超级电容在手机电源中的应用

超级电容又称法拉电容,是指其容量为法拉级的电容。文章介绍了应用超级电容作为手机电池的总体思路并重点介绍了其充电电路、升压电路和控制电路的设计。该电池具有充电快、寿命长、免维护并且环保等特点。     

超高压大容量铝电解电容器的研制

分析了大功率设备用超高压大容量铝电解电容器的特点,通过研制工作电解液、制订制作工艺及零部件设计方案,研制出的超高压大容量铝电解电容器具有损耗角正切小(tgδ为0.25)、承受纹波电流能力强(100 Hz,2.12～27.8 A)及寿命长的特点,耐久性达到85℃,5 000 h。     

Automatic fog detection and estimation of visibility distance through use of an onboard camera

In this paper, we will present a technique for measuring visibility distances under foggy weather conditions using a camera mounted onboard a moving vehicle. Our research has focused in particular on the problem of detecting daytime fog and estimating visibility distances; thanks to these efforts, an original method has been developed, tested and patented. The approach consists of dynamically implementing Koschmieder's law. Our method enables computing the meteorological visibility distance, a measure defined by the International Commission on Illumination (CIE) as the distance beyond which a black object of an appropriate dimension is perceived with a contrast of less than 5%. Our proposed solution is an original one, featuring the advantage of utilizing a single camera and necessitating the presence of just the road and sky in the scene. As opposed to other methods that require the explicit extraction of the road, this method offers fewer constraints by virtue of being applicable with no more than the extraction of a homogeneous surface containing a portion of the road and sky within the image. This image preprocessing also serves to identify the level of compatibility of the processed image with the set of Koschmieder's model hypotheses. Nicolas Hautiére graduated from the École Nationale des Travaux Publics de l'État, France (2002). He received his M.S. and Ph.D. degree in computer vision, respectively, in 2002 and 2005 from Saint-Étienne University (France). From 2002, he is a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC), Paris, France. His research interests include trafic engineering, computer vision, and pattern recognition. Jean-Philippe Tarel graduated from the École Nationale des Ponts et Chaussées, Paris, France (1991). He received his Ph.D. degree in Applied Mathematics from Paris IX-Dauphine University in 1996 and he was with the Institut National de Recherche en Informatique et Automatique (INRIA) from 1991 to 1996. From 1997 to 1998, he was a research associate at Brown University, USA. From 1999, he is a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC), Paris, France, and from 2001 to 2003 in the INRIA. His research interests include computer vision, pattern recognition, and shape modeling. Jean Lavenant graduated from the École Nationale des Travaux Publics de l'État, Lyon, France (2001). He received the M.S. degree in Computer Vision from Jean Monnet university of Saint-Étienne in 2001. In 2001, he was a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC). In 2002, he was a system engineer in Chicago (USA). He is currently an engineer for the french ministry of transports. Didier Aubert received the M.S. and Ph.D. degree, respectively, in 1985 and 1989 from the National Polytechnical Institut of Grenoble (INPG). From 1989--1990, he worked as a research scientist on the development of an automatic road following system for the NAVLAB at Carnegie Mellon University. From 1990–1994, he worked in the research department of a private company (ITMI). During this period he was the project leader of several projects dealing with computer vision. He is currently a researcher at INRETS since 1995 and works on Road traffic measurements, crowd monitoring, automated highway systems, and driving assistance systems for vehicles. He is an image processing expert for several companies, teaches at Universities (Paris VI, Paris XI, ENPC, ENST) and is at the editorial board of RTS (Research - Transport - Safety).     

Cartesian grid methods using radial basis functions for solving Poisson, Helmholtz, and diffusion–convection equations

Four methods that solve the Poisson, Helmholtz, and diffusion–convection problems on Cartesian grid by collocation with radial basis functions are presented. Each problem is split into a problem with an inhomogeneous equation and homogeneous boundary conditions, and a problem with a homogeneous equation and inhomogeneous boundary conditions. The former problem is solved by collocation with multiquadrics, whereas the latter problem is solved by collocation with either multiquadrics or fundamental solutions. It is found that methods that make use of fundamental solutions for collocation yield more accurate solutions that are less sensitive to the shape parameter of multiquadrics and node arrangement. Additional collocation appears to improve the quality of solutions.     

一种新颖的基于非压缩数字视频的水印盲检测算法

数字水印是一种嵌入到多媒体数据中用来进行版权标识的工具。在众多的宿主媒体中，数字视频因具有隐藏容量大、透明性好、鲁棒性强等诸多优点而受到日益广泛的关注。但是很多文献中提到的视频水印都是从数据流中提取单帧图像进行处理，这类算法与静态图像的水印方法如出一辙，没有充分利用视频文件的各种特性。而且对帧平均、视频压缩等常见的运动图像攻击方法十分敏感。针对这些问题，本文以非压缩视频文件为实验对象，结合人类视觉模型和彩色图像场景分割的方法，提出并实现了一种基于视频时间轴的数字水印盲检测算法。实验结果表明算法有效实用。     

自对准双扩散MOS器件的阈值电压分析

文章提出了精确描述自对准双扩散MOS器件阀值电压的解析模型，给出了其沟道中杂质的二维分布和源结耗尽层宽度的计算方法；分析了边缘效应对氧化层电容的影响，借助电荷共事模型，建立了反映非均匀沟道中耗尽层电荷变化及其对开启电压影响的阀值电压模型；同时，借助二维仿真器，计算出自对准双扩散MOS器件的阈值电压，其值与解析值相吻合。     

一种具有高电源抑制比的低功耗CMOS带隙基准电压源

文章设计了一种适用于CMOS工艺的带隙基准电压源电路，该电路采用工作在亚阈值区的电路结构，并采用高增益反馈回路，使其具有低功耗、低电压、高电源电压抑制比和较低温度系数等特点。     

结合功率控制的时-空多用户检测器

针对CDMA系统中抗干扰技术,提出一种结合多用户检测、波束成形和功率控制的算法,对接收信号在时域和空间上进行联合处理,能大大抑制干扰,提高系统容量。     

一种基于HMM模型的弱小点目标的检测算法

讨论复杂背景、强干扰条件下移动平台下弱小目标的检测，提出一种基于隐Markov模型的快速检测算法，该算法通过计算摄像机视场的运动，消除背景的干扰，通过计算模型中的目标转移概率和似然函数，确定点目标的运动轨迹，实验表明了该算法的有效性。     

自由曲面五坐标数控加工干涉检查

提出了一种新方法，用于环刀五坐标数控加工的干涉检查。该方法将干涉检查分为刀轴及侧刃干涉检查和端面干涉检查。首先将加工曲面分片，选取合适的初始点。然后利用自由曲面的微分特性，确定跟踪方向和步长，迅速计算出工件和刀具的最短距离，从而判断是否发生干涉。实验仿真表明，达到同样精度时，该算法计算效率远高于常规的三角面片法。