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	Unifying linear proportionality between real contact area and load in rough surface contact 期刊论文 OAI收割 JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2025, 卷号: 196, 页码: 18 作者: Meng, Qinghua; Song HX(宋恒旭); Zhou, Yunong; Liu XM(刘小明); Shi, Xinghua \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2025/01/13 Rough surface Elastic contact Contact model Mean absolute slope Shape coefficient
	Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 167998-168007 作者: Zhang, Liying; Pei, Tao; Meng, Bin; Lian, Yuanfeng; Jin, Zhou \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/16 Time series analysis Correlation Shape Correlation coefficient Discrete wavelet transforms Clustering algorithms Multivariate time series cluster maximum overlap discrete wavelet transform symbolic aggregate approximation (SAX) urban rail transit stations
	Two-Phase Multivariate Time Series Clustering to Classify Urban Rail Transit Stations 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 167998-168007 作者: Zhang, Liying; Pei, Tao; Meng, Bin; Lian, Yuanfeng; Jin, Zhou \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/03/16 Time series analysis Correlation Shape Correlation coefficient Discrete wavelet transforms Clustering algorithms Multivariate time series cluster maximum overlap discrete wavelet transform symbolic aggregate approximation (SAX) urban rail transit stations
	A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Hu S.; Zhu M.; Wu C.; Song H.-J. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 In many computer vision tasks in order to improve the accuracy and robustness to the noise wavelet analysis is preferred for the natural multi-resolution property. However the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour the Zernike moments are introduced and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient precise and robust.
	Intersectant multi-target serial number fuzzy match by multi-parameters (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J. 收藏 \| 浏览/下载：161/0 \| 提交时间：2013/03/25 In order to match the intersectant targets' tab when these objects separate a kind of method that makes use of fuzzy multi-parameter to match targets is proposed. Multi-parameters include the forecasted position after targets separate target speed target size and geometry shape and different parameter corresponds to different influence coefficient evaluate the integrated matching coefficient that every observation target corresponds to forecasted target and the corresponding relationship that matching coefficient is the biggest is the best matching result. In order to locate the position and speed of forecasted target a new method of track forecast is proposed firstly Hough transform is used to the object's track before objects intersect by this the object's positions that the warp between forecasted location and observation location is large enough is eliminated then least square method is used for track forecast by the remainder valid positions and get hold of the forecasted position when objects separate. The experiment results show: when tracking the bulky objects which intersect and separate the right identification probability of traditional least square method is 87.5% and the right identification probability of fuzzy match by multi-parameters can attain 96% the reliability improves in evidence.