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	Applications of differential barometric altimeter in ground cellular communication positioning network 期刊论文 OAI收割 IET SCIENCE MEASUREMENT & TECHNOLOGY, 2020, 卷号: 14, 期号: 3, 页码: 322-331 作者: Hu, Zhengqun; Zhang, Lirong; Ji, Yuanfa \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/12/06 cellular radio height measurement measurement errors Global Positioning System altimeters barometers least squares approximations Kalman filters surface fitting spread spectrum communication compensation matrix algebra GPS signal message structure power spectrum spread spectrum ranging signal fitting parameters least-square solution calibration compensation system noise variance matrix measurement noise variance matrix multibase station correction height information correction calculation DBA system systematic performance differential barometric altimeter ground cellular communication positioning network measurement datum distribution altitude positioning error Global Positioning System differential barometric altimetry system systematic implementation level continuous altitude measurement precise altitude measurement DBA systematic implementation aspect two dimensional curved surface fitting function sensor measurement correction filtering effect Kalman filter measuring station multiBSs navigation fusion
	Robust correlation filter tracking with deep semantic supervision 期刊论文 OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760 作者: Wang, Wei; Chen, Zhaoming; Douadji, Lyes; Shi, Mingquan \| 收藏 \| 浏览/下载：87/0 \| 提交时间：2019/06/24 particle filtering (numerical methods) learning (artificial intelligence) target tracking convolutional neural nets robust correlation filter tracking high tracking performance tracking failure deep semantic supervision tracking framework redetection tracking mechanism particle filtering resampling CF tracker deep convolutional neural network tracking frames target occlusion handcrafted features real-time performance OTB2013 benchmark datasets OTB2015 benchmark datasets
	EcoUp: Towards Economical Datacenter Upgrading 期刊论文 OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 7, 页码: 1968-1981 作者: Yan, Guihai; Ma, Jun; Han, Yinhe; Li, Xiaowei \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/12/13 Datacenter upgrading cost efficiency performance prediction recommender systems collaborative filtering
	Two-step etch method to improve the filtering performance of nuclear track membrane 会议论文 OAI收割作者: Wang Yang; Qu Hua; Mo Dan; Xiong, L; Jiao, Q \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/08/20 Nuclear track membrane Two-step etch method Double-cone shape Flux comparison Filtering performance
	Two-step etch method to improve the filtering performance of nuclear track membrane 会议论文 OAI收割作者: Wang Yang; Qu Hua; Mo Dan; Xiong, L; Jiao, Q \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2018/08/20 Nuclear track membrane Two-step etch method Double-cone shape Flux comparison Filtering performance
	The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：59/0 \| 提交时间：2013/03/25 Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	Applying observer feedback in motor control (EI CONFERENCE) 会议论文 OAI收割 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011, January 6, 2011 - January 7, 2011, Shanghai, China Huan Z.-Y.; Li H.-W. 收藏 \| 浏览/下载：10/0 \| 提交时间：2013/03/25 When the speed is low or the encoder has a low precision speed measured by backward difference method has obvious truncation error. This will arise ripple in the control system speed response. Speed filtering can decrease the ripple but it's not good enough and it also induces lag. A speed feedback method based on all-state observer was introduced to improve the speed feedback performance. Experiment results show that compared to filtering method the control system performance is improved.