一些应用.     

欧姆龙NJ控制器在二次电池包封配组机上的应用

本文介绍了欧姆龙NJ控制器在二次电池包封配组机上的应用，针对二次电池包封配组机在实际应用中的三个难点，提出了行之有效的解决办法并得到客户高度认可。     

Z170静音箱式发电机组风冷散热器的设计与匹配

本文对Z170静音箱式燃气发电机组用风冷散热器设计匹配过程中，主要的影响因素、设计计算及注意的事项进行了分析，并结合试验验证所用的设计参数、储备系数的准确性。     

On parallel push–relabel based algorithms for bipartite maximum matching

We study multithreaded push–relabel based algorithms for computing maximum cardinality matching in bipartite graphs. Matching is a fundamental combinatorial problem with applications in a wide variety of problems in science and engineering. We are motivated by its use in the context of sparse linear solvers for computing the maximum transversal of a matrix. Other applications can be found in many fields such as bioinformatics (Azad et al., 2010) [4], scheduling (Timmer and Jess, 1995) [27], and chemical structure analysis (John, 1995) [14]. We implement and test our algorithms on several multi-socket multicore systems and compare their performance to state-of-the-art augmenting path-based serial and parallel algorithms using a test set comprised of a wide range of real-world instances.     

Passive detection of accelerometer-recorded fetal movements using a time–frequency signal processing approach

This paper describes a multi-sensor fetal movement (FetMov) detection system based on a time–frequency (TF) signal processing approach. Fetal motor activity is clinically useful as a core aspect of fetal screening for well-being to reduce the current high incidence of fetal deaths in the world. FetMov are present in early gestation but become more complex and sustained as the fetus progresses through gestation. A decrease in FetMov is an important element to consider for the detection of fetal compromise. Current methods of FetMov detection include maternal perception, which is known to be inaccurate, and ultrasound imaging which is intrusive and costly. An alternative passive method for the detection of FetMov uses solid-state accelerometers, which are safe and inexpensive. This paper describes a digital signal processing (DSP) based experimental approach to the detection of FetMov from recorded accelerometer signals. The paper provides an overview of the significant measurement and signal processing challenges, followed by an approach that uses quadratic time–frequency distributions (TFDs) to appropriately deal with the non-stationary nature of the signals. The paper then describes a proof-of-concept with a solution consisting of a detection method that includes (1) a new experimental set-up, (2) an improved data acquisition procedure, and (3) a TF approach for the detection of FetMov including TF matching pursuit (TFMP) decomposition and TF matched filter (TFMF) based on high-resolution quadratic TFDs. Detailed suggestions for further refinement are provided with preliminary results to establish feasibility, and considerations for application to clinical practice are reviewed.     

基于负载敏感回路的起竖液压系统仿真

介绍负载敏感技术在发射车起竖液压系统中的应用,通过AMESim搭建负载敏感泵、平衡阀、多路阀以及多级液压缸等核心元件的仿真模型并进行系统仿真,提出采用多联多路阀控制多级液压缸的匹配组合方式,以适应起竖及回收过程中多级液压缸的面积比变化,解决了大面积比回收时回油路过度节流、系统憋压的问题.     

基于稀疏分解的多分量线性调频信号参数估计∗

本文提出了一种多分量线性调频信号的参数估计方法。基于过完备Gabor字典的Matching Pursuit算法,可以将信号表示为Gabor原子的线性组合。这些原子有效的揭示了信号的内在时频结构特征,是信号的一种稀疏表示。本文直接利用分解得到的稀疏信息对信号中调频分量的调频率、初始频率和结束频率进行估计。仿真结果显示,该方法适用于存在强有意干扰或者有色噪声的环境。