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121.
Kuan‐I Ho Jia‐Hong Liao Chi‐Hsien Huang Chang‐Lung Hsu Wenjing Zhang Ang‐Yu Lu Lain‐Jong Li Chao‐Sung Lai Ching‐Yuan Su 《Small (Weinheim an der Bergstrasse, Germany)》2014,10(5):989-997
In this study, the scalable and one‐step fabrication of single atomic‐layer transistors is demonstrated by the selective fluorination of graphene using a low‐damage CF4 plasma treatment, where the generated F‐radicals preferentially fluorinated the graphene at low temperature (<200 °C) while defect formation was suppressed by screening out the effect of ion damage. The chemical structure of the C–F bonds is well correlated with their optical and electrical properties in fluorinated graphene, as determined by X‐ray photoelectron spectroscopy, Raman spectroscopy, and optical and electrical characterizations. The electrical conductivity of the resultant fluorinated graphene (F‐graphene) was demonstrated to be in the range between 1.6 kΩ/sq and 1 MΩ/sq by adjusting the stoichiometric ratio of C/F in the range between 27.4 and 5.6, respectively. Moreover, a unique heterojunction structure of semi‐metal/semiconductor/insulator can be directly formed in a single layer of graphene using a one‐step fluorination process by introducing a Au thin‐film as a buffer layer. With this heterojunction structure, it would be possible to fabricate transistors in a single graphene film via a one‐step fluorination process, in which pristine graphene, partial F‐graphene, and highly F‐graphene serve as the source/drain contacts, the channel, and the channel isolation in a transistor, respectively. The demonstrated graphene transistor exhibits an on‐off ratio above 10, which is 3‐fold higher than that of devices made from pristine graphene. This efficient transistor fabrication method produces electrical heterojunctions of graphene over a large area and with selective patterning, providing the potential for the integration of electronics down to the single atomic‐layer scale. 相似文献
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Jérémie Bossu Nicolas Hautière Jean-Philippe Tarel 《International Journal of Computer Vision》2011,93(3):348-367
The detection of bad weather conditions is crucial for meteorological centers, specially with demand for air, sea and ground
traffic management. In this article, a system based on computer vision is presented which detects the presence of rain or
snow. To separate the foreground from the background in image sequences, a classical Gaussian Mixture Model is used. The foreground
model serves to detect rain and snow, since these are dynamic weather phenomena. Selection rules based on photometry and size
are proposed in order to select the potential rain streaks. Then a Histogram of Orientations of rain or snow Streaks (HOS),
estimated with the method of geometric moments, is computed, which is assumed to follow a model of Gaussian-uniform mixture.
The Gaussian distribution represents the orientation of the rain or the snow whereas the uniform distribution represents the
orientation of the noise. An algorithm of expectation maximization is used to separate these two distributions. Following
a goodness-of-fit test, the Gaussian distribution is temporally smoothed and its amplitude allows deciding the presence of
rain or snow. When the presence of rain or of snow is detected, the HOS makes it possible to detect the pixels of rain or
of snow in the foreground images, and to estimate the intensity of the precipitation of rain or of snow. The applications
of the method are numerous and include the detection of critical weather conditions, the observation of weather, the reliability
improvement of video-surveillance systems and rain rendering. 相似文献
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Jean-Pierre Reveillès Denis Richard 《Annals of Mathematics and Artificial Intelligence》1996,16(1):89-152
This paper gives a perfect, ideal, discretization of continuous notions. This is a very convenient frame to treat continuous problems or theories with the help of a computer. This is illustrated by the conversion of algorithms using real numbers into algorithms using integers only and the founding of discrete geometry. 相似文献
128.
Singularity is a fundamental problem with robotic manipulators. Various methods of singularity handling have been published in the past. In this paper, a singularity robust method is presented and its implementation issues discussed. It focuses on the discontinuity problem inherent in the singularity robust techniques with removal of degenerate components. Sources of the discontinuity are discussed and the null motion is proposed as the means of providing a continuous control of the end-effector over the boundary of the singular region. The presentation of this paper covers a complete treatment of singularities, starting from identifications of the singular configurations and the associated singular directions, the handling algorithm and the discontinuity issues. The algorithm was implemented on PUMA 560. The experimental results are presented and discussed. 相似文献
129.
CSCW系统中协同感知的研究 总被引:1,自引:0,他引:1
协同感知理论的研究与应用是计算机支持的协同工作的重要研究内容之一.在研究分析了传统的协同感知所依赖的CSCW体系结构的基础上,提出了一种基于P2P的三层结构的协同感知框架,该架构很适合于CSCW中项目可以划分为若干个相对独立的模块的情形.最后对该框架的具体感知模块进行了分析,并讨论了下一步研究将要解决的问题. 相似文献
130.