基于NARMA-L2模型的弓网系统振动主动控制

建立简单链型悬挂接触网模型和受电弓系统三元质量模型,并给出了动力学方程;介绍NARMA-L2神经网络模型,将NARMA-L2模型应用到弓网振动控制系统中并给出了主动控制方案;针对列车速度为200km·h-1、250km·h-1、300km·h-1、350km·h-1,分别对控制器控制效果进行仿真研究,得到弓网接触力和受电弓抬升量仿真曲线,对仿真得到的数据从最大值、最小值、平均值、标准差四个方面进行分析,并与没有引入NARMA-L2模型控制所得的仿真结果做了对比研究;对比结果表明:与无NARMA-L2控制相比,在车速为200km·h-1时,弓网接触力标准差降低59.46%,受电弓抬升量标准差降低37.72%;车速为250km·h-1时分别降低60.04%、37.99%;车速为300km·h-1时分别降低59.91%、36.74%;车速为350km·h-1时分别降低59.53%、35.84%;因此,基于NARMA-L2神经网络的弓网振动控制系统可以大大降低弓网振动幅度,增强弓网耦合性,从而使弓网接触更稳定,实现更好的受流。     

基于SQLite的边界扫描互连测试矢量生成设计

互连测试是边界扫描技术的主要内容之一,在分析IEEE1149.1的基础上,给出一种基于嵌入式开源数据库SQLite的边界扫描测试系统中互连测试矢量生成的设计;利用SQLite数据库中存储的被测电路的扫描链路信息和器件等信息,得到扫描粗链并进一步形成扫描细链;利用可测网络信息结合测试算法产生测试矢量;最终将测试矢量在扫描细链上对扫描单元赋值即得到扫描链的互连测试矢量集;测试结果表明,该设计可快速生成测试矢量而缩短测试时间,具有较好的应用前景.     

Video parsing via spatiotemporally analysis with images

Effective parsing of video through the spatial and temporal domains is vital to many computer vision problems because it is helpful to automatically label objects in video instead of manual fashion, which is tedious. Some literatures propose to parse the semantic information on individual 2D images or individual video frames, however, these approaches only take use of the spatial information, ignore the temporal continuity information and fail to consider the relevance of frames. On the other hand, some approaches which only consider the spatial information attempt to propagate labels in the temporal domain for parsing the semantic information of the whole video, yet the non-injective and non-surjective natures can cause the black hole effect. In this paper, inspirited by some annotated image datasets (e.g., Stanford Background Dataset, LabelMe, and SIFT-FLOW), we propose to transfer or propagate such labels from images to videos. The proposed approach consists of three main stages: I) the posterior category probability density function (PDF) is learned by an algorithm which combines frame relevance and label propagation from images. II) the prior contextual constraint PDF on the map of pixel categories through whole video is learned by the Markov Random Fields (MRF). III) finally, based on both learned PDFs, the final parsing results are yielded up to the maximum a posterior (MAP) process which is computed via a very efficient graph-cut based integer optimization algorithm. The experiments show that the black hole effect can be effectively handled by the proposed approach.     

城市道路雨水排放系统构建及要点研究

传统城市道路雨水排放系统局限于道路雨水管道单一设施,无法适应当下缓解城市内涝、控制面源污染等需求.提出由低影响开发子系统、雨水管渠子系统和道路行泄通道子系统组成的城市道路雨水排放系统,明确子系统的衔接关系及对应的设计标准.在此基础上,重点研究道路行泄通道子系统规划设计的要点和方法.     

高校党务工作信息化平台研究

在通过总结,并分析了大量高等院校党务工作的具体模式、管理工作共性的基础上,参照先进的党务管理理念,结合西南林业大学多年的党务工作经验、实际情况,应用信息化技术手段,构建了高校党务工作信息化平台,并给出了系统设计方案。     

基于IEEE 1500的数字SOC测试系统的设计与实现

IEEE 1500为核供应者与核应用者提供接口,可有效实现测试电路复用。简要分析IEEE 1500标准,包括核测试壳Wrapper及核测试语言(CTL)两者的结构和特点;论述基于IEEE 1500的数字SOC测试系统的总体设计目标,设计了测试系统的软硬件体系结构,并构建了测试系统;通过DEMO电路测试验证,系统可正确实现扫描链完备性测试、核功能内测试及核互连测试,表明系统工作稳定,通用性强。     

基于FPGA雷达多目标模拟器DRFM设计与实现

研究了雷达多目标模拟系统中数字射频存储(DRFM)单元的设计与实现,根据模拟系统的设计要求,提出一种基于高性能FPGA数字射频存储单元设计方法;着重阐述了数字射频存储单元的设计思路,给出了系统的设计方案,并对系统中雷达模拟目标的各功能模块进行了分析,实验结果表明,所设计的DRFM满足设计系统要求.     

Two dimensional principal components of natural images and its application

In this paper, two dimensional principal components of natural images (2D-PCs) are proposed. Similar to principal components of natural images (1D-PCs), 2D-PCs can also be viewed as fundamental components of human's receptive field because they contain edge-like, bar-like and grating-like patterns. However, compared to 1D-PCs, 2D-PCs are of surprising symmetry, stable regularity, good interpretability, and have little computational complexity in real applications. Then, based on 1D-PCs and 2D-PCs, we design two kinds of statistical texture features (STF(1D) and STF(2D)), and apply them to multi-class facial expression recognition. Numerous experimental results demonstrate that our statistical texture features are better or not worse than other popular features for facial expression recognition.     

Few-shot decision tree for diagnosis of ultrasound breast tumor using BI-RADS features

Multimedia Tools and Applications - This paper proposes an ultrasound breast tumor CAD system based on BI-RADS features scoring and decision tree algorithm. Because of the difficulty of biopsy...