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Noise removal for semi-airborne data using wavelet threshold and singular value decomposition 期刊论文  OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2022, 卷号: 201, 页码: 11
作者:  
Lv, Pengfei;  Wu, Xin;  Zhao, Yang;  Chang, Jianghao
  |  收藏  |  浏览/下载:64/0  |  提交时间:2022/07/18
Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective 期刊论文  OAI收割
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 卷号: 133, 页码: 62-78
作者:  
Wang, Jiaoe;  Huang, Jie;  Jing, Yue
  |  收藏  |  浏览/下载:11/0  |  提交时间:2020/05/19
Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective 期刊论文  OAI收割
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 卷号: 133, 页码: 62-78
作者:  
Wang, Jiaoe;  Huang, Jie;  Jing, Yue
  |  收藏  |  浏览/下载:47/0  |  提交时间:2020/05/19
Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks 期刊论文  OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1234-1243
作者:  
Xu Siya;  Li Peng;  Qi Feng;  Guo Shaoyong;  Zhou Guiping
  |  收藏  |  浏览/下载:30/0  |  提交时间:2021/02/02
optical fibre networks  quality of service  radio access networks  radiofrequency interference  resource allocation  smart power grids  virtualisation  wireless channels  realtime resource consumption  time-window based substrate network resource update mechanism  smart gird communication services  specific QoS requirements  resource utilization  Fiber-wireless access networks  real-time network resource allocation  smart gird Fiber-wireless networks  dynamic resource allocation method  unbalanced resource consumption  load-balancing based resource allocation mechanism  QoS-based Virtual network request sorting mechanism  allocation algorithm  resource status  substrate networks  Load-balancing  Quality of Service (QoS)  Smart grid communication networks  Fiber-wireless (Fi-Wi) networks  Resource allocation  
Sort optimization algorithm of median filtering based on FPGA (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010, April 24, 2010 - April 25, 2010, Kaifeng, China
作者:  
Li S.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.  
High-accuracy real-time automatic thresholding for centroid tracker (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.;  Wang Y.;  Wang Y.;  Wang Y.;  Zhang Y.
收藏  |  浏览/下载:38/0  |  提交时间:2013/03/25
Many of the video image trackers today use the centroid as the tracking point. In engineering  we can get several key pairs of peaks which can include the target and the background around it and use the method of Otsu to get intensity thresholds from them. According to the thresholds  it give a great help for us to get a glancing size  a target's centroid is computed from a binary image to reduce the processing time. Hence thresholding of gray level image to binary image is a decisive step in centroid tracking. How to choose the feat thresholds in clutter is still an intractability problem unsolved today. This paper introduces a high-accuracy real-time automatic thresholding method for centroid tracker. It works well for variety types of target tracking in clutter. The core of this method is to get the entire information contained in the histogram  we can gain the binary image and get the centroid from it. To track the target  so that we can compare the size of the object in the current frame with the former. If the change is little  such as the number of the peaks  the paper also suggests subjoining an eyeshot-window  we consider the object has been tracked well. Otherwise  their height  just like our eyes focus on a target  if the change is bigger than usual  position and other properties in the histogram. Combine with this histogram analysis  we will not miss it unless it is out of our eyeshot  we should analyze the inflection in the histogram to find out what happened to the object. In general  the impression will help us to extract the target in clutter and track it and we will wait its emergence since it has been covered. To obtain the impression  what we have to do is turning the analysis into codes for the tracker to determine a feat threshold. The paper will show the steps in detail. The paper also discusses the hardware architecture which can meet the speed requirement.  the paper offers a idea comes from the method of Snakes  
The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文  OAI收割
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore
Hong Y. X.; Cheng Z. B.; Dai F. H.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
This paper briefly introduces the collection and recognition of bio-medical signals  the other threading is analyzing data. Using the method  designs the method to collect FM signals. A detailed discussion on the system hardware  it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network  structure and functions is also given. Under LabWindows/CVI  Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure.  the hardware and the driver do compatible  the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively  expedites program reflect speed  improves the program to perform efficiency. One threading is collecting data