中国科学院机构知识库网格系统: 检索

An in-source helical membrane inlet single photon ionization time-of-flight mass spectrometer for automatic monitoring of trace VOCs in water 期刊论文 OAI收割
TALANTA, 2019, 卷号: 192, 页码: 46-51
作者: Wu, Chenxin; Liu, Wei; Jiang, Jichun

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收藏 | 浏览/下载：55/0 | 提交时间：2019/06/20

In-source Helical membrane Single photon ionization Automatic monitoring Trace VOCs Water

An in-source helical membrane inlet single photon ionization time-of-flight mass spectrometer for automatic monitoring of trace vocs in water 期刊论文 iSwitch采集
Talanta, 2019, 卷号: 192, 页码: 46-51
作者: Wu, Chenxin; Liu, Wei; Jiang, Jichun; Wang, Yan; Hou, Keyong

收藏 | 浏览/下载：63/0 | 提交时间：2019/05/08

In-source Helical membrane Single photon ionization Automatic monitoring Trace vocs Water

Online monitoring of trace chlorinated benzenes in flue gas of municipal solid waste incinerator by windowless VUV lamp single photon ionization TOFMS coupled with automatic enrichment system 期刊论文 OAI收割
TALANTA, 2016, 卷号: 161, 页码: 693-699
作者: Xie, Yuanyuan; Hua, Lei; Li, Haiyang; Liu, Wei; Jiang, Jichun

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收藏 | 浏览/下载：110/0 | 提交时间：2019/06/20

Windowless Vuv Lamp Automatic Enrichment Chlorinated Benzenes Online Monitoring Tofms

Automatic monitoring and quantitative characterization of sedimentation dynamics for non-homogenous systems based on image profile analysis 期刊论文 OAI收割
POWDER TECHNOLOGY, 2015, 卷号: 281, 页码: 49-56
作者: Lu, Xiaolong; Liao, Zuhua; Li, Xue; Wang, Manli; Wu, Li

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收藏 | 浏览/下载：51/0 | 提交时间：2019/01/08

Non-homogeneous system Derivative mutation algorithm Automatic monitoring Image processing Sedimentation dynamics Suspensions

In Situ 3D Segmentation of Individual Plant Leaves Using a RGB-D Camera for Agricultural Automation 期刊论文 OAI收割
SENSORS, 2015, 卷号: 15, 期号: 8, 页码: 20463-20479
作者: Xia, CL; Wang, LT; Chung, BK; Lee, JM

收藏 | 浏览/下载：44/0 | 提交时间：2016/04/24

plant monitoring occlusions leaf detection mean shift center of divergence automatic initialization

基于无线传感器网络的农田灌溉远程监控系统 期刊论文 OAI收割
排灌机械工程学报, 2013, 卷号: 31, 期号: 01, 页码: 66-04
郁晓庆; 吴普特; 韩文霆; 张增林

收藏 | 浏览/下载：104/0 | 提交时间：2014/10/15

远程监控系统 remote monitoring system 无线传感器网络 wireless sensor networks 基站 base stations 自动控制 automatic control 灌溉

PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial (EI CONFERENCE) 会议论文 OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
作者: Yu L.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic's blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type 1 diabetes mellitus (T1DM) is an essential part of APS. In order to simplify the parameter identification task so that the model can be implemented electronically with ease this paper presents a simplified model based on Routh approximation model reduction method. The results show that the approximation error between the simplified model and the original model is so small that can be neglected. Based on the simplified model a PID controller is designed to maintain normoglycemia (90mg/dl) in subjects with T1DM. The in silico simulation results show that the glucose concentration is controlled well the risk of hyperglycemia and hypoglycemia is reduced a lot. This suggests that the simplified model describes the insulin-glucose metabolism process accurately and the PID control algorithm is well-suitable to guide the further development of an APS. 2012 IEEE.

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：60/0 | 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).

A FIRST APPROACH TO AUTOMATIC MONITORING PRODEDURE OF CASE II WATER QUALITY FROM HJ-1 SATELLITE IMAGES 会议论文 OAI收割
2009 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-5, New York
Wu, Yuanfeng; Zhang, Bing; Li, Junsheng; Zhang, Hao; Shen, Qian; Wu, Di

收藏 | 浏览/下载：19/0 | 提交时间：2014/12/07

HJ-1 HJ1A HJ1B MODIS Remote Sensing Water Quality System Integration XML Automatic Monitoring Procedure SYSTEM LAKE

An automatic monitoring system for the shiplock slope of Wuqiangxi Hydropower Station 期刊论文 OAI收割
ENGINEERING GEOLOGY, 2004, 卷号: 76, 期号: 1-2, 页码: 79-91
作者: Liu, DA; Yang, ZF; Tang, CH; Wang, J; Liu, Y

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收藏 | 浏览/下载：18/0 | 提交时间：2018/09/26

Shiplock Slope Safety Automatic Monitoring Information System Wwuqiangxi Hydropower Station