|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Review on Graphene-Based Gas/Vapor Sensors with Unique Properties and Potential Applications显示文摘Graphene-based gas/vapor sensors have attracted much attention in recent years due to their variety of structures, unique sensing performances, room-temperature working conditions, and tremendous application prospects, etc.Herein, we summarize recent advantages in graphene preparation, sensor construction, and sensing properties of various graphene-based gas/vapor sensors, such as NH_3, NO_2, H_2, CO, SO_2, H_2S, as well as vapor of volatile organic compounds.The detection mechanisms pertaining to various gases are also discussed. In conclusion part, some existing problems which may hinder the sensor applications are presented. Several possible methods to solve these problems are proposed, for example, conceived solutions, hybrid nanostructures, multiple sensor arrays, and new recognition algorithm. | Tao Wang Da Huang Zhi Yang Shusheng Xu Guili He Xiaolin Li Nantao Hu Guilin Yin Dannong He Liying Zhang | 2016 | Nano-Micro Letters2016，8，2： | 18 |
| 2 | Design of Embryo-electronic Systems Capable of Self-diagnosing and Self-healing and Configuration Control显示文摘空航天器工作于恶劣空间环境,要求其测控系统硬件具有高可靠性和自修复能力。胚胎电子系统是一种具有自检测、自修复能力的仿生硬件.根据多细胞生物体结构中自检测自修复机制,设计了包含DNA存储器、功能模块、状态控制和自诊断模块以及物理连接模块等的胚胎电子系统体系结构及其容错机制。又针对目前配置存储器无法满足大规模胚胎电子系统要求,提出了基于移位寄存器的胚胎电子系统配置存储器新结构及其配置控制技术。设计了基于移位寄存器的胚胎电子系统配置存储器的整体结构,整个胚胎电子系统的配置存储器连接在一起形成一个链式结构。并设计了配置存储器单元的内部电路以及基于移位寄存器的胚胎电子系统配置控制和动态重构方法。实验表明,该系统既能够实现胚胎电子系统的故障自修复和胚胎电子系统功能的在线动态重构,该存储器结构相比基于SRAM的配置存储器结构,在128×128以上的大规模胚胎电子系统时,可以节约大约90%以上的存储器面积。 | Xu Guili Xia Zhenghao Wang Haibin Zhang Zhai Wang Youren | 2009 | Chinese Journal of Aeronautics2009，22，6： | 9 |
| 3 | Use of land's cooperative object to estimate UAV's pose for autonomous landing显示文摘The research of unmanned aerial vehicles’(UAVs’)autonomy navigation and landing guidance with computer vision has important signifcance.However,because of the image blurring,the position of the cooperative points cannot be obtained accurately,and the pose estimation algorithms based on the feature points have low precision.In this research,the pose estimation algorithm of UAV is proposed based on feature lines of the cooperative object for autonomous landing.This method uses the actual shape of the cooperative-target on ground and the principle of vanishing line.Roll angle is calculated from the vanishing line.Yaw angle is calculated from the location of the target in the image.Finally,the remaining extrinsic parameters are calculated by the coordinates transformation.Experimental results show that the pose estimation algorithm based on line feature has a higher precision and is more reliable than the pose estimation algorithm based on points feature.Moreover,the error of the algorithm we proposed is small enough when the UAV is near to the landing strip,and it can meet the basic requirements of UAV’s autonomous landing. | Xu Guili Qi Xiaopeng Zeng Qinghua Tian Yupeng Guo Ruipeng Wang Biao | 2013 | Chinese Journal of Aeronautics2013，26，6： | 8 |
| 4 | Carbon nanotubes for supercapacitors:Consideration of cost and chemical vapor deposition techniques显示文摘In this topic,we first discussed the requirement and performance of supercapacitors using carbon nanotubes(CNTs) as the electrode,including specific surface area,purity and cost.Then we reviewed the preparation technique of single walled CNTs(SWNTs) in relatively large scale by chemical vapor deposition method.Its catalysis on the decomposition of methane and other carbon source,the reactor type and the process control strategies were discussed.Special focus was concentrated on how to increase the yield,selectivity,and purity of SWNTs and how to inhibit the formation of impurities,including amorphous carbon,multiwalled CNTs and the carbon encapsulated metal particles,since these impurities seriously influenced the performance of SWNTs in supercapacitors.Wish it be helpful to further decrease its product cost and for the commercial use in supercapacitors. | Chao Zheng Weizhong Qian Chaojie Cui Guanghui Xu Mengqiang Zhao Guili Tian Fei Wei | 2012 | Journal of Natural Gas Chemistry2012，21，3： | 3 |
| 5 | A man-made object detection algorithm based on contour complexity evaluation显示文摘Man-made object detection is of great significance in both military and civil areas, such as search-and-rescue missions at sea, traffic signs recognition during visual navigation, and targets location in a military strike. Contours of man-made objects usually consist of straight lines, corner points, and simple curves. Motivated by this observation, a man-made object detection method is proposed based on complexity evaluation of object contours. After salient contours which keep the crucial information of objects are accurately extracted using an improved mean-shift clustering algorithm, a novel approach is presented to evaluate the complexity of contours. By comparing the entropy values of contours before/after sampling and linear interpolation, it is easy to distinguish between man-made objects and natural ones according to the complexity of their contours.Experimental results show that the presented method can effectively detect man-made objects when compared to the existing ones. | Guili XU Zhengbing WANG Yuehua CHENG Yupeng TIAN Chao ZHANG | 2017 | Chinese Journal of Aeronautics2017，30，6： | 2 |
