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	Gas leakage physical simulation and its distributed optical fiber sensing experiments in the casing annulus of injection-production pipe column for underground gas storage 期刊论文 OAI收割 GEOENERGY SCIENCE AND ENGINEERING, 2024, 卷号: 242, 页码: 13 作者: Zou, Xianjian; Wang, Tongtao; Hu, Xinyi; Han, Weimin; Hu, Hao \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2025/06/27 Wellbore leakage Physical simulation Experimental monitoring Underground gas storage Distributed optical fiber sensing
	Study of Gamma Rays' Dose Rates in the EAST Hall 期刊论文 OAI收割 IEEE TRANSACTIONS ON PLASMA SCIENCE, 2020, 卷号: 48 作者: Liu, Guangzhu; Hu, Liqun; Zhong, Guoqiang; Liu, Shixing; Yi, Maoxiang \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2020/11/26 Gamma-rays Monitoring Discharges (electric) Detectors Gamma-ray detectors Tokamak devices Experimental Advanced Superconducting Tokamak (EAST) exponential function gamma ray (gamma) gamma ray detector gamma ray dose rates monitoring system plasma discharge pulse radiation field
	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：79/0 \| 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).
	Research on a scalable parallel data mining algorithm 会议论文 OAI收割 5th International Joint Conference on INC, IMS, and IDC, Seoul, Korea, Republic of, 2009 Wang; Jinlin1; 2; Chen; Xi1; Zhou; Kefa1 收藏 \| 浏览/下载：59/0 \| 提交时间：2011/08/23 Computational complexity - Computational efficiency - Information management - Parallel algorithms - Research - Semiconductor storage - Active field - Data mining algorithm - Domain of knowledge - Experimental verification - Hardware and software - Massive data - Network monitoring systems - Parallel data mining - Projection database - Real-world application - Sensor grids - Sequential patterns - Sequential-pattern mining - Spatial complexity - Streaming data
	Research on 10.6 m laser beam monitoring in CO2 laser processing system (EI CONFERENCE) 会议论文 OAI收割 Infrared Materials, Devices, and Applications, November 12, 2007 - November 15, 2007, Beijing, China 作者: Gao Y.; Shao S. 收藏 \| 浏览/下载：66/0 \| 提交时间：2013/03/25 It is a key point of CO2 laser beam monitoring in the CO 2 laser processing system to achieve alignment between CO2 laser and PL (pointing and launching) system. By monitoring the angle offset of CO2 laser beam the compensation can be gotten witch is given to fast-steering mirror to rectify the direction of laser beam. But the normal photoelectric detector can not get the laser signal because of CO2 laser's high energy and long wavelength. Its wavelength is 10.6m and its power can reach kW level. Consequently it is difficult to detect the high-energy 10.6m laser beam directly. So we monitored the output mirror of laser resonator superseded the laser beam indirectly. The laser beam monitoring system could be designed based on CCD laser auto-collimation angular measurement principle and image processing method. In this paper application of CCD laser auto-collimation angular measurement principle and image processing method for CO2 laser beam monitoring system is introduced particularly After design fabrication and alignment the monitoring system can be used for experimental study that including angular measurement accuracy and angle offset measurement of CO2 laser beam. Angle offset range and angle variation rule of CO2 laser beam is also can be acquired for further research.