自校正Dahlin数字控制器

本文在常规Ｄａｈｌｉｎ数字控制器的基础上，经过改进而提出一种新型的自校正Ｄａｈｌｉｎ数字控制器。它即可用于参数和时滞未知的或慢时变的受控对象，又可用于逆不稳定过程，并能消除控制器的振铃现象，应用范围大为拓广．     

涟钢活性石灰回转窑生产工艺设备的改进及效果

对涟钢日产能力300t的回转窑活性石灰生产工艺设备存在的问题进行了分析,并提出了改进措施,实施这些措施后取得了一定的效果,回转窑结圈周期延长,产量基本达到了设计能力。     

Support Vector Machine (SVM) based compression artifact‐reduction technique

Abstract— A compression artifact‐reduction algorithm based on support vector regression is proposed. The algorithm belongs to a broad family of standard reconstruction methods, but a standardization model is determined from a set of training samples of original images and the corresponding noise‐corrupted version. As opposed to artifact‐reduction methods specific to each type of compression artifact (e.g., blocking, ringing, etc.), we treat such artifacts as a manifestation of the same problem, which is the quantization of DCT coefficients. In the testing step, the algorithm tries to undo the effect of quantization by using the relationship between the original and artifact‐corrupted image, determined during the training step. Experimental results exhibit significant reduction in all types of compression artifacts.     

基于ARM的多功能无线通信模块设计

提出了一种在嵌入式Linux下采用ARM和GSM/GPRS进行无线数据传输方案,使用GPRS、SMS和GSM数据传输三种方式相结合实现以多种方式进行数据通信功能。在合理配置、移植Linux操作系统的基础上,采用以S3C2410X为核心的数据传输的控制模块和内置TCP/IP的SIM300作为数据传输模块,既保证了数据传输的可靠性、实时性,又方便实用。     

处理生料成分波动引起结窑的对策

水泥窑经常会发生结窑、结圈等不正常窑况,严重影响熟料的产质量.原料成分的波动将会引起生料率值的很大变化,但用传统的钙铁控制方法无法确保生料率值的稳定.另外,从熟料结块温度分析,指出了生料率值的波动会引起熟料结块温度的变化,从而容易引起结窑、结圈.而采用生料率值控制系统则可确保出磨生料率值的稳定,为避免结窑、结圈创造条件.     

基于声发射技术的高地温隧洞衬砌早龄期混凝土性能试验

为深入探索高地温条件下早龄期混凝土的力学性能表现,利用混凝土的单轴压缩试验,并结合应力-时间、振铃计数-时间曲线,直观动态地展现高地温环境下的混凝土破坏过程。试验结果表明,高温高湿养护条件下混凝土声发射特征随养护龄期、强度的增加而后移;声发射信号随龄期的变化与混凝土内部材料结构的破坏程度、抗压强度随龄期的变化表现出高度一致的时域特性。研究结果为高地温条件下早龄期混凝土的力学性能研究提供了参考。     

Atmospheric effects of friction,friction noise and wear with silicon and diamond. Part I. Test methodology

This multi-part paper series gives evidence of tribothermally catalyzed, lubricative interactions of low partial pressures of hydrogen, water vapor and oxygen with silicon and polycrystalline diamond employed as bearing materials in moving mechanical assemblies (e.g., miniaturized rotors, bearings and gears) of microelectromechanical systems. In part I a test methodology is described, whereby wide environmental range SEM-tribometric friction data are combined with friction noise analysis and applicable literature information to further assist in interpreting atomic-level interactions governing the macroscopic friction and wear behavior of Si and diamond. To further correlate the wear- and thermal desorption-induced generation, re(de)construction and adsorbate-passivated annihilation of dangling σ bonds with high and low adhesion and friction, previously generated average coefficient of friction (COF) values are complemented with the concept of the associated MAX.COF: the highest coefficient of kinetic friction gleaned from the raw computer-logged friction force data of each oscillatory cycle of an experiment. The MAX.COF/COF ratios are used as measures of the friction noise as a function of temperature and atmospheric environment. These quantities, sampled at the appropriate data logging rate to circumvent test machine-related vibrational disturbances, demonstrated signs of friction- and friction noise-reducing gas-phase interactions of dry hydrogen with silicon (part II) and diamond (part III). Future installments will deal with similar lubricative properties of low partial pressures of wet hydrogen and dry oxygen. This revised version was published online in July 2006 with corrections to the Cover Date.     

一种盲复原图像振铃效应的后处理与质量评价方法

由于图像盲复原过程中先验信息的不足,往往造成复原图像质量不尽如人意,振铃效应就是影响复原图像质量的重要因素之一。振铃效应的存在使得对复原图像的后续处理难于进行,并使得一些图像质量的评价方法失效。针对图像盲复原的特点,提出了一种振铃效应的后处理方法,并基于将振铃与清晰度分别评价的思想,提出了一种复原图像的无参考评价方案。实验证明该去振铃方法简单有效,该复原图像的评价方案也很好地反映了人类的视觉特性。     

双轮铣槽机在地下连续墙施工中的应用

介绍了双轮铣槽机特有的工作特性、成槽质量控制以及在地下连续墙施工中的应用,实践证明,采用双轮铣槽机成槽,除了具有较高的垂直度,无需扩孔外,还可续槽,保证各槽段间的接头具有更好的防渗能力。     

强边缘导向的盲去模糊算法

目的 在图像的获取过程中,成像设备与拍摄场景发生了相对位移,导致获取的实际图像存在信息丢失、模糊退化的现象,这极大地影响了图像的质量和人们的视觉体验,也影响了图像的后续处理。盲去卷积旨在从观测图像中估计模糊核并获得清晰图像,为此提出了一种基于强边缘的运动图像盲去模糊算法。方法 结合图像梯度稀疏性,采用自适应l₀范数约束待估计图像梯度的强边缘;针对模糊核稀疏性和连续性,以l₀-l₂范数分别约束模糊核的像素和梯度,同时把模糊核归一化先验作为正则项引入模型中,以强边缘指导模糊核估计。在去模糊阶段,结合全变分与超拉普拉斯正则化方法的优点,将两种方法复原的图像取平均,以减轻复原图像中的振铃效应,同时保留更多的图像细节。结果 为了检验本文算法的有效性,对Levin测试集和实际拍摄的模糊图像分别进行仿真,并同现有算法进行比较。Levin测试集上的实验结果表明,提出的盲反卷积成功率为100%且在对比算法中具有最高PSNR;实际彩色图像的盲反卷积实验表明,相比于其他算法,本文算法获得的模糊核具有更准确的支撑和较少的噪点,获得的清晰图像具有较优的视觉效果。结论 该方法从定量和定性比较上都体现了较好的去运动模糊能力,可适用于遥感、医学等领域。