Pre-bainitic Transformation in Fe-Ni Alloy

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一种嵌入式软件的组合测试指标获取方案

为了获取组合测试中适应值函数所需要覆盖率、测试运行代价等信息,设计实现了基于嵌入式软件源代码插桩的指标获取方案。该方案使用交叉开发环境,完成了对源代码语法、词法分析,插桩库和插桩策略的制定,目标机／宿主机通讯方式设计,获得了语句覆盖率、分支覆盖率、运行时间、被测程序程序复杂度等关键指标,并以图表的方式提供统计结果,为组合测试设计适应值函数,进行测试用例约减提供了依据。     

智能家居远程视频监控系统的设计与实现

针对传统模拟视频监控中图像质量差、无法联网、不可移植等不足,设计了一种基于嵌入式Linux的智能家居远程视频监控系统。远程视频监控系统以ARM（Advanced RISC Machines）处理器S3C2440和Linux操作系统为核心平台。在内核中添加了各种所需的驱动程序,基于V4L2的应用程序对USB摄像头进行图像视频采集,采用TCP/IP网络协议,进行视频数据传输。主机端采用跨平台开发工具Qt开发应用程序,接收图像视频数据并显示图像视频。实验结果显示,能在远程端看到清晰流畅的视频流,系统运行稳定可靠。     

Quantized STDP-based online-learning spiking neural network

Neural Computing and Applications - In this work, we report a spike-timing-dependent plasticity (STDP)-based weight-quantized/binarized online-learning spiking neural network (SNN). The SNN uses...     

基于桌面云的统一身份认证架构研究

桌面云是云计算的一种典型应用,能够有效提高资源利用率和维护效率,使人们应用桌面系统的方式发生了深刻变革。但是随着桌面云的广泛应用,如何集中管理和统一认证用户身份成为了桌面云面临的挑战。文章通过分析传统单点登录和桌面云认证技术,提出了一种基于桌面云的统一身份认证模式．并对该架构的优势进行了分析。     

多字体印刷藏文内容监测系统研究

针对藏文舆情分析中藏文印刷品和藏文图片内容无法自动监测的难题,文章在深入分析印刷藏文字符特征和藏文文本特点的基础上,提出支持多字体印刷藏文内容监测系统的实现方法,重点阐述藏文字符的特征提取、分类算法以及藏文文本内容监测方法。     

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。     

Dynamics and genetic fuzzy neural network vibration control design of a smart flexible four-bar linkage mechanism

In this paper, a dynamic modeling method and an active vibration control scheme for a smart flexible four-bar linkage mechanism featuring piezoelectric actuators and strain gauge sensors are presented. The dynamics of this smart mechanism is described by the Discrete Time Transfer Matrix Method of Multibody System (MS-DTTMM). Then a nonlinear fuzzy neural network control is employed to suppress the vibration of this smart mechanism. For improving the dynamic performance of the fuzzy neural network, a genetic algorithm based on the MS-DTTMM is designed offline to tune the initial parameters of the fuzzy neural network. The MS-DTTMM avoids the global dynamics equations of the system, which results in the matrices involved are always very small, so the computational efficiency of the dynamic analysis and control system optimization can be greatly improved. Formulations of the method as well as a numerical simulation are given to demonstrate the proposed dynamic method and control scheme.     

A novel adaptive cooperative location algorithm for wireless sensor networks

To overcome the disadvantages of the location algorithm based on received signal strength indication(RSSI) in the existing wireless sensor networks(WSNs),a novel adaptive cooperative location algorithm is proposed.To tolerate some minor errors in the information of node position,a reference anchor node is employed.On the other hand,Dixon method is used to remove the outliers of RSSI,the standard deviation threshold of RSSI and the learning model are put forward to reduce the ranging error of RSSI and improve the positioning precision effectively.Simulations are run to evaluate the performance of the algorithm.The results show that the proposed algorithm offers more precise location and better stability and robustness.     

基于BPCNN的图像分割方法

研究一种双向脉冲耦合神经网络(BPCNN)的图像分割问题.首先将彩色图像量化结果或灰度图像作为BPCNN的外部输入激励,每个神经元根据BPCNN的正向脉冲产生器或逆向脉冲产生器发布脉冲信号,实现对图像的初始分割;然后根据初分割图像的区域距离合并过分割区域,最后提出一种综合多种分割评价准则的分割评价体系,并对分割结果进行了评价.实验结果表明,BPCNN算法在多类图像上均取得较好的分割效果,利用实验数据对比了多种常用分割算法,BPCNN算法在综合评价体系上有明显的优越性.