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浏览/检索结果: 共9条，第1-9条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems 期刊论文 SUSTAINABILITY, 2019, 卷号: 11 作者:  Liu, Chunting;  Jia, Guozhu 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 industrial big data  computational sustainability  multi-method comparison  reliability and sustainability  high-dimensional data   Risk assessment of rockburst via an extended MABAC method under fuzzy environment 期刊论文 Tunnelling and Underground Space Technology, 2019, 卷号: 83, 页码: 533-544 作者:  Liang, Weizhang;  Zhao, Guoyan*;  Wu, Hao;  Dai, Bing 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/27 Rockburst  Risk assessment  Multi-attributive border approximation area comparison (MABAC) method  Triangular fuzzy numbers (TFNs)  Fuzzy environment   A multi-criteria decision-making framework for risk ranking of energy performance contracting project under picture fuzzy environment 期刊论文 Journal of Cleaner Production, 2018, 卷号: 191, 页码: 105-118 作者:  Wang, Le;  Peng, Juan-juan;  Wang, Jian-qiang* 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/03 Energy performance contracting  Risk ranking  Picture fuzzy set  Hybrid fuzzy multi-criteria decision-making method  Prospect theory  Multi-attributive border approximation area comparison (MABAC) method   A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China Huang J.; Wang Y.; Ji H.; Liu G. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 This paper presents a new fast target recognition algorithm  the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA  it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm  it is also robust to affine transform  light projective transform  noise  thin fog  occlusion and illumination change. the performed experiments show that it has fast searching speed  and can accurately recognize and locate target in real scenes. 2012 IEEE.   Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文 10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China Yang H.-T.; Gao H.-B. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 In range measurement  theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system  the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm  which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.   Design of a miniature axial flux flywheel motor with PCB winding for nanosatellites (EI CONFERENCE) 会议论文 2012 International Conference on Optoelectronics and Microelectronics, ICOM 2012, August 23, 2012 - August 25, 2012, Changchun, China Wu J. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 This paper presents the design and analysis of an axial flux permanent-magnet (AFPM) machine for nanosatellites application. It is a miniature axial flux surface mounted permanent magnet flywheel motor  using a printed circuit board (PCB) stator winding. The PCB stator has simplified the design and construction and avoids unnecessary space  since size reduction has become one of the most important aspects of flywheel motor design for nanosatellites. The performances of the machine are estimated by combination method of three-dimensional (3D) electromagnetic finite element analysis (FEA) and approximate theoretical analysis. The back EMF and electromagnetic torque are derived. A comparison between the analysis and experimental measurement results of the prototype machine is also presented. Both simulated and experimental results show that the proposed motor would be an acceptable solution for the nanosatellite applications with advantages such as simple structure and low-cost  as multi-layer circuit board production techniques have made the production of printed circuit coils cheaper and easier. 2012 IEEE.   A doubly degenerate diffusion system multi-coupled via inner and boundary sources 期刊论文 ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, 2011, 卷号: 62, 页码: 1083-1099 作者:  Jiang, Zhaoxin;  Zheng, Sining 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/18 Nonlinear diffusion  Inner source  Boundary source  Multi-couplings  Global solutions  Blow-up  Comparison principle  Energy method   A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Lu J.; He B. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.   Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Zhao B.; He B.; Cong Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 Based on the characteristic of striping noise in remote sensing images  a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm  the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.