| 6 | Use of leaf color images to identify nitrogen and potassium deficient tomatoes 显示文摘 | Xu Guili Zhang Fengling Syed Ghafoor Shah | 2011 | Pattern Rec- ognition Letters2011，32，11： | 1 |
| 7 | Influence of Heating Rate on Double Reversible Transformation in CuZnAlMnNi Shape Memory Alloy显示文摘The influence of heating rate on double reversible transformation in CuZnAlMnNi shape memory alloy was investigated by differential scanning calorimetry. It was found that rapid heating inhibits X-M transformation but is fa- vorable to the reverse medensite transformation, giving rise to the approach of the two transformation peaks. With the decrease of heating rate, the two transformation peaks separate gradually. | Yujun Bai, Chengwei Lu, Xiangang Xu, Guili Geng, Longwei Yin (Mechanical Department, Shandong University of Science and Technology, Jinan 250031, China Institute of Materials Science and Engineering, Shandong University, Jinan 250061, China) | 2001 | Rare Metals2001，20，2： | 1 |
| 8 | Arnoldi Projection Fractional Tikhonov for Large Scale Ill-Posed Problems显示文摘It is well known that Tikhonov regularization in standard form may determine approximate solutions that are too smooth for ill-posed problems,so fractional Tikhonov methods have been introduced to remedy this shortcoming.And Tikhonov regularization for large-scale linear ill-posed problems is commonly implemented by determining apartial Arnoldi decomposition of the given matrix.In this paper,we propose a new method to compute an approximate solution of large scale linear discrete ill-posed problems which applies projection fractional Tikhonov regularization in Krylov subspace via Arnoldi process.The projection fractional Tikhonov regularization combines the fractional matrices and orthogonal projection operators.A suitable value of the regularization parameter is determined by the discrepancy principle.Numerical examples with application to image restoration are carried out to examine that the performance of the method. | Wang Zhengsheng Mu Liming Liu Rongrong Xu Guili | 2018 | Transactions of Nanjing University of Aeronautics and Astronautics2018，35，3： | 1 |
| 9 | Use of leaf color images to identify nitrogen and potassium deficient tomatoes显示文摘 | Xu Guili Zhang Fengling Syed Ghafoor Shah | | 0，，11： | 1 |
| 10 | LC–ESI-MS method for the determination of bisoprolol in human plasma显示文摘 | Li Ding Xia Zhou Xiaofeng Guo Qinxin Song Jianchang He Guili Xu | 2007 | Journal of Pharmaceutical and Biomedical Analysis2007，，2： | 1 |
| 11 | Use of leaf color images to identify nitrogen and potassium deficient tomatoes显示文摘 | Guili Xu Fengling Zhang Syed Ghafoor Shah | 2011 | Pattern Recognition Letters2011，32，11： | 1 |
| 12 | A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering显示文摘Multi-sensor image matching based on salient edges has broad prospect in applications,but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges,a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means(PFCM) kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means(FCM) clustering is sensitive to noises and possibility C-means(PCM) clustering tends to find identical clusters.On this basis,a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition,the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness. | Xu Guili Zhao Yan Guo Ruipeng Wang Biao Tian Yupeng Li Kaiyu | 2014 | Chinese Journal of Aeronautics2014，27，1： | 1 |
| 13 | Research on computer vision-based for UAV autonomous landing on a ship显示文摘 | Guili Xu Yong Zhang Shengyu Ji Yuehua Cheng Yupeng Tian | 2009 | Pattern Recognition Letters2009，，6： | 1 |
| 14 | Use of leaf color images to identify nitrogen and potassium deficient tomatoes显示文摘 | Guili Xu Fengling Zhang Syed Ghafoor Shah | | 0，，11： | 1 |
| 15 | An efficient and globally optimal solution to perspective-n-line problem显示文摘This research develops an accurate and efficient method for the Perspective-n-Line(Pn L)problem. The developed method addresses and solves Pn L via exploiting the problem’s geometry in a non-linear least squares fashion. Specifically, by representing the rotation matrix with a novel quaternion parameterization, the Pn L problem is first decomposed into four independent subproblems. Then, each subproblem is reformulated as an unconstrained minimization problem, in which the Kronecker product is adopted to write the cost function in a more compact form. Finally, the Groobner basis technique is used to solve the polynomial system derived from the first-order optimality conditions of the cost function. Moreover, a novel strategy is presented to improve the efficiency of the algorithm. It is improved by exploiting structure information embedded in the rotation parameterization to accelerate the computing of coefficient matrix of a cost function. Experiments on synthetic data and real images show that the developed method is comparable to or better than state-of-the-art methods in accuracy, but with reduced computational requirements. | Qida YU Guili XU Zhengsheng WANG Zhenhua LI | 2022 | Chinese Journal of Aeronautics2022，35，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员