高效的多模式匹配算法

本文提出一种新的多模式匹配算法,以提高匹配检测的执行速度和效率。该算法采用了基于集合的多模式匹配思想,重新构造了HASH函数以便在处理大规模模式集时执行时间能比传统的匹配算法的执行时间要少。经过实验证明,运用该算法不仅具有时间复杂度较低的优点,且与传统算法相比具有更为优越的性能,同时在实际工作状态下的检测能力也更强大。     

基于改进SKIP算法的HL7消息校验方法

在医疗信息交换中,HL7消息校验是HL7消息正确性、完整性、合法性的基础,高效的HL7消息校验方法是交换系统性能与可靠性的重要保证。本文通过引入q-grams机制与贪婪跳跃机制对Skip算法进行改进,提出了HGQSkip字符串匹配算法,并实现了基于HGQSkip算法的HL7消息校验方法,以提升HL7消息交换系统的交换性能。实验表明,HGQSkip算法有较高的实际匹配性能,在多种匹配情况下性能高于已知算法,可有效提高HL7消息的校验性能,达到提升医疗信息系统整体集成性能、增强消息交换可靠性的目的。     

网络流量分类研究进展综述及未来发展

文章对现有的网络流量分类方法进行了分析和总结,比较了基于模式匹配和基于机器学习的两大网络流量分类方法的优缺点,并在此基础上提炼出基于机器学习方法的流量分类框架,指出当前网络流量分类方法亟待解决的问题与五大研究方向,为网络流量分类的相关研究提供了参考。     

对Horspool算法的改进

文章分析BM及其改进的Horspool和Sunday算法,在此基础上提出了Horspool的改进算法。该算法利用当前窗口的下一个字符信息以及当前窗口最后一个字符和文本字符不匹配这个事实,增大右移量,减少了匹配次数。实验结果表明,该算法比原有算法具有更高的效率。     

内控型还是参与型人力资源管理系统——基于权变匹配视角的案例对比研究

本文采用案例研究方法,基于第三方物流(3PL)行业的不同业务模式,尝试从权变匹配视角探索顺丰速运和联邦快递如何在复杂的内外部环境中制定不同的人力资源策略,以支撑不同业务模式,与内外部环境相匹配。研究发现:(1)不同业务模式引发不同的人力资源管理系统垂直"匹配",内控型人力资源管理系统与功能主导型业务模式匹配,而参与型人力资源管理系统与供应链一体化业务模式匹配;(2)不同人力资源管理系统进行内部水平匹配;(3)外部环境复杂程度高、内部环境复杂程度低,采用内控型人力资源管理与之匹配,而外部环境复杂程度低、内部环境复杂程度高,采用参与型人力资源管理与之匹配。     

模糊识别在工程造价估算中的应用

探讨了模糊识别在工程造价估算中的应用,重点就模式库的建立和模式匹配与估算,建立了相应的模糊聚类、模糊贴近度、指数平滑等应用模型,并通过实例对模糊识别的过程进行了计算说明。     

基于特征点图像配准方法的应用研究

针对常用的图像配准技术配准精度不高的问题,本文首先采用RANSAC算法剔除SURF算法初匹配中的误匹配对,再在初次提纯的匹配对中进行欧氏距离排序,提取距离最小的有限匹配对作为最终的匹配结果。通过实验表明该方法配准精度高,效果好,为后续图像的融合拼接打下良好的基础。     

异步多传感器数据融合算法分析

多传感器系统中各传感器工作是异步的,本文从同步融合算法入手,推导出一种优化的异步融合算法。在该异步融合算法基础上对多部雷达异步仿真数据进行融合,证实了该异步融合算法的可行性。     

基于文本的网络图像信息搜索技术

介绍了基于文本的网络图像搜索技术的搜索原理、对图像与文本的关联特性和文本匹配技术进行了分析,指出了基于文本的网络图像搜索技术缺陷和发展趋势。     

基于SSE指令集的运动目标模板匹配算法设计

本文针对序列图像中运动目标识别的广泛需求,分析了模板匹配算法的实现过程及特点,研究、设计了一种基于SSE指令集的运动目标模板匹配算法。该算法利用SSE4指令集实现多位数据并行计算,显著提高了模板匹配算法的处理速度。实验结果表明,该算法对于序列图像中的运动目标识别具有速度快、识别精度高的特点,具有一定的应用价值。     

基于指派模型的人岗匹配问题研究

人岗匹配是人力资源管理的一个核心问题,受到人们越来越多的关注。运用运筹学知识,结合人岗匹配过程中出现的各种实际情况,根据效益最大化(或成本最小化)的原则建立了人岗匹配的数学模型;并在此基础上,综合考虑员工绩效、成本、时间等多种指标,构建了人岗匹配多指标综合指派模型。最后,通过应用实例验证了该模型的有效性。     

IPO performance of portfolio ventures funded by impact investors versus venture capital investors

With the global rise of impact investments to achieve societal goals, an increasing number of new ventures that aim to create societal impact now seek to go public. However, while many conceptual studies suggest that impact investors are less likely to pursue financially oriented exit plans in exchange for generating societal impact, there is little empirical evidence to back up this claim. Using a propensity score matching approach, we draw on data from Crunchbase and empirically compare the initial public offering (IPO) performance of a large sample of 3398 investments by impact investors with 3398 investments by matched venture capital (VC) investors. We find that impact investor investments are less likely to lead to an IPO than VC investments. Besides, our results indicate that syndication by impact investors increases the likelihood of an IPO. This suggests that companies funded by impact investors benefit more from syndication than their VC-funded counterparts. Our findings have practical implications for impact investors, portfolio ventures, and policymakers.     

