Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model

To improve the accuracy of retinal vessel segmentation, a retinal vessel segmentation algorithm for color fundus images based on back-propagation (BP) neural network is proposed according to the characteristics of retinal blood vessels. Four kinds of green channel image enhancement results of adaptive histogram equalization, morphological processing, Gaussian matched filtering, and Hessian matrix filtering are used to form feature vectors. The BP neural network is input to segment blood vessels. Experiments on the color fundus image libraries DRIVE and STARE show that this algorithm can obtain complete retinal blood vessel segmentation as well as connected vessel stems and terminals. When segmenting most small blood vessels, the average accuracy on the DRIVE library reaches 0.9477, and the average accuracy on the STARE library reaches 0.9498, which has a good segmentation effect. Through verification, the algorithm is feasible and effective for blood vessel segmentation of color fundus images and can detect more capillaries.

     

Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information

Neural Computing and Applications - RNA-binding proteins play an important role in the biological process. However, the traditional experiment technology to predict RNA-binding residues is...     

基于Ethernet网络化测试系统的组建

随着现代测试技术、网络技术和计算机技术的发展,测试系统的体系结构和运行管理发生了根本性的变化,通过Ethernet技术对测试进行管理已经成为测试技术发展的趋势。对网络化测试的整体结构进行了详细分析,并给出了基于WinPcap技术进行网络通信层开发的关键技术,最后对测试服务器的功能进行了介绍。结果表明,该系统性能良好,工作稳定。为网络化测试系统的实现提供了一种解决方案,具有一定的实用性和推广价值。     

AFDX网络协议研究

介绍了AFDX网络的产生背景及发展历程;解析了ARINC664规范各个部分的功能及与开放式系统参考模型的关系;总结了AFDX网络相对于商用以太网的特点和AFDX网络与机载系统的关系,通过对AFDX在A380等飞机上的应用研究,归纳了基于AFDX网络的航空电子系统的特点;AFDX网络已成功应用于工程实践,该网络具有完整的协议结构,具有高实时性、高确定性和高可靠性的特点,是一种新型的机载网络总线。     

清洗机器人自主清洗方法研究

为提高清洗机器人运行的自主性,提出了针对具有六自由度清洗机器人的自主清洗方法;首先给出了清洗机器人的机械及电气结构,建立了机器人的运动学模型,分析了机器人的运动学及逆运动学问题,实时计算出污物的位置;在此基础上,为实现机器人的自主清洗,接着设计了机器人的控制系统结构,采用了RBF模糊神经网络对机器人进行智能控制;最后通过实验表明所提出的方法能满足清洗机器人精确定位到任意目标位置的要求,其动态性能和稳定性都达到了清洗要求。     

基于TimeMark技术的网络级数据容灾设计与实施

建立存储虚拟化的网络级容灾系统,要注意数据的不一致或不完整的问题,因为由此可能导致系统无法启动或恢复。利用TimeMark技术建立容灾系统,存储设备可以为数据副本生成多个快照,记录数据副本在不同时刻的状态,可以有效地避免渐变式灾难带来的数据损坏,从而保障数据一致性和可用性。     

Detection of heterogeneous samples based on loaded generalized inner product method

Non-homogeneity detector (NHD) is known for improving the detection performance of space time adaptive processing (STAP) in heterogeneous environment. To mitigate the finite sample effect in the generalized inner product (GIP) based NHD, a new type of GIP detector based on diagonal loading (LGIP) is proposed in this paper. We derive the theoretical mean value of LGIP detector based on random matrix theory. Moreover, an approximation of the theoretical mean value is provided for practical considerations. We then apply the derived theoretical mean value of LGIP to the detection of heterogeneous samples. Finally, by theoretical analysis and numerical simulations, we show the effectiveness of the proposed detector.     

电子警务中三维全景技术应用研究

随着信息技术的飞速发展,三维全景技术已成为电子警务中重要的组成部分。本文通过对三维全景技术特点和发展状况的介绍,提出了一套三维全景地理信息系统的应用框架,探讨了三维全景技术应用中的关键技术,并结合电子警务建设实际,详细介绍了三维全景技术在电子警务中的具体应用。可以预测,随着三维全景技术和物联网技术、云计算的集成,未来三维全景技术将成为电子警务的主流技术。     

Thermal conductivity of a Kondo superconductor in the gapless state

The thermal conductivity coefficient for a Kondo superconductor in the gapless state is obtained within the framework of the Matsuura, Ichinose, and Nagaoka theory. By expanding the heat current correlation function appearing in the Kubo formula for the thermal conductivity in powers of the order parameter, analytical expressions for the thermal conductivity to second power in the order parameter are obtained. The thermal conductivities for bothT _KT _c 0 andT _KT _c 0 superconductors are obtained.     

Decomposition of solid explosives by laser irradiation: A mass spectrometric study

Experimental investigations have been made in which single crystals of solid explosives such as cyclotrimethylene trinitramine, RDX, pentaerythritol tetranitrate, PETN, AgN₃ and Pb(N₃)₂, were irradiated with a focused laser beam of wavelength 266 nm and duration 5 nsec in an ultra high vacuum system housing a fast and sensitive time-of-flight mass spectrometer. From the mass spectra (both +ve and -ve ions) of the chemical species obtained, possible decomposition schemes of RDX and PETN have been proposed. For silver and lead azides, the laser irradiation did not cause explosions if the power density was sufficiently low, but micrometre size craters were formed. In the mass spectra of AgN₃ products N₃ ^– and silver cluster ions, Ag _n ⁺, have been found for the first time. It has been suggested that such investigations may possibly throw some light on our understanding of the reactions taking place in a deflagration/detonation wave.