动态主观散斑的时间相关性研究

根据散射屏移动时动态主观散斑时间相关公式,分析了成像系统主要参数对动态主观散斑时间相关性的影响：一般情况下屏表面参数对散斑的时间相关性影响较小;激光光斑大于成像系统物面分辨斑时,散斑的时间相关性由透镜孔径大小决定;激光光斑小于成像系统物面分辨斑的尺寸时,减小激光光斑尺寸能减弱散斑时间相关性。对于以上结果进行了相关的理论模拟和部分实验验证,通过模拟发现,激光光斑小于成像系统物面分辨斑时,散斑时间相关长度和光斑尺寸大小成正比。结论对于激光投影系统中利用时间平均进行的散斑抑制具有指导意义。     

基于Petri网和WS-BPEL的自动服务组合研究

为了研究Web服务的自动组合,首先设计从BPEL文档到Petri网的转换规则,并在Petri网中显示BPEL文件的执行流程,然后按照深度优先搜索算法以搜索两个状态之间的可达路径,并提供服务组合质量信息给用户,最后按照搜索到的路径,自动生成可执行BPEL文件.     

TD Femto系统安全问题研究

TD Femto是一种小型、低功率蜂窝基站接入系统,主要用于家庭及办公室等室内场所.TD Femto用于改善TD室内覆盖,为用户提供良好的业务体验.本文对于TD Femto系统的安全性进行了初步研究,并针对每一个可能的安全隐患提出了改进意见.     

LED的特性及驱动电源的发展趋势

LED作为一种新型光源,具有与传统光源不同的特性,LED驱动电源则是LED产业链发展的保障。LED电源的品质直接制约了LED产品的可靠性,因此,在LED产业链逐步完善的今日,LED驱动电源的成熟也至关重要。本文简要介绍LED的基本特性、驱动电源及相关的问题。     

80型轮式装载机作业过程的刚-弹耦合多体动力学分析

轮式装载机是用于装运散料为主的工程机械,经常工作在露天矿山或大型建筑工地,工作环境恶劣,装载机自身系统又十分复杂,其结构件容易破坏失效,因此,精确求取某些关键部件的连接铰点的受力是很重要的,本文采用现代设计方法来研究这个问题。在三维软件CATIA中建立装载机工作装置、车架系统的三维模型,应用多体动力学与有限元相结合的方法,建立了装载机工作装置、车架系统的刚-弹耦合动力学模型,研究了刚-弹耦合的方法,模态中性文件的生成、导入ADAMS中的方法,最终用刚-弹耦合模型进行了作业过程的动力学仿真,得到了一些关键铰点的整个作业过程的受力历程曲线。     

基于局部协方差模型的小波图像降噪

自然图像小波系数的统计特性表明,图像边缘具有很强的局部协方差结构。本文据此提出小波域的局部协方差模型,从噪声图像中估计原图像。实验结果表明,该方法无论从视觉效果上还是峰值信噪比指标上均明显优于维纳滤波及小波阈值法降噪。     

压电型微悬臂梁制备中RIE刻蚀硅工艺的研究

介绍了一种压电型微悬臂梁的制作工艺流程,重点研究了其中硅的反应离子刻蚀(RIE)工艺,分析了工艺参数对刻蚀速率、均匀性和选择比的影响,提出通过适当调整气体流量、射频功率和工作气压,以加快刻蚀速率,改善均匀性,提高选择比。研究表明,在SF6流量为20 mL/min,射频功率为20 W,工作气压为8.00 Pa的工艺条件下,硅刻蚀速率可以提高到401 nm/min,75 mm(3 in.)基片范围内的均匀性为±3.85%,硅和光刻胶的刻蚀选择比达到7.80。为制备压电悬臂梁或其它含功能薄膜的微结构提供了良好的参考。     

三类混沌二相码性能分析

为产生伪随机编码雷达波形,提高雷达低截获概率（LIP）和电子反干扰（ECCM）性能。针对logistic、full logistic、Kent三类最具代表性的映射所产生的混沌序列,在大量仿真基础上,对由此三类混沌序列获得的二相码相关性、平衡性及游程性等性能进行了比较分析,并给出了相应的仿真结果。研究表明三类混沌序列,都具有较好的伪随机特性,由此均可获得产生雷达波形的理性混沌二相码,Kent序列和full logistic序列的综合性能较好。     

Similarity-based online feature selection in content-based image retrieval.

Content-based image retrieval (CBIR) has been more and more important in the last decade, and the gap between high-level semantic concepts and low-level visual features hinders further performance improvement. The problem of online feature selection is critical to really bridge this gap. In this paper, we investigate online feature selection in the relevance feedback learning process to improve the retrieval performance of the region-based image retrieval system. Our contributions are mainly in three areas. 1) A novel feature selection criterion is proposed, which is based on the psychological similarity between the positive and negative training sets. 2) An effective online feature selection algorithm is implemented in a boosting manner to select the most representative features for the current query concept and combine classifiers constructed over the selected features to retrieve images. 3) To apply the proposed feature selection method in region-based image retrieval systems, we propose a novel region-based representation to describe images in a uniform feature space with real-valued fuzzy features. Our system is suitable for online relevance feedback learning in CBIR by meeting the three requirements: learning with small size training set, the intrinsic asymmetry property of training samples, and the fast response requirement. Extensive experiments, including comparisons with many state-of-the-arts, show the effectiveness of our algorithm in improving the retrieval performance and saving the processing time.     

A 12-b, 150 MHz Sample/s CMOS Current Steering D/A Converter with Gradient Error Compensation

This paper discusses a circuit of 12-b, 150 MHz Sample/s current steering DAC with hierarchical symmetrical switching sequences which will compensate gradient error. The circuit of 12-b DAC employs segmented architecture, the least significant bits (LSB's) steer a binary weighted array, while the most significant bits (MSB's) are thermometer decoded and steer a unary array. The measured differential nonlinearity and integral nonlinearity are ± 0.6 least significant bit (LSB) and ±0.9 LSB, respectively. The output spectrum of the DAC is −63 dB with an input frequency of 30 MHz at 150 MHz conversion rate. The circuit is fabricated in 0.5 μ μm, two-poly two-metal, 5.0 V, mixed-signal CMOS process and occupies 1.27 × 0.96 mm, when operating at 150 MHz Sample/s, it dissipates 91.6 mW from 5.0 V power supply which is much lower than those of [1]. Jinguang Jiang received the M.Sc. degree from Hunan University, Hunan, China, in 1998 and the PhD degree from Hunan University, Hunan, China, in 2003, all in Electrical Engineering. He is currently a Postdoctoral fellow of Control Science and Engineering in the Faculty of Electrical and Information Engineering at the University of Hunan. His interests are mode distinguish and intelligent system, intelligent signal process, low-power and low-voltage analog integrated circuits design. Bo Wang received the M.Sc. degree from Southeast University, China, in 1998. He is currently as a senior analog design engineer working at Caretta Integrated Circuits, Shanghai, China. His interests are high-speed analog IC design and analog system modeling and analysis. Yaonan Wang received the M.Sc. degree from Hunan University, Hunan, China, in 1991 and the Ph.D. degree from Hunan University, Hunan, China, in 1994, all in Control Theory and Control Engineering. He is currently a Professor and dean of school of Electrical and Information Engineering at the University of Hunan. He is engaged in research of intelligent control, intelligent signal process, image distinguish and its application.