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RESEARCH ON PRECISION IMPROVEMENT OF IRON ORE INSPECTION BASED ON INTELLIGENT SAMPLING EQUIPMENT 期刊论文
FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 卷号: 28, 期号: 11, 页码: 8062-8069
作者:  Zuo, Zhaoying;  Xu, Guangcheng;  Li, Hongwei;  Liu, Gang
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/11
Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives 期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 3
作者:  Wang, Kang;  Huai, Ruituo;  Yu, Zhihao;  Zhang, Xiaoyang;  Li, Fengjuan
收藏  |  浏览/下载：19/0  |  提交时间：2019/12/11
FOCES: Detecting forwarding anomalies in software defined networks 会议论文
作者:  Zhang, Peng;  Xu, Shimin;  Yang, Zuoru;  Li, Hao;  Li, Qi
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/19
Research on the precision loss of ball screw with short-time overload impact 期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2018, 卷号: 10, 期号: 12
作者:  Zhao, Jiajia;  Lin, Mingxing;  Song, Xianchun;  Jiang, Hongkui
收藏  |  浏览/下载：10/0  |  提交时间：2019/12/11
Confidence intervals for sparse precision matrix estimation via Lasso penalized D-trace loss 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 24, 页码: 12299-12316
作者:  Huang Xudong;  Li Mengmeng
收藏  |  浏览/下载：3/0  |  提交时间：2019/08/22
Variable Precision Rough Set Model and Application Based on Grey Similarity Incidence Relationship 期刊论文
JOURNAL OF GREY SYSTEM, 2017, 卷号: 29, 期号: 3, 页码: 45-57
作者:  Liu, Yong;  Yin, Xunian;  Cao, Bingru;  Qian, Wuyong
收藏  |  浏览/下载：5/0  |  提交时间：2019/08/22
Structures of precision losses in computing approximate Grobner bases 期刊论文
JOURNAL OF SYMBOLIC COMPUTATION, 2013, 卷号: 53, 页码: 81-95
作者:  Liang, Ye
收藏  |  浏览/下载：3/0  |  提交时间：2020/01/06
Optimization on motion estimation algorithm based on H. 264 (EI CONFERENCE) 会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wen X.; Li G.
收藏  |  浏览/下载：55/0  |  提交时间：2013/03/25
Motion estimation is a very important part of video compression. As a result of using precision of motion vector in H.264 encoder  the computational cost increases rapidly  and motion estimation is the most time-consuming stage. In this paper  based on the UMHexagonS algorithm  an optimized algorithm is proposed based on the dynamic search window selection  big hexagon and small hexagon search mode respectively  which saves motion estimation time effectively with a little quality loss. Experiments with some typical video sequences show that compared to the original UMHexagonS algorithm  this new algorithm can save about 17.851 % motion estimation time and reduce the complexity of original scheme as well as enhance the real time performance of encoder and almost has no changes in the reconstructed picture quality and bitrates. 2010 IEEE.  
Disc varifocal mechanism to improve efficiency of scene matching navigation system (EI CONFERENCE) 会议论文
2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009, December 13, 2009 - December 14, 2009, Sanya, China
Leng X.-F.; Meng Y.; Wang S.-Y.; Zhang C.-L.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25
In order to meet special requests of optical imaging sensor in scene matching navigation system  a disc varifocal mechanism is proposed for the flight vehicles of long flying time and range. Within small space occupied  it can obtain real images with various resolutions. Moreover  using plate traveling-wave Ultrasonic Motor as its driven motor can reduce energy loss  improve control precision and ensure image obtaining being real-time and stable. Disc varifocal mechanism driven by plate traveling-wave Ultrasonic Motor is high-response  and variation in load doesn't affect its performance parameter. Therefore  applying disc varifocal mechanism in scene matching navigation system  combing software and hardware  can obviously improve the accuracy  real-time and robust of scene matching navigation system. The experiment showed that when the weight of mechanism was 1.5kg  the shortest starting was 0.6ms  and the shortest shutoff was 0.5ms. 2009 IEEE.  
A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Han Q.-L.; Zhu M.; Yao Z.-J.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces  

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