中国科学院机构知识库网格系统: 检索

Small-Scale Perception in Medical Body Area Networks 期刊论文 OAI收割
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM, 2019, 卷号: 7, 页码: 11
作者: Fan, Dou; Ren, Aifeng; Zhao, Nan; Haider, Daniyal; Yang, Xiaodong

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收藏 | 浏览/下载：23/0 | 提交时间：2020/03/30

Sensors Monitoring Wireless sensor networks Wireless communication Channel state information OFDM Real-time systems Breathing patterns C-band sensing technique non-invasive detection respiratory rate

Real-Time Vision through Haze Based on Polarization Imaging 期刊论文 OAI收割
Applied Sciences-Basel, 2019, 卷号: 9, 期号: 1, 页码: 14
作者: X.H.Wang; J.H.Ouyang; Y.Wei; F.Liu; G.Zhang

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收藏 | 浏览/下载：67/0 | 提交时间：2020/08/24

real-time observation,optical sensing,stokes vectors,information,processing technology,pollution,imager,sensor,Chemistry,Engineering,Materials Science,Physics

A fast real-time scheduling algorithm for WIA-PA 会议论文 OAI收割
2013 International Forum on Computer and Information Technology, IFCIT 2013, Shenzhen, China, December 24-25, 2013
作者: Jin X(金曦); Zeng P(曾鹏)

收藏 | 浏览/下载：31/0 | 提交时间：2014/04/16

Information technology MESH networking Network management Real time systems Scheduling Stars Time division multiple access

Structural damage identification using interval modeling technique based on Neuro-Fuzzy system 会议论文 OAI收割
International Conference on Airworthiness ＆ Fatigue-7th ICSAELS Series Conference, 中国北京/Beijing, China, 2013-03-25
作者: Deng ZM; Zhu FT; Zhang JF(张均锋)

收藏 | 浏览/下载：40/0 | 提交时间：2014/04/02

wavelet real-time filtering algorithm interval modeling technique adaptive Neuro-Fuzzy inference system uncertainty coordinates information fusion

Design of semi-physical simulation for small satellite by virtual display (EI CONFERENCE) 会议论文 OAI收割
2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011, September 23, 2011 - September 25, 2011, Hefei, China
Xu K.; Lv Y.; Jin G.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

Semi-physical simulation of attitude control system is the more synthetically test and verify for designing of small satellite control system. It is an important means of small satellite development. However the results of current semi-physical simulation system have a lot of non-intuitive. Compare with the actual environment the simulation environment still has striking disparity. So the shortcomings affect precision of simulation. Based on the virtual display technology the group semi-physical simulation system has been constructed for attitude control of small satellite due to the combination with xPC real-time environment the simulation computer high-precision single-axis air-bearing turntable reaction wheel air thrust device fiber gyroscopes sensors synchronizer power subsystem and wireless devices virtual display computer etc. Semi-physical simulation achieved the visual simulation in orbit and tracked new information of virtual environment of space into real-time simulation computer. Simulation results show that the simulation system for real-time attitude and orbit position of small satellite semi-physical simulation has an excellent display effect. At the same time Real-time transfuse of orbit information provides a more accurate space environment simulation. The simulation system of small satellite attitude control to design and evaluate the more direct and convenient. (2012) Trans Tech Publications Switzerland.

Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
作者: Wang Y.-Q.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all two images of the adjoining frames are processed by convolution operation get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.

Study on time registration method for photoelectric theodolite data fusion (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
Yang H.-T.; Gao H.-B.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

In range measurement theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.

Development situation and trend of domestic and international aerial mapping camera (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Ming L. W.; Xue L.; Hui C. X.; Jun L. Q.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

In the modern military affairs especially in the complex field the acquirement of real-time battlefield information and intelligence is getting more and more important most of this work is completed by aerial reconnaissance or aerial mapping equipment. Aerial mapping camera with time-sensitive and flexible features is playing an increasingly important role in modern warfare. With the development of technology aerial mapping camera has also gone through several generations gradually from film-based type to transmission type. The theory and composition of domestic and international typical aerial mapping camera is introduced from the development situation and trend in this paper. Finally with the domestic research status the development trend of aerial mapping camera is proposed. 2011 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).

Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE) 会议论文 OAI收割
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China
Su W. X.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

In order to improve the initial alignment accuracy and convergence rate of the SINS system proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems when it was effected by the initial value errors and dynamic model errors AUKF algorithm can real-time adjust the covariance of the state vector and observation vector and balance the right ratio of the state information and observation information in the filter results thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.