Cellular analysis by open-source software for affordable cytometry

Image cytometry is an important technique in affordable healthcare and cellular research. Some efforts toward establishing a personal, low-cost cytometer have been described in the literature. However, a self-assembled fluorescence microscope requires software for cytometric analysis. There are some open-source image-based software analysis applications available. However, for a quantitative analysis of images, software that can generate data comparable to those of previously evaluated cytometric analyses programs is required. Hence, the aim of this study is to compare results of a commercially available image cytometry program to data obtained using the open-source software CellProfiler (CP). Leukocytes and fluorescent bead images obtained using a Laser Scanning Cytometer were analyzed by CP and the results compared with those of conventional cytometric analyses' programs. Algorithms were developed enabling the analysis of leukocytes and beads by CP. CP provided similar results to those obtained by the cytometer software. Hallmark parameters, including cell count and fluorescence intensity, revealed a high correlation in the analysis of both programs. Therefore, CP is appropriate for cellular analysis on a self-assembled microscope, thereby enabling affordable cytometry.     

低带宽全搜索VBSME结构的优化设计

为支持H.264/AVC可变块运动估计(VBSME)要求,提出一个高性能的二维脉动阵列结构,该结构具有数据重传次数少,存储器带宽要求低的特性.对结构中存在大量延迟寄存器开销的问题,用基于数据流的AON网络模型对阵列结构的计算依赖关系进行分析,并使用动态规划算法,得到了优化的结构设计.     

Finding the number of clusters in ordered dissimilarities

As humans, we have innate faculties that allow us to efficiently segment groups of objects. Computers, to some degree, can be programmed with similar categorical capabilities, which stem from exploratory data analysis. Out of the various subsets of data reasoning, clustering provides insight into the structure and relationships of input samples situated in a number of distributions. To determine these relationships, many clustering methods rely on one or more human inputs; the most important being the number of distributions, c, to seek. This work investigates a technique for estimating the number of clusters from a general type of data called relational data. Several numerical examples are presented to illustrate the effectiveness of the proposed method.     

RTDMiner: 基于数据挖掘的引用计数更新缺陷检测方法

在Linux内核等大型底层系统中广泛采用引用计数来管理共享资源.引用计数需要与引用资源的对象个数保持一致,否则可能导致不恰当引用计数更新缺陷,使得资源永远无法释放或者被提前释放.为检测不恰当引用计数更新缺陷,现有静态检测方法通常需要知道哪些函数增加引用计数,哪些函数减少引用计数.而手动获取这些关于引用计数的先验知识过于费时且可能有遗漏.基于挖掘的缺陷检测方法虽然可以减少对先验知识的依赖,但难以有效检测像不恰当引用计数更新缺陷这类路径敏感的缺陷.为此,提出一个将数据挖掘技术和静态分析技术深度融合的不恰当引用计数更新缺陷检测方法 RTDMiner.首先,根据引用计数的通用规律,利用数据挖掘技术从大规模代码中自动识别增加或减少引用计数的函数.然后,采用路径敏感的静态分析方法检测增加了引用计数但没有减少引用计数的缺陷路径.为了降低误报,在检测阶段再次利用数据挖掘技术来识别例外模式.在Linux内核上的实验结果表明,所提方法能够以将近90%的准确率自动识别增加或减少引用计数的函数.而且RTDMiner检测到的排行靠前的50个疑似缺陷中已经有24个被内核维护人员确认为真实缺陷.     

基于原子构件的站点计数设计

站点计数是Web应用程序中一个最基本的功能,通过计数数据可以得知网站的受欢迎程度。构件是通过类代码来实现,设计的基本思路是：从存储站点计数数据的文件中读取数据,计数值增1,然后将数据写于文件。实际应用中,只要在需要计数的页面中加入一段代码就可以实现计数。     

基于计算机视觉和图像处理的交通参数检测

本文提出了一种基于计算机视觉和图像处理的车流量检测方法,通过分析CCD TV 摄 像机获取的图像中车辆和场景信息来有效地检测交通参数．本方法可以完成双向四车道高速 公路和城市道路的车辆计数和车辆速度检测．实验结果表明：车辆计数的正确率为94％,车 辆速度检测的正确率达92%,并具有满意的实时特性．     

利率随机时的跳跃扩散过程的期权定价模型

假定股票价格的跳过程为一般的计数过程,建立了股票价格服从跳扩散过程的行为模型。运用随机分析中的鞅方法,讨论了当利率为随机变量时的期权定价问题,推导出了利率随机时欧式买权与卖权的定价公式以及平价关系,推广了已有的结果。     

低能X射线吸收法测量泡沫材料密度

文章介绍为适应惯性约束聚变(ICF)靶材料研究而发展的一种密度测量方法。通过测量X射线经靶材料吸收前后的强度变化,可较为精确地计算出待测样品的密度。用于泡沫材料密度测量的X射线源是特制的激发源。     

Iterative ultrasonic signal and image deconvolution for estimation of the complex medium response

The ill‐conditioned inverse problem of estimating ultrasonic medium responses by deconvolution of RF signals is investigated. The primary difference between the proposed method and others is that the medium response function is assumed to be complex‐valued rather than restricted to being real‐valued. Derived from the complex medium model, complex Wiener filtering is presented, and a Hilbert transform related limitation to inverse filtering type methods is discussed. We introduce a nonparametric iterative algorithm, the least squares method with point count regularization (LSPC). The algorithm is successfully applied to simulated and experimental data and demonstrates the capability of recovering both the real and imaginary parts of the medium response. The simulation results indicate that the LSPC method can outperform Wiener filters and improve the resolution of the ultrasound system by factors as high as 3.7. Experimental results using a single element transducer and a conventional medical ultrasound system with a linear array transducer show that despite the errors in pulse estimation and the noise in the RF signals, excellent results can be obtained, demonstrating the stability and robustness of the algorithm. © 2006 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 15, 266–277, 2005     

基于VC的棒材自动计数方法的研究与应用

本文提出了一种利用图像技术实现棒材的自动计数的方法，该方法以Visual C 6.0为开发平台，实现了对棒材端面图像分割，然后对分割得到的二值图像实施形态学运算，使粘连部分彼此分离，最后通过8－邻域标注计数。