A modified deferred acceptance algorithm for many-to-one matching markets with externalities among firms

We consider a many-to-one matching market with externalities among firms where each firm’s preferences satisfy substitutability, increasing choice and no external effect by unchosen workers, which are defined by  Bando (2012). We first illustrate that a sequential version of the deferred acceptance (DA) algorithm with worker-proposing may not find a worker-optimal quasi stable matching. Then, we provide a modified DA algorithm in which (i) each worker simultaneously proposes to his most preferred firm that has not rejected him and (ii) each firm chooses its acceptable workers from the cumulative set of workers who have ever proposed to it, assuming that the other workers proposing to its rival firms are hired. We show that this algorithm finds a worker-optimal quasi stable matching. We also show that this algorithm can be generalized into a fixed point algorithm.     

低空无人机遥感影像高精度自动匹配方法研究

本文针对低空无人机遥感影像的特点,提出一种基于Harris角点和SIFT特征的自动匹配算法,并利用基于单应矩阵和核线几何双重约束的RANSAC相对定向剔除错误匹配。通过一组影像的自动匹配试验,结果具有较高的匹配正确率,验证了算法的有效性,可为区域网平差解算提供良好基础。     

基于Harris和SIFT的特征匹配算法

为了克服传统的局部特征匹配算法对图像的尺寸和旋转比较敏感的缺点,文章提出了一种基于Harris和SIFT的特征匹配算法。该算法首先进行Harris角点提取,利用圆的旋转不变性和多维向量来构造SIFT特征描述子,然后利用极线约束降低对匹配点的搜索空间,最后度量特征描述子之间的欧氏距离,运用双向匹配技术得到最终的匹配结果。实验结果表明,该算法能提高匹配精度,减少匹配时间。     

具有自动撮合与视频通信的高校就业网站设计

文章针对传统就业网站功能单一、服务起点低、没有充分发挥网络交互通信作用的弊端,提出了一个具有撮合算法和视频通信功能的新型招应聘网络平台的设计,文章介绍了系统的结构、基于模糊向量的撮合算法以及基于对等通信模型的视频功能实现,对同类研究和设计有一定参考作用。     

Changes in hospital efficiency and size: An integrated propensity score matching with data envelopment analysis

Turkey has made huge investments in city hospitals. The distinguishing feature of these hospitals is that they are physically large. Although many studies have investigated the efficiency of public hospitals, there are a few studies on the effect of hospital size on efficiency. This study examines the effect of hospital size on changes in public hospital efficiencies. The analysis is made up of three steps. First, using a bootstrap data envelopment analysis (DEA), the pure efficiency scores of each hospital were calculated. Second, propensity score matching (PSM) was used to ensure that any differences could be attributed to a particular class of hospital size, and not be due to differences in sample characteristics between the intervention and control groups. To highlight a potential time difference between small and large hospitals, the efficiencies of hospitals were examined from 2014 to 2017. Third, the Mann–Whitney U test was used to conduct a robustness check of the DEA and PSM results. Fourth, logistic regression was used on balanced data to examine the determinants of the efficiency of public hospitals. There are remarkable differences in the results obtained before and after matching the groups based on the bed-occupancy rate. Additionally, urban location is a key predictor of efficient and inefficient hospitals. This study also highlights that integrating DEA and PSM is a useful strategy in accurately identifying predictors of efficiencies of hospitals by creating balanced groups. Health policymakers should consider the efficiency advantages of high workload and service burden in the planning of public hospitals.     

车辆全景成像探测的快速目标拼接算法

全景成像技术以及图像拼接、图像配准等与其相关的技术,都属于机器视觉及模式识别领域。由于其成像系统视场较大,且无论远近都可以清晰成像,因此,全景成像技术具有广阔的应用前景,例如,在军事领域中的侦察、空间探索等,民用领域中的医疗设备、防盗预警、机器人视觉等等。正是由于上述原因对全景成像技术,具有很高的研究和实践价值。本文对全景成像技术的研究主要有以下四个方面:第一,深入研究了全景成像的获取方式,在此基础上分析其获取方式的优缺点;第二,实现了图像的预处理,即完成了对获取图像进行了校正和去噪,通过对不同的图像采用滤波算法实现;第三,在图像拼接方面,实现了基于比较匹配的图像拼接算法,通过采取平行景物线匹配算法消除了灰度差异的影响,对拍摄同一景深下的图片进行拼接;第四,在不同景深条件下,对图像进行拼接,并完成了基于Harris特征点检测算子的特征提取算法。     

Online doctor-patient dynamic stable matching model based on regret theory under incomplete information

With the development of the Internet era, online medical community is increasingly favored by patients and health care workers. How to make a reasonable doctor-patient matching and meet patients' relevant needs through online medical platform is the key to realizing effective allocation of medical resources. This paper proposes an online doctor-patient dynamic stable matching model to deeply investigate the online doctor-patient matching problem under incomplete information. Firstly, we assign the score to each doctor based on the patient's attribute expectations and the doctor's evaluation information. Considering the difficulty of obtaining complete information in real life and different attribute representations, we propose incomplete information filling methods based on collaborative filtering algorithm. To make the filling result more reasonable, we introduce probabilistic linguistic information entropy to process the incomplete information. Secondly, considering psychological behavior, we use regret theory to calculate patients' satisfaction with doctors. Finally, with the definitions of rational matching and stable matching, we propose a doctor-patient dynamic stable matching model. This model can solve the problems like a temporary appointment and private matching and ensure the stability of matching. In addition, the model proposed in this paper considers not only patients' but also the doctors' needs. The case of online doctor-patient matching is based on “haodf.com”, and through comparative analysis can prove the effectiveness and superiority of this method.