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	Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China 期刊论文 OAI收割 LANDSLIDES, 2020, 页码: DOI: 10.1080/15569543.2020.1780615 作者: Zhou Qi; Xu Qiang; Peng Dalei; Fan Xuanmei; Ouyang Chaojun \| 收藏 \| 浏览/下载：176/0 \| 提交时间：2020/11/18 Loess landslide Numerical simulation Maximum likelihood estimation Parameter probability Spatial distribution
	Modeling and analysis of a free spaning pipeline with randomly distributed corrosion 会议论文 OAI收割 ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2010, Shanghai, China, June 6, 2010 - June 11, 2010 作者: Li L(李磊); Lin M(林缅); Lin, M. 收藏 \| 浏览/下载：30/0 \| 提交时间：2017/06/20 Characteristic parameter Corroded pipelines Corrosion defect Distributed parameter Fluid forces Free spaning pipelines Free spanning pipelines Modeling and analysis Operation status Pipe-line systems Probability functions Randomly distributed
	Multi straight line analytical method for estimating aquifer parameters from recovery test data 期刊论文 OAI收割 Yantu Lixue/Rock and Soil Mechanics, 2008, 卷号: 29, 期号: 12, 页码: 3246-3250 Guo; Zhou; Li; Jian-Qing1; Hong-Fei1; Yan1; 2 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/08/19 Water analysis - Aquifers - Functions - Parameter estimation - Probability density function - Test facilities - Water levels - Water wells - Wells - Analytical methods - Aquifer parameters - Data analysis method - Hydrogeological parameters - Multi straight line analysis - Parameters of aquifer - Pumping rates - Series expressions - Simplification of well function - Storability - Straight lines - Transmissivity - Water level risings - Water storages
	细胞信号转导通路的参数估计学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2007 作者: 刘太元收藏 \| 浏览/下载：43/0 \| 提交时间：2015/09/02 系统生物学信号转导通路参数估计卡尔曼滤波器光滑样条概率密度函数 Systems biology signalling pathways Parameter identification Kalman filter Smooth splines Probability density function
	Study on the detection sensitivity of APS star tracker (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China 作者: Li J.; Li J.; Li J.; Liu J.; Liu J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Detection sensitivity is an important parameter of star tracker which can express detection limit of the weakest detected visual star magnitude. Detection sensitivity of APS star tracker is related to APS parameters optical system aperture and lens permeance rate SNR and so on. This paper the expressions of APS star detected signal and APS noise are given so signal-noise ratio (SNR) of star tracker can be obtained. And based on the theory inspecting signal from noise and optimal SNR threshold detection principle the detection sensitivity model can be obtained. The corresponding APS star tracker detection limit is obtain based on APS IBIS5 and general optical system parameter design. When SNR threshold is 8.1 which can obtain 99.9% detection probability we can calculate that the detection sensitivity is 6.5 visual magnitude.
	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：169/0 \| 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.